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首页> 外文期刊>International Journal of Electrical Power & Energy Systems >Swarm intelligence based algorithms for reactive power planning with Flexible AC transmission system devices
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Swarm intelligence based algorithms for reactive power planning with Flexible AC transmission system devices

机译:基于群体智能的算法,用于灵活的交流输电系统设备进行无功功率规划

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摘要

In the proposed work, authors have applied swarm intelligence based algorithms for the effective Co-ordination of Flexible AC transmission system (FACTS) devices with other existing Var sources present in the network. IEEE 30 and IEEE 57 bus systems are taken as standard test systems. SPSO (Simple Particle Swarm Optimization) and other two swarm based intelligence approaches like APSO (Adaptive Particle Swarm Optimization) and EPSO (Evolutionary Particle Swarm Optimization) are used for the optimal setting of the Var sources and FACTS devices. The result obtained with the proposed approach is compared with the result found by the conventional RPP (Reactive power planning) approach where shunt capacitors, transformer tap setting arrangements and reactive generations of generators are used as planning variables. It is observed that reactive power planning with FACTS devices yields much better result in terms of reducing active power loss and total operating cost of the system even considering the investment costs of FACTS devices. (C) 2015 Elsevier Ltd. All rights reserved.
机译:在拟议的工作中,作者将基于群体智能的算法应用于柔性交流传输系统(FACTS)设备与网络中存在的其他现有Var源的有效协调。 IEEE 30和IEEE 57总线系统被视为标准测试系统。 SPSO(简单粒子群优化)和其他两种基于群的智能方法(如APSO(自适应粒子群优化)和EPSO(进化粒子群优化))用于优化Var源和FACTS设备。将通过提议的方法获得的结果与通过常规RPP(无功功率规划)方法获得的结果进行比较,在常规RPP方法中,并联电容器,变压器抽头设置设置和发电机的无功发电被用作规划变量。可以看出,就FACTS设备进行无功功率规划而言,即使考虑FACTS设备的投资成本,在减少系统的有功功率损耗和总运行成本方面也会产生更好的结果。 (C)2015 Elsevier Ltd.保留所有权利。

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