Providing consumers with high-quality power is the distribution operator's primary goal. Distribution Static Compensator (DSTATCOM), Dynamic Voltage Restorer (DVR), and Unified Power Quality Conditioner (UPQC) are examples of power converter-based custom power devices (CPDs) that are well-known for enhancing the distribution system's power quality. In order to lessen source-side supply power harmonics, DSTACOM is taken into consideration in this work. Any bespoke power device's performance is heavily dependent on the control algorithm utilized for the gating pulse generating method and reference current estimate. In this study, a backpropagation-based control method based on artificial neural network (ANN) principles is used to recover the fundamental weighted values of active and reactive power components from distorted load currents. Even in the presence of nonlinear and unbalanced loading conditions, this intelligent control strategy allows for the precise separation of fundamental and harmonic components. The reference source currents needed for compensation are then estimated using the derived basic components. The basic weighted values of the active and reactive power components of load currents, which are necessary for estimating reference source currents, are extracted in the current work using a control technique based on back propagation. In order to produce switching pulses for the DSTATCOM , an adaptive hysteresis band current control technique is proposed. By using both combinations of techniques the DSTATCOM is developed and simulated under steady state condition. The performance of proposed back propagation control algorithm in a three-phase distribution system under non-linear loads is compared with conventional P-Q theory and superiority of the proposed algorithm is demonstrated under steady state condition.

Keywords: CPDs , DSTATCOM , Back propagation , P-Q theory , Artificial Neural Network (ANN)

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1. Gyugyi L. Active ac power filter. InProc. IEEE/IAS Annual Meeting 1976 (Vol. 529).
2. Myneni H, Kumar GS, Sreenivasarao D. Adaptive dc-link voltage regulation for DSTATCOM under load variations. In2016 IEEE Region 10 Conference (TENCON) 2016 Nov 22 (pp. 2909- 2913). IEEE.
3. Arya SR, Singh B, Chandra A, Al-Haddad K. Power factor correction and zero voltage regulation in distribution system using DSTATCOM. In2012 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES) 2012 Dec 16 (pp. 1-6). IEEE.
4. da Silva CH, Pereira RR, da Silva LE, Lambert-Torres G, Bose BK, Ahn SU. A digital PLL scheme for three-phase system using modified synchronous reference frame. IEEE Transactions on Industrial Electronics. 2010 Feb 8;57(11):3814-21.
5. Pedapenki KK, Gupta SP, Pathak MK. Application of neural networks in power quality. In2015 International Conference on Soft Computing Techniques and Implementations (ICSCTI) 2015 Oct 8 (pp. 116-119). IEEE.
6. Singh B, Arya SR. Back-propagation control algorithm for power quality improvement using DSTATCOM. IEEE transactions on industrial electronics. 2013 Apr 16;61(3):1204-12.
7. Singh B, Jayaprakash P, Kumar S, Kothari DP. Implementation of neural-network-controlled three- leg VSC and a transformer as three-phase four-wire DSTATCOM. IEEE transactions on industry applications. 2011 May 12;47(4):1892-901.
8. Singh B, Adya A, Mittal AP, Gupta JR. Modeling, design and analysis of different controllers for DSTATCOM. In2008 Joint International Conference on Power System Technology and IEEE Power India Conference 2008 Oct 12 (pp. 1-8). IEEE.
9. Rohani A, Joorabian M. Modeling and control of DSTATCOM using adaptive hysteresis band current controller in three-phase four-wire distribution systems. InThe 5th Annual International Power Electronics, Drive Systems and Technologies Conference (PEDSTC 2014) 2014 Feb 5 (pp. 291-297). IEEE.
10. Anuradha E, Naik MB. Power Quality Improvement by Back Propagation Control Algorithm Using DSTATCOM. International Research Journal of Engineering and Technology (IRJET). 2016;3(3):1474-81.

