Multiobjective Robust Power System Expansion Planning Considering Generation Units Retirement

This paper presents a mixed-integer linear robust multiobjective model for the expansion planning of an electric power system. An information-gap decision theory-based framework is proposed to take into account the uncertainties in electrical demand and new power system elements prices. The model is...

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Vydáno v:IEEE systems journal Ročník 12; číslo 3; s. 2664 - 2675
Hlavní autoři: Mavalizadeh, Hani, Ahmadi, Abdollah, Gandoman, Foad Haidari, Siano, Pierluigi, Shayanfar, Heidar Ali
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.09.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Computer simulation
Constraints
Decision theory
Electric power systems
Fuels
Generation expansion planning
Indexes
information-gap decision theory
Linearization
mixed-integer linear programming
Multiple objective analysis
normal boundary intersection
Planning
Power transmission lines
Retirement
transmission expansion planning
Transportation
Uncertainty
ISSN:1932-8184, 1937-9234
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Shrnutí:This paper presents a mixed-integer linear robust multiobjective model for the expansion planning of an electric power system. An information-gap decision theory-based framework is proposed to take into account the uncertainties in electrical demand and new power system elements prices. The model is intended to increase the power system resistance against the uncertainties caused by forecast errors. The normal boundary intersection method is used to obtain the Pareto front of the multiobjective problem. Since the planning problem is a large-scale problem, the model is kept linear using the Big M linearization technique that is able to significantly decrease the computational burden. The fuel transportation and availability constraints are taken into account. The model also enables the system planner to build new fuel transportation routes whenever it is necessary. The generating units' retirement is also incorporated into the model, and the simulation results are showed to the advantages of incorporating units' retirement in the power system expansion planning model instead of considering it separately. The proposed multiobjective method is applied to the Garver 6-bus, IEEE 24-bus, and IEEE 118-bus test systems, and the results are compared with the well-known epsilon-constraint method.
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content type line 14
ISSN:1932-8184
1937-9234
DOI:10.1109/JSYST.2017.2672694