Impact of EV penetration on Volt-VAR Optimization of distribution networks using real-time co-simulation monitoring platform

Applied Energy

Volumn 169, Issue , 2016, Pages 28-39

  Manbachi, M ^a,b   Sadu, A ^c   Farhangi, H ^b   Monti, A ^c   Palizban, A ^b   Ponci, F ^c   Arzanpour, S ^a  

^a SIMON FRASER UNIVERSITY   (Canada)

^b BRITISH COLUMBIA INSTITUTE OF TECHNOLOGY   (Canada)

^c RWTH AACHEN UNIVERSITY   (Germany)

Author keywords

Conservation Voltage Reduction; Distribution network; Electric Vehicle; Energy conservation; Smart grid; Volt VAR Optimization

Indexed keywords

ADVANCED METERING INFRASTRUCTURES; COMPLEX NETWORKS; CRASHWORTHINESS; CURRENT LIMITING REACTORS; ELECTRIC POWER DISTRIBUTION; ELECTRIC POWER TRANSMISSION NETWORKS; ELECTRIC VEHICLES; ENERGY CONSERVATION; ENGINES; OPERATING COSTS; VALUE ENGINEERING;

CONSERVATION VOLTAGE REDUCTIONS; DISTRIBUTION FEEDERS; MONITORING PLATFORM; REAL TIME SIMULATORS; SMART DISTRIBUTION NETWORKS; SMART GRID; SMART MICRO GRIDS; VOLT VARS;

SMART POWER GRIDS;

ELECTRIC VEHICLE; ENERGY CONSERVATION; ENGINE; EQUIPMENT COMPONENT; NUMERICAL MODEL; OPERATIONS TECHNOLOGY; OPTIMIZATION; PERFORMANCE ASSESSMENT; PRECISION;

EID: 84958818442     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2016.01.084     Document Type: Article

References (64)

