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Impact of residential load models for overvoltage prevention studies in PV-Rich LV grids

  • Fetnando B. Dos Reis
  • , Kapil Duwadi
  • , Robert Foutney
  • , Reinaldo Tonkoski
  • , Timothy M. Hansen
  • , Mohammad Asif Iqbal Khan
  • , Sumit Paudyal
  • South Dakota State University
  • Michigan Technological University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

Selection of load models used in the study of power systems impacts the analyses being performed. Voltage-rise given the increased deployment of photovoltaic (PV) distributed generation presents technical challenges in low voltage (LV) distribution networks. Appliance consumption is naturally affected by the local voltage, a behavior taken into account by ZIP load models. PV generation is also affected by the local voltage because the inverters will not inject power if the voltage is not within a predefined range. An evaluation framework in MATLAB/Simulink, performed in OPAL-RT, is proposed to study the month-long technical analysis of the impact of the choice of load model for overvoltage challenges of PV-rich LV networks. A common droop-based active power curtailment PV inverter controller is implemented to evaluate a month-long technical impact on a 12-house LV distribution network. Analyses include voltage profile, energy generation and consumption, transformer loading, and system losses. The overall impacts of load model in the LV distribution system are presented and it is shown that overvoltage challenges are to an extent naturally reduced given the behavior of load.

Original languageEnglish
Title of host publication2019 IEEE Milan PowerTech, PowerTech 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538647226
DOIs
StatePublished - Jun 2019
Externally publishedYes
Event2019 IEEE Milan PowerTech, PowerTech 2019 - Milan, Italy
Duration: 23 Jun 201927 Jun 2019

Publication series

Name2019 IEEE Milan PowerTech, PowerTech 2019

Conference

Conference2019 IEEE Milan PowerTech, PowerTech 2019
Country/TerritoryItaly
CityMilan
Period23/06/1927/06/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Distributed power generation
  • PV-rich LV networks
  • Power system simulation
  • Residential load model
  • ZIP parameters

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