CN115908051A - Method for determining energy storage capacity of power system - Google Patents
Method for determining energy storage capacity of power system Download PDFInfo
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- CN115908051A CN115908051A CN202211517351.0A CN202211517351A CN115908051A CN 115908051 A CN115908051 A CN 115908051A CN 202211517351 A CN202211517351 A CN 202211517351A CN 115908051 A CN115908051 A CN 115908051A
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Abstract
The invention discloses a method for determining energy storage capacity of a power system, which belongs to the technical field of power systems and comprises the following specific steps: the method comprises the following steps: establishing a capacity confirmation library, acquiring the information of the electric energy storage system, and matching a corresponding to-be-selected energy storage capacity confirmation scheme from the capacity confirmation library according to the acquired energy storage information of the electric energy storage system; step two: screening the obtained to-be-selected energy storage capacity determination schemes to obtain corresponding target energy storage capacity determination schemes; step three: acquiring power plan information of the power energy storage system in real time, dynamically evaluating the energy storage capacity of the power energy storage system in a base point time according to the acquired power plan information, and generating a corresponding energy storage capacity dynamic graph according to the acquired energy storage capacity; step four: and determining the position of the next checking base point according to the energy storage capacity dynamic graph, and when the time reaches the checking base point, determining the current energy storage capacity through a target energy storage capacity determination scheme, and marking the current energy storage capacity as the checking energy storage capacity.
Description
Technical Field
The invention belongs to the technical field of power systems, and particularly relates to a method for determining energy storage capacity of a power system.
Background
With the development of science and technology, renewable energy sources are widely used, for example, power transmission and distribution losses of a power system can be reduced by utilizing the renewable energy sources for power generation. The renewable energy sources are stored through the energy storage device, and subsequent scheduling and other applications are performed according to the energy storage condition, so that the corresponding energy storage condition needs to be known more accurately in order to ensure normal and accurate application of the renewable energy sources, and therefore, the energy storage capacity determining method of the power system is provided in order to know the energy storage capacity in real time.
Disclosure of Invention
In order to solve the problems existing in the scheme, the invention provides a method for determining the energy storage capacity of the power system.
The purpose of the invention can be realized by the following technical scheme:
a method for determining energy storage capacity of a power system comprises the following specific steps:
the method comprises the following steps: establishing a capacity confirmation library, acquiring the information of the electric energy storage system, and matching a corresponding to-be-selected energy storage capacity confirmation scheme from the capacity confirmation library according to the acquired energy storage information of the electric energy storage system;
step two: screening the obtained to-be-selected energy storage capacity determination schemes to obtain corresponding target energy storage capacity determination schemes;
step three: acquiring power plan information of the power energy storage system in real time, dynamically evaluating the energy storage capacity of the power energy storage system in a base point time according to the acquired power plan information, and generating a corresponding energy storage capacity dynamic graph according to the acquired energy storage capacity;
step four: determining the position of the next checking base point according to the energy storage capacity dynamic graph, and when the time reaches the checking base point, determining the current energy storage capacity through a target energy storage capacity determination scheme, and marking the current energy storage capacity as the checking energy storage capacity;
step five: and updating the energy storage capacity dynamic graph according to the obtained checking energy storage capacity.
Further, the method for screening the obtained candidate energy storage capacity determination scheme comprises the following steps:
acquiring an implementation value and an accurate value corresponding to each to-be-selected energy storage capacity determination scheme, evaluating a cost value and an implementation correction coefficient corresponding to each to-be-selected energy storage capacity determination scheme according to the information of the power energy storage system, calculating a priority value of each to-be-selected energy storage capacity determination scheme according to the acquired implementation value, accurate value, cost value and implementation correction coefficient, and selecting the to-be-selected energy storage capacity determination scheme with the maximum priority value as a target energy storage capacity determination scheme.
Further, the method for calculating the priority value of each candidate energy storage capacity determination scheme according to the obtained implementation value, the accurate value, the cost value and the implementation correction coefficient comprises the following steps:
marking the scheme for determining the energy storage capacity to be selected as i, wherein i =1, 2, \8230;, n are positive integers; respectively marking an implementation value and an accurate value as SZi and GDi, respectively marking a cost value and an implementation correction coefficient as CBi and alpha i, and calculating corresponding priority values according to a formula QTi = b1 multiplied by SZi multiplied by alpha i + b2 multiplied by GDi-b3 multiplied by CBi, wherein b1, b2 and b3 are all proportional coefficients, the value range is that 0< -b 1 is less than or equal to 1,0< -b 2 is less than or equal to 1, and 0< -b3 is less than or equal to 1.
