CN109740897B - Power demand response evaluation method and device, storage medium and processor - Google Patents
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Abstract
The invention discloses an evaluation method and device of power demand response, a storage medium and a processor. The method comprises the following steps: acquiring a target power load curve of a power load in a target scene; determining the weight of a target evaluation index based on a target power load curve, wherein the target evaluation index is used for evaluating the power demand response under a target scene; determining a generalized distance between a target power load curve and an actual power load curve of the power load by the weight of the target evaluation index; the power demand response is evaluated over a generalized distance. According to the invention, the effect of reducing the cost for evaluating the power demand response is achieved.
Description
Technical Field
The invention relates to the field of power systems, in particular to a method and a device for evaluating power demand response, a storage medium and a processor.
Background
At present, with the development of information technology, the user load is regulated and controlled in an intelligent way, and a mode of ensuring the stable operation of a power grid is paid more and more attention. Among them, demand response is an effective technique.
Since the demand response can affect the normal electricity utilization of users, most users have certain exclusion psychology to the technology, which creates certain obstacles for the landing promotion of the demand response. As the last link of the demand response, the response evaluation is closely related to the subsidy of the user, and the participation will and the specific participation mode of the user are directly influenced.
The existing evaluation algorithm has different evaluation algorithms in different regions along with the development of demand response. Such different algorithms do not facilitate a uniform assessment of the response effect from a wider range; in addition, from the research and development cost perspective of the demand response system, different evaluation algorithms need to be designed in different regions, which undoubtedly increases the research and development cost of enterprises.
Aiming at the technical problem of low efficiency of evaluating power demand response in the prior art, no effective solution is provided at present.
Disclosure of Invention
The invention mainly aims to provide a method, a device, a storage medium and a processor for evaluating power demand response, so as to at least solve the technical problem of low efficiency of evaluating power demand response.
In order to achieve the above object, according to one aspect of the present invention, there is provided an evaluation method of a power demand response. The method comprises the following steps: acquiring a target power load curve of a power load in a target scene; determining the weight of a target evaluation index based on a target power load curve, wherein the target evaluation index is used for evaluating the power demand response under a target scene; determining a generalized distance between a target power load curve and an actual power load curve of the power load by the weight of the target evaluation index; the power demand response is evaluated over a generalized distance.
Optionally, the obtaining of the target power load curve of the power load in the target scenario includes one of: determining a predetermined power load curve as a target power load curve; acquiring a predicted power load curve obtained by predicting the power load, and reducing the numerical value in the predicted power load curve by a target numerical value to obtain a target power load curve; the target power load curve is determined by the power loads within the target threshold range or the power loads of the target load value.
Optionally, determining the generalized distance between the target power load curve and the actual power load curve of the power load by the weight of the target evaluation index includes obtaining the generalized distance by a first formula
Where p is used to represent the actual power load curve,
for representing a target power load curve, i for representing a point in time at which the power load is measured, wiA weight for representing a target evaluation index, n for representing the number of time points, and m for representing an index corresponding to a time point.
Alternatively, in the case where the target evaluation index is an evaluation index of the response speed of the power demand response, the index corresponding to the time point is a first value, and the weight w of the target evaluation index is obtained by the following second formulai：
Alternatively, in the case where the target evaluation index is an evaluation index of a response time period of the power demand response, the index corresponding to the time point is a first value, and the weight w of the target evaluation index is obtained by the following third formulai：
Alternatively, in the case where the target evaluation index is an evaluation index of the total reduced power amount of the power demand response, the index corresponding to the time point is a first value, and the weight w of the target evaluation indexiIs the second value.
Alternatively, in the case where the target evaluation index is an evaluation index of a response load amount of the power demand response or an evaluation index of a spike load, the index corresponding to the time point is a third value, and the weight w of the target evaluation index isiIs the second value.
Alternatively, in the case where the target evaluation index is an evaluation index of response speed of power demand response, an evaluation index of response time length, an evaluation index of total curtailed electricity amount, and the weight of the target evaluation index is obtained by the following fourth formula
Wherein, WTAnd wiIn response to this, the mobile terminal is able to,
a vector for representing a weight composed of the evaluation index of the response speed,
a vector for representing a weight of the evaluation index of the response time length,
vector for representing weight of evaluation index of total reduced electric quantity, cspeedFor representing
Coefficient of (c)durationFor representing
Coefficient of (c)kWhFor representing
The coefficient of (a).
