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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
Development of Wind and Solar Based AC Microgrid with
Power Quality Improvement for Local Nonlinear Load using
MLMS
ABSTRACT:
This work proposes a microgrid (μ-grid) integrating wind and solar photovoltaic (PV) resources,
along with the battery energy storage (BES) to the three phase grid feeding the nonlinear load.
The μ-grid disconcerted by probabilistic nonlinear time dependent parameters and their effects
are compensated by cohesive controllers used for utility grid side voltage source converter
(GVSC) and machine side VSC (MVSC). The switching controls and the reconfigurability of the
μ-grid are addressed on imperative aspects of improving power quality (PQ), power reliability,
nonlinear load compensation and economic utilization of resources. The nonlinear load
compensation and PQ enhancement are achieved by executing modified version of the adaptive
filtering technique including “momentum” based least mean square (MLMS) control technique,
utilized for providing the switching control signals to the GVSC. It utilizes two preceding
gradient weights for obtaining updated weight thereby improving the convergence rate and
overcoming the limitation of conventional control of the same family. The MVSC acquires its
switching signals from conventional vector control scheme and the encoderless estimation of
speed and rotor position of the synchronous generator (SG) driven by wind turbine through back
electromotive force control technique. The external environmental disturbances are overcome by
utilizing perturb and observe (P&O) maximum power point (MPP) for wind optimal power
extraction and adaptive P&O with variable perturbation step size for solar MPP estimation. Test
results are obtained from the laboratory prototype under steady state and dynamic conditions
including altering wind speed, intermittent solar insolation and variable load conditions. The PQ
issues are addressed and investigated successfully.
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
KEYWORDS:
1. Wind Power Generation
2. Solar PV Power Generation
3. AC Microgrid
4. MLMS
5. MPP and Power Quality
SOFTWARE: MATLAB/SIMULINK
CONCLUSION:
The proposed wind-solar AC microgrid has been designed and implemented to illustrate its
improved PQ performance for local nonlinear load using MLMS adaptive control. The weight
component and system performance using MLMS has been found with reduced oscillations.
Effectiveness of the MLMS is realized through successful harmonic elimination, extraction of
load current fundamental component with low static error and faster convergence rate. The wide
range of wind speeds, solar insolation and load variations have been considered and the test
results obtained from the prototype provide exceedingly well performance for the entire
operational range. The grid current THD has been found well within the IEEE-519 harmonic
standard. The proposed system has operated well under all the dynamic conditions as well as the
power quality issues are mitigated satisfactorily.
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
REFERENCES:
[1] R. Cuzner, “The socially responsible microgrid,” IEEE Electrif. Mag., vol. 6, no. 4, pp. 2-5,
Dec. 2018.
[2] P. J. Chauhan, B. D. Reddy, S. Bhandari and S. K. Panda, “Battery energy storage for
seamless transitions of wind generator in standalone microgrid,” IEEE Trans. Ind. Appl., vol. 55,
no. 1, pp. 69-77, Jan.-Feb. 2019.
[3] M. Farhadi and O. Mohammed, “Energy storage technologies for high-power applications,”
IEEE Trans. Ind. Appl., vol. 52, no. 3, pp. 1953-1961, May-June 2016.
[4] X. Hou, Y. Sun, J. Lu, X. Zhnag, L. H. Koh, M. Su and J. M. Guerrero, “Distributed
hierarchical control of AC microgrid operating in grid-connected, islanded and their transition
modes,” IEEE Access, vol. 6, pp. 77388-77401, 2018.
[5] S. Boudoudouh and M. Maaroufi, “Renewable energy sources integration and control in
railway microgrid,” IEEE Trans. Ind. Appl., Early Access, 2019.

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Development of wind and solar based ac microgrid with power quality improvement for local nonlinear load using mlms

  • 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 Development of Wind and Solar Based AC Microgrid with Power Quality Improvement for Local Nonlinear Load using MLMS ABSTRACT: This work proposes a microgrid (μ-grid) integrating wind and solar photovoltaic (PV) resources, along with the battery energy storage (BES) to the three phase grid feeding the nonlinear load. The μ-grid disconcerted by probabilistic nonlinear time dependent parameters and their effects are compensated by cohesive controllers used for utility grid side voltage source converter (GVSC) and machine side VSC (MVSC). The switching controls and the reconfigurability of the μ-grid are addressed on imperative aspects of improving power quality (PQ), power reliability, nonlinear load compensation and economic utilization of resources. The nonlinear load compensation and PQ enhancement are achieved by executing modified version of the adaptive filtering technique including “momentum” based least mean square (MLMS) control technique, utilized for providing the switching control signals to the GVSC. It utilizes two preceding gradient weights for obtaining updated weight thereby improving the convergence rate and overcoming the limitation of conventional control of the same family. The MVSC acquires its switching signals from conventional vector control scheme and the encoderless estimation of speed and rotor position of the synchronous generator (SG) driven by wind turbine through back electromotive force control technique. The external environmental disturbances are overcome by utilizing perturb and observe (P&O) maximum power point (MPP) for wind optimal power extraction and adaptive P&O with variable perturbation step size for solar MPP estimation. Test results are obtained from the laboratory prototype under steady state and dynamic conditions including altering wind speed, intermittent solar insolation and variable load conditions. The PQ issues are addressed and investigated successfully.
  • 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 KEYWORDS: 1. Wind Power Generation 2. Solar PV Power Generation 3. AC Microgrid 4. MLMS 5. MPP and Power Quality SOFTWARE: MATLAB/SIMULINK CONCLUSION: The proposed wind-solar AC microgrid has been designed and implemented to illustrate its improved PQ performance for local nonlinear load using MLMS adaptive control. The weight component and system performance using MLMS has been found with reduced oscillations. Effectiveness of the MLMS is realized through successful harmonic elimination, extraction of load current fundamental component with low static error and faster convergence rate. The wide range of wind speeds, solar insolation and load variations have been considered and the test results obtained from the prototype provide exceedingly well performance for the entire operational range. The grid current THD has been found well within the IEEE-519 harmonic standard. The proposed system has operated well under all the dynamic conditions as well as the power quality issues are mitigated satisfactorily.
  • 3. 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 REFERENCES: [1] R. Cuzner, “The socially responsible microgrid,” IEEE Electrif. Mag., vol. 6, no. 4, pp. 2-5, Dec. 2018. [2] P. J. Chauhan, B. D. Reddy, S. Bhandari and S. K. Panda, “Battery energy storage for seamless transitions of wind generator in standalone microgrid,” IEEE Trans. Ind. Appl., vol. 55, no. 1, pp. 69-77, Jan.-Feb. 2019. [3] M. Farhadi and O. Mohammed, “Energy storage technologies for high-power applications,” IEEE Trans. Ind. Appl., vol. 52, no. 3, pp. 1953-1961, May-June 2016. [4] X. Hou, Y. Sun, J. Lu, X. Zhnag, L. H. Koh, M. Su and J. M. Guerrero, “Distributed hierarchical control of AC microgrid operating in grid-connected, islanded and their transition modes,” IEEE Access, vol. 6, pp. 77388-77401, 2018. [5] S. Boudoudouh and M. Maaroufi, “Renewable energy sources integration and control in railway microgrid,” IEEE Trans. Ind. Appl., Early Access, 2019.