• 전기학회논문지
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• 제57권1호
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• pp.20-24
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• 2008

A bid-based pool(BBP) model is representative of energy market structure in a number of restructured electricity markets. Supply function equilibrium(SFE) models of interaction better match what is explicitly required in the bid formats of typical BBP markets. Many of the results in the SFE literature involve restrictive parametrization of the bid cost functions. In the SFE models, two parameters, intercept and slope, are available for strategic bidding. This paper addresses the realistic competition format that players can choose both parameters arbitrarily. In a fixed demand function, equilibrium conditions for generation company's profit maximization have a degree of freedom, which induces multi-equilibrium. So it is hard to choose a convergent equilibrium. However, consideration of stochastic demand function makes the equilibrium conditions independent each other based on the amount of variance of stochastic demand function. This variance provides the bidding players with incentives to change the slope parameter from an equilibrium for a fixed demand function until the slope parameter equilibrium.

• Management Science and Financial Engineering
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• 제11권3호
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• pp.125-136
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• 2005

As the importance of time-based competition is increasing, information systems for supporting the immediate decision making is strongly required. Especially high -tech product firms are under extreme pressure of rapid response to the demand side due to relatively short life cycle of the product. Therefore, the objective of our research is proposing a framework of estimating demand curve based on e-auction data, which is extremely easy to access and well reflect the limited demand curve in that channel. Firstly, we identify the advantages of using e-auction data for full demand curve estimation and then verify it using Agent-Eased-Modeling and Tobin's censored regression model.

• 전기학회논문지P
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• 제63권4호
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• pp.307-311
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• 2014

Due to the increasing of power consumption, it is difficult to construct accurate prediction model for daily peak power demand. It is very important work to know power demand in next day for manager and control power system. In this research, we develop a daily peak power demand prediction method considering of characteristics of day of week. The proposed method is composed of liner model based on AR model and nonlinear model based on ELM to resolve the limitation of a single model. Using data sets between 2006 and 2010 in Korea, the proposed method has been intensively tested. As the prediction results, we confirm that the proposed method makes it possible to effective estimate daily peak power demand than conventional methods.

• Journal of Information Technology Applications and Management
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• 제24권2호
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• pp.81-96
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• 2017

Forecasting long-term mobile service demand is inevitable to establish an effective frequency management policy despite the lack of reliability of forecast results. The statistical forecasting method has limitations in analyzing how the forecasting result changes when the scenario for various drivers such as consumer usage pattern or market structure for mobile communication service is changed. In this study, we propose a dynamic model of the mobile communication service market using system dynamics technique and forecast the future demand for long-term mobile communication subscriber based on the dynamic model, and also experiment on the change pattern of subscriber demand under various scenarios.

• 전기학회논문지
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• 제65권7호
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• pp.1128-1134
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• 2016

Demand response provides customer load reductions based on high market prices or system reliability conditions. One type of demand response, price-based program, induces customers to respond to changes in product rates. However, there are large-scale general and industrial customers that have difficulty changing their energy consumption patterns, even with rate changes, due to their electricity demands being commercial and industrial. This study proposes an in-house pricing model for large-scale general and industrial customers, particularly those with multiple business facilities, for self-regulating demand-side management and cost reduction. The in-house pricing model charges higher rates to customers with lower load factors by employing peak to off-peak ratios in order to reduce maximum demand at each facility. The proposed scheme has been applied to real world and its benefits are demonstrated through an example.

• 통합자연과학논문집
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• 제12권1호
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• pp.20-23
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• 2019

Demand response is usually operated through using the power rates and incentives. Demand management based on power charges is the most rational and efficient demand management method, and such methods include rolling base charges with peak time, sliding scaling charges depending on time, sliding scaling charges depending on seasons, and nighttime power charges. Search for other methods to stimulate resources on demand by actively deriving the demand reaction of loads to increase the energy efficiency of loads. In this paper, ESS algorithm for saving energy based on predicting the amount of solar power generation that can be used for buildings with small loads not under electrical grid.

• 전기학회논문지
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• 제60권6호
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• pp.1225-1228
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• 2011

This paper presents an advanced energy saving algorithm in building. It is important to aggregate a various demand side resource which is controllable on demand response environment. Previous demand side algorithm for building is restricted on peak power. In this paper, we suggest duty cycle algorithm for AHU on demand response to reduce the quantity of building power consumption. The test results show that the proposed algorithm is very effective.

• 한국통신학회논문지
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• 제42권4호
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• pp.904-914
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• 2017

효율적인 에너지의 사용을 위해 수요반응이라는 개념이 등장하였고 지능화 된 수요반응 서비스를 제공하기 위한 Open Automated Demand Response(OpenADR) 표준 프로토콜이 개발되었다. 최근 스마트 홈 중심의 에너지 Internet of Things (IoT) 분야에서도 사물인터넷 기술을 이용하여 다수의 스마트 홈 기기들에 수요반응 및 에너지 관리 서비스를 제공하려는 시도가 늘어나고 있다. 그러나 스마트 홈 에너지 IoT 환경에서는 많은 수의 초경량 디바이스들이 연결되기 때문에 기존의 HTTP/XML 기반의 OpenADR 수요반응 프로토콜보다 경량의 메시지를 이용한 수요반응 프로토콜이 필요하다. 본 논문에서는 Smart Energy IoT 환경에서 수요반응 서비스를 제공하기 위한 경량의 CoAP/JSON 프로토콜에 기반 한 경량화된 OpenADR 프로토콜을 제안하고 기존의 HTTP/XML 형식의 프로토콜과 성능을 비교 및 검증하였다.

• 전기학회논문지
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• 제60권5호
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• pp.929-935
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• 2011

Customers hardly change to electric prices in old days because electricity is essential commodity, while demand changes with price after deregulation. It's explained by price-based demand response with demand-elasticity matrix. Also all of the customers have had identical demand-price elasticity matrix till now. But in a practical power system, various customers are present with taking a variety of demand-price elasticity. Therefore this paper proposes demand-price sensitivity to represent different demand-price elasticity. Also as proposing demand-reliability sensitivity, it is modeling various customers' characteristics to reliability. And then this paper calculates total expected interruption cost of customer from the customer interruption cost and the demand-reliability sensitivity. A total expected interruption cost of system is shown as opportunity cost of a generation cost.

• 한국위성정보통신학회논문지
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• 제8권2호
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• pp.56-61
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• 2013

최근 들어 급격하게 증가하는 전력 수요와 더불어, 전력의 효율적인 소모를 위한 다양한 방법이 제시되고 있다. 그 중 가장 대표적인 예가 바로 스마트 그리드에 기반 한 수요반응 시스템이다. 이는 기존의 수동적이고 일방적인 전력 수요가 아닌, 서비스 공급자와 소비자의 통신을 통한 효율적인 전력 소모가 가능한 시스템이다. 이러한 수요반응 시스템은 대부분 이더넷, TCP/IP 기반의 HTTP통신을 활용하며, 현재는 하나로 정의되어 있지 않은 다양한 통신 응용 프로토콜이 존재한다. 본 논문에서는 이러한 수요반응에서 응용할 수 있는 프로토콜들의 종류와 그 응용에 관한 내용에 대하여 분석한다.