Journal of Electrical Engineering and Technology

  • 제7권4호
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  • Pages.501-512
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  • 2012
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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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Optimal Particle Swarm Based Placement and Sizing of Static Synchronous Series Compensator to Maximize Social Welfare

  • Hajforoosh, Somayeh (Dept. of Electrical Engineering Islamic Azad University) ;
  • Nabavi, Seyed M.H. (Dept. of Electrical Engineering Islamic Azad University) ;
  • Masoum, Mohammad A.S. (Dept. of Electrical and Computer Engineering, Curtin University)
  • 투고 : 2011.07.26
  • 심사 : 2012.05.19
  • 발행 : 2012.07.01
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초록

Social welfare maximization in a double-sided auction market is performed by implementing an aggregation-based particle swarm optimization (CAPSO) algorithm for optimal placement and sizing of one Static Synchronous Series Compensator (SSSC) device. Dallied simulation results (without/with line flow constraints and without/with SSSC) are generated to demonstrate the impact of SSSC on the congestion levels of the modified IEEE 14-bus test system. The proposed CAPSO algorithm employs conventional quadratic smooth and augmented quadratic nonsmooth generator cost curves with sine components to improve the accurate of the model by incorporating the valve loading effects. CAPSO also employs quadratic smooth consumer benefit functions. The proposed approach relies on particle swarm optimization to capture the near-optimal GenCos and DisCos, as well as the location and rating of SSSC while the Newton based load flow solution minimizes the mismatch equations. Simulation results of the proposed CAPSO algorithm are compared to solutions obtained by sequential quadratic programming (SQP) and a recently implemented Fuzzy based genetic algorithm (Fuzzy-GA). The main contributions are inclusion of customer benefit in the congestion management objective function, consideration of nonsmooth generator characteristics and the utilization of a coordinated aggregation-based PSO for locating/sizing of SSSC.

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참고문헌

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피인용 문헌

  1. Firefly algorithm for congestion management in deregulated environment vol.19, pp.3, 2016, https://doi.org/10.1016/j.jestch.2016.02.001