Multiobjective Sizing Optimization for Combined Heat and Power Microgrids Using a Triangular Evaluation Model and the Self-Adaptive Genetic Algorithm

This paper is focused on solving the sizing optimization problem for the combined heat and power (CHP) microgrid systems. Firstly, multiple optimization objectives are selected in terms of reliability, economy and renewable energy usage to comprehensively assess the system performances. A triangular evaluation model is adopted to combine the chosen objectives and calculate the system fitness. Then, the compulsory constraints are given to ensure the reliable system operation, and the self-adaptive genetic algorithm is developed to implement the optimization process. Finally, a sample system of the CHP microgrid is simulated, which have validated the feasibility of the proposed multiobjective sizing optimization method.