Power system planning method considering uncertainty value and entire market elementgame under market background
DOI:DOI: 10.19783/j.cnki.pspc.211017
Key Words:electricity market  multi-agent game  real options  power system planning
Author NameAffiliation
YANG Nan 1. Hubei Provincial Engineering Research Center of Intelligent Energy Technology, China Three Gorges University, Yichang 443002, China
2. Yingtan Power Supply Branch, State Grid Jiangxi Electric Power Co., Ltd., Yingtan 335000, China
3. State Grid Hubei Electric Power Co., Ltd., Wuhan 440000, China
4. Electric Power Research Institute, Yunnan Power Grid Co., Ltd, Kunming 650217, China
5. Economy & Technology Research Institute, State Grid Hubei Electric Power Co., Ltd., Wuhan 440000, China 
DING Li 1. Hubei Provincial Engineering Research Center of Intelligent Energy Technology, China Three Gorges University, Yichang 443002, China
2. Yingtan Power Supply Branch, State Grid Jiangxi Electric Power Co., Ltd., Yingtan 335000, China
3. State Grid Hubei Electric Power Co., Ltd., Wuhan 440000, China
4. Electric Power Research Institute, Yunnan Power Grid Co., Ltd, Kunming 650217, China
5. Economy & Technology Research Institute, State Grid Hubei Electric Power Co., Ltd., Wuhan 440000, China 
LIU Zhao 1. Hubei Provincial Engineering Research Center of Intelligent Energy Technology, China Three Gorges University, Yichang 443002, China
2. Yingtan Power Supply Branch, State Grid Jiangxi Electric Power Co., Ltd., Yingtan 335000, China
3. State Grid Hubei Electric Power Co., Ltd., Wuhan 440000, China
4. Electric Power Research Institute, Yunnan Power Grid Co., Ltd, Kunming 650217, China
5. Economy & Technology Research Institute, State Grid Hubei Electric Power Co., Ltd., Wuhan 440000, China 
YAN Jing 1. Hubei Provincial Engineering Research Center of Intelligent Energy Technology, China Three Gorges University, Yichang 443002, China
2. Yingtan Power Supply Branch, State Grid Jiangxi Electric Power Co., Ltd., Yingtan 335000, China
3. State Grid Hubei Electric Power Co., Ltd., Wuhan 440000, China
4. Electric Power Research Institute, Yunnan Power Grid Co., Ltd, Kunming 650217, China
5. Economy & Technology Research Institute, State Grid Hubei Electric Power Co., Ltd., Wuhan 440000, China 
XING Chao 1. Hubei Provincial Engineering Research Center of Intelligent Energy Technology, China Three Gorges University, Yichang 443002, China
2. Yingtan Power Supply Branch, State Grid Jiangxi Electric Power Co., Ltd., Yingtan 335000, China
3. State Grid Hubei Electric Power Co., Ltd., Wuhan 440000, China
4. Electric Power Research Institute, Yunnan Power Grid Co., Ltd, Kunming 650217, China
5. Economy & Technology Research Institute, State Grid Hubei Electric Power Co., Ltd., Wuhan 440000, China 
ZHU Binxin 1. Hubei Provincial Engineering Research Center of Intelligent Energy Technology, China Three Gorges University, Yichang 443002, China
2. Yingtan Power Supply Branch, State Grid Jiangxi Electric Power Co., Ltd., Yingtan 335000, China
3. State Grid Hubei Electric Power Co., Ltd., Wuhan 440000, China
4. Electric Power Research Institute, Yunnan Power Grid Co., Ltd, Kunming 650217, China
5. Economy & Technology Research Institute, State Grid Hubei Electric Power Co., Ltd., Wuhan 440000, China 
HUANG Yuehua 1. Hubei Provincial Engineering Research Center of Intelligent Energy Technology, China Three Gorges University, Yichang 443002, China
2. Yingtan Power Supply Branch, State Grid Jiangxi Electric Power Co., Ltd., Yingtan 335000, China
3. State Grid Hubei Electric Power Co., Ltd., Wuhan 440000, China
4. Electric Power Research Institute, Yunnan Power Grid Co., Ltd, Kunming 650217, China
5. Economy & Technology Research Institute, State Grid Hubei Electric Power Co., Ltd., Wuhan 440000, China 
ZHANG Xietian 1. Hubei Provincial Engineering Research Center of Intelligent Energy Technology, China Three Gorges University, Yichang 443002, China
2. Yingtan Power Supply Branch, State Grid Jiangxi Electric Power Co., Ltd., Yingtan 335000, China
3. State Grid Hubei Electric Power Co., Ltd., Wuhan 440000, China
4. Electric Power Research Institute, Yunnan Power Grid Co., Ltd, Kunming 650217, China
5. Economy & Technology Research Institute, State Grid Hubei Electric Power Co., Ltd., Wuhan 440000, China 
REN Yunlun 1. Hubei Provincial Engineering Research Center of Intelligent Energy Technology, China Three Gorges University, Yichang 443002, China
2. Yingtan Power Supply Branch, State Grid Jiangxi Electric Power Co., Ltd., Yingtan 335000, China
3. State Grid Hubei Electric Power Co., Ltd., Wuhan 440000, China
4. Electric Power Research Institute, Yunnan Power Grid Co., Ltd, Kunming 650217, China
5. Economy & Technology Research Institute, State Grid Hubei Electric Power Co., Ltd., Wuhan 440000, China 
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Abstract:The deepening of power market reform has introduced new problems to the field of power system planning. To cope with this change, a power system planning method considering the uncertainty value of planning and the game of entire market factors under a market background is proposed. First, an independent system operator (ISO) is introduced based on the analysis of the overall interests of participants in the power market, and the planning model of transmission companies is constructed from the perspective of market operation. Then, the location and capacity of the generator set, transmission line expansion, and distributed generation (DG) operation are taken as decision variables, and the game interaction mechanism between market participants is analyzed. A multi-agent game planning model based on RO theory is constructed. Simulation results based on the IEEE30 system verify the effectiveness and correctness of the proposed method. This work is supported by the National Natural Science Foundation of China (No. 51607104).
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