IMPACT ASSESSMENT OF PV POWER OUTPUT FORECAST UPDATE ON IMPROVEMENT OF UNIT COMMITMENT SCHEDULING

Abstract

In order to utilize the power output of photovoltaic (PV) power generation as much as possible in an electric power system, proper unit commitment (UC) scheduling based on an accurate and reliable forecasting of PV power output is essentially important. This study based on a computational simulation demonstrates the effect of forecast update on the improvement of UC scheduling as follows. In a large demand case, the cost is reduced by about 2 % by 20% forecast improvement when the update is available early in the morning. In a small demand case, the cost reduction by the forecast improvement is limited due to smaller flexibility of generators.