Control optimisation for pumped storage unit in micro‐grid with wind power penetration using improved grey wolf optimiser

Abstract

As the large‐scale wind power penetration and distributed generation become popular in modern power systems, the governing control of pumped storage unit has attracted many attentions in recent years for its flexible power adjustment capability. To provide a research platform for dynamic analysis of the hybrid power system, a micro‐grid mainly including a pumped storage unit and a wind power plant is introduced in detail and taken as the system plant. Refined mathematical models of pump turbine, synchronous generator and wind turbine generator have been established considering the complicated non‐linear dynamic characteristics of the multi‐energy power system. Furthermore, a novel chaotic grey wolf optimiser algorithm is proposed to select the optimal control parameters of the pump turbine governing system for the sake of maintaining frequency stability and enhancing control performances under the complicated operating conditions. Simulation experiments have been conducted in the micro‐grid under representative operating conditions to validate the effectiveness of the proposed control method and its preponderance in comparison with traditional ones.