Distributed predictive control for frequency and voltage regulation in microgrids
Distributed secondary control in microgrids requires the information sharing among neighboring controllers; therefore, the microgrid performance is affected by the communication network phenomena. This thesis proposes two distributed predictive controllers on the secondary control level of microgrid...
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| Tipo de recurso: | tesis doctoral |
| Estado: | Versión publicada |
| Fecha de publicación: | 2020 |
| País: | Chile |
| OAI Identifier: | oai:repositorio.anid.cl:10533/246043 |
| Acceso en línea: | https://hdl.handle.net/10533/246043 |
| Access Level: | acceso abierto |
| Palabra clave: | Ingeniería y Tecnología Ingeniería Eléctrica, Ingeniería Electrónica, Informática Ingeniería Eléctrica y Electrónica |
| Sumario: | Distributed secondary control in microgrids requires the information sharing among neighboring controllers; therefore, the microgrid performance is affected by the communication network phenomena. This thesis proposes two distributed predictive controllers on the secondary control level of microgrids; where the proposed prediction models are based on droop and power transfer equations, but communication features such as connectivity and latency are also included, thus making the proposed controllers tolerant to electrical and communication failures. The first proposed scheme is focused only on frequency regulation and active power consensus among the microgrid DGs, whereas the second approach adds voltage regulation and reactive power consensus as control objectives, regarding that all these variables are codependent in the microgrid. Both schemes include operative constraints in order to ensure the optimization feasibility. The experimental results show that the proposed scheme (i) responds properly to load variations, working within operating constraints such as generation capacity and voltage range; (ii) preserves the control objectives when a power unit is disconnected and reconnected without any user updating in the controllers; and (iii) compensates the effects of communication issues over the microgrid dynamics. |
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