TY - JOUR
T1 - Double-layer stochastic model predictive voltage control in active distribution networks with high penetration of renewables
AU - Zhang, Zhengfa
AU - Silva, Filipe Miguel Faria da
AU - Guo, Yifei
AU - Bak, Claus Leth
AU - Chen, Zhe
PY - 2021
Y1 - 2021
N2 - The high penetration of renewable energy into distribution networks poses increasing challenges on voltage control. To address this issue, this paper presents a double-layer stochastic model predictive control algorithm to regulate voltage profile in active distribution networks. In the proposed algorithm, voltage regulation is achieved by coordination of an upper layer controller and a lower layer controller. In the upper layer, the number of operation of mechanical voltage regulation devices, including transformer with on-load tap changer and capacitor banks, is minimized in an hourly timescale. In the lower layer, the controller minimizes the active power curtailments and power losses with a control period of 5 min. The proposed double-layer stochastic model predictive voltage control utilizes not only the reactive power control, but also the active power curtailment to regulate bus voltages. In addition, mechanical voltage regulation devices and distributed generations are controlled in two different timescales. Case studies on a modified IEEE-33 bus system demonstrate that compared with traditional control and two-stage stochastic voltage control, the proposed algorithm can achieve an improvement of 8.05% and 7.43%, respectively.
AB - The high penetration of renewable energy into distribution networks poses increasing challenges on voltage control. To address this issue, this paper presents a double-layer stochastic model predictive control algorithm to regulate voltage profile in active distribution networks. In the proposed algorithm, voltage regulation is achieved by coordination of an upper layer controller and a lower layer controller. In the upper layer, the number of operation of mechanical voltage regulation devices, including transformer with on-load tap changer and capacitor banks, is minimized in an hourly timescale. In the lower layer, the controller minimizes the active power curtailments and power losses with a control period of 5 min. The proposed double-layer stochastic model predictive voltage control utilizes not only the reactive power control, but also the active power curtailment to regulate bus voltages. In addition, mechanical voltage regulation devices and distributed generations are controlled in two different timescales. Case studies on a modified IEEE-33 bus system demonstrate that compared with traditional control and two-stage stochastic voltage control, the proposed algorithm can achieve an improvement of 8.05% and 7.43%, respectively.
KW - Distributed generation
KW - Distribution network
KW - Double-layer control
KW - Stochastic model predictive control
KW - Voltage/var control
UR - http://www.scopus.com/inward/record.url?scp=85112387651&partnerID=8YFLogxK
U2 - 10.1016/j.apenergy.2021.117530
DO - 10.1016/j.apenergy.2021.117530
M3 - Journal article
SN - 0306-2619
VL - 302
JO - Applied Energy
JF - Applied Energy
M1 - 117530
ER -