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Advances in Integration of Renewable Energy Technologies and Distribution Systems
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Advances in Integration of Renewable Energy Technologies and Distribution Systems

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A: Sustainable Energy".

Deadline for manuscript submissions: 20 June 2024 | Viewed by 3084

Special Issue Editors

Dr. Qianzhi Zhang

E-Mail Website
Guest Editor
Department of Electrical and Computer Engineering, The University of Alabama, Tuscaloosa, AL 35487, USA
Interests: power distribution systems; microgrids; renewable energy; smart grids
Special Issues, Collections and Topics in MDPI journals
Dr. Jiajia Chen

E-Mail Website
Guest Editor
School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, China
Interests: smart grid planning and operation; resilience and flexibility improvement; demand-side energy management and electricity market
Dr. Nan Yang

E-Mail Website
Guest Editor
College of Electrical Engineering & New Energy, China Three Gorges University, Yichang 443002, China
Interests: smart grids; energy optimization; power systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The global transition to a sustainable energy future hinges on the integration of renewable energy technologies into power systems. However, an increasing number of problems are caused by the high penetration of renewable energy technologies in distribution systems and microgrids, such as demand and supply mismatch, grid-edge voltage fluctuations, and the low-inertia of inverter-dominated power systems. The integration of renewable energy technologies into distribution systems is a multifaceted challenge; therefore, the interdisciplinary and innovative solutions are required for the transition to integrating renewable energy technologies into distribution systems that are more distributed, resilient, reliable, and efficient.

This Special Issue on “Advances in Integration of Renewable Energy Technologies and Distribution Systems” calls for state-of-the-art works on this promising research area, which aims to explore the most recent advances related to the theory, modelling, planning, operation, and control methods to facilitate renewable energy integration into distribution systems and microgrids.

Topics of interest for publication include, but are not limited to:

  • Grid Integration Strategies: Novel approaches for integrating different renewable energy technologies such as solar, wind, hydro, and geothermal into distribution systems while ensuring grid stability and reliability.
  • Grid Management and Control: Advanced grid management and control algorithms that enable real-time decision making with intermittent renewable energy sources, such as decentralized/distributed and model-based/-free methods.
  • Grid Resilience and Reliability: Strategies on enhancing grid resilience and reliability by leveraging grid-forming/-following capabilities of renewable energy sources.
  • Grid Hosting Capacity Improvements: Developing more accurate grid models and novel methods to assess and improve grid hosting capacity for renewable energy sources, considering factors like voltage stability and transient stability.
  • Distributed Energy Resources: Innovations in management and control of distributed renewables, such as advanced inverters, to enhance the penetration and efficiency of renewable energy sources.
  • Microgrids and Energy Storage Systems: Investigation of microgrids and energy storage systems that facilitate the integration of renewable energy, such as optimal microgrid sizing, microgrid control, and energy storage energy management.
  • Smart Grid Technologies: Utilization of smart meters, sensors, communication networks, and data analytics to optimize grid operation and improve renewable forecasting.
  • Source network load storage collaboration technology: Investigate the collaborative and coordinated operation mechanisms among "source network load storage", such as multi-energy complementary technology, power dispatching technology, and cloud technology.
  • Power electronic technology: Control strategy of intelligent switch and protection equipment, the design of renewable energy inverters, and power electronic topologies.
  • High voltage transmission technology and equipment: Covering the application, development trend, and technological innovation of HVDC transmission in the 'cross-regional and long-distance' transmission of new energy to alleviate the gap between regional power supply and demand.

Dr. Qianzhi Zhang
Dr. Jiajia Chen
Dr. Nan Yang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • renewable energy integration
  • distribution systems and microgrids
  • distributed energy resources
  • grid resilience
  • grid hosting capacity
  • power electronics
  • coordinated operation

Published Papers (5 papers)

