기상정보를 활용한 도시규모-EMS용 태양광 발전량 예측모델

다국어 초록 (Multilingual Abstract)

City or Community-scale Energy Management System(CEMS) is used to reduce the total energy consumed in the city by arranging the energy resources efficiently at the planning stage and controlling them economically at the operating stage. Of the operational functions of the CEMS, generation forecasting of renewable energy resources is an essential feature for the effective supply scheduling. This is because it can develop daily operating schedules of controllable generators in the city (e.g. diesel turbine, micro-gas turbine, ESS, CHP and so on) in order to minimize the inflow of the external power supply system, considering the amount of power generated by the uncontrollable renewable energy resources. This paper is written to introduce numerical models for photo-voltaic power generation prediction based on the weather forecasting information. Unlike the conventional methods using the average radiation or average utilization rate, the proposed models are developed for CEMS applications using the realtime weather forecast information provided by the National Weather Service.

목차 (Table of Contents)

• Abstract
• 1. 서론
• 2. 태양광발전량 예측모델
• 3. CEMS용 태양광발전량 예측모델
• 4. 결론
• References

참고문헌 (Reference)

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6 KEMCO, "New & Renewable Energy Statistics 2012" 2013

7 "New & Renewable Energy Center of KEMCO"

8 "KASI"

9 S. S. Park, "City Energy Management System Considering Hybrid Energy Resources and Loads" 7 (7): 9-17, 2013

10 N. R. Heo, "A Study on Developed an Algorithm Energy Management and Operation of City" 141-144, 2011

11 J. Y. Kim, "A Proposal of the Prediction Method of Decentralized Power on Climatic Change" 942-945, 2010