Abstract

In the electricity market, the volume of electricity traded and the price of electricity affect the behavior of both supply and demand parties in participating in the market. The larger the transaction scale, the greater the impact of load fluctuations on market transactions. Establishing the influence relationship of market transactions on load plays a very important role in load forecasting and user behavior analysis. This article expounds the basic concept of demand price elasticity and applies it to electricity market transactions. Establish the calculation model of the elasticity matrix of the electricity price of users under Market Clearing Price (MCP), Pay As Bid (PAB) and Locational Marginal Price(LMP) market transaction settlement methods in the day-ahead market environment respectively to quantify the response degree of users to electricity prices in different market environments. The rationality and effectiveness of the model is verified through the analysis of a numerical example, which provides a theoretical basis for load forecasting and user electricity behavior analysis.

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