Monte Carlo simulation of uncontrolled Electric Vehicle charging impact on distributed generation

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Published: Nov 22, 2023
Updated: 2023-11-22
Versions:
2023-11-22 (4)
DOI: https://doi.org/10.17163/ings.n30.2023.10
Keywords:
Electric Vehicles, Monte Carlo Simulation, Optimal Power Flow, Photovoltaic and Storage System, Not Served Power, Power System

Main Article Content

Carlos W. Villanueva-Machado
https://orcid.org/0000-0002-0925-2541
Jaime E. Luyo
https://orcid.org/0000-0002-1890-8127
Alberto Rios-Villacorta
https://orcid.org/0000-0001-7334-5681

Abstract

The uncontrolled charging of electric vehicles poses a great challenge for distribution network operators and power system planners. Instead of focusing on controlling this uncontrolled load, a model that uses contingency analysis variables to calculate the power capacity needed in the power system is proposed. The unserved power variable is used to evaluate the amount of uncovered load power at each bus of the system, followed by the calculation of the additional power capacity required using a photovoltaic and storage system and another constant generation alternative in the 14-bus IEEE power system with information on some electric vehicles and daily load in the power system of Peru. The results obtained in the power system with distributed generation, the absence of unserved power, corroborate the success of the methodology used. This model provides tools to both distribution network operators and power system planners, reducing the impact on the power system of electric vehicles and providing a methodology applicable to other electric distribution systems with uncontrolled loads.

Article Details

Issue
No. 30 (2023): july-december
Section
Automotive Engineering
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Author Biographies

Carlos W. Villanueva-Machado

Carlos Villanueva Machado, Born in 1992 in Peru. Studying D. Sc. with mention in Energetic, from Universidad Nacional de Ingeniería, UNI, Lima, Peru. M. Sc. with mention in Energetic, from Universidad Nacional de Ingeniería, UNI, Lima, Peru, Bachelor in Mechanical & Electrical engineering from Universidad Nacional de Ingeniería,UNI, Lima, Peru. Electric operation analyst Junior. Independent professional for analysis, model, simulation, optimization of energy systems and engineering projects. Expertise in energy modelling & simulation programs as Matlab, Octave, GAMS, DigSilent, Python. Certified in English and Portuguese idioms. Certified in the program Transformation towards Smart Electric Networks in Electricity Distribution Companies.

Jaime E. Luyo

Table 5. Uncontrollably Charging Electric Vehicle (Projected Data 2023 - 2031). Year Total Vehicles Cumulative EV Sales Market Participation Uncontrollably Charging Rate Uncontrollably Charging EVs    N° N° EVs % % N° EVs 2023 366,900-372,700 2,450-2,930 6.67%-7.85% 85.30%-86.70% 2,120-2,490 2024 375,800-385,900 3,180-4,170 8.45%-10.81% 84.30%-85.80% 2,719-3,460 2025 384,000-399,800 4,200-5,750 10.94%-14.39% 83.30%-84.90% 3,606-4,880 2026 392,300-414,500 5,480-7,770 13.97%-18.74% 82.30%-84.00% 4,760-7,070 2027 400,800-430,000 7,190-10,350 17.95%-24.07% 81.30%-83.10% 6,455-9,060 2028 409,400-446,400 9,370-13,500 22.84%-30.21% 80.30%-82.20% 8,485-11,978 2029 418,200-463,700 12,030-17,350 28.73%-37.40% 79.30%-81.30% 10,963-16,652 2030 427,100-482,100 15,220-22,020 35.63%-45.65% 78.30%-80.40% 14,372-17,494 2031 436,100-501,600 18,920-27,650 43.31%-55.31% 77.30%-79.50% 15,390-24,768 Source 1. Based in IEA using AI (chat GPT)   Jaime E. Luyo Kuong, Graduated, "Unanimous Distinction”, at the National University of Engineering, UNI, Lima, Peru. Master of Science in Electrical Engineering, Rensselaer Polytechnic Institute, U.S.A. PhD in Economics from the National University of San Marcos, UNMSM, Best Student, Lima, Peru. Postgraduate studies: Duke University, U. S. A.; International Centre for Theoretical Physics, Italy. Speaker at: 2013 World Energy Congress, South Korea; UNESCO, Paris; countries of Europe and America. More than 100 research articles published. Research fields and expertise: Planning and Energy Policy; Sustainable Energy Development; Energy and Services Markets; Economic and Energy Systems; Energy Economics; Electric Power Systems Economics.

Alberto Rios-Villacorta

Alberto Ríos Villacorta, Born in Lima, Perú, in 1969. Electrical Engineer, specialized in Electrical Systems, Faculty of Energy, Polytechnic Institute of Belarus, Union of Soviet Socialist Republics, USSR, 1993. Master in Renewable Energies, European University of Madrid-Iberdrola, Spain, 2004. Doctor in Electrical Engineering, Department of Electrical Engineering, Carlos III University of Madrid, Spain, 2007. Since 2017 is Principal Professor at the Technical University of Ambato. Director of the REWA-RD Research Group, Renewable Energy & Web Architecture -Research and Development, Technical University of Ambato, Ecuador.

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