TY - GEN
T1 - Solving the Optimal Active-Reactive Power Dispatch Problem in Smart Grids with the C-DEEPSO Algorithm
AU - Marcelino, Carolina G.
AU - Wanner, Elizabeth F.
AU - Martins, Flavio V.C.
AU - Perez-Aracil, Jorge
AU - Jimenez-Fernandez, Silvia
AU - Salcedo-Sanz, Sancho
PY - 2022/9/6
Y1 - 2022/9/6
N2 - Optimal active-reactive power dispatch problems (OARPD) are considered large scale optimization problems with a high nonlinear complexity. Usually, in OARPD the objective is to minimize the cost of the system operation. In 2018, the IEEE PES committee proposed a competition, the 'Operational planning of sustainable power systems', in which a test bed relating the OARPD and a renewable energy generation challenge within a smart grid was proposed. In this work we consider three test scenarios proposed in that competition. Specifically, we present a hybrid meta-heuristic optimization approach applied to the OARPD, the Canonical Differential Evolutionary Particle Swarm Optimization (C-DEEPSO), to tackle these test scenarios. Comparative results with other algorithms such as CMA-ES, EPSO, and CEEPSO indicate that C-DEEPSO shows a competitive performance when solving the OARPD problems.
AB - Optimal active-reactive power dispatch problems (OARPD) are considered large scale optimization problems with a high nonlinear complexity. Usually, in OARPD the objective is to minimize the cost of the system operation. In 2018, the IEEE PES committee proposed a competition, the 'Operational planning of sustainable power systems', in which a test bed relating the OARPD and a renewable energy generation challenge within a smart grid was proposed. In this work we consider three test scenarios proposed in that competition. Specifically, we present a hybrid meta-heuristic optimization approach applied to the OARPD, the Canonical Differential Evolutionary Particle Swarm Optimization (C-DEEPSO), to tackle these test scenarios. Comparative results with other algorithms such as CMA-ES, EPSO, and CEEPSO indicate that C-DEEPSO shows a competitive performance when solving the OARPD problems.
KW - C-DEEPSO
KW - Evolutionary algorithms
KW - OARPD
KW - Smart Grids
UR - https://ieeexplore.ieee.org/document/9870385
UR - http://www.scopus.com/inward/record.url?scp=85138684448&partnerID=8YFLogxK
U2 - 10.1109/CEC55065.2022.9870385
DO - 10.1109/CEC55065.2022.9870385
M3 - Conference publication
AN - SCOPUS:85138684448
T3 - 2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings
BT - 2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings
PB - IEEE
T2 - 2022 IEEE Congress on Evolutionary Computation, CEC 2022
Y2 - 18 July 2022 through 23 July 2022
ER -