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Risk-Based Energy Management: DC, AC and Hybrid AC-DC Microgrids [Mīkstie vāki]

Edited by (Vice President of Iranian National Center for Knowledge-based Management at Sharif University of Technology, Iran and Chairman of the Board ), Edited by , Edited by (Assistant Professor, Department of Electrical Engineering, University of Bonab, Bonab, Iran)
  • Formāts: Paperback / softback, 294 pages, height x width: 229x152 mm, weight: 480 g, Approx. 200 illustrations; Illustrations, unspecified
  • Izdošanas datums: 23-Jul-2019
  • Izdevniecība: Academic Press Inc
  • ISBN-10: 0128174919
  • ISBN-13: 9780128174913
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  • Mīkstie vāki
  • Cena: 167,86 €
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Risk-Based Energy Management: DC, AC and Hybrid AC-DC MicrogridsPalielināt
  • Formāts: Paperback / softback, 294 pages, height x width: 229x152 mm, weight: 480 g, Approx. 200 illustrations; Illustrations, unspecified
  • Izdošanas datums: 23-Jul-2019
  • Izdevniecība: Academic Press Inc
  • ISBN-10: 0128174919
  • ISBN-13: 9780128174913
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9780128174913.html
Keywords:

Risk-Based Energy Management: DC, AC and Hybrid AC-DC Microgrids defines the problems and challenges of DC, AC and hybrid AC-DC microgrids and considers the right tactics and risk-based scheduling to tackle them. The book looks at the intermittent nature of renewable generation, demand and market price with the risk to DC, AC and hybrid AC-DC microgrids, which makes it relevant for anyone in renewable energy demand and supply. As utilization of distributed energy resources and the intermittent nature of renewable generations, demand and market price can put the operation of DC, AC and hybrid AC-DC microgrids at risk, this book presents a timely resource.

