CN113489065B - Method and device for acquiring aggregate demand response potential value and electronic equipment - Google Patents
Method and device for acquiring aggregate demand response potential value and electronic equipment Download PDFInfo
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- CN113489065B CN113489065B CN202110763255.3A CN202110763255A CN113489065B CN 113489065 B CN113489065 B CN 113489065B CN 202110763255 A CN202110763255 A CN 202110763255A CN 113489065 B CN113489065 B CN 113489065B
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
- H02J3/466—Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
- H02J3/14—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
- H02J3/144—Demand-response operation of the power transmission or distribution network
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
- Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
- Y02B70/3225—Demand response systems, e.g. load shedding, peak shaving
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
- Y04S20/20—End-user application control systems
- Y04S20/222—Demand response systems, e.g. load shedding, peak shaving
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Abstract
The application discloses a method, a device, electronic equipment and a computer readable storage medium for acquiring an aggregate demand response potential value, which comprise the following steps: acquiring historical electricity utilization data of each user, and determining an electricity utilization mode of each user according to the historical electricity utilization data; determining each target electricity utilization mode with demand response potential according to the electricity utilization mode of each user; determining a demand response potential value of a user with demand response potential in each target electricity utilization mode; and superposing the demand response potential values of the users in the power utilization modes of the targets to obtain an aggregate demand response potential value. According to the method, the demand response potential value is obtained through carrying out adjustable capability assessment on the users belonging to the same target electricity utilization mode, and then the total demand response potential value, namely the aggregate demand response potential value, so that the accuracy and the accuracy of the aggregate demand response potential value can be effectively improved, the adjustment capability of a load side in the intelligent power grid is improved, and the stable operation of the power grid is facilitated.
Description
Technical Field
The present application relates to the field of smart power grids, and in particular, to a method and apparatus for acquiring an aggregate demand response potential value, an electronic device, and a computer readable storage medium.
Background
With the continuous improvement of the modernization level, the renewable energy source is developed greatly, and the improvement of the utilization efficiency of the energy source has become social consensus. Solar power generation and wind power generation are widely popularized. At present, the active regulation capability of a 'power supply side' in a high-proportion renewable energy power grid is degraded, and the stable and safe operation of the power grid is not favored by only depending on the regulation of the power supply side. Therefore, in order to ensure safe and effective operation of the power grid, it is imperative to develop the load side regulation capability.
In the current scheme based on load aggregate resources, the demand response adjustable capacity assessment is uniformly carried out on each user, and because the power consumption modes of each user are different, the adjustable capacity is greatly different, and the system has great instability and uncertainty, the aggregate demand response adjustable capacity assessment result obtained in the mode is far different from the actual result, the implementation of aggregate service is not facilitated, and the regulation potential of the load side is not facilitated to be mined.
Disclosure of Invention
Accordingly, the present application is directed to a method, an apparatus, an electronic device, and a computer readable storage medium for acquiring an aggregate demand response potential value, which can make the acquired aggregate demand response potential value more stable, effectively improve the accuracy and precision of the aggregate demand response potential value, improve the adjustment capability of a load side in a smart grid, and facilitate the stable operation of the grid. The specific scheme is as follows:
in a first aspect, the application discloses a method for acquiring an aggregate demand response potential value, which comprises the following steps:
acquiring historical electricity utilization data of each user, and determining an electricity utilization mode of each user according to the historical electricity utilization data;
determining each target electricity utilization mode with demand response potential according to the electricity utilization modes of each user;
determining a demand response potential value of a user with demand response potential in each target electricity utilization mode;
and superposing the demand response potential values of the users in the target electricity utilization mode to obtain an aggregate demand response potential value.
Optionally, the determining the electricity consumption mode of each user according to the historical electricity consumption data includes:
clustering the load curves generated by the historical electricity utilization data by using a clustering algorithm to obtain a clustering result;
and determining the electricity utilization mode of each user according to the clustering result.
