Optimized Exploitation of Ancillary Services: Compensation of Reactive, Unbalance and Harmonic Currents Based on Particle Swarm Optimization
Taking into account the growth of distributed generation systems in low-voltage networks, it is important to fully exploit the energy resources and their embedded power converter. Thus, this paper proposes an optimization strategy for controlling the multifunctional inverter endowed in the distribut...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2021 |
| País: | Brasil |
| Institución: | Universidade Estadual Paulista (UNESP) |
| Repositorio: | Repositório Institucional da UNESP |
| Idioma: | inglés |
| OAI Identifier: | oai:repositorio.unesp.br:11449/208733 |
| Acceso en línea: | http://dx.doi.org/10.1109/TLA.2021.9443074 http://hdl.handle.net/11449/208733 |
| Access Level: | acceso abierto |
| Palabra clave: | Ancillary services Conservative Power Theory Optimization Particle Swarm Optimization Power Quality |
| Sumario: | Taking into account the growth of distributed generation systems in low-voltage networks, it is important to fully exploit the energy resources and their embedded power converter. Thus, this paper proposes an optimization strategy for controlling the multifunctional inverter endowed in the distributed generator. Such approach allows maximum exploitation of its power capabilities under condition of high active power generation, and limited capability for performing ancillary services. Consequently, grid-support functions can be efficiently provided by the inverter, enhancing the power quality in low-voltage grids. The proposed approach is based on Particle Swarm Optimization and takes advantage of definitions from the Conservative Power Theory to synthesize the control references for the compensation of reactive power, as well as unbalance and harmonic distortion currents. Simulation results performed using Matlab/Simulink are presented to evaluate the optimization model for a three-phase system. |
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