Further, the method for dynamically evaluating the energy storage capacity of the power energy storage system in the base point time according to the obtained power plan information comprises the following steps:
and establishing a planned energy storage analysis model, acquiring current base point information, integrating the acquired base point information and the power plan information into energy storage analysis data, and analyzing the energy storage analysis data through the planned energy storage analysis model to acquire the dynamic energy storage capacity of the subsequent power energy storage system.
Further, the method for determining the position of the next check base point according to the energy storage capacity dynamic graph comprises the following steps:
acquiring an energy storage capacity range of an electric energy storage system, and setting a corresponding interval adjustment curve according to the acquired energy storage capacity range; the method comprises the steps of identifying energy storage capacity corresponding to current base point information, marking the energy storage capacity as reference capacity CBo, marking a corresponding checking base point as a target base point, marking time from the target base point as t, marking the energy storage capacity from the target base point as CPt, matching a corresponding adjusting coefficient from an interval adjusting curve according to the energy storage capacity CPt, marking the obtained adjusting coefficient as beta t, calculating a corresponding accumulation value according to a formula, comparing the obtained accumulation value with a threshold value X1, comparing m with a threshold value X2, and when m = X2 or GZPT = X1, marking the corresponding time as the checking base point.
Further, the formula for calculating the accumulation value is:
m represents a time span from the target base point.
Further, the method also comprises the step six: and optimizing the planned energy storage analysis model according to the obtained checking energy storage capacity.
Compared with the prior art, the invention has the beneficial effects that:
the energy storage capacity dynamic graph is dynamically generated, so that managers can know the corresponding energy storage capacity in real time, the subsequent energy storage capacity can be estimated, the subsequent electric energy scheduling is facilitated, and the provided data is more accurate; and an optimized closed loop is formed by combining a check base point and a planned energy storage analysis model, so that the analysis accuracy is improved.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a flow chart of the present invention.
Detailed Description
The technical solutions of the present invention will be described below clearly and completely in conjunction with the embodiments, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the 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 invention.
As shown in fig. 1, a method for determining energy storage capacity of an electric power system includes the following specific steps:
the method comprises the following steps: establishing a capacity confirmation library, acquiring the information of the electric energy storage system, and matching a corresponding to-be-selected energy storage capacity confirmation scheme from the capacity confirmation library according to the acquired energy storage information of the electric energy storage system;
the capacity confirmation library is used for storing energy storage capacity determination schemes of currently available and practicable electric energy storage systems, namely feasibility assessment is carried out on the energy storage capacity determination schemes suitable for various electric energy storage systems through corresponding expert groups, the feasible energy storage capacity determination schemes are stored in the capacity confirmation library, corresponding implementation values and accurate values are set for the energy storage capacity determination schemes to be stored in the assessment process, the implementation values are set according to implementation difficulty and feasibility of the corresponding energy storage capacity determination schemes, and the implementation values are higher and easier to implement; the accurate value is set according to the detection accuracy of the corresponding energy storage capacity determination scheme, the higher the detection accuracy is, the higher the accurate value is, and the corresponding implementation value and the accurate value are marked on the energy storage capacity determination scheme for facilitating subsequent identification and acquisition.
And matching the energy storage capacity determination schemes corresponding to the energy storage capacity determination schemes in the capacity determination library according to the obtained energy storage information of the electric energy storage system, and matching the energy storage capacity determination schemes corresponding to the energy storage capacity determination schemes in the capacity determination library according to the existing matching method, similarity algorithm and the like to obtain the energy storage capacity determination schemes corresponding to the energy storage information of the electric energy storage system needing to be matched, and marking the energy storage capacity determination schemes as the energy storage capacity determination schemes to be selected.