Optionally, before determining the demand response potential value of the user having the demand response potential in each of the target electricity usage modes, the method further includes:
determining potential users with demand response potential in each target electricity utilization mode;
and determining the peak-valley difference of the load curve corresponding to the potential user, and taking the potential user with the peak-valley difference larger than a preset threshold value as the user with the demand response potential.
Optionally, the determining a demand response potential value of the user having the demand response potential in each of the target electricity usage modes includes:
acquiring response electricity utilization data of the user with the demand response potential under the demand response request;
determining the average load reduction rate and the user responsiveness of the user according to the response electricity consumption data;
and determining a demand response potential value of the user with the demand response potential according to the historical electricity consumption data of the user, the average load shedding rate and the user responsiveness.
Optionally, the method further comprises:
making an initial demand response plan;
adding PTR incentive strategy, L-PTR incentive strategy and CCP incentive strategy to the initial demand response plan, and generating the demand response request.
In a second aspect, the application discloses an acquisition device for aggregate demand response potential values, which comprises:
the acquisition module is used for acquiring historical electricity utilization data of each user and determining an electricity utilization mode of each user according to the historical electricity utilization data;
the first determining module is used for determining a target electricity utilization mode with a demand response potential according to the electricity utilization modes of the users;
the second determining module is used for determining a demand response potential value of the user with the demand response potential in each target electricity utilization mode;
and the superposition module is used for superposing the demand response potential values of the users in the target electricity utilization mode to obtain an aggregate demand response potential value.
Optionally, the first determining module includes:
the clustering unit is used for clustering the load curves generated by the historical electricity utilization data by using a clustering algorithm to obtain a clustering result;
and the first determining unit is used for determining the electricity utilization mode of each user according to the clustering result.
Optionally, the method further comprises:
the third determining module is used for determining potential users with demand response potential in each target electricity utilization mode;
and the fourth determining module is used for determining the peak-valley difference of the load curve corresponding to the potential user and taking the potential user with the peak-valley difference larger than a preset threshold value as the user with the demand response potential.
In a third aspect, the present application discloses an electronic device, comprising:
a memory for storing a computer program;
and the processor is used for realizing the steps of the acquisition method of the aggregate demand response potential value when executing the computer program.
In a fourth aspect, the present application discloses a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the method for obtaining aggregate demand response potential values as described above.
The application provides a method for acquiring an aggregate demand response potential value, which comprises the following steps: acquiring historical electricity utilization data of each user, and determining an electricity utilization mode of each user according to the historical electricity utilization data; determining each target electricity utilization mode with demand response potential according to the electricity utilization modes of each user; determining a demand response potential value of a user with demand response potential in each target electricity utilization mode; and superposing the demand response potential values of the users in the target electricity utilization mode to obtain an aggregate demand response potential value.
Therefore, in the application, each target electricity utilization mode with demand response potential is determined according to the electricity utilization mode of each user, then the demand response potential value under each target electricity utilization mode is determined, and then the aggregate demand response potential value is obtained, namely, the demand response potential value is obtained by carrying out adjustable capability evaluation on users belonging to the same target electricity utilization mode, and then the total demand response potential value, namely, the aggregate demand response potential value is obtained, so that the obtained aggregate demand response potential value is more stable, the direct demand response evaluation on each user in the related technology is avoided, the demand response potential value is obtained, the obtained aggregate demand response potential value is unstable due to the fact that the electricity utilization modes of all users are different, the adjustable capability difference is large, the defect of exerting the regulation potential of the load side is not facilitated, the accuracy and the accuracy of the aggregate demand response potential value can be effectively improved, the regulation capability of the load side in the intelligent power grid is improved, and the stable operation of the power grid is facilitated. The application also provides an acquisition device for the aggregate demand response potential value, an electronic device and a computer readable storage medium, which have the beneficial effects and are not repeated herein.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only embodiments of the present application, and that other drawings can be obtained according to the provided drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flowchart of a method for obtaining aggregate demand response potential values according to an embodiment of the present application;
FIG. 2 is a flow chart of a demand response potential evaluation according to an embodiment of the present application;
FIG. 3 is a diagram of an overall architecture for demand response potential assessment provided by embodiments of the present application;
fig. 4 is a schematic structural diagram of an apparatus for acquiring aggregate demand response potential value according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
At present, in the analysis method for evaluating the adjustable potential of the aggregate demand response resource, the demand response adjustable potential is uniformly evaluated for users, but because the power consumption modes of all users are different, the difference of the adjustable potential is large, so that the aggregate demand response potential value of the energy client is unstable in result and large in difference from the actual result, and the adjustable capability of the load side in the power grid is not facilitated.
