一种利用ABC算法评估最优潮流和SVC性能的新技术

2023 Second International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2023-03-02 DOI:10.1109/ICEARS56392.2023.10085237

N. Kalpana

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引用次数: 0

摘要

本文探讨了利用静态无功补偿器(SVC)求解电力系统最优潮流问题的人工蜂群(ABC)方法。利用ABC，系统可以通过采用SVC装置来降低电力系统的总发电成本;除此之外，它还保持电压稳定性。ABC是受蜜蜂在寻找合适花蜜过程中的浏览行为影响而发展起来的。它是一种新兴的电力系统优化算法。将建议的ABC方法与IEEE 11总线和IEEE 30总线系统上现有的优化算法进行比较，以检验其功能的有效性。结果表明，ABC算法在处理电力系统中的非线性问题方面具有很强的可接受性，在电力系统中得到了广泛的应用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Novel Technique for Evaluating Optimal Power Flow and SVC Performance using the ABC Algorithm

Artificial Bee Colony (ABC) method is explored in this paper to solve optimum power flow (OPF) problems in power systems by using a static VAR compensator (SVC). With the usage of ABC the system can reduces the overall generating cost of a power system by employing SVC devices; in addition to that it also maintains Voltage stability. The ABC is developed which is influenced by honey bees' browsing behavior in the discovery of the appropriate nectars. It is a newly developed optimization algorithm in power systems. The suggested ABC method was compared to existing optimization algorithms on IEEE 11-bus & IEEE 30-bus systems to examine how effectively it functioned. Result shows that to handle nonlinear problems in power systems, ABC can be strongly accepted it is widely used in power systems.

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2023 Second International Conference on Electronics and Renewable Systems (ICEARS)

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