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| Adaptability evaluation of new energy power systems based on game theory and an improved cloud model |
| DOI：10.19783/j.cnki.pspc.241063 |
| Key Words:new energy power system adaptability evaluation game theory improved cloud model comprehensive evaluation |
| Author Name | Affiliation | | TANG Mingrun1 | 1. North China Electric Power University, Beijing 102206, China
2. State Grid Beijing Electric Power Company,
Beijing 100054,China
3. Beijing Guodiantong Network Technology Co., Ltd., Beijing 100071, China | | LI Ruoyang2 | 1. North China Electric Power University, Beijing 102206, China
2. State Grid Beijing Electric Power Company,
Beijing 100054,China
3. Beijing Guodiantong Network Technology Co., Ltd., Beijing 100071, China | | CHENG Xiaoyu3 | 1. North China Electric Power University, Beijing 102206, China
2. State Grid Beijing Electric Power Company,
Beijing 100054,China
3. Beijing Guodiantong Network Technology Co., Ltd., Beijing 100071, China | | DAI Xinyin1 | 1. North China Electric Power University, Beijing 102206, China
2. State Grid Beijing Electric Power Company,
Beijing 100054,China
3. Beijing Guodiantong Network Technology Co., Ltd., Beijing 100071, China | | YU Xuefeng1 | 1. North China Electric Power University, Beijing 102206, China
2. State Grid Beijing Electric Power Company,
Beijing 100054,China
3. Beijing Guodiantong Network Technology Co., Ltd., Beijing 100071, China | | YANG Shuxia1 | 1. North China Electric Power University, Beijing 102206, China
2. State Grid Beijing Electric Power Company,
Beijing 100054,China
3. Beijing Guodiantong Network Technology Co., Ltd., Beijing 100071, China |
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| Abstract:Developing new energy power systems is essential for achieving the dual-carbon goal. Therefore, it is of great significance to evaluate the adaptability of new energy power systems in specific conditions. First, the influencing factors of adaptability in new energy power systems are analyzed. Based on the characteristics of the systems, an adaptability evaluation index system is established, comprising three primary indicators, i.e., grid structure, economic efficiency, and energy structure, along with 15 secondary indicators. Second, a combination weighting method based on game theory is proposed, integrating three objective assignment methods: the entropy weight method, CRITIC method, and the coefficient of variation methods, to obtain the optimal combined weights. Third, an improved cloud model is proposed to overcome the randomness of the indicators. The cloud model is improved using the combined weights to evaluate the adaptability of new energy power systems. Finally, a case study is conducted on the distribution network in area A of China to verify the accuracy and validity of the proposed evaluation model. The findings provide reliable recommendations for identifying system vulnerability and improving the adaptability of new energy power systems. |
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