Closed-loop self-learning demand response system and method

A demand response, self-learning technology, applied in data processing applications, instruments, electrical components, etc., can solve the problems of inability to balance the grid load in real time, inability to collect, and inability to detect and monitor the safety of electricity users, so as to improve the management of electric power. The effect of resource utilization, improving balance ability and adaptability, and strong closed-loop self-learning expansion ability

Active Publication Date: 2014-12-17
CHONGQING UNIV OF POSTS & TELECOMM
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  • Abstract
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AI Technical Summary

Problems solved by technology

[0004] For example, the publication number CN 102738801 A discloses a power demand response method and response system. This patent application is only aimed at key users and key load types of electric load equipment data collection information and detailed analysis of load characteristics, and cannot analyze each The power consumption of electric load equipment, electricity price of other electric energy types, and power quality information are collected. The system does not generate secondary stimulation and response, and cannot balance the load of the power grid in real time; Demand response system and automatic demand response method, the patent application includes a user-set control strategy, which will change with the user's preferences, does not have the ability of automatic learning, frequent user input is likely to cause grid fluctuations, and cannot be controlled The safe use of electricity for power users is detected and monitored, and thus it is not possible to balance the load of the power grid and provide early warning in a timely and accurate manner.

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  • Closed-loop self-learning demand response system and method
  • Closed-loop self-learning demand response system and method
  • Closed-loop self-learning demand response system and method

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Embodiment Construction

[0049] Below in conjunction with accompanying drawing, the present invention will be further described;

[0050] Such as figure 1 and figure 2 The closed-loop self-learning demand response system shown includes DR server, DR client and smart meter 4, and the DR server, DR client and smart meter 4 are all connected by RS485 bus, micropower radio wave, power line carrier any of the three to communicate. The DR server includes a power company 1, a distribution device and a converging device 3. The power company 1 distributes the latest electric energy information and service control information to the smart meter 4 through the distribution device 2, so as to stimulate the DR client to schedule the power load equipment 10 . The DR client uses a multi-input single-output network to classify and classify the input electric energy information and the power of the electric load equipment 10, and continuously learns and makes decisions on the use plan of the electric load equipment...

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Abstract

The invention discloses a closed-loop self-learning demand response system and method. The system comprises a DR server, a DR client and an intelligent electric meter, an electric power company in the DR server distributes the latest electric energy information and service control information to stimulate the DR client to dispatch electric power load equipment, the DR client classifies and grades the input electric energy information and the power of the electric power load equipment by the aid of a multi-input single-output network, continuously learns and determines the use plan of the electric power load equipment based on rules, predicts electric power demand information, collects the information to the DR server to form a closed loop, stimulates the electric power company to collate, clean and mine the demand information and performs future DR planning, dispatching, control and new information generation based on processing results. Network load can be timely and effectively balanced, a user is reminded of switching electric energy, user expenses are decreased, and network stability is improved.

Description

technical field [0001] The invention relates to the field of smart grids, in particular to a closed-loop self-learning demand response system and method. Background technique [0002] China is a large power consumption country, the distribution of power resources is uneven, the waste of power energy is large, and the utilization rate of power energy is not high. In recent years, my country's power gap has been increasing. It is estimated that by 2015, my country's power gap is expected to reach 100 million kilowatts. Users compete for power resources and the load imbalance of the power grid. Therefore, more and more researchers are devoting themselves to the research of the power market, in order to maximize the social benefits of power resources from the power demand side and the power generation side, and at the same time use demand response to adjust without adding new power generation equipment. Grid load, so that the existing power can try its best to meet the needs of...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J13/00G06Q10/06G06Q50/06
Inventor 付蔚敬章浩王平黄修谋吴有义葛厚洋王俊李倩葛清华
Owner CHONGQING UNIV OF POSTS & TELECOMM
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