Real-time management solutions for a smart polygeneration microgrid
作者： Iacopo Rossi , Larry Banta , Alessandra Cuneo , Mario Luigi Ferrari , Alberto Nicola Traverso
DOI: 10.1016/J.ENCONMAN.2015.12.026
关键词: Model predictive control 、 Reliability engineering 、 Smart grid 、 Cogeneration 、 Microgrid 、 Distributed generation 、 Control engineering 、 Renewable energy 、 Dispatchable generation 、 Energy storage 、 Engineering
摘要: Abstract In recent years, many different concepts to manage smart distributed systems were proposed and solutions developed. Smart grids the increasing influence of renewable sources on energy production lead concerns about grid stability load balance. Combined Heat Power (CHP) generators coupled with solar or other offer opportunity satisfy both electric thermal power economically. Both demand supply change continuously, such as wind are not dispatchable accurately predictable. At same time, it is essential use most efficient cost effective demand. This problem has been studied at University Genoa (UNIGE), Italy, using storage device that can consumer buildings. Here formulated a constrained Multi-Input Multi-Output (MIMO) sometimes conflicting requests must be satisfied. The results come from experiments carried out test rig located Innovative Energy System Laboratories (IESL) Thermochemical Group (TPG) UNIGE. paper compares three control approaches generation system: Simplified Management Control (SMC), Model Predictive (MPC), Multi-Commodity Matcher (MCM). their actions evaluated through economic performance key indicators.
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