Meta-Heuristic Algorithm Optimized Fuzzy PID Controlled AGC of Three Area Power System
B. Arun1, B. V. Manikandan2, K. Premkumar3
1Arun B., Assistant Professor, Department of Electrical and Electronics Engineering, R. V. S College of Engineering, Tamil nadu, India.
2Manikandan B. V., Senior Professor, Department of Electrical and Electronics Engineering, Mepco Schlenk Engineering College, Tamil nadu, India.
3Premkumar K., Associate Professor, Department of Electrical and Electronics Engineering, Rajalakshmi Engineering College, Tamil nadu, India.
Manuscript received on November 22, 2019. | Revised Manuscript received on December 15, 2019. | Manuscript published on December 30, 2019. | PP: 2493-2499 | Volume-9 Issue-2, December, 2019. | Retrieval Number: B4026129219/2019©BEIESP | DOI: 10.35940/ijeat.B4026.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The problem of automatic generation control (AGC) is a major concern in power utilities; it plays a major role of the complicated structure and dimension of the multi-area systems. Automatic Generation Control’s main intention in the multi-area system is to maintain the frequency of each control area and remain the tie-line power flows within the many defined tolerance limits by modifying the Automatic Generation Control generators’ actual power outputs to accommodate the changing load requirements. Frequency control is accomplished through the primary control mechanism or the governor control mechanism. But the Area Control Error (ACE) always present in the system. The secondary controllers are surmounting this ACE to zero. The design tunes the controllers to enhance the better dynamic performance and stability of these eccentric conditions. The goal of this work is to diminish area control error, settle time, under-shoots and over-shoots of frequency divergence and net interchange tie-line error. Generally the gain values of the PID Control parameters obtain by tribulation and error technique and it need additional computation time. To reduce this obscurity of tuning of PID gains Evolutionary algorithm approach can be habituated to optimize the PID gains. Fuzzy – PID have been employed with different objective to enhance the efficient optimal solutions to the three area system. In this proposed study, GWO technique used to maximize Fuzzy-based PID controller’s Proportional, Integral and Derivative gains in Three Area System.
Keywords: Area Control Error (ACE), Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Grey Wolf Optimization (GWO).