Optionally, the evaluating the power demand response by the generalized distance includes obtaining data S evaluating the power demand response by a fifth formula as follows:
in order to achieve the above object, according to another aspect of the present invention, there is also provided an evaluation device of a power demand response. The device includes: the system comprises an acquisition unit, a processing unit and a control unit, wherein the acquisition unit is used for acquiring a target power load curve of a power load in a target scene; the first determination unit is used for determining the weight of a target evaluation index based on a target power load curve, wherein the target evaluation index is used for evaluating the power demand response under a target scene; a second determination unit configured to determine a generalized distance between a target power load curve and an actual power load curve of the power load by a weight of the target evaluation index; and the evaluation unit is used for evaluating the power demand response through the generalized distance.
In order to achieve the above object, according to another aspect of the present invention, there is also provided a storage medium. The storage medium includes a stored program, wherein the program, when executed, controls a device in which the storage medium is located to perform a method of evaluating a power demand response.
To achieve the above object, according to another aspect of the present invention, there is also provided a processor. The processor is configured to run a program, wherein the program when running performs the method of assessment of power demand response of an embodiment of the present invention.
According to the invention, a target power load curve of a power load in a target scene is obtained; determining the weight of a target evaluation index based on a target power load curve, wherein the target evaluation index is used for evaluating the power demand response under a target scene; determining a generalized distance between a target power load curve and an actual power load curve of the power load by the weight of the target evaluation index; the power demand response is evaluated over a generalized distance. Because the target power load curve is determined, on the basis, the weight of the target evaluation index is defined according to the characteristics of the target evaluation index of the power demand response in the target scene, the generalized distance between the target power load curve and the actual power load curve is obtained, the power demand response is evaluated through the generalized distance, the evaluation algorithm adapting to the demand response in different target scenes can be realized through adjusting the weight of the target evaluation index, different regions are avoided, different evaluation algorithms need to be designed, the local power demand response characteristics can be adaptively combined, the result of the demand response is evaluated, the technical problem of low efficiency of evaluating the power demand response is solved, and the technical effect of improving the efficiency of evaluating the power demand response is achieved.
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The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the invention and, together with the description, serve to explain the invention and not to limit the invention. In the drawings:
FIG. 1 is a flow chart of a method of evaluating power demand response according to an embodiment of the present invention;
FIG. 2 is a flowchart of a generalized distance-based method for evaluating a response effect of a single user demand according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a variation of a weighting factor according to an embodiment of the invention; and
fig. 4 is a schematic diagram of an evaluation device for power demand response according to an embodiment of the present invention.
Detailed Description
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present invention will be described in detail below with reference to the embodiments with reference to the attached drawings.
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be used. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
The embodiment of the invention provides an evaluation method of power demand response.
Fig. 1 is a flowchart of an evaluation method of a power demand response according to an embodiment of the present invention. As shown in fig. 1, the method comprises the steps of:
step S102, acquiring a target power load curve of the power load in a target scene.
In the technical solution provided in step S102 of the present invention, the target scene may be a demand response scene and a response evaluation scene of a target in the smart grid park, for example, a load fast-switching scene, and the initiator of the demand response may be a plurality of users participating in the demand response, such as a public institution, a data center, and a resident in the smart grid park. The target power load curve can be determined according to the demand of the demand response scene, and the target power load curve of the power load in the target scene is obtained.
Step S104, determining the weight of the target evaluation index based on the target power load curve.
In the technical solution provided in step S104 of the present invention, after the target power load curve of the power load in the target scene is obtained, the weight of the target evaluation index is determined based on the target power load curve. The target evaluation index, that is, the evaluation index of the demand response, is used for evaluating the power demand response in the target scene, and is a demand response scene combining multiple indexes, which may include an evaluation index of response speed, an evaluation index of response time length, an evaluation index of total reduced power, an evaluation index of response load capacity, or an evaluation index of spike load, where the demand response may mainly include several links such as load prediction, response event initiation, index decomposition, instruction execution, and response evaluation.
