Security constrained optimal power system dispatch considering stochastic power facility failures under extreme precipitation

IF 3.3 3区工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

Electric Power Systems Research Pub Date : 2024-11-08 DOI:10.1016/j.epsr.2024.111214

Licheng Wang , Chendong Su , Bomiao Liang , Changsen Feng , Youbing Zhang

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引用次数: 0

Abstract

Due to climate change, power systems are facing increasingly severe precipitation events. These events can lead to waterlogging-induced failures in electricity facilities, posing significant risks to the stability and reliability of power systems. Therefore, it is essential to establish a waterlogging-induced stochastic power facility outage model along with an appropriate power system scheduling strategy against extreme precipitation events. Based on the geographical information and a specific rainfall scenario, the rainstorm waterlogging model is constructed in this paper to calculate the time-varying water depths of each geographic grid in different regions across a power system. By considering all possible rainfall scenarios, the probabilities of waterlogging-induced failures of electricity power facilities can be further obtained through statistical analysis. On this basis, typical failure scenarios can be extracted from the initial scenario library and then integrated into a stochastic unit commitment (UC) method for power system dispatch. Both load-shedding and system operation costs are minimized in this method to mitigate the possible adverse effects of extreme precipitation events. The effectiveness of the proposed method is verified by case studies based on a modified IEEE 24-bus test system. Simulation results demonstrate superiorities in both economy and security over traditional ones under extreme precipitation events.

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考虑极端降水条件下随机电力设施故障的安全受限最优电力系统调度

由于气候变化，电力系统正面临越来越严重的降水事件。这些事件可能导致内涝引起的电力设施故障，给电力系统的稳定性和可靠性带来巨大风险。因此，有必要建立一个由内涝引起的随机电力设施停电模型，并针对极端降水事件制定适当的电力系统调度策略。本文基于地理信息和特定降雨情景，构建了暴雨内涝模型，以计算整个电力系统中不同区域每个地理电网的时变水深。考虑到所有可能的降雨情况，通过统计分析可进一步得出内涝引发电力设施故障的概率。在此基础上，可以从初始情景库中提取典型的故障情景，然后将其整合到电力系统调度的随机机组承诺（UC）方法中。在这种方法中，甩负荷和系统运行成本都能降到最低，以减轻极端降水事件可能造成的不利影响。基于修改后的 IEEE 24 总线测试系统的案例研究验证了所提方法的有效性。仿真结果表明，在极端降水事件下，经济性和安全性均优于传统方法。

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

Electric Power Systems Research 工程技术-工程：电子与电气

CiteScore

7.50

自引率

17.90%

发文量

963

审稿时长

3.8 months

期刊介绍： Electric Power Systems Research is an international medium for the publication of original papers concerned with the generation, transmission, distribution and utilization of electrical energy. The journal aims at presenting important results of work in this field, whether in the form of applied research, development of new procedures or components, orginal application of existing knowledge or new designapproaches. The scope of Electric Power Systems Research is broad, encompassing all aspects of electric power systems. The following list of topics is not intended to be exhaustive, but rather to indicate topics that fall within the journal purview. • Generation techniques ranging from advances in conventional electromechanical methods, through nuclear power generation, to renewable energy generation. • Transmission, spanning the broad area from UHV (ac and dc) to network operation and protection, line routing and design. • Substation work: equipment design, protection and control systems. • Distribution techniques, equipment development, and smart grids. • The utilization area from energy efficiency to distributed load levelling techniques. • Systems studies including control techniques, planning, optimization methods, stability, security assessment and insulation coordination.