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Search Results (414)

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16 pages, 1628 KiB  
Article
A Stackelberg Game-Based Joint Clearing Model for Pumped Storage Participation in Multi-Tier Electricity Markets
by Lingkang Zeng, Mutao Huang, Hao Xu, Zhongzhong Chen, Wanjing Li, Jingshu Zhang, Senlin Ran and Xingbang Chen
Processes 2025, 13(8), 2472; https://doi.org/10.3390/pr13082472 - 4 Aug 2025
Abstract
To address the limited flexibility of pumped storage power stations (PSPSs) under hierarchical clearing of energy and ancillary service markets, this study proposes a joint clearing mechanism for multi-level electricity markets. A bi-level optimization model based on the Stackelberg game is developed to [...] Read more.
To address the limited flexibility of pumped storage power stations (PSPSs) under hierarchical clearing of energy and ancillary service markets, this study proposes a joint clearing mechanism for multi-level electricity markets. A bi-level optimization model based on the Stackelberg game is developed to characterize the strategic interaction between PSPSs and the market operator. Simulation results on the IEEE 30-bus system demonstrate that the proposed mechanism captures the dynamics of nodal supply and demand, as well as time-varying network congestion. It guides PSPSs to operate more flexibly and economically. Additionally, the mechanism increases PSPS profitability, reduces system costs, and improves frequency regulation performance. This game-theoretic framework offers quantitative decision support for PSPS participation in multi-level spot markets and provides insights for optimal storage deployment and market mechanism improvement. Full article
(This article belongs to the Section Energy Systems)
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23 pages, 1706 KiB  
Article
Community-Based Halal Tourism and Information Digitalization: Sustainable Tourism Analysis
by Immas Nurhayati, Syarifah Gustiawati, Rofiáh Rofiáh, Sri Pujiastuti, Isbandriyati Mutmainah, Bambang Hengky Rainanto, Sri Harini and Endri Endri
Tour. Hosp. 2025, 6(3), 148; https://doi.org/10.3390/tourhosp6030148 - 1 Aug 2025
Viewed by 180
Abstract
This study employs a mixed method. In-depth interviews and observational studies are among the data collection approaches used in qualitative research. The quantitative method measures the weight of respondents’ answers to the distributed questionnaire. The questionnaire, containing 82 items, was distributed to 202 [...] Read more.
This study employs a mixed method. In-depth interviews and observational studies are among the data collection approaches used in qualitative research. The quantitative method measures the weight of respondents’ answers to the distributed questionnaire. The questionnaire, containing 82 items, was distributed to 202 tourists to collect their perceptions based on the 4A tourist components. The results indicate that tourists’ perceptions of attractions, accessibility, and ancillary services are generally positive. In contrast, perceptions of amenity services are less favorable. Using the scores from IFAS, EFAS, and the I-E matrix, the total weighted scores for IFAS and EFAS are 2.68 and 2.83, respectively. The appropriate strategy for BTV is one of aggressive growth in a position of strengths and opportunities. The study highlights key techniques, including the application of information technology in service and promotion, the strengthening of community and government roles, the development of infrastructure and facilities, the utilization of external resources, sustainable innovation, and the encouragement of local governments to issue regulations for halal tourism villages. By identifying drivers and barriers from an economic, environmental, social, and cultural perspective, the SWOT analysis results help design strategies that can make positive contributions to the development of sustainable, community-based halal tourism and digital information in the future. Full article
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11 pages, 778 KiB  
Article
Gut and Other Differences Between Female and Male Veterans—Vive La Différence? Bringing It All Together
by Martin Tobi, Donald Bradley, Fadi Antaki, MaryAnn Rambus, Noreen F. Rossi, James Hatfield, Suzanne Fligiel and Benita McVicker
Gastrointest. Disord. 2025, 7(3), 48; https://doi.org/10.3390/gidisord7030048 - 22 Jul 2025
Viewed by 253
Abstract
Background: The number of women veterans has been rising steadily since the Gulf War and many assume the functions of their male counterparts. Women face unique obstacles in their service, and it is imperative that differences in physiology not be overlooked so [...] Read more.
