ieeeelectricalprojectshub@gmail.com 9550138748

Wednesday, January 24, 2024

Maiden Application of Ziegler-Nichols Method to AGC of Distributed Generation System

 Abstract

 This paper deals with the load frequency control of Distributed Generation Systems (DGS) consisting of Wind, Solar and Diesel Generator. The Diesel Generator is controlled either by P or PI or PID controller to inject regulated amount of real power to the power system based on its rating. As a result it regulates the mismatch between the real power generation and the load which will lead to a minimum power and frequency deviations. A systematic way of deciding frequency bias parameter along with tuning the gains of the Proportional, Integral and Derivative controller (PID) based on Ziegler-Nichols method and ITSE performance criterion is proposed. The simulation studies are carried out for different types of controllers, and disturbances and it is found that it regulates the frequency with less number of oscillations, minimum peak over shoot, and settling time in the case of PID controller.

Index Terms—Distributed Generation Systems (DGS), Proportional, Integral and Derivative Control (PID), ZieglerNichols method, Optimization methods, Tuning, Frequency Control, Diesel Generators, Wind and Solar, Simulation Analysis.

BLOCK DIAGRAM



Fig. 1. The Block diagram of the Distribution Generation System with Diesel Generator, Wind, Solar power supply and Power System.

SIMULATION RESULTS





Fig. 2. Simulation results of case 1 when wind (0.6 pu), solar (0.3 pu) constant and change in load (0.9 to 0.95 pu) at 100sec : (a) Power Demand and Power Supply in pu (b) Power generated by diesel generator in pu (c) Frequency deviation in Hz.

 


Fig. 3. Simulation results of case 2 when Load (0.9 pu), solar (0.3 pu) constant and change in wind power (0.6 to 0.4 pu) at 100sec : (a) Power Demand and Power Supply in pu (b) Power generated by diesel generator in pu (c) Frequency deviation in Hz.



Fig. 4. Simulation results of case 3 when Load (0.9 pu), wind (0.6 pu) constant and change in solar power (0.3 to 0.2 pu) at 250sec : (a) Power Demand and Power Supply in pu (b) Power generated by diesel generator in pu (c) Frequency deviation in Hz.

CONCLUSION

In this paper a systematic approach for tuning of PID controllers in DGS and calculation of optimal frequency bias are presented. The robustness of the proposed controller is checked with different case studies. The simulation studies of DGS with PID controller shows a better performance in terms of time domain specifications: rise time, peak over shoot, peak time, settling time, and steady state error, than P and PI controllers. When the load or power generation changes occur in the DGS, the PID controller acts such that the Diesel Generator will compensate for the required power. This resulted in the minimum oscillations in the frequency and power. Finally the PID controllers stabilize the system quickly with zero steady state error in less settling time. The frequency bias calculation is very important in the power system dynamics and played a key role in controller gains. This factor directly effects the individual components like Diesel Generators and finally overall performance of the DGS. So the selection of frequency bias is very crucial and is addressed in this paper.

REFERENCES

[1] D.Lee and Li Wang, ”Small Signal Stability analysis of an Autonomous Hybrid Renewable Energy Power Generation/Energy Storage system time domain simulations”, IEEE Trans. Energy Convers., vol.23,no.1, March.2008.

[2] A. Keyhani and Jin-Woo Jung, “Distributed energy systems,” Journal of Iranian Association of Electrical and Electronics Engineers, vol. 1, no. 2, pp. 33-40,Summer and Fall 2004

[3] 3] D. J. Hall and R. G. Colclaser, “Transient modeling and simulation of a tubular solid oxide fuel cell,” IEEE Trans. Energy Convers., vol. 14, no. 3, pp. 749–753, Sep. 1999.

[4] M. D. Lukas, K. Y. Lee, and H. Ghezel-Ayagh, “Development of a stack simulation model for control study on direct reforming molten carbonate fuel cell power plant,” IEEE Trans. Energy Convers., vol. 14, no. 4, pp. 1651–1657, Dec. 1999.

[5] P. S. Dokopoulos, A. C. Saramourtsis, and A. G. Bakirtzis, “Prediction and evaluation of the performance of wind-diesel energy systems,” IEEETrans. Energy Convers., vol. 11, no. 2, pp. 385–393, Jun. 1996.

No comments:

Post a Comment

Note: Only a member of this blog may post a comment.

Power Quality Enhancement Using Dynamic Voltage Restorer (DVR)-Based Predictive Space Vector Transformation (PSVT) With Proportional Resonant (PR)-Controller

Abstract  In the power distribution system, the Power Quality (PQ) is disturbed by the voltage sag and swells. The Dynamic Voltage Restorer ...