A Coordinated Optimization Method for Transmission Network Loss Reduction under High Renewable Energy Penetration

With the high penetration of renewable energy, transmission network losses become increasingly prominent. This paper constructs a four-dimensional source-grid-load-storage decomposition model, systematically identifies the types of additional losses caused by renewable energy fluctuations, and proposes a coordinated control strategy integrating energy storage regulation, reactive power optimization, and network topology reconfiguration. To achieve coordinated control across multiple time scales, a two-stage optimization method based on mixed-integer second-order cone programming (MISOCP) and an improved grey wolf optimization algorithm (IGWO) is designed to ensure steady-state economy and dynamic response capability. Simulation results show that the strategy significantly reduces network losses under typical operating scenarios. Economic analysis shows that the scheme provides a favorable return on investment and has potential for wider application. The study verifies the feasibility and effectiveness of multidimensional coordinated control in power grids with high renewable energy penetration.