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首页> 外文期刊>International Journal of Energy Optimization and Engineering: An official publication of the Information Resources Management Association >Security Constrained Optimal Reactive Power Dispatch Using Hybrid Particle Swarm Optimization and Differential Evolution
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Security Constrained Optimal Reactive Power Dispatch Using Hybrid Particle Swarm Optimization and Differential Evolution

机译:使用混合粒子群优化和差分演化,安全约束最佳无功功率调度

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摘要

The optimal operation of a power system in both normal and contingency cases has a significant role in the power system operation. To guarantee a system to operate securely in both cases, the most severed case should be included in the optimal reactive power dispatch (ORPD) problem. The objective of the SCORPD problem is to solve the ORPD problem in both normal and contingency cases so that the total power loss, stability index, or voltage deviation is the system is minimized satisfying all unit and network constraints. In this article, a hybrid particle swarm optimization and differential evolution (HPSO-DE) is proposed to solve this SCORPD problem. The proposed method is a combination of PSO and DE methods to utilize their advantages so that the search ability of the method can be enhanced. The proposed method has been implemented on the IEEE 30-bus system for different objectives with different scenarios. The obtained results have been indicated that the proposed HPSO-DE method can be very effective for dealing with the complex and large-scale SCORPD problem.
机译:在正常和应急情况下的电力系统的最佳操作在电力系统操作中具有重要作用。为了保证系统在这两种情况下安全运行,最严重的情况应包括在最佳无功功率调度(ORPD)问题中。 SCORPD问题的目的是解决正常和应急情况下的ORPD问题,使得总功率损耗,稳定性指数或电压偏差是系统最小化满足所有单元和网络约束。在本文中,提出了一种混合粒子群优化和差分演进(HPSO-DE)来解决这个天蝎座问题。所提出的方法是PSO和DE方法的组合,以利用它们的优点,从而可以提高该方法的搜索能力。该方法已经在IEEE 30-Bus系统上实现了不同的场景的不同目标。已得到的结果表明,提出的HPSO-DE方法对于处理复杂和大规模的天蝎座问题非常有效。

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