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Interruptible Load Scheduling Model Based on an Improved Chicken Swarm Optimization Algorithm

CSEE Journal of Power and Energy Systems 2021年第2期7卷 232-240页

作者： Jinsong Wang Fan Zhang Huanan Liu Jianyong Ding Ciwei Gao Department of Electrical Computerand Systems EngineeringCase Western Reserve UniversityCleveland Ohio 44106USA Department of Electrical Engineering Northeast Electric Power UniversityJilin 132012China School of Electrical Engineering Southeast UniversityNanjing 210096China

With the continuous growth of the tertiary industry and residential loads,balancing the power supply and consumption during peak demand time has become a critical *** studies try to alleviate peak load by increasing power generation on the supply *** to the short duration of peak load,this may cause redundant installation ***,others attempt to shave peak demand by installing energy storage ***,the aforementioned research did not consider interruptible load regulation when optimizing system *** fact,regulating interruptible load has great potential for reducing system peak *** this paper,an interruptible load scheduling model considering the user subsidy rate is first proposed to reduce system peak load and operational *** model has fully addressed the constraints of minimum daily load reduction and user interruption load *** that,by taking a community in Shanghai as an example,the improved chicken swarm optimization algorithm is applied to solve the interruptible load scheduling ***,the simulation results validate the efficacy of the proposed optimization algorithm and indicate the significant advantages of the proposed model in alleviating the peak load and reducing operational costs.

关键词： Demand response improved Chicken Swarm Optimization algorithm interruptible load scheduling model peak load user subsidy rate

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