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Optimal allocation of spinning reserve in a restructured power system using particle swarm optimization

Hajian Hoseinabadi, H ; Sharif University of Technology | 2008

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  1. Type of Document: Article
  2. DOI: 10.1109/CCECE.2008.4564592
  3. Publisher: 2008
  4. Abstract:
  5. A reasonable amount of spinning reserve is essential to satisfy system security constraints when the power system encounters a contingency. Most ofthe methods previously developed for spinning reserve assessment ignore the probabilistic aspects of system components. This paper presents the design of a market for energy and spinning reserve services. This dispatching method has been developed to minimize the cost associated with theses services while maintaining the system security. Particle swarm optimization (PSO) is used for determining the global optimal solution for this dispatch problem. The effectiveness of the proposed approach is examined by application to the IEEE Reliability Test System (RTS). The results obtained with the proposed approach are presented and compared with those of Genetic Algorithms (GA). © 2008 IEEE
  6. Keywords:
  7. Electric power systems ; Electric power transmission networks ; Genetic algorithms ; Global optimization ; Optimization ; Power transmission ; Probabilistic logics ; Technology ; Capacity outage probability table (COPT) ; Customer interruption cost (CIC) ; Dispatch problems ; Electrical and computer engineering ; Expected energy not supplied(EENS) ; Genetic algorithms (GA) ; Global optimal solutions ; IEEE-reliability test system ; Optimal allocation ; Particle Swarm optimizations ; Particle-swarm optimization ; Power systems ; Probabilistic aspects ; Probabilistic reserve assessment ; Ramp rate ; Restructured power systems ; Spinning reserve ; System components ; System security ; Value of lost load(VOLL) ; Particle swarm optimization (PSO)
  8. Source: IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2008, Niagara Falls, ON, 4 May 2008 through 7 May 2008 ; 2008 , Pages 535-540 ; 08407789 (ISSN) ; 9781424416431 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/4564592