A distribution network operator can reconfigure the network topology by operating section switches to improve multiple objective functions, that is, the line losses and the lifespan of transformers. In the context of long term network management, the impact of future electricity deregulation should be taken into account. Because the related literature has not addressed the above problems, this paper presents a multicriteria optimization approach for efficient distribution network management under electricity market deregulation. The main contributions of this paper can be summarized as follows: (a) the time-variable (time dependent) and nonconvex issues for the distribution network management are formulated such that the time series variations of the line losses and the transformers mechanical operations are modelled, (b) an electricity consumption model under the deregulation, in which consumers flexibly respond to electricity prices, is taken into account, and (c) from the practical viewpoint, the proposed evolutionary many-objective optimization approach is applied to find approximated Pareto optimal solutions of the nonconvex large-scale problem within practical operating time. It can be seen from the computational experiment that the proposed method enables the network operator to easily identify a better network topology, which adequately meets the multiple requirements of the operator.

中文翻译：

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基于进化多目标优化的电力放松管制下的配电网管理

配电网络运营商可以通过操作部分开关来重新配置网络拓扑，以改善多个目标功能，即线路损耗和变压器的使用寿命。在长期网络管理的背景下，应考虑未来电力管制放松的影响。由于相关文献尚未解决上述问题，因此本文提出了一种在电力市场放松管制下有效配电网管理的多准则优化方法。本文的主要贡献可归纳如下：（a）阐述了配电网络管理的时变（与时间有关）和非凸问题，从而对线损和变压器机械运行的时间序列变化进行建模，（b）考虑了放松管制下的用电量模型，在该模型中，消费者可以灵活地对电价做出响应；并且（c）从实际角度出发，将所提出的进化多目标优化方法用于寻找近似的帕累托最优解实际操作时间内非凸大问题的解决。从计算实验可以看出，所提出的方法使网络运营商能够容易地识别出更好的网络拓扑，充分满足了运营商的多种需求。提出的进化多目标优化方法被用于在实际运行时间内找到非凸大问题的近似帕累托最优解。从计算实验可以看出，所提出的方法使网络运营商能够容易地识别出更好的网络拓扑，充分满足了运营商的多种需求。提出的进化多目标优化方法被用于在实际运行时间内找到非凸大问题的近似帕累托最优解。从计算实验可以看出，所提出的方法使网络运营商能够容易地识别出更好的网络拓扑，充分满足了运营商的多种需求。