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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| Published in | Renewable energy Vol. 97; pp. 636 - 645 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Ltd
01.11.2016
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| Subjects | |
| Online Access | Get full text |
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| Abstract | 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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| AbstractList | 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. 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. |
| Author | Jirdehi, Mehdi Ahmadi Hemmati, Reza Saboori, Hedayat |
| Author_xml | – sequence: 1 givenname: Reza surname: Hemmati fullname: Hemmati, Reza email: r.hemmati@kut.ac.ir – sequence: 2 givenname: Hedayat surname: Saboori fullname: Saboori, Hedayat email: h.saboori@kut.ac.ir – sequence: 3 givenname: Mehdi Ahmadi surname: Jirdehi fullname: Jirdehi, Mehdi Ahmadi email: m.ahmadi@kut.ac.ir |
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| SubjectTerms | 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 |
| Title | Multistage generation expansion planning incorporating large scale energy storage systems and environmental pollution |
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