Background: The number of women veterans has been rising steadily since the Gulf War and many assume the functions of their male counterparts. Women face unique obstacles in their service, and it is imperative that differences in physiology not be overlooked so as to provide better and appropriate care to our women in uniform. Despite this influx and incorporation of female talent, dedicated reports contrasting female and male veterans are rare, outside of specific psychological studies. We therefore attempt to contrast gut constituents, absorption, innate immune system, and nutritional differences to provide a comprehensive account of similarities and differences between female and male veterans, from our single-center perspective, as this has not been carried out previously. Herein, we obtained a detailed roster of commonly used biomedical tests and some novel entities to detect differences between female and male veterans. The objective of this study was to detect differences in the innate immune system and other ancillary test results to seek differences that may impact the health of female and male veterans differently. Methods: To contrast biochemical and sociomedical parameters in female and male veterans, we studied the data collected on 450 female veterans and contrasted them to a group of approximately 1642 males, sequentially from 1995 to 2022, all selected because of above-average risk for CRC. As part of this colorectal cancer (CRC) screening cross-sectional and longitudinal study, we also collected stool, urine, saliva, and serum specimens. We used ELISA testing to detect stool p87 shedding by the Adnab-9 monoclonal and urinary organ-specific antigen using the BAC18.1 monoclonal. We used the FERAD ratio (blood ferritin/fecal p87), a measure of the innate immune system to gauge the activity of the innate immune system (InImS) by dividing the denominator p87 (10% N-linked glycoprotein detected by ELISA) into the ferritin level (the enumerator, a common lab test to assess anemia). FERAD ratios have not been performed elsewhere despite past Adnab-9 commercial availability so we have had to auto-cite our published data where appropriate. Results: Many differences between female and males were detected. The most impressive differences were those of the InImS where males clearly had the higher numbers (54,957 ± 120,095) in contrast to a much lower level in females (28,621 ± 66,869), which was highly significantly different (p < 0.004). Mortality was higher in males than females (49.4% vs. 24.1%; OR 3.08 [2.40–3.94]; p < 0.0001). Stool p87, which is secreted by Paneth cells and may have a protective function, was lower in males (0.044 ± 0.083) but higher in females (0.063 ± 0.116; p < 0.031). Immunohistochemistry of the Paneth cell-fixed p87 antigen was also higher in females (in the descending colon and rectum). In contrast, male ferritin levels were significantly higher (206.3 ± 255.9 vs. 141.1 ± 211.00 ng/mL; p < 0.0006). Females were less likely to be diabetic (29.4 vs. 37.3%; OR 0.7 [0.55–0.90]; p < 0.006). Females were also more likely to use NSAIDs (14.7 vs. 10.7%, OR 1.08 [1.08–2.00]; p < 0.015). Females also had borderline less GI bleeding by fecal immune tests (FITs), with 13.2% as opposed to 18.2% in males (OR 0.68 [0.46–1.01]; p = 0.057), but were less inclined to have available flexible sigmoidoscopy (OR 0.68 [0.53–0.89]; p < 0.004). Females also had more GI symptomatology, a higher rate of smoking, and were significantly younger than their male counterparts. Conclusions: This study shows significant differences with multiple parameters in female and male veterans. Full article
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19 pages, 2017 KiB  
Article
Analysis of Grid Scale Storage Effectiveness for a West African Interconnected Transmission System
by Julius Abayateye and Daniel Zimmerle
Energies 2025, 18(14), 3741; https://doi.org/10.3390/en18143741 - 15 Jul 2025
Viewed by 245
Abstract
The West Africa Power Pool (WAPP) Interconnected Transmission System (WAPPITS) has faced challenges with frequency control due to limited primary frequency control reserves (PFRs). Battery Energy Storage Systems (BESSs) have been identified as a possible solution to address frequency control challenges and to [...] Read more.
