Optimization models to flatten duck curve in power grid with high penetration of solar energy
Abstract
Currently, renewable energy sources are becoming increasingly popular worldwide as an alternative to reduce dependence on traditional energy sources, especially clean energy such as solar and wind energy. However, with a high level of solar energy integrated into the grid, operators are dealing with a new problem that can be visualized as the “duck curve”, when the solar energy production is high and the demand are low. In this paper, optimal MIQP models with two different objective functions to overcome the duck curve is introduced. The models are evaluated in the California power grid (CAISO), where the penetration of solar energy is significant. The results show that the battery energy storage system can help to reduce the ramp rate of the duck curve up to 57.6%.