Unit Commitment Problems in Power Systems With Wind Farms Based on Probability Offset Binary Particle Swarm Optimization Algorithm

摘要

In this paper, an probability offset BPSO (binary particle swarm) method is proposed to solve the unit commitment problems in power systems with wind farms. Firstly, the initial unit commitment is determined by the prioritization method, and according to this result, the range of an optimization window is determined, and the BPSO is used to solve the solution in this range. During each iteration, the heuristic adjustment strategy enables the particles in each generation to meet the constraints. On the issue of economic load distribution, the classical Lagrange multiplication method combined with the dichotomy method is used to solve the problem, which greatly improves the efficiency of the solution. Finally, the results obtained are compared with those obtained by other algorithms, which proves that the proposed method has strong superiority and practicability.