Deep Belief Learning Network Based IC- DSTATCOM For PQ Analysis

Mrutyunjaya Mangaraj, Sushil Kumar Bhoi, Jogeswara Sabat

Abstract


The varieties of energy structures that afford large amounts of energy to the global power economy has led to a reduced quality in the power distribution network (PDN). Most traditional methods use direct coupled distributed static compensator (DC-DSTATCOM) which is dependent on specific line parameters. Hence, it performs poor adaptability to the PDN. Aim at enhancing power quality (PQ); this study focuses on the deep belief learning network (DBLN) controlled inductively coupled distributed static compensator (IC-DSTATCOM). Considering the system variation and impact, an individual DBLN structure is accumulated for each and every phase. The weight obtained from the DBLN mechanism is caused for reference currents generation. The filtering performance of the IC-DSTATCOM is revealed better by combining the effect of the transformer and DSTATCOM impedance. So, the IC-DSTATCOM is augmented with better dynamic performance with PQ abilities as compared to DC-DSTATCOM in terms of shunt compensation such as, THD reduction, power factor (p.f.) improvement, better voltage regulation and load balancing etc. The IEEE - 2030 - 7 - 2017 and IEC - 61000 - 1 grid code are used to evaluate the effectiveness as per the benchmark value using MATLAB/Simulink.


Keywords


DBLN technique, DC-DSTATCOM, IC-DSTATCOM, PQ

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References


J. Hussain, M. Hussain, S. Raza and M. Siddique, “Power quality improvement of grid connected wind energy system using DSTATCOM-BESS”, International Journal of Renewable Energy Research, vol. 9, no. 3, pp.1388-1397, 2019.

yousfi abdelkader, Tayeb Allaoui, Chaker Abdelkader, “Power Quality Improvement Based on Five-Level Shunt APF Using Sliding Mode Control Scheme Connected to a Photovoltaic”, International Journal of Smart Grid, Vol. 1, No. 1, pp.9-15, 2017.

A. Alili, A. A. Ameri, M. B. Camara and B. Dakyo, "Open-circuit fault detection method for Grid-side Three-level NPC Inverter," 2021 10th International Conference on Renewable Energy Research and Application(ICRERA),doi:10.1109/ICRERA52334.2021.9598587, pp. 120-124, 2021.

R. V. Thakur, S. K.. Mishra, M. Mangaraj, “Power Quality Enhancement Using Distributed Static Compensator in Direct Coupled Mode” , International Journal of Renewable Energy Research, vol. 12, no. 3, pp.1435-1441, 2022.

W. -K. Sou, P. -I. Chan, C. Gong and C. -S. Lam, "Finite-Set Model Predictive Control for Hybrid Active Power Filter", IEEE Transactions on Industrial Electronics, vol. 70, no. 1, pp. 52-64, Jan. 2023.

D. Kiadehi, K. El Khamlichi Drissi and C. Pasquier, "Adapted NSPWM for Single DC-Link Dual-Inverter Fed Open-End Motor with Negligible Low-Order Harmonics and Efficiency Enhancement," IEEE Transactions on Power Electronics, vol. 31, no. 12, pp. 8271-8281, Dec. 2016.

C. Kumar and M. K. Mishra, "A Voltage-Controlled DSTATCOM for Power-Quality Improvement," IEEE Transactions on Power Delivery, vol. 29, no. 3, pp. 1499-1507, June 2014.

A. Radwan, I. Khouri and X. Jiang, "Modeling and Control of Current-Source Converter-Based AC Microgrids," 2020 IEEE 8th International Conference on Smart Energy Grid Engineering (SEGE), doi: 10.1109/SEGE49949.2020.9181969, pp. 97-101, 2020.

A. M. Colak, Y. Tawada, R. Inzunza and T. Ambo, "Evaluation of Interoperability Functions via Modbus-TCP for Photovoltaic Inverters," 2021 10th International Conference on Renewable Energy Research and Application (ICRERA), doi: 10.1109/ICRERA52334.2021.9598491, pp. 111-115, 2021.

A. Alili, A. A. Ameri, M. B. Camara and B. Dakyo, "Open-circuit fault detection method for Grid-side Three-level NPC Inverter," 2021 10th International Conference on Renewable Energy Research and Application(ICRERA),doi:10.1109/ICRERA52334.2021.9598587, pp. 120-124, 2021.

M. Mangaraj, V. D. Naidu, K. Priyanka and J. Sabat, "Comparative Analysis between Inductor Coupled T type split and self supported capacitor based DSTATCOM", 2020 IEEE International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC), pp. 1-5, 2020.

S. Jha, B. Singh and S. Mishra, "Control of ILC in an Autonomous AC–DC Hybrid Microgrid With Unbalanced Nonlinear AC Loads," IEEE Transactions on Industrial Electronics, vol. 70, no. 1, pp. 544-554, Jan. 2023.

M. Mangaraj and J. Sabat, "Analysis & Control Design of Different Level VSI Based DSTATCOM," 2021 1st International Conference on Power Electronics and Energy (ICPEE), pp. 1-5, 2021.

