A fuzzy long-term investment planning model for a GenCo in a hybrid electricity market considering climate change impacts

Berna Tektas Sivrikaya (), Ferhan Cebi (), Hasan Hüseyin Turan (), Nihat Kasap () and Dursun Delen ()
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Berna Tektas Sivrikaya: Uludag University
Ferhan Cebi: Istanbul Technical University
Hasan Hüseyin Turan: Qatar University
Nihat Kasap: Sabanci University
Dursun Delen: Oklahoma State University

Information Systems Frontiers, 2017, vol. 19, issue 5, No 2, 975-991

Abstract: Abstract We study the long-term generation capacity investment problem of an independent power generation company (GenCo) that functions in an environment where GenCos perform business with both bilateral contracts (BC) and transactions in the day-ahead market (DAM). A fuzzy mixed integer linear programming model with a fuzzy objective and fuzzy constraints is developed to incorporate the impacts of imprecision/uncertainty in the economic environment on the calculation of the optimal value of the GenCo’s objective function. In formulating the fuzzy objective function we also include the potential impacts of climate change on the energy output of hydroelectric power plants. In addition to formulating and solving the capacity planning/investment problem, we also performed scenario-based (sensitivity) analysis to explore how investment decisions of the GenCos change when fuzziness (tolerance) in the maximum energy output of hydroelectric units and/or drought expectation increases. The proposed model is novel and investigates the effects of factors like drought expectations of climate changes, hydroelectric power plant investments, and other power generation technology investment options.

Keywords: Long-term capacity planning; energy generation; fuzzy programming; bilateral contracts market; day-ahead market; climate change; hydroelectric power (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (3)

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DOI: 10.1007/s10796-016-9707-1

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