• 대한전기학회:학술대회논문집
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• 대한전기학회 2005년도 제36회 하계학술대회 논문집 A
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• pp.483-485
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• 2005

In 2003, there was a wide-area blackout in the United States and Canada. More than fifty million people underwent power failure and the estimated financial loss was about four billion dollars. By such wide-area blackouts, the interest in voltage stability has increased gradually. In order to maintain the voltage stability, the preventive control is essential for a contingency. In this paper, a proper preventive control is determined for defined severe contingencies. Among the preventive control methods (generation rescheduling, load curtailment, tap adjusting, injecting the shunt capacitor, and so on.), this paper presents the injection of shunt capacitors by the sensitivity analysis of the voltage stability assessment for preventive controls. The 2006-2010 KEPCO summer peak system is used in case studies.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2015년도 제46회 하계학술대회
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• pp.147-148
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• 2015

현재 발전기 스케줄링은 제한된 발전 자원, 에너지 수요 및 연료비용 증가, 그리고 불규칙적인 부하 등 최적리스케줄링에 있어 많은 문제들을 해결하기 위한 새로운 변화가 요구된다. 본 논문에서는 Multi-Terminal Voltage Source Converter High Voltage Direct Current (VSC-MTDC)와 Bettary Energy Storage System (BESS)가 결합된 Hybrid Integrated system (HIS)를 통해 발전기 리스케줄링을 위한 최적화 기법을 제안한다. 최적 발전기 리스케줄링을 위한 HIS 퍼포먼스를 위해 VSC station limit과 충 방전을 기반으로 하는 최적화 과정을 수행한다. 최적조류계산 문제는 VSC-MTDC 시스템과 BESS룰 고려하여 정식화되며, 충 방전 전략은 24시간 수요 정보를 사용하여 발전기 리스케줄링을 위한 하이브리드 통합 시스템의 최적알고리즘을 보여준다. 제안된 최적 리스케줄링 기법을 수정된 IEEE 14 모선에 적용하여 효율성을 입증하고자 한다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1999년도 추계학술대회 논문집 학회본부 A
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• pp.200-202
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• 1999

This paper describes the optimization problem of real power rescheduling and present an algorithm based linear programming for studying the load-shedding and generation reallocation problem when a portion of the transmission system is disabled and at power flow solution cannot be obtained for the overload of some lines. And in case initial is infeasible, solution could not be converge. So this paper gives an algorithm being lie infeasible quantities within limit. The paper describes a LP-based algorithm to obtain the solution in power dispatch related to overload situations in power system and it is easily extened under various objective. The optimization procedures is based in linear programming with bounded variables and use the multi-segment curve method for a objective function and the validity of the algorithm is verified with two examples : 10-bus system and 57-bus system.

• 한국경영과학회지
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• 제27권2호
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• pp.97-109
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• 2002

Manufacturing environments in the real world are subject to many sources of change and uncertainty, such as new job releases, job cancellations, a chance in the processing time or start time of some operation. Thus, the realistic scheduling method should Properly reflect these dynamic environment. Based on the release times of jobs, JSSP (Job Shoe Scheduling Problem) can be classified as static and dynamic scheduling problem. In this research, we mainly consider the dynamic JSSP with continually arriving jobs. The goal of this research is to develop an efficient scheduling method based on GA (Genetic Algorithm) to address dynamic JSSP. we designed scheduling method based on SGA (Sing1e Genetic Algorithm) and PGA (Parallel Genetic Algorithm) The scheduling method based on GA is extended to address dynamic JSSP. Then, This algorithms are tested for scheduling and rescheduling in dynamic JSSP. The results is compared with dispatching rule. In comparison to dispatching rule, the GA approach produces better scheduling performance.

• 한국산업정보학회:학술대회논문집
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• 한국산업정보학회 2008년도 추계 공동 국제학술대회
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• pp.48-53
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• 2008

The information technology, in the digital economy era, does a very important role not only for the country's administrative management innovation but also for the business and for the everyday life. Specifically, the e-business for the company or organization is defined as "using the Internet and IT, rescheduling of business process management activities to increase productivity and efficiency and to create new business opportunities." Thanks to the Korea's recent efforts, overall level of informatization and digitalization is able to receive high praise. But the e-business readiness (e-readiness) level is still expected a lot of room for improvement. In this paper, I try to analyze the informatization level of Korea's by the EIU's e-business readiness index and IT industry competitiveness index, to prepare a full-scale e-business era of global competitiveness through any preparation that could do to improve the situation from the analysis of statistical data.

