Contents & References of Probabilistic analysis of dynamic stability of microgrids considering wind turbines
List:
Table of Contents:
Chapter 1 1
1-1. wind energy 2
1-1-1. An overview of wind energy. 2
1-1-2. Different wind turbine technologies. 6
1-1-2-1. Wind turbine with squirrel cage induction generator. 7
1-1-2-2. Wind turbine with two-way induction generator. 8
1-1-2-3. Wind turbine with full power converter. 9
1-2. An introduction to microgrids 10
1-2-1. Distributed production 10
1-2-2 Microgrids 12
1-3. Problem design and an overview of the conducted research 14
1-3-1. An overview of the conducted research 14
1-3-2. Definition of the problem. 16
1-4. Head of chapters 17
1-4-1. Second chapter: Modeling and definition of wind turbine equations. 17
1-4-2. The third chapter: introduction and modeling of microgrid. 17
1-4-3. Chapter 4: Introduction of possible analysis methods. 18
1-4-4. The fifth chapter: simulation and comparison. 18
The second chapter 19
2-1. Constant speed wind turbines [33] 20
2-2. Variable speed wind turbines. 25
2-2-1. Wind turbine with full power converter [35] 25
2-2-1-1. Power system modeling. 27
2-2-1-2. Control system modeling. 30
2-2-2. Wind turbine with two-way induction generator. 38
2-2-2-1. Modeling of the induction machine used in two-way feeding wind turbine. 39
2-2-2-2. Modeling of converter control system used in two-way wind turbine. 41
The third chapter 44
3-1. Introduction of microgrid system. 45
3-2. Microgrid modeling. 47
3-2-1. Synchronous machine model. 47
3-2-2. Microgrid model. 52
3-2-3. General model of the system. 54
Chapter Four. 56
4-1. Numerical probabilistic investigation methods. 57
4-1-1. Monte-Carlo method[25,41] 57
4-1-2. Quantize method [43] 62
4-2. Analytical probabilistic investigation methods. 63
4-2-1. Two-point estimation method [27-28, 43-44] 64
4-2-2. The method based on Gram-Charlier expansion [29-30, 45-47] 67
Chapter 5 74
1-5. Check the stability of the system without considering the uncertainty. 75
5-2. Investigating the sensitivity of microgrid eigenvalues ??to system states. 85
5-3. A probabilistic investigation of small signal stability considering a probabilistic variable. 92
5-4. A probabilistic investigation of small signal stability considering several possible input variables. 104
Sixth Chapter 114
6-1. conclusion 115
6-1-1. Results for wind turbines. 115
6-1-2. Results related to possible methods used 115
6-1. Suggestions. 116
References... 118
Source:
[1].
[2].REN 21 Steering Committees. "Renewables 2013: Global Status Report." (2013): 178.
[3].The World Wind Energy Association (WWEA), world Wind Energy Report 2012.
[4].Anaya-Lara, Olimpo, et al. Wind energy generation: modeling and control. John Wiley & Sons, 2011.
[5].Renewable Energy Organization of Iran (SUNA), Available online on: www.suna.org.ir
[6].Machowski, Jan, Janusz Bialek, and Jim Bumby. Power system dynamics: stability and control. John Wiley & Sons, 2011.
[7]. Davis, Murray W. "Distributed resource electric power systems offer significant advantages over central station generation and T & D power systems. II." Power Engineering Society Summer Meeting, 2002 IEEE. Vol. 1. IEEE, 2002.
[8]. Ackermann, Thomas, G?ran Andersson, and Lennart S?der. "Distributed generation: a definition." Electric power systems research 57.3 (2001): 195-204. [9]. Meliopoulos, AP Sakis. "Challenges in simulation and design of ?grids." Power Engineering Society Winter Meeting, 2002. IEEE. Vol. 1. IEEE, 2002.
[10]. Dugan, Roger C. "Distributed resources and reliability of distribution systems." Power Engineering Society Summer Meeting, 2002 IEEE. Vol. 1. IEEE, 2002.
