Performance analysis of SRFT based D-STATCOM for power quality improvement in distribution system under different loading conditions
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Vijay Sirohi
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Mandeep Singh
Abstract
Presently the term “Power Quality” is gaining more and more attention due to different kinds of non-linearities induced by various converters used in the industries. Power quality is all about assessing and maintaining optimal quality of power during various stages of the power system ranging from generation to distribution. This research intends to provide a better understanding to various researchers about the applications of the Distribution Static Compensator (D-STATCOM) in mitigating various power quality concerns typically focused on harmonics elimination and voltage profile improvement. D-STATCOM is designed and installed in the distribution network to maintain reactive power demand, harmonic mitigation, and power factor correction. A Synchronous Reference Frame Theory (SRFT) based control technique is adopted to extract reference current. The behavior of the system with and without D-STATCOM is analyzed in detail for various loads. As a result, this study presents various ideas, adjustments, and compensating methods for several loading conditions. Finally, it is found that the current THD has been considerably improved under various loading conditions.
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Research ethics: Not applicable.
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Author contributions: The authors have accepted responsibility for the entire content of this manuscript and approved its submission.
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Competing interests: The authors state no conflict of interest.
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Research funding: None declared.
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Data availability: Not applicable.
References
1. Ashitha, T, Shahin, A, Cheriyan, EP, Ramchand, R. FPGA controlled D-STATCOM under distorted grid condition. In: IEEE region 10 annual international conference, proceedings/TENCON 2017-Decem. Hong Kong: IEEE Region 10; 2017:2594–9 pp.10.1109/TENCON.2017.8228299Search in Google Scholar
2. Bajaj, M, Pushkarna, M, Rana, AS, Khan, MT. An improved SRF based control algorithm for D-STATCOM under abnormal source voltage. In: 12th IEEE international conference electronics, energy, environment, communication, computer, control: (E3-C3), INDICON 2015. New Delhi: IEEE; 2016:1–6 pp.10.1109/INDICON.2015.7443406Search in Google Scholar
3. Karare, S, Harne, VM. Modelling and simulation of improved operation of D-STATCOM in distribution system for power quality improvement using MATLAB Simulink tool. In: Proceedings of the international conference on electronics, communication and aerospace technology, ICECA 2017, 2017-January. Coimbatore: IEEE; 2017:346–50 pp.10.1109/ICECA.2017.8212831Search in Google Scholar
4. Singh, B, Jayaprakash, P, Kothari, DP, Chandra, A, Haddad, KA. Comprehensive study of D-STATCOM configurations. IEEE Trans Ind Inf 2014;10:854–70. https://doi.org/10.1109/TII.2014.2308437.Search in Google Scholar
5. Chakraborty, S, Das, S, Sidhu, T, Siva, AK. Smart meters for enhancing protection and monitoring functions in emerging distribution systems. Int J Electr Power Energy Syst 2021;127:106626. https://doi.org/10.1016/j.ijepes.2020.106626.Search in Google Scholar
6. Gupta, G, Fritz, W, Kahn, MTE. A comprehensive review of D-STATCOM: control and compensation strategies. Int J Appl Eng Res 2017;12:387–93.Search in Google Scholar
7. Saggu, TS, Singh, L, Gill, B. Harmonics mitigation in a steel industry using 11-level cascaded multilevel inverter-based D-STATCOM. Can J Electr Comput Eng 2017;40:110–5. https://doi.org/10.1109/CJECE.2017.2681686.Search in Google Scholar
8. Bhukya, J, Naidu, TA, Vuddanti, S, Konstantinou, C. Coordinated control and parameters optimization for PSS, POD and SVC to enhance the transient stability with the integration of DFIG based wind power systems. Int J Emerg Elec Power Syst 2022;23:359–79. https://doi.org/10.1515/ijeeps-2021-0098.Search in Google Scholar
9. Salmeron, P, Litrán, SP. Improvement of the electric power quality using series active and shunt passive filters. IEEE Trans Power Deliv 2010;25:1058–67. https://doi.org/10.1109/TPWRD.2009.2034902.Search in Google Scholar
10. Saggu, TS, Singh, L. Comparison of D-STATCOM topologies for harmonic mitigation in induction. Int J Eng Sci Technol 2017;3:106–19.Search in Google Scholar
