Critical peak rebate strategy and application to demand response  

作　　者：Hejun Yang Xinyu Zhang Yinghao Ma Dabo Zhang 

机构地区：[1]Anhui Provincial Laboratory of Renewable Energy Utilization and Energy Saving(Hefei University of Technology),Hefei,230009,Anhui Province,China

出　　处：《Protection and Control of Modern Power Systems》2021年第1期357-370,共14页现代电力系统保护与控制（英文）

基　　金：supported by Fundamental Research Funds for the Central Universities(PA2021KCPY0053);Anhui Provincial Natural Science Foundation(1908085QE237).

摘　　要：Time-of-use (TOU) pricing strategy is an important component of demand-side management (DSM), but the cost of supplying power during critical peak periods remains high under TOU prices. This affects power system reliability. In addition, TOU prices are usually applicable to medium- and long-term load control but cannot effectively regulate short-term loads. Therefore, this paper proposes an optimization method for TOU pricing and changes the electricity consumption patterns during the critical peak periods through a critical peak rebate (CPR). This reduces generation costs and improves power system reliability. An optimization model for peak-flat-valley (PFV) period partition is established based on fuzzy clustering and an enumeration iterative technique. A TOU pricing optimization model including grid-side and customer-side benefits is then proposed, and a simulated annealing particle swarm optimization (SAPSO) algorithm is used to solve the problem. Finally, a CPR decision model is developed to further reduce critical peak loads. The effectiveness of the proposed model and algorithm is illustrated through different case studies of the Roy Billinton Test System (RBTS).

关 键 词：Demand side management(DSM) TOU price optimization Critical peak rebate Reliability analysis 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]