Optimal economic operation of demand-response microgrids based on hybrid whale optimization algorithm

In order to balance the peak-valley difference of microgrid load demand and reduce the cost of microgrid system, an incentive demand response microgrid optimal economic operation model based on load transfer was proposed. In addition, a hybrid whale optimization algorithm is proposed to solve the economic problem caused by distributed power output coordination in microgrid. Firstly, the nonlinear convergence factor and adaptive probability threshold are set to balance the global search and local development ability of the algorithm. Secondly, adaptive position weight parameters are introduced to improve the convergence speed of the algorithm. Finally, the sine-cosine algorithm is integrated, and the optimization is carried out by sine-cosine intersection to improve the optimization accuracy of the algorithm. The effectiveness and feasibility of the proposed model and algorithm are verified by algorithm test and simulation. The experimental results show that the proposed model can not only achieve the goal of peak cutting and valley filling, but also effectively reduce the cost of microgrid system. The proposed algorithm coordinates the output of each controllable micro-source, and the comparison experiment with other four algorithms verifies the superiority of the proposed algorithm in solving the problem of optimal economic operation of microgrid.