Potential Estimation of Hourly Blank Storage Space and Charge Loads of EVs using Road Traffic Census and Vehicles Status

Oda, Takuya; Ito, Masakazu; Kawasaki, Nana; Miyazaki, Takahiko; Kashiwagi, Takao

doi:10.1541/ieejpes.131.920

Cited by 10 publications

(4 citation statements)

References 4 publications

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“…The unit price of transactions between AGR and the electricity market is selected from [11] as a time-varying unit price. Figure 2 shows the power consumption of the GL calculated from the model in [7], Figure 3 shows the charging power of the EV load calculated from the model in [8], and Figure 4 shows the power generated by the PV system calculated from the model in [9]. Figure 5 shows the DF power flow in case 0.…”

Section: Simulation Conditionsmentioning

confidence: 99%

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Optimal Leveling Operation Scheduling of Microgrid for Distribution System Operator Using Virtual Power Interchange

Katsuzaki,

Shigenobu,

Takahashi

et al. 2024

Advances in Transdisciplinary Engineering

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This study focuses on the development of an energy management system (EMS) for a microgrid (MG) that prioritizes balanced demand-supply operation to accommodate the stakes of distribution system operator (DSO), consumers (CNSs), and aggregator (AGR). An innovative EMS model for MG is introduced, which integrates power interchange (PIC) through electric vehicle aggregation tracks (EVATs) within virtual distribution feeders (VFs). This model enables each PIC to determine its contribution to different areas and corresponding remuneration simultaneously. The research presents a problem formulation for leveling operations using mixed integer linear programming (MILP), explaining operation scheduling through case studies. The results demonstrate the economic disadvantages for CNSs and AGR of completely leveling of net load powers by DSO’s directives. Additionally, it is emphasized the significant role of PIC through EVATs, particularly in microgrids with surplus power of photovoltaic (PV) systems and less capacity of battery energy storage systems (BESSs).

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Section: Simulation Conditionsmentioning

confidence: 99%

“…These are determined simultaneously through optimization. ܲ ୋ,௧, (power consumption of the GL), ܲ ,௧, (charging power of the EV load), and ܲ ,௧, ୣ୬ (power generated by the PV system) are calculated from the model in [7], the model in [8], and the model in [9], respectively.…”

mentioning

confidence: 99%

Optimal Leveling Operation Scheduling of Microgrid for Distribution System Operator Using Virtual Power Interchange

Katsuzaki,

Shigenobu,

Takahashi

et al. 2024

Advances in Transdisciplinary Engineering

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“…The EV usage patterns are synthetically generated based on survey results. [12] Figure 2 shows the schematic image of our plant model for simulating thermal environment in a house. The AC model was developed on the basis of the literature.…”

Section: Simulation Models For Generating Synthetic Datasetsmentioning

confidence: 99%

Personalized Energy Management Systems for Home Appliances Based on Bayesian Networks

Shoji

Hirohashi

Fujimoto

et al. 2015

Journal of International Council on Electrical Engineering

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In Japan, the electricity consumption of household domestic appliances is increasing. The introduction of the demand response (DR) framework will promote electricity consumption reductions in the household sector by limiting electricity usage and by regulating the price of electricity. Because the appropriate operation patterns differ for each user under the DR programme, a home energy management system (HEMS) will play an important role by considering the priority of various home appliances and by appropriately modifying appliance operations to minimize the impact on a user's lifestyle. In this study, HEMS based on the Bayesian network is proposed; the system will learn the behaviour of a user and prioritize the operation of home appliances under restrictions on electricity consumption.

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“…Utilization of EV batteries is expected both in Japan and abroad. There are also estimations of future daily load curves for charging loads with regard to vehicle usage based on the data of national road traffic census [15].…”

Section: Introductionmentioning

confidence: 99%

Charging Load Aggregation Potential of Multiple Electric Vehicles Based on Road Traffic Census Data

Teshigawara

Ikegami

2017

Electrical Engineering Japan

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SUMMARY High penetration of renewable generation systems will lead to supply–demand imbalances, and will also require output curtailment of renewable power plants. We focused on management of electric vehicle fleet charging which can promote charging during specific time zone for reducing this curtailment. In this study, we evaluated the Charging Promoting Potential (CPP) of passenger electric vehicles (EVs) using optimization model based on the mixed‐integer linear programming. In addition, we also evaluated the CPP of other EVs, such as electric buses and electric trucks. We found that wider zone of the charging promoting time led effective concentration of charging load. Furthermore, we found that the CPP of the electric buses is higher than those of the passenger EVs and electric trucks.

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Potential Estimation of Hourly Blank Storage Space and Charge Loads of EVs using Road Traffic Census and Vehicles Status

Cited by 10 publications

References 4 publications

Optimal Leveling Operation Scheduling of Microgrid for Distribution System Operator Using Virtual Power Interchange

Optimal Leveling Operation Scheduling of Microgrid for Distribution System Operator Using Virtual Power Interchange

Personalized Energy Management Systems for Home Appliances Based on Bayesian Networks

Charging Load Aggregation Potential of Multiple Electric Vehicles Based on Road Traffic Census Data

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