Change search
Link to record
Permanent link

Direct link
BETA
Tohidi, Yaser
Publications (5 of 5) Show all publications
Mazidi, P., Tohidi, Y., Ramos, A. & Sanz-Bobi, M. A. (2018). Profit-maximization generation maintenance scheduling through bi-level programming. European Journal of Operational Research, 264(3), 1045-1057
Open this publication in new window or tab >>Profit-maximization generation maintenance scheduling through bi-level programming
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
Keywords
Maintenance, Scheduling, OR in energy, Coordination process, Deregulated power system
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-217717 (URN)10.1016/j.ejor.2017.07.008 (DOI)000414108300021 ()2-s2.0-85025131408 (Scopus ID)
Note

QC 20171123

Available from: 2017-11-23 Created: 2017-11-23 Last updated: 2017-11-23Bibliographically approved
Mazidi, P., Tohidi, Y. & Sanz-Bobi, M. A. (2017). Strategic Maintenance Scheduling of an Offshore Wind Farm in a Deregulated Power System. Energies, 10(3), Article ID 313.
Open this publication in new window or tab >>Strategic Maintenance Scheduling of an Offshore Wind Farm in a Deregulated Power System
2017 (English)In: Energies, ISSN 1996-1073, E-ISSN 1996-1073, Vol. 10, no 3, article id 313Article in journal (Refereed) Published
Abstract [en]

This paper proposes a model for strategic maintenance scheduling of offshore wind farms (SMSOWF) in a deregulated power system. The objective of the model is to plan the maintenance schedules in a way to maximize the profit of the offshore wind farm. In addition, some network constraints, such as transmission lines capacity, and wind farm constraints, such as labor working shift, wave height limit and wake effect, as well as unexpected outages, are included in deterministic and stochastic studies. Moreover, the proposed model provides the ability to incorporate information from condition monitoring systems. SMSOWF is formulated through a bi-level formulation and then transformed into a single-level through Karush-Kuhn-Tucker conditions. The model is validated through a test system, and the results demonstrate applicability, advantages and challenges of harnessing the full potential of the model.

Place, publisher, year, edition, pages
MDPI AG, 2017
Keywords
bi-level optimization, maintenance scheduling, deregulated power system, offshore wind farm
National Category
Energy Engineering
Identifiers
urn:nbn:se:kth:diva-206300 (URN)10.3390/en10030313 (DOI)000398736700053 ()2-s2.0-85017645074 (Scopus ID)
Note

QC 20170505

Available from: 2017-05-05 Created: 2017-05-05 Last updated: 2017-11-29Bibliographically approved
Tohidi, Y. & Hesamzadeh, M. R. (2016). A mathematical model for strategic generation expansion planning. In: IEEE Power and Energy Society General Meeting: . Paper presented at 2016 IEEE Power and Energy Society General Meeting, PESGM 2016, 17 July 2016 through 21 July 2016. IEEE
Open this publication in new window or tab >>A mathematical model for strategic generation expansion planning
2016 (English)In: IEEE Power and Energy Society General Meeting, IEEE, 2016Conference paper, Published paper (Refereed)
Abstract [en]

This paper proposes a mathematical model for strategic generation expansion planning problem. The model is developed based on the the simultaneous-move game between Gencos. Gencos investment decisions are passed to the dispatch center which decides about the production level in operating scenarios considered. Using Karush-Kuhn-Tucker conditions (KKTs) and disjunctive linearization, the model is formulated as a mixed-integer linear program (MILP). The concepts of worst Nash equilibrium (WNE) and best Nash equilibrium (BNE) are introduced to handle multiple NE problem. The impact of uncertainty (scenarios) on equilibria band, i.e., the difference between WNE and BNE is discussed. The developed model is simulated on illustrative 2-node and 3-node example systems and also on IEEE-RTS96 test system.

Place, publisher, year, edition, pages
IEEE, 2016
Keywords
Generation planning, Mixed-integer linear program, Nash equilibrium, Computation theory, Game theory, Investments, Generation expansion planning, Generation expansion planning problem, Investment decisions, Karush Kuhn tucker condition, Mixed integer linear program, Nash equilibria, Production level, Integer programming
National Category
Embedded Systems
Identifiers
urn:nbn:se:kth:diva-202147 (URN)10.1109/PESGM.2016.7741960 (DOI)000399937903124 ()2-s2.0-85002141911 (Scopus ID)9781509041688 (ISBN)
Conference
2016 IEEE Power and Energy Society General Meeting, PESGM 2016, 17 July 2016 through 21 July 2016
Note

QC 20170313

Available from: 2017-03-13 Created: 2017-03-13 Last updated: 2017-06-15Bibliographically approved
Tohidi, Y., Olmos, L., Rivier, M. & Hesamzadeh, M. R. (2016). Coordination of Generation and Transmission Development through Generation Transmission Charges: A Game Theoretical Approach. IEEE Transactions on Power Systems
Open this publication in new window or tab >>Coordination of Generation and Transmission Development through Generation Transmission Charges: A Game Theoretical Approach
2016 (English)In: IEEE Transactions on Power Systems, ISSN 0885-8950, E-ISSN 1558-0679Article in journal (Refereed) Epub ahead of print
Abstract [en]

Transmission charges aim to recover the cost of transmission network investments and provide efficient locational signals to new generators. In this paper, we investigate the effect of these charges on the development of new generation capacities in the system. Generation expansion planning is decided by strategic generation planners (SGPs) trying to maximize their profits, while transmission line investments are planned by a central planner and regulatory body aimed at minimizing the overall operation and network investment costs of the system. Regulatory transmission charges (RTCs) are calculated according to the marginal responsibility of generation investment on transmission network investment costs. An iterative algorithm is proposed to model the interaction taking place between the central planner and SGPs. The developed methodology is applied to a 2-node illustrative example and the IEEE-RTS96, and effects of RTCs on investment decisions of SGPs are analyzed.

Place, publisher, year, edition, pages
IEEE, 2016
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-195684 (URN)10.1109/TPWRS.2016.2581218 (DOI)
Note

QC 20170202

Available from: 2016-11-08 Created: 2016-11-08 Last updated: 2017-11-29Bibliographically approved
Tohidi, Y. & Hesamzadeh, M. R. (2016). Multi-regional Transmission Planning as a Non-cooperative Decision-Making. In: 2016 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING (PESGM): . Paper presented at IEEE-Power-and-Energy-Society General Meeting (PESGM), JUL 17-21, 2016, Boston, MA. IEEE
Open this publication in new window or tab >>Multi-regional Transmission Planning as a Non-cooperative Decision-Making
2016 (English)In: 2016 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING (PESGM), IEEE , 2016Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
IEEE, 2016
Series
IEEE Power and Energy Society General Meeting PESGM, ISSN 1944-9925
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-209131 (URN)000399937903128 ()978-1-5090-4168-8 (ISBN)
Conference
IEEE-Power-and-Energy-Society General Meeting (PESGM), JUL 17-21, 2016, Boston, MA
Note

QC 20170615

Available from: 2017-06-15 Created: 2017-06-15 Last updated: 2017-06-15Bibliographically approved
Organisations

Search in DiVA

Show all publications