Journal of South China University of Technology(Natural Science Edition) ›› 2019, Vol. 47 ›› Issue (6): 72-79,93.doi: 10.12141/j.issn.1000-565X.180515

• Power & Electrical Engineering • Previous Articles     Next Articles

Load Aggregators Joint Scheduling Strategy Considering Multiple Demand Responses to Physical Constraints

DONG Ping1 WU Zidong1 CHEN Yongchun1 DUAN Qinggang2    

  1. 1． School of Electric Power，South China University of Technology，Guangzhou 510640，Guangdong，China; 2． Guangdong Electric Power Trading Center，Guangzhou 510030，Guangdong，China 
  • Received:2018-10-15 Revised:2019-01-11 Online:2019-06-25 Published:2019-05-05
  • Contact: 董萍(1978-)，女，博士，副教授，主要从事 FACTS 技术及电力系统优化与控制、需求响应研究． E-mail:epdping@scut.edu.cn
  • About author:董萍(1978-)，女，博士，副教授，主要从事 FACTS 技术及电力系统优化与控制、需求响应研究．
  • Supported by:
    Supported by the National Program on Key Basic Researth Project of China(2013CB228205) and the Natural Science Foundation of Guangdong Province(2018A0303130134)

PDF

598

Abstract: With the advancement of electricity market reforms，load aggregators have gained significant opportuni- ties due to their important role as a bridge between connected systems and end users． The physical constraints and the daily load cap constraints of Load Curtailment，Load Shifting，Utilizing Onsite Generation was considered in the load integrator scheduling optimization． The branch and bound method was used to ensure that the optimal solution was found，so as to determine the optimal scheduling strategy of the load integrator in the energy market． Finally， examples were given to analyze the impact of load integrator scheduling on physical constraints and joint scheduling constraints，which provide a theoretical basis for the actual scheduling of load aggregators．

Key words: load aggregator, energy market, demand response, mixed integer linear programming

CLC Number: