| With the publication of the No.9 electrical reform document,the power market has received more and more attention in China in recent years.However,in the traditional power system,only the concept of the load side exits while there is no real concept of the user side.The user,which is regarded as a load,can only receive electricity supply and pay for electricity.Even in the early stage of power market reform,competition mechanisms have just been introduced in the power generation side,and the user side can still passively accept regulated prices and have no option.Under such reform rules,the user side does not have the ability to respond,the efficiency of resource allocation on the power generation side is low,the entire market lacks profitability and flexibility,and the development of the electricity market enters a bottleneck period.With the gradual deepening of the electricity market reform,more and more countries and regions have recognized the importance of the user side,and began to put forward the concept of demand side response.However,the demand side response resources are generally only used for some auxiliary service markets.The potential is still not fully tapped,and research in this area has important value and significance.Therefore,the trading strategies of demand-side resources in the dayahead power market are studied in this paper.Firstly,the structure of the daily electricity market is analyzed and effective basis for taking day-end electricity price as the demand-side resource to participate in the daily electricity market is proposed.Then,based on the time series model and similar day selection method,the daily electricity price is predicted.Finally,the predicted electricity price is used for optimizing and simulating the strategy of the demand side.The research content of this paper is as follows:Using the electricity price forecasting tool,the demand-side response resources are used in the day-to-day electricity market,which improves the efficiency of resource allocation and reduces the cost of social electricity.The main contents of this article are:(1)A method for the demand-side resource to participate in the pre-day power market based on the recent price signals is presented.By analyzing the current situation at home and abroad,it demonstrates that the demand-side resources participate in the rationality of the current power market;combining PJM and the domestic power market structure,it elaborates the main modes of daily power trading and the dominant position of electricity prices in the day-end power market;The characteristics of the electricity price and the characteristics of the electricity price forecast make a pave for subsequent electricity price forecasting.(2)A daily price forecasting method based on similarity day selection and time series model is proposed.Combining with the analyzed electricity price characteristics,using the methods of wavelet change and similarity selection,the characteristics of the daily electricity price are analyzed and the classification of historical electricity price data is achieved;using the daily characteristics of the day to be forecasted,the forecasted daily electricity price is performed in the time series model.Precise forecasting.(3)An optimization strategy for the demand side resource considering the multi-tariff scenario to participate in the current power market is proposed.Utilize the forecasted daily electricity price to optimize the strategy for the demand side to participate in the current day’s electricity market,and analyze the demand side resources by setting the electricity price of different levels and fluctuations and different resource combinations to participate in the electricity market.Features and advantages.The simulation results show that the demand side responds to the resources and participates in the power market to obtain greater profits. |
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