针对单一电价策略无法满足多种柔性负荷充分调度的问题,提出一种考虑削峰贡献奖惩和精细化调控的多种柔性负荷主从博弈优化策略。首先,依据各柔性负荷能达到的最大削峰贡献,制定差异化的阶梯型奖惩机制;其次,将微网运营商作为领导者,将用户聚合商、精细化温度控制的空调聚合商和考虑出行随机性的电动汽车聚合商作为跟随者,构建多种柔性的主从博弈优化模型;最后,算例表明该文策略能有效挖掘多种柔性负荷的削峰潜力,在此基础上实现微网与多种柔性负荷多方收益提升。
Abstract
To address the issues of the inability of a single electricity price strategy to meet the problem of adequate dispatch of multiple flexible loads, this paper proposed a multi-load master-slave game optimization strategy considering peak shaving rewards and fine load regulation. firstly, according to the maximum peak cutting contribution of each flexible load, differentiated ladder reward and punishment mechanism was established. secondly, a multiple flexible master-slave game optimization model was constructed in which the microgrid operator is taken as the leader, and the customer aggregator, and the air conditioner aggregator with fine temperature control, and the electric vehicle aggregator with travel stochasticity are taken as the follower. finally, a numerical example shows that the proposed strategy can effectively tap the peaking potential of a variety of flexible loads, and based on this, achieve multi-benefit improvement for microgrid and a variety of flexible loads.
关键词
需求响应 /
主从博弈 /
削峰填谷 /
优化决策 /
空调
Key words
demand response /
master-slave game /
peak shaving /
optimization decision /
air conditioner
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基金
中央高校优秀青年团队培育项目（FRF-EYIT-23-06）; 北京市昌平区“科技副总”专项资助（202502006022）; 北京市昌平区“科技副总”专项资助（202302007013）
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