Electric Power ›› 2023, Vol. 56 ›› Issue (6): 148-157.DOI: 10.11930/j.issn.1004-9649.202211022

• New Energy • Previous Articles     Next Articles

Multi-objective Cooperative Optimization of Multi-heterogeneous Energy System Considering Energy Conservation

CHEN Quan1, ZONG Xuanjun1,2, LI Mengyuan3   

  1. 1. State Grid Jiangsu Electric Power Co., Ltd., Economic Research Institute, Nanjing 210000, China;
    2. College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China;
    3. State Grid Corporation of China, Beijing 100031, China
  • Received:2022-11-05 Revised:2023-04-05 Accepted:2023-02-03 Online:2023-06-23 Published:2023-06-28
  • Supported by:
    This work is supported by National Natural Science Foundation of China (Research on Microgrid Security Risk Assessment, No.51477041).

Abstract: The planning and operation of multi-heterogeneous energy systems often only considers a single optimization objective, which is not conducive to the balanced among economic operation, low carbon emission and energy conservation. This paper proposes a multi-dimensional objective collaborative optimization method that considers energy saving. Firstly, a multi-dimensional optimization objective is proposed with consideration of system economy, environmental protection and energy saving, and a multi-objective optimization model framework for multi-heterogeneous energy system is established by modeling energy conversion and distribution equipment in the system. Then, the NSGA-Ⅲ (non-dominated sorting genetic algorithm Ⅲ) is utilized to solve the multi-objective collaborative optimization model proposed in this paper, and the optimal feasible solution set (Pareto optimal solution set) is obtained. Finally, based on the simulation example, the effectiveness of the proposed method is verified through analysis of the optimal solution set and decision-maker preference. It is also demonstrated that considering the objective of energy conservation can avoid the system's excessive preference to consuming natural gas energy.

Key words: multi-heterogeneous energy system, multi-objective, collaborative optimization, NSGA-Ⅲ, energy conservation