• Journal of Electrical Engineering and Technology
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• 제10권3호
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• pp.820-831
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• 2015

In a deregulated electricity market, congestion of the transmission lines is a major problem the independent system operator (ISO) would face. Rescheduling of generators is one of the most practiced techniques to alleviate the congestion. However, not all generators in the system operate deterministically and independently, especially wind power generators (WTGs). Therefore, a novel optimal rescheduling model for congestion management that accounts for the uncertain and correlated power sources and loads is proposed. A probabilistic power flow (PPF) model based on 2m+1 point estimate method (PEM) is used to simulate the performance of uncertain and correlated input random variables. In addition, the impact of direct electricity purchase contracts on the congestion management has also been studied. This paper uses artificial bee colony (ABC) algorithm to solve the complex optimization problem. The proposed algorithm is tested on modified IEEE 30-bus system and IEEE 57-bus system to demonstrate the impacts of the uncertainties and correlations of the input random variables and the direct electricity purchase contracts on the congestion management. Both pool and nodal pricing model are also discussed.

• 한국도로학회논문집
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• 제16권4호
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• pp.127-134
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• 2014

PURPOSES : To operate more efficient traffic management system, it is utmost important to detect the change in congestion level on a freeway segment rapidly and reliably. This study aims to develop classification method of congestion change type. METHODS: This research proposes two classification methods to capture the change of the congestion level on freeway segments using the dedicated short range communication (DSRC) data and the vehicle detection system (VDS) data. For developing the classification methods, the decision tree models were employed in which the independent variable is the change in congestion level and the covariates are the DSRC and VDS data collected from the freeway segments in Korea. RESULTS : The comparison results show that the decision tree model with DSRC data are better than the decision tree model with VDS data. Specifically, the decision tree model using DSRC data with better fits show approximately 95% accuracies. CONCLUSIONS : It is expected that the congestion change type classified using the decision tree models could play an important role in future freeway traffic management strategy.

• Journal of Electrical Engineering and Technology
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• 제7권2호
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• pp.141-150
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• 2012

The present study examines an efficient congestion management system compatible with the evolving environment. The key is to build an information model shared and exchanged for marketbased solutions to alleviate congestion. Traditional methods for congestion management can be classified into two categories, i.e., the centralized scheme and the decentralized scheme, depending on the extent to which the independent system operator (ISO) is involved in market participants' (MPs) activities. Although the centralized scheme is more appropriate for providing reliable system operation and relieving congestion in near real-time, the decentralized scheme is preferred for supporting efficient market operation. The minimum set of information between the ISO and MPs for decentralized scheme is identified: i) congestion-based zone, ii) Power Transfer Distribution Factors, and iii) transmission congestion cost. The mathematical modeling of the proposed information is expressed, considering its process of making effective use of information. Numerical analysis is conducted to demonstrate both cost minimization from the MP perspective and the reliability enhancement from the ISO perspective based on the proposed information exchange scheme.

• Journal of Power Electronics
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• 제11권1호
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• pp.90-96
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• 2011

Congestion management is one of the most challenging aspects in the recently deregulated electricity markets. FACTS devices have been shown to be an efficient alternative to control the flow of power in lines, resulting in increased loadability, lower system loss and a reduced cost of production. In this paper, the application of a static series synchronous compensator (SSSC) for the purpose of congestion management of power systems has been studied. A sensitivity-based analysis method is utilized for effective determination of the SSSC location in an electricity market. The method is topology based and it is independent of the system operation point. A power injection p-model is developed for the SSSC in this study. Numerical results based on the modified IEEE 14 bus system with/without the SSSC demonstrate the feasibility as well as the effectiveness of the SSSC for congestion management in a network. The results obtained when using the SSSC to improve system transfer capability and congestion management is encouraging.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회/대한산업공학회 2003년도 춘계공동학술대회
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• pp.417-424
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• 2003

In this paper, we introduce and analyze a feedback control model of TCP/AQM dynamics. Then, we propose the Pro-active Queue Management (PAQM) mechanism, which can provide proactive congestion avoidance and control using an adaptive congestion indicator and a control function for wide range of traffic environments. The PAQM stabilizes the queue length around a desired level while giving smooth and low packet loss rates independent of the traffic load level under a wide range of traffic environment. The PAQM outperforms other AQM algorithms such as Random Early Detection (RED) [1] and PI-controller [2]

• 대한전기학회:학술대회논문집
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• 대한전기학회 2003년도 하계학술대회 논문집 A
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• pp.670-672
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• 2003

The market participants make plans of bidding and transaction strategies to maximize their own profits in competitive electricity market. Also, It is concerned with transmission congestion in power market. Two methods are generally used for congestion management;nodal pricing and uplift. The participants will have different strategies for their profits in the two methods. This paper analyzes their equilibrium strategies by using the supply function model and congestion methods.

