A two-stage optimal scheduling method for active distribution networks considering uncertainty risk

被引:33
|
作者
Ma, Hengrui [1 ]
Liu, Zhe [2 ]
Li, Min [3 ]
Wang, Bo [4 ]
Si, Yang [1 ]
Yang, Yan [1 ]
Mohamed, Mohamed A. [5 ,6 ]
机构
[1] Qinghai Univ, Tus Inst Renewable Energy, Xining, Qinghai, Peoples R China
[2] Guangxi Power Grid Co Ltd, Nanning, Guangxi, Peoples R China
[3] Wuhan Text Univ, Sch Math & Comp, Wuhan, Hubei, Peoples R China
[4] Wuhan Univ, Sch Elect Engn & Automat, Wuhan, Hubei, Peoples R China
[5] Minia Univ, Fac Engn, Elect Engn Dept, Al Minya 61519, Egypt
[6] Fuzhou Univ, Dept Elect Engn, Fuzhou 350116, Peoples R China
基金
中国国家自然科学基金;
关键词
Two-stage optimal scheduling model; Distributed energy; Uncertainty risk; Active distribution network; PSO algorithm; MANAGEMENT;
D O I
10.1016/j.egyr.2021.07.023
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The uncertainty of distributed energy generation and the uncertainty risk of system components failure are important means to ameliorate the economy and reliability of Active Distribution Network (ADN). In this paper, a two-stage optimal scheduling method for ADN considering uncertainty risk is proposed. Considering the uncertainty risk of renewable resources, load and electricity price, and the uncertainty risk of system component failure, the two-stage optimal dispatching process of ADN with energy storage system is investigated. Firstly, the first stage model is established to minimize the cost of operation of ADN under normal operation conditions, and then the second stage model is established to minimize the load reduction under emergency operation. Particle Swarm Optimization (PSO) algorithm is proposed for model optimization. The simulation outcomes on IEEE-33 bus system simulation demonstrated high effectiveness of the proposed method. (C) 2021 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:4633 / 4641
页数:9
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