Step two: screening the obtained to-be-selected energy storage capacity determination schemes to obtain corresponding target energy storage capacity determination schemes;
the method for screening the obtained candidate energy storage capacity determination scheme comprises the following steps:
acquiring an implementation value and an accurate value corresponding to each to-be-selected energy storage capacity determination scheme, evaluating a cost value and an implementation correction coefficient corresponding to each to-be-selected energy storage capacity determination scheme according to the information of the power energy storage system, calculating a priority value of each to-be-selected energy storage capacity determination scheme according to the acquired implementation value, accurate value, cost value and implementation correction coefficient, and selecting the to-be-selected energy storage capacity determination scheme with the maximum priority value as a target energy storage capacity determination scheme.
Evaluating cost values corresponding to the to-be-selected energy storage capacity determination schemes and implementing correction coefficients according to the information of the electric energy storage system, wherein the cost values are application costs required by the to-be-selected energy storage capacity determination schemes judged according to actual information of the electric energy storage system, and then converting the cost values into corresponding cost values according to a corresponding preset cost conversion method, wherein the cost conversion method generally comprises the steps of setting a conversion coefficient for each cost interval and multiplying the conversion coefficients; the real-time correction coefficient is set according to actual implementation of a corresponding to-be-selected energy storage capacity determination scheme and is used for correcting an implementation value, because the real-time value is a representative value under one condition and is set according to the difference between the actual condition and the actual condition, an artificial intelligence model is specifically established, the artificial intelligence model comprises an error back propagation neural network, an RBF neural network and a deep convolution neural network, a corresponding training set is manually set based on the description to conduct training, the artificial intelligence model after the training is successful is analyzed to obtain a corresponding cost value and an implementation correction coefficient, and because the neural network is the prior art in the field, the specific establishment and training process is not described in detail in the application.
The method for calculating the priority value of each candidate energy storage capacity determination scheme according to the obtained implementation value, the accurate value, the cost value and the implementation correction coefficient comprises the following steps:
marking the scheme for determining the energy storage capacity to be selected as i, wherein i =1, 2, \8230;, n are positive integers; respectively marking an implementation value and an accurate value as SZi and GDi, respectively marking a cost value and an implementation correction coefficient as CBi and alpha i, and calculating corresponding priority values according to a formula QTi = b1 multiplied by SZi multiplied by alpha i + b2 multiplied by GDi-b3 multiplied by CBi, wherein b1, b2 and b3 are all proportional coefficients, the value range is that 0< -b 1 is less than or equal to 1,0< -b 2 is less than or equal to 1, and 0< -b3 is less than or equal to 1.
Step three: acquiring power plan information of the power energy storage system in real time, dynamically evaluating the energy storage capacity of the power energy storage system in a base point time according to the acquired power plan information, and generating a corresponding energy storage capacity dynamic graph according to the acquired energy storage capacity; the energy storage capacity dynamic graph comprises an energy storage capacity curve, a check base point, a check energy storage capacity and the like which change along with time, namely two energy storage capacities may be arranged at the check base point, one is estimated according to the power plan information, and the other is checked and detected, but the energy storage capacity curve is subject to the check energy storage capacity corresponding to the check base point in the follow-up process.
The power plan information is power information related to energy storage capacity, such as scheduling, energy storage, self-use and the like, specifically, each data item corresponding to the power plan information is set manually according to the actual situation of the power energy storage system, and corresponding data is acquired according to the data item.
The method for dynamically evaluating the energy storage capacity of the power energy storage system in the base point time according to the obtained power plan information comprises the following steps:
establishing a plan energy storage analysis model, wherein the plan energy storage analysis model is used for analyzing the energy storage capacity of the electric energy storage system at each subsequent time according to electric power plan information and current base point information, specifically is established based on a CNN (CNN network) or DNN (DNN network), a corresponding training set is set in a manual mode for training, analysis is performed through the plan energy storage analysis model after the training is successful, the base point information comprises check base point time and accurate energy storage capacity, a corresponding training set can be established according to the accurate energy storage capacity and the electric power plan information at the subsequent time, and the corresponding dynamic energy storage capacity is analyzed; the current base point information is obtained, the obtained base point information and the power plan information are integrated into energy storage analysis data, and the energy storage analysis data are analyzed through a plan energy storage analysis model to obtain the dynamic energy storage capacity of a subsequent power energy storage system.
