Improved higher order adaptive sliding mode control for increased efficiency of grid connected hybrid systems
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Masood Ibni Nazir
,
Aijaz Ahmad
Abstract
This paper proposes a hybrid learning algorithm based super twisting sliding mode control (STSMC) of a hybrid wind/photovoltaic (PV) power system for grid connected applications. The gating pulses of the voltage source converter (VSC) are generated by employing adaptive reweighted zero attracting least mean square (RZA-LMS) algorithm. The control law acquiring the super-twisting algorithm generates a continuous and saturated control signal to regulate a hybrid system influenced by disturbances. The proposed control injects sinusoidal currents into the grid with low total harmonic distortion (THD) which improves the steady state & dynamic performance of the system by mitigating power system problems like harmonic injections besides giving satisfactory results under dynamic loading, varying wind speeds and solar insolation. It is a chattering free control which enhances the quality of disturbance rejection and sensitivity to parameter variation. It also caters to abnormal conditions like voltage distortions, DC link variations and reduces the latter by a factor of 80 V besides reducing switch stress by a factor of 5 V. This control exhibits robustness against model uncertainties and external disturbances. Also, the loss component is reduced which decreases the unmodelled losses. It also ensures efficient power flow between the grid, hybrid source and the load. The efficacy of the system is verified in MATLAB/Simulink. Improvements are also observed during dynamic conditions in terms of reduced fluctuations, steady state error and peak overshoot.
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Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
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Research funding: None declared.
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Conflict of interest statement: The authors declare no conflicts of interest regarding this article.
Wind Turbine: Cut in speed = 6 m/s, Rated wind speed = 12 m/s, C
pmax
= 0.48,
PV Array: Number of series modules, N
s
= 23, Number of parallel modules, N
p
= 7, Number of cells, N = 54, Temperature, T = 298 K, Series equivalent resistance, R
s
= 0.221
System Parameters: Boost converter inductance, L
b
= 10 mH, DC link capacitance, C
dc
= 10,000 μF, K
p
= 1, K
i
= 0, V
dc
= 700 V, Adaptive filter constant, μ
n
= 0.01, ρ
n
= 0.006, ϵ = 0.002, Interfacing inductance, L
int
= 5 mH, 3 phase grid voltage, V
abc
= 415 V (rms),
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© 2021 Walter de Gruyter GmbH, Berlin/Boston
Articles in the same Issue
- Frontmatter
- Research Articles
- Differential positive sequence power angle-based microgrid feeder protection
- Real-time hardware emulation of wind turbine model with asynchronous generator under hardware-in-the-loop platform
- Frequency stability analysis with fuzzy adaptive selfish herd optimization based optimal sliding mode controller for microgrids
- Seamless control of grid-tied PV-Hybrid Energy Storage System
- Improved higher order adaptive sliding mode control for increased efficiency of grid connected hybrid systems
- Optimal siting of solar based distributed generation (DG) in distribution system for constant power load model
- Electricity demand modeling techniques for hybrid solar PV system
- Robust decentralized model predictive load-frequency control design for time-delay renewable power systems
- A techno-economic analysis of the roof top off-grid solar PV system for Jamshedpur, Jharkhand, India
Articles in the same Issue
- Frontmatter
- Research Articles
- Differential positive sequence power angle-based microgrid feeder protection
- Real-time hardware emulation of wind turbine model with asynchronous generator under hardware-in-the-loop platform
- Frequency stability analysis with fuzzy adaptive selfish herd optimization based optimal sliding mode controller for microgrids
- Seamless control of grid-tied PV-Hybrid Energy Storage System
- Improved higher order adaptive sliding mode control for increased efficiency of grid connected hybrid systems
- Optimal siting of solar based distributed generation (DG) in distribution system for constant power load model
- Electricity demand modeling techniques for hybrid solar PV system
- Robust decentralized model predictive load-frequency control design for time-delay renewable power systems
- A techno-economic analysis of the roof top off-grid solar PV system for Jamshedpur, Jharkhand, India
