• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

ELECTRIC POWER CONSTRUCTION ›› 2021, Vol. 42 ›› Issue (2): 58-67.doi: 10.12204/j.issn.1000-7229.2021.02.008

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District Energy Center-Based Multi-Objective Optimization of Resident Electricity-Heat Energy Consumption

KUANG Cuizhe1, ZHANG Yongjun2, WANG Qun1, ZOU Zhouyiao1   

  1. 1. Shenzhen Polytechnic,Shenzhen 518055, Guangdong Province, China
    2. Research Center of Smart Energy Technology, School of Electric Power, South China University of Technology, Guangzhou 510640, China
  • Received:2020-09-28 Online:2021-02-01 Published:2021-02-09
  • Contact: WANG Qun
  • Supported by:
    2020 University-Level Project of Shenzhen Polytechnic(6020310011K);National Natural Science Foundation of China(52078305)

Abstract:

For the shortage of only electricity being considered in the resident energy consumption optimization, a new multi-objective optimization method for residential energy consumption coupling electricity-heat energy conversion appliances and district energy center (DEC) is proposed in this paper. To achieve generality, a general modeling method for resident consumption with DEC coupled is proposed according to the concept of energy hub at first time. Further, by constructing a mixed integer quadratic programming model which takes the minimum energy cost and least user discomfort as the object, the method takes the input power of residential energy conversion appliances and the energy conversion and storage equipment in DEC as the decision variables, and takes the feasibility and safety constraints into account. The multi-objective optimization of residential electricity-thermal energy consumption is realized. At the same time, to obtain the multi-objective optimal compromise solution, the satisfaction index of Pareto optimal solution is introduced according to fuzzy membership function. Finally, the verification and comparative analysis of the proposed algorithm are carried on energy consumption optimization for residents in a certain area in winter. The results show that the coupling and coordinated operation of household energy conversion appliances and DEC can optimize residential electricity and heat energy consumption at the same time and reduce the cost of residential energy consumption efficiently. Besides, the proposed multi-objective optimization scheduling model can provide users with multi-factor optimization scheme considering the economy and comfort of users.

Key words: district energy center (DEC), energy conversion appliances, resident energy consumption optimization, multi-objective optimization

CLC Number: