• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권9호
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• pp.4301-4319
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• 2017

Adopting mobile chargers (MC) in rechargeable wireless sensors network (R-WSN) to recharge sensors can increase network efficiency (e.g., reduce MC travel distance per tour, reduce MC effort, and prolong WSN lifetime). In this study, we propose a mechanism to split the sensing field into partitions that may be equally spaced but differ in distance to the base station. Moreover, we focus on minimizing the MC effort by providing a new charging mechanism called the sector-based charging schedule (SBCS), which works to dispatch the MC in charging trips to the sector that sends many charging requests and suggesting an efficient sensor-charging algorithm. Specifically, we first utilize the high ability of the BS to divide the R-WSN field into sectors then it select the cluster head for each sector to reduce the intra-node communication. Second, we formulate the charging productivity as NP-hard problem and then conduct experimental simulations to evaluate the performance of the proposed mechanism. An extensive comparison is performed with other mechanisms. Experimental results demonstrate that the SBCS mechanism can prolong the lifetime of R-WSNs by increasing the charging productivity about 20% and reducing the MC effort by about 30%.

• 전기학회논문지
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• 제65권4호
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• pp.547-554
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• 2016

Analyze the customer daily load patterns, be used to determine the optimal charging and discharging schedule which can minimize the electrical charges through the battery energy storage system(BESS) installed in consumers is an object of this paper. BESS, which analyzes the load characteristics of customer and reduce the peak load, is essential for optimal charging and discharging scheduling to save electricity charges. This thesis proposes optimal charging and discharging scheduling method, using particle swarm optimization (PSO) and penalty function method, of BESS for reducing energy charge. Since PSO is a global optimization algorithm, best charging and discharging scheduling can be found effectively. In addition, penalty function method was combined with PSO in order to handle many constraint conditions. After analysing the load patterns of target BESS, PSO based on penalty function method was applied to get optimal charging and discharging schedule.

• 한국산학기술학회논문지
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• 제19권5호
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• pp.632-639
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• 2018

최근 플러그인 전기자동차에 대한 적극적인 보급 정책이 추진되고 있으나 플러그인 전기자동차는 전력계통에 직접 연계되어 충전수요를 공급받기 때문에 충전수요의 집중도에 따라서는 전력계통의 설비확충이 요구될 수도 있다. 반면 전력계통의 설비확충은 많은 시간과 투자가 소요되어 현실적으로 제한될 수밖에 없기 때문에 기존의 전력망을 효율적으로 이용하여 플러그인 전기자동차의 충전수요를 안정적으로 공급하는 것은 플러그인 전기자동차의 보급 확대에도 중요한 요소라고 할 수 있다. 따라서 본 논문에서는 주어진 전력계통에서 선로조류와 모선전압과 같은 제약조건을 만족하면서 플러그인 전기자동차의 충전수요를 공급하기 위한 충전계획 수립방안을 제안한다. 이를 위해 자동차의 주행 패턴과 충전 요금제를 기준으로 플러그인 전기자동차 충전수요의 요구량과 충전 시작시간을 전기자동차별로 모델링 한 후 이를 전력계통 모델에 연계하여 조류계산을 계산하여 전력계통의 운전 상태를 모의하였다. 또한 선로의 전력조류와 모선의 전압에 대한 제약 조건의 만족 여부를 확인하며 제약조건에 위반이 발생하는 경우 이를 완화하기 위해 제약조건에 직접 관련된 플러그인 전기자동차의 충전수요를 조정하여 계통제약의 만족여부를 재확인하는 과정을 반복함으로써 주어진 전력계통의 제약조건을 만족할 수 있는 플러그인 전기자동차의 충전계획을 수립하였다.

• ETRI Journal
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• 제41권3호
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• pp.326-336
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• 2019

A wireless power transfer technique can solve the power capacity problem in wireless rechargeable sensor networks (WRSNs). The charging strategy is a wide-spread research problem. In this paper, we propose a demand-based charging strategy (DBCS) for WRSNs. We improved the charging programming in four ways: clustering method, selecting to-be-charged nodes, charging path, and charging schedule. First, we proposed a multipoint improved K-means (MIKmeans) clustering algorithm to balance the energy consumption, which can group nodes based on location, residual energy, and historical contribution. Second, the dynamic selection algorithm for charging nodes (DSACN) was proposed to select on-demand charging nodes. Third, we designed simulated annealing based on performance and efficiency (SABPE) to optimize the charging path for a mobile charging vehicle (MCV) and reduce the charging time. Last, we proposed the DBCS to enhance the efficiency of the MCV. Simulations reveal that the strategy can achieve better performance in terms of reducing the charging path, thus increasing communication effectiveness and residual energy utility.