The West Africa Power Pool (WAPP) Interconnected Transmission System (WAPPITS) has faced challenges with frequency control due to limited primary frequency control reserves (PFRs). Battery Energy Storage Systems (BESSs) have been identified as a possible solution to address frequency control challenges and to support growing levels of variable renewable energy in the WAPPITS. This paper uses a dynamic PSS/E grid simulation to evaluate the effectiveness of BESSs and conventional power plants for the maximum N-1 contingency scenario in WAPPITS—the loss of 400 MW of generation. BESSs outperform conventional power plants in fast frequency response; a BESS-only PFR mix produces the best technical performance for the metrics analyzed. However, this approach does not have the best marginal cost; a balanced mix of BESSs and conventional reserves achieves adequate performance on all metrics to meet grid requirements. This hybrid approach combines BESSs’ rapid power injection with the lower cost of conventional units, resulting in improved nadir frequencies (e.g., 49.70–49.76 Hz), faster settling times (1.00–2.20 s), and cost efficiency. The study indicates that an optimal approach to frequency control should include a combination of regulatory reforms and coordinated reserve procurement that includes BESS assets. Regulatory reforms should require or incentivize conventional plant to provide PFRs, possibly through creation of a (new to WAPPITS) market for ancillary services. While not a comprehensive analysis of all variables, these findings provide critical insights for policymakers and system operators. Full article
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13 pages, 920 KiB  
Project Report
Analysis of Primary and Secondary Frequency Control Challenges in African Transmission System
by Julius Abayateye and Daniel J. Zimmerle
Energy Storage Appl. 2025, 2(3), 10; https://doi.org/10.3390/esa2030010 - 8 Jul 2025
Cited by 1 | Viewed by 326
Abstract
This study analyzed the frequency control challenges within the West Africa Power Pool Interconnected Transmission System (WAPPITS) as it plans to incorporate variable renewable energy (VRE) resources, such as wind and solar energy. Concerns center on the ability of WAPPITS primary frequency control [...] Read more.
This study analyzed the frequency control challenges within the West Africa Power Pool Interconnected Transmission System (WAPPITS) as it plans to incorporate variable renewable energy (VRE) resources, such as wind and solar energy. Concerns center on the ability of WAPPITS primary frequency control reserves to adapt to high VRE penetration given the synchronization and frequency control problems experienced by the three separate synchronous blocks of WAPPITS. Optimizing solutions requires a better understanding of WAPPITS’ current frequency control approach. This study used questionnaires to understand operators’ practical experience with frequency control and compared these observations to field tests at power plants and frequency response metrics during system events. Eight (8) of ten (10) Transmission System Operators (TSOs) indicated that primary frequency control service was implemented in the TSO, but nine (9) of ten TSOs indicated that the reserves provided were inadequate to meet system needs. Five (5) of ten (10) respondents answered “yes” to the provision of secondary frequency control service, while only one (1) indicated that secondary reserves were adequate. Three (3) TSOs indicated they have AGC (Automatic Generation Control) installed in the control room, but none have implemented it for secondary frequency control. The results indicate a significant deficiency in primary control reserves, resulting in a reliance on under-frequency load shedding for primary frequency control. Additionally, the absence of an AGC system for secondary frequency regulation required manual intervention to restore frequency after events. To ensure the effectiveness of battery energy storage systems (BESSs) and the reliable operation of the WAPPITS with a higher penetration of inverter-based VRE, this paper recommends (a) implementing and enforcing basic primary frequency control structures through regional regulation and (b) establishing an ancillary services market to mobilize secondary frequency control resources. Full article
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23 pages, 1811 KiB  
Article
Transforming Grid Systems for Sustainable Energy Futures: The Role of Energy Storage in Offshore Wind and Floating Solar
by Sajid Hussain Qazi, Marvi Dashi Kalhoro, Dimitar Bozalakov and Lieven Vandevelde
Batteries 2025, 11(6), 233; https://doi.org/10.3390/batteries11060233 - 16 Jun 2025
Viewed by 846
Abstract
Integrating offshore renewable energy (ORE) into power systems is vital for sustainable energy transitions. This paper examines the challenges and opportunities in integrating ORE, focusing on offshore wind and floating solar, into grid systems. A simulation was conducted using a 5 MW offshore [...] Read more.
