Open AccessDecision‐making optimization of power system extended black‐start coordinating unit restoration with load restoration
Author(s) -
Wang Dajiang,
Gu Xueping,
Zhou Guangqi,
Li Shaoyan,
Liang Haiping
Publication year - 2017
Publication title -
international transactions on electrical energy systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.428
H-Index - 42
ISSN - 2050-7038
DOI - 10.1002/etep.2367
Subject(s) - electric power system , transient (computer programming) , lexicographical order , power (physics) , engineering , multi objective optimization , computer science , optimization problem , mathematical optimization , unit (ring theory) , reliability engineering , control theory (sociology) , mathematics , artificial intelligence , physics , mathematics education , quantum mechanics , control (management) , combinatorics , operating system
Summary The extended black‐start strategy is new exploration for black‐start restoration of power systems, in which more than one non–black‐start unit can be restored simultaneously during the black‐start stage. This paper presents a multiobjective optimization method coordinating unit restarting with load restoration for extended black‐start decision making. The objective functions of the black‐start restoration optimization are defined as restoring non–black‐start units and unserved loads as much as possible under steady‐state and transient system operation constraints. A hybrid algorithm combining the lexicographic method with the improved bacterial foraging algorithm is used to solve the defined optimization model. The proposed method has been tested on the IEEE 118‐bus system and the southern Hebei power system of China, and the test results verify the effectiveness of the proposed decision‐making method.