Research On Pricing Method Of Time-of Sale In Peak-Valley Under Power Market Environment

With the rapid development of economy and society,the management mode of vertical integrated monopoly operation in the power industry has gradually exposed the disadvantages of low efficiency.Countries all over the world have established power markets to realize the optimal allocation of resources.As an important way to transmit the price signal of power wholesale market to users,the electricity selling price in retail market is the key to form a "buy sell" market pattern and promote the healthy development of power market.Peak valley TOU price is the most widely used electricity price system in electricity sales price because it has the advantages of cutting peak and filling valley,improving the security and stability of power system and economic operation.Therefore,with regard to the time of use price of peak and valley,this paper studies the power sales pricing under the electricity market environment,including the peak and valley power sales price of retail companies and the peak and valley power sales price of guaranteed power supply services.The main work and conclusions are as follows:(1)This paper studies the risk indicators and evaluation methods of power purchase and sale of retail companies,takes into account the fitting accuracy and calculation efficiency of risk,and puts forward a risk random variable processing method combined with Latin hypercube sampling(LHS)scene generation technology and K-means clustering scene reduction technology,The conditional value at risk(CVa R)is used as the evaluation index to evaluate the risk of power purchase and sale of retail companies.(2)This paper studies the power purchase and sale portfolio decisionmaking of retail companies under the responsibility of renewable energy consumption,constructs the portfolio decision-making and risk analysis framework of retail companies,coordinates medium and long-term transactions,spot transactions,renewable energy power purchase agreement(PPA)and green certificate transactions,cooperates with peak and valley time-sharing power sale price and energy storage leasing strategy,and describes the risks caused by nonaqueous renewable energy consumption through scenario method,Taking the comprehensive trade-off between maximizing expected return and minimizing risk loss as the decision-making goal,a power purchase and sales portfolio decision-making model of retail companies considering renewable energy consumption responsibility is established.An example shows that the decisionmaking method can effectively avoid the losses and risks caused by the renewable energy consumption responsibility of power selling companies.(3)This paper studies the peak and valley electricity pricing of guaranteed power supply service,draws lessons from foreign practical experience,and puts forward the pricing principle and formulation method of guaranteed power supply service suitable for the development period of China’s power market in the spot pilot area.The peak and valley periods are divided according to the spot market price by using the correlation coefficient method and fuzzy clustering method;Based on the cost principle,taking into account the promotion of market development,build the formulation method of minimum guaranteed power supply peak and valley price level;Establish a price adjustment mechanism to ensure cost recovery.Numerical examples verify its rationality.