CN102968746B - A kind of intelligent body of intelligent body of power consumer responding system controls and study module - Google Patents
A kind of intelligent body of intelligent body of power consumer responding system controls and study module Download PDFInfo
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Abstract
The intelligent body that the invention provides a kind of intelligent body of power consumer responding system controls and study module, comprises electricity consumption behavior computing module, intelligent body study module, data collection module, intelligent body total load and daily cost computing module; Intelligent body study module is used for the learning rate exporting intelligent body to electricity consumption behavior computing module; Electricity consumption behavior computing module, for calculating the conventional control signal of consumer computing module group and the control signal to distributed energy computing module group, exports control signal to data collection module simultaneously, as the historical behavior data of this user; The generating data that intelligent body total load and daily cost computing module export for the load data that receives conventional consumer computing module group and export and distributed energy computing module group, also receive the electricity price data that electricity price module exports, calculate total load and the daily cost of this intelligent body.
Description
Technical field
The present invention relates to electric power behavioural analysis field, the intelligent body particularly relating to a kind of intelligent body of power consumer responding system controls and study module.
Background technology
User's responding system based on intelligent agent technology (AgentBased) needs to simulate concrete user behavior, by one, each user is called that the data structure of intelligent body represents in systems in which, and the attribute of various consumer and user self is all called the member of this data structure in intelligent body.Method based on intelligent agent technology can describe user behavior from microcosmic, thus the various statistics forming macroscopic view are hallmark, and user's responding system can be described at microcosmic with macroscopically simultaneously.
The learning control function of each intelligent body of the prior art itself mainly calculates electricity consumption behavior and learning process by electricity price mode and power consumption two aspects.And in fact, user exists to the new power utilization environment comprising electricity price the process progressively adapted to, the factor affecting this procedure of adaptation is also many, comprises exchanging between the history electricity consumption behavior of user, the attribute of the electricity charge and user itself and user.Only from some or indivedual several learning process of factor analyzing user and the change of electricity consumption behavior in prior art, detailed classification cannot be provided for customer group, and then be difficult to when simulating overall customer group the general status depicting multiple classification, thus the curve accuracy of the customer group total load simulated is also lower.
Summary of the invention
A kind of intelligent body of intelligent body of power consumer responding system is the object of the present invention is to provide to control and study module, the process of user learning and the new power utilization environment of adaptation can be depicted, and finally obtain user from a kind of power utilization environment to the load of another kind of power utilization environment progressively change procedure.
One aspect of the present invention provides a kind of intelligent body of intelligent body of power consumer responding system to control and study module, comprising: electricity consumption behavior computing module, intelligent body study module, data collection module, intelligent body total load and daily cost computing module;
Wherein, described intelligent body study module is used for the learning rate exporting intelligent body to electricity consumption behavior computing module;
Described electricity consumption behavior computing module is used for according to the history electricity consumption behavioral data of electricity price data, user, the historic load of user, calculate the conventional control signal of consumer computing module group and the control signal to distributed energy computing module group, export described control signal to data collection module, as the historical behavior data of this user simultaneously;
The generating data that described intelligent body total load and daily cost computing module export for the load data that receives conventional consumer computing module group and export and distributed energy computing module group, also receive the electricity price data that electricity price module exports, calculate total load and the daily cost of this intelligent body, and exported in data collection module;
The control signal data that the total load of the intelligent body that described data collection module exports for electricity price data, intelligent body total load and the daily cost computing module receiving electricity price module and export and daily cost and electricity consumption behavior computing module export.
Preferably, also comprise:
User satisfaction computing module, for receiving daily cost data and the electricity price data of data collection module output, calculating the user satisfaction data of this intelligent body, and returning to data collection module.
Preferably, described intelligent body study module specifically comprises: intelligent body intrinsic information setting submodule and intelligent body learning rate calculating sub module;
Wherein, described intelligent body intrinsic information setting submodule is for receiving background information data, and these background information data are sorted out quantitative analysis, calculate the intelligent body intrinsic information data that intelligent body learning rate is relevant, and be delivered to intelligent body learning rate calculating sub module;
Described intelligent body learning rate calculating sub module, for receiving from the intelligent body intrinsic information setting intelligent body intrinsic information data of submodule and electricity price data, the daily cost data of this intelligent body, the historical behavior data from data collection module, calculates the learning rate of user behavior.
