Optimal Scheduling of Regional Combined Heat and Power System Based on Improved MFO Algorithm

Due to the inflexibility of cogeneration power plants and uncertainty wind production, excess distribution network brings challenges grid operation. This paper introduced an improved moth-flame optimization algorithm meet challenge energy complementary dispatching. The proposed adopts three effective strategies, namely inertia weight, unified initialization, spiral position update strategy, which maintains a strong global search ability potent compromise between local search. effectiveness method was evaluated by benchmark functions. Furthermore, applied combine heat system operation problems economic dispatch in light load unpredictability. In order verify robustness solve complex constraints systems under extreme conditions, different cases had been discussed. experimental findings indicate that shows better performances terms convergence speed, escape from optimum solution, population diversity maintenance complexity conditions engineering problems.