• 한국ITS학회 논문지
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• 제9권6호
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• pp.63-82
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• 2010

지속적인 도로 건설에도 불구하고 자동차의 급격한 증가와 주변 택지개발로 인해 고속도로 상습지정체가 나날이 심화되어 교통관리의 필요성과 운전자에 대한 교통정보제공 요구가 크게 부각되고 있다. 고속도로의 상습지정체를 해소하기 위해서는 혼잡의 원인과 유형, 특성에 따라 최적의 혼잡관리기법을 도출하고 사전 시행효과가 검토되어야하나, 기존의 교통분석 프로그램들은 국내 도로 및 교통조건, 교통류특성 등에 대한 반영 및 기 구축된 교통관리시스템(FTMS)과의 연계가 미흡하여, 효율적으로 고속도로 교통분석을 수행하기에는 시간적, 비용적으로 많은 제약이 따른다. 따라서 본 연구에서는 고속도로 교통관리시스템의 수집자료에 기반하여 체계적이고 과학적인 혼잡관리방법론을 적용하기 위해 한국형 교통분석 모형 및 프로그램(ExTRAM)을 개발하였다. VISSIM과의 비교결과, 정체에 대한 모사와 대안평가에서 ExTRAM의 결과가 다소 나은 것으로 평가되었다. ExTRAM에 대한 보다 엄밀한 검증을 위해 오산~수원 구간의 15분 집계간격의 평균통행시간(TCS데이터)을 이용한 한 달 동안의 장기간 테스트를 수행한 결과, 평균통행시간 오차가 2.48분이었고, 최대 및 최소 오차가 각각 15.02분 및 0.03분으로 나타나 ExTRAM의 교통분석 결과가 일정 수준의 정확도를 보이는 것을 확인할 수 있었다.

• 한국경영과학회지
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• 제34권1호
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• pp.61-83
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• 2009

This study developed a variable demand traffic assignment model by stable dynamics. Stable dynamics, suggested by Nesterov and do Palma[19], is a new model which describes and provides a stable state of congestion in urban transportation networks. In comparison with the user equilibrium model, which is based on the arc travel time function in analyzing transportation networks, stable dynamics requires few parameters and is coincident with intuitions and observations on congestion. It is therefore expected to be a useful analysis tool for transportation planners. In this study, we generalize the stable dynamics into the model with variable demands. We suggest a three stage optimization model. In the first stage, we introduce critical travel times and dummy links and determine variable demands and link flows by applying an optimization problem to an extended network with the dummy links. Then we determine link travel times and path flows in the following stages. We present a numerical example of the application of the model to a given network.

• Asia pacific journal of information systems
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• 제26권3호
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• pp.427-448
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• 2016

The stochastic phenomena of traffic network condition, such as traffic speed and density, are affected not only by exogenous traffic control but also by endogenous changes in service time during congestion. In this paper, we propose a mixed M/G/1 queuing model by introducing a condition-varying parameter of traffic congestion to reflect structural changes in the traffic network. We also develop congestion indices to evaluate network efficiency in terms of traffic flow and economic cost in traffic operating system using structure-changing queuing model, and perform scenario analysis according to various traffic network improvement policies. Empirical analysis using Korean highway traffic operating system shows that our suggested model better captures structural changes in the traffic queue. The scenario analysis also shows that occasional reversible lane operation during peak times can be more efficient and feasible than regular lane extension in Korea.

• 한국산학기술학회논문지
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• 제16권5호
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• pp.3610-3618
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• 2015

도시철도 차량 및 역사 내 혼잡도가 최고 220%를 나타내고 있다. 특히 방향별 동선의 충돌로 인해 보행자의 이동저항이 급속히 증가해 통행시간 증가, 안전사고 발생 등 도시철도 역사의 이용효율을 저해하는 요인으로 작용하고 있다. 이러한 문제를 해결하고자 본 논문에서 도시철도 이용객의 역사 내 이동속도 및 쾌적성 향상을 위한 혼잡관리 모형을 이용한 도시철도 이용객 동선유도시스템을 제안한다. 이를 위하여 반복혼잡/비반복혼잡을 고려할 수 있는 혼잡관리 모형을 구성하셨고, 미들웨어시스템, 제어시스템, 동선유도구동시스템으로 구성된 동선유도시스템의 기본설계를 수행하였다. 동선유도시스템은 외부데이터를 알고리즘에서 사용가능한 형태로 변경하는 미들웨어시스템 단계와 실시간 데이터 및 과거 데이터를 통해 혼잡관리 알고리즘을 수행하는 단계와, 산정된 혼잡관리 알고리즘을 기반으로 LED표시장치, 방향유도 표시기, 이동식 가이드레일 등을 제어하는 제어시스템의 단계와 제어시스템의 정보를 기반으로 LED표시장치, 방향유도 표시기, 이동식 가이드레일 등의 장치를 실제로 구동하는 동선유도 구동장치 단계와 이용자가 실제로 접하는 LED표시장치, 방향유도 표시기, 이동식 가이드레일 등의 동선유도장치로 이루어진다. 향후 본 기본설계를 기반으로 시스템의 상세설계를 통해 도시철도 역사의 구조 및 지점에 따른 다양한 동선유도장치의 시작품을 제작하고 이를 제어할 수 있는 동선유도제어 모듈을 개발할 예정이다.