| Title |
PV Power Prediction Models for City Energy Management System based on Weather Forecast Information |
| Authors |
엄지영(Eum, Ji-Young) ; 최형진(Choi, Hyeong-Jin) ; 조수환(Cho, Soo-Hwan) |
| DOI |
https://doi.org/10.5370/KIEE.2015.64.3.393 |
| Keywords |
Photo-voltaic Generation ; CEMS(City Energy Management System) ; Generation Prediction Model ; Weather Information ; Weather Index |
| 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. |