Generating Sequential PV Deployment Scenarios for High Renewable Distribution Grid Planning

Kwami Senam Sedzro, Michael Emmanuel, Sherin Ann Abraham

Research output: Contribution to conferencePaperpeer-review

1 Scopus Citations

Abstract

This paper introduces a novel approach for generating solar photovoltaic (PV) plant deployment scenarios for grid integration planning. The approach guarantees consistency among scenarios of the same deployment by ensuring that higher penetration scenarios contain PV units deployed in lower penetration scenarios. It also constrains the size and spatial distribution of the PV plants and considers three placement types. A case study on a real-world distribution system proves that the precepts of scenario consistency, deployment diversity, and placement are met. The study further investigates the impact of the resulting scenarios via a stochastic hosting capacity analysis. Results indicate that the ratio between PV and load sizes, referred to as the nodal PV penetration factor (NPPF), is a key driver of the grid integration impact. By reducing the NPPF from 5 to 2, the maximum hosting capacity increased by at least 112%. The study also reveals that scenarios under random placement can lead to higher hosting capacity values.

Original languageAmerican English
Number of pages5
DOIs
StatePublished - 2022
Event2022 IEEE International Conference on Power Systems Technology, POWERCON 2022 - Kuala Lumpur, Malaysia
Duration: 12 Sep 202214 Sep 2022

Conference

Conference2022 IEEE International Conference on Power Systems Technology, POWERCON 2022
Country/TerritoryMalaysia
CityKuala Lumpur
Period12/09/2214/09/22

Bibliographical note

See NREL/CP-6A40-81434 for preprint

NREL Publication Number

  • NREL/CP-6A40-85003

Keywords

  • energy systems integration
  • grid integration planning
  • hosting capacity
  • Photovoltaics
  • PV scenario generation

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