Providing consumers with high-quality power is the distribution operator's primary goal. Distribution Static Compensator (DSTATCOM), Dynamic Voltage Restorer (DVR), and Unified Power Quality Conditioner (UPQC) are examples of power converter-based custom power devices (CPDs) that are well-known for enhancing the distribution system's power quality. In order to lessen source-side supply power harmonics, DSTACOM is taken into consideration in this work. Any bespoke power device's performance is heavily dependent on the control algorithm utilized for the gating pulse generating method and reference current estimate. In this study, a backpropagation-based control method based on artificial neural network (ANN) principles is used to recover the fundamental weighted values of active and reactive power components from distorted load currents. Even in the presence of nonlinear and unbalanced loading conditions, this intelligent control strategy allows for the precise separation of fundamental and harmonic components. The reference source currents needed for compensation are then estimated using the derived basic components. The basic weighted values of the active and reactive power components of load currents, which are necessary for estimating reference source currents, are extracted in the current work using a control technique based on back propagation. In order to produce switching pulses for the DSTATCOM , an adaptive hysteresis band current control technique is proposed. By using both combinations of techniques the DSTATCOM is developed and simulated under steady state condition. The performance of proposed back propagation control algorithm in a three-phase distribution system under non-linear loads is compared with conventional P-Q theory and superiority of the proposed algorithm is demonstrated under steady state condition.

Keywords: CPDs , DSTATCOM , Back propagation , P-Q theory , Artificial Neural Network (ANN)

🔒 This is a subscription article

Full text is available to subscribers and institutional members. Please choose an option below to access it.

1. Gyugyi L. Active ac power filter. InProc. IEEE/IAS Annual Meeting 1976 (Vol. 529).
2. Myneni H, Kumar GS, Sreenivasarao D. Adaptive dc-link voltage regulation for DSTATCOM under load variations. In2016 IEEE Region 10 Conference (TENCON) 2016 Nov 22 (pp. 2909- 2913). IEEE.
3. Arya SR, Singh B, Chandra A, Al-Haddad K. Power factor correction and zero voltage regulation in distribution system using DSTATCOM. In2012 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES) 2012 Dec 16 (pp. 1-6). IEEE.
4. da Silva CH, Pereira RR, da Silva LE, Lambert-Torres G, Bose BK, Ahn SU. A digital PLL scheme for three-phase system using modified synchronous reference frame. IEEE Transactions on Industrial Electronics. 2010 Feb 8;57(11):3814-21.
5. Pedapenki KK, Gupta SP, Pathak MK. Application of neural networks in power quality. In2015 International Conference on Soft Computing Techniques and Implementations (ICSCTI) 2015 Oct 8 (pp. 116-119). IEEE.
6. Singh B, Arya SR. Back-propagation control algorithm for power quality improvement using DSTATCOM. IEEE transactions on industrial electronics. 2013 Apr 16;61(3):1204-12.
7. Singh B, Jayaprakash P, Kumar S, Kothari DP. Implementation of neural-network-controlled three- leg VSC and a transformer as three-phase four-wire DSTATCOM. IEEE transactions on industry applications. 2011 May 12;47(4):1892-901.
8. Singh B, Adya A, Mittal AP, Gupta JR. Modeling, design and analysis of different controllers for DSTATCOM. In2008 Joint International Conference on Power System Technology and IEEE Power India Conference 2008 Oct 12 (pp. 1-8). IEEE.
9. Rohani A, Joorabian M. Modeling and control of DSTATCOM using adaptive hysteresis band current controller in three-phase four-wire distribution systems. InThe 5th Annual International Power Electronics, Drive Systems and Technologies Conference (PEDSTC 2014) 2014 Feb 5 (pp. 291-297). IEEE.
10. Anuradha E, Naik MB. Power Quality Improvement by Back Propagation Control Algorithm Using DSTATCOM. International Research Journal of Engineering and Technology (IRJET). 2016;3(3):1474-81.