Preferably, also comprise:
Communication module, for receiving daily cost data, historical behavior data that described data collection module exports, and the intelligent body flowing to other intelligent bodies controls and study module, and the intelligent body receiving other intelligent bodies controls daily cost data and the historical behavior data of other intelligent bodies sended over study module.
Preferably, also comprise mode selection module, for selecting the state model residing for intelligent body; The state model of described electricity consumption behavior computing module also residing for intelligent body, calculates the conventional control signal of consumer computing module group and the control signal to distributed energy computing module group.
Preferably, described state model comprises: represent home mode that whether intelligent body be in, represent outer exit pattern that whether intelligent body go out, weekend mode that whether band bag intelligent body is in vacation or weekend, represent intelligent body whether install intelligent electric meter intelligent electric meter pattern, represent the power supply state pattern whether intelligent body obtains normal power supply.
As can be seen here, the intelligent body that the embodiment of the present invention provides controls the process having depicted user learning with study module and adapted to credit electrical environment.
Accompanying drawing explanation
Fig. 1 is the structural drawing of power consumer responding system in the embodiment of the present invention;
Fig. 2 is a kind of structural drawing of the intelligent body in electric power responding system;
Fig. 3 is that the intelligent body that the embodiment of the present invention provides controls the concrete structure figure with study module;
Fig. 4 is a kind of concrete structure figure of intelligent body study module provided by the invention.
Embodiment
The embodiment of the present invention provides a kind of intelligent body of intelligent body of power consumer responding system to control and study module, conveniently understands this intelligent body and controls and study module, first introduce the structure of the intelligent body in following power consumer responding system and this system.
Fig. 1 shows the structural drawing of power consumer responding system in the embodiment of the present invention, and as shown in Figure 1, this power consumer responding system at least comprises agent swarm 1, total load computing module and electricity price computing module.
Agent swarm 1 is made up of at least one intelligent body, in FIG especially for N number of intelligent body, is designated as intelligent body 1 ~ intelligent body N respectively.Each intelligent body is the intelligent body set up based on intelligent agent technology, and each intelligent body represents a user's body, and namely each intelligent body characterizes a user's body, for the electricity consumption behavior of analog subscriber body.
Particularly, the electricity price data that each user's body exports for receiving electricity price computing module 3, and the user behavior of user's body under the impact of this electricity price of simulating that this intelligent body characterizes, and export the load data of this user's body.
Total load computing module 2 receives the respective load data that all intelligent bodies in agent swarm 1 export, and calculates the total load of this agent swarm 1 thus.
Electricity price computing module 3 receives the total load of the agent swarm 1 that total load computing module 2 calculates, and receives policy data, calculates due electricity price data thus.
This power consumer responding system does not simulate the change of the user behavior of the electricity price that user calculates according to electricity price computing module by means of only intelligent body, and also achieve according to user load and electrovalence policy calculating electricity price by electricity price computing module, thus achieve the closed loop of whole analytic process, consider influencing each other between electricity price and user load.
In addition, in power consumer responding system shown in Figure 1, preferably can also increase average every intelligent body load every day computing module 5, this average every intelligent body load every day computing module 5 is for receiving the total load data of the agent swarm that total load computing module 2 calculates, and according to the intelligent body quantity in agent swarm, calculate the load data of average each intelligent body every day.
In addition, average every intelligent body energy charge every day computing module 6 can also be increased, the electricity price data that this average every intelligent body energy charge every day computing module 6 calculates for the total load data and electricity price computing module 31 receiving the agent swarm 1 that total load computing module 2 calculates, and according to the quantity of the intelligent body in agent swarm, calculate the electricity cost of average each intelligent body every day.