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Research

15 pages, 1484 KiB  
Article
Capacity Demand Analysis of Rural Biogas Power Generation System with Independent Operation Considering Source-Load Uncertainty
by Miao Zhou, Jun Liu, Aihong Tang and Xinyu You
Energies 2024, 17(8), 1880; https://doi.org/10.3390/en17081880 - 15 Apr 2024
Viewed by 332
Abstract
With the greatly increased penetration rate of wind power, photovoltaic, and other new energy sources in the power system, the proportion of controllable units gradually decreased, resulting in increased system uncertainty. The biogas power generation system can effectively alleviate the pressure caused by [...] Read more.
With the greatly increased penetration rate of wind power, photovoltaic, and other new energy sources in the power system, the proportion of controllable units gradually decreased, resulting in increased system uncertainty. The biogas power generation system can effectively alleviate the pressure caused by source-load uncertainty in such high-permeability systems of new energy sources such as wind power and photovoltaic. Hence, from the perspective of the power system, this paper introduces a capacity demand analysis method for a rural biogas power generation system capable of independent operation amidst source-load uncertainty. To enhance the depiction of pure load demand uncertainty, a scene set generation method is proposed, leveraging quantile regression analysis and Gaussian mixture model clustering. Each scene’s data and probability of occurrence elucidate the uncertainty of pure load demand. An integrated optimal operation model for new energy and biogas-generating units, free from energy storage capacity constraints, is established based on the generated scenario set. Addressing considerations such as biogas utilization rate and system operation cost, a biogas storage correction model, utilizing the gas storage deviation degree index and the cost growth rate index, is developed to determine biogas demand and capacity. The example results demonstrate the significant reduction in gas storage construction costs and charging and discharging imbalances achieved by the proposed model while ensuring systemic operational cost effectiveness. Full article
(This article belongs to the Special Issue Advances in Integration of Renewable Energy Technologies and Distribution Systems)
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22 pages, 3697 KiB  
Article
A Bi-Level Optimal Scheduling Strategy for Microgrids for Temperature-Controlled Capacity and Time-Shifted Capacity, Considering Customer Satisfaction
by Yulong Yang and Zhiwei Zhang
Energies 2024, 17(8), 1803; https://doi.org/10.3390/en17081803 - 09 Apr 2024
Viewed by 489
Abstract
Since microgrids can effectively integrate renewable energy, energy storage devices, and controllable loads, this advantage promotes the rapid development and application of microgrid technology. However, with the high proportion of renewable energy access, only considering how energy is optimally distributed in microgrids can [...] Read more.
Since microgrids can effectively integrate renewable energy, energy storage devices, and controllable loads, this advantage promotes the rapid development and application of microgrid technology. However, with the high proportion of renewable energy access, only considering how energy is optimally distributed in microgrids can no longer meet the actual demand. How to aggregate user-side controllable loads to form regulation resources has become a research hotspot, and the users, as a passive party in the load scheduling process, should also be an important consideration in their perception of the use of electricity. First, a control model for temperature-controlled loads and a time-shift model for time-shiftable loads are developed. Then, the comprehensive electricity satisfaction model of users is established, and the two-layer optimal scheduling model of microgrids considering users’ satisfaction is proposed, with users as the upper layer and microgrids as the lower layer, and the two-layer model is transformed into a single-layer model according to the KKT condition for solving. Finally, the effect of the weighting factor for satisfaction on the economy is discussed through the analysis of examples, which verifies the effectiveness of the two-layer model. Full article
(This article belongs to the Special Issue Advances in Integration of Renewable Energy Technologies and Distribution Systems)
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19 pages, 4693 KiB  
Article
Static-Voltage-Stability Analysis of Renewable Energy-Integrated Distribution Power System Based on Impedance Model Index
by Yang Wang, Yongxiang Cai, Wei Li, Zhukui Tan, Zihong Song, Yue Li, Hao Bai and Tong Liu
Energies 2024, 17(5), 1028; https://doi.org/10.3390/en17051028 - 22 Feb 2024
Viewed by 536
Abstract
Static-voltage stability has become one of the most significant risks faced by large-scale renewable energy integration. However, traditional methods for static-voltage-stability analysis are often overly complex. This paper constructs an equivalent impedance model for renewable energy-integrated distribution power systems, proposing a static-voltage analysis [...] Read more.
