多利益主体参与下主动配电网完全信息动态博弈行为

doi:10.19595/j.cnki.1000-6753.tces.170873

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Abstract With the further opening up of the electricity market, the diversification and complication of the transaction has brought new challenges for the active distribution network scheduling operation. The strategy of the dynamic game with complete information in active distribution network(ADN) has been proposed for the coordination problem of ADN. Firstly, considering the scheduling resources such as distributed generation, demand response and so on, an improved "trapezoidal utility function model" is introduced to establish a multi-stakeholder response behavior model including distribution network operators and load aggregators under the complete information dynamic game; Secondly, based on Weber Fischer's Law, a sequential bargaining function is present to characterize the game behavior of each participant in the dynamic game of sequential bargaining; Finally, the flow of dynamic game with complete information in ADN is studied, and the dynamic game particle swarm optimization algorithm is put forward to solve the problem. Taking the actual distribution network in central China as an example, the simulation results has verified the validity of the model. The results also show that the dynamic game with complete information in active distribution network shows following benefits: lower marginal power generation costs, more wind power consumption and higher total social benefits.

Key words： Active distribution network game theory demand response multi-stakeholder

Received: 19 June 2017 Published: 14 August 2018

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	Li Lixing
	Miao Shihong
	Sun Dandan
	Li Chao
	Ye Chang

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Li Lixing,Miao Shihong,Sun Dandan等. Dynamic Games of Complete Information in Active Distribution Network with Multi - Stakeholder Participation[J]. Transactions of China Electrotechnical Society, 2018, 33(15): 3499-3509.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.170873 OR https://dgjsxb.ces-transaction.com/EN/Y2018/V33/I15/3499

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