考虑最优消纳区间的区域能源聚合商博弈策略
摘要：随着电力市场的不断深入发展，新能源建设开发不断加快，研究考虑新能源合理消纳的电力市场交易模式具有重要意义。为实现以最小的全社会成本完成最大化清洁能源消费占比，提出新能源“最优消纳区间”的概念，并建立区域能源聚合商与电网的主从博弈模型。博弈主体以最小购电成本为目标通过交替方向乘子算法计算出中标电量与出清电价，而博弈从体通过改进遗传算法进行最优能源调度并重新上报电价，以追求最高售电收益。双方经过多轮博弈最终达到Stackelberg均衡。结果表明“最优消纳区间”能够在保障新能源消纳权重的前提下，提升社会的整体经济效益，而双层优化的主从博弈模型可进一步增加博弈双方的利益，并实现“最优消纳区间”内新能源消纳率1.07%~1.32%的提升。
Abstract: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.
标题：考虑最优消纳区间的区域能源聚合商博弈策略
英文标题：Game Strategy of Regional Energy Aggregators Considering Optimal Accommodation Interval
作者：郑云飞, 熊志, 王博, 潘兴亚, 潘笑,
关键词：电力市场, 新能源, 最优消纳区间, 主从博弈, 粒子群算法,
发表日期：2022-01-10
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