TY - GEN
T1 - A Hybrid Optimization Method for Distribution System Expansion Planning with Lithium-ion Battery Energy Storage Systems
AU - Trpovski, Andrej
AU - Banerjee, Prateek
AU - Xu, Yan
AU - Hamacher, Thomas
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/11/23
Y1 - 2020/11/23
N2 - The accelerating trend of mobility electrification and the constantly increasing accessibility of distributed energy resources (DERs) play an important role in the changing landscape of the modern power system. To maintain the reliability and continuity of supply under the newly encountered EV charging demand, it is a necessity for the planning engineers to use economically viable planning strategies. Traditionally, the expansion of the distribution system, is accomplished using additional lines, cables, transformers, switchgear, or substations. Modern expansion planning is further advanced to consider widespread use of centralized and/or distributed energy storage systems due to their cost competitiveness. In this paper, a robust distribution system expansion planning approach for a combined installation of new lines and energy storage systems is proposed. A hybrid optimization method using a meta-heuristic Genetic Algorithm (GA) and a mixed integer quadratically constrained program (MIQCP) is defined. The solution encompasses a cost-effective line expansion strategy combined with the placement of new energy storage systems and their optimal sizing. The proposed model is tested on a modified 45 bus case study of a Singaporean synthetic grid model. The results are shown and analyzed to conclude the benefits of using energy storage systems as an additional strategy in the expansion planning approach.
AB - The accelerating trend of mobility electrification and the constantly increasing accessibility of distributed energy resources (DERs) play an important role in the changing landscape of the modern power system. To maintain the reliability and continuity of supply under the newly encountered EV charging demand, it is a necessity for the planning engineers to use economically viable planning strategies. Traditionally, the expansion of the distribution system, is accomplished using additional lines, cables, transformers, switchgear, or substations. Modern expansion planning is further advanced to consider widespread use of centralized and/or distributed energy storage systems due to their cost competitiveness. In this paper, a robust distribution system expansion planning approach for a combined installation of new lines and energy storage systems is proposed. A hybrid optimization method using a meta-heuristic Genetic Algorithm (GA) and a mixed integer quadratically constrained program (MIQCP) is defined. The solution encompasses a cost-effective line expansion strategy combined with the placement of new energy storage systems and their optimal sizing. The proposed model is tested on a modified 45 bus case study of a Singaporean synthetic grid model. The results are shown and analyzed to conclude the benefits of using energy storage systems as an additional strategy in the expansion planning approach.
KW - Distribution System
KW - Energy Storage System
KW - Genetic Algorithm
KW - Hybrid Optimization
KW - Mixed Integer Programming
KW - Power System Planning
KW - Second Order Cone
UR - http://www.scopus.com/inward/record.url?scp=85102032354&partnerID=8YFLogxK
U2 - 10.1109/iSPEC50848.2020.9351208
DO - 10.1109/iSPEC50848.2020.9351208
M3 - Conference contribution
AN - SCOPUS:85102032354
T3 - iSPEC 2020 - Proceedings: IEEE Sustainable Power and Energy Conference: Energy Transition and Energy Internet
SP - 2015
EP - 2021
BT - iSPEC 2020 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE Sustainable Power and Energy Conference, iSPEC 2020
Y2 - 23 November 2020 through 25 November 2020
ER -