Based on the above technical problems, the present embodiment provides a method for acquiring an aggregate demand response potential value, which can make the acquired aggregate demand response potential value more stable, can effectively improve the accuracy and precision of the aggregate demand response potential value, and improve the adjustment capability of a load side in a smart grid, and referring specifically to fig. 1, fig. 1 is a flowchart of the method for acquiring an aggregate demand response potential value provided by the embodiment of the present application, and specifically includes:
s101: and acquiring historical electricity utilization data of each user, and determining an electricity utilization mode of each user according to the historical electricity utilization data.
The present embodiment is not limited to the specific type of each user, and may be a commercial user, such as a large mall, an industrial user, or a residential user. It is understood that the historical electricity usage data in the present embodiment refers to electricity usage data under the unexecuted demand response plan. The embodiment is not limited to a specific type of electricity consumption mode, and may be a mode in which the middle presents a trough, the two sides present a peak, and the two sides present a trough, and the specific electricity consumption mode is determined according to electricity consumption data of a user. In this embodiment, the specific process of determining the power consumption mode of each user is not limited, and the power consumption mode may be determined by using a manual identification manner, or may be determined by using a clustering manner.
In a specific embodiment, determining the power usage pattern of each user based on the historical power usage data may include:
clustering load curves generated by the historical electricity consumption data by using a clustering algorithm to obtain a clustering result;
and determining the electricity utilization mode of each user according to the clustering result.
In the embodiment, the historical electricity utilization data is clustered by using a clustering algorithm to obtain a clustering result, and then the electricity utilization mode of each user is determined according to the clustering result. The embodiment is not limited to the specific clustering algorithm adopted, and can be selected according to actual conditions. After the electricity utilization mode is determined through the clustering algorithm, different types of electricity utilization modes are obtained, then demand response adjustable potential evaluation is carried out on the same type of electricity utilization mode, and the obtained aggregate demand response potential value is more accurate, so that the load side adjustable potential can be exerted.
S102, determining each target electricity utilization mode with demand response potential according to the electricity utilization mode of each user.
It can be appreciated that after the electricity consumption modes of the users are obtained, not all types of electricity consumption modes are suitable for executing the demand response plan, so the embodiment further determines the target electricity consumption mode with the demand response potential after determining the different types of electricity consumption modes. For example, the user type is an industrial user, who is not suitable for adjusting the electricity usage behavior, i.e. for executing the demand response program, because the production activities have to be performed during the day.
S103, determining a demand response potential value of the user with the demand response potential in each target electricity utilization mode.
After determining the target electricity usage patterns, the present embodiment determines the demand response potential values of users having demand response potentials in the respective target electricity usage patterns. It will be appreciated that users who belong to the target electricity usage mode may be considered to have demand response adjustable potential, or users who belong to the target demand response mode may not all have demand response potential, so there is a need to further identify users who have demand response potential in the target electricity usage mode. The embodiment is not limited to a specific manner of determining the demand response potential value of the user having the demand response potential value, and may be set according to actual situations.
In a specific embodiment, determining the demand response potential value of the user having the demand response potential in each target electricity usage mode may include:
acquiring response electricity utilization data under a user execution demand response request with demand response potential;
determining the average load reduction rate and the user responsiveness of the user according to the response power application data;
and determining a demand response potential value of the user with the demand response potential according to the historical electricity consumption data of the user, the average load reduction rate and the user responsiveness.
