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Optimal Power Flow Controller for a Hybrid Renewable Energy System Using Particle Swarm Optimization

Publication Type : Conference Proceedings

Publisher : IEEE

Source : 2019 National Power Electronics Conference (NPEC). IEEE, Tiruchirappalli, India, 2019

Url : https://ieeexplore.ieee.org/document/9034782

Campus : Bengaluru

School : School of Engineering

Department : Electrical and Electronics

Year : 2019

Abstract : An optimized power flow controller for a hybrid renewable energy system (HRES) connected to utility grid is presented. The main objective is to regulate the flow of real and reactive power to the load and, to utilize maximum available power from HRES. Two control loops, current and power control are designed using conventional PI regulators. Due to the random nature of renewable energy sources, an intelligent algorithm is required to regulate the constants of PI controllers. The parameters of PI regulators are optimally tuned employing Particle swarm optimization algorithm (PSO). The unique feature of search process is it happens over a set of variable input parameters. The optimum value obtained is valid for the given set of input parameters. The set of input parameters are usually the most frequently occurred values of solar irradiation and wind velocity in that region. This process nullifies the requirement of an online search algorithm. The validity of the proposed method can be verified from the simulation results.

Cite this Research Publication : S. C. and Dr. J. Ramprabhakar, “Optimal Power Flow Controller for a Hybrid Renewable Energy System Using Particle Swarm Optimization”, 2019 National Power Electronics Conference (NPEC). IEEE, Tiruchirappalli, India, 2019.

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