1. Farhangi H. The path of smart grid. IEEE Power Energy Mag 2010, 8(1):18-28.
2. Farhangi H. A road map to integration. IEEE Power Energy Mag 2014, 12(3):52-66.
3. Manbachi M., Nasri M., Shahabi B., Farhangi H., Palizban A., Arzanpour S., et al. Real-time adaptive VVO/CVR topology using multi-agent system and IEC 61850-based communication protocol. IEEE Trans Sustain Energy 2014, 5(2):587-597.
4. Electrical power systems and equipment-voltage ratings. ANSI Standard C 84.1; 1995.
5. CAN3-C235-83-preferred voltage levels for AC systems, 0 to 50,000 V. Canadian Standard Association (CSA); 1983 [reaffirmed; 2010].
6. de Souza B.Alencar, de Almeida A.M.F. Multi objective optimization and fuzzy logic applied to planning of the Volt/Var problem in distribution systems. IEEE Trans Power Syst 2010, 25(3):1274-1281.
7. Krok MJ, Genc S. A coordinated optimization approach to Volt/VAr control for large power distribution networks. In: American Control Conf O'Farrell Street, San Francisco, CA; June 29/July 1, 2011.
8. Rahimi S, Marinelli M, Silvestro F. Evaluation of requirements for Volt/Var control and optimization function in distribution management systems. In: Proc IEEE int energy conf and exhibition (ENERGYCON2012), Florence, Italy; September 2012.
9. Biserica M., Besanger Y., Caire R., Chilard O., Deschamps P. Neural networks to improve distribution state estimation-Volt Var control performances. IEEE Trans Smart Grid 2012, 3(3):1137-1144.
10. Shah B, Bose A, Srivastava A. Load modeling and voltage optimization using smart meter infrastructure. In: Proc IEEE PES innovative smart grid technologies (ISGT), Washington DC, USA; February 2013.
11. Shen Z, Baran ME. Gradient based centralized optimal Volt/Var control strategy for smart distribution system. In: Proc IEEE PES innovative smart grid technologies, Washington DC, USA; February 2013.
12. Hwang PI, Jeong MG, Moon SI. Volt/VAR optimization of the Korean smart distribution management system. In: Proc 22nd international conf electricity distribution (CIRED), Stockholm, Sweden; June 2013.
13. Schneider K.P., Weaver T.F. A method for evaluating Volt-VAR optimization field demonstrations. IEEE Trans Smart Grid 2014, 5(4):1696-1703.
14. Feltrin A.P., Quinjano D.A., Mantovani J.R.S. Volt-VAR multiobjective optimization to peak-load relief and energy efficiency in distribution networks. IEEE Trans Power Delivery 2015, 30(2):618-626.
15. Solanki J, Venkatesan N, Khushalani S. Coordination of demand response and Volt/Var control algorithm using multi agent system. In: Proc IEEE PES transmission and distribution conf and exposition, Orlando, FL, USA; May 2012.
16. Vaccaro A., Velotto G., Zobaa A.F. A decentralized and cooperative architecture for optimal voltage regulation in smart grids. IEEE Trans Ind Electron 2011, 58(10):4593-4602.
17. Fakham H, Colas F, Guillaud X. Real-time simulation of multi-agent system for decentralized voltage regulation in distribution network. In: Proc IEEE power and energy society general meeting, San Diego, CA, USA; July 2011.
18. Fakham H, Ahmidi A, Colas F, Guillaud X. Multi-agent system for distributed voltage regulation of wind generators connected to distribution network. In: Proc IEEE PES innovative smart grid technologies conf Europe, Gothenburg, Sweden; October 2010.
19. Jauch E. Volt/Var management? An essential "SMART" function". In: Proc power system conf exposition (PSCE09), IEEE PES, Seattle, WA, USA; March 2009.
20. Markushevich N. The benefits and challenges of the integrated Volt/Var optimization in the smart grid environment. In: Proc IEEE power and energy society general meeting, Detroit, MI; July 2011.
21. Uluski RW. VVC in smart grid era. In: Proc IEEE power and energy society general meeting, Minneapolis, MN, USA; July 2010.
22. Jauch E.T. Possible effects of smart grid functions on LTC transformers. IEEE Trans Ind Appl 2011, 47(2):1013-1021.
23. Markushevich N, Wenpeng L. Achieving greater VVO benefits through AMI implementation. In: Proc IEEE power and energy society general meeting, San Diego, CA, USA; July 2011.
24. Mak ST. Dynamic modeling of the distribution feeder using smart meters data to support feeder VOLT-VAR control. In: Proc IEEE PES Trans and dist conf and exposition, Orlando, FL, USA; May 2012.
