DG Locational Incremental Contribution to Grid Supply Level

Ignacio Hernando Gil, Zhipeng Zhang, Mike Brian Ndawula, Sasa Z. Djokic

Research output: Chapter or section in a book/report/conference proceedingChapter in a published conference proceeding

Abstract

Due to decarbonisation and decentralisation of energy sectors, the rise of distributed generation (DG) will modify generation and demand patterns at grid supply points (GSPs), where the interface between distribution and transmission systems takes place. This paper proposes an analytical method to evaluate the DG locational incremental contribution (LIC) to the interface with the transmission grid. Accordingly, the original model of the UK engineering recommendation P2 is enhanced by studying the impacts from high-voltage distribution networks (i.e. ≤ 132 kV) under normal and contingent conditions. This approach enables a more accurate network security assessment, especially when considering contingencies such as distribution system faults. The original P2 is compared against different enhanced approaches on three basic distribution networks, followed by a sensitivity analysis on a revised IEEE 14-bus GSP system. The proposed LIC method produces results that assess a wider range of conditions including DG penetration, concentration and system reliability. Furthermore, it provides an increased DG visibility for transmission planning and operation.
Original languageEnglish
Title of host publicationProceedings - 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2020
EditorsZhigniew Leonowicz
Place of PublicationU. S. A.
PublisherIEEE
Number of pages6
ISBN (Electronic)9781728174532
ISBN (Print)9781728174563
DOIs
Publication statusPublished - 6 Aug 2020

Publication series

NameProceedings - 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2020

Keywords

  • distributed generation
  • network congestion management
  • network state enumeration
  • power system reliability
  • transmission system operator

ASJC Scopus subject areas

  • Control and Optimization
  • Artificial Intelligence
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering
  • Environmental Engineering

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