首页|Planning of DC Electric Spring with Particle Swarm Optimization and Elitist Non-dominated Sorting Genetic Algorithm

Planning of DC Electric Spring with Particle Swarm Optimization and Elitist Non-dominated Sorting Genetic Algorithm

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This paper addresses the planning problem of parallel DC electric springs(DCESs).DCES,a demand-side management method,realizes automatic matching of power consumption and power generation by adjusting non-critical load(NCL)and internal storage.It can offer higher power quality to critical load(CL),reduce power imbalance and relieve pressure on energy storage systems(RESs).In this paper,a planning method for parallel DCESs is proposed to maximize stability gain,economic benefits,and penetration of RESs.The planning model is a master optimization with sub-optimization to highlight the priority of objectives.Master optimization is used to improve stability of the network,and sub-optimization aims to improve economic benefit and allowable penetration of RESs.This issue is a multivariable nonlinear mixed integer problem,requiring huge calculations by using common solvers.Therefore,particle Swarm optimization(PSO)and Elitist non-dominated sorting genetic algorithm(NSGA-Ⅱ)were used to solve this model.Considering uncertainty of RESs,this paper verifies effectiveness of the proposed planning method on IEEE 33-bus system based on deterministic scenarios obtained by scenario analysis.

DC distribution networkDC electric springnon-dominated sorting genetic algorithmparticle swarm optimizationrenewable energy source

Qingsong Wang、Siwei Li、Hao Ding、Ming Cheng、Giuseppe Buja

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School of Electrical Engineering and Jiangsu Provincial Key Laboratory of Smart Grid Technology and Equipment,Southeast Univer-sity,Nanjing 210096,China

School of Software Engineering,Southeast university,Suzhou 215123,China

Department of Industrial Engineering,University of Padova,Padova 35100,Italy

国家自然科学基金国家自然科学基金Jiangsu Provincial Key Laboratory of Smart Grid Technology and Equipment,Southeast University,China

5217717151877040

2024

10.17775/CSEEJPES.2022.04510

中国电机工程学会电力与能源系统学报(英文版)
中国电机工程学会

中国电机工程学会电力与能源系统学报(英文版)

CSTPCDEI
ISSN：2096-0042
年,卷(期)：2024.10(2)
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