RT info:eu-repo/semantics/article
T1 An improved C-DEEPSO algorithm for optimal active-reactive power dispatch in microgrids with electric vehicles
A1 Gil Marcelino, Carolina
A1 Matos Cardoso Leite, Gabriel
A1 Jiménez Fernández, Silvia
A1 Salcedo Sanz, Sancho
K1 Energy efficiency
K1 Optimal power flow
K1 Microgrids
K1 Swarm intelligence
K1 C-DEEPSO
K1 Informática
K1 Computer science
K1 Energías Renovables/Energías Alternativas
K1 Alternative energies
AB In the last years, our society's high energy demand has led to the proposal of novel ways of consuming and producing electricity. In this sense, many countries have encouraged micro generation, including the use of renewable sources such as solar irradiation and wind generation, or considering the insertion of electric vehicles as dispatchable units on the grid. This work addresses the Optimal active&-reactive power dispatch (OARPD) problem (a type of optimal power flow (OPF) task) in microgrids considering electric vehicles. We used the modified IEEE 57 and IEEE 118 bus-systems test scenarios, in which thermoelectric generators were replaced by renewable generators. In particular, under the IEEE 118 bus system, electric vehicles were integrated into the grid. To solve the OARDP problem, we proposed the use and improvement of the Canonical Differential Evolutionary Particle Swarm Optimization (C-DEEPSO) algorithm. For further refinement in the search space, C-DEEPSO relies on local search operators. The results indicated that the proposed improved C-DEEPSO was able to show generation savings (in terms ofmillions of dollars) acting as a dispatch controller against two algorithms based on swarm intelligence.
PB IEEE
SN 2169-3536
YR 2022
FD 2022-09-01
LK http://hdl.handle.net/10017/53116
UL http://hdl.handle.net/10017/53116
LA eng
NO European Commission
DS MINDS@UW
RD 25-abr-2024