EVERGREEN

Joint Journal of Novel Carbon Resource Sciences and Green Asia Strategy

ISSN:2189-0420 (Print until Mar 2020)
ISSN:2432-5953 (Online)

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Application of CVR in Advanced Distribution Management System using Firefly Optimization

Chandra Prakash Prajapati1,*, Saurabh Chanana1
1Electrical Engineering, National Institute of Technology, India
*Author to whom correspondence should be addressed:
E-mail: chandra.prakash.prajapati.example@university.edu (CPP)
Evergreen, Vol. 12, Iss. 02, pp. 715–727, 2025
DOI: 10.5109/7363470
Creative Commons Attribution 4.0 International Creative Commons Attribution 4.0 International
Received: June 09, 2024 | Revised: January 24, 2025 | Accepted: April 30, 2025 | Published: June 2025
Abstract
The Conservation Voltage Reduction (CVR) technique is a globally deployed method aimed at reducing voltage levels to conserve energy and reduce costs in electrical distribution systems. CVR achieves this by lowering voltages, which in turn impact the impedance, current, and power consumption of ZIP loads. This paper presents an optimized CVR approach utilizing heuristic optimization algorithms, specifically targeting smart grid-enabled distribution systems to minimize power loss and operational costs. The Distribution Management System (DMS) manages Volt/VAR control in the proposed scheme to efficiently operate the distribution grid. When high levels of voltage reduction are necessary, capacitor banks are deployed to maintain voltage within acceptable limits by injecting reactive power. The effectiveness of the proposed CVR technique is evaluated using the IEEE 13-node test system, an unbalanced distribution system. MATLAB interfaces with OpenDSS software to simulate system performance. Some heuristic optimization techniques are explored to determine optimal locations for on-load tap changers (OLTC), automatic voltage regulators (AVR), and capacitor banks (CBs). We integrate the CVR methodology with the aforementioned optimization algorithms to find an optimized voltage profile and minimize power loss at various CVR factors. The paper thoroughly discusses the efficacy of these optimization techniques in improving voltage profiles and reducing power loss, as demonstrated by the simulation results.
Keywords
Smart Grid ; Optimization techniques ; Advance Distribution Management Systems ; Conservation Voltage Reduction (CVR) ; OpenDSS ; Volt-VAR Control (VVC)
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References
  1. 1) S. Singh, and S.P. Singh, "Energy saving estimation in distribution network with smart grid-enabled cvr and solar pv inverter," IET Gener. Transm. Distrib., 12 (6) 1346-1358 (2018) doi:10.1049/iet-gtd.2017.0973
  2. 2) S. Singh, and S.P. Singh, "Opportunities and challenges for deployment ofcvr/vvo methodology in indian smart energy distribution," Int.Conf.and Exhib. Smart Grid AndSmart Cities (India SmartGrid Week) ISGF, (June) (2016) doi:10.13140/RG.2.1.1044.4400
  3. 3) R.F. Preiss, and V.J. Warnock, "IMPACT of voltage reduction in energy and demand.," IEEE Transactions on Power Apparatus and Systems, 75 (5) 1665-1671 (1978) doi:10.1109/TPAS.1978.354658
  4. 4) A. Bohre, Y. Sawle, V. Jadoun, and A. Agarwal, "Assessment of techno-socio-economic performances of distribution network with optimal planning of multiple dgs," Evergreen, 10 1106-1112 (2023) doi:10.5109/6793670
  5. 5) S.S. Mendu, P. Appikonda, and A. Emadabathuni, "Techno-economic comparative analysis between grid-connected and stand-alone integrated energy systems for an educational institute," Evergreen, 7 382-395 (2020) doi:10.5109/4068616
  6. 6) H. Prasetyo, "On-grid photovoltaic system power monitoring based on open source and low-cost internet of things platform," Evergreen, 8 98-106 (2021) doi:10.5109/4372265
  7. 7) M. Rahman, S. Saha, M. Majumder, T. Suki, M. Rahman, F. Akter, M. Haque, and M.K. Hossain, "Energy conservation of smart grid system using voltage reduction technique and its challenges," Evergreen, 9 924-938 (2022) doi:10.5109/6622879
  8. 8) M.Barai, "Energy security and sustainability in japan," Evergreen, 2 (1) 49-56 (2015) doi:10.5109/1500427
  9. 9) PacificNorthwest National Laboratory, and PNNL, "Evaluation of cvr on a national level," Report, (July) (2010). (accessed December 22, 2023)
