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Stability enhancement of hybrid power systems using RFB based on Craziness PSO

机译:基于疯狂PSO的RFB使用RFB的混合动力系统的稳定性增强

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This paper proposed the application of Craziness Particle Swarm Optimization (CRPSO) to tune Redox Flow Batteries (RFB) parameter to enhance the small signal stability of autonomous hybrid power system. This hybrid power system consists of wind power system and diesel power system. To analyze the small signal stability of autonomous hybrid power system, linear model of the system is used. Eigenvalue and time domain simulation is used to see the dynamic behavior of the conventional system, system with RFB and system with RFB tune by CRPSO. From simulation result, it is found that autonomous hybrid power systems that utilize with RFB and tune by CRPSO have a better result regarding small signal stability.
机译:本文提出了疯狂粒子群优化(CRPSO)来调谐氧化还原流电池(RFB)参数来提高自主混合动力系统的小信号稳定性。该混合动力系统由风电系统和柴油电力系统组成。为了分析自主混合动力系统的小信号稳定性,使用系统的线性模型。特征值和时域模拟用于了解传统系统的动态行为,具有RFB和系统的RFB和系统的系统。从仿真结果中,发现使用RFB和CRPSO调谐的自主混合动力系统具有更好的效果,关于小信号稳定性。

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