Reduction of Power Quality Issues in Micro-Grid using GA Tuned PI Controller Based DVR
Thaha. H.S1, T. Ruban Deva Prakash2

1Thaha. H. S: Research Scholar, Dept of EEE, Sathyabama University, Chennai.
2Dr. T. Ruban Deva Prakash: Principal & Professor, Department of EEE, Heera College of Engineering and Technology, Nedumangad, Kerala, India.

Manuscript received on 01 August 2019 | Revised Manuscript received on 05 August 2019 | Manuscript published on 30 August 2019 | PP: 4166-4172 | Volume-8 Issue-10, August 2019 | Retrieval Number: J10500881019/2019©BEIESP | DOI: 10.35940/ijitee.J1050.0881019
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Abstract: In the present energy scenario, one of major problems is with Power quality. Power quality came to more relevant, focused, with the addition of suitable equipment, where its behavior is very much important to the power supply quality. Power quality issue is a phenomenon noted as a not usual standard current, frequency or voltage which may results in a failure of sophiscated devices. The main issue focuses at the power swell & sag. In the paper, authors present a novel methodology for the prevention of voltage sag & swell. To rectify this issue, customized power equipments are adopted. Among them, Dynamic Voltage Restorer (DVR), the best as well as right advanced customized power equipment used in power distribution networks. The advantages include reduced price, low size, and its good transient response to the interferences. This work explain the MATLAB results of a Dynamic Voltage Restorer (DVR) modeling and analysis. Here, conventional controller like PI type and GA Tuned PI controller are used for comparison. In the offered method, PI controller parameters using GA Tuned implemented is being replaced by the traditional PI controller in order to develop the performance of the plant. The aim of the controller is made faster than conventional technique based controller. By MATLAB simulation tool, the performance can be studied.
Keywords: DVR, Genetic Algorithm (GA), Solid State Devices, Power Quality

Scope of the Article: Web Algorithms