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

This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)
Received 02/02/2018, Accepted 27/09/2018, Revised 08/07/2018, Published 28/09/2018

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.

Inspec keywords: predictive control; diesel-electric generators; power generation control; power generation dispatch; carbon compounds; battery storage plants; load flow; numerical analysis; photovoltaic power systems; wind power plants; secondary cells; lithium compounds; power generation economics; hybrid power systems; wind turbines; power system management

Other keywords: wind turbine; power dispatch decisions; hybrid wind-photovoltaic power plant; CO2; power system economics; fossil power; photovoltaic array; power storage capacity; weather predictions; hybrid diesel microgeneration power plant; model predictive control model; lithium ion battery bank; numerical evaluation; power flow management; renewable resources

Subjects: Other numerical methods; Power system control; Optimal control; Wind power plants; Diesel power stations and plants; Power system management, operation and economics; Control of electric power systems; Other numerical methods; Solar power stations and photovoltaic power systems; Secondary cells

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