Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/27285
Title: Optimal decision making model for GENCO under the Emission Trading Scheme
Authors: Li, XR
Yu, CW
Luo, FJ
Ren, SR
Dong, ZY
Wu, Y
Meng, K
Wong, KP
Xu, Y
Keywords: Carbon Market
Differential Evolution(DE)
Electricity market
Emission Trading Schemes (ETS)
Issue Date: 2012
Publisher: IEEE
Source: 2012 IEEE Power and Energy Society General Meeting, 22-26 July 2012, San Diego, CA, p. 1-7 How to cite?
Abstract: Emission Trading Schemes (ETS) has been implemented in electricity industrial activities. A large number of existing and potential GENCO are subject to ETS and targeted for emission reduction. A dynamic decision making model is proposed to deal with the multimarket trading problem for GENCO. During each trading period, the operation of GENCO is divided into production process and trading process. These two processes are considered dynamic and stochastic so that the results of decision making are given process by process for each planning period. To solve the multi-period stochastic optimization problem, Differential Evolution (DE) algorithm is adopted to give the results of each period. Comparisons between different scenarios show that the proposed model can provide good tradeoff between profit-making and emission reduction.
URI: http://hdl.handle.net/10397/27285
ISBN: 978-1-4673-2727-5
978-1-4673-2728-2 (E-ISBN)
ISSN: 1944-9925
DOI: 10.1109/PESGM.2012.6345267
Appears in Collections:Conference Paper

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