基于优化技术的电压稳定管理

Md. Imran Azim, M. Rana, Jawad Tahmeed Bin Taufik
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引用次数: 1

摘要

本文利用静态无功补偿器(SVC)解决了在负荷变化过大的情况下,无功功率的注入问题,从而改善了电力系统的电压分布和电压稳定性。无功功率管理是一个优化问题,可以用进化的高级优化算法来求解。在这种情况下使用了两种众所周知的算法,即线性算法和遗传算法,并且发现遗传算法比线性算法提供更有效的输出,因为它基于生物隐喻,在父母和后代中选择最佳个体。本文认为,0.2 MVAR的无功功率足以满足整个系统的电压补偿和稳定。
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Voltage stability management with the help of optimization techniques
This paper deals with the injection of reactive power, which is vitally important in case of too much load variations, by means of Static VAr Compensator (SVC) so that both, the voltage profile and voltage stability of the power system can be improved. The reactive power management is formulated as an optimization problem that can be solved by the evolutionary advanced optimization algorithms. Two well known algorithms, namely linear algorithm and genetic algorithm are applied in this case and it has been found that the genetic algorithm gives more efficient outputs compared to the linear algorithm as it is based on the biological metaphor, in which best individuals are selected among parents and offspring generation. As far as this paper is concerned, 0.2 MVAR reactive power would be enough for voltage compensation and maintaining stability throughout the system.
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