• Title/Summary/Keyword: Vehicle to Grid, V2G

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The Operating Expenditure Optimal Algorithm considering Battery's Wear Features for V2G System (V2G 시스템에서 배터리의 열화특성을 고려한 OPEX 최적화 알고리즘)

  • Hwang, Jun-Ha;Shin, Min-Ho;Ko, An-Yeol;Kim, Young-Real;Won, Chung-Yuen
    • Proceedings of the KIPE Conference
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    • 2014.07a
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    • pp.536-537
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    • 2014
  • 전력망과 전기자동차 배터리를 연계하여 양방향으로 전력을 송전하는 V2G(Vehicle to Grid) 시스템은 충/방전 시 AC/DC PWM 컨버터와 양방향 DC/DC 컨버터를 사용한다. 기존 V2G 시스템은 컨버터에 충전 지령과 방전 지령을 줄 때, 전기요금과 배터리의 용량만을 고려하여 지령을 주었다. 본 논문에서는 배터리의 열화특성을 비용으로 나타내고 전기요금과 배터리의 용량을 같이 고려하여 OPEX(Operating Expenditure)로 나타냈다. 또한 사용자의 입장에서 최적의 OPEX를 구하는 알고리즘을 제안하고 시뮬레이션을 통하여 검증하였다.

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Bi-Directional Wireless Power Transfer for Vehicle-to-Grid Systems

  • Sun, Yue;Jiang, Cheng;Wang, Zhihui;Xiang, Lijuan;Zhang, Huan
    • Journal of Power Electronics
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    • v.18 no.4
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    • pp.1190-1200
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    • 2018
  • A current sourced bi-directional wireless power transfer (WPT) system is proposed to solve the problems that exist in the bi-directional WPT for vehicle-to-grid (V2G) systems. These problems include the fact that these systems are not safe enough, the output power is limited and the control methods are complicated. Firstly, the proposed system adopts two different compensation and control methods on both the primary and secondary sides. Secondly, based on an AC impedance analysis, the working principle is analyzed and the parameter configuration method with frequency stability is given. In order to output a constant voltage, a bi-directional DC/DC circuit and a controllable rectifier bridge are adopted, which are based on the "constant primary current, constant secondary voltage" control strategy. Finally, the effectiveness and feasibility of the proposed methods are verified by experimental results.

Development of Bi-directional Charger With a Wide Voltage Range (넓은 전압 범위를 갖는 양방향 충전기 개발)

  • Na, Jaeho;Park, Jun-Sung;Jeon, Yujong;Shin, Wae-Gyeong;Lee, Chungyoul;Kim, Rae-Young
    • The Transactions of the Korean Institute of Power Electronics
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    • v.27 no.1
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    • pp.74-79
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    • 2022
  • This paper proposes a DC-DC converter that satisfies a wide output voltage of 150 V-1000 V for the battery voltage of various electric vehicles and can be controlled in both directions for the demand resource of electric vehicles. The proposed converter is a two-stage structure in which an insulated converter and a non-isolated converter are combined and operates as constant current or constant power depending on the voltage of the connected battery. Experimental results from a 20 kW prototype are provided to validate the proposed charger, and a maximum efficiency of 97% is obtained.

A Bidirectional Hybrid Switching Full-Bridge Converter with Active Clamp Circuit for V2G Applications (V2G 응용을 위한 능동클램프 회로를 가진 양방향 하이브리드 스위칭 풀브리지 컨버터)

  • Vuand, Hai-Nam;Choi, Woojin
    • Proceedings of the KIPE Conference
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    • 2016.07a
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    • pp.335-336
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    • 2016
  • This paper introduces a bidirectional full-bridge converter with new active damp structure. The proposed active damp circuit can damp the oscillating voltage across the rectifier diodes with a smaller voltage stress of the damping capacitor and eliminate the circulating current. In addition, the proposed converter can achieve additional advantages such as nearly ZCS switching for leading-leg switches and no recovery current for rectifier-bridge by the suitable design of the damp capacitor to resonate with leakage inductor. Since the ZVS is achieved for both leading-leg and lagging-leg switches by the magnetizing current of the transformer, it can be achieved regardless of the load variation. A 3.3 kW prototype converter is implemented for vehicle-to-grid (V2G) application and the advantages of the proposed converter are verified by the experiments. The maximum efficiencies of 98.2% and 97.6% have been achieved for the buck mode and boost mode operation, respectively.

