Volume 2 Number 2
December 2005
Article Contents
Jian-Lin Wei, Ji-Hong Wang, Q. H. Wu and Nan Lu. Power System Aggregate Load Area Modelling by Particle Swarm Optimization. International Journal of Automation and Computing, vol. 2, no. 2, pp. 171-178, 2005. doi: 10.1007/s11633-005-0171-5
Cite as: Jian-Lin Wei, Ji-Hong Wang, Q. H. Wu and Nan Lu. Power System Aggregate Load Area Modelling by Particle Swarm Optimization. International Journal of Automation and Computing, vol. 2, no. 2, pp. 171-178, 2005. doi: 10.1007/s11633-005-0171-5

Power System Aggregate Load Area Modelling by Particle Swarm Optimization

  • Received: 2005-07-28
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

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Power System Aggregate Load Area Modelling by Particle Swarm Optimization

Abstract: This paper presents a new approach for deriving a power system aggregate load area model (ALAM). In this approach, an equivalent area load model is derived to represent the load characters for a particular area load of a power system network. The Particle Swarm Optimization (PSO) method is employed to identify the unknown parameters of the generalised system, ALAM, based on the system measurement directly using a one-step scheme. Simulation studies are carried out for an IEEE 14-Bus power system and an IEEE 57-Bus power system. Simulation results show that the ALAM can represent the area load characters accurately under different operational conditions and at different power system states.

Jian-Lin Wei, Ji-Hong Wang, Q. H. Wu and Nan Lu. Power System Aggregate Load Area Modelling by Particle Swarm Optimization. International Journal of Automation and Computing, vol. 2, no. 2, pp. 171-178, 2005. doi: 10.1007/s11633-005-0171-5
Citation: Jian-Lin Wei, Ji-Hong Wang, Q. H. Wu and Nan Lu. Power System Aggregate Load Area Modelling by Particle Swarm Optimization. International Journal of Automation and Computing, vol. 2, no. 2, pp. 171-178, 2005. doi: 10.1007/s11633-005-0171-5
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