Parameter optimization of hydropower governors for improving frequency stability of black start power systems

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 significantly negative impact on the frequency stability. It has been proved that the governor parameter optimization is an effective way to reduce the impact. Therefore, based on the characteristics of hydropower units and their governors, this paper selects out the main governor parameters that affect the frequency stability firstly. A multi-scenario model of black-start schemes is built to improve the suitability of optimized parameters. Then, a multi-objective multi-verse optimization algorithm is employed to optimize the parameters globally and produces the Parcto optimal set. By adopting the fuzzy entropy method and multi-attribute decision making based on gray relational model, the most satisfactory parameter combination is then chosen from the Parcto optimal set. Finally, a provincial power grid in southwest China is taken as an example, the validity and applicability of the method proposed in this paper arc verified.