Power utilization mode classification and control method based on user behavior characteristics

Abstract

The invention discloses power utilization mode classification and control method based on user behavior characteristics. With an improved secondary clustering model built by use of a secondary clustering method, the load point of each day of the same user in one year in an industrial park is taken as a characteristic vector, the daily power utilization characteristics of the user can be concluded from a clustering result, and a plurality of typical power utilization modes of the enterprise user can be provided, and therefore, basis can be provided for load prediction, fault diagnosis, electricity pricing and the like in the industrial park; furthermore, the optimal plane power utilization mode in demand side management can be selected by virtue of optimization function modeling on load data; the model is advantageous for a power supply company to reduce the loss of electricity selling profit as much as possible under the premise of guaranteeing power supply; at last, a user power utilization behavior mode library in the industrial park built on the basis is capable of comparing a new settling enterprise inconvenient to model with the modelled typical user mode and obtaining the load characteristics of the new settling enterprise by virtue of analogizing, and therefore, the planning efficiency of the park can be improved.

Description

technical field [0001] The invention relates to the technical field of electric power system and automation thereof, in particular to the problems of industrial park load planning, analysis and demand-side management, and in particular to the classification and control method of power consumption patterns based on user behavior characteristics. Background technique [0002] The structure of the smart grid includes two aspects: the smart transmission network and the smart distribution network. The smart distribution network has the characteristics of many new technologies and is quite different from the traditional power grid. Among them, the smart demand side management that is most closely connected with users is crucial to the realization of The overall goal of smart grid construction plays a pivotal role. By mastering and analyzing the load composition of the system, demand response can guide power users to choose a reasonable power consumption time, or adopt a reasonable...

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Problems solved by technology

[0003] At present, domestic research on demand-side response is far from enough, and research on the load of a specific industrial park is even rarer.

In addition, for the demand-side response plan in the park, it is often a priority to arrange large customers to participate in the peak-avoidance plan. Such an extensive method lacks the support of mathematical models and scientific basis, which is not conducive to improving the allocation efficiency of power resources.

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