Study On Demand Side Management Of Electricity Selling Companies Under The Background Of New Electric Power System Reform

In order to improve the terminal power efficiency and ensure the safety and reliability of the power grid,effectively using effective incentives and appropriate power management activities to guide power users to optimize the use of electricity and adjust the distribution of users' power load periods,a series of such management activities is called Demand Side Management(DSM).Under the background of new electric power system reform,regional power users such as industrial users and business users will more fully face the price information of electric power products in market transactions,and can more autonomously participate in power market trading operations.The electricity-selling companies play an important part in DSM,which will connect the power generation side with the electricity users.Based on the theory of DSM and the environmental characteristics of electricity selling companies,we analyzed the characteristics and specific in DSM implementation objectives,combined with the background of new electric power system reform,the development status of electricity selling companies and their problems in participating in DSM are summarized.We propose proposes a new algorithm based on depth learning algorithm Adaboost Regional short-term load price forecasting method.At the same time,the DSM implementation benefit modeling is carried out from electricity selling companies,the user side and the grid side,respectively,so as to construct the objective function of DSM load optimization and use the ant colony algorithm to optimize the DSM load curve which will provide data support for the electricity selling companies to develop short-term efficient DSM strategy.The article finally formulated the quasi-real-time electricity price strategy for electricity selling companies and the specific DSM program.