Integrating offshore renewable energy (ORE) into power systems is vital for sustainable energy transitions. This paper examines the challenges and opportunities in integrating ORE, focusing on offshore wind and floating solar, into grid systems. A simulation was conducted using a 5 MW offshore wind turbine and a 2 MW floating PV (FPV) system, complemented by a 10 MWh battery energy storage system (BESS). The simulation utilized the typical load profile of Belgium and actual 2023 electricity price data, along with realistic wind and solar generation patterns for a location at the sea border of Belgium and the Netherlands. The use of real operational and market data ensures the practical relevance of the results. This study highlights the importance of BESS, targeting a significant revenue by participating in system imbalance and providing ancillary services (aFRR and mFRR). Key findings emphasize the need for grid infrastructure transformation to support ORE’s growing investments and deployment. This research underscores the essential role of technological innovation and strategic planning in optimizing the potential of ORE sources. Full article
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20 pages, 1882 KiB  
Article
Optimal Bidding Strategies for the Participation of Aggregators in Energy Flexibility Markets
by Gian Giuseppe Soma, Giuseppe Marco Tina and Stefania Conti
Energies 2025, 18(11), 2870; https://doi.org/10.3390/en18112870 - 30 May 2025
Viewed by 538
Abstract
The increasing adoption of Renewable Energy Sources (RESs), due to international energy policies mainly related to the decarbonization of electricity production, raises several operating issues for power systems, which need “flexibility” in order to guarantee reliable and secure operation. RESs can be considered [...] Read more.
The increasing adoption of Renewable Energy Sources (RESs), due to international energy policies mainly related to the decarbonization of electricity production, raises several operating issues for power systems, which need “flexibility” in order to guarantee reliable and secure operation. RESs can be considered examples of Distributed Energy Resources (DERs), which are typically electric power generators connected to distribution networks, including photovoltaic and wind systems, fuel cells, micro-turbines, etc., as well as energy storage systems. In this case, improved operation of power systems can be achieved through coordinated control of groups of DERs by “aggregators”, who also offer a “flexibility service” to power systems that need to be appropriately remunerated according to market rules. The implementation of the aggregator function requires the development of tools to optimally operate, control, and dispatch the DERs to define their overall flexibility as a “market product” in the form of bids. The contribution of the present paper in this field is to propose a new optimization strategy for flexibility bidding to maximize the profit of the aggregator in flexibility markets. The proposed optimal scheduling procedure accounts for important practical and technical aspects related to the DERs’ operation and their flexibility estimation. A case study is also presented and discussed to demonstrate the validity of the method; the results clearly highlight the efficacy of the proposed approach, showing a profit increase of 10% in comparison with the base case without the use of the proposed methodology. It is evident that quantitatively more significant results can be obtained when larger aggregations (more participants) are considered. Full article
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35 pages, 1579 KiB  
Article
Feasibility Analysis of Storage and Renewable Energy Ancillary Services for Grid Operations
by Evyatar Littwitz and Ofira Ayalon
Energies 2025, 18(11), 2836; https://doi.org/10.3390/en18112836 - 29 May 2025
Viewed by 733
Abstract
This study examines the feasibility of deploying renewable energy sources and storage systems to provide ancillary services (ASs), traditionally supplied by conventional power systems, in an electric-island power grid. As renewable energy penetration grows, grid stability becomes increasingly challenged as reduced system inertia [...] Read more.
This study examines the feasibility of deploying renewable energy sources and storage systems to provide ancillary services (ASs), traditionally supplied by conventional power systems, in an electric-island power grid. As renewable energy penetration grows, grid stability becomes increasingly challenged as reduced system inertia and higher variability occur. The study focuses on Israel, which currently lacks operational AS markets. This research explores regulatory, economic, and technical mechanisms to enable renewables and storage systems to provide such services, using a comparative analysis of Germany and California, US, as use cases, along with interview analysis with experts from the Israeli energy sector. The findings highlight, on the one hand, notable regulatory and infrastructural barriers limiting the ability of alternative sources to provide ancillary services. On the other hand, the feasibility and importance of integrating renewables and storage, as regulatory adjustments, market-based procurement mechanisms, and incentive schemes, are to be undertaken. Adopting a structured AS market in Israel, influenced by international best practices, can improve grid resilience, allowing higher renewable integration and supporting long-term energy security and sustainability. Full article
(This article belongs to the Special Issue Energy and Environmental Economic Theory and Policy)
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24 pages, 1270 KiB  
Article
Multi-Criteria Decision-Making for Assessing and Evaluating Health and Wellness Tourism Destination Potential Using the 6AsTD Framework: A Case Study of Nakhon Ratchasima Province, Thailand
by Phongchai Jittamai, Sovann Toek, Kritsada Phengarree, Kingkan Kongkanjana and Natdanai Chanlawong
Sustainability 2025, 17(11), 4995; https://doi.org/10.3390/su17114995 - 29 May 2025
Viewed by 975
Abstract
Health and wellness tourism is a rapidly expanding segment of the global tourism industry, driven by increasing consumer awareness of well-being and lifestyle enhancement. As the demand for wellness travel grows, destinations are expected to offer high standards of safety, hygiene, rehabilitation, and [...] Read more.
