MILP Model of Electricity Distribution System Expansion Planning Considering Incentive Reliability Regulations

This paper aims at proposing a mixed-integer linear formulation to incorporate reliability-oriented costs into the expansion planning model of electricity distribution networks. In this respect, revenue lost associated with the undelivered energy caused by network interruptions as well as costs incu...

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Bibliographic Details
Published in:IEEE transactions on power systems Vol. 34; no. 6; pp. 4300 - 4316
Main Authors: Jooshaki, Mohammad, Abbaspour, Ali, Fotuhi-Firuzabad, Mahmud, Moeini-Aghtaie, Moein, Lehtonen, Matti
Format: Journal Article
Language:English
Published: New York IEEE 01.11.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Distributed generation
Distributed power generation
Distribution system expansion planning
Electric power distribution
Electricity pricing
incentive reliability regulations
Integers
Investment
Linear equations
Mathematical model
Mathematical models
Mixed integer linear programming
mixed-integer linear programming (MILP)
Network reliability
Networks
Power system planning
Power system reliability
Regulations
Reliability
reward-penalty scheme
System reliability
ISSN:0885-8950, 1558-0679
Online Access:Get full text
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Summary:This paper aims at proposing a mixed-integer linear formulation to incorporate reliability-oriented costs into the expansion planning model of electricity distribution networks. In this respect, revenue lost associated with the undelivered energy caused by network interruptions as well as costs incurred by the widely used reward-penalty regulations is considered as the major reliability-related costs from distribution companies point of view. A set of mixed-integer linear equations is proposed to calculate the most common distribution system reliability indices, i.e., expected energy not served, system average interruption frequency index, and system average interruption duration index. It is found that these equations can also facilitate the formulation of radiality constraint in the presence of distributed generation units. Moreover, application of the proposed method is investigated through various case studies performed on two test distribution networks with 24 and 54 nodes.
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ISSN:0885-8950
1558-0679
DOI:10.1109/TPWRS.2019.2914516