Multi‐type power generation planning method for power systems based on complex adaptive system theory

Autor: Xun Suo, Shuqiang Zhao, Yanfeng Ma, Ling Dong
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: IET Renewable Power Generation, Vol 17, Iss 8, Pp 1899-1911 (2023)
Druh dokumentu: article
ISSN: 1752-1424
1752-1416
DOI: 10.1049/rpg2.12732
Popis: Abstract Aiming at the problem of multi‐point power source layout planning for power systems, the output characteristics of a power system composed of wind power, photovoltaic power, hydropower, traditional thermal power, concentrated solar power and electrochemical energy storage are comprehensively analyzed. A power source multi‐point layout planning model for a power system based on complex adaptive system theory is proposed with a focus on the complementarity among these different energies and the combination of power optimization planning and complex adaptive system theory. With the minimum construction unit of various types of power sources as the ‘agent’, considering the interactions among agents and the accumulation of experiences, the behaviour rules of the model are constantly changed, the grid‐connected positions of various types of power sources are adjusted, and the optimal layout schemes for all kinds of power capacities for each node are obtained. In addition, an agent modelling method based on complex phenomena emergence with simple rules is proposed, which reveals the core idea of the complex adaptive system theory: adaptability creates complexity. Taking the new energy construction base in Northwest China as an example, the proposed method is verified to have a significant effect on improving energy consumption in the new system. Based on the current power capacity layout and the future grid structure in this area, the future power optimization scheme is determined, and it provides guiding significance for actual engineering construction.
Databáze: Directory of Open Access Journals
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