The Transactions of the Korean Institute of Electrical Engineers P (전기학회논문지P)

The Korean Institute of Electrical Engineers (대한전기학회)
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Design of Fuzzy Logic Controller for Optimal Control of Hybrid Renewable Energy System

하이브리드 신재생에너지 시스템의 최적제어를 위한 퍼지 로직 제어기 설계

  • Jang, Seong-Dae (Dept. of Electrical Engi., Korea National University of Transportation) ;
  • Ji, Pyeong-Shik (Dept. of Electrical Engineering, Korea National University of Transportation)
  • Received : 2018.08.10
  • Accepted : 2018.08.17
  • Published : 2018.09.01
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Abstract

In this paper, the optimal fuzzy logic controller(FLC) for a hybrid renewable energy system(HRES) is proposed. Generally, hybrid renewable energy systems can consist of wind power, solar power, fuel cells and storage devices. The proposed FLC can effectively control the entire HRES by determining the output power of the fuel cell or the absorption power of the electrolyzer. In general, fuzzy logic controllers can be optimized by classical optimization algorithms such as genetic algorithms(GA) or particle swarm optimization(PSO). However, these FLC have a disadvantage in that their performance varies greatly depending on the control parameters of the optimization algorithms. Therefore, we propose a method to optimize the fuzzy logic controller using the teaching-learning based optimization(TLBO) algorithm which does not have the control parameters of the algorithm. The TLBO algorithm is an optimization algorithm that mimics the knowledge transfer mechanism in a class. To verify the performance of the proposed algorithm, we modeled the hybrid system using Matlab Tool and compare and analyze the performance with other classical optimization algorithms. The simulation results show that the proposed method shows better performance than the other methods.

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References

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