04081nas a2200493 a 4500 20260818170720.0 210210s2018 th uu m rtt 0 a eng d .b12309813 AIT Thesis no.ET-18-17 Pantakan Tangeuab Optimal and stochastic aggregation of electric vehicles in smart distribution system considering dynamic TOU pricing Pathum Thani, Thailand : Asian Institute of Technology, 2018 133 leaves : ill. Thesis ; no. ET-18-17 A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Energy Thesis (M.Eng.) - Asian Institute of Technology, 2018 The EVs can achieve zero CO2 emission to be environment friendly. It has potentials to reduce the cost of the transportation systems. The development of the EVs is on an accelerated pace. As new loads in the distribution grid, charging EVs could influence the operation of the distribution grid. Firstly, this research aims to show the impact of EV charging based on different EV penetrations using Hua-Hin substation no.3 to be a test system. To make the outcome more realistic, the stochastic process consisting of Goodness-of-fit (GOF) test and Monte Carlo Simulation are used in this research. The outputs from stochastic process including random driving distance, random arrival time and random departure time and those data would be used to represent the EV charging demand consumptions. Finally, the smart charging scheme focusing on minimized charging cost by considering the network constraints is proposed. The smart charging scheme is developed by using Digsilent Programming Language (DPL) in DIgSILENT software focusing on minimized charging cost and considering the network constraints. Smart charging applications are implemented in different charging schemes comprising of random charging scheme, smart charging based TOU pricing, and smart charging based dynamic pricing in order to show the best solution which can achieve the customer{u2019}s benefit in form of economic charging. Similarly, the grid utilities can also get the benefits such as peak demand curtailment by shifting EV consumptions to off-peak or lowest price hours, increase operating capacity of electrical devices. As a result, the smart charging scheme is a useful solution to support the rapidly grow of EV technology transition in the nearly future effectively. Electric vehicles Power supply Power resources Stochastic models Weerakorn Ongsakul, Chairperson Singh, Jai Govind, Examination Committee Bakir, Yuosre F.M., Examination committee PEA, Scholarship donor AIT education Cooperation Project, Scholarship donor Royal Thai Government Fellowship, Scholarship donor Asian Institute of Technology. Thesis ; no. ET-18-17 Full-Text http://203.159.5.9/ait-thesis/detail.php?q=B06333 .b12309813 mnait m 240422 0 210210 m a m 0 mnait mnait mnarc mnarc 40 61 20 Barcode : 30050120894810 CREATED : 2019-05-22 RECORD # : i13187387 LPATRON : 0 LCHKIN : - # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 0 TOT RENEW : 0 Barcode : - CREATED : 2019-05-22 RECORD # : i13187399 LPATRON : 0 LCHKIN : - # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 0 TOT RENEW : 0 Barcode : 30050121013733 CREATED : 2021-10-02 RECORD # : i13323398 LPATRON : 0 LCHKIN : - # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 0 TOT RENEW : 0 Barcode : 30050121013725 CREATED : 2021-10-02 RECORD # : i13323404 LPATRON : 0 LCHKIN : - # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 0 TOT RENEW : 0 83703 83703 0 0 0 0 MAIN MAIN mnarc 2026-08-18 0 AIT Thesis no.ET-18-17 30050120894810 2026-08-18 17:07:20 1 2026-08-18 40 0 0 0 0 MAIN MAIN mnarc 2026-08-18 0 AIT Thesis no.ET-18-17 2026-08-18 17:07:20 2026-08-18 61 0 0 0 0 MAIN MAIN mnait 2026-08-18 50.00 0 AIT Thesis no.ET-18-17 30050121013733 2026-08-18 17:07:20 1 2026-08-18 20 0 0 0 0 MAIN MAIN mnait 2026-08-18 50.00 0 AIT Thesis no.ET-18-17 30050121013725 2026-08-18 17:07:20 2 2026-08-18 20