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Applications of AI and IOT in Renewable Energy [Mīkstie vāki]

Edited by (Assistant Professor, Department of Robotics Engineering, Neotia University, India), Edited by (Professor, Department of Electrical Engineering, University of M), Edited by (Facutly Member, Department of Electrical Engineering, Galgotias University, India), Edited by
  • Formāts: Paperback / softback, 246 pages, height x width: 229x152 mm, weight: 410 g
  • Izdošanas datums: 14-Feb-2022
  • Izdevniecība: Academic Press Inc
  • ISBN-10: 0323916996
  • ISBN-13: 9780323916998
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Applications of AI and IOT in Renewable EnergyPalielināt
  • Formāts: Paperback / softback, 246 pages, height x width: 229x152 mm, weight: 410 g
  • Izdošanas datums: 14-Feb-2022
  • Izdevniecība: Academic Press Inc
  • ISBN-10: 0323916996
  • ISBN-13: 9780323916998
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9780323916998.html
Keywords:

Applications of AI and IOT in Renewable Energy provides a future vision of unexplored areas and applications for Artificial Intelligence and Internet of Things in sustainable energy systems. The ideas presented in this book are backed up by original, unpublished technical research results covering topics like smart solar energy systems, intelligent dc motors and energy efficiency study of electric vehicles. In all these areas and more, applications of artificial intelligence methods, including artificial neural networks, genetic algorithms, fuzzy logic and a combination of the above in hybrid systems are included.

This book is designed to assist with developing low cost, smart and efficient solutions for renewable energy systems and is intended for researchers, academics and industrial communities engaged in the study and performance prediction of renewable energy systems.

  • Includes future applications of AI and IOT in renewable energy
  • Based on case studies to give each chapter real-life context
  • Provides advances in renewable energy using AI and IOT with technical detail and data
List of contributors
xi
1 Machine learning algorithms used for short-term PV solar irradiation and temperature forecasting at microgrid
1(1)
Younes Zahraoui
Ibrahim Alhamrouni
Saad Mekhilef
M. Reyasudin Basir Khan
1.1 Introduction
1(2)
1.2 Proposed work
3(1)
1.2.1 Overview
3(3)
1.2.2 Different approaches
6(3)
1.2.3 Forecasting accuracy evaluation and validation
9(1)
1.2.4 Data creation
10(1)
1.3 Simulation results and comparison
11(3)
1.3.1 Recommendation section
13(1)
1.4 Conclusion
14(1)
References
15(4)
2 Generators' revenue augmentation in highly penetrated renewable M2M coordinated power systems
19(14)
Deepak Yadav
Saad Mekhilef
Brijesh Singh
Muhyaddin Rawa
Yusuf Alturki
Abdullah Abusorrah
2.1 Introduction
19(2)
2.2 Problem formulation
21(1)
2.2.1 Locational marginal prices expression
22(1)
2.3 Algorithm
22(1)
2.4 Interior-point technique and KKT condition
23(2)
2.4.1 Karush---Kuhn--- Tucker conditions
24(1)
2.4.2 Solution algorithm
24(1)
2.5 Test results and discussion
25(5)
2.6 Conclusion
30(1)
References
30(3)
3 Intelligent supervisory energy-based speed control for grid-connected tidal renewable energy system for efficiency maximization
33(24)
Youcef Belkhier
Mohamed Dahman Alshehri
Rabindra Nath Shaw
3.1 Introduction
33(3)
3.2 Marine current conversion system modeling
36(2)
3.2.1 Tidal turbine model
36(1)
3.2.2 Permanent magnet synchronous generator modeling
37(1)
3.3 Control of the permanent magnet synchronous generator using passivity method
38(4)
3.3.1 Permanent magnet synchronous generator dq-model interconnected subsystems decomposition
39(1)
3.3.2 Permanent magnet synchronous generator passivity property
40(1)
3.3.3 Workless forces identification
41(1)
3.3.4 Speed-controlled dq model of the permanent magnet synchronous generator
41(1)
3.4 Passivity-based speed controller computation
42(4)
3.4.1 Desired voltage and desired current computation
46(1)
3.5 Grid-side converter control
46(2)
3.6 Simulation and experimental results
48(6)
3.6.1 Performance analysis under fixed parameters
49(2)
3.6.2 Robustness analysis
51(3)
3.7 Conclusion
54(1)
References
54(3)
4 An intelligent energy management system of hybrid solar/wind/battery power sources integrated in smart DC microgrid for smart university
