• Title/Summary/Keyword: Grid Systems

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Measurement of Grounding Impedances in Large-scale Grounding Electrode Systems (대형접지전극시스템 접지임피던스의 측정)

  • Lee, Kyoung-Hoon;Choi, Jong-Hyuk;Choi, Young-Chul;Lee, Kyu-Sun;Lee, Bok-Hee
    • Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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    • 2008.10a
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    • pp.193-196
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    • 2008
  • In these days, large structures are constructed and bonded with ground grid Because the distances between mesh and auxiliary electrodes are not enough in downtown areas, it is very difficult to measure the ground resistance of large scale grounding electrode systems. Actually the auxiliary electrodes for test are installed in grounding grid. This paper present the experimental results of ground resistance and impedance according to the location of auxiliary electrode. As a result, we get much lower resistances and impedances than real values the auxiliary electrodes are placed in the ground grid. In case that the auxiliary electrodes are located in the ground grid the resistances are very low and reactance only is inductive component.

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A Novel Approach for the Unit Commitment with Vehicle-to-grid

  • Jin, Lei;Yang, Huan;Zhou, Yuying;Zhao, Rongxiang
    • Journal of international Conference on Electrical Machines and Systems
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    • v.2 no.3
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    • pp.367-374
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    • 2013
  • The electrical vehicles (EV) with vehicle-to-grid (V2G) capability can be used as loads, energy sources and energy storage in MicroGrid integrated with renewable energy sources. The output power of generators will be reallocated in the considering of V2G. An intelligent unit commitment (UC) with V2G for cost optimization is presented in this paper. A new constraint of UC with V2G is considered to satisfy daily use of EVs. A hybrid optimiza-tion algorithm combined Binary Particle Swarm Optimization (BPSO) with Lagrange Mul-tipliers Method (LMM) is proposed. The difference between results of UC with V2G and UC without V2G is presented.

Designing Test Methods for IT-Enabled Energy Storage System to Evaluate Energy Dynamics

  • Kim, Young Gon;Kim, Dong Hoon;Lee, Eun-Kyu
    • Journal of Information Processing Systems
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    • v.13 no.6
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    • pp.1487-1495
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    • 2017
  • With increasing interests in renewables, more consumers are installing an energy storage system (ESS) in their backyards, and thus, the ESS will play a critical role in the emerging smart grid. Due to mechanical properties, however its operational dynamics must be well understood before connecting the ESS to the smart grid (and eventually to an IT system). To this end, we investigate charging and discharging processes in detail. This paper, then, proposes methods for four type tests (state of charge test, conversion efficiency test, response time test, and ramp rate test) that can assess the dynamics of the ESS. The proposed methods can capture accurate delay values of mechanical processes in the ESS, and it is expected for those values to help design real-time communication systems in the smart grid involving the ESS.

Digital Evidence Acquisition Scheme using the Trusted Third Party in Smart Grid Infrastructure (스마트그리드 환경에서 공증기관을 이용한 디지털 증거 수집 기법)

  • Cho, Youngjun;Choi, Jaeduck;Kim, Sinkyu;Seo, Jungtaek
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.23 no.2
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    • pp.319-328
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    • 2013
  • Considerable number of major countries have put great efforts to leverage the efficiency of power consumption using Smart Grid in order to resolve the critical issues with drastical growing demands regarding electricity, the crisis of environmental pollution and so on. There has been increasing number of researches to construct Smart Grid in Korea as well. The threats of cyber terror attacks which might cause national crisises in terms of economy and society have been climbing up because of the fact that Smart Grid employs bi-directional communications embedding the cyber threats from existing/legacy communication networks. Consequently, it is required to build concrete response processes including investigation and analysis on cyber breaches into Smart Grid. However, the digital evidence acquisition techniques do not suffice to be deployed in Smart Grid systems despite of the fact that the techniques, against cyber breaches into well-known networks, have been studied in plenty of time. This work proposes a novel digital evidence acquisition scheme appropriate to Smart Grid systems through intensive investigation of the evidence acquisition requirements in Smart Grid and the historical evidence acquisition methods.

Blockchain for Securing Smart Grids

  • Aldabbagh, Ghadah;Bamasag, Omaimah;Almasari, Lola;Alsaidalani, Rabab;Redwan, Afnan;Alsaggaf, Amaal
    • International Journal of Computer Science & Network Security
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    • v.21 no.4
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    • pp.255-263
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    • 2021
  • Smart grid is a fully-automated, bi-directional, power transmission network based on the physical grid system, which combines sensor measurement, computer, information communication, and automatic control technology. Blockchain technology, with its security features, can be integrated with Smart Grids to provide secure and efficient power management and transmission. This paper dicusses the deployment of Blockchain technology in Smart Grid. It presents application areas and protocols in which blockchain can be applied to in securing smart grid. One application of each area is explored in detail, such as efficient peer-to-peer transaction, lower platform costs, faster processes, greater flexibility in power generation to transmission, distribution and power consumption in different energy storage systems, current barriers obstructing the implementation of blockchain applications with some level of maturity in financial services but concepts only in energy and other sectors. Wide range of energy applications suggesting a suitable blockchain architecture in smart grid operations, a sample block structure and the potential blockchain technicalities employed in it. Also, added with efficient data aggregation schemes based on the blockchain technology to overcome the challenges related to privacy and security in the smart grid. Later on, consensus algorithms and protocols are discussed. Monitoring of the usage and statistics of energy distribution systems that can also be used to remotely control energy flow to a particular area. Further, the discussion on the blockchain-based frameworks that helps in the diagnosis and maintenance of smart grid equipment. We have also discussed several commercial implementations of blockchain in the smart grid. Finally, various challenges have been discussed for integrating these technologies. Overall, it can be said at the present point in time that blockchain technology certainly shows a lot of potentials from a customer perspective too and should be further developed by market participants. The approaches seen thus far may have a disruptive effect in the future and might require additional regulatory intervention in an already tightly regulated energy market. If blockchains are to deliver benefits for consumers (whether as consumers or prosumers of energy), a strong focus on consumer issues will be needed.

