Open AccessOptimal recovery strategy of DERs integrated distribution network based on scheduling rationality
Author(s) -
Wang Jun,
Zheng Xiaodong,
Tai Nengling,
Liu Yu,
Yang Zengli,
Wang Jing,
Tu Qi
Publication year - 2020
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
eISSN - 1752-1424
pISSN - 1752-1416
DOI - 10.1049/iet-rpg.2020.0528
Subject(s) - computer science , mathematical optimization , scheduling (production processes) , distributed generation , schedule , rationality , genetic algorithm , distributed computing , engineering , mathematics , renewable energy , electrical engineering , law , political science , operating system
In order to better schedule distributed energy resources (DERs) to improve the recovery ability of the distribution network, the optimal recovery strategy is proposed in this study. The strategy can be applied to speed up the recovery process and reduce the power shortage of shedding loads in the distribution network when a power outage occurs. The scheduling coefficient is defined to quantify the rationality of each scheduling resource. Based on this index, this study establishes an optimal scheduling model, which consists of three objectives. The non‐dominated sorting genetic algorithm‐II is applied to search this multi‐objective optimal recovery solution in this study. Then, the modified IEEE 39‐node system is used as the case study to verify the feasibility of the proposed model and the test results prove the effectiveness and efficiency of the proposed model.