Transient stability constrained optimal power flow using particle swarm optimisation

Author(s): N. Mo ; Z.Y. Zou ; K.W. Chan ; T.Y.G. Pong
DOI: 10.1049/iet-gtd:20060273

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Author(s): N. Mo ¹ ; Z.Y. Zou ¹ ; K.W. Chan ¹ ; T.Y.G. Pong ²
- Affiliations: 1: Department of Electrical Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, People's Republic of China
  2: Department of Applied Mathematics, The Hong Kong Polytechnic University, Hong Kong SAR, People's Republic of China
Source: Volume 1, Issue 3, May 2007, p. 476 – 483
DOI: 10.1049/iet-gtd:20060273 , Print ISSN 1751-8687, Online ISSN 1751-8695

A novel approach based on the particle swarm optimisation (PSO) technique is proposed for the transient-stability constrained optimal power flow (TSCOPF) problem. Optimal power flow (OPF) with transient-stability constraints considered is formulated as an extended OPF with additional rotor angle inequality constraints. For this nonlinear optimisation problem, the objective function is defined as minimising the total fuel cost of the system. The proposed PSO-based approach is demonstrated and compared with conventional OPF as well as a genetic algorithm based counterpart on the IEEE 30-bus system. Furthermore, the effectiveness of the PSO-based TSCOPF in handling multiple contingencies is illustrated using the New England 39-bus system. Test results show that the proposed approach is capable of obtaining higher quality solutions efficiently in the TSCOPF problem.

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Transient stability constrained optimal power flow using particle swarm optimisation

Transient stability constrained optimal power flow using particle swarm optimisation

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