On the basis of the target load curve, the weight of the target evaluation index at each time point in the demand response period is determined, namely, the weight factor of each time point of the demand response is determined, so that the indexes of the regulation speed and the regulation quantity of the demand response can be considered, the demand response is comprehensively evaluated, and the demand response algorithm suitable for different scenes is realized. This embodiment may also determine the amplification index of the difference of each measurement point during the demand response.
And step S106, determining the generalized distance between the target power load curve and the actual power load curve of the power load through the weight of the target evaluation index.
In the present invention, after determining the weight of the target evaluation index based on the target power load curve, the generalized distance between the target power load curve and the actual power load curve of the power load is determined by the weight of the target evaluation index in the above-mentioned step S106. Wherein the actual power load curve is a power curve formed by loads that have been generated. For the characteristics of the target evaluation index, the embodiment defines the generalized distance between the target power load curve and the actual power load curve, can reserve several parameters in a calculation formula of the generalized distance, and can adapt the evaluation scheme of the demand response to different target scenarios, such as reserved weight and amplification index of difference values of various measurement points, by adjusting the parameters.
Optionally, the embodiment further determines the time points of measurement during the demand response period, the number of the measured time points, and the like, and establishes the calculation formula of the generalized distance by using the measured time points, the actual load curve, the target load curve, the weighting factor of each time point during the response period, the number of the measured time points, and the amplification index of the difference value of each measured point.
And step S108, evaluating the power demand response through the generalized distance.
In the technical solution provided in step S108 of the present invention, after the generalized distance between the target power load curve and the actual power load curve of the power load is determined by the weight of the target evaluation index, the power demand response is further evaluated by the generalized distance, an evaluation formula of the response effect may be established by the generalized distance, and an evaluation value of the demand response effect of the single user may be calculated by the evaluation formula, where the evaluation value may be a score, that is, the generalized distance is converted into a score, so as to evaluate the demand response effect of the single user, thereby implementing an evaluation algorithm of the demand response effect of the single user based on the generalized distance.
As an alternative implementation, in step S102, acquiring a target power load curve of the power load in the target scenario includes one of the following: determining a predetermined power load curve as a target power load curve; acquiring a predicted power load curve obtained by predicting the power load, and reducing the numerical value in the predicted power load curve by a target numerical value to obtain a target power load curve; the target power load curve is determined by the power loads within the target threshold range or the power loads of the target load value.
In this embodiment, in acquiring the target power load curve of the power load in the target scene, the power load curve may be directly specified by the demand response initiator, so that the predetermined power load curve is determined as the target power load curve.
Alternatively, when a target power load curve of the power load in a target scene is obtained, a predicted power load curve obtained by predicting the power load may be obtained, for example, before an instruction of a demand response is executed, a demand response system performs load prediction on a user to obtain a predicted power load curve, and a value in the predicted power load curve is reduced by a target value, for example, each point in an event segment of the demand response is reduced by a certain amount on the basis of the predicted load curve, so as to obtain the target power load curve.
Optionally, when acquiring a target power load curve of the power load in a target scene, the target power load curve is obtained by limiting the load, and the target power load curve may be determined by the power load within a target threshold range, for example, the load of a specified user must not exceed a certain range; or by determining a power load curve for the power load at the target load value, e.g. specifying that the load value must be 0.
As an alternative embodiment, determining the generalized distance between the target power load curve and the actual power load curve of the power load by the weight of the target evaluation index includes obtaining the generalized distance by the following first formula
Where p is used to represent the actual power load curve,
for representing a target power load curve, i for representing a point in time at which the power load is measured, wiA weight for representing a target evaluation index, n for representing the number of time points, and m for representing an index corresponding to a time point.
In this embodiment, the target is passedWhen the weight of the evaluation index determines the generalized distance between the target power load curve and the actual power load curve of the power load, a formula of the generalized distance can be established through the actual power load curve, the target power load curve, the time point for measuring the power load, the weight of the target evaluation index, the number of the time points, and the index corresponding to the time point
The number of the time points is the number of the measured time points, and the index corresponding to the time points is an amplification index of the difference value of each measuring point. At a generalized distance
In (1), weight w is reservediThe amplification index m of the difference value of each measuring point can be obtained by weighting wiAnd adjusting the amplification index m of the difference value of each measuring point, so that the evaluation scheme can adapt to different target demand response scenes.
