电力需求侧管理2024，Vol.26Issue(3)：21-26,6.DOI:10.3969/j.issn.1009-1831.2024.03.004
激励条件下的大规模空调负荷聚合集群优化策略
Optimization strategies for large scale air conditioning load aggregation clusters under incentive conditions
摘要
Abstract
In order to improve the accuracy of large-scale air conditioning load aggregation and enhance the adjustable potential of air con-ditioning clusters,an optimization strategy for large-scale air conditioning load aggregation clusters under incentive conditions is proposed.Firstly,a large-scale air conditioning load aggregation architecture is established.Secondly,a second-order equivalent thermal parameter model for individual air conditioners is established,and the air conditioning loads in different regions are secondary aggregated based on the Monte Carlo method.Meanwhile,the relationship between user satisfaction and incentive levels is established.On this basis,optimiza-tion objective is to minimize the standard deviation between actual air conditioning aggregated power and the gap load,and to minimize the compensation cost for the air conditioning load aggregator.Particle swarm optimization algorithm is used to solve the problem.Finally,effectiveness of the proposed strategy is demonstrated through numerical examples.关键词
大规模空调/空调负荷集群/负荷聚合商/用户激励Key words
large scale air conditioning/air conditioning load cluster/load aggregator/user incentives分类
信息技术与安全科学引用本文复制引用
汤卓凡,赵建立,郑庆荣,赵希超,石杰..激励条件下的大规模空调负荷聚合集群优化策略[J].电力需求侧管理,2024,26(3):21-26,6.基金项目
国网甘肃省电力公司经济技术研究院管理咨询项目(SGGSJY00NYWT2100073) （SGGSJY00NYWT2100073）
