Abstract
Integrating energy storage into electlic power system has long been recognized as a way to maximize a utility's g generation and transmission capacity, Electlic power can be stored during off-peak periods and then recovered during p peak conditions to offset the need for larger generation and transmission capacity, Currently large-scale SMES for the p purpose of energystorage which can be also se$\pi$ed by battery storage or flywheel system has been developed, and near f future it will be integrated into power grids, This paper presents an investment analysis on large-scale SMES which c can determine its optimal size in power systems, In operation model. least generation cost for energy storage in SMES a and its mar밍nal capacity cost can be calculated using the discreteness of probability distribution for power availability I Investment decisions are made by the maximum p디nciple and the case study shows the optimal operation and realistic i information on the proper size of large-scale SMES in power systems.
전기에너지의 저장은 발전효율면이나 전력의 품질향상 등 전력시스템에서 뚜렷한 장점을 가지고 있다. 초전도 에너지 저장장치는 전기에너지를 저장할 수 있는 설비의 하나로 높은 효율과 속응성, 긴 수명 등의 특성으로 전력시스템 적용시 곧 이루어지리라 예상된다. 본 논문에서는 SMES의 국내도입시 필요한 투자정보를 제공하기 위한 최적규모 산정의 알고리즘을 제안한다. 제안한 알고리즘은 SMES의 경제적 운전 양상을 결정하는 확률적 운전모형과 최대원리를 이용한 투자계획모형으로 구성되어 있다.
