Dispatch strategy of PHEVs to mitigate selected patterns of seasonally varying outputs from renewable generation
Wang, Guibin, Zhao, Junhua, Wen, Fushuan, Zue, Yusheng, & Ledwich, Gerard (2015) Dispatch strategy of PHEVs to mitigate selected patterns of seasonally varying outputs from renewable generation. IEEE Transactions on Smart Grid, 6(2), pp. 627-639.
Rapid development of plug-in hybrid electric vehicles (PHEVs) brings new challenges and opportunities to the power industry. A large number of idle PHEVs can potentially be employed to form a distributed energy storage system for supporting renewable generation. To reduce the negative effects of unsteady renewable generation outputs, a stochastic optimization-based dispatch model capable of handling uncertain outputs of PHEVs and renewable generation is formulated in this paper. The mathematical expectations, second-order original moments, and variances of wind and photovoltaic (PV) generation outputs are derived analytically. Incorporated all the derived uncertainties, a novel generation shifting objective is proposed. The cross-entropy (CE) method is employed to solve this optimal dispatch model. Multiple patterns of renewable generation depending on seasons and renewable market shares are investigated. The feasibility and efficiency of the developed optimal dispatch model, as well as the CE method, are demonstrated with a 33-node distribution system.
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|Item Type:||Journal Article|
|Keywords:||Cross-entropy (CE) method, Photovoltaic power, Plug-in hybrid electric vehicles (PHEVs), Stochastic optimization, Wind power|
|Divisions:||Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2014 IEEE|
|Deposited On:||17 Nov 2014 23:11|
|Last Modified:||25 Feb 2015 01:46|
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