• Title/Summary/Keyword: Power SmartGrid

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An Efficient AMI Simulator Design adapted in Smart Grid (스마트그리드에서의 효율적인 AMI 구현을 위한 통합 시뮬레이터 설계)

  • Yang, Il-Kwon;Choi, Seung-Hwan;Lee, Sang-Ho
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.62 no.10
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    • pp.1368-1375
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    • 2013
  • The Smart Grid, which can monitor or diagnose the power grid in real time to operate efficiently, has been pushed ahead systematically as one of alternatives to solve these issues by combining the advanced Information Communication Technology and the electrical network. Hence, the electric company which introduces smart grid technology can read remotely the electrical meter readings by means of two-way communication between the meter and the central system. This enabled the customer and the utility to take part in reasonable electrical energy utilization. AMI became one of the core foundations in realizing the Smart Grid. It is hard to test the entire process of AMI system before the full deployment because it covers the broad objects from the customer to the utility operation system and requires mass data handling and management. Therefore, we design an efficient AMI network model and a simulator for performance evaluation required to simulate the network model similar to the real environment. This tool supports to evaluate the efficiency of the AMI network equipments and deployment. Additionally, it estimates the appropriate number of deployments and the proper capabilities.

Security Analysis of AMI Using ACT (ACT를 이용한 AMI 보안 분석)

  • Wi, Miseon;Kim, Dong Seong;Park, Jong Sou
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.23 no.4
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    • pp.639-653
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    • 2013
  • Smart grid is a network of computers and power infrastructure that monitor and manage energy usage efficiently. Recently, the smart grid demonstration projects around the world, including the United States, Europe, Japan, and the technology being developed. The protection of the many components of the grid against cyber-threats has always been critical, but the recent Smart grid has been threatened by a variety of cyber and physical attacks. We model and analyze advanced metering infrastructure(AMI) in smart grid. Using attack countermeasure tree(ACT) we show qualitative and probabilistic security analysis of AMI. We implement using SHARPE(Symbolic Hierarchical Automated Reliability and Performance Evaluator) tool and calculate probability, ROA, ROI, Structure Importance, Birnbaum Importance.

Magnetic Design of Flyback Type Snubber for IGCT Applications

  • Shirmohammadi, Siamak;Lama, Amreena;Suh, Yongsug
    • Proceedings of the KIPE Conference
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    • 2016.07a
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    • pp.367-368
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    • 2016
  • 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 current's rising 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 flyback type snubber comprising two coils wound on a magnetic core. The flyback snubber not only meets all of the IGCTs characteristics during on and off-state but also significantly saves the power loss. Modern magnetic model using permeance-capacitance analogy leads to more accurate loss analysis of flyback type di/dt snubber circuit in 3-level NPC type back-to-back VSC. In turns, the comparison between conventional and flyback type snubber yield the effectiveness of proposed snubber in wind turbine systems.

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Effective Capacity Calculation of the Electrical Energy Storage providing the Primary Frequency Control Service based on the Contribution to the Frequency Response of Power Systems (전력계통 주파수응답 기여도 기반의 전기저장장치 주파수추종서비스 유효용량 산정)

  • Lim, Hyeon Ok;Choi, Woo Yeong;Gwon, Han Na;Kook, Kyung Soo
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.66 no.11
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    • pp.1561-1567
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    • 2017
  • This paper calculates the effective capacity of EES providing the primary frequency control service based on its contribution to the frequency response of the power system. The amount of governor response from conventional generators which can be replaced by the primary frequency control from EES keeping the frequency response of the power system is defined as the effective capacity. The proposed method for calculating the effective capacity of EES is verified through case studies employing Korean power system. Furthermore, the application of the effective capacity of EES to power system operation is also discussed.

A study on Smart Water Grid through IT Convergence (IT 융합을 통한 스마트 워터그리드 추진방안에 대한 연구)

  • Kim, Dong-Hwan;Park, Kyung-Hye;Min, Kyung-Jin
    • Journal of Digital Convergence
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    • v.11 no.7
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    • pp.27-40
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    • 2013
  • Due to global population growth and urbanization, water problems are expected to increase in severity. In response to this expectation, Smart Water Management that refers to implement intelligent water information systems by IT convergence is considered a new paradigm. In this paper, we try to study the Smart Water policy, especially Smart Water Grid, and technology development trends in major countries. On the basis of results from the comparative analysis with Smart Grid in power sector, we evaluate political. legal, economic and technological feasibility related with the Smart Water Grid. In the conclusion, we suggest some strategic recommendations for the promotion of the Smart Water Grid.

