Zagazig University Digital Repository
Home
Thesis & Publications
All Contents
Publications
Thesis
Graduation Projects
Research Area
Research Area Reports
Search by Research Area
Universities Thesis
ACADEMIC Links
ACADEMIC RESEARCH
Zagazig University Authors
Africa Research Statistics
Google Scholar
Research Gate
Researcher ID
CrossRef
Design and implementation of a Real-time energy management system for an isolated Microgrid: Experimental validation
Faculty
Engineering
Year:
2022
Type of Publication:
ZU Hosted
Pages:
120105
Authors:
Staff Zu Site
Abstract In Staff Site
Journal:
Applied Energy Elsevier
Volume:
327
Keywords :
Design , implementation , , Real-time energy management system
Abstract:
This paper deals with the feasibility of power flow management for a hybrid renewable energy system and its impact on reducing energy losses and increasing the reliability of the microgrid. The integration of multi-renewable energy sources leads to techno-economic challenges such as power quality, voltage stability, and microgrid efficiency. A hardware prototype for a real-time EMS that automatically selects the appropriate power source to feed load, whether from the three main sources (wind, fuel cells, and PV) or the backup sources (batteries and electric vehicle) is implemented and experimentally Validated. The proposed smart EMS is implemented using the Altera Cyclone IV EP4CE6 FPGA Board. FPGA is a highly flexible and reprogrammable logic device that will make it easier for consumers to implement future smart EMS with different scenarios according to needs and the type of household loads. Analog to digital converter (ADC) is responsible for the communication between the FPGA board and the voltage and current sensors. Smart EMS simulation model is implemented using the /. The results demonstrate the high dynamic response speed and suitability of the FPGA for real-time, more effective and flexible energy management, better voltage stability and longer battery lifetime. Comparing the laboratory results with the simulated results proves the high efficiency in terms of response speed in changes of the sources that feed the load. The results also show the effectiveness of the proposed system, as the percentage of error between the experimental and simulation results does not exceed 3.16%.
Author Related Publications
Department Related Publications
Mohamed Abdelfattah Hessien Anany Refaee, "Steady State Modeling and ANFIS Based Analysis of Self-Excited Induction Generator", Multi-Science Publishing Co. Ltd, 2014
More
Ahmed Mohamed Othman Abdelmaksoud, "Modification of UPFC Circuit to Enhance Dynamics Performance Using Soft Computing Selection", International Journal of Electrical Engineering (IIJEE), 2014
More
Ahmed Mohamed Othman Abdelmaksoud, "A New Optimization Approach for Maximizing the Photovoltaic Panel Power Based on Genetic Algorithm and Lagrange Multiplier Algorithm", Inter. Journal of Photoenergy, 2013
More
Ahmed Mohamed Othman Abdelmaksoud, "A New Evolutionary Algorithm for the Optimal Sizing of Stand-Alone Photovoltaic System Based on Genetic Algorithm", International Review of Electrical Engineering (IREE), 2013
More
Ahmed Fathy Mohamed Ali Ali, "Comparison among various energy management strategies for reducing hydrogen consumption in a hybrid fuel cell/supercapacitor/battery system", Elsevier, 2019
More
جامعة المنصورة
جامعة الاسكندرية
جامعة القاهرة
جامعة سوهاج
جامعة الفيوم
جامعة بنها
جامعة دمياط
جامعة بورسعيد
جامعة حلوان
جامعة السويس
شراقوة
جامعة المنيا
جامعة دمنهور
جامعة المنوفية
جامعة أسوان
جامعة جنوب الوادى
جامعة قناة السويس
جامعة عين شمس
جامعة أسيوط
جامعة كفر الشيخ
جامعة السادات
جامعة طنطا
جامعة بنى سويف