• 인터넷정보학회논문지
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• 제24권1호
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• pp.87-97
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• 2023

충전기 인프라 시설은 일정한 전력 공급량을 기반으로 설계 및 설치되어 있다. 초기 설계된 충전 시설은 급속히 성장하는 전기 차량의 충전을 한정된 공급 전력량 기반으로 지원한다. 또한, 현재 상용차량은 완전 충전만 가능하며, 급속 균등 충전 방식으로 지원된다. 하지만 상용차량은 정해진 스케줄에 따라 운영되기에 탄력적인 충전이 필수적이다. 본 논문에서는 전기 차량의 급속한 성장 및 증가에 따라 동일 전력량을 기반으로 상용 버스의 고정 스케줄 기반 충전 스케쥴링 및 전력 분배 기법을 활용하여 20%이상 효율 향상된 전력 운영방안을 제시한다.

• 전력전자학회:학술대회논문집
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• 전력전자학회 2014년도 전력전자학술대회 논문집
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• pp.482-483
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• 2014

In this paper, an electric yard tractor (YT) with furtive charging system is investigated. YT is one of pollution sources in container terminals. The furtive charging system does not impose difficulties on YT day-schedule because charging is performed when a YT is waiting under RTGC (Rubber Type Gantry crane) or Quay-wall crane.

• 한국전자통신학회논문지
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• 제11권4호
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• pp.395-402
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• 2016

DC ${\mu}$-Grid 기반의 충/방전 시스템에서 배터리의 동작 변환 시, 망 전압의 fluctuation이 발생하게 되며, 과다한 fluctuation은 충/방전 시스템의 손상 및 고장을 일으킬 수 있다. 따라서 본 논문에서는 DC ${\mu}$-Grid 기반의 충/방전 시스템에서 fluctuation 완화용 커패시터의 적용 및 설계 포인트에 대하여 연구하였다. 컴퓨터 시뮬레이션 결과, 3개의 충전 배터리 set와 5개의 방전 배터리 set의 조건으로 운영되는 DC ${\mu}$-Grid 기반 충/방전 시스템에서 600V/35mF의 초기 값을 갖는 fluctuation 완화용 커패시터를 적용하였을 때 충/방전에 의한 fluctuation을 약 66.3% 감소시킬 수 있었으며, 추가적으로 초기 망 전압 안정화 시 발생하는 fluctuation 또한 약 73% 감소시킬 수 있었다.

• KEPCO Journal on Electric Power and Energy
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• 제6권3호
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• pp.315-319
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• 2020

The modern transportation and mobility sector is expected to encounter high penetration of Electric Vehicles (EVs) because EVs contribute to reducing the harmful emissions from fossil fuel-powered vehicles. With the prospective growth of EVs, sufficient and convenient facilities for fast charging are crucial toward satisfying the EVs' quick charging demand during their trip. Therefore, the Fast Electric Vehicle Charging Stations (FECS) will be a similar role to gas stations. In this paper, we study a charging scheduling problem for the FECS with solar photovoltaic (PV) and an Energy Storage System (ESS). We formulate an optimization problem that minimizes the operational costs of FECS. There are two cost and one revenue terms that are buying cost from main grid power, ESS degradation cost, and revenue from the charging fee of the EVs. Simulation results show that the proposed scheduling algorithm reduces the daily operational cost by effectively using solar PV and ESS.

• Journal of Communications and Networks
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• 제14권6호
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• pp.672-681
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• 2012

A potential breakthrough of the electrification of the vehicle fleet will incur a steep rise in the load on the electrical power grid. To avoid huge grid investments, coordinated charging of those vehicles is a must. In this paper, we assess algorithms to schedule charging of plug-in (hybrid) electric vehicles as to minimize the additional peak load they might cause. We first introduce two approaches, one based on a classical optimization approach using quadratic programming, and a second one, market based coordination, which is a multi-agent system that uses bidding on a virtual market to reach an equilibrium price that matches demand and supply. We benchmark these two methods against each other, as well as to a baseline scenario of uncontrolled charging. Our simulation results covering a residential area with 63 households show that controlled charging reduces peak load, load variability, and deviations from the nominal grid voltage.

• 전기학회논문지
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• 제67권3호
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• pp.343-351
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• 2018

Renewable energy sources has drawn considerable attention as clean energy sources because of changing public attitudes regarding greenhouse gas and fine dust. Recently, in this respect, the government provides the drivers of electric vehicles with various benefits such as tax reduction, financial incentives and free parking from the public to the private sector. Plug-in electric vehicles are the most common in the private sector. Otherwise, different types of battery-based buses in the public sector are being developed, and there are three main types of charging: plug-in, battery swapping and wireless. Therefore, economic assessment of charging types in each bus route is required in order to facilitate the use of battery-based buses instead of the existing CNG buses. In this paper, net present value(NPV) and B/C ratio of charging types are evaluated in consideration of the bus schedule, the cost of charging station, and the life cycle of battery, etc. per each bus route. In case study, main bus routes in Daegu City are simulated with the proposed evaluation method to validate the eco-bus project.