Topological Task of Distributed Generation Placement Using a Pareto optimization

V. Bodunov, Tetiana Kulko, Anatoliy Prystupa, A. Gai
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引用次数: 6

Abstract

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.
基于Pareto优化的分布式发电布局拓扑任务
建议使用拓扑任务(TT)来选择分布式发电(DG)的位置。TT不能用泛函分析的方法来解决,因为它是一个具有可变参数的问题。建议用帕累托最优面积的形式来表示TT的解。DG布置的目标函数的非线性导致pareto最优解按一定准则在全局极值方向展开。结果表明,在允许解的范围内,当传导截面不变时,可以用解析的方法来描述TT。在这种情况下,目标函数极值的多边形充分清晰地描述了帕累托集。这种情况将在电力系统电源的相当大的阻力中观察到,无论是在消费者从DG自主馈电时,还是在DG与电力系统并行工作时。由于对应急模式实施技术限制而改变导体的横截面会导致目标函数的一阶间隙。这导致了帕累托集的显著扩展。同时,与最小值相比,Pareto集边界上单个准则数值的增长可以增加一倍。在就总干事的职位安排作出最后决定时,应考虑到这一点。
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