A Study on Design of Home Energy Management System to Induce Price Responsive Demand Response to Real Time Pricing of Smart Grid (스마트그리드 실시간요금과 연동되는 수요반응을 유도하기 위한 HEMS 설계에 관한 연구)

  • Kang, Dong-Joo;Park, Sun-Joo;Choi, Soo-Jung;Han, Seong-Jae
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.25 no.11
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    • pp.39-49
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    • 2011
  • Smart Grid has two main objectives on both supply and demand aspects which are to distribute the renewable energy sources on supply side and to develop realtime price responses on demand side. Renewable energy does not consume fossil fuels, therefore it improves the eco-friendliness and saves the cost of power system operation at the same time. Demand response increases the flexibility of the power system by mitigating the fluctuation from renewable energies, and reduces the capacity investment cost by shedding the peak load to off-peak periods. Currently Smart Grid technologies mainly focus on energy monitoring and display services but it has been proved that enabling technologies can induce the higher demand responses through many pilot projects in USA. On this context, this paper provides a price responsive algorithm for HEMS (home energy management system) on the real time pricing environment. This paper identifies the demand response as a core function of HEMS and classifies the demand into 3 categories of fixed, transferable, and realtime responsive loads which are coordinated and operated for the utility maximization or cost minimization with the optimal usage combination of three kinds of demand.

Detection and Trust Evaluation of the SGN Malicious node

  • Al Yahmadi, Faisal;Ahmed, Muhammad R
    • International Journal of Computer Science & Network Security
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    • v.21 no.6
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    • pp.89-100
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    • 2021
  • Smart Grid Network (SGN) is a next generation electrical power network which digitizes the power distribution grid and achieves smart, efficient, safe and secure operations of the electricity. The backbone of the SGN is information communication technology that enables the SGN to get full control of network station monitoring and analysis. In any network where communication is involved security is essential. It has been observed from several recent incidents that an adversary causes an interruption to the operation of the networks which lead to the electricity theft. In order to reduce the number of electricity theft cases, companies need to develop preventive and protective methods to minimize the losses from this issue. In this paper, we have introduced a machine learning based SVM method that detects malicious nodes in a smart grid network. The algorithm collects data (electricity consumption/electric bill) from the nodes and compares it with previously obtained data. Support Vector Machine (SVM) classifies nodes into Normal or malicious nodes giving the statues of 1 for normal nodes and status of -1 for malicious -abnormal-nodes. Once the malicious nodes have been detected, we have done a trust evaluation based on the nodes history and recorded data. In the simulation, we have observed that our detection rate is almost 98% where the false alarm rate is only 2%. Moreover, a Trust value of 50 was achieved. As a future work, countermeasures based on the trust value will be developed to solve the problem remotely.

A Study on De-Identification of Metering Data for Smart Grid Personal Security in Cloud Environment

  • Lee, Donghyeok;Park, Namje
    • Journal of Multimedia Information System
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    • v.4 no.4
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    • pp.263-270
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    • 2017
  • Various security threats exist in the smart grid environment due to the fact that information and communication technology are grafted onto an existing power grid. In particular, smart metering data exposes a variety of information such as users' life patterns and devices in use, and thereby serious infringement on personal information may occur. Therefore, we are in a situation where a de-identification algorithm suitable for metering data is required. Hence, this paper proposes a new de-identification method for metering data. The proposed method processes time information and numerical information as de-identification data, respectively, so that pattern information cannot be analyzed by the data. In addition, such a method has an advantage that a query such as a direct range search and aggregation processing in a database can be performed even in a de-identified state for statistical processing and availability.

Renewable Source and Hybrid System Modeling for Smart Grid (스마트그리드를 위한 신재생에너지원과 하이브리드시스템 모델링)

  • Cho, Jae-Hoon;Hong, Won-Pyo;Chun, Myung-Geun
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.24 no.12
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    • pp.109-121
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    • 2010
  • Recently, smart grid for solving energy problems have been receiving growing attention. Also, renewable energy sources such as photovoltaic and fuel cell as future energy for realizing smart grid have been widely studied. On the other hand, hybrid structures have been proposed since the output power of these renewable energy sources is usually dependent on weather conditions. This paper proposes a hybrid system involving a proper photovoltaic in the hybrid system, Polymer Elecrolyte Membrane Fuel Cell with water electrolyzer and ultracapacitor. The results of simulation and output of the proposed model are established and analysed by Matlab/Simulink and SimPowerSystems.

An Analysis on Power Demand Reduction Effects of Demand Response Systems in the Smart Grid Environment in Korea

  • Won, Jong-Ryul;Song, Kyung-Bin
    • Journal of Electrical Engineering and Technology
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    • v.8 no.6
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    • pp.1296-1304
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    • 2013
  • This study performed an analysis on power demand reduction effects exhibited by demand response programs, which are advanced from traditional demand-side management programs, in the smart grid environment. The target demand response systems for the analysis included incentive-based load control systems (2 month-ahead demand control system, 1~5 days ahead demand control system, and demand bidding system), which are currently implemented in Korea, and price-based demand response systems (mainly critical peak pricing system or real-time pricing system, currently not implemented, but representative demand response systems). Firstly, the status of the above systems at home and abroad was briefly examined. Next, energy saving effects and peak demand reduction effects of implementing the critical peak or real-time pricing systems, which are price-based demand response systems, and the existing incentive-based load control systems were estimated.