Low-carbon configuration optimization for multi-energy complementary microgrid

In order to reduce carbon emissions in the lifecycle of multi-energy complementary microgrids, this work proposes a low-carbon configuration optimization model based on the characteristics of carbon emissions in the operation of microgrids and renewable energy utilization in the configuration process. Also, genetic algorithm is adopted to solve the configuration problem of microgrids. Simulation results demonstrate that the capacity of renewable energy and energy storage is enhanced with the increase of carbon taxes. Although higher initial investment and recovery period might be caused by carbon taxes, environmental and economic benefits in the lifecycle of microgrids are improved significantly. As a result, the validity and effectiveness of the proposed low-carbon configuration optimization approach are confirmed.