电力需求侧管理2025,Vol.27Issue(5):43-49,7.DOI:10.3969/j.issn.1009-1831.2025.05.007
计及自适应接入的家用空调协同调控策略
Collaborative control strategy for household air conditioners with adaptive access
摘要
Abstract
A collaborative control strategy for domestic air conditioners with adaptive access is proposed addressing communication barri-ers caused by diverse and incompatible device protocols in heterogeneous domestic air conditioners,along with low computational efficien-cy in real-time regulation.First,the domestic air conditioner information interaction architecture is constructed,and the adaptive access method is proposed on this basis.Then,the deep reinforcement learning multi-conditioner collaborative control strategy is developed,and the soft-max sampling strategy and the prioritized experience replay mechanism are introduced to improve the MAD3QN algorithm,and the SMPER-MAD3QN algorithm is proposed.Finally,a centralized training with decentralized execution is implemented based on SMPER-MAD3QN,which allows multiple air conditioners to collaboratively participate in the regulation of the algorithm.The simulation results measured that the packet loss rate of multi-protocol domestic air conditioner information interaction is 0.36%,and the interaction latency is lower than 25ms,which indicates that the adaptive access can significantly shorten the real-time decision-making time and realize the unified management and control of multi-protocol domestic air conditioner.Meanwhile,the proposed algorithm realizes the collaborative participation of multiple air conditioners in demand response(DR)under the premise of guaranteeing the comfort of users,and the algo-rithm has excellent robustness,which improves the flexibility and reliability of the dispatchable resources on the demand side.关键词
家用空调/自适应接入/深度强化学习/集中式训练分布式执行/需求响应Key words
household air conditioner/adaptive access/deep reinforcement learning/centralized training with decentralized execution/de-mand response分类
信息技术与安全科学引用本文复制引用
石坤,胡祥,陈宋宋,祁兵,樊其锋,宫飞翔,刘颖..计及自适应接入的家用空调协同调控策略[J].电力需求侧管理,2025,27(5):43-49,7.基金项目
国家电网有限公司科技项目(5400-202355570A-3-2-ZN) (5400-202355570A-3-2-ZN)