Real-Time Voltage Regulation in Power Distribution System Using Fuzzy Control

Two different fuzzy approaches to voltage control in electric power distribution systems are introduced in this paper. The real-time controller in each case would act on power transformers equipped with under-load tap changers. Learning systems are employed to turn the voltage-control relays into adaptive devices. The scope of this study has been limited to the power distribution substation, and the voltage measurements and control actions are carried out on the secondary bus. The capacity of fuzzy systems to handle approximate data, together with their unique ability to interpret qualitative information, make it possible to design voltage-control strategies that satisfy the requirements of the Brazilian regulatory bodies and the real concerns of the electric power distribution companies. Fuzzy control systems based on these two strategies have been implemented and the test results were highly satisfactory.

[1]  A. Augugliaro,et al.  Voltage regulation and power losses minimization in automated distribution networks by an evolutionary multiobjective approach , 2004, IEEE Transactions on Power Systems.

[2]  Vladimiro Miranda,et al.  An Improved Fuzzy Inference System for Voltage/VAR Control , 2007, 2007 International Conference on Power Engineering, Energy and Electrical Drives.

[3]  L.A.F. Ferreira,et al.  Distributed Reactive Power Generation Control for Voltage Rise Mitigation in Distribution Networks , 2008, IEEE Transactions on Power Systems.

[4]  Yutian Liu,et al.  Optimal volt/var control in distribution systems , 2002 .

[5]  M.E. Baran,et al.  A Multiagent-Based Dispatching Scheme for Distributed Generators for Voltage Support on Distribution Feeders , 2007, IEEE Transactions on Power Systems.

[6]  M. Dixon Innovative volt/VAr management provides payback , 2001, 2001 IEEE/PES Transmission and Distribution Conference and Exposition. Developing New Perspectives (Cat. No.01CH37294).

[7]  Sung-Kwun Oh,et al.  Multilayer hybrid fuzzy neural networks: synthesis via technologies of advanced computational intelligence , 2006, IEEE Transactions on Circuits and Systems I: Regular Papers.

[8]  W. Pedrycz,et al.  An introduction to fuzzy sets : analysis and design , 1998 .

[9]  Jong-young Park,et al.  Control of a ULTC Considering the Dispatch Schedule of Capacitors in a Distribution System , 2007, IEEE Transactions on Power Systems.

[10]  Yuan-Yih Hsu,et al.  A combined artificial neural network-fuzzy dynamic programming approach to reactive power/voltage control in a distribution substation , 1998 .

[11]  Miroslav Begovic,et al.  Capacitor placement for conservative voltage reduction on distribution feeders , 2004 .

[12]  Yi-Sheng Zhou,et al.  Optimal design for fuzzy controllers by genetic algorithms , 2000 .

[13]  T. Ross Fuzzy Logic with Engineering Applications , 1994 .

[14]  R. H. Liang,et al.  Fuzzy-Based Reactive Power and Voltage Control in a Distribution System , 2002, IEEE Power Engineering Review.

[15]  R. H. Liang,et al.  Dispatch of Main Transformer ULTC and Capacitors in a Distribution System , 2001, IEEE Power Engineering Review.