Firstly, obtaining response electricity consumption data of a user with demand response potential under the condition of executing a demand response request, namely the electricity consumption data generated after the user executes the demand response request; then, obtaining the average load reduction rate and the user responsiveness of the user under the demand response request according to the response application data; then, the historical electricity consumption data of the non-executed demand response request is multiplied by the average load reduction rate and the user responsiveness of the user under the execution of the demand response request to obtain a peak load reduction amount, namely a demand response potential value.
In a specific embodiment, in order to make the obtained demand response potential value of the user more stable and more beneficial to exerting the adjustability of the load side, before determining the demand response potential value of the user with the demand response potential in each target power consumption mode, the method may further include:
determining potential users with demand response potential in each target electricity utilization mode;
and determining the peak-valley difference of the load curve corresponding to the potential user, and taking the potential user with the peak-valley difference larger than the preset threshold value as the user with the demand response potential.
In this embodiment, a potential user with a demand response potential in each target electricity consumption mode is determined first, then a peak-valley difference of a load curve corresponding to the potential user is determined, and if the peak-valley difference is greater than a preset threshold, the potential user is determined to be a user with the demand response potential. The embodiment is not limited to the specific size of the preset threshold, and may be set according to practical situations. The user with the demand response potential in the target user mode is further determined, the demand response potential value of the user is further determined, and the obtained result is more stable and is more beneficial to exerting the adjustable capacity of the load side.
It will be appreciated that the demand response request includes motivational measures/menus for directing the energy user to contribute to the demand response DR. The present embodiment does not limit the kind and number of incentive measures included in the demand response request, but of course, the more kinds of incentive measures included in the demand response request, the more advantageous the user contributes to DR.
In a specific embodiment, in order to attract more user contribution DR, and to be more beneficial to exciting the adjustment potential of the load side, before obtaining the response electricity utilization data of the user with the demand response potential under the execution demand response request, the method may further include:
making an initial demand response plan;
and adding the PTR incentive strategy, the L-PTR incentive strategy and the CCP incentive strategy into the initial demand response plan to generate a demand response request.
After an initial demand response plan is established, various incentive measures, namely a PTR incentive strategy, an L-PTR incentive strategy and a CCP incentive strategy are added into the initial demand response plan, and a final demand response request is obtained. By adding more incentive strategies to demand response requests, more user contribution DR can be attracted, which is more beneficial to motivate the regulation potential of the load side. Wherein rush hour rebate (PTR incentive strategy): the excitation is proportional to the reduced power consumption capability; capacity commitment plan (CCP incentive strategy): this menu is a continuous incentive for the target to reduce power consumption.
The following provides a specific embodiment regarding DR corresponding to the power price P and the incentive price Q for each incentive measure:
(1) If the demand response is not active:
P＝αX
Q＝0
(2) For DR with PTR incentive strategy:
P＝(α+β)X+δ(X≤Xb)
P＝αX(X＞Xb)
Q＝αX-P
δ＝-βXb
using the relaxation variables X2 and X3, the following expression is obtained:
P＝(α+β)X2+αX3+δ
0≦X2≦Xb
0≦X3
(3) For DR with L-PTR incentive strategy:
P＝αX+δ(X≦Xa)
P＝αXa+(α+β)(X-Xa)+δ
＝(α+β)X-βXb(Xa＜X≦Xb)
P＝αX
Q＝αX-P
using the relaxation variables X1, X2 and X3, the following expression can be obtained
P＝αX1+(α+β)X2+αX3+δ
0≦X1≦Xa
0≦X2≦Xb-Xa＝Xc
0≦X3
(4) For DR with CCP excitation strategy:
P＝αX+δ(X≦Xa)
P＝αX(X＞Xa)
Q＝αX-P
δ＝-γ
using the relaxation variables X1, X2 and X3, the following expression can be obtained:
P＝α(X1+X2+X3)+γL+δ
IfX≦Xa ThenL＝0ElseL＝1
0≦X1≦Xa
0≦X2≦Xb-Xa＝Xc
0≦X3
in these equations with relaxation variables, the relationship between X and X1, X2, X3 is as follows:
X＝X1+X2+X3
in other words, in the alternative,
X＝X1(X≦Xa)
X＝Xa+X2(Xa＜X≦Xb)
X＝Xb+X3(Xb＜X)
the aggregator can determine the optimal schedule of Xc, i.e. the target value of DR, from the incentive price Q as a solution to the following optimization problem.