  • Discusses both the challenges and solutions surrounding DC, AC and hybrid AC-DC microgrids
  • Proposes robust scheduling of DC, AC and hybrid AC-DC microgrids under uncertain environments
  • Includes modeling upstream grid prices, renewable resources and intermittent load in the decision-making process of DC, AC and hybrid AC-DC microgrids
List of contributors
ix
Preface xi
1 Energy management concept of AC, DC, and hybrid AC/DC microgrids
1(10)
Sayyad Nojavan
Hamed Pashaei-Didani
Arash Mohammadi
Hamed Ahmadi-Nezamabad
1.1 Introduction
1(1)
1.2 Classification of microgrids
2(2)
1.3 Operation strategies and constraints
4(1)
1.4 Communication system
4(1)
1.5 Energy management system
5(3)
References
8(3)
2 Deterministic-based energy management of DC microgrids
11(20)
Noradin Ghadimi
Sayyad Nojavan
Oveis Abedinia
Abbas Barzandeh Dehkordi
2.1 An introduction to microgrid systems
12(3)
2.2 Modeling of the components of the DC microgrid
15(4)
2.3 Configuration of the system
19(1)
2.4 Simulation results
20(8)
2.5 Conclusions
28(1)
References
28(3)
3 Stochastic-based energy management of DC microgrids
31(18)
Gholamreza Fathi
Noradin Ghadimi
Adel Akbarimajd
Abbas Barzandeh Dehkordi
3.1 Introduction
32(2)
3.2 Uncertainty modeling with stochastic programming method
34(1)
3.3 Stochastic formulation of DC microgrids
35(3)
3.4 Case study
38(1)
3.5 Scenario generation
39(1)
3.6 Analyzing results
39(6)
3.7 Conclusion
45(1)
References
46(3)
4 Robust optimization-based energy management of DC microgrids
Mohammadhossein Saeedi
Nafiseh Shah Hosseini
4.1 Introduction
49(1)
4.2 A brief review of the robust optimization approach
50(2)
4.3 Robust optimization method
52(1)
4.4 Robust mixed-integer linear programming formulation of DC microgrid energy management
53(3)
4.5 The algorithm of the robust optimization problem
56(1)
4.6 Results and discussion
56(8)
4.7 Conclusion
64(1)
References
65(2)
5 Information gap decision theory-based risk-constrained energy management of DC microgrids
67(16)
Hamed Pashaei-Didani
Arash Mohammadi
Hamed Ahmadi-Nezamabad
Sayyad Nojavan
5.1 Introduction
67(2)
5.2 The information gap decision theory background
69(1)
5.3 Mathematical formulation
70(5)
5.4 Numerical simulation
75(5)
5.5 Conclusion
80(2)
References
82(1)
6 Deterministic-based energy management of AC microgrids
83(28)
Seyed Mohammad Hassan Hosseini
Mohammad Reza Semsar
6.1 Introduction
84(1)
6.2 System model
85(7)
6.3 Configuration of system
92(4)
6.4 Analyzing results
96(12)
6.5 Conclusion
108(1)
References
109(2)
7 Stochastic-based energy management of AC microgrids
111(24)
Seyed Mohammad Hassan Hosseini
Bijan Nemati
7.1 Introduction
112(1)
7.2 Stochastic modeling of AC microgrid
112(7)
7.3 Case study
119(1)
7.4 Scenario generation
119(3)
7.5 Results and discussion
122(10)
7.6 Conclusion
132(1)
References
133(2)
8 Robust optimization-based energy management of AC microgrids
135(22)
Hamed Pashaei-Didani
Sayyad Nojavan
8.1 Introduction
135(2)
8.2 Robust mixed-integer nonlinear programming formulation of the problem
137(4)
8.3 Analyzing results
141(13)
8.4 Conclusion
154(1)
References
154(3)
9 Information gap decision theory--based risk-constrained energy management of AC microgrids
157(20)
Sayyad Nojavan
Hamed Pashaei-Didani
9.1 Introduction
157(1)
9.2 Implementation of information gap decision theory on AC microgrids
158(1)
9.3 Numerical simulation
159(5)
9.4 Conclusion
174(1)
References
174(3)
10 Deterministic-based energy management of hybrid AC/DC microgrid
177(26)
Sayyad Nojavan
Hamed Pashaei-Didani
Arash Mohammadi
Hamed Ahmadi-Nezamabad
10.1 Introduction
177(2)
10.2 System model
179(7)
10.3 Analyzing results
186(14)
10.4 Conclusion
200(1)
References
201(2)
11 Stochastic-based energy management of hybrid AC/DC microgrid
203(26)
Hamed Pashaei-Didani
Hamed Ahmadi-Nezamabad
Arash Mohammadi
Sayyad Nojavan
11.1 Introduction
204(1)
11.2 Stochastic formulation of the hybrid AC/DC microgrid
205(5)
11.3 Stochastic simulation results
210(15)
11.4 Conclusion References
225(4)
12 Robust optimization-based energy management of hybrid AC/DC microgrids
229(22)
Mahdi Mir
Sadeq Abbasi
Noradin Ghadimi
Mohammad Amin Bagherpour
12.1 Introduction
230(1)
12.2 Robust mixed-integer nonlinear programming formulation of the problem
230(6)
12.3 Results and discussion
236(13)
12.4 Conclusion
249(1)
References
249(2)
13 Information gap decision theory-based risk-constrained energy management of hybrid AC/DC microgrids
251(24)
Sayyad Nojavan
Hamed Pashaei-Didani
13.1 Introduction
252(1)
13.2 Information decision gap theory-based formulation of the problem
253(6)
13.3 Results and discussion
259(13)
13.4 Conclusion
272(1)
References
273(2)
Index 275
Sayyad Nojavan, PhD, is an Assistant Professor in the Department of Electrical Engineering, University of Bonab, Bonab, Iran. His research areas include distribution networks operation, power system operation and economics, electricity market, hybrid energy system, retailer, microgrids, and risk management. He has also edited several books in the energy field, including Operation of Distributed Energy Resources in Smart Distribution Networks. Mahdi Shafieezadeh, PhD, the Vice President of Iranian National Center for Knowledge-based Management at Sharif University of Technology, Iran. He is also Chairman of the Board at Iranian School of Graduate Studies in Business Management and Entrepreneurship. Noradin Ghadimi, PhD, is an Assistant Professor in the Faculty of Electrical and Computer Engineering, Islamic Azad University, Ardabil, Iran. His research areas include power system analysis, electricity market, power system protection, hybrid energy system, uncertainty modelling and risk management.