Particle swarm optimization to solving economic load dispatch with spinning reserve

Xin Ma, Yong Liu
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引用次数: 3

Abstract

A revised strategy 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, and the loss is also calculated. On the basis of strategy particle swarm optimization algorithm, a new revised strategy is provided to handle the constraints and make sure the particles to satisfy the constraints. The strategy can guarantee the particles to search in or around the feasible solutions area combined with penalty functions. The various load demand and various reserve demand by payment for reserve allocated is also discussed in this paper.
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粒子群算法求解旋转储备经济负荷调度
针对电力系统中的经济调度问题,提出了一种改进的策略粒子群优化算法。考虑了斜坡速率限制和禁区等诸多约束条件,并计算了损耗。在策略粒子群优化算法的基础上,提出了一种新的修正策略来处理约束条件,并保证粒子满足约束条件。该策略结合惩罚函数可以保证粒子在可行解区域内或周围搜索。本文还讨论了各种负荷需求和各种储备需求通过支付分配的储备。
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