Impact of Distributed Generation Integration on the Reliability of Power Distribution Systems

Mohammad AlMuhaini*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

7 Scopus citations

Abstract

The future of power systems is motivated by the necessity to diminish the impact of global climate change and reduce the concentration of greenhouse gases in the atmosphere. This can present an extraordinary challenge for the business of electric generation and delivery. The future power system is commonly referred to as a smart grid, which can be defined as an electrical network which uses intelligent monitoring, control, and communication technologies to improve the quality of service and increase the reliability and security of the system. Distributed generation (DG) integration is one of the main concepts in future power distribution systems, where different renewable energy resources combine with conventional generation and energy storage to improve the reliability of the systems and reduce their cost. Hence, assessing the impact of DG on the reliability of power distribution system is an important and challenging topic. The main objective of this chapter is to discuss the basic concepts and techniques used to evaluate the reliability of power distribution systems, including DG. Several techniques will be described in this chapter, and different adequacy and reliability indices, such as Loss of Load Probability (LOLP), System Average Interruption Duration Index (SAIDI), and System Average Interruption Frequency Index (SAIFI), will be calculated.

Original languageEnglish
Title of host publicationDistributed Generation Systems
Subtitle of host publicationDesign, Operation and Grid Integration
PublisherElsevier
Pages453-508
Number of pages56
ISBN (Electronic)9780128042632
ISBN (Print)9780128042083
DOIs
StatePublished - 24 May 2017

Bibliographical note

Publisher Copyright:
© 2017 Elsevier Inc. All rights reserved.

Keywords

  • Conventional distributed generation
  • Distributed generation
  • Energy storage
  • Markov models
  • Monte Carlo simulation
  • Reliability
  • Solar energy
  • Wind energy

ASJC Scopus subject areas

  • General Engineering

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