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Reliability improvement of distribution systems using SSVR
386 viewed

Reliability improvement of distribution systems using SSVR

Hosseini, M

Reliability improvement of distribution systems using SSVR

Hosseini, M ; Sharif University of Technology | 2009

386 Viewed
  1. Type of Document: Article
  2. DOI: 10.1016/j.isatra.2008.10.006
  3. Publisher: 2009
  4. Abstract:
  5. This paper presents a reliability assessment algorithm for distribution systems using a Static Series Voltage Regulator (SSVR). Furthermore, this algorithm considers the effects of Distributed Generation (DG) units, alternative sources, system reconfiguration, load shedding and load adding on distribution system reliability indices. In this algorithm, load points are classified into 8 types and separated restoration times are considered for each class. Comparative studies are conducted to investigate the impacts of DG and alternative source unavailability on the distribution system reliability. For reliability assessment, the customer-oriented reliability indices such as SAIFI, SAIDI, CAIDI ASUI and also load- and energy-oriented indices such as ENS and AENS are evaluated. The effectiveness of the proposed algorithm is examined on the two standard distribution systems consisting of 33 and 69 nodes. The best location of the SSVR in distribution systems is determined based on different reliability indices, separately. Results show that the proposed algorithm is efficient for large-scale radial distribution systems and can accommodate the effects of fault isolation and load restoration. © 2008 ISA
  6. Keywords:
  7. Electric potential ; Electric power distribution ; Galerkin methods ; Local area networks ; Pumps ; Restoration ; Voltage regulators ; Alternative sources ; Comparative studies ; Distributed generation units ; Distribution system ; Distribution system reliabilities ; Distribution systems ; Fault isolations ; Load points ; Load restorations ; Load shedding ; Radial distribution systems ; Reliability assessments ; Reliability improvement ; Reliability improvements ; Reliability indices ; Restoration times ; SSVR ; Standard distributions ; System reconfigurations ; Reliability
  8. Source: ISA Transactions ; Volume 48, Issue 1 , 2009 , Pages 98-106 ; 00190578 (ISSN)
  9. URL: https://www.sciencedirect.com/science/article/abs/pii/S0019057808000669