As an alternative embodiment, in the case where the target evaluation index is an evaluation index of the response speed of the power demand response, the index corresponding to the time point is a first value, and the weight w of the target evaluation index is obtained by the following second formulai：
In this embodiment, the target evaluation index may be an evaluation index of the response speed of the power demand response, in which case the index m corresponding to the time point may be set to a first value, which may be 2. In this embodiment, since the evaluation index of the response speed of the demand response is an important index in the demand response evaluation process, the weight of the initial stage of the demand response may be set to a small number, and the time period parameter of the later stage may be set to a large number. Optionally, the weight w of the target evaluation indexiThe evaluation index of the response speed can be obtained by calculating the time point and the number of the time points for measuring the power load, for example, the evaluation index of the response speed is demand response evaluationThe evaluation index of unique concern in (1), then
That is, the evaluation index of the response speed may be obtained by
And (4) calculating.
As an alternative embodiment, in the case where the target evaluation index is an evaluation index of a response time period of the power demand response, the index corresponding to the time point is a first value, and the weight w of the target evaluation index is obtained by the following third formulai：
In this embodiment, the target evaluation index may be an evaluation index of a response time period of the power demand response, where the response time period is a response time length of the demand response, in which case the index m corresponding to the time point may be set to a first value, which may be 2, and the weight w of the target evaluation indexiThe evaluation index of the response time can be calculated by the time points and the number of the time points for measuring the power load, for example, the evaluation index of the response time is the only evaluation index concerned in the demand response evaluation, and the evaluation index of the response time can be calculated by the time points and the number of the time points for measuring the power load
And (4) calculating.
As an alternative embodiment, in the case where the target evaluation index is an evaluation index of the total reduced power amount of the power demand response, the index corresponding to the time point is a first value, and the weight w of the target evaluation index is a weight w of the power demand responseiIs the second value.
In this embodiment, the target evaluation index may be an evaluation index of a total curtailed electricity amount of the power demand response, and if the evaluation index of the total curtailed electricity amount is an evaluation index of only interest in the demand response evaluation, the index corresponding to the time point is set to a first value, which may be set to 2, and the target evaluation index may be an evaluation index of only interest in the demand response evaluationWeight w of target evaluation indexiSet to a second value, which may be set to 1.
As an alternative embodiment, in the case where the target evaluation index is an evaluation index of a response load amount of the power demand response or an evaluation index of a spike load, the index corresponding to the time point is a third value, and the weight w of the target evaluation index is a weight wiIs the second value.
In this embodiment, the target evaluation index may be an evaluation index of a response load amount of the power demand response or an evaluation index of a spike load. If the evaluation index of the response load amount or the evaluation index of the spike load is the evaluation index of only interest in the demand response evaluation, the index m corresponding to the time point is set to a third value. Since the difference between the actual load curve and the target load curve cannot be too large during load shedding, the index corresponding to the time point can be set to 8, and the weight w of the target evaluation indexiSet to a second value, e.g., 1.
As an alternative embodiment, in the case where the target evaluation index is an evaluation index of response speed of power demand response, an evaluation index of response time length, and an evaluation index of total reduced power amount, the weight of the target evaluation index is obtained by the following fourth formula
Wherein, WTAnd wiIn response to this, the mobile terminal is able to,
a vector composed of weights representing evaluation indexes of response speed can be obtained by
The calculation results in that,
the vector composed of the weights of the evaluation indexes of the response time length can be expressed by
The calculation results in that,
the vector for representing the weight of the evaluation index of the total reduced power can be composed of wiObtained as 1, cspeedFor representing
Coefficient of (c)durationFor representing
Coefficient of (c)kWhFor representing
The coefficient of (a).
