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Profit-maximization generation maintenance scheduling through bi-level programming
KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems. Research Institute for Technology (IIT), Comillas Pontifical University, Madrid 28015, Spain.ORCID iD: 0000-0002-0396-3326
KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems.
2018 (English)In: European Journal of Operational Research, ISSN 0377-2217, E-ISSN 1872-6860, Vol. 264, no 3, p. 1045-1057Article in journal (Refereed) Published
Abstract [en]

This paper addresses the generation maintenance scheduling (GMS) dilemma in a deregulated power system. At first, under a centralized cost minimization framework, a GMS is formulated and set as the benchmark (cost-minimization GMS). Then, the cost-minimization is changed into a profit-maximization problem of generation companies (GENCOs) and the GMS is developed as a bi-level optimization. Karush-Kuhn-Tucker conditions are applied to transform the bi-level into a single-level mixed-integer linear problem and subsequently, Nash equilibrium is obtained as the final solution for the GMS under a deregulated market (profit-maximization GMS). Moreover, to incorporate reliability and economic regulatory constraints, two rescheduling signals (incentive and penalty) are considered as coordination processes among GENCOs and independent system operators. These signals are based on energy-not-supplied and operation cost, and ensure that the result of profit-maximization GMS is in the given reliability and social cost limits, respectively. These limits are obtained from the cost-minimization GMS. Lastly, the model is evaluated on a test system. The results demonstrate applicability and challenges in GMS problems. 

Place, publisher, year, edition, pages
ELSEVIER SCIENCE BV , 2018. Vol. 264, no 3, p. 1045-1057
Keywords [en]
Maintenance, Scheduling, OR in energy, Coordination process, Deregulated power system
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-217717DOI: 10.1016/j.ejor.2017.07.008ISI: 000414108300021Scopus ID: 2-s2.0-85025131408OAI: oai:DiVA.org:kth-217717DiVA, id: diva2:1159681
Note

QC 20171123

Available from: 2017-11-23 Created: 2017-11-23 Last updated: 2017-11-23Bibliographically approved

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Mazidi, PeymanTohidi, Yaser

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