Optimization and Stability Research of Control Strategies for Multienergy Complementary AC–DC Hybrid Power Grids

Abstract

The randomness of power grid has been greatly increased as the new energy power proportion increases due to the uncertainty of wind turbine (WT) and photovoltaic (PV) power, posing significant challenges to grid security and economic efficiency. In this paper, the typical‐day WT and PV power outputs were obtained by the Latin hypercube sampling method. A multiobjective dual‐layer optimization model has the goal of reducing network loss and voltage deviation. The Whale Optimization Algorithm (WOA) was employed to solve the model. Based on the optimization results, the dispatch schemes for reactive power compensation devices, energy storage systems, and on‐load voltage regulation devices are formulated to improve system stability and smooth the output fluctuations of new energy sources. Finally, the proposed method is verified in the improved AC/DC hybrid grid based on IEEE 39‐notes system. The results indicated that the method can effectively reduce the network loss and smooth voltage fluctuations. It provides a theoretical basis for the stable and economical of grids with a high proportion of new energy power.