A multistage framework for reliability-based distribution expansion planning considering distributed generations by a self-adaptive global-based harmony search algorithm. (July 2015)
- Record Type:
- Journal Article
- Title:
- A multistage framework for reliability-based distribution expansion planning considering distributed generations by a self-adaptive global-based harmony search algorithm. (July 2015)
- Main Title:
- A multistage framework for reliability-based distribution expansion planning considering distributed generations by a self-adaptive global-based harmony search algorithm
- Authors:
- Shivaie, Mojtaba
Ameli, Mohammad T.
Sepasian, Mohammad S.
Weinsier, Philip D.
Vahidinasab, Vahid - Abstract:
- Abstract: In this paper, the authors present a new multistage framework for reliability-based Distribution Expansion Planning (DEP) in which expansion options are a reinforcement and/or installation of substations, feeders, and Distributed Generations (DGs). The proposed framework takes into account not only costs associated with investment, maintenance, and operation, but also expected customer interruption cost in the optimization as four problem objectives. At the same time, operational restrictions, Kirchhoff׳s laws, radial structure limitation, voltage limits, and capital expenditure budget restriction are considered as problem constraints. The proposed model is a non-convex optimization problem having a non-linear, mixed-integer nature. Hence, a hybrid Self-adaptive Global-based Harmony Search Algorithm (SGHSA) and Optimal Power Flow (OPF) were used and followed by a fuzzy satisfying method in order to obtain the final optimal solution. The SGHSA is a recently developed optimization algorithm which imitates the music improvisation process. In this process, the harmonists improvise their instrument pitches, searching for the perfect state of harmony. The planning methodology was demonstrated on the 27-node, 13.8-kV test system in order to demonstrate the feasibility and capability of the proposed model. Simulation results illustrated the sufficiency and profitableness of the newly developed framework, when compared with other methods. Graphical abstract: Highlights: AAbstract: In this paper, the authors present a new multistage framework for reliability-based Distribution Expansion Planning (DEP) in which expansion options are a reinforcement and/or installation of substations, feeders, and Distributed Generations (DGs). The proposed framework takes into account not only costs associated with investment, maintenance, and operation, but also expected customer interruption cost in the optimization as four problem objectives. At the same time, operational restrictions, Kirchhoff׳s laws, radial structure limitation, voltage limits, and capital expenditure budget restriction are considered as problem constraints. The proposed model is a non-convex optimization problem having a non-linear, mixed-integer nature. Hence, a hybrid Self-adaptive Global-based Harmony Search Algorithm (SGHSA) and Optimal Power Flow (OPF) were used and followed by a fuzzy satisfying method in order to obtain the final optimal solution. The SGHSA is a recently developed optimization algorithm which imitates the music improvisation process. In this process, the harmonists improvise their instrument pitches, searching for the perfect state of harmony. The planning methodology was demonstrated on the 27-node, 13.8-kV test system in order to demonstrate the feasibility and capability of the proposed model. Simulation results illustrated the sufficiency and profitableness of the newly developed framework, when compared with other methods. Graphical abstract: Highlights: A new multistage framework is presented for reliability-based DEP problem. In this paper, DGs are considered as an expansion option to increase the flexibility of the proposed model. In this paper, effective factors of DEP problem are incorporated as a multi-objective model. In this paper, three new algorithms HSA, IHSA and SGHSA are proposed. Results obtained by the proposed SGHSA algorithm are better than others. … (more)
- Is Part Of:
- Reliability engineering & system safety. Volume 139(2015:Jul.)
- Journal:
- Reliability engineering & system safety
- Issue:
- Volume 139(2015:Jul.)
- Issue Display:
- Volume 139 (2015)
- Year:
- 2015
- Volume:
- 139
- Issue Sort Value:
- 2015-0139-0000-0000
- Page Start:
- 68
- Page End:
- 81
- Publication Date:
- 2015-07
- Subjects:
- Distributed Generations (DGs) -- Distribution Expansion Planning (DEP) -- Expected customer interruption cost -- Optimal Power Flow (OPF) -- Self-adaptive Global-based Harmony Search Algorithm (SGHSA)
Reliability (Engineering) -- Periodicals
System safety -- Periodicals
Industrial safety -- Periodicals
Fiabilité -- Périodiques
Sécurité des systèmes -- Périodiques
Sécurité du travail -- Périodiques
620.00452 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09518320 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ress.2015.03.001 ↗
- Languages:
- English
- ISSNs:
- 0951-8320
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 7356.422700
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 6313.xml