J≤Q * -ε
Wherein, alpha: price of electric power energy (marginal cost);
beta: reduced incentive price per energy customer-defined self-baseline electrical energy;
gamma: a fixed incentive price for the target reduction of electrical energy Xc relative to a reference (CCP);
delta: parameters for adjusting the benchmark prices for each energy customer;
x: the power consumption of the energy clients;
x1, X2, X3: a relaxation variable related to the power consumption X;
xb: a reference for power consumption;
xc: as a target value of the power consumption reduction amount of DR (L-PTR, CCP);
xa=xb-Xc: target values for reduced power consumption caused by DR (L-PTR, CCP);
l= [0,1]: for CCP, an integer variable. If DR target is reached, l=0, otherwise l=1.
The power consumption of the ith energy client is predicted at time t;
y i (t) at time t, the actual power consumption of the ith energy consumer decreases;
X * c, the total electric energy reduction of the demand response target;
Q * if the user reaches the target demand response amount, the incentive price is obtained.
S104, superposing the demand response potential values of the users in the target electricity utilization mode to obtain an aggregate demand response potential value.
It can be understood that the aggregate demand response potential value in this embodiment is the sum of the demand response potential values of the users in each target electricity consumption mode. The embodiment does not limit the specific acquisition process of the aggregate demand response potential value, and may be that the sum of the demand response potential values of all users with demand response potential in the same target demand mode is determined first, and then the sum of the demand response potential values in each target user mode is superimposed to obtain the aggregate demand response potential value; or after the demand response potential values of the users with the demand response potential in each target user mode are determined, the demand response potential values are uniformly overlapped to obtain an aggregate demand response potential value, and the aggregate demand response potential value can be selected according to actual conditions.
Based on the embodiment, the demand response potential value is obtained by carrying out the adjustable capability evaluation on the users belonging to the same target electricity consumption mode, and then the total demand response potential value, namely the aggregate demand response potential value, is obtained, so that the obtained aggregate demand response potential value is more stable, the precision and the accuracy of the aggregate demand response potential value can be effectively improved, the adjustment capability of a load side in the intelligent power grid is improved, and the stable operation of the power grid is facilitated.
The following provides a specific procedure for demand response potential assessment for a user. FIG. 2 is a flow chart of demand response potential evaluation. FIG. 3 is an overall architecture diagram of demand response potential evaluation.
1. Acquiring electricity consumption history data of a user;
2. clustering the daily load curves of the users by using a clustering algorithm to obtain a clustering result;
3. determining a power consumption mode of a user according to the clustering result;
4. judging whether the user has demand response potential or not according to the electricity utilization mode of the user;
5. obtaining load reduction rate and user participation according to historical electricity utilization data under a demand response plan, namely the electricity utilization data;
6. and calculating to obtain a demand response potential value of the user according to the electricity consumption historical data, the load reduction rate and the user participation.
In this embodiment, a clustering algorithm is used to cluster load curves of users, so as to obtain a clustering result. By combining the load curve and the demand response time of the user, whether the user has the demand response potential can be obtained. The peak-valley difference of the load curve of the user may represent the maximum potential of the user in an ideal state, but in practical application, the potential of the user often cannot reach an ideal situation, and a possible load reduction potential calculation formula of the user participating in the demand response plan may be:
ΔP＝P peak γθ
wherein Δp is the peak load reduction, i.e., the demand response potential value; p (P) peak Electricity consumption data before planning for implementing demand response; gamma is the average load-shedding rate under the demand response measures,that is, when the demand response plan is implemented, the average reduction amount of the load is a ratio of the maximum load; θ is user responsiveness.
