Energy Bill Reduction by Optimizing Both Active and Reactive Power in an Electrical Microgrid
| Autor: | H. Ouadi, Anis Boulal, Houssam Eddine Chakir, M'Hamed Drissi |
|---|---|
| Přispěvatelé: | Institut d'Électronique et des Technologies du numéRique (IETR), Nantes Université (NU)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), University Hassan II [Casablanca], Université Mohammed V de Rabat [Agdal], Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Université Mohammed V de Rabat [Agdal] (UM5), Université de Nantes (UN)-Université de Rennes 1 (UR1) |
| Rok vydání: | 2020 |
| Předmět: |
Power management
Optimal Power Flow Dynamic Programming Microgrid Computer science business.industry Bellman Algorithm 020208 electrical & electronic engineering Photovoltaic system Distributed Generation Control engineering 02 engineering and technology AC power Grid 7. Clean energy Energy storage Dynamic programming [SPI]Engineering Sciences [physics] Distributed generation 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering business |
| Zdroj: | International Review of Electrical Engineering International Review of Electrical Engineering, Praise Worthy Prize, 2020, 15 (6), pp.456-464. ⟨10.15866/iree.v15i6.17909⟩ International Review of Electrical Engineering, 2020, 15 (6), pp.456-464. ⟨10.15866/iree.v15i6.17909⟩ |
| ISSN: | 2533-2244 1827-6660 |
| Popis: | International audience; – The aim of this paper is to develop tools for the Optimal Power Flow Management Control (OPFMC) in a microgrid (MG). It consists of a photovoltaic system, an energy storage system, a gas turbine, and a main grid (energy exchange). Unlike the conventional approaches, which are limited to the distribution of the active power, this paper relies on an electrical modeling system in order to coordinate and to optimize both the active and the reactive power flow using discrete controls. The proposed optimal power management strategy has two objectives: (i) it aims at forecasting, over a time horizon of 24-hours, the optimal distribution of the active and the reactive power required for each power source connected to the microgrid. The proposed management incorporates the consumption forecasts, the weather, and the tariffs; (ii) it aims at reducing the solicitation of the main grid while taking into consideration the requested reactive power. This is done by using dynamic programming based on Bellman algorithm. Such management has been tested by simulation in a Matlab/Simulink environment and its performance has been compared to the conventional management strategy. Copyright © 2020 Praise Worthy Prize S.r.l.-All rights reserved. © 2020 Praise Worthy Prize S.r.l.-All rights reserved. |
| Databáze: | OpenAIRE |
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