CN115147160A - Electric energy storage system based on electric power map and arrangement method thereof - Google Patents
Electric energy storage system based on electric power map and arrangement method thereof Download PDFInfo
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Abstract
The invention discloses an electric energy storage system based on a power map, and particularly relates to the field of power system analysis. The optimal energy supply point is sent to the addressing module, and the electric energy storage system based on the power map and the arrangement method thereof determine the power consumption and power generation conditions of each power utilization area in the area through the power map, so that the power loss of each power utilization area is determined, the optimal energy supply point of the energy storage power station can be determined according to the proportional relation and the position of each power utilization area, and the power loss can be reduced to the minimum through the electric energy provided by the energy storage power station when the area is in power loss.
Description
Technical Field
The invention relates to the technical field of power system analysis, in particular to an electric energy storage system based on a power map and an arrangement method thereof.
Background
The Energy Storage System (ESS) has the advantages of high energy response speed and low storage and high power generation, can solve the problem of intermittent output of renewable energy, improves the power supply reliability of a power distribution network, and enhances the toughness of the power distribution network. The geographical position and the capacity of the energy storage device in the power distribution network are reasonably planned, so that the output curve of distributed power sources such as photovoltaic power, wind power and the like can be more gentle, and the economic index of the operation of the power distribution network is also related. The safe and reliable grid-connected control strategy is a key technology for energy management optimization, power flow distribution improvement and voltage control of the power distribution network. In addition, the stored energy can also be cooperatively scheduled with other flexible resources such as controllable loads and electric vehicles to participate in the operation of the active power distribution network. In fact, the role played by energy storage devices in power distribution networks becomes irreplaceable due to the increasingly complex constituent elements and topologies.
The existing fixed energy storage system has high electricity storage cost, and the forced distribution and storage cost of each power station is overlarge, so that huge resource waste exists, while the distributed distribution and storage is difficult to realize due to high electricity storage and transportation cost. Therefore, the position selection of the energy storage system is very critical, and the invention provides an electric energy storage system based on an electric power map and an arrangement method thereof, which can effectively solve the problems.
Disclosure of Invention
In order to overcome the above drawbacks of the prior art, embodiments of the present invention provide an electric energy storage system based on a power map, which finds a weight center and selects a plurality of power stations close to the weight center for distribution and storage according to the power loss weight of each power utilization area, so as to solve the problems in the background art.
In order to achieve the purpose, the invention provides the following technical scheme:
an electrical energy storage system based on a power map, the system comprising:
and the arrangement center is used for determining the power grid structure and the power load grade of the power utilization area according to the power information contained in the power map, and determining the optimal construction position of the energy storage power station according to the power grid structure and the power load grade of the power utilization area.
In a preferred embodiment, the arrangement center includes: the system comprises a modeling module, a processing module and an address selection module;
the modeling module is used for constructing a power grid intelligence map according to the power map and sending the power grid intelligence map to the processing module and the address selecting module;
the processing module is used for acquiring the power utilization information of the power utilization areas and the positions of the power stations according to the power grid information graph, determining the power loss of each power utilization area and calculating the optimal energy supply points among the power utilization areas; the optimal energy supply point is sent to the addressing module;
and the site selection module is used for determining the optimal construction position of the energy storage power station according to the received optimal energy supply point.
In a preferred embodiment, the arrangement center further includes a verification module, configured to perform verification on the construction point selected by the location selection module to determine whether the construction point is suitable for construction of the energy storage power station.
In a preferred embodiment, the processing module comprises a classification unit and a calculation unit;
the classification unit is used for classifying the power load grades of all power utilization areas according to the power loss;
and the computing unit is used for determining the optimal energy supply point among the power utilization areas according to the power load grades of the power utilization areas and the power loss frequency of the power utilization areas.
An electrical energy storage system based on a power map, the system comprising:
and the energy storage power station is used for receiving the optimal construction position information sent by the arrangement center and carrying out site selection construction according to the optimal construction position information.
An electric energy storage system arrangement method based on an electric power map comprises the following steps:
s1, determining power grid information and power utilization information according to a power map;
s2, integrating power utilization users, dividing power utilization areas, and determining the power loss of each power utilization area in unit time;
s3, determining the optimal energy supply point among the power utilization areas according to the power loss of each power utilization area in unit time and the power loss probability of each power utilization area;
s4, connecting energy supply optimal points among the power utilization areas, and determining the optimal energy supply point of the connecting area;
and S5, selecting the construction position of the energy storage power station according to the optimal energy supply point.
In a preferred embodimentIn step S2, specifically, each electricity consumer is integrated and combined into an electricity utilization area according to the location of the electricity utilization area, so as to facilitate subsequent power supply management, and the power loss F of each electricity utilization area i The expression is as follows:
F i ＝f i *q
in the formula (f) i The power loss of each power utilization level of the power utilization users is shown, and q is the number of users at the power utilization level.