[11]. Katiraei, F., and M. R. Iravani. "Power management strategies for a microgrid with multiple distributed generation units." Power Systems, IEEE Transactions on 21.4 (2006): 1821-1831. [12]. El-Fouly,El-Fouly, T. H. M., E. F. El-Saadany, and M. M. A. Salama. "Grey predictor for wind energy conversion systems output power prediction." Power Systems, IEEE Transactions on 21.3 (2006): 1450-1452. [13]. Louka, Petroula, et al. "Improvements in wind speed forecasts for wind power prediction purposes using Kalman filtering." Journal of Wind Engineering and Industrial Aerodynamics 96.12 (2008): 2348-2362.
[14]. Kariniotakis, G. N., G. S. Stavrakakis, and E. F. Nogaret. "Wind power forecasting using advanced neural networks models." Energy conversion, IEEE transactions on 11.4 (1996): 762-767. [15]. Pelacchi, Paolo, and Davide Poli. "The influence of wind generation on power system reliability and the possible use of hydrogen storages." Electric Power Systems Research 80.3 (2010): 249-255. [16]. Black, Mary, and Goran Strbac. "Value of bulk energy storage for managing wind power fluctuations." Energy conversion, IEEE transactions on 22.1 (2007): 197-205. [17]. ?uri?, Milenko B., Zoran M. Radojevi?, and Emilija D. Turkovi?. "A reduced order multimachine power system model suitable for small signal stability analysis." International Journal of Electrical Power & Energy Systems 20.5 (1998): 369-374.
[18]. Coelho, Ernane Antonio Alves, Porfirio Cabaleiro Cortizo, and Pedro Francisco Donoso Garcia. "Small-signal stability for parallel-connected inverters in stand-alone AC supply systems." Industry Applications, IEEE Transactions on 38.2 (2002): 533-542.
[19]. Tang, Hong, Jun-ling WU, and Shuang-xi ZHOU. "Modeling and Simulation for Small Signal Stability Analysis of Power System Containing Wind Farm [J]." Power System Technology 1 (2004): 009.
[20]. Kundur, Prabha, et al. "Application of power system stabilizers for enhancement of overall system stability." Power Systems, IEEE Transactions on 4.2 (1989): 614-626. [21]. Tang, Yousin, and AP Sakis Meliopoulos. "Power system small signal stability analysis with FACTS elements." Power Delivery, IEEE Transactions on 12.3 (1997): 1352-1361. [22]. Makarov, Yuri V., Zhao Yang Dong, and David J. Hill. "A general method for small signal stability analysis." Power Systems, IEEE Transactions on 13.3 (1998): 979-985. [23]. Allan, R. N., B. Borkowska, and C. H. Grigg. "Probabilistic analysis of power flows." Electrical Engineers, Proceedings of the Institution of 121.12 (1974): 1551-1556. [24]. Burchett, Robert Calvin, and G. T. Heydt. "Probabilistic methods for power system dynamic stability studies." Power Apparatus and Systems, IEEE Transactions on 3 (1978): 695-702.
[25]. Rueda, José L., Delia G. Colomé, and Istvan Erlich. "Assessment and enhancement of small signal stability considering uncertainties." Power Systems, IEEE Transactions on 24.1 (2009): 198-207. [26]. Huang, Huazhang, et al. "Quasi-Monte Carlo Based Probabilistic Small Signal Stability Analysis for Power Systems with Plug-In Electric Vehicle and Wind Power Integration." (2013): 1-9.
[27].Morales, Juan M., and Juan Perez-Ruiz. "Point estimate schemes to solve the probabilistic power flow." Power Systems, IEEE Transactions on 22.4 (2007): 1594-1601. [28]. Yi, Haiqiong, et al. "Power system probabilistic small signal stability analysis using two point estimation method." Universities Power Engineering Conference, 2007. UPEC 2007. 42nd International. IEEE, 2007.
[29]. Wang, K. W., et al. "Improved probabilistic method for power system dynamic stability studies." Generation, Transmission and Distribution, IEE Proceedings-. Vol. 147. No. 1. IET, 2000. [30]. Bu, S. Q., et al. "Probabilistic analysis of small-signal stability of large-scale power systems as affected by penetration of wind generation." Power Systems, IEEE Transactions on 27.2 (2012): 762-770. [31]. Mohseni, Mansour, and Syed M. Islam.