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Issue title: Special Section: Intelligent tools and techniques for signals, machines and automation
Guest editors: Smriti Srivastava, Hasmat Malik and Rajneesh Sharma
Article type: Research Article
Authors: Mishra, Dillip Kumara; * | Panigrahi, Tapas Kumara | Ray, Prakash K.a | Mohanty, Asitb
Affiliations: [a] Department of Electrical Engineering, IIIT, Bhubaneswar, India | [b] Department of Electrical Engineering, CET, Bhubaneswar, India
Correspondence: [*] Corresponding author. Dillip Kumar Mishra, Department of Electrical Engineering, IIIT, Bhubaneswar, India. Tel.: +919437730220; E-mail: dillipkumarmishra4@gmail.com.
Abstract: Present work introduces a most popular evolution based algorithm and application of 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. Each area consists of Automatic generation control with addition of non-linarites. In this model time delay, Generation rate constraints (GRC) and reheat turbine are added to introduce non-linearity. At first attempt simulation is being done in two areas with DE optimization technique. Further a series connected Flexible Alternating Current Transmission (FACT) device such as interline power flow controller (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) as 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.
Keywords: Automatic generation control (AGC), differential evolution (DE), generation rate constraints (GRC), GenCo & DisCo, interline power flow control (IPFC), two degree of freedom proportional integral derivative (TDOFPID)
DOI: 10.3233/JIFS-169777
Journal: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 5, pp. 4933-4943, 2018
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