Grid-connected Wind Turbine Generation System Modeling and Simulation Using MATLAB/Simulink (MATLAB/Simulink를 이용한 계통연계 풍력발전 시스템 모델링 및 시뮬레이션)

  • An, Hae-Joon;Kim, Hyun-Goo;Jang, Gil-Soo;Jang, Moon-Seok;Ko, Seok-Whan
    • 한국신재생에너지학회:학술대회논문집
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    • 2008.10a
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    • pp.321-323
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    • 2008
  • This study suggests a modeling of grid-connected wind turbine generation systems and performs simulation according to increase/decrease of real wind speed. MATLAB/Simulink implemented modeling of grid-connected wind turbine generation system. Terminal voltage, grid voltage, and active/reactive power shall be observed following the performance of simulation.

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The Development and Application of a Training Base for the Installation and Adjustment of Photovoltaic Power Generation Systems

  • Chuanqing, SUN
    • International Journal of Advanced Culture Technology
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    • v.4 no.1
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    • pp.37-50
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    • 2016
  • In recent years, the development and application of green energy resources have attracted more and more /$^*$ 'tention of people. The training room presented here is focused on the terminal applications of a photovoltaic power generation system (PPGS). Through introducing the composition and the general design principles, we aimed at leading the students to master the fundamental skills required for its design, installation and construction. The training room consists of numerous platforms, such as: PPGS, Wind and Photovoltaic Hybrid Power Generation Systems, Wind Power Generation Equipments, Simulative Grid-Connected Power Generation System, Electronic Technology Application of New Energy, etc. This enables the students to obtain their project and professional skills training via assembling, adjusting, maintaining and inspecting, etc., various component parts of the photovoltaic and new energy power generation systems, to further grasp the fundamental and related theoretical knowledge, and to further reinforce their practical and operational skills, so as to improve their problem-analyzing and problem-solving abilities.

Time-Efficient Trajectory Planning Algorithms for Multiple Mobile Robots in Nuclear/Chemical Reconnaissance System (화방 정찰 체계에서의 다수의 이동 로봇을 위한 시간 효율적인 경로 계획 알고리즘에 대한 연구)

  • Kim, Jae-Sung;Kim, Byung-Kook
    • Journal of Institute of Control, Robotics and Systems
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    • v.15 no.10
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    • pp.1047-1055
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    • 2009
  • Since nuclear and chemical materials could damage people and disturb battlefield missions in a wide region, nuclear/chemical reconnaissance systems utilizing multiple mobile robots are highly desirable for rapid and safe reconnaissance. In this paper, we design a nuclear/chemical reconnaissance system including mobile robots. Also we propose time-efficient trajectory planning algorithms using grid coverage and contour finding methods for reconnaissance operation. For grid coverage, we performed in analysis on time consumption for various trajectory patterns generated by straight lines and arcs. We proposed BCF (Bounded Contour Finding) and BCFEP (Bounded Contour Finding with Ellipse Prediction) algorithms for contour finding. With these grid coverage and contour finding algorithms, we suggest trajectory planning algorithms for single, two or four mobile robots. Various simulations reveal that the proposed algorithms improve time-efficiency in nuclear/chemical reconnaissance missions in the given area. Also we conduct basic experiments using a commercial mobile robot and verify the time efficiency of the proposed contour finding algorithms.

Flyback-type Snubber of High Efficiency for 10kV IGCT in 7MW Wind Turbine Systems

  • Shirmohammadi, Siamak;Suh, Yongsug
    • Proceedings of the KIPE Conference
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    • 2015.07a
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    • pp.359-360
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    • 2015
  • 10kV IGCT has been recently developed and has the potential to push wind turbine systems to higher power and voltage rating. Converters employing IGCTs need snubber and OVP circuit to limit the rate of rise of current and peak over voltage across IGCT during turn on and off state respectively. The conventional RCD snubber which is used in such power converter dissipates a significant amount of power. In order to reduce the amount of energy lost by conventional RCD snubber, this paper proposes an isolated inductor snubber circuit that not only meets all of the IGCTs characteristics during on and off-state but also significantly saves the power loss. Loss analysis of conventional di/dt snubber and OVP circuit is performed for the 3-level NPC type back-to-back VSC supplied from grid voltage of 6.9kV. In comparison with the conventional snubber, isolated inductor snubber has a fewer number of components and improved efficiency leading to a reliable and efficient wind turbine systems.

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Study on Efficient Impulsive Noise Mitigation for Power Line Communication

  • Seo, Sung-Il
    • International journal of advanced smart convergence
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    • v.8 no.2
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    • pp.199-203
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    • 2019
  • In this paper, we propose the efficient impulsive noise mitigation scheme for power line communication (PLC) systems in smart grid applications. The proposed scheme estimates the channel impulsive noise information of receiver by applying machine learning. Then, the estimated impulsive noise is updated in data base. In the modulator, the impulsive noise which reduces the PLC performance is effectively mitigated through proposed technique. As an impulsive noise model, Middleton Class A interference model was employed. The performance is evaluated in terms of bit error rate (BER). From the simulation results, it is confirmed that the proposed scheme has better BER performance compared to the conventional model. As a result, the proposed noise mitigation improves the signal quality of PLC systems by effectively removing the channel noise. The results of the paper can be applied to PLC systems for smart grid.