Cite

Arya, S. R. and Singh, B. (2013). Performance of DSTATCOM using leaky LMS control algorithm. IEEE Journal of Emerging and Selected Topics in Power Electronics,1(2), pp. 104–113.10.1109/JESTPE.2013.2266372 Search in Google Scholar

Arya, S. R., Niwas, R., Bhalla, K. K., Singh, B., Chandra, A. and Al-Haddad, K. (2015). Power quality improvement in isolated distributed power generating system using DSTATCOM. IEEE Transactions on Industry Applications, 51(6), pp. 4766–4774.10.1109/TIA.2015.2451093 Search in Google Scholar

Badoni, M., Singh, A. and Singh, B. (2016). Adaptive neurofuzzy inference system least-mean-square-based control algorithm for DSTATCOM. IEEE Transactions on Industrial Informatics,12(2), 483–492.10.1109/TII.2016.2516823 Search in Google Scholar

Bayu, A. (2020). Power quality enhancement using DSTATCOM in industry plants. Power Electronics and Drives,5(1), pp. 157–175. doi:10.2478/pead-2020-0012. Open DOISearch in Google Scholar

Cai, K., Cao, W., Aarniovuori, L., Pang, H., Lin, Y. and Li, G. (2019). Classification of power quality disturbances using Wigner-Ville distribution and deep convolutional neural networks. IEEE Access, 7, pp. 119099–119109.doi: 10.1109/ACCESS.2019.2937193. Open DOISearch in Google Scholar

Li, Y., Li, J. and Wang, Y. (2022). Privacy-preserving spatiotemporal scenario generation of renewable energies: A federated deep generative learning approach. IEEE Transactions on Industrial Informatics, 18(4), pp. 2310–2320.10.1109/TII.2021.3098259 Search in Google Scholar

Liao, H., Milanović, J. V., Rodrigues, M. and Shenfield, A. (2018). Voltage sag estimation in sparsely monitored power systems based on deep learning and system area mapping. IEEE Transactions on Power Delivery, 33(6), pp. 3162–3172.doi: 10.1109/TPWRD.2018.2865906. Open DOISearch in Google Scholar

Liu, B., Wei, Q., Zou, C. and Duan, S. (2018). Stability analysis of LCL-type grid-connected inverter under single-loop inverter-side current control with capacitor voltage feedforward. IEEE Transactions Industrial Informatics, 14(2), pp. 691–702.10.1109/TII.2017.2766890 Search in Google Scholar

Liu, Y., Zhang, W., Sun, Y., Su, M., Xu, G. and Dan, H. (2022). Review and comparison of control strategies in active power decoupling. IEEE Transactions on Power Electronics,36(12), pp. 14436–14455. doi: 10.1109/TPEL.2021.3087170. Open DOISearch in Google Scholar

Mangaraj, M. (2021). Operation of Hebbian least mean square controlled distributed static compensator. IET Generation, Transmission & Distribution, 15(3), pp. 1939–1948. doi: 10.1049/gtd2.12146. Open DOISearch in Google Scholar

Mangaraj, M. and Panda, A. K. (2017). Performance analysis of DSTATCOM employing various control algorithms. IET Generation, Transmission and Distribution,11(10), pp. 2643–2653.10.1049/iet-gtd.2016.1833 Search in Google Scholar

Mangaraj, M. and Panda, A. K. (2019). Modelling and simulation of KHLMS algorithm-based DSTATCOM. IET Power Electronics, 12(9), pp. 2304-2311.10.1049/iet-pel.2018.5625 Search in Google Scholar

Mangaraj, M., Panda, A. K., Penthia, T. and Dash, A. R. (2020). An adaptive LMBP training based control technique for DSTATCOM. IET Generation, Transmission and Distribution, 14(3), pp. 516-524.10.1049/iet-gtd.2018.6295 Search in Google Scholar

Mangaraj, M., Sabat, J., Barisal, A.K., Patra, A.K.and Chahattaray, A.K. (2022). Performance evaluation of BB-QZSI based DSTATCOM under dynamic load condition. Power Electronics and Drives,7(1), pp. 43–55.10.2478/pead-2022-0004 Search in Google Scholar

