首页> 外文期刊>Energy >Modified JAYA algorithm for optimal power flow incorporating renewable energy sources considering the cost, emission, power loss and voltage profile improvement
【24h】

Modified JAYA algorithm for optimal power flow incorporating renewable energy sources considering the cost, emission, power loss and voltage profile improvement

机译:考虑到成本,排放,功率损耗和电压曲线改善的改进JAYA算法,以结合可再生能源的最优潮流

获取原文
获取原文并翻译 | 示例
       

摘要

This paper presents a new version of JAYA algorithm to solve the problem of optimal power flow (OPF) incorporating renewable energy sources (RES) with four different objective functions that reflect fuel cost minimization, emission minimization, transmission power loss minimization, and voltage profile improvement. The proposed modified JAYA (MJAYA) algorithm can be derived by modifying the equation that used to update the solutions based on best and worst solutions. The formulation of the OPF problem incorporating RES with four different objective functions is introduced in this paper. Then, the proposed MJAYA is employed to solve this problem by converting it into a single objective function using price and weighting parameters. In addition, the scalability of the proposed MJAYA is tested. To prove the effectiveness of the proposed MJAYA algorithm, it is applied to two different test systems (IEEE 30-bus system and IEEE 118-bus system). The obtained results of different scenarios using the proposed MJAYA algorithm are compared with those obtained using other published methods in the literature. The comparisons with other published methods show the superiority of the proposed MJAYA algorithm over other methods with different complexities. (C) 2019 Elsevier Ltd. All rights reserved.
机译:本文提出了一种新版本的JAYA算法,以解决包含可再生能源(RES)的最佳潮流(OPF)问题,该可再生能源具有四个不同的目标函数,这些目标函数反映了燃料成本最小化,排放最小化,传输功率损耗最小化和电压分布改善。可以通过基于最佳和最差解来修改用于更新解的方程来推导提出的改进JAYA(MJAYA)算法。本文介绍了将RES与四个不同目标函数相结合的OPF问题的公式。然后,使用建议的MJAYA通过使用价格和加权参数将其转换为单个目标函数来解决此问题。此外,还对所提出的MJAYA的可伸缩性进行了测试。为了证明所提出的MJAYA算法的有效性,将其应用于两个不同的测试系统(IEEE 30总线系统和IEEE 118总线系统)。将使用拟议的MJAYA算法在不同情况下获得的结果与文献中使用其他已公开方法获得的结果进行比较。与其他已发布方法的比较表明,所提出的MJAYA算法优于具有不同复杂度的其他方法。 (C)2019 Elsevier Ltd.保留所有权利。

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