In a preferred embodiment, in step S4, the following determination is made when determining the optimal energy supply point for the connection region:
if only two power utilization areas exist, the optimal construction point of the energy storage power station in the area where the whole body is located is the optimal energy supply point on the straight line of the two power utilization areas;
if the power utilization areas are more than or equal to two, the optimal construction point of the energy storage power station in the area where the whole body is located is the centroid of an image formed by the optimal points of energy supply on all connecting lines in a surrounding mode.
In a preferred embodiment, when the construction location of the energy storage power station is confirmed again in step S5, the optimal energy supply point determined in step S4 is determined first, and whether other hardware conditions are suitable for the construction of the energy storage power station is determined, the determination method is as follows:
if the hardware condition of the optimal energy supply point is not suitable for the construction of the energy storage power station, selecting an area with the suitable hardware condition as the site selection position of the energy storage power station near the optimal energy supply point according to a nearby principle;
and if the hardware condition of the optimal energy supply point meets the construction requirement of the energy storage power station, determining the optimal energy supply point as the site selection position of the energy storage power station.
In a preferred embodiment, step S5 further includes step S5.1, specifically, when the energy storage power station is additionally addressed, the distances between the positions of all the power stations acquired in step S1 and the optimal energy supply point are calculated, and the closest power station is sequentially selected and configured for storage.
The invention has the technical effects and advantages that:
according to the electric energy storage system based on the power map and the arrangement method thereof, the power consumption and power generation conditions of each power consumption area in the area are determined through the power map, so that the power loss of each power consumption area is determined, the optimal energy supply point of the energy storage power station can be determined according to the proportional relation and the position of each power consumption area, and the power loss can be reduced to the minimum through the electric energy provided by the energy storage power station when the area is in power loss.
Drawings
FIG. 1 is a schematic diagram of an electrical energy storage system based on a power map according to the present invention;
FIG. 2 is a flow chart of an electrical energy storage arrangement method based on an electrical map according to the present invention;
fig. 3 is a schematic diagram of an optimal energy supply point of each power utilization area of the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, 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.
Example 1
The electric energy storage system is set based on the electric power map of the location, and various electric power information such as user cluster positions, user cluster electricity utilization conditions, electricity utilization structure equipment, power station positions and the like are distributed on the electric power map, so that the electricity utilization and electricity generation conditions of the location of the electric energy storage system can be determined according to the electric power map.
The invention determines the site selection position of the electric energy storage system by combining the power utilization condition of each area with the position of the power station. Specifically, as shown in fig. 1, the electric energy storage system includes a plurality of energy storage power stations and a distribution center, and the distribution center is used for locating the energy storage power stations, so that the loss of power in the area can be reduced to the greatest extent. The arrangement center comprises a modeling module, a processing module and an addressing module, wherein the modeling module is used for constructing a power grid intelligence map according to a power map and sending the power grid intelligence map to the processing module and the addressing module; the processing module obtains power utilization information of a power utilization area and the position of a power station from a power grid information graph, determines the structure and the load characteristic of a power grid, and sends the structure and the load characteristic of the power grid to the site selection module, and the site selection module determines the site selection position of the energy storage power station according to the structure and the load characteristic of the power grid.
As a further optimization improvement, the modeling module is further used for modeling and marking the positions of the power utilization areas and the positions of the power stations according to the power map. The site selection operation of the site selection module at the later stage is facilitated.
As a further optimization improvement, the processing module further comprises a classification unit and a calculation unit, wherein the classification unit is used for classifying the power load grades of each power utilization area according to the power loss; the calculating unit is used for calculating weight points among the power utilization areas according to the power load grades and the power loss frequency of the power utilization areas.
As a further optimization improvement, the location selection module is used for calculating the centroid of each weight point after connecting the weight points according to the weight points between the power utilization areas, and performing location selection on the energy storage power station according to the centroid.
Example 2
The second embodiment of the present invention is different from the above, in the above embodiment, the present invention generally describes a specific structure of an electric energy storage system based on an electric power map, and in the present embodiment, specific implementation details of related modules inside a layout center will be described specifically.
The classification unit divides each power loss user into a plurality of grades according to the loss caused by power supply interruption of the power loss user, the higher the power loss is, the higher the power load grade is, and the classification of the power loss is determined by actual conditions, for example, the power loss of schools, hospitals and government departments is greater than that of ordinary houses. Under the power failure state, the energy storage power station preferentially supplies power to the power utilization area with high power load grade as soon as possible, so that the power failure loss is reduced to the minimum. Specifically, the equipment power load class is i (1,2,. Once, m), and m is the number of power load classes.
The calculation module determines the power loss of each power utilization area according to the power load grade of each power utilization place, namely the power loss of each power loss area is represented as F i I =1,2,.., m, the expression for the total theoretical outage loss is:
minf＝F i -F sup
in the formula, F sup The optimistic value for compensating the power failure loss for the energy storage power station means that the maximum compensation loss is less than the maximum compensation loss for compensating the fuzzy variable of the power failure loss under a certain confidence coefficient condition, and a specific calculation formula is as follows:
F sup ＝P ji t-S i T
in the formula, P ji The output power of the energy storage power station to the ith level load of the jth power loss user is represented; t is the energy storage power station in P ji Obtaining the output time S i And T represents the time for waiting for the transmission of the electric energy transmitted by the energy storage power station of the ith class load.
