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IET Cyber-Physical Systems
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IET Cyber-Physical Systems
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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

Authors: António José Arsénio dos Santos Costa; Duarte Valério; Duarte Valério; Paulo José da Costa Branco;

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

Abstract

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.

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Keywords

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

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    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.
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    influence
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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
gold