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The control mechanism of energy storage converters is analyzed, and a reactive power optimization model is established, considering energy storage control and DC transmission characteristics. A reactive power optimization method based on energy storage converter. . This study proposes an enhanced particle swarm optimization algorithm designed to overcome the limitations of the traditional particle swarm optimization (PSO) in reactive power optimization, including premature convergence and insufficient search capability. The proposed enhancements enhance. . The new power system effectively integrates a large number of distributed renewable energy sources, such as solar photovoltaic, wind energy, small hydropower, and biomass energy. This significantly reduces the reliance on fossil fuels and enhances the sustainability and environmental friendliness. .