Power Side Risk Assessment of Multi-Energy Microgrids Considering Risk Propagation between Interconnected Energy Networks

Author:

Ma Yan1,Chen Yumin2,Chang Zhengwei2,Li Qian1,Liu Hongli2,Wei Yang2

Affiliation:

1. School of Electrical Engineering and Information, Southwest Petroleum University, Chengdu 610500, China

2. Power Internet of Things Key Laboratory of Sichuan Province, State Grid Sichuan Electric Power Research Institute, Chengdu 610041, China

Abstract

Traditional power systems only contain a single energy type, namely, electrical energy, and involve no interaction with other networks with different energy types, such as gas networks and heat networks. With the rapid development of the Energy Internet, the coupling between various energy types has become increasingly tight, making traditional risk assessment methods no longer suitable for multi-energy microgrids. To this end, this paper proposes a microgrid risk assessment method that considers the impact of multiple interconnected networks with different energy types. First, respectively from the equipment and system levels, a risk transfer integrated energy conversion model is built, depicting the output of equipment under risk conditions and describing the process of risk transfer using energy coupling equipment in the microgrid. Thereafter, from the perspective of the energy flow distribution and considering the microgrid grid energy flow characteristics, a microgrid energy flow distribution model is built, based on which a microgrid risk analysis model that simulates the microgrid risk propagation mechanism is established by introducing risk factors that characterize equipment risk statuses. In addition, based on the system structure and the operational characteristics, a microgrid-oriented risk assessment process is designed. Finally, a numerical simulation confirms that considering the impact of multiple different energy networks to the power side in the risk assessment is necessary.

Funder

Opening Fund of Power Internet of Things Key Laboratory of Sichuan Province

Sichuan Science and Technology Program

Opening Fund of Smart Grid Key Laboratory of Sichuan Province

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction

Reference27 articles.

1. (2019, September 06). Technical Report on the Events of 9 August 2019. Available online: https://www.nationalgrideso.com/document/152346/download.

2. Probabilistic load flow method considering correlation of photovoltaic power;Zhu;Autom. Electr. Power Syst.,2018

3. Bayesian theory based calculation of probabilistic power flow considering correlation between multi-dimensional wind speed;Su;Autom. Electr. Power Syst.,2021

4. Rolling optimal scheduling of active distribution network based on sequential dynamic constraints;Li;Autom. Electr. Power Syst.,2019

5. Weakness identification of integrated energy systems considering operation risk and resilience;Chen;Autom. Electr. Power Syst.,2022

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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