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Model Predictive Control for Microgrids: From power electronic converters to energy management

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Author(s): Jiefeng Hu 1 ; Josep Guerrero 2 ; Syed Islam 3
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Publication Year: 2021

Microgrids have emerged as a promising solution for accommodating the integration of renewable energy resources. But the intermittency of renewable generation is posing challenges such as voltage/frequency fluctuations, and grid stability issues in grid-connected modes. Model predictive control (MPC) is a method for controlling a process while satisfying a set of constraints. It has been in use for chemical plants and in oil refineries since the 1980s, but in recent years has been deployed for power systems and electronics as well. This concise work for researchers, engineers and graduate students focuses on the use of MPC for distributed renewable power generation in microgrids. Fluctuating outputs from renewable energy sources and variable load demands are covered, as are control design concepts. The authors provide examples and case studies to validate the theory with both simulation and experimental results and review the shortcomings and future developments. Chapters treat power electronic converters and control; modelling and hierarchical control of microgrids; use of MPC for PV and wind power; voltage support; parallel PV-ESS microgrids; secondary restoration capability; and tertiary power flow optimization.

Inspec keywords: power grids; renewable energy sources; power control; power electronics; DC-DC power convertors; predictive control; invertors; photovoltaic power systems; distribution networks; distributed power generation

Other keywords: power electronics converter; microgrids; power control; invertors; power grids; distribution networks; distributed power generation; photovoltaic power systems; model predictive control; energy management; DC-DC power convertors; renewable energy sources

Subjects: Solar power stations and photovoltaic power systems; General electrical engineering topics; Power convertors and power supplies to apparatus; Optimal control; Control of electric power systems; Power electronics, supply and supervisory circuits; Distribution networks; Distributed power generation; Power and energy control; General and management topics

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