Parameter Optimization of Hydropower Governor for Small System During Black Start

Frequency stability is a main criteria for determining the feasibility of a black start scheme. If the black-start source is a hydropower unit, its "water hammer effect" will have a significant impact on the frequency stability. In order to reduce the impact, the most effective way is to optimize the governor parameters. Based on the characteristics of hydropower units and their governors, the main parameters that affect governor performance are selected out. A multi-scenario model of black-start schemes is built to improve the suitability of parameters. A multi-objective multi-verse optimization algorithm is introduced to optimize the parameters globally. By using the fuzzy entropy method and multi-attribute decision making based on gray relational model, the most satisfactory parameter combination is chosen from the Pareto optimal set. The validity and applicability of the proposed method are verified by the optimization results of a provincial power grid in China.