  10. 10) E.Diskin, T. Fallon, G. O’Mahony, and C. Power, "Conservation voltage reduction and voltage optimisation on irish distribution networks," CIRED 2012, pp. 1-4, (2012) doi:10.1049/cp.2012.0837
  11. 11) W.Ellens, A. Berry, and S. West, "A quantification of the energy savings by conservation voltage reduction," 2012 IEEE Int. Conf. Power Syst. Technol. POWERCON 2012, 1-6 (2012). /PowerCon.2012.6401391 doi:10.1109
  12. 12) C.R. Sarimuthu, V.K. Ramachandaramurthy, K.R. Agileswari, and H. Mokhlis, "A review on voltage control methods using on-load tap changer transformers for networks with renewable energy sources," Renew. Sustain. Energy Rev., 62 1154-1161 (2016) doi:10.1016/J.RSER.2016.05.016
  13. 13) T. Tewari, A. Mohapatra, and S. Anand, "Coordinated control of oltc and energy storage for voltage regulation in distribution network with high pv penetration," IEEE Trans. Sustain. Energy, 12 (1) 262-272 (2021) doi:10.1109/TSTE.2020.2991017
  14. 14) M. Chamana, and B.H. Chowdhury, "Optimal voltage regulation of distribution networks with cascaded voltage regulators in the presence of high pv penetration," IEEE Trans. Sustain. Energy, 9 (3) 1427-1436 (2018) doi:10.1109/TSTE.2017.2788869
  15. 15) L. Chen, Z. Deng, and X. Xu, "Two-stage dynamic reactive power dispatch strategy in distribution network considering the reactive power regulation of distributed generations," IEEE Trans. Power Syst., 34 (2) 1021-1032 (2019). 2875032 doi:10.1109/TPWRS.2018
  16. 16) O. Olatunde, M.Y. Hassan, M.P. Abdullah, and H.A. Rahman, "Real-time multiperiod voltage control algorithm with oltc and switched capacitors for smart distribution networks in the presence of energy storage system," Int. Trans. Electr. Energy Syst., 30 (9) 1-21 (2020) doi:10.1002/2050-7038.12475
  17. 17) A.E. Milani, and M.R. Haghifam, "An evolutionary approach for optimal time interval determination in distribution network reconfiguration under variable load," Math. Comput. Model., 57 (1-2) 68-77 (2013) doi:10.1016/J.MCM.2011.05.047
  18. 18) T. Niknam, A. Kavousifard, and J. Aghaei, "Scenario-based multiobjective distribution feeder reconfiguration considering wind power using adaptive modified particle swarm optimisation," IET Renew. Power Gener., 6 (4) 236 (2012) doi:10.1049/IET-RPG.2011.0256
  19. 19) L.W. De Oliveira, S. Carneiro, E.J. De Oliveira, J.L.R. Pereira, I.C. Silva, and J.S. Costa, "Optimal reconfiguration and capacitor allocation in radial distribution systems for energy losses minimization," Int. J. Electr. Power Energy Syst., 32 (8) 840-848 (2010) doi:10.1016/J.IJEPES.2010.01.030
  20. 20) S.Jazebi, and B. Vahidi, "Reconfiguration of distribution networks to mitigate utilities power quality disturbances," Electr. Power Syst. Res., 91 9-17 (2012) doi:10.1016/J.EPSR.2012.04.008
  21. 21) Y.K. Wu, C.Y. Lee, L.C. Liu, and S.H. Tsai, "Study of reconfiguration for the distribution system with distributed generators," IEEE Trans. Power Deliv., 25 (3) 1678-1685 (2010). 2046339 doi:10.1109/TPWRD.2010
  22. 22) M. Arun, and P. Aravindhababu, "Fuzzy based reconfiguration algorithm for voltage stability enhancement of distribution systems," Expert Syst. Appl., 37 (10) 6974-6978 (2010) doi:10.1016/J.ESWA.2010.03.022
  23. 23) R.S. Rao, K. Ravindra, K. Satish, and S.V.L. Narasimham, "Power loss minimization in distribution system using network reconfiguration in the presence of distributed generation," IEEE Trans. Power Syst., 28 (1) 317-325 (2013). 2197227 doi:10.1109/TPWRS.2012
  24. 24) A.R. Malekpour, T. Niknam, A. Pahwa, and A.K. Fard, "Multi-objective stochastic distribution feeder reconfiguration in systems with wind power generators and fuel cells using the point estimate method," ITPSy, 28 (2) 1483-1492 (2013). 2218261 doi:10.1109/TPWRS.2012
  25. 25) A. Zidan, and E.F. El-Saadany, "Distribution system reconfiguration for energy loss reduction considering the variability of load and local renewable generation," Energy, 59 698-707 (2013). 2013.06.061 doi:10.1016/J.ENERGY
  26. 26) C.F. Chang, "Reconfiguration and capacitor placement for loss reduction of distribution systems by ant colony search algorithm," IEEE Trans. Power Syst., 23 (4) 1747-1755 (2008). 2002169 doi:10.1109/TPWRS.2008
  27. 27) D. Zhang, Z. Fu, Y. Du, and L. Zhang, "Capacitor switching and network reconfiguration for loss reduction in distribution system," 2006 IEEE Power Eng. Soc. Gen. Meet., Montreal, pp. 6 (2006) doi:10.1109/PES.2006.1709017
