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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

      , 1 , 2 , 2 , 3 , 1 , 2

      IET Cyber-Physical Systems: Theory & Applications

      The Institution of Engineering and Technology

      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, CO2

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          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 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.

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          Most cited references 12

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          Lithium iron phosphate based battery – Assessment of the aging parameters and development of cycle life model

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            A Two-Stage Model Predictive Control Strategy for Economic Diesel-PV-Battery Island Microgrid Operation in Rural Areas

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              Fuzzy Prediction Interval Models for Forecasting Renewable Resources and Loads in Microgrids

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                Author and article information

                Contributors
                Journal
                IET-CPS
                IET Cyber-Physical Systems: Theory & Applications
                IET Cyber-Phys. Syst., Theory Appl.
                The Institution of Engineering and Technology
                2398-3396
                2398-3396
                28 September 2018
                4 December 2018
                December 2018
                : 3
                : 4
                : 206-211
                Affiliations
                [1 ] Electrical Engineering Department, Universidade de Lisboa , Instituto Superior Técnico (IST), Lisbon, Portugal
                [2 ] Institute of Mechanical Engineering (IDMEC) , Associated Laboratory for Energy Transports and Aeronautics (LAETA), Lisbon, Portugal
                [3 ] Mechanical Engineering Department, Universidade de Lisboa , Instituto Superior Técnico (IST), Lisbon, Portugal
                Article
                IET-CPS.2018.5037 CPS.2018.5037
                10.1049/iet-cps.2018.5037

                This is an open access article published by the IET under the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/3.0/)

                Page count
                Pages: 0
                Product
                Categories
                Special Issue: Cyber Physical Power Systems: Advanced Intelligent Technologies and Applications

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