Power Dispatch Stability Technology Based on Multi-Energy Complementary Alliances

Yiming Zhao, Chengjun Zhang (), Changsheng Wan, Dong Du, Jing Huang and Weite Li
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Yiming Zhao: School of Cyber Science and Engineering, Southeast University, Nanjing 210000, China
Chengjun Zhang: School of Cyber Science and Engineering, Southeast University, Nanjing 210000, China
Changsheng Wan: School of Cyber Science and Engineering, Southeast University, Nanjing 210000, China
Dong Du: School of Cyber Science and Engineering, Southeast University, Nanjing 210000, China
Jing Huang: Nicholas School of the Environment, Duke University, Durham, NC 27708, USA
Weite Li: School of Artificial Intelligence, Chongqing Technology and Business University, Chongqing 400067, China

Mathematics, 2025, vol. 13, issue 13, 1-27

Abstract: In the context of growing global energy demand and increasingly severe environmental pollution, ensuring the stable dispatch of new energy sources and the effective management of power resources has become particularly important. This study focuses on the reliability and stability issues of new energy dispatch considering the complementary advantages of multiple energy types. It aims to enhance dispatch stability and energy utilization through an innovative Distributed Overlapping Coalition Formation (DOCF) model. A distributed algorithm utilizing tabu search is proposed to solve the complex optimization problem in power resource allocation. The overlapping coalitions consider synergies between different types of resources and intelligently allocate based on the heterogeneous demands of power loads and the supply capabilities of power stations. Simulation results demonstrate that DOCF can significantly improve power grid resource utilization efficiency and dispatch stability. Particularly in handling intermittent power resources such as solar and wind energy, the proposed model effectively reduces peak shaving time and improves the overall network energy efficiency. Compared with the preference relationship based on selfish and Pareto sequence, the PGG-TS algorithm based on BMBT has an average utility of 10.2% and 25.3% in terms of load, respectively. The methodology and findings of this study have important theoretical and practical value for guiding actual energy management practices and promoting the wider utilization of renewable energy.

Keywords: power grid dispatch; stability; overlapping coalition formation; new energy; distributed algorithm (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2025
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