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New Power System Planning and Scheduling
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New Power System Planning and Scheduling

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F1: Electrical Power System".

Deadline for manuscript submissions: closed (25 September 2025) | Viewed by 2593

Special Issue Editor

Dr. Yue Yin

E-Mail Website
Guest Editor
College of Electrical Engineering, Sichuan University, Chengdu 610065, China
Interests: power system design planning and optimal operation; renewable energy power system
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

As energy demand continues to rise, the transition to power systems characterized by a significant integration of renewable energy sources is becoming an unavoidable trend. In comparison to traditional power systems, the emerging paradigm, which incorporates numerous power electronic components, exhibits enhanced flexibility and regulatory capabilities. However, a fundamental shift has occurred in the primary sources of electricity generation within this new framework. The inherent intermittency, volatility, and uncertainty associated with renewable energy sources complicate the stable operation of power systems. Concurrently, the widespread utilization of power electronics has introduced a range of challenges. Consequently, existing planning and dispatch models for traditional power systems are ill-equipped to address the diverse elements of this new paradigm, necessitating the development of innovative planning and dispatch models that are tailored to the contemporary context. Furthermore, advances in digitalization, intelligence, and the emergence of digital twin technology offer sophisticated tools and methodologies for the dynamic modelling of new power systems.

In response to this, the journal Energies has organized a Special Issue entitled “New Power System Planning and Scheduling”, aimed at collaboratively exploring recent advancements, theoretical contributions, technological applications, and standards pertinent to new power systems. This effort seeks to foster comprehensive research and technological innovation within the realm of smart low-carbon energy systems.

Dr. Yue Yin
Guest Editor

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 250 words) can be sent to the Editorial Office for assessment.

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

  • new power systems
  • power system planning
  • power supply guarantees
  • power system operation optimization

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Published Papers (4 papers)