  28. 28) V. Farahani, B. Vahidi, and H.A. Abyaneh, "Reconfiguration and capacitor placement simultaneously for energy loss reduction based on an improved reconfiguration method," IEEE Trans. Power Syst., 27 (2) 587-595 (2012) doi:10.1109/TPWRS.2011.2167688
  29. 29) P. Rezaei, and M. Vakilian, "Distribution system efficiency improvement by reconfiguration and capacitor placement using a modified particle swarm optimization algorithm," EPEC 2010 - IEEE Electr. Power Energy Conf. "Sustainable Energy an Intell. Grid," (2010) doi:10.1109/EPEC.2010.5697205
  30. 30) R.W. Uluski, "VVC in the smart grid era," IEEE PES Gen. Meet. PES 2010, 1-7 (2010). PES.2010.5589850 doi:10.1109/
  31. 31) S. Singh, A.K. Thakur, and S.P. Singh, "Energy savings in distribution network with smart grid-enabled cvr and distributed generation," 2016 National Power System Conference NPSC, India 2016, (Ldc) (2017) doi:10.1109/NPSC.2016.7858959
  32. 32) A. Padilha-Feltrin, D.A. Quijano Rodezno, and J.R.S. Mantovani, "Volt-var multiobjective optimization to peak-load relief and energy efficiency in distribution networks," IEEE Trans. Power Delivery, 30 (2) 618-626 (2015) doi:10.1109/TPWRD.2014.2336598
  33. 33) M. Manbachi, B. Shahabi, H. Farhangi, and A. Palizban, "Real-time adaptive vvo / cvr topology using," IEEE Trans. Sustain. Energy, 5 (2) 587-597 (2014) doi:10.1109/TSTE.2013.2278540
  34. 34) S. Satsangi, and G.B. Kumbhar, "Effect of load models on scheduling of vvc devices in a distribution network," IET Generation Transmission Distribution, 12 (17) 3993-4001 (2018) doi:10.1049/iet-gtd.2018.5262
  35. 35) N. Markushevich, and W. Luan, "Achieving greater vvo benefits through ami implementation," IEEE Power Energy Soc. Gen. Meet., (2011) doi:10.1109/PES.2011.6039062
  36. 36) B.A. De Souza, and A.M.F. De Almeida, "Multiobjective optimization and fuzzy logic applied to planning of the volt/var problem in distributions systems," IEEE Trans. Power Syst., 25 (3) 1274-1281 (2010) doi:10.1109/TPWRS.2010.2042734
  37. 37) P. Prabpal, Y. Kongjeen, and K. Bhumkittipich, "Optimal battery energy storage system based on var control strategies using particle swarm optimization for power distribution system," Symmetry 2021, Vol. 13, Page 1692, 13 (9) 1692 (2021) doi:10.3390/SYM13091692
  38. 38) Y. Shen, Y. Li, H. Kang, Y. Zhang, X. Sun, Q. Chen, and J. Peng, "Research on swarm size of multi-swarm particle swarm optimization algorithm," ICETIS 2021, 2243-2247 (2018). 012151 doi:10.1088/1742-6596/1827/1/
  39. 39) S. Chalotra, "A systematic review of applications of bee colony optimization," Iciccs 257-260 (2016). 1109/ICICCS.2016.7542297
  40. 40) R.K. Rao, and P. Srinivas, "Artificial bee colony optimization for multi objective economic load dispatch of a modern power system," ICEEOT 2016, pp. 4097-4100 (2016) doi:10.1109/ICEEOT.2016.7755486
  41. 41) Y.Wang, "ATO operation optimization research based on artificial bee colony algorithm," CISCE 2022, (3) 478-481 (2022). 9851005 doi:10.1109/CISCE55963.2022
  42. 42) S. Satsangi, and G.B. Kumbhar, "Review on volt/var optimization and control in electric distribution system," 1st IEEE Int. Conf. Power Electron. Intell. Control Energy Syst. ICPEICES 2016, 1-6 (2017) doi:10.1109/ICPEICES.2016.7853324
  43. 43) H. Mataifa, S. Krishnamurthy, and C. Kriger, "Volt/var optimization: a survey of classical and heuristic optimization methods," IEEE Access, 10 13379-13399 (2022) doi:10.1109/ACCESS.2022.3146366
  44. 44) S. Goel, and V.K. Panchal, "Performance evaluation of a new modified firefly algorithm," Proceedings of 3rd International Conference on Reliability, Infocom Technologies and Optimization, Noida, India, 2014, pp. 1-6, (2014) doi:10.1109/ICRITO.2014.7014717
  45. 45) F. Wahid, M.S. Zia, R.A.O. Naveed, B.I.N. Rais, M. Aamir, U.M. Butt, M. Ali, A. Ahmed, G.S. Member, I.A.L.I. Khan, and O. Khalid, "An enhanced firefly algorithm using pattern search for solving optimization problems," IEEE Access, vol. 8 (2020). 3015206 doi:10.1109/ACCESS.2020
  46. 46) J. Wang, M. Zhang, H. Song, Z. Cheng, T. Chang, Y. Bi, and K. Sun, "Improvement and application of hybrid firefly algorithm," IEEE Access, 7 (4) 165458-165477 (2019) doi:10.1109/ACCESS.2019.2952468
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