TY - JOUR
T1 - A hierarchical scheme for utilizing plug-in electric vehicle power to hedge against wind-induced unit ramp cycling operations
AU - Luo, Xiao
AU - Xia, Shiwei
AU - Chan, Ka Wing
AU - Lu, Xi
N1 - Funding Information:
The authors gratefully acknowledge the support of the Hong Kong Polytechnic University under Project G-UA3Z, and the Hong Kong Polytechnic University Research Studentships awarded to Dr. X. Luo, Dr. S. W. Xia, and Mr. X. Lu for their research study.
Publisher Copyright:
© 2017 IEEE.
PY - 2018/1
Y1 - 2018/1
N2 - 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 plugin 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 inWP forecasts, and then the PEV power is scheduled to reshape the NLVR so as to minimize theURC 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 overscheduled 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.
AB - 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 plugin 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 inWP forecasts, and then the PEV power is scheduled to reshape the NLVR so as to minimize theURC 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 overscheduled 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.
KW - Plug-in electric vehicles
KW - Terms-Hierarchical scheme
KW - Unit ramp cycling operations
KW - Wind power
UR - http://www.scopus.com/inward/record.url?scp=85069630953&partnerID=8YFLogxK
U2 - 10.1109/TPWRS.2017.2696540
DO - 10.1109/TPWRS.2017.2696540
M3 - Journal article
AN - SCOPUS:85069630953
SN - 0885-8950
VL - 33
SP - 55
EP - 69
JO - IEEE Transactions on Power Systems
JF - IEEE Transactions on Power Systems
IS - 1
M1 - 2696540
ER -