11. Manpreet, TSS. Performance analysis of D-STATCOM and UPQC in distribution system. In: International conference on computing, networking & renewable energy. Jalandhar: CNRE; 2021:234–40 pp.Search in Google Scholar
12. Sen, P, Panda, KP. Mitigation using new PWM based D-STATCOM. In: International conference on intelligent computing and control systems. Madurai: IEEE; 2017:350–5 pp.10.1109/ICCONS.2017.8250741Search in Google Scholar
13. Kumar, P, Kumar, N, Akella, AK. A simulation-based case study for control of D-STATCOM. ISA Trans 2014;53:767–75. https://doi.org/10.1016/j.isatra.2013.11.008.Search in Google Scholar PubMed
14. Yahiya, MAA, Uzair, MAR. Performance analysis of DVR, D-STATCOM and UPQC for improving the power quality with various control strategies. In: 2016 – biennial international conference on power and energy systems: towards sustainable energy, PESTSE. Bengalure: IEEE; 2016:1–4 pp.10.1109/PESTSE.2016.7516483Search in Google Scholar
15. Damodhar, SS. Novel models of power system components for implicit solution of the adjusted power flow problem. Int J Emerg Elec Power Syst 2022;23:409–21. https://doi.org/10.1515/ijeeps-2021-0123.Search in Google Scholar
16. Mahela, OP, Shaik, AG. Power quality improvement in distribution network using D-STATCOM with battery energy storage system. Int J Electr Power Energy Syst 2016;83:229–40. https://doi.org/10.1016/j.ijepes.2016.04.011.Search in Google Scholar
17. Singh, B, Kandpal, M, Hussain, I. Control of grid tied smart PV-D-STATCOM system using an adaptive technique. IEEE Trans Smart Grid 2018;9:3986–93. https://doi.org/10.1109/tsg.2016.2645600.Search in Google Scholar
18. Ghatak, SR, Sannigrahi, S, Acharjee, P. Multi-objective approach for strategic incorporation of solar energy source, battery storage system, and D-STATCOM in a smart grid environment. IEEE Syst J 2019;13:3038–49. https://doi.org/10.1109/jsyst.2018.2875177.Search in Google Scholar
19. Awasth, VM, Huchche, VA. Reactive power compensation using D-STATCOM. In: 2016 international conference on energy efficient technologies for sustainability, ICEETS 2016. Nagercoil: IEEE; 2016:583–5 pp.10.1109/ICEETS.2016.7583821Search in Google Scholar
20. Mishra, MK, Karthikeyan, K, Vincent, G, Sasitharan, S. A DSP-based integrated hardware set-up for a D-STATCOM: design, development, and implementation issues. IETE J Res 2010;56:11–21. https://doi.org/10.4103/0377-2063.61254.Search in Google Scholar
21. Karthik, T, Prathyusha, M, Thirumalaivasan, R, Janaki, M. Power quality improvement using D-STATCOM. In: 2019 innovations in power and advanced computing technologies, i-PACT 2019. Vellore: IEEE; 2019:1–7 pp.10.1109/i-PACT44901.2019.8960234Search in Google Scholar
22. Giroux, P, Sybille, G, Le-Huy, H. Modeling and simulation of a distribution STATCOM using Simulink’s power system blockset. IECON Proc (Ind Electron Conf) 2001;2:990–4. https://doi.org/10.1109/iecon.2001.975905.Search in Google Scholar
23. Kota, VR, Vinnakoti, S. Synchronous reference frame based control of MLI-STATCOM in power distribution network. In: 2016 IEEE power and energy conference at Illinois, PECI 2016. Boston: IEEE; 2016.10.1109/PECI.2016.7459247Search in Google Scholar
24. Mahela, OP, Shaik, AG. A review of distribution static compensator. Renew Sustain Energy Rev 2015;50:531–46. https://doi.org/10.1016/j.rser.2015.05.018.Search in Google Scholar
25. Patil, DR, Madhale, KK. Design and simulation studies of D-STATCOM for voltage sag, swell mitigation. Int J Power Syst Oper Energy Manag 2013;2:169–75. https://doi.org/10.47893/ijpsoem.2013.1083.Search in Google Scholar
26. Neha Suresh, MP, Manoj Kumar, MV. Comparison of control algorithms of D-STATCOM for power quality improvement. In: International conference on power electronics and renewable energy applications, PEREA. Kannur: IEEE; 2020:1–6 pp.10.1109/PEREA51218.2020.9339807Search in Google Scholar
27. Abdelsalam, AA, Ghoneim, SSM, Salem, AA. An efficient compensation of modified D-STATCOM for improving microgrid operation. Alex Eng J 2021;61:5501–16. https://doi.org/10.1016/j.aej.2021.10.061.Search in Google Scholar
28. Singh, B, Jayaprakash, P, Kothari, DP. Three single-phase voltage source converter based three-phase four wire D-STATCOM. In: 2009 international conference on power systems, ICPS ’09. Kharagpur: IEEE; 2009:25–9 pp.10.1109/ICPWS.2009.5442701Search in Google Scholar
29. Kumar, P. Simulation of custom power electronic device D-STATCOM – a case study. In: India international conference on power electronics, IICPE 2010. New Delhi: IEEE; 2011:8–11 pp.10.1109/IICPE.2011.5728057Search in Google Scholar
30. Pinto, SJ, Panda, G, Peesapati, R. An implementation of hybrid control strategy for distributed generation system interface using Xilinx system generator. IEEE Trans Ind Inf 2017;13:2735–45. https://doi.org/10.1109/TII.2017.2723434.Search in Google Scholar