In this embodiment, if the demand response evaluation system focuses on a plurality of target evaluation indexes, such as an evaluation index focusing on the response speed, an evaluation index focusing on the response time period, and an evaluation index of the total reduction power amount, it is possible to pass through a vector composed of the weights of the evaluation indexes of the response speed
Vector consisting of weights of evaluation indicators of response duration
Vector consisting of weights of evaluation indicators of total curtailment power
And a coefficient c of a vector composed of weights of evaluation indexes of response speedspeedCoefficient c of a vector composed of weights of evaluation indexes of response time lengthdurationCoefficient c of vector composed of weights of evaluation indexes of total reduction electric quantitykWhObtaining the weight of the target evaluation index
Wherein the coefficient c of the vector is composed of the weight of the evaluation index of the response speedspeedCoefficient c of a vector composed of weights of evaluation indexes of response time lengthdurationCoefficient c of vector composed of weights of evaluation indexes of total reduction electric quantitykWhThe target evaluation index weight can be specified by a demand response initiator, for example, by various users such as public institutions, data centers and residents in the smart grid park, and the weight of the target evaluation index is also the weight factor of the comprehensive evaluation index.
As an alternative embodiment, the evaluating the power demand response by the generalized distance includes obtaining data S evaluating the power demand response by the following fifth formula:
in this embodiment, after determining the generalized distance between the target power load curve and the actual power load curve of the power load by the weight of the target evaluation index, and evaluating the power demand response by the generalized distance, a fifth formula may be established to evaluate the power demand response, for example, by evaluating the score
The power demand response is evaluated, namely, the generalized distance between the target power load curve and the actual power load curve is converted into a score, and the evaluation of the single-user demand response effect can be realized through the score.
The embodiment is a generalized distance-based single-user demand response effect evaluation algorithm, and mainly aims at users participating in demand response, parameters of demand response evaluation are confirmed according to the scene of demand response and the characteristics of target evaluation indexes such as an evaluation index of response speed, an evaluation index of response time, an evaluation index of response load quantity, an evaluation index of total reduction electric quantity, an evaluation index of peak load and the like are comprehensively considered, so that the algorithm is suitable for different scenes, the problem of differentiation of evaluation methods under different scenes is solved, automation and intellectualization of demand response evaluation are realized, the technical effect of improving the efficiency of evaluating the demand response is achieved, and further the research and development cost of enterprises is reduced.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different than presented herein.
Example 2
The technical solution of the present invention will be described below by way of example with reference to preferred embodiments.
The embodiment is a generalized distance-based single-user demand response effect evaluation algorithm, the characteristics of evaluation indexes such as response speed, response time length, response load, total reduction electric quantity, peak load and the like are comprehensively considered, and evaluation of the single-user demand response effect is realized in a smart grid park according to the characteristics of different demand response scenes; in implementation, an evaluation formula of response effect is established by confirming the weights of different factors. To enable assessment of the effect of demand response.
Fig. 2 is a flowchart of a generalized distance-based single-user demand response effect evaluation method according to an embodiment of the present invention. As shown in fig. 2, the method comprises the steps of:
in step S201, a target load curve is determined.
When the target load curve is determined, the target load curve can be directly specified by a demand response initiator; before the demand response instruction is executed, the demand response system carries out load prediction on the user to obtain the demand response instruction, and each point in an event section of demand response can be reduced by a certain amount on the basis of predicting a load curve to obtain a target load curve; the load may be limited, it is specified that the load of the user does not exceed a certain range, or that the specified load value must be 0.
In step S202, the evaluation parameters of the demand response are calculated.
In this embodiment, if the response speed is an evaluation index that is the only concern of the demand response system, the amplification exponent m of the difference value of each measurement point of the demand response may be set to 2, and the weighting factor at each time point during the demand response may be set to 2
Wherein i is used to indicate the time point of measurement, and n is used to indicate the number of measurement points.
Fig. 3 is a schematic diagram of a variation of a weighting factor according to an embodiment of the present invention. As shown in fig. 3, since the response speed is an important index for evaluating the demand response, the weight of the initial stage of the demand response may be set to a small number, and the weight corresponding to the time period parameter of the later stage may be set to a large number, so that the line graph of the weight factor shown in fig. 3 may be obtained.
