TY - JOUR
T1 - Short-Term Reactive Power Planning to Minimize Cost of Energy Losses Considering PV Systems
AU - Alkaabi, Sultan S.
AU - Zeineldin, Hatem H.
AU - Khadkikar, Vinod
N1 - Funding Information:
Manuscript received October 5, 2017; revised January 20, 2018; accepted March 5, 2018. Date of publication March 13, 2018; date of current version April 19, 2019. This work was supported in part by the Masdar Institute of Science and Technology (Khalifa University of Science and Technology), Abu Dhabi, UAE, and in part by the Department of Energy, Abu Dhabi, UAE. Paper no. TSG-01443-2017. (Corresponding author: Sultan S. Alkaabi.) S. S. Alkaabi was with the ECE Department, Masdar Institute, Khalifa University of Science and Technology, Abu Dhabi 54224, UAE. He is now with the Department of Energy, Al Ain Distribution Company, Al Ain 1065, UAE (e-mail: [email protected]).
Funding Information:
This work was supported in part by the Masdar Institute of Science and Technology (Khalifa University of Science and Technology), Abu Dhabi, UAE, and in part by the Department of Energy, Abu Dhabi, UAE. Paper no. TSG-01443-2017.
Publisher Copyright:
© 2010-2012 IEEE.
PY - 2019/5
Y1 - 2019/5
N2 - This paper presents a new planning framework for minimizing the cost of energy losses by utilizing utility/customer-owned photovoltaic (PV) inverters. First, a new reactive power planning model is proposed to minimize the cost of energy losses by determining the optimal investment in PV inverters considering overrating and/or active power limitation. It provides a tool for utility planners to evaluate the options of utilizing PV inverters, where the inverters are utilized to provide a fixed margin of reactive power, as alternative solutions to the conventional capacitor banks. Second, based on the proposed model, a new planning approach is introduced to cope with the ever increasing renewable energy integration by considering the changing-scenarios of PV installations in terms of numbers, locations, and sizes. The planning approach provides utility-planners with 'flexible' reactive power support options that can change 'adaptively' according to any new connection of utility/customer PV systems in the network. The proposed planning model is formulated using an optimal power flow-based technique, and tested on 16- and 81-bus distribution systems. The performance is evaluated considering various scenarios and by performing sensitivity analyses. The results show that considerable reductions in energy losses' costs can be achieved using the proposed planning approach.
AB - This paper presents a new planning framework for minimizing the cost of energy losses by utilizing utility/customer-owned photovoltaic (PV) inverters. First, a new reactive power planning model is proposed to minimize the cost of energy losses by determining the optimal investment in PV inverters considering overrating and/or active power limitation. It provides a tool for utility planners to evaluate the options of utilizing PV inverters, where the inverters are utilized to provide a fixed margin of reactive power, as alternative solutions to the conventional capacitor banks. Second, based on the proposed model, a new planning approach is introduced to cope with the ever increasing renewable energy integration by considering the changing-scenarios of PV installations in terms of numbers, locations, and sizes. The planning approach provides utility-planners with 'flexible' reactive power support options that can change 'adaptively' according to any new connection of utility/customer PV systems in the network. The proposed planning model is formulated using an optimal power flow-based technique, and tested on 16- and 81-bus distribution systems. The performance is evaluated considering various scenarios and by performing sensitivity analyses. The results show that considerable reductions in energy losses' costs can be achieved using the proposed planning approach.
KW - Energy losses
KW - photovoltaic power systems
KW - power system planning
KW - reactive power planning
UR - https://www.scopus.com/pages/publications/85043756929
U2 - 10.1109/TSG.2018.2815434
DO - 10.1109/TSG.2018.2815434
M3 - Article
AN - SCOPUS:85043756929
SN - 1949-3053
VL - 10
SP - 2923
EP - 2935
JO - IEEE Transactions on Smart Grid
JF - IEEE Transactions on Smart Grid
IS - 3
M1 - 8315144
ER -