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Multiarea automatic generation control using model predictive based control in deregulated environment

机译:放松环境下基于模型预测的多区域自动发电控制

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In power system operation and control, automatic generation control (AGC) scheme is used to maintain the balance in between the net generation and the total load in a system by supplying sufficient power with good quality. Controller plays an important role in AGC scheme. This paper presents a control scheme based on model predictive control (MPC) concept for multiarea power system in deregulated scenario. For guaranteed stability each area controller is designed independently. MPC controller is designed in such a way that for any load perturbation, generators can regulate the real power output to settle down deviations in frequency and tie line power exchange at desired values. The proposed MPC control scheme has been implemented for deregulated two area thermal power system. The performance of MPC controller is also checked for 75 bus Indian power system. Various load conditions has been considered to evaluate the performance of controller. The results and performance analysis are presented to justify the robustness & effectiveness of control scheme. The comparative performance analysis of MPC scheme and conventional proportional integral controller (PID) control is also presented.
机译:在电力系统的运行和控制中,自动发电控制(AGC)方案用于通过提供足够的优质电力来维持系统的净发电量与总负荷之间的平衡。控制器在AGC方案中起着重要作用。本文提出了一种基于模型预测控制(MPC)概念的多区域电力系统在管制解除情况下的控制方案。为了确保稳定性,每个区域控制器都是独立设计的。 MPC控制器的设计方式是,对于任何负载扰动,发电机都可以调节有功功率输出,以降低频率偏差并使线路功率交换达到所需值。拟议的MPC控制方案已用于已放松管制的两区火力发电系统。还检查了75总线印度电力系统的MPC控制器的性能。已经考虑了各种负载条件来评估控制器的性能。给出结果和性能分析以证明控制方案的鲁棒性和有效性。还给出了MPC方案与常规比例积分控制器(PID)控制的比较性能分析。

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