In addition, during the electricity consumption behavior of each intelligent body analog subscriber body in agent swarm 1 under the impact of electricity price, intelligent body can also calculate the satisfaction of user, and satisfaction is also often data very important in simulation electricity consumption action process.Based on this, preferably, intelligent body calculates the satisfaction of the user representated by it, increase overall user satisfaction computing module 4 within the system, the satisfaction data that this overall user satisfaction computing module 4 calculates for all intelligent bodies received in agent swarm 1, and the user satisfaction of the entirety of intelligent computing agent group 1 thus.
Fig. 2 shows a kind of structural drawing of the intelligent body in above-mentioned electric power responding system, and this intelligent body comprises intelligent body and controls and study module 11, distributed energy computing module group 12 and conventional consumer computing module group 13.
Wherein, distributed energy computing module group 12 comprises wind power generation computing module 121, electric motor car computing module 122, solar electrical energy generation computing module 123.
Wind power generation computing module 121 is for the control signal that controls to send with study module 11 by intelligent body and self subsidiary air speed data of this wind power generation computing module 121, the wind power generation data of unit of account time, and output it to intelligent body control and study module 11.
Solar electrical energy generation computing module 122 is for the control signal that controls to send with study module 11 by intelligent body and self subsidiary insolation data of this solar electrical energy generation computing module 122, calculate the solar electrical energy generation data of unit interval, and output it to intelligent body control and study module 11.
Electric motor car computing module 123, for the control signal that controls to send with study module 11 by intelligent body and battery status data, battery parameter, calculates electric motor car charging load and the discharge data of unit interval, and exports to intelligent body and control and study module 11.
In the embodiment of the present invention, in distributed energy computing module group 12, also comprise electric motor car computing module 123, consider the simulation of various possible generating set comprehensively.
Conventional electricity consumption computing module group 13 comprises electric consumption on lighting computing module 131, washing machine electricity consumption computing module 132, computer electricity consumption computing module 133, air conditioning electricity computing module 134, electric fan computing module 135, TV electricity consumption computing module 136, basic electricity consumption computing module 137.
Intelligent body controls the apparatus of load data calculated for all consumer electricity consumption computing modules received in conventional consumer computing module group 13 with study module 11, and receive the generating data of distributed energy computing module group 12 output, total rate of electricity data simultaneously, calculate total load and the electricity cost of this intelligent body, and send control signal to conventional consumer computing module group 13 and distributed energy computing module group 12.Here electricity price data can from electricity price computing module 31.This electricity price computing module 31 is same modules with electricity price computing module 31 in Fig. 1.
Construct more complete overall power utilization environment in this intelligent body, what take into full account user's plurality of devices uses situation in a unified manner, and then calculates the fluctuation of load of user, improves authenticity and the accuracy of user behavior response simulation.Also introducing distributed energy in this intelligent body simultaneously, providing structural basis for analyzing following user's response condition.
Describe below in conjunction with Fig. 3 the intelligent body that the embodiment of the present invention provides in detail and control the concrete structure with study module.
As shown in Figure 3, this intelligent body controls at least to comprise electricity consumption behavior computing module 111, intelligent body study module 112, data collection module 113, intelligent body total load and daily cost computing module 114 with study module.
Wherein, intelligent body study module 112 is for exporting the learning rate of intelligent body to electricity consumption behavior computing module 111.The learning rate of intelligent body refers to the rate of change of intelligent body electricity consumption behavior.Typical learning rate computing method arrange intelligent body daily cost can accept reference value and electricity price can accept reference value, the actual value of intelligent computing agent daily cost and intelligent body daily cost can accept the difference that difference between reference value and electricity price actual value and electricity price can accept between reference value respectively, be multiplied by intelligent body intrinsic information data probability distributions again and historical behavior changes the susceptibility drawn, draw final learning rate.
Such as can calculate learning rate by following formula:
The actual value of learning rate=susceptibility * f(intelligent body daily cost and intelligent body daily cost can accept the difference between reference value) * g(electricity price actual value and electricity price can accept between reference value difference)
Wherein function f (x) can accept the impact of the difference between reference value on learning rate, g(x for the actual value and intelligent body daily cost representing intelligent body daily cost) for representing that electricity price actual value and electricity price can accept the impact of the difference between reference value on learning rate.
