Abstract

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.

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