The characteristics of demand response speed, demand response reliability, incentive measures and the like of the user are considered in demand response aggregation management. Based on load aggregation, aiming at each user meeting the requirement of a demand response plan, the demand response potential value of the user is evaluated, and finally, the demand response potential values of all the users are subjected to superposition analysis to obtain the total potential of demand response, namely an aggregate demand response potential value.
The following describes an apparatus for acquiring an aggregate demand response potential value according to an embodiment of the present application, where the apparatus for acquiring an aggregate demand response potential value and the method for acquiring an aggregate demand response potential value described above may be referred to correspondingly, and related modules are set in the apparatus, and referring to fig. 4, fig. 4 is a schematic structural diagram of an apparatus for acquiring an aggregate demand response potential value according to an embodiment of the present application, where the apparatus includes:
in some specific embodiments, specifically comprising:
the acquisition module 401 is configured to acquire historical electricity utilization data of each user, and determine an electricity utilization mode of each user according to the historical electricity utilization data;
a first determining module 402, configured to determine a target electricity usage pattern with a demand response potential according to the electricity usage patterns of the respective users;
a second determining module 403, configured to determine a demand response potential value of the user having the demand response potential in each target electricity consumption mode;
and the superposition module 404 is configured to superimpose the demand response potential values of the users in each target electricity consumption mode to obtain an aggregate demand response potential value.
In some specific embodiments, the first determining module includes:
the clustering unit is used for clustering the load curves generated by the historical electricity utilization data by using a clustering algorithm to obtain a clustering result;
and the first determining unit is used for determining the electricity utilization mode of each user according to the clustering result.
In some specific embodiments, further comprising:
the third determining module is used for determining potential users with demand response potential in each target electricity utilization mode;
and the fourth determining module is used for determining the peak-valley difference of the load curve corresponding to the potential user and taking the potential user with the peak-valley difference larger than the preset threshold value as the user with the demand response potential.
In some specific embodiments, the second determining module includes:
acquiring response electricity utilization data under a user execution demand response request with demand response potential;
determining the average load reduction rate and the user responsiveness of the user according to the response power application data;
and determining a demand response potential value of the user with the demand response potential according to the historical electricity consumption data of the user, the average load reduction rate and the user responsiveness.
In some specific embodiments, further comprising:
the formulating module is used for formulating an initial demand response plan;
and the generation module is used for adding the PTR incentive strategy, the L-PTR incentive strategy and the CCP incentive strategy into the initial demand response plan to generate a demand response request.
Since the embodiment of the aggregate demand response potential value obtaining device portion and the embodiment of the aggregate demand response potential value obtaining method portion correspond to each other, the embodiment of the aggregate demand response potential value obtaining device portion is referred to for a description of the embodiment of the aggregate demand response potential value obtaining method portion, which is not repeated herein.
The following describes an electronic device provided by an embodiment of the present application, where the electronic device described below and the method for obtaining the aggregate demand response potential value described above may be referred to correspondingly.
The present application provides an electronic device including:
a memory for storing a computer program;
and a processor for implementing the steps of the method for acquiring the aggregate demand response potential value when executing the computer program.
Since the embodiment of the electronic device portion corresponds to the embodiment of the method for acquiring the aggregate demand response potential value, the embodiment of the electronic device portion is referred to the description of the embodiment of the method for acquiring the aggregate demand response potential value, which is not repeated herein.
The application also discloses a computer readable storage medium, wherein the computer readable storage medium is stored with a computer program, and the computer program realizes the steps of the acquisition method of the aggregate demand response potential value when being executed by a processor.
Since the embodiment of the computer readable storage medium portion corresponds to the embodiment of the method portion for acquiring the aggregate demand response potential value, the embodiment of the computer readable storage medium portion is referred to the description of the embodiment of the method portion for acquiring the aggregate demand response potential value, and is not repeated herein.