Electricity consumption behavior computing module 111 is for according to the history electricity consumption behavioral data of electricity price data, user, the historic load of user, calculate the control signal of conventional consumer computing module group 13 and the control signal to distributed energy computing module group 12, export this control signal to data collection module 113, as the historical behavior data of this user simultaneously.
The generating data that intelligent body total load and daily cost computing module 112 export for the load data and distributed energy computing module group 12 receiving conventional consumer computing module group 13, also receive the electricity price data that electricity price computing module 31 exports, calculate total load and the daily cost of this intelligent body, and exported in data handsets module 113.
Critical data needed for data collection module 113 primary responsibility system cloud gray model, such as receive total load and the daily cost of the intelligent body that the electricity price data of electricity price module output, intelligent body total load and daily cost computing module 114 export, and the control signal data that electricity consumption behavior computing module 111 exports.
As can be seen here, the intelligent body that the embodiment of the present invention provides controls the process having depicted user learning with study module and adapted to credit electrical environment.
In practice, in the process of intelligent body modelling customer behavior, need the satisfaction of analog subscriber toward contact.Based on such consideration, this intelligent body controls and all right adding users satisfaction computing module 116 in study module.This user satisfaction computing module 116, for receiving daily cost data and the electricity price data of data collection module 113 output, calculates the user satisfaction data of this intelligent body, and returns to data collection module 113.
When intelligent body control with study module in after adding users satisfaction computing module 116, intelligent body study module 112 can the learning rate of the satisfaction data intelligent computing agent of synthetic user simultaneously.
Below introduce a kind of concrete structure of intelligent body study module in detail, as shown in Figure 4, this intelligent body study module comprises intelligent body intrinsic information setting submodule 1121 and intelligent body learning rate calculating sub module 1122.Wherein, intelligent body intrinsic information setting submodule 1121 is for receiving background information data, and these background information data are sorted out quantitative analysis, calculate the intelligent body intrinsic information data that intelligent body learning rate is relevant, and be delivered to intelligent body learning rate calculating sub module 1122.
Intelligent body learning rate calculating sub module 1122, for receiving from the intelligent body intrinsic information setting intelligent body intrinsic information data of submodule 1121 and electricity price data, the daily cost data of this intelligent body, the historical behavior data from data collection module 113, calculates the learning rate of user behavior.
Above-mentioned background information data comprises: user's education degree, demand charge income ratio, user's awareness of saving energy etc.
When after intelligent body control with adding users satisfaction computing module 116 in study module, intelligent body learning rate calculating sub module 1122, in the process of learning rate calculating user behavior, goes back the user satisfaction data of cumulated volume intelligent body simultaneously.
In addition, the interchange between the intelligent body conveniently in overall user's responding system, controls at the intelligent body of intelligent body and can also increase communication module 115 in study module.The daily cost data that this communication module 115 exports for data collection module after primary colours 113, historical behavior data, and the intelligent body flowing to other intelligent bodies controls and study module, the intelligent body simultaneously receiving other intelligent bodies controls daily cost data and the historical behavior data of other intelligent bodies sended over study module.
After adding communication module 115, intelligent body study module 112 can also simultaneously with reference to electricity consumption behavior and the daily cost data of other users when calculating learning rate.
When intelligent body controls and comprise communication module 115 and user satisfaction computing module 116 in study module simultaneously, communication module 115 can also receive the user satisfaction data of other intelligent bodies that other intelligent bodies send over, correspondingly, intelligent body study module 112 can also simultaneously with reference to the satisfaction data of other users when calculating learning rate.
In the electricity consumption behavior of reality, the electricity consumption behavior being in the user of different conditions is also often different, therefore by the electricity consumption action process of intelligent body analog subscriber, is also necessary to consider the state model residing for user.Based on such consideration, the embodiment of the present invention preferably, control at intelligent body and also increase a mode selection module in study module, this mode selection module is for selecting the state model residing for intelligent body, now electricity consumption behavior computing module, when calculating the control signal to conventional consumer computing module group 13 and distributed energy computing module group 12, also considers the state model residing for intelligent body.
