Research on redundancy margin analysis method of 10kV regional distribution network based on demand-side response

Author:

Luo Hairong,Li Yongliang,Zhang Qingping,Gao Bo,Li Xuefeng

Abstract

Abstract The current status of the regional 10kV distribution network has problems such as the unreasonable capacity declaration, capacity redundancy, and line margin reduction due to a large number of distributed PV and electric vehicle access. In this regard, a redundancy margin analysis method of a 10kV regional distribution network based on demand-side response is proposed. The customer distribution substation power consumption data and operation data are analyzed to establish a 10kV regional distribution network redundancy margin analysis model, and the model is constrained. In the experiments, the proposed method is verified for analysis accuracy. The analysis of the experimental results shows that the proposed method has a high analytical accuracy for analyzing the redundancy margin of the 10kV regional distribution network.

Publisher

IOP Publishing

Subject

Computer Science Applications,History,Education

Reference6 articles.

1. Adaptive droop control of DC distribution network considering photovoltaic output power margin;Liu;Journal of Physics: Conference Series,2021

2. An Early Warning Method of Distribution System Fault Risk Based on Data Mining;Mao;Mathematical Problems in Engineering,2020

3. Optimal Allocation of Synchrophasor Units in the Distribution Network Considering Maximum Redundancy;Priyadarshini;Engineering, Technology and Applied Science Research,2020

4. Analysis of freight transportation network redundancy: an application to Utah’s bi-modal network for transporting coal;Sj;Transportation Research Part A: Policy and Practice,2021

5. Research on capacity configuration method of the energy storage system in active distribution network considering the assessment of health risk for retired electric vehicle batteries;Yan;Energy Reports,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