TY - GEN
T1 - Multi-Area Optimal Power Flow Problem Through Parallel Processing
AU - Do Carmo Yamaguti, Lucas
AU - Home-Ortiz, Juan M.
AU - Pourakbari-Kasmaei, Mahdi
AU - Mantovani, Jose Roberto Sanches
N1 - Funding Information:
This paper was supported in part by the São Paulo Research Foundation (FAPESP) er rants 2019/0u1–G5 1n8d4 and2015/21972–6,npartytheBrazilianNatbiolCoucil nna for cientific nd TechSlogical Daevelopent (CNPq) under nmo Grant 304726/2020–6, and in part by the Coordination for the Improvement of Higher Education Personnel(CAPES) finance code 01. 0
Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The conventional approach to managing the electrical power system (EPS) operation involves a single independent system operator solving the optimal power flow (OPF) problem. However, the reality is that the EPS comprises multiple areas controlled by independent system operators who must ensure the security and privacy of data in the energy market. This work introduces a mixed-integer nonlinear programming model for solving the multi-area OPF problem, enabling independent solution of each area in the EPS system via parallel processing. Validation of the proposed model and solution technique is conducted using the RTS-96 bus system, showcasing satisfactory solutions yielded by the multi-area approach. Additionally, the proposed model is extended and analyzed under a security-constrained approach by solving some contingencies in the system.
AB - The conventional approach to managing the electrical power system (EPS) operation involves a single independent system operator solving the optimal power flow (OPF) problem. However, the reality is that the EPS comprises multiple areas controlled by independent system operators who must ensure the security and privacy of data in the energy market. This work introduces a mixed-integer nonlinear programming model for solving the multi-area OPF problem, enabling independent solution of each area in the EPS system via parallel processing. Validation of the proposed model and solution technique is conducted using the RTS-96 bus system, showcasing satisfactory solutions yielded by the multi-area approach. Additionally, the proposed model is extended and analyzed under a security-constrained approach by solving some contingencies in the system.
KW - Mixed-integer nonlinear programming
KW - multi-area power systems
KW - optimal power flow
KW - parallel processing
UR - http://www.scopus.com/inward/record.url?scp=85168682910&partnerID=8YFLogxK
U2 - 10.1109/EEEIC/ICPSEurope57605.2023.10194619
DO - 10.1109/EEEIC/ICPSEurope57605.2023.10194619
M3 - Conference article in proceedings
AN - SCOPUS:85168682910
T3 - Proceedings - 2023 IEEE International Conference on Environment and Electrical Engineering and 2023 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2023
BT - Proceedings - 2023 IEEE International Conference on Environment and Electrical Engineering and 2023 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2023
A2 - Leonowicz, Zbigniew
PB - IEEE
T2 - IEEE International Conference on Environment and Electrical Engineering and IEEE Industrial and Commercial Power Systems Europe
Y2 - 6 June 2023 through 9 June 2023
ER -
