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Fuzzy Decision Method Applied in Action of Reactive Power Compensation Devices in Wind System

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DOI: 10.4236/jpee.2014.24039    3,366 Downloads   3,992 Views  

ABSTRACT

Frequent occurrence of large-scale cascading trip-off of wind turbine raises the concern about the decision process of ordered control of reactive power compensation devices. The theory of fuzzy multi-attribute decision making is adopted to ascertain the action sequence of reactive power compensation devices. First, a set of evaluation indexes including control sensitivity, regulation
margin, response time, response level and cost is set up, and fuzziness of the proposed qualitative indexes is introduced to make them comparable to the proposed quantitative indexes. Then a method to calculate fuzzy weight of each index is put forward for evaluating relative importance of the proposed indexes. Finally, the action sequence of reactive power compensation devices is determined through the theory of fuzzy compromise decision making. The case study shows that the proposed method is effective to obtain the action sequence of reactive power compensation device which correspond to experience.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

Li, X. , Feng, L. , Tang, Y. and Chen, Y. (2014) Fuzzy Decision Method Applied in Action of Reactive Power Compensation Devices in Wind System. Journal of Power and Energy Engineering, 2, 280-287. doi: 10.4236/jpee.2014.24039.

References

[1] Hao, Z.H. and Yu, Y.X. (2011) The Influence of Doubly-Fed Induction Generator on Stability of Power System. Power System Protection and Control, 39, 7-11.
[2] Huang, X.L., Liu, Z.R., Zhu, R.J., et al. (2010) Impact of Power System Integrated with Large Capacity of Variable Speed Constant Frequency Wind Turbines. Transactions of China Electrotechnical Society, 24, 142-149.
[3] Ni, L., Yuan, R.X., Zhang, Z.B. and Liu, C. (2011) Research on Control Method and Dynamic Characteristic of Large Wind Farm Integration. Power System Protection and Control, 39, 75-81.
[4] Yin, M., Wang, C.S., Ge, X.B. and Zhang, Y.B. (2010) Comparison and Analysis of Wind Power Development between China and Germany. Transactions of China Electrotechnical Society, 25, 157-164.
[5] Jiang, W., Yan, Z. and Yang, J.L. (2010) Reliability Assessment of Composite Generation and Transmission System Considering Wind Farms. Power System Protection and Control, 38, 126-130.
[6] He, S.E. and Dong, X.Z. (2012) Cause Analysis on Large-Scale Wind Turbine Tripping and Its Countermeasures. Power System Protection and Control, 40, 131-137.
[7] Zhang, Z.Y. and Chen, Y.P. (2007) Optimization of Power System Black-start Schemes Based on the Fuzzy Multiple Attribute Decision-Making Method. High Voltage Engineering, 33, 42-45.
[8] Yuan, Z.J., Sun, C.X., Li, J., et al. (2004) Study on Condition-Based Maintenance Policy of Transformer Based on Fuzzy Multiple Expert and Multiple Attribute Group Decision Making. Automation of Electric Power Systems, 28, 66- 70.
[9] Dai, S.Y. and Peng, X.T., et al. (2012) Comprehensive Evaluation Method of Ultra High Voltage Transmission Modes Based on Fuzzy Optimization. High Voltage Engineering, 38, 3316-3322.
[10] Li, R.J. (2002) Fuzzy Multi-Attribute Decision Making. Fuzzy Multi-Attribute Decision Making Theory and Application. Science Publishing House, Beijing, 138-200.

  
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