ZHENG Yunfei, XIONG Zhi, WANG Bo, PAN Xingya, PAN Xiao. Game Strategy of Regional Energy Aggregators Considering Optimal Accommodation Interval[J]. Modern Electric Power, 2022, 39(1): 64-71. DOI: 10.19725/j.cnki.1007-2322.2021.0062
Citation: ZHENG Yunfei, XIONG Zhi, WANG Bo, PAN Xingya, PAN Xiao. Game Strategy of Regional Energy Aggregators Considering Optimal Accommodation Interval[J]. Modern Electric Power, 2022, 39(1): 64-71. DOI: 10.19725/j.cnki.1007-2322.2021.0062

Game Strategy of Regional Energy Aggregators Considering Optimal Accommodation Interval

  • Along with continuous and in-depth development of electricity market, the construction and development of new energy resources increasingly speed up, so the research on transactional mode of electricity market considering rational accommodation of new energy resources is of importance. To implement the maximal consumption proportion of clean energy source by minimal total social cost, a concept of the optimal accommodation interval for new energy resources was proposed, and a master-slave game model for regional energy aggregators and power grid was established. Taking the minimum electricity purchasing cost as the objective and using the algorithm of Alternating Direction Method of Multipliers (abbr. ADMM), the game-agent calculated the winning electric quantity and the market clearing price and the game-client performed the optimal energy resource dispatching by improved genetic algorithm and re-reported electricity price to pursue the highest earning from selling electricity. After multi-round of games, finally both sides reached the Stackelberg equilibrium. Simulation results show that under the premise of ensuring accommodation weight of new energy resources the optimal accommodation interval can promote overall economic benefit of the society, and yet the two-tier optimized master-slave game model can further increase the benefit of both game sides, and the new energy resource accommodation rate can be promoted in the range of 1.07% to 1.32% within the optimal accommodation interval.
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