Improving Voltage and Power Profile by Smart load in A Low Voltage Power Distribution Network
Nowadays, planning for the optimal use of electrical vehicles and their connection to the power grid has become of growing interest. The load resulting from long charging time requirements of such vehicles would lead to increased load of distribution grid and endanger system security and extra voltage across the distribution grids. On the other hand, the penetration of photovoltaic resources and uncertainty in their generation would affect the quality of consumers’ electricity. In order to solve this problem, the present paper applies the smart load structure with a back-to-back converter for voltage adjustment so that the grid would be able to support the exchange of active power with load-serialized converter. The quantities of active and reactive power in this system are determined using the possible load dispersion and Monte Carlo simulation. The simulation results indicate the efficiency of this method in improving the quality of consumers’ electricity.
 Li, Gan, and X., Zhang. "Modeling of Plug-in Hybrid Electric Vehicle Charging Demand in Probabilistic Power Flow Calculations." IEEE Transactions on Smart Grid 3.1, pp.492-499, 2012.
 A., Zohaib, B., Chaudhuri, and Sh. Y., Ron Hui. "Smart Loads for Voltage Control in Distribution Networks." IEEE Transactions on Smart Grid 8.2, pp. 937-946, 2017.
 Wu, Xiaohua, et al. "Stochastic control of Smart Home Energy Management with Plug-In Electric Vehicle Battery Energy Storage and Photovoltaic Array." Journal of Power Sources , 203-212, 2016.
 Falahi, Milad, et al. "Potential Power Quality Benefits of Electric Vehicles." IEEE Transactions on sustainable energy 4.4 , pp.1016-1023, 2013.
 Li, Y., and P. A. Crossley. "Monte Carlo Study on Impact of Electric Vehicles and Heat Pumps on LV Feeder Voltages.", pp.12-13, 2014.
 B., Shahab, and M., Parniani. "Game Theoretic Based Charging Strategy forPlug-in Hybrid Electric Vehicles." IEEE Transactions on Smart Grid 5.5, pp. 2368-2375, 2014.
 James, J. Q., Victor OK Li, and Albert YS Lam. "Optimal v2g Scheduling of Electric Vehicles and Unit Commitment using Chemical Reaction Optimization." Evolutionary Computation (CEC), 2013 IEEE Congress on. IEEE, 2013.
 Elsisi, M., et al. "Model Predictive Control of Plug-in Hybrid Electric Vehicles for Frequency Regulation in a Smart Grid." IET Generation, Transmission & Distribution, 2017.
 F., Farivar, et al. "Intelligent Optimization to Integrate a Plug-In Hybrid Electric Vehicle Smart Parking Lot with Renewable Energy Resources and Enhance Grid Characteristics." Energy Conversion and Management 77, pp. 250-261, 2014.
 R., Imran, et al. "Review of Recent Trends in Optimization Techniques for Plug-In Hybrid, and Electric Vehicle Charging Infrastructures." Renewable and Sustainable Energy Reviews 58 , pp.1039-1047, 2016.
 R., Mohammad-Ali, A., Kavousi-Fard, and T., Niknam. "Expected Cost Minimization of Smart Grids with Plug-In Hybrid Electric Vehicles using Optimal Distribution Feeder Reconfiguration." IEEE Transactions on Industrial Informatics 11.2 pp. 388-397, 2015.
 Sh., Soroush, M., Firuzabad, and M., Rastegar. "Investigating the Impacts of Plug-In Hybrid Electric Vehicles on Power Distribution Systems." IEEE Transactions on Smart Grid 4.3 , pp.1351-1360, 2013.
 Akhavan-Rezai, E., et al. "Demand Responce Through Interactive Incorporation of plug-in Electric Vehicles." Power & Energy Society General Meeting, 2015 IEEE. IEEE, 2015.
 Jayaweera, Dilan, ed. Smart Power Systems and Renewable Energy System Integration. Vol. 57. Springer, 2016.