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Research

27 pages, 2423 KB  
Article
Nodal Marginal Price Decomposition Mechanism for the Hydrogen Energy Market Considering Hydrogen Transportation Characteristics
by Shouheng Li, Wei Yang, Kangkang Wang and Anan Zhang
Energies 2025, 18(21), 5681; https://doi.org/10.3390/en18215681 - 29 Oct 2025
Viewed by 336
Abstract
With the growing significance of hydrogen in the global energy transition, research on its pricing mechanisms has become increasingly crucial. Focusing on hydrogen markets predominantly supplied by electrolytic production, this study proposes a nodal marginal hydrogen price decomposition algorithm that explicitly incorporates the [...] Read more.
With the growing significance of hydrogen in the global energy transition, research on its pricing mechanisms has become increasingly crucial. Focusing on hydrogen markets predominantly supplied by electrolytic production, this study proposes a nodal marginal hydrogen price decomposition algorithm that explicitly incorporates the time-delay dynamics inherent in hydrogen transmission. A four-dimensional price formation framework is established, comprising the energy component, network loss component, congestion component, and time-delay component. To address the nonconvex optimization challenges arising in the market-clearing model, an improved second-order cone programming method is introduced. This method effectively reduces computational complexity through the reconstruction of time-coupled constraints and reformulation of the Weymouth equation. On this basis, the analytical expression of the nodal marginal hydrogen price is rigorously derived, elucidating how transmission dynamics influence each price component. Empirical studies using a modified Belgian 20-node system demonstrate that the proposed pricing mechanism dynamically adapts to load variations, with hydrogen prices exhibiting a strong correlation with electricity cost fluctuations. The results validate the efficacy and superiority of the proposed approach in hydrogen energy market applications. This study provides a theoretical foundation for designing efficient and transparent pricing mechanisms in emerging hydrogen markets. Full article
(This article belongs to the Special Issue New Power System Planning and Scheduling)
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27 pages, 9303 KB  
Article
A Graphical Tool for Predicting Class EF Inverter Behavior Including Non-Ideal Load Conditions
by Baptiste Daire, Christian Martin, Fabien Sixdenier, Charles Joubert and Loris Pace
Energies 2025, 18(20), 5409; https://doi.org/10.3390/en18205409 - 14 Oct 2025
Viewed by 277
Abstract
This paper presents a novel analytical framework for the design and understanding of class EF inverters under both optimal and non-optimal load conditions. Unlike conventional approaches that rely heavily on numerical simulations, the proposed method provides a fast, visual, and intuitive tool for [...] Read more.
This paper presents a novel analytical framework for the design and understanding of class EF inverters under both optimal and non-optimal load conditions. Unlike conventional approaches that rely heavily on numerical simulations, the proposed method provides a fast, visual, and intuitive tool for analyzing inverter operation. Its effectiveness is demonstrated experimentally on a 15 MHz class EF inverter across three distinct load conditions, showing good agreement with theoretical predictions. To highlight the robustness and broad applicability of the approach, a class Φ2 inverter—a lumped-element analog of the class EF inverter—is also implemented and successfully analyzed. By combining theoretical insight, experimental validation, and generalization to alternative topologies, the proposed framework offers an efficient, accessible, and versatile tool for high-frequency resonant inverter design. Full article
(This article belongs to the Special Issue New Power System Planning and Scheduling)
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22 pages, 1637 KB  
Article
Optimized Dispatch of a Photovoltaic-Inclusive Virtual Power Plant Based on a Weighted Solar Irradiance Probability Model
by Jiyun Yu, Xinsong Zhang, Xiangyu He, Chaoyue Wang, Jun Lan and Jiejie Huang
Energies 2025, 18(18), 4882; https://doi.org/10.3390/en18184882 - 14 Sep 2025
Viewed by 433
Abstract
Under China’s dual-carbon strategic objectives, virtual power plants (VPPs) actively participate in the coupled electricity–carbon market through the optimized scheduling of distributed energy resources, simultaneously stabilizing grid operations and reducing carbon emissions. Photovoltaic (PV) generation, a cornerstone resource within VPP systems, introduces significant [...] Read more.
Under China’s dual-carbon strategic objectives, virtual power plants (VPPs) actively participate in the coupled electricity–carbon market through the optimized scheduling of distributed energy resources, simultaneously stabilizing grid operations and reducing carbon emissions. Photovoltaic (PV) generation, a cornerstone resource within VPP systems, introduces significant challenges in scheduling due to its inherent output variability. To increase the accuracy in the characterization of the PV output uncertainty, a weighted probability distribution of solar irradiance, based on historical irradiance data, is newly proposed. The leveraging rejection sampling technique is applied to generate solar irradiance scenarios that are consistent with the proposed weighted solar irradiance probability model. Further, a confidence interval-based filtering mechanism is applied to eliminate extreme scenarios, ensuring statistical credibility and enhancing practicability in actual dispatch scenarios. Based on the filtered scenarios, a novel dispatch strategy for the VPP operation in the electricity–carbon market is proposed. Numerical case studies verify that scenarios generated by the weighted solar irradiance probability model are capable of closely replicating historical PV characteristics, and the confidence interval filter effectively excludes improbable extreme scenarios. Compared to conventional normal distribution-based methods, the proposed approach yields dispatch solutions that are more closely aligned with the optimal dispatch of the historical irradiance data, demonstrating the improved accuracy in the probabilistic modelling of the PV output uncertainty. Consequently, the obtained dispatch strategy shows the improved capability to ensure the market revenue of the VPP considering the fluctuations of the PV output. Full article
(This article belongs to the Special Issue New Power System Planning and Scheduling)
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24 pages, 7107 KB  
Article
A Synergistic Planning Framework for Low-Carbon Power Systems: Integrating Coal-Fired Power Plant Retrofitting with a Carbon and Green Certificate Market Coupling Mechanism
by Zifan Tang, Yue Yin, Chao Chen, Changle Liu, Zhuoxun Li and Benyao Shi
Energies 2025, 18(9), 2403; https://doi.org/10.3390/en18092403 - 7 May 2025
Cited by 1 | Viewed by 836
Abstract
The intensifying impacts of climate change induced by carbon emissions necessitate the implementation of urgent mitigation strategies. Given that the power sector is a major contributor to global carbon emissions, strategic decarbonization planning in this sector is of paramount importance. This study proposes [...] Read more.
The intensifying impacts of climate change induced by carbon emissions necessitate the implementation of urgent mitigation strategies. Given that the power sector is a major contributor to global carbon emissions, strategic decarbonization planning in this sector is of paramount importance. This study proposes a synergistic planning framework for low-carbon power systems that integrates coal-fired power plants (CFPPs) and a carbon and green certificate market coupling mechanism, thereby facilitating a “security–economic–low-carbon” tri-objective transition in power systems. The proposed framework facilitates dynamic decision-making regarding the retrofitting of CFPPs, investments in renewable energy resources, and energy storage systems. By evaluating three distinct CFPP retrofitting pathways, the framework enhances economic efficiency and reduces carbon emissions, achieving reductions of 28.67% in total system costs and 2.96% in CO2 emissions. Implementing the carbon–green certificate market coupling mechanism further unlocks the market value of green certificates, thereby providing economic incentives for clean energy projects and increasing flexibility in the allocation of carbon emission quotas for enterprises. Relative to cases that consider only carbon trading or only green certificate markets, the coupled mechanism reduces the total cost by 10.96% and 15.56%, and decreases carbon emissions by 27.10% and 47.36%, respectively. The collaborative planning framework introduced in this study enhances economic performance, increases renewable energy penetration, and reduces carbon emissions, thus facilitating the low-carbon transition of power systems. Full article
(This article belongs to the Special Issue New Power System Planning and Scheduling)
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