Hydro-wind-solar Complementary Optimal Scheduling Considering Participation Of Price-based Demand Response

In recent years,China’s power system is accelerating to adapt to the large-scale high proportion of clean energy transformation,wind power,photovoltaic,hydropower and other forms of clean energy generation will gradually transition to a dominant position.The "hydro-wind-solar power generation system" in the road to promote the wind-solar and other new energy consumption has achieved certain results,however,with the increasing in the scale of wind and photovoltaic new energy integration,it is 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,it is necessary to fully mobilize the load side and integrate the power side and load side resources,which is of great significance to further promote large-scale new energy grid connection and consumption.This paper makes full use of the complementary characteristics of various power sources on the power side and the ability of load regulation by pricebased demand response(PDR)on the load side,and adopts the "source-load interaction" approach for comprehensive planning of hydro-wind-solar energy in the study area,so as to improve the capacity of the power system to consume new energy.Therefore,firstly,the basic theory and policy of demand response(DR),the revelation of DR and the influence mechanism of DR in promoting new energy consumption are analyzed to provide theoretical support for the hydro-wind-solar complementary optimal scheduling considering participation of DR in the study area.Secondly,the price-based demand response technology is introduced on the load side to optimize the daily load curve,with the highest source and load matching degree and the minimum power discard as the goal,a two-stage short-term optimization scheduling model for hydro-wind-solar power generation system considering participation of source-load interaction is proposed.To improve the computational accuracy,genetic simulated annealing algorithm and dynamic programming algorithm are used for solving in the first and second stages respectively according to the model characteristics.Finally,the proposed model was applied in the optimal operation of Wudongde hydropower station and wind and photovoltaic power stations in Kuming and Yuxi cities,and results show that compared with the hydro-wind-solar complementary optimal scheduling,the source-load matching degree is increased by 0.13 and 0.55 on a typical day in July and a typical day in January,the abandoned power is reduced by 713.66 MW·h and 2757.38 MW·h,and the remaining load is reduced by 255.87 MW and 126.53 MW,respectively.The above data shows that the PDR has an obvious peak-load shifting effect on the load curve,so it can not only improve the source-load matching degree,but also enhance the accommodation capacity of wind and solar power,and increase the total power generation of the Hydro-wind-solar power generation system.