Load Areas in Radial Unbalanced Distribution Systems

Author:

Casolino Giovanni M.,Losi Arturo

Abstract

The demand becoming flexible is a requirement for the full exploitation of renewable energy sources. Aggregation may foster the provision of flexibility by small-scale providers connected to distribution grids, since it allows offering significant flexibility volumes to the market. The aggregation of flexibility providers is carried out by the aggregator, a new market role and possibly a new market player. Location information of individual flexibility providers is necessary for both the aggregator and the system operators, in particular, the Distribution System Operator (DSO). For the former, information should allow treating a high number of individual flexibility providers as a single provider to offer significant flexibility volumes to the markets; for the latter, the information should ensure an adequate visibility of the connection of the individual providers to the grid. In the paper, the concept of Load Area (LA) is recalled, which combines the needs of location information of the aggregator and of the DSO. A method for the identification and modeling of LAs for the general case of unbalanced radial systems is proposed. The results of the methods’ application to two studied unbalanced networks are presented, showing the effectiveness and viability of the proposed approach.

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)

Cited by 6 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