• ETRI Journal
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• v.45 no.4
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• pp.650-665
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• 2023

A novel smart metering technique capable of anomaly detection was proposed for real-time home power management system. Smart meter data generated in real-time were obtained from 900 households of single apartments. To detect outliers and missing values in smart meter data, a deep learning model, the autoencoder, consisting of a graph convolutional network and bidirectional long short-term memory network, was applied to the smart metering technique. Power management based on the smart metering technique was executed by multi-objective optimization in the presence of a battery storage system and an electric vehicle. The results of the power management employing the proposed smart metering technique indicate a reduction in electricity cost and amount of power supplied by the grid compared to the results of power management without anomaly detection.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.05a
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• pp.274-277
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• 2012

In this paper, we proposes the design of laundry system for low power and smart management. The low power system configures the network with the RF communication module that turn on/off periodically, power consumption less than operating the module all the time without it toggles. The smart management is RFID Laundry Management System (LMS), in order to provide high services, low operation costs and better monitoring. The proposed system consists of RFID tag, wireless RFID hanger and MFC software. To compare with other existing RFID system, our system was developed as a web application. Therefore, customer can check their cloth status through web page or smartphone devices. RFID reader was designed on hanger to make our system enables reliable running effectively. Some results on the performance of an implementation are presented.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.26 no.2
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• pp.425-433
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• 2016

In smart grid, enhancement of efficiency and interoperability of electric power system is achieved through the connection with outer network, and this induces that power grid system is threatened increasingly, becomes the main target of cyber terrorism, and is sincerely required to design the secure power system. Although SSDLC(Secure System Development Life Cycle) is used for risk management from the design phase, traditional development life cycle is somewhat limited for satisfaction of information security indicator of power control system. Despite that power control system should reflect control entities of information security considering its own characteristics, validation elements are insufficient to apply into real tasks based on existing compliance. To make design of diagnostic model and assessment process for power control system possible and to give a direction for information security and present related indicator, we propose the new risk management framework of power control system which is applied operational security controls and standard architecture presented by IEC 62351 TC 57 with enterprise risk management framework.

• Proceedings of the KIEE Conference
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• 2001.11c
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• pp.264-267
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• 2001

In this paper, we are trying to think over the integration of domestic burner management system for thermal power plant. The detailed contents are the power plant system overview and the integration of system and the hardware explanation and changing the burner management system in the local equipments.

• Journal of Electrical Engineering and Technology
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• v.4 no.3
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• pp.337-345
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• 2009

Deregulation in power industry has made the reactive power ancillary service management a critical task to power system operators from both technical and economic perspectives. Reactive power management in power systems is a complex combinatorial optimization problem involving nonlinear functions with multiple local minima and nonlinear constraints. This paper proposes a practical market-based reactive power ancillary service management scheme to tackle the challenge. In this paper a new model for voltage security and reactive power management is presented. The proposed model minimizes reactive support cost as an economic aspect and insures the voltage security as a technical constraint. For modeling validation study, two optimization algorithm, a genetic algorithm (GA) and particle swarm optimization (PSO) method are used to solve the problem of optimum allocation of reactive power in power systems under open market environment and the results are compared. As a case study, the IEEE-30 bus power system is used. Results show that the algorithm is well competent for optimal allocation of reactive power under practical constraints and price based conditions.

• Journal of Electrical Engineering and Technology
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• v.12 no.2
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• pp.495-501
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• 2017

The introduction of smart grid, which is an innovative application of digital processing and communications to the power grid, might lead to more and more cyber threats originated from IT systems. In other words, The Energy Management System (EMS) and other communication networks interact with the power system on a real time basis, so it is important to understand the interaction between two layers to protect the power system from potential cyber threats. This paper aims to identify and clarify the cyber security risks and their interaction with the power system in Smart Grid. In this study, the optimal power flow (OPF) and Power Flow Tracing are used to assess the interaction between the EMS and the power system. Through OPF and Power Flow Tracing based analysis, the physical and economic impacts from potential cyber threats are assessed, and thereby the quantitative risks are measured in a monetary unit.

• Proceedings of the KIEE Conference
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• summer
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• pp.107-109
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• 2004

It is very important to operate a power system safely. An fault may causes the cascading outages in power system. Use of systematic, precise definitions related to the outages is essential for meaningful exchange of data. Moreover, it is necessary that specific instructions for reporting outages is developed. This paper presents the outage management for a power system. The outage managements of the many utilities are researched, which include the definition, classification, index and report of outage. Finally, the outage management standard is proposed, and the necessity and structure of KERC(Korean Electric Reliability Council) are presented

• Proceedings of the Korea Contents Association Conference
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• 2007.11a
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• pp.197-200
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• 2007

Dynamic power management reduces the power consumption of the system by switching system components into different power states, which have different power consumption levels. The main function of a power management is to decide when to perform state transitions. In this paper, a power management model based on stochastic processes is introduced. This model is developed using SRN (Stochastic Reward Nets), which has facilities to represent system queue and various modeling functions.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.32 no.1
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• pp.34-43
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• 2009

In this thesis, we explain developing processes of the power transmission system for lift truck. Conventional power transmission system had some problems such as spatial constraints or low speed and high torque problem. Because conventional power transmission system was mainly designed for high speed vehicles. In this paper we developed power shift drive axle specialized for $2.0{\sim}3.5$ ton lift truck. Innovative structure of transmission which is built in inside axle, enables to reduce system weight and size by 40% compared to the conventional power transmission system. Also, it is possible to do additional functions such as auto parking system and anti-roll back system.

• Fashion & Textile Research Journal
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• v.14 no.2
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• pp.230-241
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• 2012

The purpose of this study was to examine the effect of power sources of department store and fashion company, and salesperson's job consciousness on job satisfaction in the middle management system of department store. Questionnaire data from 193 salespeople in the middle management of department store were analyzed by reliability analysis, factor analysis, correlation analysis, multiple regression analysis, hierarchical regression analysis. The results of this study were as follows: First, coercive power, informational and expert power, and referent power of department store had significant effects on job satisfaction. The coercive power of department store had a negative influence on job satisfaction, while informational and expert power, and referent power of department store had a positive influence on job satisfaction. Second, referent power, expert power, reward power, coercive power of fashion company had a positive influence on job satisfaction. Third, referent power of department store had a greater influence on job satisfaction than other power sources. Fourth, job commitment and pride, prospect awareness had a positive influence on job satisfaction, while professional self-awareness had no effect on job satisfaction.