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Transient stability constrained optimal power flow using particle swarm optimisation

机译:使用粒子群算法的暂态稳定约束了最优潮流

摘要

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.
机译:针对瞬态稳定约束最优潮流(TSCOPF)问题,提出了一种基于粒子群优化(PSO)技术的新方法。考虑了瞬态稳定性约束的最优潮流(OPF)被公式化为带有附加转子角不等式约束的扩展OPF。对于此非线性优化问题,目标函数定义为最小化系统的总燃料成本。演示了所提出的基于PSO的方法,并将其与传统的OPF以及基于IEEE 30总线系统的遗传算法进行了比较。此外,使用新英格兰39总线系统说明了基于PSO的TSCOPF在处理多种突发事件中的有效性。测试结果表明,所提出的方法能够有效地解决TSCOPF问题中的高质量解决方案。

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