Study and Analysis of LFC with Wind Plant in two Area Power System Through Fuzzy Inference Technique
K. Harinadha Reddy
Dr. K. Harinadha Reddy, Professor, Department of EEE, L B R College of Engineering Autonomous, Mylavram, Krishna (A.P), India.
Manuscript received on 10 December 2014 | Revised Manuscript received on 20 December 2014 | Manuscript Published on 30 December 2014 | PP: 124-133 | Volume-4 Issue-7, December 2014 | Retrieval Number: G1936124714/14©BEIESP
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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 proposed work is mainly about the study and analysis of load frequency control (LFC) of two area power system consisting thermal power plant and wind power plant. Output of wind plant connected in interconnected power system is regulated with help of Fuzzy Inference Technique. Three Adaptive Neuro-Fuzzy Inference System (ANFIS) controllers are used in proposed work. Gain of speed regulation is controlled by first ANFIS. Two Adaptive Neuro-Fuzzy Inference System’s are used to obtain control over the wind and thermal power plant gains. Inputs for FLC are obtained from change in frequency and derivative of change in frequency of interconnected power system. Fuzzy logic Controller (FLC) inputs are properly and carefully taken for obtaining control vector from defuzzified output of FLC. The output of self tuned FLC with all ANFIS’s in two plants are shown their performance under test conditions.
Keywords: Load Frequency Control, Interconnected Power System, Wind Power Plant, Fuzzy Logic Controller and Adaptive Neuro-Fuzzy Inference System.
Scope of the Article: Fuzzy Logics