Pricing Scheme for EV Charging Load Penetration in Distribution Network: Study Case Jakarta

2019 7th International Conference on Smart Grid (icSmartGrid) Pub Date : 2019-12-01 DOI:10.1109/icSmartGrid48354.2019.8990696

Ardy Gamawanto, Muhamad Urfan Qinthara, F. S. Rahman, K. M. Banjar-Nahor, N. Hariyanto

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引用次数: 5

Abstract

Indonesia is going to enter the new era of electric vehicle. In this paper, the charging load of electric vehicles (EVs) is presented along with the operational cost optimization of the distribution grid based on the trend and the development of EVs in Indonesia from 2020 until 2030. Since the development of EVs in Indonesia has just officially begun, the charging loads and demand data from several types of EVs are analyzed. With no historical data for Jakarta, Monte Carlo simulation method is proposed with 3 main scenarios for forecasting the charging load of EVs, which are reference, moderate and advanced scenario. Operational cost optimization approach is proposed in order to achieve the most preferable pricing scheme for EV charging load in the distribution network. Accordingly, the optimization will be made based on the 3 main scenarios used in the forecasting process. As a study case, Jakarta City is chosen as the main object to analyze the best pricing strategy of the development of EVs throughout 2030 as its debut to start the electric transportation era.

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配电网电动汽车充电负荷渗透定价方案:以雅加达为例

印尼即将进入电动汽车的新时代。本文根据印尼2020 - 2030年电动汽车的发展趋势，提出了电动汽车的充电负荷以及配电网的运行成本优化。由于印尼电动汽车的发展刚刚正式开始，本文分析了几种类型电动汽车的充电负荷和需求数据。在没有雅加达市历史数据的情况下，提出了蒙特卡罗模拟方法，对参考、中等和高级3种场景下的电动汽车充电负荷进行预测。为获得配电网中最优的电动汽车充电负荷定价方案，提出了运行成本优化方法。因此，将根据预测过程中使用的3种主要场景进行优化。作为研究案例，选取雅加达市作为主要对象，分析整个2030年电动汽车发展的最佳定价策略，作为其开启电动交通时代的首个城市。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2019 7th International Conference on Smart Grid (icSmartGrid)

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