An Optimization Algorithm for Power Supply of Clean Energy Heating Under High Penetration Renewable Energy

The extensive implementation of clean energy heating across various regions has significantly enhanced the utilization of renewable energy while effectively mitigating pollution and carbon emissions. However, the discrepancies in daily characteristics between renewable energy sources and heating load present new challenges for grid operation. Traditionally, relying solely on the construction of power plants and energy storage batteries at the generation side to satisfy heating load has resulted in diminishing economic returns. This paper introduces an optimization algorithm designed to integrate renewable energy, power-side energy storage systems, and user-side thermal storage tanks to deliver an efficient power supply solution for clean energy heating in a city. The algorithm considers the economic performance, grid constraints, and characteristics of renewable energy. The simulation results indicate that the proposed optimization algorithm is effective.