Optimal DG Sizing and Location in Modern Power Grids using PEVs Load Demand Probability
The integration of plug-in electric vehicles (PEVs) to the conventional distribution system has hada major impactuponconsumption ofenergy in thepastyear. This paper presentsoptimal distributed generator(DG) sizing and location in the power system using PEVs load demand probability. The MATLAB m-file scripts and OpenDSS were applied to solve the proposed studyby varyingthe percentage penetration levelof PEVs. A genetic algorithm optimization technique was used to find the best solution of DG installation. The simulation results showed that the PEVs were directly connected to the power grid with 100 PEVs(13.84%), 200 PEVs(27.68%) and 500 PEVs(69.19%), respectively. Itwas found that the DG sizingalso variedwith39.935 MW, 42.568MW and 47.907 MW, respectively. While the position of the DG also changes according to the sizing of DG. The position of DG was installed at bus No.738, bus No.741 and bus No.711, respectively. Therefore,the optimal DG placement helped toimprove and reducethe total line loss and total energy demand from the power grid. The grid increased the power system stability and reducedthe impactfrom the large scale of PEV penetration.
Y. Kongjeen and K. Bhumkittipich, "Modeling of electric vehicle loads for power flow analysis based on PSAT," Proc International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2016, pp. 1-6.
A. Nikoobakht, J. Aghaei, M. Shafie-khah, and J. P. S. Catalão, "Assessing Increased Flexibility of Energy Storage and Demand Response to Accommodate a High Penetration of Renewable Energy Sources," IEEE Transactions on Sustainable Energy, pp. 1-6, 2018.
A. Ngaopitakkul and C. Jettanasen, "The effects of multi-distributed generator on distribution system reliability," Proc IEEE Innovative Smart Grid Technologies - Asia (ISGT-Asia), 2017, pp. 1-6.
S. Deb, K. Tammi, K. Kalita, and P. Mahanta, "Impact of Electric Vehicle Charging Station Load on Distribution Network," Energies, vol. 11, no. 1, pp.1-25, 2018.
L. Ahmadi, E. Croiset, A. Elkamel, P. Douglas, W. Unbangluang, and E. Entchev, "Impact of PHEVs Penetration on Ontario’s Electricity Grid and Environmental Considerations," Energies, vol. 5, no. 12, p. 5019, 2012.
C. H. Dharmakeerthi, N. Mithulananthan, and T. K. Saha, "Impact of electric vehicle fast charging on power system voltage stability," International Journal of Electrical Power & Energy Systems, vol. 57, pp. 241-249, May 2014.
A. P. C. Mello, D. P. Bernardon, L. L. Pfitscher, L. N. Canha, V. J. Garcia, and M. Sperandio, "Reconfiguration of distribution network considering distributed generation and multivariables criteria,"Proc Power Engineering Conference (UPEC), 2013 48th International Universities', 2013, pp. 1-6.
A. D. Hilshey, P. D. H. Hines, P. Rezaei, and J. R. Dowds, "Estimating the Impact of Electric Vehicle Smart Charging on Distribution Transformer Aging," IEEE Transactions on Smart Grid, vol. 4, no. 2, pp. 905-913, 2013.
H. Turker, S. Bacha, D. Chatroux, and A. Hably, "Low-Voltage Transformer Loss-of-Life Assessments for a High Penetration of Plug-In Hybrid Electric Vehicles (PHEVs)," IEEE Transactions on Power Delivery, vol. 27, no. 3, pp. 1323-1331, 2012.
K. Yuttana , J. Wannawit, B. Krischonme , and M. Nadarajah, "Estimation of the Quick Charging Station for Electric Vehicles based on Location and Population Density Data," International Journal of Intelligent Engineering&Systems, vol. 11, no. 3, pp. 233-241, June 2018.
Y. Kongjeen and K. Bhumkittipich, "Impact of Plug-in Electric Vehicles Integrated into Power Distribution System Based on Voltage-Dependent Power Flow Analysis," Energies, vol. 11, no. 6,pp.1-16, 2018.
P. Olivella-Rosell, R. Villafafila-Robles, A. Sumper, and J. Bergas-Jané, "Probabilistic Agent-Based Model of Electric Vehicle Charging Demand to Analyse the Impact on Distribution Networks," Energies, vol. 8, no. 5, pp. 4160-4187, 2015.
A. Ul-Haq, M. Azhar, Y. Mahmoud, A. Perwaiz, and E. Al-Ammar, "Probabilistic Modeling of Electric Vehicle Charging Pattern Associated with Residential Load for Voltage Unbalance Assessment," Energies, vol. 10, no. 9, pp. 1351-1369, 2017.
M. Jegadeesan, C. K. Babulal, and V. Subathra, "Simultaneous placement of multi-DG and capacitor in distribution system using hybrid optimization method," Proc International Conference on Innovations in Green Energy and Healthcare Technologies (IGEHT), 2017, pp. 1-7.
M. Kumawat, N. Gupta, N. Jain, and R. C. Bansal, "Optimally Allocation of Distributed Generators in Three-Phase Unbalanced Distribution Network", Energy Procedia, vol. 142, pp. 749-754, Jan 2017.
V. Farahani, B. Vahidi, and H. A. Abyaneh, "Reconfiguration and Capacitor Placement Simultaneously for Energy Loss Reduction Based on an Improved Reconfiguration Method," IEEE Transactions on Power Systems, vol. 27, no. 2, pp. 587-595, 2012.
M. Tolba, H. Rezk, V. Tulsky, A. Diab, A. Abdelaziz, and A. Vanin, "Impact of Optimum Allocation of Renewable Distributed Generations on Distribution Networks Based on Different Optimization Algorithms," Energies, vol. 11, no. 1, p. 245-257, 2018.
R. C. Dugan, Reference Guide The Open Distribution System Simulator (OpenDSS), 2018.
Y. Sun, J. Li, Z. Yin, and K. Zhu, "The Impact Analysis of Various Unbalance Factors on the PCC Voltage Imbalance," Proc IEEE Electrical Power and Energy Conference, 2014, pp. 23-28.
N. Jabalameli, M. A. S. Masoum, and S. Deilami, "Optimal online charging of plug-in electric vehicles considering voltage unbalance factor," Proc 2017 IEEE Power & Energy Society General Meeting, 2017, pp. 1-5.
M. M. Aman, G. B. Jasmon, A. H. A. Bakar, and H. Mokhlis, "A new approach for optimum DG placement and sizing based on voltage stability maximization and minimization of power losses," Energy Conversion and Management, vol. 70, pp. 202-210, June 2013.
IEEE Power & Energy Society, (2018, 8 June 2018), IEEE PES AMPS DSAS Test Feeder Working Group, [Online]. Available: http://sites. ieee.org/pes /testfeeders/resources/.
- There are currently no refbacks.