Multistage generation expansion planning incorporating large scale energy storage systems and environmental pollution

This paper addresses a multistage electricity generation expansion planning (GEP) incorporating large-scale energy storage systems (ESSs). The proposed coordinated GEP-ESS planning aims at minimizing the planning cost and environmental pollution at the same time, while it considers large-scale ESSs....

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Bibliographic Details
Published inRenewable energy Vol. 97; pp. 636 - 645
Main Authors Hemmati, Reza, Saboori, Hedayat, Jirdehi, Mehdi Ahmadi
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.11.2016
Subjects
algorithms
Cost engineering
Electricity
electricity generation
Energy storage
Energy storage system
Environmental pollution
Flexibility
Generation expansion planning
Multistage
Nonlinear programming
Peak load
pollution
Pollution abatement
Reliability
renewable energy sources
Environmental pollution
Generation expansion planning
Energy storage system
Reliability
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Summary:This paper addresses a multistage electricity generation expansion planning (GEP) incorporating large-scale energy storage systems (ESSs). The proposed coordinated GEP-ESS planning aims at minimizing the planning cost and environmental pollution at the same time, while it considers large-scale ESSs. Problem is expressed as a mixed-integer nonlinear programming and solved using PSO algorithm. Problem is solved subject to practical constraints of the network. ESS capacities are installed to support peak load level and reducing planning cost and environmental pollution. A typical test system including several existing and candidate generating units is considered to evaluate the proposed methodology. ESSs with various capacities are considered as candidate ESSs. Considering a large number of generating units and ESSs capacities increases the flexibility of the planning. Simulation results demonstrate that utilizing ESSs significantly reduces GEP cost as well as decreases the environmental pollution. •Generation expansion planning considering environmental pollution is addressed.•Large-scale energy storage systems (ESSs) are incorporated.•Problem is expressed as a mixed integer nonlinear programming.•Problem is solved using PSO algorithm.•Results demonstrate the positive effects of ESSs on the planning.
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ISSN:0960-1481
1879-0682
DOI:10.1016/j.renene.2016.06.020