Multi-area interconnected automatic generation control with IPFC and TDOFPID controller

2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN) Pub Date : 2017-11-01 DOI:10.1109/ICRCICN.2017.8234521

D. Mishra, T. Panigrahi, A. Mohanty, P. Ray

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Abstract

Present work introduces a most popular evolution based algorithm and applied in two degree of freedom proportional integral Derivative (TDOFPID) Controller based multi area power system. Differential Evolution (DE) optimization technique is applied here to tune the TDOFPID gains. In each area of system consists of Automatic generation control with addition of non-linarites. In this model time delay, Generation rate constraints (GRC) and reheat turbine is added to make non-linearity. At first attempt simulation is being done in two area with DE optimistion technique. Next attempt a series connected Flexible Alternating Current Transmission (FACT) device such as Interline Power Flow Control (IPFC) is included into the system and simulated. DE is also used to get the optimum value of TDOFPID controller having Integral time absolute error (ITAE) has been the objective function. At last robustness analysis is done with varying parameter and different loading conditions. It is seen that, TDOFPID with IPFC gives better response compared to others.

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多区域互联自动生成控制，采用IPFC和TDOFPID控制器

本文介绍了一种最流行的基于进化的算法，并将其应用于基于二自由度比例积分微分(TDOFPID)控制器的多区域电力系统。本文采用差分进化(DE)优化技术对TDOFPID增益进行调优。在系统的每个区域都包含了非线性的自动生成控制。在模型时滞中，加入了发电速率约束(GRC)和再热轮机，使模型非线性化。首先利用DE优化技术对两个区域进行了模拟。下一步尝试将串联的柔性交流传输(FACT)设备(如线间功率流控制(IPFC))纳入系统并进行仿真。以积分时间绝对误差(ITAE)为目标函数，利用微分方程求出TDOFPID控制器的最优值。最后进行了变参数和不同加载条件下的鲁棒性分析。可以看出，与IPFC相比，TDOFPID具有更好的响应。

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2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN)

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