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Predictive control model to manage power flow on a hybrid wind‐photovoltaic and diesel microgeneration power plant with additional storage capacity

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 CO2 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.
- Instituto Superior de Espinho Portugal
Computer engineering. Computer hardware, power generation control, diesel-electric generators, numerical analysis, battery storage plants, power system management, wind power plants, CO(2), hybrid wind-photovoltaic power plant, lithium compounds, fossil power, model predictive control model, secondary cells, TK7885-7895, wind turbine, wind turbines, numerical evaluation, power storage capacity, weather predictions, power generation economics, photovoltaic power systems, carbon compounds, power generation dispatch, photovoltaic array, QA75.5-76.95, renewable resources, power system economics, power dispatch decisions, hybrid diesel microgeneration power plant, Electronic computers. Computer science, load flow, hybrid power systems, lithium ion battery bank, power flow management, predictive control
Computer engineering. Computer hardware, power generation control, diesel-electric generators, numerical analysis, battery storage plants, power system management, wind power plants, CO(2), hybrid wind-photovoltaic power plant, lithium compounds, fossil power, model predictive control model, secondary cells, TK7885-7895, wind turbine, wind turbines, numerical evaluation, power storage capacity, weather predictions, power generation economics, photovoltaic power systems, carbon compounds, power generation dispatch, photovoltaic array, QA75.5-76.95, renewable resources, power system economics, power dispatch decisions, hybrid diesel microgeneration power plant, Electronic computers. Computer science, load flow, hybrid power systems, lithium ion battery bank, power flow management, predictive control
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).3 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