Above-mentioned state model can comprise: represent home mode that whether intelligent body be in, represent outer exit pattern that whether intelligent body go out, weekend mode that whether band bag intelligent body is in vacation or weekend, represent intelligent body whether install intelligent electric meter intelligent electric meter pattern, represent the power supply state pattern whether intelligent body obtains normal power supply.
The above is only the preferred embodiment of the present invention; it should be pointed out that for those skilled in the art, under the premise without departing from the principles of the invention; can also make some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.
Claims (6)
1. the intelligent body of the intelligent body of power consumer responding system controls and a study module, it is characterized in that, comprising: electricity consumption behavior computing module, intelligent body study module, data collection module, intelligent body total load and daily cost computing module;
Wherein, described intelligent body study module is used for the learning rate exporting intelligent body to electricity consumption behavior computing module;
Described electricity consumption behavior computing module is used for according to the history electricity consumption behavioral data of electricity price data, user, the historic load of user, calculate the conventional control signal of consumer computing module group and the control signal to distributed energy computing module group, export described control signal to data collection module, as the historical behavior data of this user simultaneously;
The generating data that described intelligent body total load and daily cost computing module export for the load data that receives conventional consumer computing module group and export and distributed energy computing module group, also receive the electricity price data that electricity price module exports, calculate total load and the daily cost of this intelligent body, and exported in data collection module;
The control signal data that the total load of the intelligent body that described data collection module exports for electricity price data, intelligent body total load and the daily cost computing module receiving electricity price module and export and daily cost and electricity consumption behavior computing module export.
2. the intelligent body of the intelligent body of power consumer responding system according to claim 1 controls and study module, it is characterized in that, also comprises:
User satisfaction computing module, for receiving daily cost data and the electricity price data of data collection module output, calculating the user satisfaction data of this intelligent body, and returning to data collection module.
3. the intelligent body of the intelligent body of power consumer responding system according to claim 1 controls and study module, and it is characterized in that, described intelligent body study module specifically comprises: intelligent body intrinsic information setting submodule and intelligent body learning rate calculating sub module;
Wherein, described intelligent body intrinsic information setting submodule is for receiving background information data, and these background information data are sorted out quantitative analysis, calculate the intelligent body intrinsic information data that intelligent body learning rate is relevant, and be delivered to intelligent body learning rate calculating sub module;
Described intelligent body learning rate calculating sub module, for receiving from the intelligent body intrinsic information setting intelligent body intrinsic information data of submodule and electricity price data, the daily cost data of this intelligent body, the historical behavior data from data collection module, calculates the learning rate of user behavior.
4. the intelligent body of the intelligent body of power consumer responding system according to claim 1 controls and study module, it is characterized in that, also comprises:
Communication module, for receiving daily cost data, historical behavior data that described data collection module exports, and the intelligent body flowing to other intelligent bodies controls and study module, and the intelligent body receiving other intelligent bodies controls daily cost data and the historical behavior data of other intelligent bodies sended over study module.
5. the intelligent body of the intelligent body of power consumer responding system according to claim 1 controls and study module, it is characterized in that, also comprises mode selection module, for selecting the state model residing for intelligent body; The state model of described electricity consumption behavior computing module also residing for intelligent body, calculates the conventional control signal of consumer computing module group and the control signal to distributed energy computing module group.
6. the intelligent body of the intelligent body of power consumer responding system according to claim 5 controls and study module, it is characterized in that, described state model comprises: represent home mode that whether intelligent body be in, represent outer exit pattern that whether intelligent body go out, represent intelligent body whether be in vacation or weekend weekend mode, represent intelligent body whether install intelligent electric meter intelligent electric meter pattern, represent the power supply state pattern whether intelligent body obtains normal power supply.
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Address after: 100052 Capital Building No. 8 Nanhengdong Street, Xicheng District, Beijing 1932 Co-patentee after: State Grid Corporation of China Patentee after: National Grid Energy Research Institute Co., Ltd. Address before: 100052 Capital Building No. 8 Nanhengdong Street, Xicheng District, Beijing 1932 Co-patentee before: State Grid Corporation of China Patentee before: State Grid Energy Research Institute |