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.