Research on Optimal Operation of Cascade Hydropower Station Based on Improved Biogeography-Based Optimization Algorithm

Cascade hydropower station can comprehensively develop hydropower resources of river basin and realize the full use of clean energy, its optimal operation is a dynamic nonlinear multi-objective optimization problem with complex constraints. Biogeography-based optimization (BBO) algorithm is a new evolutionary algorithm based on biogeography. In this paper, dynamic non-uniform mutation operator and mutation strategy of differential evolution algorithm are introduced to improve migration operator and mutation operator of BBO algorithm, which enhance exploration ability of the algorithm and accelerate convergence speed of the algorithm. Improved BBO algorithm is used to solve the multi -objective optimization model of cascade hydropower station, and the optimal solution of the problem is obtained after several times of migration and mutation operation. Taking the optimal operation of a two-stage cascade hydropower station as an example, the feasibility and effectiveness of the proposed model and improved BBO algorithm are verified.