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ELECTRICAL PROJECTS USING MATLAB/SIMULINK
Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in
0-9347143789/9949240245
For Simulation Results of the project Contact Us
Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in
0-9347143789/9949240245
Intelligent Power Sharing of DC Isolated Microgrid
Based on Fuzzy Sliding Mode Droop Control
ABSTRACT:
Linear droop control can realize power sharing among generators in DC microgrid without
relying on critical communication links. However, the droop relationship between output power
and voltage magnitude of renewable power generate system is nonlinear with uncertainties and
disturbances from renewable sources and loads in practical DC microgrid. A novel droop scheme
is proposed for an isolated DC microgrid to solve the nonlinear problem. The control strategy is
proposed by using the Takagi-Sugeno (T-S) fuzzy model and sliding mode algorithm. The
nonlinear droop characteristics can be represented by T-S model through taking advantage of
locally measured output variables. The sliding mode droop controller is designed for
compensating the uncertainties and disturbances to derive accurate power sharing based on T-S
fuzzy model. The proposed scheme is proved to be effective under variable operating conditions
through PSIM/Matlab simulation.
KEYWORDS
1. Droop control
2. Autonomous power sharing
3. DC microgrid
4. T-S fuzzy model
5. Sliding mode control (SMC)
SOFTWARE: MATLAB/SIMULINK
ELECTRICAL PROJECTS USING MATLAB/SIMULINK
Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in
0-9347143789/9949240245
For Simulation Results of the project Contact Us
Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in
0-9347143789/9949240245
CONCLUSION:
The novel droop control strategy is proposed for accurate power sharing considering system
parameters uncertainties and load disturbances. The technique is designed by using sliding mode
controller based on T-S fuzzy model of the DC MG. The overall system stability can be assured.
The conclusion is drawn that load changes of the DC MG can be regulated more adaptively.
Meanwhile, the proportional load power sharing can be accurately achieved without any
communication. The proposed method is verified in PSIM/Matlab simulation. Future extensions
of the method can include nonlinear sliding mode droop control of multiple batteries or in
AC/DC hybrid MG.
REFERENCES:
[1]. R. Lasseter, “Microgrids” in Proc. IEEE Power Eng. Soc. Winter Meet.,2002, pp. 305–308.
[2]. S. K. Mazumder, M. Tahir and K. Acharya, “Master – slave current-sharing control of a
parallel DC-DC converter system over an RF communication interface”, IEEE Trans. Ind.
Electron., vol. 55, no. 1, pp. 59-66, Jan. 2008.
[3]. M. N. Iyer, and M. C. Chandorkar, “A generalized computational method to determine
stability of a multi-inverter microgrid,”IEEE Trans. Power. Electron., vol. 25, no. 9, pp. 2420-
2432, Sept. 2010.
[4]. R. Majumder, B. Chaudhuri, A. Ghosh, and F. Zare, “Improvement of stability and load
sharing in an autonomous microgrid using supplementary droop control loop,” IEEE Trans.
Power Syst., vol. 25, no. 2, pp. 796-808, May. 2010.
[5]. P. C. Loh, D. Li, Y. K. Chai and F. Blaabjerg, “Autonomous operation of hybrid microgrid
with AC and DC subgrids”, IEEE Trans. Power Electron., vol. 28, no. 5, pp. 2214-2223, May.
2013.

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Intelligent Power Sharing of DC Isolated Microgrid Based on Fuzzy Sliding Mode Droop Control

  • 1. ELECTRICAL PROJECTS USING MATLAB/SIMULINK Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in 0-9347143789/9949240245 For Simulation Results of the project Contact Us Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in 0-9347143789/9949240245 Intelligent Power Sharing of DC Isolated Microgrid Based on Fuzzy Sliding Mode Droop Control ABSTRACT: Linear droop control can realize power sharing among generators in DC microgrid without relying on critical communication links. However, the droop relationship between output power and voltage magnitude of renewable power generate system is nonlinear with uncertainties and disturbances from renewable sources and loads in practical DC microgrid. A novel droop scheme is proposed for an isolated DC microgrid to solve the nonlinear problem. The control strategy is proposed by using the Takagi-Sugeno (T-S) fuzzy model and sliding mode algorithm. The nonlinear droop characteristics can be represented by T-S model through taking advantage of locally measured output variables. The sliding mode droop controller is designed for compensating the uncertainties and disturbances to derive accurate power sharing based on T-S fuzzy model. The proposed scheme is proved to be effective under variable operating conditions through PSIM/Matlab simulation. KEYWORDS 1. Droop control 2. Autonomous power sharing 3. DC microgrid 4. T-S fuzzy model 5. Sliding mode control (SMC) SOFTWARE: MATLAB/SIMULINK
  • 2. ELECTRICAL PROJECTS USING MATLAB/SIMULINK Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in 0-9347143789/9949240245 For Simulation Results of the project Contact Us Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in 0-9347143789/9949240245 CONCLUSION: The novel droop control strategy is proposed for accurate power sharing considering system parameters uncertainties and load disturbances. The technique is designed by using sliding mode controller based on T-S fuzzy model of the DC MG. The overall system stability can be assured. The conclusion is drawn that load changes of the DC MG can be regulated more adaptively. Meanwhile, the proportional load power sharing can be accurately achieved without any communication. The proposed method is verified in PSIM/Matlab simulation. Future extensions of the method can include nonlinear sliding mode droop control of multiple batteries or in AC/DC hybrid MG. REFERENCES: [1]. R. Lasseter, “Microgrids” in Proc. IEEE Power Eng. Soc. Winter Meet.,2002, pp. 305–308. [2]. S. K. Mazumder, M. Tahir and K. Acharya, “Master – slave current-sharing control of a parallel DC-DC converter system over an RF communication interface”, IEEE Trans. Ind. Electron., vol. 55, no. 1, pp. 59-66, Jan. 2008. [3]. M. N. Iyer, and M. C. Chandorkar, “A generalized computational method to determine stability of a multi-inverter microgrid,”IEEE Trans. Power. Electron., vol. 25, no. 9, pp. 2420- 2432, Sept. 2010. [4]. R. Majumder, B. Chaudhuri, A. Ghosh, and F. Zare, “Improvement of stability and load sharing in an autonomous microgrid using supplementary droop control loop,” IEEE Trans. Power Syst., vol. 25, no. 2, pp. 796-808, May. 2010. [5]. P. C. Loh, D. Li, Y. K. Chai and F. Blaabjerg, “Autonomous operation of hybrid microgrid with AC and DC subgrids”, IEEE Trans. Power Electron., vol. 28, no. 5, pp. 2214-2223, May. 2013.