57(32)
Youcef Belkhier
Mohamed Dahman Alshehri
Rabindra Nath Shaw
Ankush Ghosh
4.1 Introduction
57(4)
4.2 Mathematical description of the hybrid energy system
61(8)
4.2.1 Wind system model
61(3)
4.2.2 Solar power system model
64(2)
4.2.3 Battery system model
66(1)
4.2.4 AC grid model
67(1)
4.2.5 Load side converters model
68(1)
4.3.1 Source-side converters controllers design
69(3)
4.3.2 Load side converters controller design
72(1)
4.3.3 Energy management unit
73
4.3 Mathematical description of the hybrid energy system
69(5)
4.3.1 Source-side converters controllers design
69(3)
4.3.2 Load side converters controller design
72(1)
4.3.3 Energy management unit
73(1)
4.4 Numerical results
74(11)
4.5 Conclusion
85(1)
References
85(3)
Further reading
88(1)
5 IoT in renewable energy generation for conservation of energy using artificial intelligence
89(18)
Anand Singh Rajawat
Kanishk Barhanpurkar
Rabindra Nath Shaw
Ankush Ghosh
5.1 Introduction
89(2)
5.2 Related work
91(2)
5.2.1 Internet of things and renewable energy
92(1)
5.3 Proposed methodology
93(2)
5.4 Deep Q-learning
95(4)
5.5 Results analysis and discussion
99(2)
5.6 Conclusion and future work
101(1)
References
102(5)
6 Renewable energy system for industrial internet of things model using fusion-AI
107(22)
Anand Singh Rajawat
Omair Mohammed
Rabindra Nath Shaw
Ankush Ghosh
6.1 Introduction
107(2)
6.1.1 Renewable energy system for smart production
108(1)
6.1.2 Energy management for renewable energy system
108(1)
6.1.3 Predictive maintenance
108(1)
6.2 Related work
109(1)
6.3 Internet of things in renewable energy sector
110(2)
6.3.1 Automation to advance complete production
110(1)
6.3.2 Smart grids for elevated renewable implementation
111(1)
6.3.3 The internet of things is increasing renewable energy adoption
111(1)
6.4 Proposed methodology
112(4)
6.4.1 Interruption attacks
113(3)
6.5 Renewable energy system for industrial internet of things model
116(6)
6.6 Results analysis
122(1)
6.6.1 Mean absolute error
122(1)
6.6.2 Mean squared error
122(1)
6.6.3 Root mean squared logarithmic error
122(1)
6.6.4 Mean absolute percent error
122(1)
6.7 Conclusion
123(1)
Reference
124(5)
7 Centralized intelligent fault localization approach for renewable energy-based islanded microgrid systems
129(22)
Ahteshamul Haque
V. S. Bharath Kurukuru
Mohammed Ali Khan
Azra Malik
Faizah Fayaz
7.1 Introduction
129(2)
7.2 Challenges in disturbance detection
131(2)
7.2.1 Behavior of power electronics converters
131(1)
7.2.2 Other disturbances and detection challenges
132(1)
7.3 Requirements for classifier development
133(3)
7.3.1 Feature extraction
133(2)
7.3.2 Machine learning
135(1)
7.4 Centralized fault localization method
136(4)
7.4.1 Data gathering
137(2)
7.4.2 Fault/disturbance detection
139(1)
7.5 Numerical simulations
140(6)
7.5.1 Data collection
141(2)
7.5.2 Results and discussion
143(3)
7.6 Conclusion
146(1)
References
147(4)
8 Modeling of electric vehicle charging station using solar photovoltaic system with fuzzy logic controller
151(18)
Priyaratnam
Anjali Jain
Neelam Verma
Rabindra Nath Shaw
Ankush Ghosh
8.1 Introduction
151(1)
8.2 Components of charging station
152(3)
8.2.1 Solar photovoltaic array
153(1)
8.2.2 Boost converter
154(1)
8.2.3 Battery model
155(1)
8.2.4 Battery charger
155(1)
8.3 Control systems strategies
155(5)
8.3.1 Battery charger control system
156(1)
8.3.2 Photovoltaic array control
156(4)
8.4 Simulation and result
160(5)
8.5 Conclusion
165(1)
References
165(4)
9 Weather-based solar power generation prediction and anomaly detection
169(12)
Priyesh Ranjan
Pritam Khan
Linux Patel
Sephali Shradha Khamari
Ankush Ghosh
Rabindra Nath Shaw
Sudhir Kumar
9.1 Introduction
169(2)
9.1.1 Related work
170(1)
9.1.2 Contributions
171(1)
9.2 Prediction of solar power generation
171(3)
9.2.1 Regression-based power generation prediction
172(1)
9.2.2 Anomaly in prediction of power generation
173(1)
9.3 Experiments and results
174(5)
9.3.1 Data information
174(2)
9.3.2 Weather-based power generation prediction
176(1)
9.3.3 Anomaly detection
176(3)
9.4 Conclusion and future work
179(1)
References
179(2)
10 RMSE and MAPE analysis for short-term solar irradiance, solar energy, and load forecasting using a Recurrent Artificial Neural Network
181(12)
Nilesh Kumar Rai
Saravanan D.