In the description, each embodiment is described in a progressive manner, and each embodiment is mainly described by the differences from other embodiments, so that the same similar parts among the embodiments are mutually referred. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative elements and steps are described above generally in terms of functionality in order to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. The software modules may be disposed in Random Access Memory (RAM), memory, read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The method, the device, the electronic equipment and the computer readable storage medium for acquiring the aggregate demand response potential value provided by the application are described in detail. The principles and embodiments of the present application have been described herein with reference to specific examples, the description of which is intended only to facilitate an understanding of the method of the present application and its core ideas. It should be noted that it will be apparent to those skilled in the art that various modifications and adaptations of the application can be made without departing from the principles of the application and these modifications and adaptations are intended to be within the scope of the application as defined in the following claims.
Claims (7)
1. The method for acquiring the aggregate demand response potential value is characterized by comprising the following steps:
acquiring historical electricity utilization data of each user, and determining an electricity utilization mode of each user according to the historical electricity utilization data;
determining each target electricity utilization mode with demand response potential according to the electricity utilization modes of each user;
determining potential users with demand response potential in each target electricity utilization mode;
determining the peak-valley difference of the load curve corresponding to the potential user, and taking the potential user with the peak-valley difference larger than a preset threshold value as the user with the demand response potential;
acquiring response electricity utilization data of the user with the demand response potential under the demand response request;
determining the average load reduction rate and the user responsiveness of the user according to the response electricity consumption data;
according to the historical electricity consumption data of the user, the average load reduction rate and the user responsiveness determine a demand response potential value of the user with the demand response potential;
and superposing the demand response potential values of the users in the target electricity utilization mode to obtain an aggregate demand response potential value.
2. The method for obtaining an aggregate demand response potential value of claim 1, wherein determining the power usage pattern of each user from the historical power usage data comprises:
clustering the load curves generated by the historical electricity utilization data by using a clustering algorithm to obtain a clustering result;
and determining the electricity utilization mode of each user according to the clustering result.
3. The method for obtaining an aggregate demand response potential value according to claim 1, further comprising, before obtaining the response electricity consumption data under the demand response request performed by the user having the demand response potential:
making an initial demand response plan;
adding PTR incentive strategy, L-PTR incentive strategy and CCP incentive strategy to the initial demand response plan, and generating the demand response request.
4. An apparatus for obtaining an aggregate demand response potential value, comprising:
the acquisition module is used for acquiring historical electricity utilization data of each user and determining an electricity utilization mode of each user according to the historical electricity utilization data;
the first determining module is used for determining a target electricity utilization mode with a demand response potential according to the electricity utilization modes of the users;
the third determining module is used for determining potential users with demand response potential in each target electricity utilization mode;
a fourth determining module, configured to determine a peak-valley difference of the load curve corresponding to the potential user, and take the potential user with the peak-valley difference greater than a preset threshold as the user with the demand response potential;
the second determining module is used for acquiring response electricity utilization data under the request of executing the demand response by the user with the demand response potential; determining the average load reduction rate and the user responsiveness of the user according to the response electricity consumption data; according to the historical electricity consumption data of the user, the average load reduction rate and the user responsiveness determine a demand response potential value of the user with the demand response potential;
and the superposition module is used for superposing the demand response potential values of the users in the target electricity utilization mode to obtain an aggregate demand response potential value.
5. The apparatus for obtaining an aggregate demand response potential value of claim 4, wherein the first determining module comprises:
the clustering unit is used for clustering the load curves generated by the historical electricity utilization data by using a clustering algorithm to obtain a clustering result;
and the first determining unit is used for determining the electricity utilization mode of each user according to the clustering result.
6. An electronic device, comprising:
a memory for storing a computer program;
a processor for implementing the steps of the method for acquiring an aggregate demand response potential value according to any one of claims 1 to 3 when executing the computer program.
7. A computer readable storage medium, characterized in that the computer readable storage medium has stored thereon a computer program which, when executed by a processor, implements the steps of the method for acquiring an aggregate demand response potential value according to any one of claims 1 to 3.
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