Optimal Location and Sizing of Multiple DGs to Improve Resiliency of Power System after an HILF event

2021 9th IEEE International Conference on Power Systems (ICPS) Pub Date : 2021-12-16 DOI:10.1109/ICPS52420.2021.9670218

Harsh Pachauri, A. Uniyal, S. Sarangi

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Abstract

Several extreme weather disasters have demonstrated that grid resilience is a significant aspect of modern power systems to work upon. In event of grid failure, back up power sources must support the network. Thus, optimal planning of distributed generations (DGs) in power distribution networks need to be done so that in addition to grid power support, ancilliary services such as minimized real power losses and voltage deviations are attained. In the present work, combined resilience evaluation and analytic operational enhancement strategy has been studied in a radial power distribution network. To achieve overall minimal power losses and better voltage control, the Marine Predator (MPA) meta-heuristic optimization technique is adopted. The MPA is utilised to discover the best DG location and size at the same time. The proposed method is applicable to both single and multiple DG unit sizing and siting. Furthermore, to calculate the best size of DG unit, the suggested method just requires the results of the base case load flow. The proposed approach is tested on a IEEE 33-bus radial distribution test system.

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在HILF事件发生后，多个dg的最优位置和尺寸提高电力系统的弹性

几次极端天气灾害表明，电网的弹性是现代电力系统的一个重要方面。当电网发生故障时，备用电源必须支持网络。因此，需要对配电网中的分布式代(dg)进行优化规划，以便在支持电网供电的同时，获得诸如实际功率损耗和电压偏差最小化等辅助服务。本文研究了径向配电网弹性评估与分析型运行增强策略相结合的问题。为了实现整体最小的功率损耗和更好的电压控制，采用了海洋捕食者(MPA)元启发式优化技术。MPA用于同时发现最佳DG位置和尺寸。所提出的方法适用于单个和多个DG机组的尺寸和选址。此外，为了计算DG机组的最佳规模，建议的方法只需要基本情况的潮流结果。该方法在IEEE 33总线径向分布测试系统上进行了测试。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2021 9th IEEE International Conference on Power Systems (ICPS)

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