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Optimal Capacity Configuration Method for CHP Island Microgrid Considering Carbon Emission

A rational system capacity configuration scheme is vital to realize satisfactory performances for integrated energy systems. In this article, an optimal capacity configuration method is proposed for the representative combined heat and power (CHP) island microgrid, which consists of renewable energy generation element, electricity-heat conversion device, electric storage, heat storage, and load. Firstly, three optimization objectives are chosen from the perspectives of cost, renewable utilization and carbon emission. Constraints are supplemented to guarantee reliable electric and heat supply. Accordingly, a radar chart evaluation (RCE) solution is employed to calculate the fitness function and assess overall system performances. As a result, a capacity configuration optimization model is established with a genetic algorithm adopted for optimization implementation. Based on the real data in a remote area of southwest China, a study case of the CHP microgrid is provided to validate the effectiveness of proposed optimal capacity configuration method.