Hosting Capacity Estimate Based on Photovoltaic Distributed Generation Deployment: A Case Study in a Campus of the University of São Paulo

Author:

Cordeiro Igor12ORCID,Bassi Welson12ORCID,Sauer Ildo Luís12ORCID

Affiliation:

1. Institute of Energy and Environment (IEE), University of São Paulo (USP), São Paulo 05508-010, Brazil

2. Center for Analysis, Planning and Energy Resources Development (CPLEN), São Paulo 05508-010, Brazil

Abstract

Distributed generation, which is mainly deployed with PV systems that benefit economically prosumers, has soared in use in Brazil. Despite this, PV capacity in excess may cause technical issues which concern planning engineers who have adopted rules of thumb to screen interconnection requests without any detailed study. Recently, the hosting capacity concept has been employed to assess how much PV capacity a distribution grid can host without deteriorating grid parameters, reliability, or power quality. A steady-state and worst-case-based scenario was used to run deterministic power flow simulations to estimate the hosting capacity of a specific radial circuit at a campus of the University of São Paulo, referred to as “USP-105”. Although the result may be not completely accurate, it was found that USP-105 can accommodate 103% of its peak load or 4970.6 kW of PV power, which reduced the circuit’s annual peak load by 9%. Another finding was that hosting capacity increased when PV-DG deployment was dispersed along the circuit rather than concentrated on a single location (e.g., closest, or furthest to the substation). Utilities may therefore benefit from a simple and quick assessment to obtain an overview of how specific circuits behave on PV deployment and indicate which locations are technically more beneficial.

Funder

Institute of Energy and Environment of University of São Paulo

Center for Analysis, Planning and Energy Resources Development

Brazilian Electricity Regulatory Agency

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

Reference21 articles.

1. IRENA (2023, January 28). Global Trends. Available online: https://irena.org/Statistics/View-Data-by-Topic/Costs/Global-Trends.

2. IRENA (2023, January 28). Solar Energy. Available online: https://www.irena.org/Energy-Transition/Technology/Solar-energy.

3. ANEEL (2023, March 21). Distributed Generation. Available online: https://app.powerbi.com/view?r=eyJrIjoiZjM4NjM0OWYtN2IwZS00YjViLTllMjItN2E5MzBkN2ZlMzVkIiwidCI6IjQwZDZmOWI4LWVjYTctNDZhMi05MmQ0LWVhNGU5YzAxNzBlMSIsImMiOjR9.

4. Voltage Modelling of LV Feeders with Dispersed Generation: Limits of penetration of randomly connected photovoltaic generation;Gaunt;Electr. Power Syst. Res.,2017

5. On the Quantification of the Network Capacity Deferral Value of Distributed Generation;Gil;IEEE Trans. Power Syst.,2006

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