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首页> 外文期刊>Automation Science and Engineering, IEEE Transactions on >Swarm Intelligence Approaches to Optimal Power Flow Problem With Distributed Generator Failures in Power Networks
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Swarm Intelligence Approaches to Optimal Power Flow Problem With Distributed Generator Failures in Power Networks

机译：电力网络中分布式发电机故障的最优潮流算法的群体智能方法

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摘要

Distributed generation becomes more and more important in modern power systems. However, the increasing use of distributed generators causes the concerns on the increasing system risk due to their likely failure or uncontrollable power outputs based on such renewable energy sources as wind and the sun. This work for the first time formulates an optimal power flow problem by considering controllable and uncontrollable distributed generators in power networks. The problem for the cases of single and multiple generator failures is addressed as an example. The methods are presented to find its power output solution of controllable online generators via particle swarm optimization and group search optimizer for coping with the difficult scenarios in a power network. The proposed methods are tested on an IEEE 14-bus system, and several population initialization strategies are investigated and compared for the algorithms. The simulation results confirm their effectiveness for optimal power management and effective control of a power network.
机译：在现代电力系统中，分布式发电变得越来越重要。然而，由于基于风力和太阳等可再生能源的分布式发电机的可能故障或不可控制的功率输出，分布式发电机的日益使用引起了对系统风险增加的担忧。这项工作首次通过考虑电网中可控和不可控的分布式发电机来制定最优潮流问题。以单个和多个发电机故障情况为例。提出了通过粒子群优化和群搜索优化器找到可控在线发电机功率输出解决方案的方法，以应对电网中的困难情况。在IEEE 14总线系统上对提出的方法进行了测试，并对算法的几种种群初始化策略进行了研究和比较。仿真结果证实了它们对于优化电源管理和有效控制电网的有效性。

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