Stochastic Load Modeling for Electric Vehicle Charging Load Case Study: Pattaya City Thailand

Abstract:

This paper presents a Monte Carlo-based method used in modeling electrical load occurring from electric vehicle battery charging and assessing its impact on the distribution system in case of an extensive residential use of electric vehicles. The state of charge and starting time are parameters considered stochastic in nature. As such they can be appropriately represented by a standard distribution function. In this paper a case study is demonstrated using a 22-kV distribution network located in an urban service area of the Provincial Electricity Authority (PEA). Based on the PEA’s typical daily load profile, a new load profile which includes the effect of electric vehicle charging is developed. The expected impact on the line overload and quality standard of voltage caused by electric vehicle charging can be forecasted. Results of the study are applicable for system planning to accommodate an expansion in the network capacity due to the growth in electric vehicle number.

• Periodical: Advanced Materials Research (Volumes 953-954)
• Pages: 1392-1401
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.953-954.1392
• Online since: June 2014
• Authors: Suthida Ruayariyasub*, Somporn Sirisumrannukul, Suksan Wangsatitwong
• Keywords: Electric Vehicle Load Modeling, Monte Carlo-Based Method, Stochastic Load Modeling

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