• 한국통신학회논문지
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• 제25권12A호
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• pp.1852-1860
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• 2000

본 논문은 IS-95를 기반으로 하는 CDMA(Code Division Multiple Access) 탐색자의 저전력 설계방법에 대하여 기술하였다. 탐색자는 역확산, 동기 누적단, 에너지 계산단, 2개의 비교단과 비동기 누적단으로 구성되어 있다. 제안된 방법은 Rescheduling과 Strength Reduction을 이용한 방법, Precomputation을 이용한 방법, 그리고, Synchronous 누적기를 이용한 세 가지 방법이다. VHDL을 이용하여 설계되었고, SYNOPSYSTEM에서 시뮬레이션을 수행하여 그 기능을 검증하였고, 합성하였다. 또한 SYNOPSYSTEM의 Design Power를 사용하여 소모 전력을 측정하였다. 측정결과 기존의 설계방법과 비교해서 최대 67%의 전력 감쇠와 41%의 면적 감소 효과를 얻었다.

• 대한전기학회논문지:전력기술부문A
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• 제50권10호
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• pp.464-471
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• 2001

Power utilities must satisfy both supplying high quality power economically and reducing EMF levels. In general, in order to reduce EMF levels from transmission line, it is effective to install shielding wires, configure wires with minimal space or modify structure of other conductors, etc., but these techniques require much cost and time. To some extent, the EMF levels associated with critical transmission lines can be reduced by redistributing the scheduled power generation, since it can change the power flows. There this technique can be readily applied without modifying other structures. This paper considers the OPF(Optimal Power Flow) with the EMF constraints in transmission lines to determine the power generation redistributions and demonstrates numerically the effectiveness of the approach.

• 한국IT서비스학회:학술대회논문집
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• 한국IT서비스학회 2003년도 춘계학술대회
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• pp.577-583
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• 2003

Due to the widespread availability of the internet, large-scale and dynamic distributed projects in industry are becoming popular. We present a distributed, collaborative, and adaptive control approach for decentralized multiple projects, which is one of representative project environments in modern e-enterprises. In this paper we deal with short term scheduling and rescheduling of resources, which are shared by multiple projects. We in specific, address the dynamic nature of the situation. We model this as a dynamic economy, where the multiple local markets are established and cleared over time trading resource time slots(goods). Local markets are modeled using a combinatorial auction mechanism. Due to the dynamic and distributed nature of economy, through our approach we can achieve higher levels of flexibility, scalability and adaptability.

• 산업경영시스템학회지
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• 제25권3호
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• pp.41-49
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• 2002

In the study, for the practical approaches of job shop scheduling, we propose the new dispatching rules of job shop scheduling in order to complement the practical applications in the existing researches. The assumed situation for the practical approaches considers the following; relaxation of assumption for capacity constraint by machine flexibility, the addition of the common use of jig and fixture, unbalanced machine workloads and duedate tightness, and produces fast rescheduling that reflects unexpected situations. The performance of the new dispatching rules is compared and analyzed with the existing methods through the computer experiments in the assumed conditions. The results can be useful to improving a field application of the job shop scheduling.

• Journal of Communications and Networks
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• 제18권3호
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• pp.484-492
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• 2016

Smart grid (SG) technology is now elevating the conventional power grid system to one that functions more cooperatively, responsively, and economically. When applied in an SG the demand side management (DSM) technique can improve its reliability by dynamically changing electricity consumption or rescheduling it. In this paper, we propose a new SG scheduling scheme that uses the DSM technique. To achieve effective SG management, we adopt a mixed pricing strategy based on the Rubinstein-Stahl bargaining game and a repeated game model. The proposed game-based pricing strategy provides energy routing for effective energy sharing and allows consumers to make informed decisions regarding their power consumption. Our approach can encourage consumers to schedule their power consumption profiles independently while minimizing their payment and the peak-to-average ratio (PAR). Through a simulation study, it is demonstrated that the proposed scheme can obtain a better performance than other existing schemes in terms of power consumption, price, average payment, etc.