Labh Kumar
Pradum Shukla
Rabindra Nath Shaw
10.1 Introduction
181(1)
10.2 Literature survey
182(1)
10.2.1 Load forecasting
182(1)
10.2.2 Solar irradiance forecasting
182(1)
10.2.3 Solar energy forecasting
183(1)
10.3 Prediction methodology
183(1)
10.4 Artificial Neural Network
183(2)
10.5 Data description
185(1)
10.6 Key performance indicator
185(1)
10.7 Results and discussion
186(4)
10.8 Conclusions
190(1)
References
190(3)
11 Study and comparative analysis of perturb and observe (P&O) and fuzzy logic based PV-MPPT algorithms
193(18)
Avinash Kumar Pandey
Varsha Singh
Sachin Jain
11.1 Introduction
193(1)
11.2 Photovoltaic system
194(4)
11.2.1 Photovoltaic source modeling
195(2)
11.2.2 DC-DC converter modeling
197(1)
11.3 Maximum power point tracking system
198(7)
11.3.1 Perturb and observe based maximum power point tracking system algorithm
199(2)
11.3.2 Design of fuzzy logic based maximum power point tracking system
201(4)
11.4 Simulation results and discussion
205(2)
11.5 Conclusion
207(1)
References
207(4)
12 Control strategy for design and performance evaluation of hybrid renewable energy system using neural network controller
211(14)
Ashwani Kumar
Vishnu Mohan Mishra
Rakesh Ranjan
12.1 Introduction
211(1)
12.2 Modeling of hybrid power system
212(2)
12.3 Control strategy
214(2)
12.3.1 Neural network model
215(1)
12.4 Proportional-integral-derivative control and performance Index
216(1)
12.5 Simulation results and discussion
216(6)
12.6 Conclusions
222(1)
References
222(3)
Index 225
Rabindra Nath Shaw is a Senior Member of IEEE (USA), currently holding the post of Director, International Relations, Galgotias University India. He is an alumnus of the applied physics department, University of Calcutta, India. . He has more than eleven years teaching experience in leading institutes like Motilal Nehru National Institute of Technology Allahabad, India, Jadavpur University and others in UG and PG level. He has successfully organised more than fifteen International conferences as Conference Chair, Publication Chair and Editor. He has published more than fifty Scopus/ WoS/ ISI indexed research papers in International Journals and conference Proceedings. He is the editor of several Springer and Elsevier books. His primary area of research is optimization algorithms and machine learning techniques for power system, IoT Application, Renewable Energy, and power Electronics converters. He also worked as University Examination Coordinator, University MOOCs Coordinator, University Conference Coordinator and Faculty- In Charge, Centre of Excellence for Power Engineering and Clean Energy Integration. Ankush Ghosh is presently working as Associate Professor in the School of Engineering and Applied Sciences, The Neotia University, India. He has more than 15 years of experience in Teaching, research as well as industry. He has outstanding research experiences and published more than 80 research papers in International Journal and Conferences. He was a research fellow of the Advanced Technology Cell- DRDO, Govt. of India. He was awarded National Scholarship by HRD, Govt. of India. He received his Ph.D. (Engg.) Degree from Jadavpur University in 2010. His UG and PG teaching assignments include Microprocessor and microcontroller, AI, IOT, Embedded and real time systems etc. He has delivered Invited lecture in a number of international seminar/conferences, refreshers courses, and FDPs. He has guided a large number of M.Tech and Ph.D. students. He is Editorial Board Member of several International Journals. Saad Mekhilef received the B.Eng. degree in Electrical Engineering from the University of Setif in 1995, and the M.Eng.Sc. and Ph.D. Degrees in Electrical Engineering from the University of Malaya in 1998 and 2003, respectively. He is currently a Professor in the Department of Electrical Engineering at the University of Malaya and has been actively involved in industrial consultancy for major corporations in the power electronics projects. He is the author and co-author of more than 100 publications in international journals and proceedings. His research interest includes power conversion techniques, control of power converters, renewable energy, and energy efciency. Dr. Valentina Emilia Balas is currently a Full Professor at the Department of Automatics and Applied Software at the Faculty of Engineering, Aurel Vlaicu” University of Arad, Romania. She holds a PhD cum laude in applied electronics and telecommunications from the Polytechnic University of Timisoara. Dr. Balas is the author of more than 350 research papers in refereed journals and for international conferences. Her research interests cover intelligent systems, fuzzy control, soft computing, smart sensors, information fusion, modeling, and simulation. She is the Editor-in-Chief of the 'International Journal of Advanced Intelligence Paradigms' and the 'International Journal of Computational Systems Engineering', an editorial board member for several other national and international publications, as well as an expert evaluator for national and international projects and PhD theses. Dr. Balas is the Director of the Intelligent Systems Research Center and the Director of the Department of International Relations, Programs and Projects at the Aurel Vlaicu” University of Arad. She served as the General Chair for nine editions of the International Workshop on Soft Computing Applications (SOFA) organized in 20052020 and held in Romania and Hungary. Dr. Balas participated in many international conferences as organizer, honorary chair, session chair, member in steering, advisory or international program committees, and keynote speaker. Now she is working on a national project funded by the European Union: BioCell-NanoART = Novel Bio-inspired Cellular Nano-Architectures. She is a member of the European Society for Fuzzy Logic and Technology, a member of the Society for Industrial and Applied Mathematics, a senior member of IEEE, a member of the IEEE Fuzzy Systems Technical Committee, the chair of Task Force 14 of the IEEE Emergent Technologies Technical Committee, a member of the IEEE Soft Computing Technical Committee. She is also the recipient of the "Tudor Tanasescu" prize from the Romanian Academy for contributions in the field of soft computing methods (2019).