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
Main Authors: Mashhour, E, Moghaddas-Tafreshi, S M
Format: Journal Article
Language:English
Published: New York IEEE 01.05.2011
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN:0885-8950, 1558-0679
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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).
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
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  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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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
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