Step four: determining the position of the next checking base point according to the energy storage capacity dynamic graph, and when the time reaches the checking base point, determining the current energy storage capacity through a target energy storage capacity determination scheme, and marking the current energy storage capacity as the checking energy storage capacity;
when the application is started, the time of the energy storage capacity detected by the target energy storage capacity determining scheme is directly used as a check base point, and then the subsequent generation and updating of the energy storage capacity dynamic graph are carried out. I.e. at least one check base point already exists in the dynamic map of energy storage capacity.
The method for determining the position of the next check base point according to the energy storage capacity dynamic graph comprises the following steps:
acquiring an energy storage capacity range of an electric energy storage system, and setting a corresponding interval adjustment curve according to the acquired energy storage capacity range; identifying the energy storage capacity corresponding to the current base point information, marking the energy storage capacity as reference capacity CBo, and marking the corresponding check base point as a target base point, wherein the current base point information refers to the information corresponding to the latest check base point in the energy storage capacity dynamic graph, namely the information of the check base point closest to the current; the time mark from the target base point is t, and t =0 represents the time at the target base point; marking the energy storage capacity starting from a target base point as CPt, matching a corresponding adjustment coefficient from an interval adjustment curve according to the energy storage capacity CPt, marking the obtained adjustment coefficient as beta t, and according to a formula
The corresponding accumulated value is calculated, i.e. starting from t =1, since t =0, i.e. the target base point, does not need to be confirmed, and when t =1, CP t-1 = CBo; m represents a time span from a target base point; the obtained accumulated value is compared with a threshold value X1, m is compared with a threshold value X2, and when m = X2 or GZPt = X1, the corresponding time is marked as a check base point.
Namely, the threshold value X2 represents the maximum time, and the threshold value X1 is the maximum cumulative value corresponding to the cumulative value and is set through discussion by an expert group;
the interval adjusting curve is an adjusting coefficient curve which is set in an energy storage capacity range in a manual mode, the adjusting coefficient is used for reducing errors of energy storage difference values corresponding to different energy storage capacities, the stored value difference value refers to the energy storage difference value taking the current checking base point as the standard, and simulation building is carried out in the manual mode.
Step five: updating the energy storage capacity dynamic graph according to the obtained checking energy storage capacity;
namely, the subsequent generation of the energy storage capacity dynamic graph is performed at the checking base point from the checking of the energy storage capacity.
Step six: and optimizing the plan energy storage analysis model according to the obtained checking energy storage capacity.
The energy storage capacity that estimates is compared according to checking energy storage capacity and analysis promptly, gathers a large amount of optimization data, and then sets up the training set that corresponds the optimization and optimize the training, specifically can realize corresponding optimal processing through current mode for the current energy storage capacity of follow-up energy storage capacity dynamic graph is more and more accurate.
The above formulas are all calculated by removing dimensions and taking numerical values thereof, the formula is a formula which is obtained by acquiring a large amount of data and performing software simulation to obtain the closest real situation, and the preset parameters and the preset threshold value in the formula are set by the technical personnel in the field according to the actual situation or obtained by simulating a large amount of data.
Although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted for elements thereof without departing from the scope of the present invention.
Claims (7)
1. A method for determining energy storage capacity of a power system is characterized by comprising the following specific steps:
the method comprises the following steps: establishing a capacity confirmation library, acquiring the information of the electric energy storage system, and matching a corresponding to-be-selected energy storage capacity confirmation scheme from the capacity confirmation library according to the acquired energy storage information of the electric energy storage system;
step two: screening the obtained to-be-selected energy storage capacity determination schemes to obtain corresponding target energy storage capacity determination schemes;
step three: acquiring power plan information of the power energy storage system in real time, dynamically evaluating the energy storage capacity of the power energy storage system in a base point time according to the acquired power plan information, and generating a corresponding energy storage capacity dynamic graph according to the acquired energy storage capacity;
step four: determining the position of the next checking base point according to the energy storage capacity dynamic graph, and when the time reaches the checking base point, determining the current energy storage capacity through a target energy storage capacity determination scheme, and marking the current energy storage capacity as the checking energy storage capacity;
step five: and updating the energy storage capacity dynamic graph according to the obtained checking energy storage capacity.