Alternatively, if the length of the response time is an evaluation index of only concern to the demand response system, m may be set to 2 and w may be set toiThe method comprises the following steps:
alternatively, if the total curtailed electricity amount is an evaluation index that is the only concern of the demand response system, m may be set to 2, and w may be set toiIs set to 1.
Alternatively, if the response load amount or the peak load is an evaluation index of only concern of the demand response system. Alternatively, since the difference between the actual load and the target load cannot be made too large during load shedding, the amplification index m may be set to 8, and w may be set toiIs set to 1.
Alternatively, if the demand response system is concerned with multiple metrics, the weights are set according to the following formula:
wherein the content of the first and second substances,
the vectors respectively representing the weight factors of the response speed, the response time length and the total reduction electric quantity can be respectively based on
wi1-out, cspeed、cduration、ckWhThe coefficients respectively used for representing three weight vectors of response speed, response time length and total reduction electric quantity can be specified by a demand response initiator. WTFor representing the integrated weight factor.
Step S203, a generalized distance between the target load curve and the actual load curve is calculated.
This embodiment may be implemented by
Calculating the generalized distance, w, between the target load curve and the actual load curveiCan be reacted with the above-mentioned WTAnd correspondingly. Wherein i is used to indicate the time point of measurement. p is used to represent the actual load curve,
for representing a target load curve, wiFor the weighting factors used to represent each time point during the demand response, n is used to represent the number of measurement points, and m is used to represent the amplification index of the difference value of each measurement point.
In step S204, an evaluation score of the demand response is calculated.
After the generalized distance between the target load curve and the actual load curve is obtained, the effect of the participation of the single user in the demand response can be calculated
And (4) calculating.
Optionally, in the embodiment, under a scene of fast load switching, evaluation of the single-user demand response effect is achieved through three links of determining a target load curve, determining a generalized distance parameter and calculating a score.
The embodiment specifies the weight factor parameters aiming at the demand response scene with the load fast switching as the target, can give consideration to the indexes of two aspects of the regulation speed and the regulation quantity of the demand response, and obtains the evaluation result of the demand response of the single user through comprehensive evaluation in the demand response period.
The embodiment is an effective, practical and scientific evaluation algorithm of the single-user demand response effect based on the generalized distance, and can be adaptive to evaluation schemes of different demand response scenes. The algorithm provides a method for identifying a target load curve, and on the basis, the generalized distance between curves is defined according to the characteristics of common evaluation indexes. Several parameters are reserved in the generalized distance, and the evaluation scheme can adapt to different scenes by adjusting the parameters. Finally, the evaluation of the demand response effect of the single user can be realized by converting the distance into the score, so that the method is suitable for various users such as public institutions, data centers and residents in the intelligent power grid park, and is favorable for improving the enthusiasm of power users for participating in demand response.
Compared with the prior art, the embodiment inspects the demand response evaluation scene of the single user, realizes the evaluation algorithm of the demand response effect of the single user based on the generalized distance, fully exerts the advantages of the intelligent power grid park in the aspect of calculation, overcomes the differentiation problem of evaluation methods in different scenes, realizes the automation and the intellectualization of the demand response evaluation, and improves the efficiency of evaluating the power demand response.
Example 3
The embodiment of the invention also provides an evaluation device for the power demand response. It should be noted that the evaluation device of the power demand response of the embodiment may be used to execute the evaluation method of the power demand response of the embodiment of the present invention.
Fig. 4 is a schematic diagram of an evaluation device for power demand response according to an embodiment of the present invention. As shown in fig. 4, the apparatus further includes: an acquisition unit 10, a first determination unit 20, a second determination unit 30 and an evaluation unit 40.
The acquiring unit 10 is configured to acquire a target power load curve of the power load in a target scene.
The first determination unit 20 is configured to determine a weight of a target evaluation index based on a target power load curve, where the target evaluation index is used for evaluating a power demand response in a target scenario.
A second determination unit 30 for determining a generalized distance between the target power load curve and the actual power load curve of the power load by the weight of the target evaluation index.
And the evaluation unit 40 is used for evaluating the power demand response through the generalized distance.
Optionally, the obtaining unit 10 comprises one of: a first determination module for determining a predetermined power load curve as a target power load curve; the processing module is used for acquiring a predicted power load curve obtained by predicting the power load, and reducing the numerical value in the predicted power load curve by a target numerical value to obtain a target power load curve; a second determination module to determine a target power load profile from the power loads within the target threshold range or for the target load value.