R. Kumar, H. O. Bansal, A. R. Gautam, O. P. Mahela and B. Khan, "Experimental Investigations on Particle Swarm Optimization Based Control Algorithm for Shunt Active Power Filter to Enhance Electric Power Quality", IEEE Access, vol. 10, pp. 54878-54890, 2022.

M. Mangaraj & J. Sabat, "MVSI and AVSI supported DSTATCOM for PQ Analysis", IETE Journal of Research, 2021, doi: 10.1080/03772063.2021.1920850

S. Sharma, V. Verma, M. Tariq and S. Urooj, "Reduced Sensor-Based Harmonic Resonance Detection and its Compensation in Power Distribution System With SAPF", IEEE Access, vol. 10, pp. 59942-59958, 2022.

C. Zhao et al., "Novel Method Based on Variational Mode Decomposition and a Random Discriminative Projection Extreme Learning Machine for Multiple Power Quality Disturbance Recognition," IEEE Transactions on Industrial Informatics, vol. 15, no. 5, pp. 2915-2926, May 2019.

O. A. Alimi, K. Ouahada and A. M. Abu-Mahfouz, "A Review of Machine Learning Approaches to Power System Security and Stability," IEEE Access, vol. 8, pp. 113512-113531, 2020.

M. Sahani and P. K. Dash, "Automatic Power Quality Events Recognition Based on Hilbert Huang Transform and Weighted Bidirectional Extreme Learning Machine," IEEE Transactions on Industrial Informatics, vol. 14, no. 9, pp. 3849-3858, Sept. 2018.

J. Sabat, M. Mangaraj, “GLMS control strategy based DSTATCOM for PQ enhancement: modeling and comparative analysis”, Energy Syst, 2021. https://doi.org/10.1007/s12667-021-00489-x

M. A. Oliván, J. Bruna, R. Matute, A. Mareca and D. Cervero, "A Computer-Based IEC 61850 Sampled Values Analyzer for Parallel Power Quality Analysis", IEEE Transactions on Instrumentation and Measurement, vol. 71, pp. 1-8, Art no. 9003908, 2022.

J. Sabat, M. Mangaraj, A. K. Barisal, A. K. Patra, A. K. Chahattaray, "Performance Evaluation of BB-QZSI Based DSTATCOM under Dynamic Load Condition" Power Electronics and Drives, vol. 7, no. 42,pp. 43-55, 2022.

C. Kumar, M. K. Mishra and M. Liserre, "Design of External Inductor for Improving Performance of Voltage-Controlled DSTATCOM," IEEE Transactions on Industrial Electronics, vol. 63, no. 8, pp. 4674-4682, Aug. 2016.

J. Sabat, M. Mangaraj, "Experimental Study of T-I-VSI-Based DSTATCOM Using ALMS Technique for PQ Analysis", J. Inst. Eng. India Ser. B, 2022. https://doi.org/10.1007/s40031-022-00812-9

J. Sabat, M. Mangaraj, "Operation and Control Performance of Interactive DZSI-Based DSTATCOM", J. Inst. Eng. India Ser. B, vol. 103, pp.1259–1267, 2022.

M. Mangaraj & J. Sabat, "PQ assessment of EDS with DER penetration by DVSI-based DSTATCOM using an ALMS control algorithm", International Journal of Ambient Energy, 2022. doi: 10.1080/01430750.2022.2075931

M. BarghiLatran, A. Teke and Y. Yolda?, "Mitigation of power quality problems using distribution static synchronous compensator: a comprehensive review," IET Power Electronics, vol. 8, no. 7, pp. 1312-1328, July 2015.

M. Mangaraj, AK. Panda, "Sparse LMS algorithm for two-level DSTATCOM" IET Gener Transm Distrib, vol. 15,pp. 86– 96, 2021.

J. Ying et al., "Classification of Exacerbation Frequency in the COPDGene Cohort Using Deep Learning With Deep Belief Networks," IEEE Journal of Biomedical and Health Informatics, vol. 24, no. 6, pp. 1805-1813, June 2020.

M. Khodayar, G. Liu, J. Wang and M. E. Khodayar, "Deep learning in power systems research: A review," CSEE Journal of Power and Energy Systems, vol. 7, no. 2, pp. 209-220, March 2021.

J. Salas, F. de Barros Vidal and F. Martinez-Trinidad, "Deep Learning: Current State," IEEE Latin America Transactions, vol. 17, no. 12, pp. 1925-1945, December 2019.

W. Huang, G. Song, H. Hong and K. Xie, "Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning," IEEE Transactions on Intelligent Transportation Systems, vol. 15, no. 5, pp. 2191-2201, Oct. 2014.

Mrutyunjaya Mangaraj, Jogeswara Sabat, Ajit K. Barisal, K. Subba Ramaiah, and Gudivada E. Rao. "VSC based DSTATCOM for PQ Improvement: A Deep Learning- Approach". Power Electronics and Drives vol. 7, no. 42, pp. 174-186, 2022.




DOI (PDF): https://doi.org/10.20508/ijrer.v13i1.13501.g8674

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