• Journal of Electrical Engineering and Technology
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• v.9 no.3
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• pp.1125-1131
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• 2014

Application of residential demand response (DR) programs are currently realized up to a limited extent due to customers' difficulty in manually responding to the time-differentiated prices. As a solution, this paper proposes an automatic home load management (HLM) framework to achieve the household minimum payment as well as meet the operational constraints to provide customer's comfort. The projected HLM method controls on/off statuses of responsive appliances and the charging/discharging periods of plug-in hybrid electric vehicle (PHEV) and battery storage at home. This paper also studies the impacts of different time-varying tariffs, i.e., time of use (TOU), real time pricing (RTP), and inclining block rate (IBR), on the home load management (HLM). The study is effectuated in a smart home with electrical appliances, a PHEV, and a storage system. The simulation results are presented to demonstrate the effectiveness of the proposed HLM program. Peak of household load demand along with the customer payment costs are reported as the consequence of applying different pricings models in HLM.

• Proceedings of the KIEE Conference
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• 2007.07a
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• pp.113-114
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• 2007

For restructure of korean power system, we needs research and development concerning RTP and Revenue Reconciliation. In these Implementations the real-time prices are updated at half-hourly or hourly intervals and in no case are the prices spatially differentiated. The implemented rates are based upon marginal generating costs with markups to account for system transmission and distribution costs or other revenue reconciliation needs. This paper analyzes how great is the impact of alternative price markup methods on measures of social welfare and customer responses. A case study and energy sales are also presented.

• Proceedings of the KIEE Conference
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• 2011.07a
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• pp.507-508
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• 2011

본 논문에서는 AMI(Advanced Metering Infrastructure) 개발에 가상화 기술을 적용하는 방안을 제안한다. AMI는 스마트그리드의 수요측면을 구성하며, 지능형 전력량계(Smart Meter)에서 취득된 데이터를 다양한 연계시스템에서 활용하여, 사용자에게 DR(Demand Response), RTP(Real-Time Pricing)와 같은 부가 서비스를 제공하기 위한 인프라이다. 또한 가상화 기술은 물리적 하드웨어를 가상화하여 논리적 가상 하드웨어로 제공하는 기술로서 AMI를 구성하는 물리적 단위 시스템을 논리적 가상 머신으로 구성이 가능하도록 한다. AMI를 구성하는 다양한 연계시스템의 상호운영성 및 테스트 용이성 확보를 위해 가상화 기술의 적용 방안을 도출하고, 가상화 기술 적용의 기대효과를 분석한다.