An intelligent body control and learning module of an electric power user response system
A technology for learning modules and power users, applied in data processing applications, instruments, calculations, etc., can solve the problems of low accuracy of the total load curve of the user group, the inability to provide classification for the user group, and difficulty in describing the overall situation of various classifications
Active Publication Date: 2016-01-27
STATE GRID ENERGY RES INST +1
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Problems solved by technology
In the existing technology, only one or a few factors are used to analyze the user's learning process and changes in electricity consumption behavior, and it is impossible to provide detailed classification for the user group, and it is difficult to describe the multiple classifications when simulating the overall user group. The overall situation, so the accuracy of the curve of the total load of the simulated user group is also relatively low
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[0024] An embodiment of the present invention provides an intelligent body control and learning module of an intelligent body in a power user response system. In order to facilitate understanding of the intelligent body control and learning module, the following electric power user response system and the structure of the intelligent body in the system are firstly introduced.
[0025] figure 1 Shows the structural diagram of the power user response system in the embodiment of the present invention, as figure 1 As shown, the power user response system at least includes an agent group 1, a total load calculation module and an electricity price calculation module.
[0026] Agent group 1 consists of at least one agent, in figure 1 In particular, N agents are taken as an example, which are respectively recorded as agent 1~agent N. Each agent is an agent established based on the agent technology, and each agent represents a user agent, that is, each agent represents a user agent, ...
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The invention provides an agent control and study module of an agent of a power consumer response system. The agent control and study module comprises a power utilization behavior calculating module, an agent study module, a data collection module and an agent total load and daily charge calculation module. The agent study module is used for outputting study rate of the agent to the power utilization behavior calculating module; the power utilization behavior calculating module is used for calculating control signals on a calculating module group of a conventional power utilization device and control signals on a distribution type energy distribution calculating module group and simultaneously outputs the control signals to the data collection module to serve as historical behavior data of a user; the agent total load and daily charge calculating module is used for receiving load data output by the calculating module of the conventional power utilization device and power generation data output by the distribution type energy calculating module group and can further receive electricity price data output by an electricity price module to calculate the total load and daily cost of the agent.
Description
technical field [0001] The invention relates to the field of electric power behavior analysis, in particular to an intelligent body control and learning module of an intelligent body in a power user response system. Background technique [0002] The user response system based on agent technology (AgentBased) needs to simulate specific user behaviors. In the system, each user is represented by a data structure called an agent, and the attributes of various electrical equipment and users themselves are in the intelligence The body is called a member of the data structure. The method based on agent technology can describe user behavior from the microcosmic perspective, thus forming various statistical characteristics of the macrocosm, so that the user response system can be described from the microcosmic and macroscopic perspectives at the same time. [0003] The learning control function of each agent in the prior art is mainly to calculate electricity consumption behavior an...
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IPC IPC(8): G06Q50/06
Inventor 赖来利许方园
Owner STATE GRID ENERGY RES INST