A multi-objective mixed integer linear programming approach for simultaneous optimization of cost and resilience of power distribution networks

IF 4.8 2区工程技术 Q2 ENERGY & FUELS

Sustainable Energy Grids & Networks Pub Date : 2024-06-29 DOI:10.1016/j.segan.2024.101462

Vandana Kumari, Sanjib Ganguly

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引用次数: 0

Abstract

In recent years, customers have experienced a significant increase in weather-related power outages. The power distribution network (PDN), a subset of the power system, in particular is more susceptible to extreme events. Therefore, ensuring the resilient and cost-effective operation of PDNs following extreme weather conditions poses a significant challenge for distribution network operators. This paper presents an approach for simultaneously optimizing the cost and load restoration for resilience enhancement of power distribution networks while determining the optimal positioning and generation levels of mobile emergency generators. The proposed method, in addition, employs a distribution network reconfiguration to improve the load restoration process, by optimally determining the status of switches. The multi-objective formulation involves the minimization of load shedding to increase the resilience of the system, while the other objective is formulated to minimize the cost of load restoration. A weighted sum method is employed to address the multi-objective mixed-integer linear programming (MILP) model. A set of non-dominated solutions determined using the proposed formulation provides opportunities to the distribution system operator in choosing a resilience improvement strategy according to the availability of the operational budget. The proposed model is implemented on 33-bus distribution system to validate the efficacy of the proposed model.

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同时优化配电网成本和恢复能力的多目标混合整数线性规划方法

近年来，与天气有关的停电事件大幅增加。配电网络（PDN）作为电力系统的一个子集，尤其更容易受到极端事件的影响。因此，在极端天气条件下确保配电网的弹性和成本效益对配电网运营商来说是一项重大挑战。本文提出了一种方法，可在确定移动应急发电机的最佳定位和发电量的同时，优化成本和负荷恢复，以增强配电网的恢复能力。此外，所提出的方法还采用了配电网络重新配置，通过优化确定开关状态来改进负荷恢复过程。多目标表述包括最大限度地减少甩负荷以提高系统的恢复能力，而另一个目标则是最大限度地减少恢复负荷的成本。多目标混合整数线性规划（MILP）模型采用了加权和法。利用所提方案确定的一组非主导解为配电系统运营商提供了根据可用运营预算选择弹性改进策略的机会。为了验证所提模型的有效性，我们在 33 个总线配电系统上实施了所提模型。

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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来源期刊

Sustainable Energy Grids & Networks Energy-Energy Engineering and Power Technology

CiteScore

7.90

自引率

13.00%

发文量

206

审稿时长

49 days

期刊介绍： Sustainable Energy, Grids and Networks (SEGAN)is an international peer-reviewed publication for theoretical and applied research dealing with energy, information grids and power networks, including smart grids from super to micro grid scales. SEGAN welcomes papers describing fundamental advances in mathematical, statistical or computational methods with application to power and energy systems, as well as papers on applications, computation and modeling in the areas of electrical and energy systems with coupled information and communication technologies.