Health and wellness tourism is a rapidly expanding segment of the global tourism industry, driven by increasing consumer awareness of well-being and lifestyle enhancement. As the demand for wellness travel grows, destinations are expected to offer high standards of safety, hygiene, rehabilitation, and holistic experiences. This study aims to identify and evaluate the key attributes and determinants for developing health and wellness tourism destinations by applying the 6As Tourism Development framework: Attractions, Accessibility, Amenities, Activities, Available Packages, and Ancillary Services. A multi-criteria decision-making approach, specifically the TOPSIS, was employed to assess destination potential through a case study of Nakhon Ratchasima Province, Thailand. The results indicate that Attractions, Accessibility, and Amenities are the top three priorities for wellness tourists. Sub-criteria such as natural scenery, cultural significance, accessibility for all, safety, and accommodation quality are particularly influential. Three districts in Nakhon Ratchasima were found to exhibit distinct strengths—Pak Chong is best suited for rehabilitative tourism (e.g., aroma and water therapy), aligning with mind and nutrition wellness components; Wang Nam Khiao is ideal for ecotourism and cultural experiences, supporting environmental and nutritional dimensions; while Mueang Nakhon Ratchasima excels in sports tourism, supporting physical and nutritional well-being. The study offers practical insights for policymakers and tourism stakeholders to design sustainable, visitor-centered wellness destinations. The proposed framework supports strategic planning and resource allocation for health-focused tourism development. Full article
(This article belongs to the Special Issue Health and Sustainable Lifestyle: Balancing Work and Well-Being)
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30 pages, 3063 KiB  
Article
Operation Strategy of Multi-Virtual Power Plants Participating in Joint Electricity–Carbon Market Based on Carbon Emission Theory
by Jiahao Zhou, Dongmei Huang, Xingchi Ma and Wei Hu
Energies 2025, 18(11), 2820; https://doi.org/10.3390/en18112820 - 28 May 2025
Viewed by 587
Abstract
The global energy transition is accelerating, bringing new challenges to power systems. A high penetration of renewable energy increases grid volatility. Virtual power plants (VPPs) address this by dynamically responding to market signals. They integrate renewables, energy storage, and flexible loads. Additionally, they [...] Read more.
The global energy transition is accelerating, bringing new challenges to power systems. A high penetration of renewable energy increases grid volatility. Virtual power plants (VPPs) address this by dynamically responding to market signals. They integrate renewables, energy storage, and flexible loads. Additionally, they participate in multi-tier markets, including energy, ancillary services, and capacity trading. This study proposes a load factor-based VPP pre-dispatch model for optimal resource allocation. It incorporates the coupling effects of electricity–carbon markets. A Nash negotiation strategy is developed for multi-VPP cooperation. The model uses an accelerated adaptive alternating-direction multiplier method (AA-ADMM) for efficient demand response. The approach balances computational efficiency with privacy protection. Revenue is allocated fairly based on individual contributions. The study uses data from a VPP dispatch center in Shanxi Province. Shanxi has abundant wind and solar resources, necessitating advanced scheduling methods. Cooperative operation boosts profits for three VPPs by CNY 1101, 260, and 823, respectively. The alliance’s total profit rises by CNY 2184. Carbon emissions drop by 31.3% to 8.113 tons, with a CNY 926 gain over independent operation. Post-cooperation, VPP1 and VPP2 see slight emission increases, while VPP3 achieves major reductions. This leads to significant low-carbon benefits. This method proves effective in cutting costs and emissions. It also balances economic and environmental gains while ensuring fair profit distribution. Full article
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27 pages, 2490 KiB  
Article
An Optimized Dynamic Benefit Evaluation Method for Pumped Storage Projects in the Context of the “Dual Carbon” Goal
by Cong Feng, Qi Guo, Qian Liu and Feihong Jian
Energies 2025, 18(11), 2815; https://doi.org/10.3390/en18112815 - 28 May 2025
Viewed by 361
Abstract
With the rapid development of a new power system under the “dual carbon” goal, pumped storage has gained increasing attention for its role in integrating renewable energy and enhancing power system flexibility and security. This study proposes a dynamic benefit evaluation method for [...] Read more.
