Abstract: As the scale of wind and photovoltaic energy integration increases, it is more difficult to satisfy the needs of large-scale new energy integration by only using hydropower and other peak-shaving resources on the power source side. To address this issue, we develop a short-term optimization model for hydro-wind-solar power complementary scheduling considering participation of the price-based demand response (PDR), which adjusts optimally the next-day load curve using PDR on the load side. And this model is decomposed into two sub-models of single target optimization, and solved in stages to reduce solution difficulty. Finally, it is applied to the system of the Wudongde hydropower station and the wind and photovoltaic power stations in Kunming and Yuxi. The results show that PDR has an obvious peak-load shifting effect on the load curve, so it not only can improve the source-load matching, but also can enhance the accommodation capacity of wind and solar power and increase the system’s total power generation. This demonstrates the effectiveness of the model and a new idea for the large-scale accommodation of new energy in the power grid.

Key words: price-based demand response, multi-energy complementary, short-term optimal scheduling, source-load matching, accommodation of wind and solar power