【摘要】 提出了一种求解电力系统经济调度问题的改进粒子群算法。该算法考虑了机组的爬坡速率、工作死区等多种约束条件,并计及了网损。该算法以粒子群算法为基础,提出了新的修补策略对违反各种约束条件的粒子进行积极的修正,并与罚函数技术相结合,使粒子尽可能地在可行解区域或尽量接近可行解的区域内寻优。由于大大减少了粒子在非可行解区域内寻优的概率,因而有效地提高了算法的精度和速度。仿真算例的结果表明,该算法具有速度快、精度高和收敛性好的特点。更多还原

【Abstract】 A modified particle swarm optimization algorithm is proposed to solve the economic dispatch problems in power systems.Many constraints such as ramp rate limits and prohibited zones are taken into account.The loss is also calculated.Based on PSO algorithm,a new repair strategy is provided to handle the constraints and make sure the particles to satisfy the constraints.Combined with penalty functions,the strategy can guarantee the particles to search in or around the feasible solutions area.The accuracy and speed of the algorithm are improved because the particles will rarely search in the infeasible solutions area.Simulated results show that the algorithm has fast speed,high accuracy and good convergence.更多还原