Static-voltage stability has become one of the most significant risks faced by large-scale renewable energy integration. However, traditional methods for static-voltage-stability analysis are often overly complex. This paper constructs an equivalent impedance model for renewable energy-integrated distribution power systems, proposing a static-voltage analysis method for renewable energy-integrated distribution power systems based on an impedance model index. This method has been verified to be applicable not only to a renewable energy single-infeed system but also to a multi-infeed system. Furthermore, an analysis is conducted on the influence of the integration capacity, location of renewable energy, and the topology of networks on the impedance model index, indicating that a higher impedance model index corresponds to greater static-voltage-stability margins in the system. Hence, during the planning of renewable energy integration, the plan with the highest impedance model index should be selected. Finally, the accuracy of the analysis method and conclusions in this paper was validated based on the IEEE 14-node system. Full article
(This article belongs to the Special Issue Advances in Integration of Renewable Energy Technologies and Distribution Systems)
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14 pages, 4537 KiB  
Article
Hotspot Temperature Prediction of Relay Protection Equipment Based on a Physical-Model-Aided Data-Driven Method
by Long Jin, Zexin Zhou, Youjun Li, Zhiyang Zou and Weisen Zhao
Energies 2024, 17(4), 816; https://doi.org/10.3390/en17040816 - 08 Feb 2024
Viewed by 547
Abstract
Relay protection equipment (RPE) is a type of automation equipment aiming to protect power systems from further damage caused by local faults. It is thus important to ensure the normal operation of RPE. As the power density of electronic components continuously increases, the [...] Read more.
Relay protection equipment (RPE) is a type of automation equipment aiming to protect power systems from further damage caused by local faults. It is thus important to ensure the normal operation of RPE. As the power density of electronic components continuously increases, the overheating problem of RPE cannot be neglected. Given the difficulties in implementing direct measurement and predicting development trends of RPE temperature, a novel hotspot temperature monitoring method for RPE was proposed, which is a data-driven method. The generative adversarial network, aided by a physical model, is used to address small samples. Afterwards, a stacked ensemble model established based on random forests was used to predict the hotspot temperature of the RPE. Experiment results show that the proposed method can effectively predict hotspot temperature of RPE with the predictive error lower than 2%. And comparative results demonstrate the superiority of the proposed method compared to other methods. Full article
(This article belongs to the Special Issue Advances in Integration of Renewable Energy Technologies and Distribution Systems)
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18 pages, 6123 KiB  
Article
Consideration of Multi-Objective Stochastic Optimization in Inter-Annual Optimization Scheduling of Cascade Hydropower Stations
by Jun Jia, Guangming Zhang, Xiaoxiong Zhou, Mingxiang Zhu, Zhihan Shi and Xiaodong Lv
Energies 2024, 17(4), 772; https://doi.org/10.3390/en17040772 - 06 Feb 2024
Viewed by 625
Abstract
There exists a temporal and spatial coupling effect among the hydropower units in cascade hydropower stations which constitutes a complex planning problem. Researching the multi-objective optimization scheduling of cascade hydropower stations under various spatiotemporal inflow impacts is of significant importance. Previous studies have [...] Read more.
There exists a temporal and spatial coupling effect among the hydropower units in cascade hydropower stations which constitutes a complex planning problem. Researching the multi-objective optimization scheduling of cascade hydropower stations under various spatiotemporal inflow impacts is of significant importance. Previous studies have typically only focused on the economic dispatch issues of cascade hydropower stations, with little attention given to their coupling mechanism models and the uncertainty impacts of inflows. Firstly, this paper establishes a coupled optimization scheduling model for cascade hydropower stations and elaborates on the operational mechanism of cascade hydropower stations. Secondly, according to the needs of actual scenarios, two types of optimization objectives are set, considering both the supply adequacy and peak-shaving capacity as indicators, with the total residual load and the peak-valley difference of the residual load as comprehensive optimization objectives. Subsequently, considering the uncertainty impact of the inflow side, a stochastic optimization model for inflow is established based on a normal distribution probability. Finally, case study analyses demonstrate that the proposed model not only effectively achieves supply stability but also reduces the peak-valley difference in load, and can achieve optimized scheduling under the uncertain environment of inflow. Full article
(This article belongs to the Special Issue Advances in Integration of Renewable Energy Technologies and Distribution Systems)
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