首页> 外文会议>International Conference on Intelligent Energy and Power Systems >Topological Task of Distributed Generation Placement Using a Pareto optimization
【24h】

Topological Task of Distributed Generation Placement Using a Pareto optimization

机译:使用Pareto优化的分布式发电布局的拓扑任务

获取原文

摘要

It is suggested to use the topological task (TT) for select the placement of distributed generation (DG). A TT can't be solved by methods of functional analysis, because it is a problem with variable parameters. The solution of the TT is suggested to represent in the form of the Pareto-optimal area. Nonlinearity of target functions of the TT of DG placement leads to the expansion of the Pareto-optimal solutions in the direction of the global extremums according to certain criteria. It is shown that TT can be described analytically, provided that the conduction cross sections are unchanged in the domain of admissible solutions. In this case, the polygon of the objective functions extremums sufficiently clearly describes the Pareto set. This situation will be observed with considerable resistance of the power electrical system source both at autonomous feeding of consumers from DG, and at work of DG in parallel with the power system. Changing the cross sections of conductors due to the implementation of technical limitations on emergency modes causes the first-order gap in the target functions. This leads to a significant expansion of the Pareto set. At the same time, the growth of the numerical values of individual criteria on the boundary of the Pareto set can be doubled in comparison with the minimum values. This should be taken into account when making a final decision on the placement of the DG.
机译:建议使用拓扑任务(TT)选择分布式发电(DG)的位置。 TT无法通过功能分析的方法来解决,因为它是可变参数的问题。建议TT的解以帕累托最优区域的形式表示。 DG放置TT的目标函数的非线性导致根据某些准则在全局极值方向上的Pareto最优解的扩展。结果表明,只要传导截面在允许解的范围内不变,就可以用解析方式描述TT。在这种情况下,目标函数极值的多边形足以清楚地描述Pareto集。在来自DG的用户自动供电以及与电源并联的DG的工作中,电力系统电源都会受到相当大的阻力,将观察到这种情况。由于对紧急模式进行技术限制而改变了导体的横截面,从而导致目标功能出现一阶间隙。这导致帕累托集合的显着扩展。同时,与最小值相比,单个标准在Pareto集边界上的数值的增长可以加倍。在对总干事的位置做出最终决定时应考虑到这一点。

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