TY - JOUR
T1 - Optimal electric spring allocation for risk-limiting voltage regulation in distribution systems
AU - Zheng, Yu
AU - Hill, David J.
AU - Song, Yue
AU - Zhao, Junhua
AU - Hui, Shu Yuen Ron
N1 - Funding Information:
Manuscript received October 15, 2018; revised April 1, 2019 and May 31, 2019; accepted July 21, 2019. Date of publication August 5, 2019; date of current version January 7, 2020. This work was supported in part by the Hong Kong RGC Theme-based Research Scheme under Project T23-701/14-N, in part by the National Natural Science Foundation of China under Grant 71801021, in part by the Shenzhen Municipal Science and Technology Innovation Committee Basic Research project (JCYJ20170410172224515), and in part by the Training Program of the Major Research Plan of the National Natural Science Foundation of China under Grant 91746118. Paper no. TPWRS-01569-2018. (Corresponding author: Yu Zheng.) Y. Zheng is with the School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410004, China, and also with the Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong (e-mail: [email protected]).
Publisher Copyright:
© 1969-2012 IEEE.
PY - 2020/1
Y1 - 2020/1
N2 - This paper addresses the optimal allocation of the electric spring (ES) smart load device in radial distribution systems for voltage regulation. An ES can transform a connected noncritical load into a smart load providing voltage support and voltage suppression functions. A risk-limiting ES planning method is proposed to obtain the optimal ES configuration (number, locations, capacities, and types) to mitigate the voltage violations caused by uncertainties in renewable distributed generation. The forecasting uncertainties are placed into multi-state discrete levels to reduce scenario numbers. The voltage regulation capability of different types of ES are quantified and compared to determine the optimal allocation model. The optimal ES installation plan is identified as per the minimal total cost and lowest voltage violation risk. The proposed optimal allocation method is validated on a modified IEEE 15-bus distribution network.
AB - This paper addresses the optimal allocation of the electric spring (ES) smart load device in radial distribution systems for voltage regulation. An ES can transform a connected noncritical load into a smart load providing voltage support and voltage suppression functions. A risk-limiting ES planning method is proposed to obtain the optimal ES configuration (number, locations, capacities, and types) to mitigate the voltage violations caused by uncertainties in renewable distributed generation. The forecasting uncertainties are placed into multi-state discrete levels to reduce scenario numbers. The voltage regulation capability of different types of ES are quantified and compared to determine the optimal allocation model. The optimal ES installation plan is identified as per the minimal total cost and lowest voltage violation risk. The proposed optimal allocation method is validated on a modified IEEE 15-bus distribution network.
KW - distribution system
KW - electric spring
KW - Optimal allocation
KW - voltage violation risk
UR - https://www.scopus.com/pages/publications/85078325996
U2 - 10.1109/TPWRS.2019.2933240
DO - 10.1109/TPWRS.2019.2933240
M3 - Article
AN - SCOPUS:85078325996
SN - 0885-8950
VL - 35
SP - 273
EP - 283
JO - IEEE Transactions on Power Systems
JF - IEEE Transactions on Power Systems
IS - 1
ER -
SDG 7 Affordable and Clean Energy