电力市场中基于粒子群优化的多区域经济调度

E. Azadani, S. H. Hosseinian, B. Moradzadeh, P. Divshali
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引用次数: 11

摘要

能源和辅助服务的竞争性投标日益被认为是电力市场的重要组成部分。另一方面,应考虑输电容量限制,以优化总市场成本。本文提出了一种基于约束粒子群算法(CPSO)的多产品多区域电力市场调度问题。约束处理基于可行性规则和概率分布。CPSO方法为考虑系统约束的多区域竞争电力市场总成本优化问题提供了一种新的解决方案。通过若干二次和非光滑代价函数的算例验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Economic dispatch in multi-area using particle swarm optimization in electricity market
Competitive bidding for energy and ancillary services is increasingly recognized as an important part of electricity markets. On the other hand, the transmission capacity limits should be considered to optimize the total market cost. In this paper, a new approach based on Constrained Particle Swarm Optimization (CPSO) is developed to address the multi-product and multi-area electricity market dispatch problem. Constraint handling is based on feasibility rules and probability distribution. CPSO method offers a new solution for optimizing the total market cost in a multi-area competitive electricity market considering system constraints. The proposed approach is verified with several cases studies with quadratic and non-smooth cost functions.
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