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Enhancing Power Quality in Grid-Integrated Hybrid Renewable Energy System using ANFIS-FBSO

Manpreet Singh

Manpreet Singh

IKGPTU, Baba Banda Singh Bahadur Engineering College, Electrical Engineering DepartmentJalandhar, India
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Lakhwinder Singh

Lakhwinder Singh

Baba Banda Singh Bahadur Engineering College, Electrical Engineering DepartmentFatehgarh Sahib,
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Singh, Lakhwinder
  
29 lip 2025
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Kategoria artykułu: Special issue paper
Data publikacji: 29 lip 2025
Zakres stron: 189 - 209
Otrzymano: 30 kwi 2025
Przyjęty: 09 lip 2025
DOI: https://doi.org/10.2478/pead-2025-0014
Słowa kluczowe
© 2025 Manpreet Singh et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Figure 1.

Architecture of a smart grid-connected hybrid renewable energy storage system.
Architecture of a smart grid-connected hybrid renewable energy storage system.

Figure 2.

Diagram of the self-tuned, wavelet-based MRPID optimised controller. MRPID, multi-resolution proportional-integral-derivative.
Diagram of the self-tuned, wavelet-based MRPID optimised controller. MRPID, multi-resolution proportional-integral-derivative.

Figure 3.

Structure of ANFIS model. ANFIS, adaptive neuro-fuzzy inference system.
Structure of ANFIS model. ANFIS, adaptive neuro-fuzzy inference system.

Figure 4.

MATLAB/Simulink model of the HRES system with the proposed controller. HRES, hybrid renewable energy system.
MATLAB/Simulink model of the HRES system with the proposed controller. HRES, hybrid renewable energy system.

Figure 5.

Simulation output of (a) PV irradiance and power, (b) wind speed and power and (c) battery SOC and power. PV, photovoltaic; SOC, state of charge.
Simulation output of (a) PV irradiance and power, (b) wind speed and power and (c) battery SOC and power. PV, photovoltaic; SOC, state of charge.

Figure 6.

Simulation output in a sag condition (a) source voltage, load voltage and injected voltage and (b) source current, load current and injected current.
Simulation output in a sag condition (a) source voltage, load voltage and injected voltage and (b) source current, load current and injected current.

Figure 7.

Simulation output of (a) PV irradiance and power and (b) wind speed and power. PV, photovoltaic.
Simulation output of (a) PV irradiance and power and (b) wind speed and power. PV, photovoltaic.

Figure 8.

Simulation output in a swell condition (a) source voltage, load voltage and injected voltage and (b) source current, load current and injected current.
Simulation output in a swell condition (a) source voltage, load voltage and injected voltage and (b) source current, load current and injected current.

Figure 9.

Analysis of (a) PV irradiance and power and (b) wind speed and power. PV, photovoltaic.
Analysis of (a) PV irradiance and power and (b) wind speed and power. PV, photovoltaic.

Figure 10.

Simulation output of voltage disturbance circumstances in the source, load and injected voltage.
Simulation output of voltage disturbance circumstances in the source, load and injected voltage.

Figure 11.

Comparative analysis of output (a) real power and (b) reactive power.
Comparative analysis of output (a) real power and (b) reactive power.

Figure 12.

(a) Comparative analysis of THD of the proposed method and (b) comparative analysis of THD of existing methods. THD, total harmonic distortion.
(a) Comparative analysis of THD of the proposed method and (b) comparative analysis of THD of existing methods. THD, total harmonic distortion.

Comparison of computational time_

Techniques Proposed technique (ANFIS-FBSO) CFA-ANFIS (Daweri et al., 2020) PSO-ANFIS (Robati and Iranmanesh, 2020) EHO-FUZZY (Drias and Drias, 2024) GWO-FUZZY (Sun et al., 2023) ASO (Goud and Rao, 2021)
Execution time (ms) 480 497 510 510 514 590

THD comparison between existing and proposed method_

Method THD level
5 7 11 13 17 19 23 25 29
Proposed system without compensation 25 29 23 49 19 9 20 9 5
Proposed technique (ANFIS-FBSO) 10 4 2 4 8 2 4 1 0
CFA-ANFIS (Daweri et al., 2020) 8 8 3 5 10 4 5 6 2
PSO-ANFIS (Robati and Iranmanesh, 2020) 14 8 4 7 13 3 8 4 2
EHO-FUZZY (Drias and Drias, 2024) 23 15 16 20 9 7 6 4 4
GWO-FUZZY (Sun et al., 2023) 36 10 12 19 10 5 5 3 2
ASO (Goud and Rao, 2021) 12 6 3 5 10 3 5 0 1

Characteristics of proposed technique_

Parameters Techniques Values
Nominal voltage Battery 26.4 V
Rated capacity 6.6 Ah
Discharge current 2.86 A
Voltage at open-circuit conditions PV 64.2 V
Current at short circuit conditions 5.96 A
Voltage at maximum power point 54.7 V
Current at maximum power point 5.58 A
Maximum value of current WT 19 A
Maximum value of voltage 500 V
Number of membership functions ANFIS 5
Membership function Gaussian bell
No. of populations FBSO 50
No. of iterations 50
Język:
Angielski
Częstotliwość wydawania:
1 razy w roku
Dziedziny czasopisma:
Informatyka, Sztuczna inteligencja, Inżynieria, Elektrotechnika, Elektronika
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