Predictive control model to manage power flow on a hybrid wind-photovoltaic and diesel microgeneration power plant with additional storage capacity
| Autor: | António José Arsénio dos Santos Costa, Duarte Valério, Paulo José da Costa Branco |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
wind turbines
battery storage plants secondary cells predictive control photovoltaic power systems diesel-electric generators hybrid power systems wind power plants load flow power system management power generation control power generation economics lithium compounds numerical analysis power generation dispatch carbon compounds weather predictions fossil power power dispatch decisions lithium ion battery bank power storage capacity power flow management model predictive control model hybrid diesel microgeneration power plant hybrid wind-photovoltaic power plant photovoltaic array wind turbine renewable resources power system economics numerical evaluation CO(2) Computer engineering. Computer hardware TK7885-7895 Electronic computers. Computer science QA75.5-76.95 |
| Zdroj: | IET Cyber-Physical Systems (2018) |
| Druh dokumentu: | article |
| ISSN: | 2398-3396 |
| DOI: | 10.1049/iet-cps.2018.5037 |
| Popis: | This study proposes and evaluates a predictive control model for the management of the power flow in a hybrid microgeneration power plant with additional storage capacity. The plant integrates a photovoltaic array, a wind turbine, a diesel generator, and a lithium ion battery bank. One objective of the proposed predictive control model is to maximise the use of power from renewable resources looking for the weather predictions and thus minimise the use of fossil power from the diesel generator and corresponding CO(2) emissions. Another aim is to maximise the duration of lithium ion batteries, since extending their lifetime is crucial for the system's economic viability, and since battery disposal brings environmental concerns as well. A numerical evaluation is performed about the evolution of power dispatch decisions and of the batteries state of charge, depending on the available power storage capacity. Model predictive control proves to be a suitable strategy in this system. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
|
Plný text