粒子群优化算法在光伏应用中的评价

E. Malarvizhi, J. Kamala, A. Sivasubramanian
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引用次数: 3

摘要

太阳能是世界能源消费的主要来源。它是满足日益增长的能源需求和解决环境问题的潜在候选者。为了获得系统的最大功率,实现了最大功率点跟踪(MPPT)方法。从可用的太阳能中获取MP是非常必要的。多年来,许多MPPT方法已被开发并在文献中提出。讨论了粒子群优化(PSO)算法在基于MPPT的太阳能发电系统中的评价。它描述了在光伏(PV)电力系统中从太阳能阵列中提取最大功率所采用的不同方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of particle swarm optimization algorithm in photovoltaic applications
Solar energy is the prime source of consumption for the world. It is the potential candidate for meeting the growing energy demand and solving environmental issues. To derive the maximum Power (MP) from the system, Maximum Power Point Tracking (MPPT) methods are implemented. It is highly essential to derive MP from the available solar energy. Over the years, numerous MPPT methods have been developed and presented in the literature. This paper discusses the evaluation of Particle Swarm Optimization (PSO) algorithm in MPPT based solar power generation systems. It describes the different methodologies adopted to extract the maximum power from the solar array in photovoltaic (PV) power systems.
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