Journal of Electrical Engineering and Technology

  • 제13권2호
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  • Pages.659-668
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  • 2018
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  • 1975-0102(pISSN)
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  • 2093-7423(eISSN)
대한전기학회 (The Korean Institute of Electrical Engineers)
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Techno-Economic Optimization of a Grid-Connected Hybrid Energy System Considering Voltage Fluctuation

  • Saib, Samia (Laboratory of Automatics, Dept. of Electrical Engineering, Ferhat Abbas Setif1 University) ;
  • Gherbi, Ahmed (Laboratory of Automatics, Dept. of Electrical Engineering, Ferhat Abbas Setif1 University) ;
  • Kaabeche, Abdelhamid (Renewable Energy Development Center) ;
  • Bayindir, Ramazan (Department of Electrical and Electronics Engineering, Gazi University)
  • 투고 : 2016.12.01
  • 심사 : 2017.12.31
  • 발행 : 2018.03.01
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초록

This paper proposes an optimization approach of a grid-connected photovoltaic and wind hybrid energy system including energy storage considering voltage fluctuation in the electricity grid. A techno-economic analysis is carried out in order to minimize the size of hybrid system by considering the benefit-cost. Lithium-ion battery type is used for both managing the electricity selling to the grid and reducing voltage fluctuation. A new technique is developed to limit the voltage perturbation caused by the solar irradiance and the wind speed through determining the state-of-charge of battery for every hour of a day. Improved particle swarm optimization (PSO) methods, referred to as FC-VACPSO which combines Fast Convergence Particle Swarm Optimization (FCPSO) method and Variable Acceleration Coefficient Based Particle Swarm Optimization (VACPSO) method are used to solve the optimization problem. A comparative study has been performed between standard PSO method and PSO based methods to extract the best size with the benefit cost. A sensitivity analysis has been studied for different kinds and costs of batteries, by considering variable and constant state-ofcharge of battery. The simulations, performed under Matlab environment, yield good results using the FC-VACPSO method regarding the convergence and the benefit cost of the hybrid system.

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