A Benders decomposition algorithm for a multi-area, multi-stage integrated resource planning in power systems

The aim of this paper is to propose an integrated model for resource planning in power systems by taking into account both supply and demand sides options simultaneously. At supply-side, investment in generation capacity and transmission lines is considered. Demand side management (DSM) technologies...

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Bibliographic Details
Published inThe Journal of the Operational Research Society Vol. 64; no. 8; pp. 1118 - 1136
Main Authors Jenabi, M, Ghomi, SMT Fatemi, Torabi, SA, Hosseinian, SH
Format Journal Article
LanguageEnglish
Published London Palgrave Macmillan 01.08.2013
Palgrave Macmillan UK
Taylor & Francis Ltd
Subjects
Algorithms
Business and Management
Capacity costs
Capital expenditures
Demand side management
Electric power
Electricity
Electricity distribution
Energy
Expansion
Heuristic
Integer programming
Investigations
Investment plans
Linear programming
Management
Operating costs
Operations research
Operations Research/Decision Theory
Planning
Power lines
Resource management
Special Issue Paper
Special Issue Papers
Studies
Test systems
Transmission lines
Transmission loss
composite generation and transmission planning
power systems
demand side management
Benders decomposition
integrated resource planning
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Summary:The aim of this paper is to propose an integrated model for resource planning in power systems by taking into account both supply and demand sides options simultaneously. At supply-side, investment in generation capacity and transmission lines is considered. Demand side management (DSM) technologies are also incorporated to correct the shape of the load duration curve in terms of peak clipping and load shifting programmes. A mixed integer non-linear programming model is developed to find the optimal location and timing of electricity generation/transmission as well as DSM options. To solve the resulting complex model, nonlinearity caused by transmission loss terms are first eliminated using the piecewise linearization technique. Then, a Benders decomposition (BD) algorithm is developed to solve the linearized model. The performance of the proposed BD algorithm is validated via applying it to the 6-bus Garver test system and a modified 21-bus IEEE reliability test system.
ISSN:0160-5682
1476-9360
DOI:10.1057/jors.2012.142