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The Study for EV Charging Infrastructure connected with Microgrid (마이크로그리드와 연계된 전기자동차 충전인프라에 관한 연구)

  • Hun Shim
    • Journal of Internet of Things and Convergence
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    • v.10 no.1
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    • pp.1-6
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    • 2024
  • In order to increase the use of electric vehicles (EVs) and minimize grid strain, microgrid using renewable energy must take an important role. Microgrid may use fossil fuels such as small diesel power, but in many cases, they can be supplied with energy from renewable energy, which is an eco-friendly energy source. However, renewable energy such as solar and wind power have variable output characteristics. Therefore, in order to meet the charging and discharging energy demands of electric vehicles and at the same time supply load power stably, it is necessary to review the configuration of electric vehicle charging infrastructure that utilizes diesel power or electric vehicle-to-grid (V2G) as a parallel energy source in the microgrid. Against this background, this study modelized a microgrid that can stably supply power to loads using solar power, wind power, diesel power, and V2G. The proposed microgrid uses solar power and wind power generation as the primary supply energy source to respond to power demand, and determines the operation type of the load's electric vehicles and the rotation speed of the load synchronous machine to provide stable power from diesel power for insufficient generations. In order to verify the system performance of the proposed model, we studied the stable operation plan of the microgrid by simulating it with MATLAB /Simulink.

Current Ripple Reduction Method of 3-phase Interleaved Bidirectional DC-DC Converter with the Consideration of Input and Output Voltage Variation (입·출력 전압 변동을 고려한 3상 인터리브드 양방향 DC-DC컨버터의 전류리플 저감 기법)

  • Sun, Daun;Jung, Jae-Hun;Nho, Eui-Cheol;Joung, Gyu-Bum
    • The Transactions of the Korean Institute of Power Electronics
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    • v.21 no.5
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    • pp.427-433
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    • 2016
  • This paper proposes a new method for the current ripple reduction of a three-phase interleaved bidirectional DC-DC converter. Usually, the three-phase interleaved bidirectional DC-DC converter is used for battery charging and discharging to reduce battery current ripple. In V2G application, a PWM AC-DC converter is used to connect the AC power grid and three-phase interleaved bidirectional DC-DC converter for battery charging and discharging. The magnitude of DC link voltage affects the battery current ripple magnitude. Therefore, the magnitude of the battery ripple current is analyzed with variations of battery and DC link voltages. The ripple current magnitude is found to be minimized by controlling the DC link voltage. Simulation and experimental results show the usefulness of the proposed method.

Rapid Electric Vehicle Charging System with Enhanced V2G Performance

  • Kang, Taewon;Kim, Changwoo;Suh, Yongsug;Park, Hyeoncheol;Kang, Byungik;Kim, Simon
    • Proceedings of the KIPE Conference
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    • 2012.07a
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    • pp.201-202
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    • 2012
  • This paper presents a simple and cost-effective stand-alone rapid battery charging system of 30kW for electric vehicles. The proposed system mainly consists of active front-end rectifier of neutral point clamped 3-level type and non-isolated bi-directional dc-dc converter of multi-phase interleaved half-bridge topology. The charging system is designed to operate for both lithium-polymer and lithium-ion batteries. The complete charging sequence is made up of three sub-interval operating modes; pre-charging mode, constant-current mode, and constant-voltage mode. Each mode is operated according to battery states: voltage, current and State of Charging (SOC). The proposed system is able to reach the full-charge state within less than 16min for the battery capacity of 8kWh by supplying the charging current of 67A. The optimal discharging algorithm for Vehicle to the Grid (V2G) operation has been adopted to maintain the discharging current of 1C. Owing to the simple and compact power conversion scheme, the proposed solution has superior module-friendly mechanical structure which is absolutely required to realize flexible power expansion capability in a very high-current rapid charging system. Experiment waveforms confirm the proposed functionality of the charging system.

