...
首页> 外文期刊>International journal of electrical power and energy systems >Optimal reactive power flow of power systems with two-terminal HVDC and multi distributed generations using backtracking search algorithm
【24h】

Optimal reactive power flow of power systems with two-terminal HVDC and multi distributed generations using backtracking search algorithm

机译:具有双端HVDC和多分布代使用反向触发搜索算法的电力系统的最佳功率流量

获取原文
获取原文并翻译 | 示例

摘要

This paper deals with optimal reactive power flow (ORPF) of power systems with two-terminal high voltage direct current (HVDC) and multi distributed generations (DGs) using backtracking search algorithm (BSA). For the first time with this study, the power system is modeled closest to the real world and the power loss of both test systems are minimized by BSA, while DGs and HVDC links are existing simultaneously in the power systems. Although simulations on modified IEEE 30-bus and modified IEEE 57-bus test systems have given successful results by using BSA, genetic algorithm (GA) was also used to compare the outcomes of different algorithms. This study was performed for five and three different cases of the modified 30-bus and modified 57-bus test systems, respectively. The obtained results show that although the power loss does not vary much according to the connection points of HVDC link, the optimal replacement of the DGs to the power system reduces the power loss considerably. In addition to this, when the obtained results are compared with those in the literature, it is seen that the proposed algorithm is better than the other algorithms in terms of performance and effectiveness.
机译:本文用反向触发搜索算法(BSA)涉及具有双端子高压直流直流电流(HVDC)和多分布代(DGS)的功率系统的最佳功率流量(ORPF)。在本研究中首次,电力系统最接近现实世界建模,并通过BSA最小化两个测试系统的功率损失,而DGS和HVDC链路在电力系统中同时存在。虽然通过使用BSA进行了改进的IEEE 30-BUE和修改的IEEE 57总线测试系统的模拟,但是使用BSA的遗传算法(GA)还用于比较不同算法的结果。该研究分别对改进的30柱和修改的57总线测试系统的五个和三种不同的情况进行了5个不同的情况。获得的结果表明,尽管根据HVDC链路的连接点的功率损耗没有大量变化,但是DGS对电力系统的最佳替代情况会显着降低功率损耗。除此之外,当与文献中获得的结果进行比较时,可以看出,在性能和有效性方面,所提出的算法优于其他算法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号