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전력수요관리 프로그램의 비용효과 심사모델 : An Approach from Nation-wide Perspective 국가적 관점에서의 접근
金正勳,張勝燦 弘益大學校 科學技術硏究所 1996 科學技術硏究論文集 Vol.7 No.2
An important purpose of screening DSM(Demand Side Management) programs is to determine which programs or technologies seem to be most worthy of further development, given the characteristics of the particular utility system. Complication found in screenig DSM technologies is the consideration of costs and benefits from several perspectives: the utility, society, participants, free riders and nonparticpants. In this paper, a nation-wide DSM screening model is presented using a rigorous spread sheet formulation on the financial basis and the concept of marginal costs considering all affected parties inside the nation is fully exploited. From the poroposed model, electrical demand can be estimated considering the price elasticity for demand and the customer choice of DSM programs. Cost-effectiveness on participants, free riders and nonparticipants can be respectively specified based on net benefit analysis, and it can provide a precise size description on the customer effects.
자기구축 최적 신경회로망에 관한 연구 : 단기 부하 예측을 중심으로
金正勳,金振竪,張勝燦 弘益大學校 科學技術硏究所 1995 科學技術硏究論文集 Vol.6 No.-
This paper presents a method of daily load forecasting using self-constructed ANNs which can automatically determine suitable sized hidden neurons in back propagation algorithm. The degree of forecasting accuracy in BP-ANNs largely depends upon the neuron number in hidden layer. In order to construct an optimal structure, We develop learning limit indices which can provide the constructed network with an information about learning states needed to determine the optimal hidden neurons overall ANN learning procedure. The proposed method is applied to daily load forecasting of a power system and the effectiveness is turned out.
물류기업의 지속가능경영 역량이 물류서비스 품질에 미치는 영향에 관한 연구
장승찬 ( Seung Chan Jang ),정호상 ( Ho Sang Jung ) 한국로지스틱스학회 2015 로지스틱스연구 Vol.23 No.3
제조기업을 포함한 화주기업들의 지속가능경영에 대한 관심이 높아지는 가운데, 물류기업의 지속가능경영 및 관련 역량에 대한 관심은 상대적으로 낮은 상황이다. 그러나 고객, 정부 등 이해관계자들의 지속가능경영에 대한 관심이 증가하는 가운데 물류기업의 지속가능경영 역량의 보유 유무 및 그 수준이 화주기업의 물류기업 선택에 영향을 줄 가능성이 높아지고 있다. 그러나 물류기업 입장에서는 한정된 인력, 재원을 보유한 상태에서 다양한 지속가능경영 역량을 모두 제고하는 것은 쉽지 않은 상황이다. 따라서 다양한 지속가능경영 역량들 중에서 화주기업이 느끼는 물류서비스 품질에 보다 많은 영향을 주는 역량들을 선별해 내고 집중 투자할 필요가 있다. 본 논문에서는 국내 주요 물류기업 한 곳을 선정하여 해당 기업과 관련 화주기업들을 대상으로 설문조사를 실시한 뒤, 물류기업의 지속가능경영 역량과 화주기업의 물류서비스 품질관련 요구사항 사이의 연관관계를 품질기능전개(QFD) 기법을 이용하여 분석한다. 연구결과는 향후 국내 물류기업들이 지속가능경영 역량 관련해서 우선 투자해야 할 분야를 선정할 때 도움이 될 것으로 기대된다. While shippers including manufacturing firms are having more interests in sustainable management, logistics firms seem to have much lower interests in sustainable management. Due to the continuous pressure of outside stakeholder such as customer and government, shippers might consider the capability of sustainable management of logistics firms when choosing their logistics partners. However, it is not easy for logistics firms to increase the overall capability of sustainable management dramatically because of the limited human and financial resources. Thus, the logistics firms need to focus on the several specific capabilities of sustainable management which can affect the quality of logistics service from the viewpoint of shippers. In this paper, we chose a representative Korean logistics firm and its shippers, and then conducted the quality function deployment (QFD) in order to investigate the relationship between the capability of sustainable management of the logistics firm and the quality of logistics service perceived by the shipper. The research results will be helpful for the Korean logistics firms to decide the relative importance of various capabilities of sustainable management.
초전도 저장장치의 신경회로망 모형 및 이를 이용한 안정도해석 앨고리즘 개발에 관한 연구
林裁尹,張勝燦,金正勳,姜亨求 弘益大學校 科學技術硏究所 1997 科學技術硏究論文集 Vol.8 No.-
Recently the need of energy storage device such as the pumped-storage has more and more increased in power system in order to aid a side reliability. But it has the problem of environment. As an alternative way of installing it, the Superconducting Magnetic Energy Storage(SMES) is widely study in a power system. Generally the SMES might divide in two class ; the storage use and the stability use. For use in storage SMES never has been construct, because of its expensive cost. Actively progressing the field of the study is for use in stability SMES, so as construction cost is relatively inexpensive. In order to application of the SMES in the power system, it has to be proven of stability efficiency through stability analysis. Stability analysis need modelling of the SMES. The existing model has been used only mathematical model that presented by first order delay time function, so that the SMES has fast response characteristic. But this kind of mathematical model of dynamic system have some problems when stability analysis requests more precision analysis. The problems are the complexity of equation, long calculus time and error of model-decision. For the purpose of settling this problems, this paper proposed an artificial neural network(ANN) methodology to make SMES modelling. ANN is presented using the input-output power characteristics of SMES. when it uses ANN which functions as a model-free system, network construction and parameters determination are carefully chosen to represent the complicated nonlinear input-output relation from the black-boxed SMES system. So far medelling of SMES by ANN never used stability analysis. In this paper, the proposed ANN-based SMES model is applied to analyze the power system stability and the simulation results provide the property of this approach.