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Forecast study for active factor of V2B(Vehicle to Building) operation zero energy building using monte carlo method (몬테카를로방법을 이용한 V2B(Vehicle to Building) 운용 제로에너지빌딩의 액티브 요소 예측 연구)

  • Kim, Youngil;Kim, Insoo
    • Journal of Energy Engineering
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    • v.26 no.4
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    • pp.29-34
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    • 2017
  • Factors of Zero-Energy Building are divided into active and passive factor. Passive factor means insulation, heat bridge of building like insulation, windows and doors, awning, outside etc. and active factor means energy output and efficiency coefficient. Energy output of active factor is achieved by new generating energy. This study anticipated how many effects will be produced when not new generating energy but Vehicle to Building; V2B, bi-directional charging and discharging technology, is applied to Zero-Energy Building. In new generating energy, power generation will be anticipated by geography and climate, but in V2B, several input variable like user's discharging intention and number of usable charger etc. should be considered. We can check how much V2B contribute to the Zero-Energy Building by anticipated results, and that results should be anticipated by using probabilitic method because there is few statistical data. This study anticipate change of charging and discharging pattern, based by Demand Response slot, by using monte carlo method among the probabilitic methods.

Reinforcement Learning Based Energy Control Method for Smart Energy Buildings Integrated with V2G Station (강화학습 기반 V2G Station 연계형 스마트 에너지 빌딩 전력 제어 기법)

  • Seok-Min Choi;Sun-Yong Kim
    • The Journal of the Korea institute of electronic communication sciences
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    • v.19 no.3
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    • pp.515-522
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    • 2024
  • Energy consumption is steadily increasing, and buildings in particular account for more than 20% of the total energy consumption around the world. As an effort to cost-effectively manage the energy consumption of buildings, many research groups have recently focused on Smart Building Energy Management Systems (BEMS), which are deepening the research depth by applying artificial intelligence(AI). In this paper, we propose a reinforcement learning-based energy control method for smart energy buildings integrated with V2G station, which aims to reduce the total energy cost of the building. The results of performance evaluation based on the energy consumption data measured in the real-world building shows that the proposed method can gradually reduce the total energy costs of the building as the learning process progresses.

Optimal Coordination of Charging and Frequency Regulation for an Electric Vehicle Aggregator Using Least Square Monte-Carlo (LSMC) with Modeling of Electricity Price Uncertainty

  • Lee, Jong-Uk;Wi, Young-Min;Kim, Youngwook;Joo, Sung-Kwan
    • Journal of Electrical Engineering and Technology
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    • v.8 no.6
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    • pp.1269-1275
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    • 2013
  • Recently, many studies have suggested that an electric vehicle (EV) is one of the means for increasing the reliability of power systems in new energy environments. EVs can make a contribution to improving reliability by providing frequency regulation in power systems in which the Vehicle-to-Grid (V2G) technology has been implemented and, if economically viable, can be helpful in increasing power system reliability. This paper presents a stochastic method for optimal coordination of charging and frequency regulation decisions for an EV aggregator using the Least Square Monte-Carlo (LSMC) with modeling of electricity price uncertainty. The LSMC can be used to assess the value of options based on electricity price uncertainty in order to simultaneously optimize the scheduling of EV charging and regulation service for the EV aggregator. The results of a numerical example show that the proposed method can significantly improve the expected profits of an EV aggregator.