Multi-objective Optimization of Electricity-Gas-Heat Integrated Energy System Based on Improved NSGA-Ⅱ Algorithm

doi:10.12096/j.2096-4528.pgt.19052

Abstract

Abstract:

With the development of interaction between electricity, natural gas and heat networks, collaborative optimization of integrated energy system has become a new research focus. An improved NSGA-Ⅱ algorithm was proposed to solve the optimization problem of integrated energy system, which contained multiple objectives and nonconvex constraints, a global Pareto set maintenance method was proposed to improve the search efficiency of Pareto-optimal solutions. Dimensional reduction and dynamic adjustment were applied to improve the probability of finding feasible solutions under high-dimension equality constraints. An example was analyzed to prove the validity of the proposed method.

Key words: integrated energy system (IES), improved NSGA-Ⅱ algorithm, genetic algorithm, multi-objective optimal scheduling

CLC Number:

TK01+9

Meng JIANG,Yu HUANG,Weihan LIAO,Jianlian ZHANG,Youwen ZHANG,Chuangxin GUO. Multi-objective Optimization of Electricity-Gas-Heat Integrated Energy System Based on Improved NSGA-Ⅱ Algorithm[J]. Power Generation Technology, 2020, 41(2): 131-136.

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