电力系统自动化2017，Vol.41Issue(19)：20-29,10.DOI:10.7500/AEPS20170227011
分散式电采暖负荷协同优化运行策略
Collaborative Optimal Operation Strategy for Decentralized Electric Heating Loads
摘要
Abstract
As a typical heat energy storage device,the decentralized electric heating load has a large power and contributes to the hysteresis and storability of electric energy output.But since the existing operation control mode is unitary and available only for single equipment,its impossible to achieve collaborative optimization of electric heaters on a regional scale.For this reason,this paper proposes the concept and framework of a smart electric heating network as well as optimization indexes that could be used to measure the running effect of this network.Then a deterministic operation optimization mode1 for this smart electric heating network is put forward.On the premise of ensuring peak-power limitation,the model is able to calculate the achievable maximum comfort level.By taking the maximum comfort level as a constraint,the minimum operating electricity charges can be calculated.Further,by introducing the uncertainty temperature fluctuation into the equivalent thermal parameter (ETP)model,a robust optimization model for the smart electric heating network is developed.The analysis of examples shows that,compared with the existing temperature control strategies,the deterministic optimization strategy is able to effectively reduce the peak load,significantly improve temperature control effect,and lower operating electricity charges.Compared with the deterministic optimization strategy,the robust optimization strategy can better ensure the comfort level,with its operating power charges slightly higher than those with the deterministic optimization strategy.The proposed optimization strategies can fully respond to the time-of-use price,which realizes load shifting indirectly while enhancing users' economic benefits.关键词
智能用电/电采暖/负荷调度/需求响应Key words
smart power utilization/electric heating/load dispatch/demand response引用本文复制引用
范帅,郏琨琪,郭炳庆,蒋利民,王治华,何光宇..分散式电采暖负荷协同优化运行策略[J].电力系统自动化,2017,41(19):20-29,10.基金项目
国家电网公司科技项目“主动配电系统前瞻技术研究”.This work is supported by State Grid Corporation of China. （）
