Comprehensive Evaluation Index System and Application of Low-Carbon Resilience of Power Grid Containing Phase-Shifting Transformer under Ice Disaster

Author:

Zhang Jing1,Cheng Huilin2,Yang Peng3,Zhang Bingyan4,Zhang Shiqi4,Lu Zhigang4

Affiliation:

1. Jinzhou County Power Supply Company, State Grid Hebei Electric Power Co., Ltd., Jinzhou 052200, China

2. Shijiazhuang Power Supply Company, State Grid Hebei Electric Power Co., Ltd., Shijiazhuang 050051, China

3. State Grid Hebei Electric Power Co., Ltd., Shijiazhuang 050051, China

4. Key Laboratory of Power Electronics for Energy Conservation and Motor Drive of Hebei Province, Yanshan University, Qinhuangdao 066004, China

Abstract

In view of the high impact of extreme disasters, this paper comprehensively evaluates power grid performance from a new low-carbon toughness perspective. First, considering the increase in carbon emissions and the recovery time of carbon emissions, low-carbon resilience indicators are proposed. At the same time, considering the power-regulation effect of the phase-shifter transformer, the fault and response model of a power grid under an ice disaster is established, and then, a comprehensive evaluation index system of low-carbon toughness of the power grid is constructed. The weight determination is carried out using the fuzzy analytic hierarchy process-entropy-based weight method, while the fuzzy comprehensive evaluation center of gravity method is used to evaluate the power grid comprehensively. Finally, examples are presented to verify the feasibility of the proposed method, emphasizing its potential for evaluating the comprehensive performance of low-carbon and toughness of the power grid in the future.

Funder

Technology project of State Grid Hebei Electric Power Co., Ltd.

Publisher

MDPI AG

Subject

Process Chemistry and Technology,Chemical Engineering (miscellaneous),Bioengineering

Reference32 articles.

1. Power System Resilience Assessment and improvement;Chen;Power Syst. Prot. Control.,2022

2. Concept and key features of flexible power grid;Ruan;Chin. J. Electr. Eng.,2020

3. Fotopoulou, M., Rakopoulos, D., and Petridis, S. (2022). Decision Support System for Emergencies in Microgrids. Sensors, 22.

4. The Effect of Decision Analysis on Power System Resilience and Economic Value During a Severe Weather Event;Wu;IEEE Trans. Ind. Appl.,2022

5. Elasticity assessment of smart distribution networks in extreme weather;Li;Power Syst. Autom.,2020

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3