• 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 ›› 2019, Vol. 40 ›› Issue (8): 51-58.doi: 10.3969/j.issn.1000-7229.2019.08.007

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Energy Management of Industrial Park Integrated Energy System Based on Improved Genetic Algorithm

GONG Jianfeng1,  CAO Yuchen2, HU Zhibing1, CHEN Xingyi2, GE Pengjiang1, ZHANG Peng2   

  1. 1. Economic and Technological Research Institute, State Grid Ningxia Electric Power Co., Ltd., Yinchuan 750011,China;2. Key Laboratory of the Ministry of Education on Smart Power Grids (Tianjin University), Tianjin 300072,China
  • Online:2019-08-01

Abstract: In view of the poor coordination and economy of energy management in the integrated energy system of industrial parks, this paper proposes an energy management method considering energy supply reliability. Firstly, the typical operation mode of integrated energy system is constructed, and the efficiency and economic model of the main components in the system are established. Secondly, considering the operation and maintenance cost of the devices and the energy interaction cost between the park and the main power grid, the economic dispatching model of integrated energy system is constructed, which takes the comprehensive generation cost as the objective function. The constraints are cooling and heating load balance, unit climbing power and energy supply reliability. Then, the encoding method of genetic algorithm is improved to solve the time series problem of energy management, and a new optimization algorithm is proposed. Finally, an example is given to verify the effectiveness and practicability of the proposed method.

Key words: integrated energy system, energy management, CCHP, energy supply reliability, genetic algorithm

CLC Number: