TY - GEN
T1 - An Uncertainty involved Optimization Model of Renewable Hosting Capacity Enhancement
AU - Xu, Xu
AU - Li, Jiayong
AU - Jia, Youwei
AU - Xu, Zhao
AU - Zhao, Jian
AU - Lyu, Xue
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/8
Y1 - 2019/8
N2 - Renewable hosting capacity normally serves as an important real-time operational index for assessing the capability of accommodating renewables in a distribution network (DN). This paper proposes a two-stage operation model to coordinate energy storage system (ESS) and static var compensator (SVC) to avoid violations of voltage magnitude and line capacity caused by intermittent renewables so as to enhance the renewable hosting capacity. This model comprehensively considers the uncertainties involved in photovoltaic (PV), wind generation and electrical load demand in the first stage and real-time operation states in the second stage. Furthermore, to improve the computational efficiency, a Benders decomposition based solution method is developed to tackle the time-coupling constraints at the first-stage optimization problem. The effectiveness of the proposed model and solution method are demonstrated through case studies on IEEE 33-bus distribution system.
AB - Renewable hosting capacity normally serves as an important real-time operational index for assessing the capability of accommodating renewables in a distribution network (DN). This paper proposes a two-stage operation model to coordinate energy storage system (ESS) and static var compensator (SVC) to avoid violations of voltage magnitude and line capacity caused by intermittent renewables so as to enhance the renewable hosting capacity. This model comprehensively considers the uncertainties involved in photovoltaic (PV), wind generation and electrical load demand in the first stage and real-time operation states in the second stage. Furthermore, to improve the computational efficiency, a Benders decomposition based solution method is developed to tackle the time-coupling constraints at the first-stage optimization problem. The effectiveness of the proposed model and solution method are demonstrated through case studies on IEEE 33-bus distribution system.
KW - Benders decomposition
KW - Renewable hosting capacity
KW - a two-stage operation model
KW - distribution network
KW - uncertainties
UR - http://www.scopus.com/inward/record.url?scp=85079051009&partnerID=8YFLogxK
U2 - 10.1109/PESGM40551.2019.8973497
DO - 10.1109/PESGM40551.2019.8973497
M3 - Conference Proceeding
AN - SCOPUS:85079051009
T3 - IEEE Power and Energy Society General Meeting
BT - 2019 IEEE Power and Energy Society General Meeting, PESGM 2019
PB - IEEE Computer Society
T2 - 2019 IEEE Power and Energy Society General Meeting, PESGM 2019
Y2 - 4 August 2019 through 8 August 2019
ER -