LAPSE:2023.14821
Published Article
LAPSE:2023.14821
Expansion Planning of Power Distribution Systems Considering Reliability: A Comprehensive Review
March 1, 2023
Abstract
One of the big concerns when planning the expansion of power distribution systems (PDS) is reliability. This is defined as the ability to continuously meet the load demand of consumers in terms of quantity and quality. In a scenario in which consumers increasingly demand high supply quality, including few interruptions and continuity, it becomes essential to consider reliability indices in models used to plan PDS. The inclusion of reliability in optimization models is a challenge, given the need to estimate failure rates for the network and devices. Such failure rates depend on the specific characteristics of a feeder. In this context, this paper discusses the main reliability indices, followed by a comprehensive survey of the methods and models used to solve the optimal expansion planning of PDS considering reliability criteria. Emphasis is also placed on comparing the main features and contributions of each article, aiming to provide a handy resource for researchers. The comparison includes the decision variables and reliability indices considered in each reviewed article, which can be used as a guide to applying the most suitable method according to the requisites of the system. In addition, each paper is classified according to the optimization method, objective type (single or multiobjective), and the number of stages. Finally, we discuss future research trends concerning the inclusion of reliability in PDS expansion planning.
Keywords
distribution system, expansion planning, optimization models, reliability
Suggested Citation
Aschidamini GL, da Cruz GA, Resener M, Ramos MJS, Pereira LA, Ferraz BP, Haffner S, Pardalos PM. Expansion Planning of Power Distribution Systems Considering Reliability: A Comprehensive Review. (2023). LAPSE:2023.14821
Author Affiliations
Aschidamini GL: Graduate Program in Electrical Engineering, Federal University of Rio Grande do Sul, Porto Alegre 90035190, Brazil [ORCID]
da Cruz GA: Graduate Program in Electrical Engineering, Federal University of Rio Grande do Sul, Porto Alegre 90035190, Brazil [ORCID]
Resener M: Graduate Program in Electrical Engineering, Federal University of Rio Grande do Sul, Porto Alegre 90035190, Brazil; School of Sustainable Energy Engineering, Faculty of Applied Sciences, Simon Fraser University-Surrey Campus, Surrey, BC V3T 0N1, Canada [ORCID]
Ramos MJS: Graduate Program in Electrical Engineering, Federal University of Rio Grande do Sul, Porto Alegre 90035190, Brazil [ORCID]
Pereira LA: Graduate Program in Electrical Engineering, Federal University of Rio Grande do Sul, Porto Alegre 90035190, Brazil [ORCID]
Ferraz BP: Graduate Program in Electrical Engineering, Federal University of Rio Grande do Sul, Porto Alegre 90035190, Brazil [ORCID]
Haffner S: Graduate Program in Electrical Engineering, Federal University of Rio Grande do Sul, Porto Alegre 90035190, Brazil [ORCID]
Pardalos PM: Center for Applied Optimization, Department of Industrial & Systems Engineering, University of Florida, Gainesville, FL 32611, USA [ORCID]
Journal Name
Energies
Volume
15
Issue
6
First Page
2275
Year
2022
Publication Date
2022-03-21
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en15062275, Publication Type: Review
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LAPSE:2023.14821
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https://doi.org/10.3390/en15062275
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