scholarly journals A fuzzy logic energy management system of on-grid electrical system for residential prosumbers

2022 ◽  
Vol 202 ◽  
pp. 107621
Author(s):  
Pantelis Dimitroulis ◽  
Miltiadis Alamaniotis
Keyword(s):  
Fuzzy Logic ◽  
Energy Management ◽  
Management System ◽  
Energy Management System ◽  
Electrical System

scholarly journals Energy Management System Connected for Microgrid using Fuzzy Logic Algorithm

2019 ◽  
Vol 8 (2S11) ◽  
pp. 2522-2527
Keyword(s):  
Fuzzy Logic ◽  
Energy Management ◽  
Management System ◽  
Power Sharing ◽  
Control Procedure ◽  
Energy Management System ◽  
Energy Control ◽  
Fuzzy Logic Algorithm ◽  
Points Of Interest ◽  
Suggested Technique

In this paper, energy control procedure is designed for the lattice associated combined energy stockpiling with the cell and the supercapacitor under various working ways. The primary points of interest in the recommended EMS are efficacious power sharing among the different energy stockpiling system. The viability of the suggested technique are supported by both simulation and trail studies.

scholarly journals Multi-Objective Fuzzy Logic-Based Energy Management System for Microgrids with Battery and Hydrogen Energy Storage System

Electronics ◽  
2020 ◽  
Vol 9 (7) ◽  
pp. 1074 ◽  
Author(s):  
Francisco José Vivas ◽  
Francisca Segura ◽  
José Manuel Andújar ◽  
Adriana Palacio ◽  
Jaime Luis Saenz ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Energy Storage ◽  
Energy Management ◽  
Management System ◽  
Storage System ◽  
Energy Storage System ◽  
Energy Management System ◽  
Hydrogen Energy ◽  
Economic Point ◽  
Load Demand

This paper proposes a fuzzy logic-based energy management system (EMS) for microgrids with a combined battery and hydrogen energy storage system (ESS), which ensures the power balance according to the load demand at the time that it takes into account the improvement of the microgrid performance from a technical and economic point of view. As is known, renewable energy-based microgrids are receiving increasing interest in the research community, since they play a key role in the challenge of designing the next energy transition model. The integration of ESSs allows the absorption of the energy surplus in the microgrid to ensure power supply if the renewable resource is insufficient and the microgrid is isolated. If the microgrid can be connected to the main power grid, the freedom degrees increase and this allows, among other things, diminishment of the ESS size. Planning the operation of renewable sources-based microgrids requires both an efficient dispatching management between the available and the demanded energy and a reliable forecasting tool. The developed EMS is based on a fuzzy logic controller (FLC), which presents different advantages regarding other controllers: It is not necessary to know the model of the plant, and the linguistic rules that make up its inference engine are easily interpretable. These rules can incorporate expert knowledge, which simplifies the microgrid management, generally complex. The developed EMS has been subjected to a stress test that has demonstrated its excellent behavior. For that, a residential-type profile in an actual microgrid has been used. The developed fuzzy logic-based EMS, in addition to responding to the required load demand, can meet both technical (to prolong the devices’ lifespan) and economic (seeking the highest profitability and efficiency) established criteria, which can be introduced by the expert depending on the microgrid characteristic and profile demand to accomplish.

Fuzzy Logic Energy Management System in Islanded Hybrid Energy Generation Microgrid

2018 ◽  
Author(s):  
Bruna Peixoto De Souza ◽  
Vetor Seger Zeni ◽  
Everthon Taghori Sica ◽  
Cesare Quinteiro Pica ◽  
Mauricio Varassim Hernandes
Keyword(s):  
Fuzzy Logic ◽  
Energy Management ◽  
Management System ◽  
Energy Generation ◽  
Energy Management System ◽  
Hybrid Energy
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