Optionally, the second determination unit 30 is configured to obtain the generalized distance by the following first formula
Where p is used to represent the actual power load curve,
for representing a target power load curve, i for representing a point in time at which the power load is measured, wiA weight for representing a target evaluation index, n for representing the number of time points, and m for representing a point corresponding to a time pointAnd (4) index.
Alternatively, in the case where the target evaluation index is an evaluation index of the response speed of the power demand response, the index corresponding to the time point is a first value, and the second determination unit 30 obtains the weight w of the target evaluation index by the following second formulai：
Alternatively, in the case where the target evaluation index is an evaluation index of a response time period of the power demand response, the index corresponding to the time point is a first value, and the second determining unit 30 obtains the weight w of the target evaluation index by the following third formulai：
Alternatively, in the case where the target evaluation index is an evaluation index of the total reduced power amount of the power demand response, the index corresponding to the time point is a first value, and the weight w of the target evaluation indexiIs the second value.
Alternatively, in the case where the target evaluation index is an evaluation index of a response load amount of the power demand response or an evaluation index of a spike load, the index corresponding to the time point is a third value, and the weight w of the target evaluation index isiIs the second value.
Alternatively, in the case where the target evaluation index is an evaluation index of response speed of power demand response, an evaluation index of response speed, an evaluation index of total curtailed electricity amount, and the second determination unit 30 obtains the weight w of the target evaluation index by the following fourth formulai：
Wherein, WTAnd wiIn response to this, the mobile terminal is able to,
a vector for representing a weight composed of the evaluation index of the response speed,
a vector for representing a weight of the evaluation index of the response time length,
vector for representing weight of evaluation index of total reduced electric quantity, cspeedFor representing
Coefficient of (c)durationFor representing
Coefficient of (c)kWhFor representing
The coefficient of (a).
Alternatively, the evaluation unit 40 obtains the data S for evaluating the power demand response by the following fifth formula:
the embodiment acquires a target power load curve of a power load in a target scene through the acquisition unit 10, determines a weight of a target evaluation index for evaluating a power demand response in the target scene based on the target power load curve through the first determination unit 20, determines a generalized distance between the target power load curve and an actual power load curve of the power load through the weight of the target evaluation index through the second determination unit 30, and evaluates the power demand response through the generalized distance through the evaluation unit 40. Because the target power load curve is determined, on the basis, the weight of the target evaluation index is defined according to the characteristics of the target evaluation index of the power demand response in the target scene, the generalized distance between the target power load curve and the actual power load curve is obtained, the power demand response is evaluated through the generalized distance, the evaluation algorithm adapting to the demand response in different target scenes can be realized through adjusting the weight of the target evaluation index, different regions are avoided, different evaluation algorithms need to be designed, the local power demand response characteristics can be adaptively combined, the result of the demand response is evaluated, the technical problem of low efficiency of evaluating the power demand response is solved, and the technical effect of improving the efficiency of evaluating the power demand response is achieved.
Example 4
The embodiment of the invention also provides a storage medium. The storage medium includes a stored program, wherein the apparatus in which the storage medium is located is controlled to execute the evaluation method of the power demand response in the embodiment of the present invention when the program is executed.
Example 5
The embodiment of the invention also provides a processor. The processor is configured to execute a program, where the program executes the method for evaluating a power demand response according to the embodiment of the present invention.