25. Thesing M. Integrating electric meter data with distribution automation applications. In: Proc IEEE PES transmission and distribution conf and exposition, Orlando, FL, USA; May 2012.
26. Zakariazadeh A, Modaghegh H, Jadid S. Real time Volt-VAR control using advance metering infrastructure system in FAHAM project. In: Proc 22nd international conf electricity distribution (CIRED), Stockholm, Sweden; June 2013.
27. Singh R, Tuffner F, Fuller J, Schneider K. Effects of distributed energy resources on conservation voltage reduction (CVR). In: Proc power and energy society general meeting, San Diego, CA; July 2011.
28. Lefebvre S, Gaba G, Ba AO, Asber D, Richard A, Perreault C, et al. Measuring the efficiency of voltage reduction at hydro-quebec distribution. In: Proc IEEE power and energy society general meeting - conversion and delivery of electrical energy in the 21st century, Pittsburgh, PA, USA; July 2008.
29. Schneider KP, Tuffner FK, Fuller JC, Singh R. Evaluation of conservation voltage reduction (CVR) on a national level. Pacific Northwest National Laboratory, United States Department of Energy, DE-AC05-76RL01830; July 2010.
30. Global Energy Partners LLC. Utility distribution system efficiency (DEI). Northwest Energy Efficiency Alliance Rep. #08-192, Portland, OR, USA; June 27, 2008.
31. Wilson TL. Energy conservation with voltage reduction-fact or fantasy. In: Proc IEEE rural electric power conf, Colorado Springs, CO, USA; May 2002.
32. Wang Z., Wang J. Review on implementation and assessment of conservation voltage reduction. IEEE Trans Power Syst May 2014, 29(3):1306-1315.
33. Manbachi M, Sadu A, Farhangi H, Monti A, Palizban A, Ponci F, et al. Real-time communication platform for smart grid adaptive Volt-VAR optimization of distribution networks. IEEE international conference on smart energy grid engineering (SEGE), Oshawa, ON, Canada; August 2015.
34. Auchariyamet S, Sirisumrannukul S. Volt/VAr control in distribution systems by fuzzy multiobjective and particle swarm. In: Proc 6th international conference on electrical engineering/electronics, computer, telecom and info tech, ECTI-CON, Pattaya, Thailand; May 2009.
35. Auchariyamet S, Sirisumrannukul S. Optimal daily coordination of Volt/VAr control devices in distribution systems with distributed generators. In: Proc 45th international universities power engineering conference (UPEC), Cardiff, Wales; September 2010.
36. Spatti D.H., da Silva I.N., Usida W.F., Flauzino R.A. Real-time voltage regulation in power distribution system using fuzzy control. IEEE Trans Power Delivery 2010, 25:1112-1123.
37. Svenda G, Strezoski V, Simendic Z, Mijatovic V. Real time voltage control integrated in DMS. In: Proc 20th international conference on electricity distribution, CIRED, Prague; June 2009.
38. Saric AT, Stankovic Am. A robust algorithm for Volt/VAr control. In: Proc power system conference and exposition, PSCE09, IEEE PES, Seattle, WA; 2009.
39. Manbachi M, Farhangi H, Palizban A, Arzanpour S. Real-time adaptive optimization engine algorithm for integrated Volt/VAr optimization and conservation voltage reduction of smart microgrids. In: Proc. CIGRE Canada conf, Montreal, QC, Canada; September 2012.
40. Manbachi M., Farhangi H., Palizban A., Arzanpour S. A novel Volt-VAR optimization engine for smart distribution networks utilizing vehicle-to-grid dispatch. Int J Electr Power Energy Syst 2016, 74:238-251.
41. Manbachi M, Farhangi H, Palizban A, Arzanpour S. Predictive algorithm for Volt/VAR optimization of distribution networks using neural networks. In: Proc Canadian conf electrical and computer engineering (CCECE 2014), Toronto, ON, Canada; May 2014.
42. Majidpour M., Qiu C., Chu P., Pota H.R., Gadh R. Forecasting the EV charging load based on customer profile or station measurement?. Appl Energy 2016, 163:134-141.
43. Schuller A., Flath C.M., Gottwalt S. Quantifying load flexibility of electric vehicles for renewable energy integration. Appl Energy 2015, 151:335-344.
44. Yagcitekin B, Uzunoglu M. A double-layer smart charging strategy of electric vehicles taking routing and charge scheduling into account. Appl Energy [available online 26 September 2015].
