Electric Vehicles Aggregator Participation in Energy Markets Considering Uncertainty Travel Patterns
Villanueva1, J. Luyo2, Alexi Delgado3, Ch. Carbajal4
1C. Villanueva, J. Luyo, Faculty of Mechanical Engineering, Universidad Nacional de Ingeniería, Lima, Peru.
2Alexi Delgado*, Department of Engineering, Mining Engineering Section, Pontificia Universidad Católica del Perú, Lima, Peru.
3Ch. Carbajal, Administration Program, Universidad de Ciencias y Humanidades, Lima, Peru.
Manuscript received on September 17, 2019. | Revised Manuscript received on 24 September, 2019. | Manuscript published on October 10, 2019. | PP: 4994-4998 | Volume-8 Issue-12, October 2019. | Retrieval Number: L37471081219/2019©BEIESP | DOI: 10.35940/ijitee.L3747.1081219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This research studies a general modeling to evaluate different scenarios of travel patterns and their impact on the daily cost negotiated in the Real Time and Day-Ahead market, using the GAMS methodology in a MILP model, evaluating also a characterization of the PQP market (price quantity probability). The purpose of this characterization is to determine the behavior of the electric energy market, considering also the deterioration of batteries and the negotiations of it in real time in situations of shortage and overload, optimizing in this way the effects of the analysis of the cost of the application of the battery on the different travel patterns, consequently triggering the emergence of the development of the local electric transport aggregator industry.
Keywords: Day Ahead Market, Electric Vehicle Aggregator, Energy Price, Real Time Market, State of Charge, Travel Patterns.
Scope of the Article: e-business