Sangam: A Confluence of Knowledge Streams

Investment Incentives in Competitive Electricity Markets

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dc.contributor Electrical and Computer Engineering
dc.creator Valinejad, Jaber
dc.creator Barforoushi, Taghi
dc.creator Marzband, Mousa
dc.creator Pouresmaeil, Edris
dc.creator Godina, Radu
dc.creator Catalão, João P. S.
dc.date 2018-10-24T12:34:46Z
dc.date 2018-10-24T12:34:46Z
dc.date 2018-10-18
dc.date 2018-10-24T08:16:05Z
dc.date.accessioned 2023-03-01T18:52:47Z
dc.date.available 2023-03-01T18:52:47Z
dc.identifier Valinejad, J.; Barforoshi, T.; Marzband, M.; Pouresmaeil, E.; Godina, R.; P. S. Catalão, J. Investment Incentives in Competitive Electricity Markets. Appl. Sci. 2018, 8, 1978.
dc.identifier http://hdl.handle.net/10919/85472
dc.identifier https://doi.org/10.3390/app8101978
dc.identifier.uri http://localhost:8080/xmlui/handle/CUHPOERS/281658
dc.description This paper presents the analysis of a novel framework of study and the impact of different market design criterion for the generation expansion planning (GEP) in competitive electricity market incentives, under variable uncertainties in a single year horizon. As investment incentives conventionally consist of firm contracts and capacity payments, in this study, the electricity generation investment problem is considered from a strategic generation company (GENCO)<inline-formula> <math display="inline"> <semantics> <msup> <mrow></mrow> <mo>&prime;</mo> </msup> </semantics> </math> </inline-formula>s perspective, modelled as a bi-level optimization method. The first-level includes decision steps related to investment incentives to maximize the total profit in the planning horizon. The second-level includes optimization steps focusing on maximizing social welfare when the electricity market is regulated for the current horizon. In addition, variable uncertainties, on offering and investment, are modelled using set of different scenarios. The bi-level optimization problem is then converted to a single-level problem and then represented as a mixed integer linear program (MILP) after linearization. The efficiency of the proposed framework is assessed on the MAZANDARAN regional electric company (MREC) transmission network, integral to IRAN interconnected power system for both elastic and inelastic demands. Simulations show the significance of optimizing the firm contract and the capacity payment that encourages the generation investment for peak technology and improves long-term stability of electricity markets.
dc.description Published version
dc.format application/pdf
dc.format application/pdf
dc.language en
dc.publisher MDPI
dc.rights Creative Commons Attribution 4.0 International
dc.rights http://creativecommons.org/licenses/by/4.0/
dc.subject capacity payment
dc.subject firm contract
dc.subject generation expansion planning
dc.subject mathematical program with equilibrium constraints
dc.subject strategic GENCO
dc.subject uncertainty
dc.subject investment incentives
dc.title Investment Incentives in Competitive Electricity Markets
dc.title Applied Sciences
dc.type Article - Refereed
dc.type Text


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