Abstract

With the continuous development of economy, China’s power load increases rapidly every year, which leads to the traditional generation side investment has been difficult to meet people’s daily needs. Therefore, demand side management (hereinafter referred to as DSM) has become the main power supply method based on user demand, which can regulate the power system by stimulating demand side resources. At present, DSM has been difficult to meet the actual load form analysis, which needs to be analyzed based on big data technology. With the growth of power grid data, we can classify the power load according to the difference of power users. With the diversification of power consumption types, the shape of load curve (hereinafter referred to as LC) in China will become more and more complex, which requires us to study the combination method of user load patterns. Firstly, this paper analyzes the related concepts. Then, this paper analyzes the basic model of DSM. Finally, this paper proposes a combined identification model of load configuration.

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