Research On Demand-side Response And Inter-provincial Trading Strategy Of Promoting Renewable Energy Consumption

With the requirements of low-carbon,environmental protection and sustainable development,China has formulated a series of regulations and policies,to promote the reform of the electricity market and energy structure reform,the renewable energy,mainly wind power and photovoltaic,has been developed rapidly.However,the inherent volatility and randomness of renewable energy,coupled with the imperfection of the current market trading mechanism,has greatly limited the space for renewable energy consumption,and the problem of abandoned wind and light is serious.As one of the main trading methods in China,inter-provincial trading can further optimize the allocation of renewable energy on a larger scale.In addition,demandside response has received widespread attention from domestic and foreign researchers due to its large flexible and adjustable potential,high flexibility,and low investment cost.Demandside response can not only be used to cut peaks and fill valleys and relieve system pressure,but also be used to smooth out the volatility of renewable energy,providing an effective solution to the problem of renewable energy consumption.Based on an in-depth analysis of the demand response characteristics of multiple types of users,an inter-provincial trading mechanism to promote renewable energy is designed from three aspects:day-ahead planning,intra-day execution and transaction settlement.In view of the different load characteristics,price elasticity responsiveness and peak regulation responsibility of different types of users,a multi-type user peak regulation responsibility assessment method is proposed,and based on this,a multi-type user time-of-use price guidance strategy is proposed,based on the fuzzy affiliation method,the peak and valley periods are divided,with the goal of maximizing the renewable energy consumption and satisfaction of each type of user,based on peak regulation responsibility for multiple types of users,a peakto-valley price optimization model is constructed.Simulation results show that a reasonable and fair time-sharing price strategy,based on different types of users’ peak regulation responsibilities,can not only enhance the enthusiasm and satisfaction of multiple types of users’participation in demand response,and achieve the purpose of peak reduction and valley filling for the grid,but also further improve the efficiency of renewable energy consumption.In order to further stimulate users to participate in demand response,a medium-and longterm source-load interactive price subsidy model to promote the consumption of new energy is proposed,which considers the influence of long-term social factors and electricity price changes on users’ demand response,and carries out monthly continuous inter-provincial trading.Simulation results show that by giving price subsidies to users,to further optimize their electricity demand,so that users’ electricity demand can be precisely matched with renewable energy output,the maximum consumption of renewable energy can be achieved,and in addition,expanding the peak-valley price difference can effectively improve the consumption of renewable energy,but the improvement effect is limited,and considering the role of energy storage,based on the peak-valley time-sharing tariff policy,can further relieve the pressure of system peaking,and improve the utilization rate of renewable energy.