45. Dimitrova Z., Maréchal F. Techno-economic design of hybrid electric vehicles and possibilities of the multi-objective optimization structure. Appl Energy 2016, 161:746-759.
46. Guo S., Zhao H. Optimal site selection of electric vehicle charging station by using fuzzy TOPSIS based on sustainability perspective. Appl Energy 2015, 158:390-402.
47. Neaimeh M., Wardle R., Jenkins A.M., Yi J., Hill G., Lyons P.F., et al. A probabilistic approach to combining smart meter and electric vehicle charging data to investigate distribution network impacts. Appl Energy 2015, 157:688-698.
48. Zhang S, Ai X, Liang W, Dong R. The influence of the electric vehicle charging on the distribution network and the solution. In: Proc IEEE Asia Pacific conf and exposition on transportation electrification, Beijing, China; August 31/September 3, 2014.
49. Bosovic A, Music M, Sodovic S. Analysis of the impacts of plug-in electric vehicle charging on the part of a real medium voltage distribution network. In: Proc IEEE PES innovative smart grid technologies (ISGT), Istanbul, Turkey; October 2014.
50. Kriukov A, Gavrilas M. Smart energy management in distribution networks with increasing number of electric vehicles. In: Proc int conf and exposition electrical and power engineering, Lasi, Romania; October 2014.
51. Leou R.C., Su C.L., Lu C.N. Stochastic analyses of electric vehicle charging on distribution network. IEEE Trans Power Syst 2014, 29(3):1055-1063.
52. Hoog J.D., Alpcan T., Brazil M., Thomas D.A., Mareels I. Optimal charging of electric vehicles taking distribution network constraints into account. IEEE Trans Power Syst 2015, 30(1):365-375.
53. Fuller JC, Ciraci S, Daily JA, Fisher AR, Hauer M. Communication simulations for power system applications. In: Proc workshop of modeling and simulation of cyber-physical energy systems (MSCPES), Berkeley, CA, USA; May 2013.
54. Kounev V, Tipper D, Levesque M, Grainger BM, McDermott T, Reed GF. A microgrid co-simulation framework. In: Proc workshop of modeling and simulation of cyber-physical energy systems (MSCPES), Seattle, WA, USA; April 2015.
55. Zamani V, Baran M. Feeder monitoring for Volt/VAR control in distribution systems. In: Proc. IEEE PES general meeting conf and exposition, National-Harbor, MD, USA; July 2014.
56. Bottura R, Borghetti A, Napolitano F, Nucci CA. ICT-power co-simulation platform for the analysis of communication-based Volt-VAR optimization in distribution feeders. In: Proc innovative smart grid technologies conf (ISGT), Washington D.C., USA; February 2014.
57. Ibrahim M., Salama M.M.A. Smart distribution system volt/VAR control using distributed intelligence and wireless communication. IET Gener, Trans Dist 2015, 9(4):307-318.
58. Atanackovic DA, Dabic V. Deployment of real-time state estimator and load flow in BC hydro DMS-challenges and opportunities. In: Proc IEEE power and energy society general meeting (PES), Vancouver, BC, Canada; July 2013.
59. Muller SC, Georg H, Rehtanz C, Wietfeld C. Hybrid simulation of power systems and ICT for real-time application. In: Proc 3rd IEEE PES innovative smart grid technologies Europe (ISGT Europe), Berlin, Germany; October 2012.
60. Baran M.E., Wu F.F. Network reconfiguration in distribution systems for loss reduction and load balancing. IEEE Trans Power Delivery 1989, 4(3):1401-1407.
61. Khalil T.M., Gorpinich A.V. Reconfiguration for loss reduction of distribution system using selective particle swarm optimization. Int J Multidisc Sci Eng 2012, 3(6):16-21.
62. Manbachi M, Farhangi H, Palizban A, Arzanpour S. Impact of V2G on real-time adaptive Volt/VAR optimization of distribution networks. In: Proc IEEE electrical power & energy conf, Halifax, NS, Canada; August 2013.
63. Bokhari A., Alkan A., Dogan R., Diaz-Aguiló M., De León F., Czarkowski D., et al. Experimental determination of the ZIP coefficients for modern residential, commercial and industrial loads. IEEE Trans Power Delivery 2014, 29(3):1372-1381.
64. Sortomme E, Negash AI, Venkata SS, Kirschen DS. Voltage dependent load models of charging electric vehicles. In: Proc 2013 IEEE power engineering society general meeting (PES) conf, Vancouver, BC, Canada; July 2013.