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Reactive Power Control of Stand-Alone Hybrid Power System Using Genetic Algorithm and Particle Swarm Optimization

机译:使用遗传算法和粒子群优化的独立混合动力系统无功功率控制

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This paper presents automatic reactive power stabilization of a standalone wind-diesel hybrid power system. Reactive power flow equation is used to formulate a mathematical model of system. The voltage is controlled by evaluating small-signal analysis for a static VAR compensator (SVC) and an IEEE Type-1 excitation system. SVC is used to obtain a healthy voltage profile with minimum voltage oscillations to achieve the changing demand of reactive power required by the induction generator and the load. The amplifier gain of the Type-1 SVC is then optimized by employing optimization technique. A comparative study on usage of two optimization algorithms namely genetic algorithm and particle swarm algorithm is shown.
机译:本文介绍了独立风柴油混合动力系统的自动无功稳定。 无功功率流程方程用于制定系统的数学模型。 通过评估静态VAR补偿器(SVC)和IEEE Type-1激励系统的小信号分析来控制电压。 SVC用于获得具有最小电压振荡的健康电压曲线,以实现感应发生器和负载所需的无功功率的不断变化的需求。 然后通过采用优化技术优化Type-1 SVC的放大器增益。 显示了两种优化算法的使用比较研究,即遗传算法和粒子群算法。

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