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Reactive Power Compensation of Wind Power Plant using Neuro Fuzzy Controller

Raina Jain *, Reshmita Sharma **, Abhishek Mishra ***

*-** Department of Electrical and Electronics Engineering, SSGI, Bhilai, India.

*** Department of Electronics and Communication Engineering, GGU, Bilaspur, India.

Periodicity:May - July'2020
DOI : https://doi.org/10.26634/jps.8.2.17605

Abstract

Power system consist of generation, transmission, and distribution of power to clients. To meet the increasing demand the power sector has developed improving the quantity of tools, especially costly parts needed for power systems. Power generation and demand should be constantly adjusted to improve the operating effectiveness. The power system has disadvantages such as poor power quality and the significant expense of generation, which face difficulties in meeting the objective of supply of electrical energy. In this paper, a wind power plant model using MATLAB has been taken. When wind turbine is connected to existing power systems, wind turbines can cause a number of issues related to the system stability and power quality. To maintain the output power of system at desired values, an ANFIS system is designed as a controller for the power output of a variable speed wind power generation system. Membership functions are the building block of ANFIS, hence ANFIS has been trained with different membership function and results are obtained. Along with that, in an isolated wind plant, the variation in wind speed synchronous condenser need to increase the VAR generation due to which larger capacity synchronous condenser has to be installed. So ANFIS controller is designed to change the pitch angle so as to maintain the VAR generation of synchronous generator. The adequate result has been obtained, and it is found that the Gaussian type membership function gives the best result at higher wind speed and the variable generation has been controlled.

Keywords

ANFIS, Blade Pitch Angle, Neuro Fuzzy, Membership Functions, Wind Turbine.

How to Cite this Article?

Jain, R., Sharma, R., and Mishra, A. (2020). Reactive Power Compensation of Wind Power Plant using Neuro Fuzzy Controller. i-manager's Journal on Power Systems Engineering, 8(2), 1-15. https://doi.org/10.26634/jps.8.2.17605

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