It will be apparent to those skilled in the art that the modules or steps of the present invention described above may be implemented by a general purpose computing device, they may be centralized on a single computing device or distributed across a network of multiple computing devices, and they may alternatively be implemented by program code executable by a computing device, such that they may be stored in a storage device and executed by a computing device, or fabricated separately as individual integrated circuit modules, or fabricated as a single integrated circuit module from multiple modules or steps. Thus, the present invention is not limited to any specific combination of hardware and software.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (11)
1. A method for evaluating a power demand response, comprising:
acquiring a target power load curve of a power load in a target scene;
determining a weight of a target evaluation index based on the target power load curve, wherein the target evaluation index is used for evaluating power demand response under the target scene;
determining a generalized distance between the target power load curve and an actual power load curve of the power load by a weight of the target evaluation index, wherein the generalized distance is calculated by a time point measured during a demand response period, the actual load curve, a target load curve, a weight factor at each time point during the response period, a number of measured time points, and an amplification index of a difference value of each measurement point;
evaluating the power demand response by converting the generalized distance into a score,
determining the generalized distance between the target power load curve and the actual power load curve of the power load by the weight of the target evaluation index includes obtaining the generalized distance by a first formula
Wherein p is used to represent the actual electrical load curve,
for representing the target power load curve, i for representing the point in time at which the power load is measured, wiA weight for representing the target evaluation index, n for representing the number of the time points, and m for representing an index corresponding to the time point.
2. The method of claim 1, wherein obtaining a target power load curve for a power load at a target scenario comprises one of:
determining a predetermined power load curve as the target power load curve;
acquiring a predicted power load curve obtained by predicting the power load, and reducing a numerical value in the predicted power load curve by a target numerical value to obtain a target power load curve;
determining the target power load curve by the power loads within a target threshold range or the power loads at a target load value.
3. The method according to claim 1, wherein in the case where the target evaluation index is an evaluation index of the response speed of the power demand response, the index corresponding to the time point is a first value, and the weight w of the target evaluation index is obtained by a second formulai：
4. The method according to claim 1, wherein in the case where the target evaluation index is an evaluation index of a response time period of the power demand response, the index corresponding to the time point is a first value, and the weight w of the target evaluation index is obtained by a third formulai：
5. The method according to claim 1, wherein in the case where the target evaluation index is an evaluation index of a total curtailed electricity amount of the power demand responseThe index corresponding to the time point is a first value, and the weight w of the target evaluation indexiIs the second value.
6. The method according to claim 1, wherein, in a case where the target evaluation index is an evaluation index of a response load amount of the power demand response or an evaluation index of a spike load, the index corresponding to the time point is a third value, and a weight w of the target evaluation index isiIs the second value.
7. The method according to claim 1, wherein in the case where the target evaluation index is an evaluation index of a response speed, an evaluation index of a response time period, an evaluation index of a total curtailed electric power amount of the power demand response, and the weight w of the target evaluation index is obtained by a fourth formulai：
Wherein, WTAnd wiIn response to this, the mobile terminal is able to,
a vector for representing a weight of the evaluation index of the response speed,
a vector for representing a weight of the evaluation index of the response time length,
a vector for representing the weight of the evaluation index of the total curtailed electricity amount, cspeedFor representing
Coefficient of (c)durationFor representing
Coefficient of (c)kWhFor representing
The coefficient of (a).
8. The method according to claim 1, wherein evaluating the power demand response by the generalized distance includes obtaining data evaluating the power demand response by a fifth formula:
9. an apparatus for evaluating a power demand response, comprising:
the system comprises an acquisition unit, a processing unit and a control unit, wherein the acquisition unit is used for acquiring a target power load curve of a power load in a target scene;
a first determination unit, configured to determine a weight of a target evaluation index based on the target power load curve, where the target evaluation index is used for evaluating a power demand response in the target scenario;
a second determination unit configured to determine a generalized distance between the target power load curve and an actual power load curve of the power load by a weight of the target evaluation index, wherein the generalized distance is calculated by a time point measured during a demand response period, the actual load curve, the target load curve, a weight factor at each time point during the response period, a number of measured time points, and an amplification index for a difference value at each measurement point;
an evaluation unit for evaluating the power demand response by converting the generalized distance into a score,
the second determination sheet is obtained by the following first formulaTaking a generalized distance
Wherein p is used to represent the actual electrical load curve,
for representing the target power load curve, i for representing the point in time at which the power load is measured, wiA weight for representing the target evaluation index, n for representing the number of the time points, and m for representing an index corresponding to the time point.
10. A storage medium, comprising a stored program, wherein the program, when executed, controls an apparatus in which the storage medium is located to perform the method of any one of claims 1 to 8.
11. A processor, characterized in that the processor is configured to run a program, wherein the program when running performs the method of any of claims 1 to 8.
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