Impact of wind power generating system integration on frequency stabilization in multi-area power system with fuzzy logic controller in deregulated environment
Received date: 06 Nov 2013
Accepted date: 05 Feb 2014
Published date: 02 Mar 2015
Copyright
Among the available options for renewable energy integration in existing power system, wind power is being considered as one of the suited options for future electrical power generation. The major constraint of wind power generating system (WPGS) is that it does not provide inertial support because of power electronic converters between the grid and the WPGS to facilitate frequency stabilization. The proposed control strategy suggests a substantial contribution to system inertia in terms of short-term active power support in a two area restructured power system. The control scheme uses fuzzy logic based design and takes frequency deviation as input to provide quick active power support, which balances the drop in frequency and tie-line power during transient conditions. This paper presents a comprehensive study of the wind power impact with increasing wind power penetration on frequency stabilization in restructured power system scenario. Variation of load conditions are also analyzed in simulation studies for the same power system model with the proposed control scheme. Simulation results advocates the justification of control scheme over other schemes.
Y. K. BHATESHVAR , H. D. MATHUR , H. SIGUERDIDJANE . Impact of wind power generating system integration on frequency stabilization in multi-area power system with fuzzy logic controller in deregulated environment[J]. Frontiers in Energy, 2015 , 9(1) : 7 -21 . DOI: 10.1007/s11708-014-0338-2
| 1 |
Ekanayake J, Jenkins N. Comparison of the response of doubly fed and fixed-speed induction generator wind turbines to changes in network frequency. IEEE Transactions on Energy Conversion, 2004, 19(4): 800–802
|
| 2 |
Rabelo B, Hofmann W. Optimal active and reactive power control with the doubly-fed induction generator in the MW-class wind-turbines. 2013-10-05
|
| 3 |
Slootweg J G, de Haan S W H, Polinder H, Kling W L. General model for representing variable speed wind turbines in power system dynamics simulations. IEEE Transactions on Power Systems, 2003, 18(1): 144–151
|
| 4 |
Lalor G, Ritchie J, Rourke S, Flynn D, O’Malley M J. Dynamic frequency control with increasing wind generation. In: Procceedings of IEEE Power Engineering Society General Meeting. Denver, 2004, 1715–1720
|
| 5 |
de Almeida R G, Pecas Lopes J A. Participation of doubly fed induction wind generators in system frequency regulation. IEEE Transactions on Power Systems, 2007, 22(3): 944–950
|
| 6 |
Mullane A, O’Malley M. The inertial response of induction-machine-based wind turbines. IEEE Transactions on Power Systems, 2005, 20(3): 1496–1503
|
| 7 |
Tan W, Zhang H, Yu M. Decentralized load frequency control in deregulated environments. International Journal of Electrical Power & Energy Systems, 2012, 41(1): 16–26
|
| 8 |
Kundur P. Power System Stability and Control. McGraw-Hill Professional, 2006, 739
|
| 9 |
Bhatt P, Roy R. Optimized automatic generation control by SSSC and TCPS in coordination with SMES for two-area hydro-hydro power system. In: Proceedings of 2009 International Conference on Advances in Computing, Control, and Telecommunication Technologies. Trivandrum, 2009, 474–480
|
| 10 |
Miller N W, Sanchez-Gasca J J, Price W W, Delmerico R W. Dynamic modeling of GE 1.5 and 3.6 MW wind turbine-generators for stability simulations. IEEE Power Engineering Society General Meeting, 2003, 3: 1977–1983
|
| 11 |
Mauricio J M, Marano A, Gómez-Expósito A, Martinez Ramos J L. Frequency regulation contribution through variable-speed wind energy conversion systems. IEEE Transactions on Power Systems, 2009, 24(1): 173–180
|
| 12 |
Nanda J, Mishra S, Saikia L C. Maiden application of bacterial foraging-based optimization technique in multiarea automatic generation control. IEEE Transactions on Power Systems, 2009, 24(2): 602–609
|
| 13 |
Roy R, Ghoshal S P, Bhatt P. Evolutionary computation based four-area automatic generation control in restructured environment. In: Proceedings of 2009 3rd International Conference on Power Systems. Kharagpur, 2009, 25–30
|
| 14 |
Goldberg D E. Genetic Algorithms in Search, Optimization, and Machine Learning. Addison-Wesley, 1989, 432
|
| 15 |
Çam E, Kocaarslan I. Load frequency control in two area power systems using fuzzy logic controller. Energy Conversion and Management, 2005, 46(2): 233–243
|
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