Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/79790
Title: A hierarchical scheme for utilizing plug-in electric vehicle power to hedge against wind-induced unit ramp cycling operations
Authors: Luo, X 
Xia, SW 
Chan, KW 
Lu, X 
Keywords: Hierarchical scheme
Plug-in electric vehicles
Unit ramp cycling operations
Wind power
Issue Date: 2018
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on power systems, Jan. 2018, v. 33, no. 1, p. 55-69 How to cite?
Journal: IEEE transactions on power systems 
Abstract: Increasing wind power (WP) integration is forcing conventional units to go through more frequent and significant cycling operations, whichwould accelerate wear and tear to unit components and eventually affect the unit's lifespan. In this context, this paper proposes a hierarchical scheme to control the power of plug-in electric vehicles (PEVs) to mitigate unit ramp cycling (URC) operations. A general-form representation of the URC operation is proposed for the first time. At the top level of the hierarchical scheme, a system net load variation range (NLVR) is constructed first to capture the uncertainty in WP forecasts, and then the PEV power is scheduled to reshape the NLVR so as to minimize the URC operations that can be caused by the possible net load realizations in the NLVR. Based on updated WP forecasts, the middle-level dispatch model exempts over scheduled anti-URC regulation onus on PEVs to promote PEV charging. At the bottom level, a decentralized PEV charging control strategy is used to implement the PEV power dispatch instruction. Simulation results verify that the proposed scheme can avert the URC operations effectively, while preserve most of the desired PEV charging energy. Simulation results also show that the proposed scheme is more capable of withstanding WP forecast errors compared with its deterministic version and a benchmark scheme.
URI: http://hdl.handle.net/10397/79790
ISSN: 0885-8950
EISSN: 1558-0679
DOI: 10.1109/TPWRS.2017.2696540
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