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AGC of multi-area ST — thermal — hydro system incorporating redox flow batteries

机译:包含氧化还原液流电池的多区域ST —热力—水力系统的AGC

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摘要

In present article, the impact of redox flow batteries (RFB) in suppressing the oscillations of three unequal area system including solar thermal system in area1 is presented. Various classical controllers namely integral (I), proportionalintegral (PI) and proportional-integral-derivative (PID) are applied as supplementary controllers independently. The nature inspired optimization method named moth-flame optimization (MFO) technique is applied to optimize the various parameters of I, PI and PID controllers. Studies explores that PID controller provides improved dynamic responses than others in settling time and cost function value. Simulation analysis reveals the effectiveness of MFO over genetic algorithm and particle swarm optimization techniques. Further, it is seen that PID controller in presence of RFB units effectively minimizes the oscillations against both step load and random perturbations. Sensitivity analysis shows that PID controller parameters found at nominal conditions are insensitive to wide changes in governor and turbine time constants of thermal units.
机译:在本文中,提出了氧化还原液流电池(RFB)在抑制区域1中三个不等面积的系统(包括太阳能热系统)的振荡方面的影响。各种经典控制器,即积分(I),比例积分(PI)和比例积分微分(PID),分别用作辅助控制器。自然启发式优化方法,称为飞蛾优化(MFO)技术,用于优化I,PI和PID控制器的各种参数。研究发现,PID控制器在建立时间和成本函数值方面提供了比其他控制器更高的动态响应。仿真分析表明,MFO优于遗传算法和粒子群优化技术。此外,可以看出存在RFB单元的PID控制器有效地减小了针对阶跃负载和随机扰动的振荡。敏感性分析表明,在标称条件下找到的PID控制器参数对热力单元的调速器和涡轮时间常数的广泛变化不敏感。

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