• 전기학회논문지
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• 제56권11호
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• pp.1903-1909
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• 2007

As the electric power industry has been revolutionarily transformed such that the distributed energy resources have been interconnected with power systems and a variety of energy service providers have been appeared, the need of Consumer Energy Portal as a core of two-way communication and service infrastructure between power suppliers and consumers has been gradually increased. Consumer Energy Portal can be thought of as a combination of hardware and software enabling two-way communication between energy service providers and equipment within the consumers' premises or a physical and logical link between consumers' in-building networks and wide-area access networks. In other words, Consumer Energy Portal can make the way the power industry has been traditionally operated the web-based way, enabling two-way interactions between energy service providers and consumers and mutual networking between end users' equipment. Thus, Consumer Energy Portal can be a kind of Service portal that provides new value-added services and efficient power operations that in the past. In this paper, for ESPs' integrated resources management, demand side management and value-added service provision, we have established the two-way access network that can gather real-time metering data using ZigBee technology and control physically networked equipment.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제8권1호
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• pp.108-122
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• 2014

Massive antenna array is an attractive candidate technique for future broadband wireless communications to acquire high spectrum and energy efficiency. However, such benefits can be realized only when proper channel information is available at the transmitter. Since the amount of the channel information required by the transmitter is large for massive antennas, the feedback is burdensome in practice, especially for frequency division duplex (FDD) systems, and needs normally to be reduced. In this paper a novel channel feedback reduction scheme based on the theory of distributed compressive sensing (DCS) is proposed to apply to massive antenna arrays with spatial correlation, which brings substantially reduced feedback load. Simulation results prove that the novel scheme is better than the channel feedback technique based on traditional compressive sensing (CS) in the aspects of mean square error (MSE), cumulative distributed function (CDF) performance and feedback resources saving.

• 전기학회논문지
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• 제65권12호
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• pp.2251-2261
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• 2016

The use of renewable energy sources and energy storage systems is increasing due to new policies in the energy industries. However, the increase in distributed generation hinders the reliability of power systems. In order to stabilize power systems, a virtual power plant has been proposed as a novel power grid management system. The virtual power plant plays includes different distributed energy resources and energy storage systems. We define a core virtual power plant technology related to demand response and ancillary service for the cases of Korea, America, and Europe. We also suggest applications of the proposed virtual power plant to the vehicle-to-grid market for restructuring national power industries in Korea.

• 전력전자학회논문지
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• 제17권5호
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• pp.438-444
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• 2012

This paper deals with the active and reactive power control of Grid connected system. It was shown that active power and reactive power can be dependently controlled with two individually adaptable parameters. The two parameters are power angle and voltage magnitude. Transient state will occur with active or reactive power reference value variation. This paper presents a new control strategy for active and reactive power control of less interaction and improved transient response. The paper details the control technique by the mathematical and electrical network analysis of the methodology. The performance was verified through computer simulation using MATLAB Simulink and experiment.

• 한국항해항만학회지
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• 제33권6호
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• pp.457-462
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• 2009

본 논문은 Newton-Rhapson법으로 조류계산을 하여 해양도시내 분산전원의 최적 설치점에 대해 연구하였다. 도시 내에 분산전원을 설치할 경우 대규모 발전소나 송전설비를 추가 건설하지 않고도 효율적으로 필요한 전력을 공급할 수 있는 장점이 있다. 따라서 전 세계적으로 분산전원은 도시 에너지원으로 주목받고 있다. 그러나 도시 내의 전원 설치지점 변경에 따른 전력손실 평가에 대한 연구는 미흡한 실정이다. 따라서 본 논문에서는 분산전원이 주변의 선로에 미치는 전력손실을 최소화 할 수 있도록, 분산전원의 최적 설치지점을 선정하는 방안을 제안한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권8호
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• pp.2821-2839
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• 2015