31. Coteli, R, Deniz, E, Dandil, B, Tuncer, S, Ata, F. Phase angle control of three level inverter based D-STATCOM using neuro-fuzzy controller. Adv Electr Comput Eng 2012;12:77–84. https://doi.org/10.4316/AECE.2012.01013.Search in Google Scholar
32. Mahela, OP, Khan, B, Alhelou, HH, Tanwar, S, Padmanaban, S. Harmonic mitigation and power quality improvement in utility grid with solar energy penetration using distribution static compensator. IET Power Electron 2021;14:912–22. https://doi.org/10.1049/pel2.12074.Search in Google Scholar
33. Qashou, A, Yousef, S, Smadi, AA, AlOmari, AA. Distribution system power quality compensation using an HSeAPF based on SRF and SMC features. Int J Syst Assur Eng Manag 2021;12:976–89. https://doi.org/10.1007/s13198-021-01185-w.Search in Google Scholar
34. Sharma, R, Singh, A, Jha, AN. Performance evaluation of tuned PI controller for power quality enhancement for linear and non-linear loads. In: International conference on recent advances and innovations in engineering, ICRAIE 2014. Jaipur: IEEE; 2014:1–6 pp.10.1109/ICRAIE.2014.6909134Search in Google Scholar
35. Singh, B, Jayaprakash, P, Kothari, DD. A T-connected transformer and three-leg VSC based D-STATCOM for power quality improvement. IEEE Trans Power Electron 2008;23:2710–8. https://doi.org/10.1109/TPEL.2008.2004273.Search in Google Scholar
36. Varshney, G, Chauhan, DS, Dave, MP. Performance analysis of photovoltaic based D-STATCOM using SRF and IRP control theory1. In: Proceedings on 2015 1st international conference on next generation computing technologies, NGCT 2015, no. September. Dehradun: IEEE; 2016:779–83 pp.10.1109/NGCT.2015.7375226Search in Google Scholar
37. Prasad, M, Akella, AK. Comparison of D-STATCOM performance for voltage sag alleviation. Indones J Electr Eng Comput Sci 2016;4:305–16. https://doi.org/10.11591/ijeecs.v4.i2.pp305-316.Search in Google Scholar
© 2023 Walter de Gruyter GmbH, Berlin/Boston
Articles in the same Issue
- Frontmatter
- Review
- California’s electric grid nexus with the environment
- Research Articles
- Adaptive centralized energy management algorithm for islanded bipolar DC microgrid
- Distributed new energy information acquisition model of distribution network based on Beidou communication
- A single phase modified Y-source inverter with high voltage gains and reduced switch stresses
- Technical assessment of power interface to utilize untapped power of decentralized solar pumps for positive impact in livelihoods
- An improved method for monitoring the junction temperature of 1200V / 50A IGBT modules used in power conversion systems
- Stochastic uncertainty management in electricity markets with high renewable energy penetration
- Power quality disturbances classification using autoencoder and radial basis function neural network
- Use of waste activated carbon and wood ash mixture as an electrical grounding enhancement material
- Double-layer optimal energy management of smart grid incorporating P2P energy trading with smart traction system
- Performance analysis of SRFT based D-STATCOM for power quality improvement in distribution system under different loading conditions
- Power quality improvement of utility-distribution system using reduced-switch DSTATCOM in grid-tied solar-PV system based on modified SRF strategy
Articles in the same Issue
- Frontmatter
- Review
- California’s electric grid nexus with the environment
- Research Articles
- Adaptive centralized energy management algorithm for islanded bipolar DC microgrid
- Distributed new energy information acquisition model of distribution network based on Beidou communication
- A single phase modified Y-source inverter with high voltage gains and reduced switch stresses
- Technical assessment of power interface to utilize untapped power of decentralized solar pumps for positive impact in livelihoods
- An improved method for monitoring the junction temperature of 1200V / 50A IGBT modules used in power conversion systems
- Stochastic uncertainty management in electricity markets with high renewable energy penetration
- Power quality disturbances classification using autoencoder and radial basis function neural network
- Use of waste activated carbon and wood ash mixture as an electrical grounding enhancement material
- Double-layer optimal energy management of smart grid incorporating P2P energy trading with smart traction system
- Performance analysis of SRFT based D-STATCOM for power quality improvement in distribution system under different loading conditions
- Power quality improvement of utility-distribution system using reduced-switch DSTATCOM in grid-tied solar-PV system based on modified SRF strategy