With the rapid development of a new power system under the “dual carbon” goal, pumped storage has gained increasing attention for its role in integrating renewable energy and enhancing power system flexibility and security. This study proposes a dynamic benefit evaluation method for pumped storage projects, addressing the limitations of static analyses in capturing the evolving benefit trends. In this paper, the multi-stage dynamic benefit evaluation model was constructed by introducing time-of-use tariffs, periodic capacity pricing mechanism, and ancillary service revenue prediction based on machine learning and the multiple regression method. Sensitivity analysis was applied to explore the impact of key parameter variations on economic indicators. The results show that the benefit structure differs significantly across stages, and with electricity market development, a diversified pattern supported by electricity, capacity, and ancillary service revenues will emerge. The application of the model to an actual operating pumped storage power station yielded an internal rate of return of 8.18%, a payback period of 16.4 years, and a 26% increase in net present value compared with traditional methods. The proposed model expands the theoretical framework for pumped storage benefit evaluation and provides strong support for investment decisions, policy design, and operational strategy optimization. Full article
(This article belongs to the Section B: Energy and Environment)
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34 pages, 5896 KiB  
Article
Networked Multi-Agent Deep Reinforcement Learning Framework for the Provision of Ancillary Services in Hybrid Power Plants
by Muhammad Ikram, Daryoush Habibi and Asma Aziz
Energies 2025, 18(10), 2666; https://doi.org/10.3390/en18102666 - 21 May 2025
Viewed by 442
Abstract
Inverter-based resources (IBRs) are becoming more prominent due to the increasing penetration of renewable energy sources that reduce power system inertia, compromising power system stability and grid support services. At present, optimal coordination among generation technologies remains a significant challenge for frequency control [...] Read more.
Inverter-based resources (IBRs) are becoming more prominent due to the increasing penetration of renewable energy sources that reduce power system inertia, compromising power system stability and grid support services. At present, optimal coordination among generation technologies remains a significant challenge for frequency control services. This paper presents a novel networked multi-agent deep reinforcement learning (N—MADRL) scheme for optimal dispatch and frequency control services. First, we develop a model-free environment consisting of a photovoltaic (PV) plant, a wind plant (WP), and an energy storage system (ESS) plant. The proposed framework uses a combination of multi-agent actor-critic (MAAC) and soft actor-critic (SAC) schemes for optimal dispatch of active power, mitigating frequency deviations, aiding reserve capacity management, and improving energy balancing. Second, frequency stability and optimal dispatch are formulated in the N—MADRL framework using the physical constraints under a dynamic simulation environment. Third, a decentralised coordinated control scheme is implemented in the HPP environment using communication-resilient scenarios to address system vulnerabilities. Finally, the practicality of the N—MADRL approach is demonstrated in a Grid2Op dynamic simulation environment for optimal dispatch, energy reserve management, and frequency control. Results demonstrated on the IEEE 14 bus network show that compared to PPO and DDPG, N—MADRL achieves 42.10% and 61.40% higher efficiency for optimal dispatch, along with improvements of 68.30% and 74.48% in mitigating frequency deviations, respectively. The proposed approach outperforms existing methods under partially, fully, and randomly connected scenarios by effectively handling uncertainties, system intermittency, and communication resiliency. Full article
(This article belongs to the Collection Artificial Intelligence and Smart Energy)
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19 pages, 2710 KiB  
Article
A Fast-Converging Virtual Power Plant Game Trading Model Based on Reference Ancillary Service Pricing
by Jiangfan Yuan, Min Zhang, Hongxun Tian, Xiangyu Guo, Xiao Chang, Tengxin Wang and Yingjun Wu
Energies 2025, 18(10), 2567; https://doi.org/10.3390/en18102567 - 15 May 2025
Viewed by 327
Abstract
In order to improve the trading efficiency of virtual power plants (VPPs) participating in the market of multi-type auxiliary services under the gaming environment, an initial trading price setting method based on the information of VPPs’ response characteristics and real-time supply and demand [...] Read more.
