Research On Operation Strategy Of Electricity Retailer Considering Risk And Demand Response

The promulgation of electricity reform No.9 marks the official start of the new round of power system reform in China.The central government calls for steadily promoting the reform of the selling side,and cultivating the main body of the market in many ways,various types of electricity retailers have been set up in succession all over the country.Based on the background of the opening of the sale side and the influx of electricity retailers into the market,the operation strategy of the electricity retailers will have a great impact on its operation effectiveness.It is of great significance to study how to integrate demand side response resources to market risk,and to carry out market operation decision in mid-and-long term market as well as day-ahead market in the future market.In this paper,the market decision-making mechanism that the Demand Response Resources(DRRs)is invoked for the market risk under mid-and-long term market and day-ahead market is studied,and the research is carried out on the participating parties based on this mechanism.The specific research content is as follows:(1)Electricity sale market’s risk and risk assessment index for electricity retailers are modeled.First,it introduces the risk of the spot market price and the load fluctuation that electricity retailers are faced with in the market operation,and generates the electricity price and the load scene through the multi-scene technology.Among them,multi-scene technology includes scene generation technology(Latin hypercube sampling)and backward scene reduction technology.The relevant theory of Conditional Value at Risk(CVaR)is introduced,and the market risk of the retailer is evaluated.Aiming at the largest profit and minimum risk,a market decision model of electricity retailer is established.A combined model of power purchase and sale is established and verified by an example.(2)Research on the mid-and-long term market decision of electricity retailers.This paper uses the CVaR model to assess the risks that the electricity retailers is facing in the market operation.Considering the influence of the price of the electricity on the market share,and establishing the decision model of the purchase and sale of the electricity retailers in the mid-and-long term market.By adopting the pricing strategy of TOU price,the retailer obtains the optimal power purchase and electricity price in mid-and-long term bilateral markets.The impact of different strategy selection of retailer on market revenue and risk is analyzed,and this paper provides specific suggestions for the mid-and-long term market operation of different risk types.When the retailer adopts diversified strategies to purchase and sell electricity,it will also help to reduce the peak load and user side electricity cost,achieving win-win results.(3)Research on day-ahead market decision of electricity retailers.Based on the results of mid-and-long term market planning,a piecewise linear quotation model of the electricity retailer is set up.The influence of market risk on the market decision of electricity retailer is taken into account,and then the model is linearized,the optimal bidding curve on day-ahead market in each period and the interruptible load scheduling strategy of electricity retailers are optimized.The characteristics and influence of the market quotation of the electricity selling company is studied.This paper analyzes the formulation of the contract parameters for theinterruptible load and the electricity market rules on the actual operation of the electricity retailer.The specific suggestions for the operation of different risk types for the company to participate in the market operation are provided.