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Educational Experiments in Renewable Energy Analysis, Forecasting, and Management in Hybrid Power System

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Conference

2013 ASEE Annual Conference & Exposition

Location

Atlanta, Georgia

Publication Date

June 23, 2013

Start Date

June 23, 2013

End Date

June 26, 2013

ISSN

2153-5965

Conference Session

Laboratory Development in ECE I

Tagged Division

Electrical and Computer

Page Count

12

Page Numbers

23.454.1 - 23.454.12

Permanent URL

https://peer.asee.org/19468

Download Count

111

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Paper Authors

biography

Tan Ma Florida International University

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Tan Ma received the M. Eng. degree in control theory and control engineering from Huazhong University of Science and Technology (HUST) in China in 2009 and the Bachelor of Eng. degree in automation from HUST in China in 2007. He is currently pursuing his doctoral degree in electrical engineering at Florida International University.
His research interests include design of plug in electric vehicles (PEVs) smart charging power management algorithms; vehicle to grid and vehicle to vehicle power flow controller design; design of micro grid with renewable energy sources;power system control with high penetration of sustainable energy;design, control and monitoring of hybrid energy storage system.

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biography

Osama A. Mohammed Florida International University

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Dr. Mohammed is a Professor of Electrical Engineering and is the Director of the Energy Systems Research Laboratory at Florida International University, Miami, Florida. He received his Master and Doctoral degrees in Electrical Engineering from Virginia Tech in 1981 and 1983, respectively. He has performed research on various topics in power and energy systems as well as computational electromagnetics and design optimization in electric machines, drive systems and other low frequency environments. He performed multiple research projects for ONR and NAVSEA since 1994 dealing with; power system analysis, physics based modeling, electromagnetic signature, sensorless control, electric machinery, high frequency switching, electromagnetic Interference and shipboard power systems modeling and analysis. Professor Mohammed has currently active research programs in a number of these areas funded by DoD, the US Department of Energy and several industries.
Professor Mohammed has published more than 350 articles in refereed journals and other IEEE refereed International conference records. Professor Mohammed is an elected Fellow of IEEE and is an elected Fellow of the Applied Computational Electromagnetic Society. Professor Mohammed is the recipient of the prestigious IEEE Power and Energy Society Cyril Veinott electromechanical energy conversion award. He is the author of book chapters including; Chapter 8 on direct current machines in the Standard Handbook for Electrical Engineers several in editions including the 15th Edition, McGraw-Hill, 2007 He is also the author of a book Chapter entitled " Optimal Design of Magnetostatic Devices: the genetic Algorithm Approach and System Optimization Strategies," in the Book entitled: Electromagnetic Optimization by Genetic Algorithms, John Wiley & Sons, 1999.
Professor Mohammed Serves as Editor of several IEEE Transactions including the IEEE Transactions on Energy Conversion, the IEEE Transactions on Smart Grid, IEEE Transactions on Magnetics, COMPEL and the IEEE Power Engineering Letters. Professor Mohammed serves as the International Steering Committee Chair for the IEEE International Electric Machines and Drives Conference (IEMDC) and the IEEE Biannual Conference on Electromagnetic Field Computation (CEFC). Professor Mohammed was the General Chair of the 2009 IEEE IEMDC conference held in Miami Florida, May 3-6 2009 and was the Editorial Board Chairman for the IEEE CEFC2010 held in Chicago, IL USA, May 9-12, 2010. Professor Mohammed was also the general chair of the IEEE CEFC 2006 held in Miami, Florida, April 30 – May 3, 2006. He was also general chair of the 19th annual Conference of the Applied Computational Electromagnetic Society ACES-2006 held in Miami, Florida March 14-17, 2006. He was the General Chairman of the 1993 COMPUMAG International Conference and was also the General Chairman of the 1996 IEEE International Conference on Intelligent Systems Applications to Power Systems (ISAP'96) Dr. Mohammed has chaired the Electric Machinery Committee for IEEE PES was the Vice Chair and Technical Committee Program Chair for the IEEE PES Electric Machinery Committee for a number of years. He was a member of the IEEE/Power Engineering Society Governing Board (1992-1996) and was the Chairman of the IEEE Power Engineering Society Constitution and Bylaws committee. He also serves as chairman, officer or as an active member on several IEEE PES committees, sub-committees and technical working groups.

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Ahmed Taha Elsayed Florida International University

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Ahmed Taha Elsayed was born in Qaluobia, Egypt in 1984. He received his B.Sc. and M.Sc. degrees from the Shoubra Faculty of Engineering, Benha University, Egypt in 2006 and 2010 respectively. From 2006 to 2012, he was a research/teaching assistant in the Faculty of Engineering, Benha University. He is currently a research assistant in the Electrical and Computer Engineering Department, College of Engineering and Computing, Florida International University, Miami, Florida, USA. His current research interests are Smart Grids, Renewable energy sources, Smart Operation and Energy Management of Power Systems.
Energy Systems Research Laboratory, Electrical and Computer Engineering Department, College of Electrical and Computer Engineering, Florida.

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Abstract

Educational Experiments in Renewable Energy Analysis, Forecasting, and Management in Hybrid Power SystemAbstractIn this paper, analysis, forecasting and management of the renewable power generated by arenewable energy farm including both solar energy and wind energy will be demonstrated. Thisrenewable energy farm is connected to the utility grid, in order to properly cooperate and balancepower between the load and the distributed energy sources, an accurate power forecasting andmanagement model is built based on the analysis of the existing data of load, solar irradiance andwind speed. Considering realistic factors, a stochastic model of local load, available solar energyand wind energy is proposed. The optimal size of the renewable energy farm is achieved basedon the analysis of the stochastic model. Wavelet and back propagation neural network (BPNN)methods are used to forecast both the available power from the optimized renewable energy farmand local short term load for next period. Based on predicting results, the power managementcontroller will adjust the output power of the distributed energy sources to keep the systemvoltage and frequency in stable. The model is built with Simulink and several other toolboxesfrom Mathworks Corp., such as neural network toolbox, statistics toolbox and fuzzy logictoolbox.Educational aspects:Renewable Energy Analysis, Forecasting, and Management can be used for several experimentsand educational aspects; such as • Long term and short term load forecasting o Load forecasting techniques discussed in this paper is a very good example of the application of BPNN in power system. • Energy data analysis and forecasting o Both wind and solar irradiance historical data are analyzed by using Matlab statistics toolbox. It is a good example of the feasibility analysis of renewable energy farm establishing plan. o Also short term energy forecasting will help students get a deeper understanding of how environment factors influencing the output power of the renewable energy sources. • Maximum power tracking for both solar and wind energy o The concept and mathematic equations of the energy conversation from solar irradiance and wind to electricity power are introduced. o Some popular maximum power point tracking techniques is discussed. • Frequency regulation and stability o The concept of frequency regulation and its importance to power system is introduced. o The approach of keeping the hybrid power system’s frequency stable is proposed.• Application of intelligent techniques to power system. o The model in this article is a good example of application of intelligent techniques such as neural network, fuzzy logic to power system. These intelligent techniques can be used widely in power system from analysis, optimization to smart control and operation.

Ma, T., & Mohammed, O. A., & Elsayed, A. T. (2013, June), Educational Experiments in Renewable Energy Analysis, Forecasting, and Management in Hybrid Power System Paper presented at 2013 ASEE Annual Conference & Exposition, Atlanta, Georgia. https://peer.asee.org/19468

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