Pan, D., Ruan, X., Wang, X., Yu, H. and Xing, Z. (2017). Analysis and design of current control schemes for LCL-type grid-connected inverter based on a general mathematical model. IEEE Transactions on Power Electronics, 32(6), pp. 4395–4410.10.1109/TPEL.2016.2602219 Search in Google Scholar

Panda, A. K. and Mangaraj, M. (2017). DSTATCOM employing hybrid neural network control technique for power quality improvement. IET Power Electronics,10(4), pp. 480–489.10.1049/iet-pel.2016.0556 Search in Google Scholar

Papadopoulos, S., Rashed, M., Klumpner, C. and Wheeler, P. (2016). Investigations in the modeling and control of a medium-voltage hybrid inverter system that uses a low-voltage/low-power rated auxiliary current source inverter. Journal of Emerging and Selected Topics in Power Electronics, 4(1), pp. 126–140.10.1109/JESTPE.2015.2488631 Search in Google Scholar

Pehlevan, C., Hu, T. and Chklovskii, D. B. (2015). A Hebbian/anti-Hebbian neural network for linear subspace learning: A derivation from multidimensional scaling of streaming data. International Journal of Neural Computation, 27(7), pp. 1461–1495.10.1162/NECO_a_0074525973548 Search in Google Scholar

Qasim, M., Kanjiya, P. and Khadkikar, V. (2014). Optimal current harmonic extractor based on unified ADALINEs for shunt active power filters. IEEE Transactions Power Electronics, 29(12), pp. 6383–6393.10.1109/TPEL.2014.2302539 Search in Google Scholar

Saribulut, L., Teke, A. and Tümay, M. (2014). Artificial neural network-based discrete-fuzzy logic controlled active power filter. IET Power Electronics, 7(6), pp. 1536–1546.10.1049/iet-pel.2013.0522 Search in Google Scholar

Singh, B., Jayaprakash, P., Kothari, D. P., Chandra, A. and Haddad, K. A. (2014). Comprehensive study of DSTATCOM configurations. IEEE Transactions on Industrial Informatics, 10(2), pp. 854–870.10.1109/TII.2014.2308437 Search in Google Scholar

Siri, B., Berry, H., Cessac, B., Delord, B. and Quoy, M. (2008). A Mathematical analysis of the effects of Hebbian learning rules on the dynamics and structure of discrete-time random recurrent neural networks. International Journal of Neural Computation, 20(12), pp. 2937–2966.10.1162/neco.2008.05-07-53018624656 Search in Google Scholar

Srinivas, M., Hussain, I. and Singh, B. (2016). Combined LMS–LMF-based control algorithm of DSTATCOM for power quality enhancement in distribution system. IEEE Transactions on Industrial Electronics, 63(7), pp. 4160–4168.10.1109/TIE.2016.2532278 Search in Google Scholar

Tang, Y., Loh, P. C., Wang, P., Choo, F. H., Gao, F. and Blaabjerg, F. (2012). Generalized design of high performance shunt active power filter with output LCL filter. IEEE Transactions on Industrial Electronics, 59(3), pp. 1443–1452.10.1109/TIE.2011.2167117 Search in Google Scholar

Zhang, D., Han, X. and Deng, C. (2018). Review on the research and practice of deep learning and reinforcement learning in smart grids. CSEE Journal of Power Energy Systems, 4(3), pp. 362–370.10.17775/CSEEJPES.2018.00520 Search in Google Scholar

Zhang, T. and Mao, S. (2020). Smart power control for quality-driven multi-user video transmissions: A deep reinforcement learning approach. IEEE Access, 8, pp. 611–622.doi: 10.1109/ACCESS.2019.2961914. Open DOISearch in Google Scholar

eISSN:
2543-4292
Language:
English
Publication timeframe:
Volume Open
Journal Subjects:
Computer Sciences, Artificial Intelligence, Engineering, Electrical Engineering, Electronics