2. The method for determining the energy storage capacity of the power system according to claim 1, wherein the method for screening the obtained candidate energy storage capacity determination schemes comprises the following steps:
acquiring an implementation value and an accurate value corresponding to each to-be-selected energy storage capacity determination scheme, evaluating a cost value and an implementation correction coefficient corresponding to each to-be-selected energy storage capacity determination scheme according to the information of the power energy storage system, calculating a priority value of each to-be-selected energy storage capacity determination scheme according to the acquired implementation value, accurate value, cost value and implementation correction coefficient, and selecting the to-be-selected energy storage capacity determination scheme with the maximum priority value as a target energy storage capacity determination scheme.
3. The method for determining the energy storage capacity of the power system according to claim 2, wherein the method for calculating the priority value of each candidate energy storage capacity determination scheme according to the obtained implementation value, the accurate value, the cost value and the implementation correction coefficient comprises the following steps:
marking the scheme for determining the energy storage capacity to be selected as i, wherein i =1, 2, \8230;, n are positive integers; respectively marking an implementation value and an accurate value as SZi and GDi, respectively marking a cost value and an implementation correction coefficient as CBi and alpha i, and calculating corresponding priority values according to a formula QTi = b1 multiplied by SZi multiplied by alpha i + b2 multiplied by GDi-b3 multiplied by CBi, wherein b1, b2 and b3 are all proportional coefficients, the value range is 0 & lt b1 & lt 1 & gt, 0 & lt b2 & lt 1 & gt and 0 & lt b3 & lt 1 & gt, and 0 & lt b3 & lt 1 & gt and 0 & lt.
4. The method for determining the energy storage capacity of the power system according to claim 1, wherein the method for dynamically evaluating the energy storage capacity of the power energy storage system in the base point time according to the obtained power plan information comprises:
and establishing a planned energy storage analysis model, acquiring current base point information, integrating the acquired base point information and the power plan information into energy storage analysis data, and analyzing the energy storage analysis data through the planned energy storage analysis model to acquire the dynamic energy storage capacity of the subsequent power energy storage system.
5. The method for determining the energy storage capacity of the power system as claimed in claim 1, wherein the method for determining the position of the next check base point according to the energy storage capacity dynamic map comprises:
acquiring an energy storage capacity range of an electric energy storage system, and setting a corresponding interval adjustment curve according to the acquired energy storage capacity range; the method comprises the steps of identifying energy storage capacity corresponding to current base point information, marking the energy storage capacity as reference capacity CBo, marking a corresponding check base point as a target base point, marking time from the target base point as t, marking the energy storage capacity from the target base point as CPt, matching a corresponding adjusting coefficient from a section adjusting curve according to the energy storage capacity CPt, marking the obtained adjusting coefficient as beta t, calculating a corresponding accumulated value according to a formula, comparing the obtained accumulated value with a threshold value X1, comparing m with a threshold value X2, and when m = X2 or GZPT = X1, marking the corresponding time as the check base point.
6. The method for determining the energy storage capacity of the power system according to claim 5, wherein the formula for calculating the accumulation value is as follows:
m represents a time span from the target base point. />
7. The method for determining the energy storage capacity of the power system according to claim 4, further comprising the steps of: and optimizing the plan energy storage analysis model according to the obtained checking energy storage capacity.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116182564A (en) * | 2023-04-26 | 2023-05-30 | 科大智能物联技术股份有限公司 | Intelligent control system for ignition furnace of sintering machine |
| CN117010837A (en) * | 2023-08-18 | 2023-11-07 | 国网江苏省电力有限公司扬州供电分公司 | Basic resource batch matching method based on longitude and latitude coordinates |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116182564A (en) * | 2023-04-26 | 2023-05-30 | 科大智能物联技术股份有限公司 | Intelligent control system for ignition furnace of sintering machine |
| CN116182564B (en) * | 2023-04-26 | 2024-01-23 | 科大智能物联技术股份有限公司 | Intelligent control system for ignition furnace of sintering machine |
| CN117010837A (en) * | 2023-08-18 | 2023-11-07 | 国网江苏省电力有限公司扬州供电分公司 | Basic resource batch matching method based on longitude and latitude coordinates |
| CN117010837B (en) * | 2023-08-18 | 2024-05-17 | 国网江苏省电力有限公司扬州供电分公司 | Basic resource batch matching method based on longitude and latitude coordinates |
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Application publication date: 20230404 |