Abstract
The main focus of this work is power quality issues such as voltage and frequency fluctuation under load variation, source current distortion and power mismatch between utility and load in a single-phase SEIG-based isolated system. Therefore, this paper addressed the said problems using momentum least mean square control algorithm for single-phase SEIG working in stand-alone operation. The coordinated operation of battery energy storage system and dump load controller is also carried out for better battery performance. The features of this algorithm are its capability to extract desired signal from a fixed amplitude, non-stationary, linear frequency and variable amplitude sinusoidal signals in both noise-free and noisy conditions. The reference current tracking performance is improved by estimating the incremental convergence rate and the momentum term scaled by the factor α in the LMS-based algorithm. Due to the presence of scaling factor with the various weights from preceding two iterations, it is certainly convergent more rapidly. Moreover, it has promised better reliability in reckless atmosphere. This control is verified by computer simulations. The entire system is developed in MATLAB/SIMULINK environment followed by experimental validation of control algorithm.
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Abbreviations
- SEIG:
-
Self-excited induction generator
- MLMS:
-
Momentum least mean square
- VSC:
-
Voltage source converter
- BESS:
-
Battery energy storage system
- DSTATCOM:
-
Distribution static compensator
- i b :
-
Battery current
- V w :
-
Wind velocity
- v t :
-
Terminal voltage magnitude
- v p :
-
In-phase voltage component
- v q :
-
Quadrature phase voltage component
- u pa :
-
In-phase unit voltage template
- u qa :
-
Quadrature phase unit voltage template
- v b :
-
Battery terminal voltage
- f :
-
System frequency
- i spt :
-
Magnitude of active component of reference current
- i sqt :
-
Magnitude of reactive component of reference current
- w(p):
-
Sample of current weight at pth moment
- i dp :
-
Current loss component in compensator
- i qq :
-
Reactive current component from source
- i * spt :
-
Active component of reference current
- i * sqt :
-
Reactive component of reference current
- i s :
-
Source current
- i * s :
-
Reference source current
- α :
-
Momentum scaling factor
- μ :
-
Learning rate
- ω :
-
Angular frequency
- e(p):
-
Current weight error
- P G, P C, P B, P D :
-
Real power of generation, compensator, battery and demand, respectively
- V dc :
-
DC link voltage
- C dc :
-
DC link capacitor
- C exc :
-
Excitation capacitor
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Appendix
Appendix
1.1 Parameters of SEIG
Parameters: Rms = 2.93 Ω, Lms = 0.0267544 H, Rmr = 3.3077 Ω, Lmr = 0.017544 H, Lms = 0.13814 H, J = 0.00290763 J(Kg m2), Las = 0.024007 H; Ras = 5.0268 Ω, Pole pair = 2, Na/Nm = 1.25; Cexc = 80 µF, Auxiliary load: 240 V, 100 Ω, 500 Watt.
1.2 Parameters of supply, DSTATCOM, loads and control logic
System/components/instruments | Rating/parameter | Values |
---|---|---|
Generator (SEIG) data | Voltage rating | 220 V |
Power rating | 2.2 kW | |
No. of poles | 04 | |
Frequency | 50 Hz | |
High-frequency ripple filter | Resistance (Rf) | 8 Ω |
Capacitor (Cf) | 12 µF | |
Load parameters | Active power (P) | 2.5 kW |
Reactive power (Q) | 2.5 kVAR | |
PI controller gains | In frequency loop | kp = 0.22, ki = 0.042 |
In terminal voltage control loop | kp = 0.54, ki = 0.23 | |
VSC data | DC bus voltage (Vdc) | 400 V |
Interfacing inductor (Ls) | 4 mH | |
DC bus capacitor (Cdc) | 8000 µF | |
Battery energy storage system | Voltage | 400 V |
Ampere hour capacity | 7.5 Ah | |
Internal resistance | 0.05 Ω |
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Qureshi, A., Giri, A.K., Arya, S.R. et al. Power conditioning using DSTATCOM in a single-phase SEIG-based isolated system. Electr Eng 104, 111–127 (2022). https://doi.org/10.1007/s00202-021-01423-1
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DOI: https://doi.org/10.1007/s00202-021-01423-1