Bidding Strategy of Virtual Power Plant for Participating in Energy and Spinning Reserve Markets-Part I: Problem Formulation
This paper addresses the bidding problem faced by a virtual power plant (VPP) in a joint market of energy and spinning reserve service. The proposed bidding strategy is a non-equilibrium model based on the deterministic price-based unit commitment (PBUC) which takes the supply-demand balancing const...
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| Published in: | IEEE transactions on power systems Vol. 26; no. 2; pp. 949 - 956 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
| Published: |
New York
IEEE
01.05.2011
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects: | |
| ISSN: | 0885-8950, 1558-0679 |
| Online Access: | Get full text |
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| Abstract | This paper addresses the bidding problem faced by a virtual power plant (VPP) in a joint market of energy and spinning reserve service. The proposed bidding strategy is a non-equilibrium model based on the deterministic price-based unit commitment (PBUC) which takes the supply-demand balancing constraint and security constraints of VPP itself into account. The presented model creates a single operating profile from a composite of the parameters characterizing each distributed energy resources (DER), which is a component of VPP, and incorporates network constraints into its description of the capabilities of the portfolio. The presented model is a nonlinear mixed-integer programming with inter-temporal constraints and solved by genetic algorithm (GA). |
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| AbstractList | This paper addresses the bidding problem faced by a virtual power plant (VPP) in a joint market of energy and spinning reserve service. The proposed bidding strategy is a non-equilibrium model based on the deterministic price-based unit commitment (PBUC) which takes the supply-demand balancing constraint and security constraints of VPP itself into account. The presented model creates a single operating profile from a composite of the parameters characterizing each distributed energy resources (DER), which is a component of VPP, and incorporates network constraints into its description of the capabilities of the portfolio. The presented model is a nonlinear mixed-integer programming with inter-temporal constraints and solved by genetic algorithm (GA). |
| Author | Mashhour, E Moghaddas-Tafreshi, S M |
| Author_xml | – sequence: 1 givenname: E surname: Mashhour fullname: Mashhour, E email: ma_el@ee.kntu.ac.ir organization: Fac. of Electr. Eng., K.N. Toosi Univ. of Technol., Tehran, Iran – sequence: 2 givenname: S M surname: Moghaddas-Tafreshi fullname: Moghaddas-Tafreshi, S M email: tafreshi@eetd.kntu.ac.ir organization: Fac. of Electr. Eng., K.N. Toosi Univ. of Technol., Tehran, Iran |
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| CODEN | ITPSEG |
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| Snippet | This paper addresses the bidding problem faced by a virtual power plant (VPP) in a joint market of energy and spinning reserve service. The proposed bidding... |
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| SubjectTerms | Bidding strategy Computational modeling Density estimation robust algorithm Electricity energy market Europe Portfolios Power generation Spinning spinning reserve market virtual power plant |
| Title | Bidding Strategy of Virtual Power Plant for Participating in Energy and Spinning Reserve Markets-Part I: Problem Formulation |
| URI | https://ieeexplore.ieee.org/document/5582225 https://www.proquest.com/docview/863357519 |
| Volume | 26 |
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