Research on Weight Allocation Method of Renewable Energy Consumption Responsibility Based on Evolutionary Game Stochastic Optimization

Autor: JIAO Yiwei, XIE Min, LIU Mingbo, HE Runquan, HUANG Binbin, HE Zhichun
Jazyk: English<br />Chinese
Rok vydání: 2022
Předmět:
Zdroj: 南方能源建设, Vol 9, Iss 1, Pp 122-129 (2022)
Druh dokumentu: article
ISSN: 2095-8676
DOI: 10.16516/j.gedi.issn2095-8676.2022.01.018
Popis: [Introduction] Aiming at allocating renewable energy consumption responsibility weight problem among market subjects, an allocation method based on evolutionary game and stochastic optimization is proposed. [Method] First of all, each market subject was taken as a limited rational individual participate in the weakly linked evolutionary game, and the absorption weight undertaking scheme that minimizes its own cost in the evolutionary equilibriumwas obtained and the selection strategy tendency of each market subject under the probability interval of different rewards and punishments adopted by the government was obtained. Then, after getting the probability interval of different reward and punishment measures taken by the government, a stochastic optimization model was used to get the specific scheme of absorbing weight which couldminimize the cost of each subject in each probability interval. [Result] The effectiveness and practicability of the proposed method is verified by calculating the data of 170 market entities in a provincial power grid. [Conclusion] A new method and idea on the weight distribution method of renewable energy absorption responsibility is provided, and feasible suggestions for the government to strengthen the enthusiasm of market subjects in the absorption of renewable energyare put forward in this paper.
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