TY - JOUR
T1 - A new formulation of distribution network reconfiguration for reducing the voltage volatility induced by distributed generation
AU - Song, Yue
AU - Zheng, Yu
AU - Liu, Tao
AU - Lei, Shunbo
AU - Hill, David J.
N1 - Funding Information:
Manuscript received December 15, 2018; revised May 14, 2019; accepted June 16, 2019. Date of publication July 2, 2019; date of current version January 7, 2020. This work was supported in part by the Hong Kong RGC General Research Fund under Project 17208817, 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, 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-01884-2018. (Corresponding author: Yu Zheng.) Y. Song and T. Liu are with the Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong (e-mail: yuesong@eee. hku.hk; [email protected]).
Publisher Copyright:
© 1969-2012 IEEE.
PY - 2020/1
Y1 - 2020/1
N2 - Volatile voltage profiles in distribution systems caused by the fluctuating nature of renewable distributed generation (DG) are attracting growing concern. In this paper, we develop a new formulation of network reconfiguration to mitigate voltage volatility. It provides new insights into the voltage regulation problem in distribution systems with high renewable penetration, which is commonly addressed by power electronic controllers. From the linear DistFlow equations, we first propose a novel index that measures the voltage volatility of each bus in the system. This index is a function of distribution network parameters that characterizes the role of network structure in voltage volatility. Then, we formulate a new reconfiguration model that minimizes the network loss and restricts the voltage volatility indices with the coordination of switched capacitor banks. A Benders decomposition-based approach is designed to solve the problem using mixed-integer quadratic programming. The simulations on the IEEE 69-bus system show that the reconfiguration scheme is able to: first, minimize network loss when DG outputs are as predicted; and second, significantly reduce the risk of voltage violations when DG outputs deviate from the prediction. The proposed formulation unleashes the distinctive power of network reconfiguration in reducing voltage volatility, by which the cost of power electronic controllers can be saved.
AB - Volatile voltage profiles in distribution systems caused by the fluctuating nature of renewable distributed generation (DG) are attracting growing concern. In this paper, we develop a new formulation of network reconfiguration to mitigate voltage volatility. It provides new insights into the voltage regulation problem in distribution systems with high renewable penetration, which is commonly addressed by power electronic controllers. From the linear DistFlow equations, we first propose a novel index that measures the voltage volatility of each bus in the system. This index is a function of distribution network parameters that characterizes the role of network structure in voltage volatility. Then, we formulate a new reconfiguration model that minimizes the network loss and restricts the voltage volatility indices with the coordination of switched capacitor banks. A Benders decomposition-based approach is designed to solve the problem using mixed-integer quadratic programming. The simulations on the IEEE 69-bus system show that the reconfiguration scheme is able to: first, minimize network loss when DG outputs are as predicted; and second, significantly reduce the risk of voltage violations when DG outputs deviate from the prediction. The proposed formulation unleashes the distinctive power of network reconfiguration in reducing voltage volatility, by which the cost of power electronic controllers can be saved.
KW - distributed generation
KW - Distribution network reconfiguration
KW - linear DistFlow
KW - mixed-integer quadratic programming
KW - voltage volatility
UR - https://www.scopus.com/pages/publications/85078455919
U2 - 10.1109/TPWRS.2019.2926317
DO - 10.1109/TPWRS.2019.2926317
M3 - Article
AN - SCOPUS:85078455919
SN - 0885-8950
VL - 35
SP - 496
EP - 507
JO - IEEE Transactions on Power Systems
JF - IEEE Transactions on Power Systems
IS - 1
ER -