Energy consumption by large computing systems has become an important research theme not only because the sources of energy are depleting fast but also due to the environmental concern. Computational grid is a huge distributed computing platform for the applications that require high end computing resources and consume enormous energy to facilitate execution of jobs. The organizations which are offering services for high end computation, are more cautious about energy consumption and taking utmost steps for saving energy. Therefore, this paper proposes a scheduling technique for Minimizing Energy consumption using Adapted Genetic Algorithm (MiE-AGA) for dependent tasks in Computational Grid (CG). In MiE-AGA, fitness function formulation for energy consumption has been mathematically formulated. An adapted genetic algorithm has been developed for minimizing energy consumption with appropriate modifications in each components of original genetic algorithm such as representation of chromosome, crossover, mutation and inversion operations. Pseudo code for MiE-AGA and its components has been developed with appropriate examples. MiE-AGA is simulated using Java based programs integrated with GridSim. Analysis of simulation results in terms of energy consumption, makespan and average utilization of resources clearly reveals that MiE-AGA effectively optimizes energy, makespan and average utilization of resources in CG. Comparative analysis of the optimization performance between MiE-AGA and the state-of-the-arts algorithms: EAMM, HEFT, Min-Min and Max-Min shows the effectiveness of the model.

• Journal of Power Electronics
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• 제3권2호
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• pp.81-89
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• 2003

The global electrical energy consumption is still rising and there is a steady demand to increase the power capacity, to produce, distribute and use the energy as0 efficient as possible and furthermore to set up incentives to save energy at the md-user. Two major technologies will play important roles to fulfill those targets. One is to change the electrical power production sources from the conventional, fossil (and short term) based energy sources to renewable energy resources. The other is to use high efficiency power electronics in power systems for high efficiency and high performance applications. This paper discusses both areas, in particular the power electronic application in wind power integration.

• 전기학회논문지
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• 제57권9호
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• pp.1491-1499
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• 2008

This paper presents a study on reliability evaluation of a power system considering wind turbine generators (WTG) with multi-state. Renewable energy resources such as wind, wave, solar, micro hydro, tidal and biomass etc. are becoming importance stage by stage because of considering effect of the environment. Wind energy is one of the most successful sources of renewable energy for the production of electrical energy. But, reliability evaluation of generating system with wind energy resources is a complex process. While the wind turbine generators can not modelled as two-state model as like as conventional generators, they should be modelled as multi-state model due to wind speed random variation. The methodology for obtaining reliability evaluation index of wind turbine generators is different from it of the conventional generators. A method for making outage capacity probability table of WTG for reliability is proposed in this paper. The detail process is presented using case study of simple system.

• 지구물리와물리탐사
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• 제25권4호
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• pp.214-216
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• 2022

분포형 음향 센싱(distributed acoustic sensing, DAS)은 광섬유 케이블을 수신기로 활용하는 탐사기술로서, 석유탐사 및 지진분야에서 모니터링 목적으로 활발히 적용되고 있다. 최근에는 지하매질의 물성정보를 도출하기 위해 분포형 음향 센싱 자료를 활용한 전파형역산 연구가 수행되고 있다. 분포형 음향 센싱은 광섬유 케이블 상의 두 점 간의 위상 차이에 의한 변형률을 측정하기 때문에, 기존 전파형역산 알고리즘에 직접 활용하기 어렵다. 분포형 음향 센싱 자료를 전파형역산에 활용하기 위해, 본 연구에서는 평면파 가정에서의 변형률과 수평입자속도의 관계식을 이용한 평면파 전파형역산 알고리즘을 개발하였다. 수치실험을 통해 평면파 가정에서의 변형률과 입자속도 간의 관계식이 성립함을 확인하였다. 다양한 탐사환경에서 분포형 음향 센싱 자료에 대한 전파형역산의 적용 가능성을 확인하기 위해, 육상 및 해저면 탄성파 탐사 환경을 모사한 4층 및 수정된 Marmousi-2 속도모델을 이용하였다. 제안된 전파형역산을 통해 육상 및 해저면 탄성파 탐사 환경하에서 P파 및 S파 속도구조를 정확히 도출할 수 있었다.

• 전기학회논문지
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• 제67권2호
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• pp.173-178
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• 2018

This study organizes scenarios on the power supply and demand plans considering the uncertainties and the portion of distributed energy resources. In analysing the scenarios, it estimates total electricity supply cost in the social aspect, natural gas demand and air pollutants emission including carbon dioxide. Also the analysis is performed to estimate the marginal cost of carbon dioxide reduction for the fuel switching from coal to liquified natural gas. In result, the social cost could be decreased by replacing some portion of renewable energy by LNG-based combined heat and power and delaying the construction of large base-load generators such as coal and nuclear plants. The marginal carbon dioxide reduction cost by fuel switching is in plausible range for fuel switching to be an option for carbon dioxide emission reduction when the social cost is considered.