浙江电力2024，Vol.43Issue(8)：74-84,11.DOI:10.19585/j.zjdl.202408009
计及通信资源优化的温控负荷调控策略
A scheduling strategy for thermostatically-controlled loads considering communica-tion resource optimization
摘要
Abstract
Due to the transmission demand for massive demand-side data,the pressure on communication networks has doubled and redoubled,leading to communication delays,congestion,interruptions,and other problems,which impact the real-time interaction of supply and demand services and hinder further implementation of load scheduling.To address the aforementioned issues and achieve precise consumption of new energy generation under communication constraints,a refined load scheduling strategy considering communication resource optimization is proposed.Firstly,based on information physical fusion technology,a scheduling mechanism for thermostatically-controlled loads considering the influence of communication networks is established.Subsequently,by use of a com-munication network model and an improved thermostatically-controlled load model that takes account of communica-tion delay,an improved particle swarm optimization(PSO)that combines adaptive weighting and reverse learning is utilized,a refined thermostatically-controlled load scheduling considering communication resource balance is achieved.Finally,numerical simulation demonstrates that the proposed method can reasonably allocate communica-tion resources and thermostatically-controlled loads maintain good consumption capability even under significant communication link delays.关键词
温控负荷/负荷调控/新能源消纳/通信时延/AO-MO粒子群优化算法Key words
thermostatically-controlled load/load scheduling/new energy consumption/communication delay/AO-MO particle swarm optimization引用本文复制引用
权超,冯怿彬,赵鲁臻,陶炳权,谢杭,杨浩然,祁兵..计及通信资源优化的温控负荷调控策略[J].浙江电力,2024,43(8):74-84,11.基金项目
国网浙江省电力有限公司科技项目(5211NB230004) （5211NB230004）