In order to improve the trading efficiency of virtual power plants (VPPs) participating in the market of multi-type auxiliary services under the gaming environment, an initial trading price setting method based on the information of VPPs’ response characteristics and real-time supply and demand changes is proposed to accelerate the convergence speed of the game. Firstly, a master–slave game trading model is established based on the reference auxiliary service pricing, which consists of a tariff coefficient and a basic tariff. Secondly, the tariff coefficient model is constructed based on response information, including response rate, quality, and reliability. Again, the basic tariff model is constructed based on the real-time supply and demand situation and the real-time grid tariff. Finally, the effectiveness of the proposed method in accelerating the convergence speed of the game is verified by analyzing 12 VPPs under the three auxiliary service scenarios of peaking, frequency regulation, and reserve. Full article
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25 pages, 5444 KiB  
Article
Geospatial Data and Google Street View Images for Monitoring Kudzu Vines in Small and Dispersed Areas
by Alba Closa-Tarres, Fernando Rojano and Michael P. Strager
Earth 2025, 6(2), 40; https://doi.org/10.3390/earth6020040 - 13 May 2025
Viewed by 1517
Abstract
Comprehensive reviews of continuously vegetated areas to determine dispersed locations of invasive species require intensive use of computational resources. Furthermore, effective mechanisms aiding identification of locations of specific invasive species require approaches relying on geospatial indicators and ancillary images. This study develops a [...] Read more.
Comprehensive reviews of continuously vegetated areas to determine dispersed locations of invasive species require intensive use of computational resources. Furthermore, effective mechanisms aiding identification of locations of specific invasive species require approaches relying on geospatial indicators and ancillary images. This study develops a two-stage data workflow for the invasive species Kudzu vine (Pueraria montana) often found in small areas along roadsides. The INHABIT database from the United States Geological Survey (USGS) provided geospatial data of Kudzu vines and Google Street View (GSV) a set of images. Stage one built up a set of Kudzu images to be implemented in an object detection technique, You Only Look Once (YOLO v8s), for training, validating, and testing. Stage two defined a dataset of confirmed locations of Kudzu which was followed to retrieve images from GSV and analyzed with YOLO v8s. The effectiveness of the YOLO v8s model was assessed to determine the locations of Kudzu identified from georeferenced GSV images. This data workflow demonstrated that field observations can be virtually conducted by integrating geospatial data and GSV images; however, its potential is confined to the updated periodicity of GSV images or similar services. Full article
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24 pages, 3105 KiB  
Article
Aggregation Method and Bidding Strategy for Virtual Power Plants in Energy and Frequency Regulation Markets Using Zonotopes
by Jun Zhan, Mei Huang, Xiaojia Sun, Zuowei Chen, Yubo Zhang, Xuejing Xie, Yilin Chen, Yining Qiao and Qian Ai
Energies 2025, 18(10), 2458; https://doi.org/10.3390/en18102458 - 10 May 2025
Viewed by 570
Abstract
Aggregating and scheduling flexible resources through virtual power plants (VPPs) is a key measure used to improve the flexibility of new power systems. To maximize the regulation potential of flexible resources and achieve the efficient, unified scheduling of flexible resource clusters by VPPs, [...] Read more.
Aggregating and scheduling flexible resources through virtual power plants (VPPs) is a key measure used to improve the flexibility of new power systems. To maximize the regulation potential of flexible resources and achieve the efficient, unified scheduling of flexible resource clusters by VPPs, this study proposed a flexible resource aggregation method for VPPs and a bidding strategy for participation in the electricity and frequency regulation markets. First, considering the differences in the grid frequency regulation demand across periods, an improved zonotope approximation method was adopted to internally approximate the feasible region of flexible resources, thereby achieving the efficient aggregation of feasible regions. On this basis, the aggregation model was applied to the optimization model for VPPs, and a day-ahead double-layer bidding model of VPPs participating in the electricity and frequency regulation markets was proposed. The upper layer optimizes the bidding strategies to maximize the VPP revenue, while the lower layer achieves joint market clearing with the goal of maximizing social welfare. Finally, case studies were undertaken to validate the effectiveness of the proposed method. Full article
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