Therefore, for the electricity utilization areas with the same power load grade and the same number of the electricity utilization persons, the closer the energy storage power station is to the electricity utilization areas, the shorter the transmission time T is, namely, the smaller the overall theoretical power loss is.
As a further optimization improvement, since the frequency probability of the power utilization faults of each power utilization area is different, in order to reduce the power loss of the whole area better, the actual power loss expression of each power utilization area is as follows:
M i ＝F sup p i
in the formula, M i For actual loss of power in each power-consuming area, p i The probability of power failure accidents occurring in each power utilization area. The calculation module is according to M i And determining the actual power loss of each power utilization area, comparing the weight of each power utilization area, and determining the weight point between the power utilization areas.
Specifically, as shown in fig. 3, (A, B, C, D is four power utilization regions, N is a weight point between the power utilization regions) the calculation module sets each power utilization region according to the model created by the modeling moduleConnecting according to the actual loss M of power at two ends of the connecting wire i And determining the weight points of the two power utilization areas on the connecting line according to the ratio, and determining the weight points among all the power utilization areas by analogy.
The site selection module connects the ownership points, determines the optimal region of the energy storage power station position related to the location of the electric energy storage system, and specifically performs centroid calculation on the connection graph with the ownership points by using the centroid calculation formula ^ integral Dxdxdxdxdxddy, so as to determine the location of the optimal energy storage power station.
As a further optimization improvement, the centroid position of the connection graph with the important ownership is not determined before the site selection module calculates, and a building possibly exists in an area where the centroid is located or the connection graph is not suitable for building the energy storage power station, therefore, the site selection method further comprises a verification module for verifying and judging whether the construction point selected by the site selection module is suitable for building the energy storage power station or not, if the construction point is suitable for building, the site selection position is determined, and if the construction point is not suitable for building, nearby site selection building is carried out.
Example 3
The third embodiment of the present invention is different from the above embodiments in that in the above embodiments, only one energy storage power station can be selected from the locations around the centroid, and in practical situations, one energy storage power station may not meet the use requirements of the city, and a plurality of energy storage power stations need to be provided. In this case, the site selection module selects the power station closest to the centroid position of the connection graph with the important ownership according to the power grid intelligence diagram of the modeling module to perform distribution and storage setting, so that the arrangement reduces the consumption of power storage and transportation of the energy storage power station on one hand, and takes care of the power loss of the area on the other hand, and the whole power loss consumption is reduced to the minimum.
Example 4
The invention discloses an electric energy storage system arrangement method based on an electric power map, which comprises the following steps as shown in figure 2:
step S1, determining power grid information and power utilization information according to a power map.
And S2, integrating power utilization users, dividing power utilization areas, and determining the power loss of each power utilization area in unit time.
And S3, determining the optimal energy supply point among the power utilization areas according to the power loss of each power utilization area in unit time and the power loss probability of each power utilization area.
And S4, connecting the energy supply optimal points among the power utilization areas, and determining the optimal energy supply point of the connecting area.
And S5, selecting the construction position of the energy storage power station according to the optimal energy supply point.
Specifically, in step S1, the user cluster location, the user cluster power utilization condition, the power utilization structure equipment and power plant location, and the like of the area where the information is located, which is determined by the power map, can provide support for the subsequent steps.
In step S2, the power load levels of the power consumers are determined, and the power load levels are classified according to actual conditions, for example, the power loss of the power consumers is the largest when primary power load levels are major protection objects in hospitals, schools and government departments. Secondly, the power utilization users are integrated and combined into a power utilization area according to the position of the area, so that subsequent power supply management is facilitated, after the power utilization areas are combined, the power load grades of the power utilization areas are formed by overlapping the power utilization users, the power load grades are related to the power utilization grades of the power utilization users and the number of the users, and therefore the power loss F of each power utilization area i The expression is as follows:
F i ＝f i *q
in the formula, f i The power loss of each power utilization level of the power utilization users is shown, and q is the number of users at the power utilization level. Therefore, the power loss of each power utilization area can be accurately calculated.
In step S3, the optimal point of energy supply is the representation of the ratio of the power loss of two adjacent power utilization areas on the connection line.
In step S4, if there are only two power utilization areas, the optimal energy storage station building point of the area where the whole is located is the optimal energy supply point on the straight line of the two power utilization areas; if the number of the power utilization areas is more than or equal to two, as shown in fig. 3, (A, B, C, D is four power utilization areas, and N is an optimal energy supply point between the power utilization areas), the optimal establishment point of the energy storage power station in the area where the whole is located is the centroid of an image surrounded by the optimal energy supply points on all the connecting lines.
In step S5, when the construction position of the energy storage power station is confirmed, the optimal energy supply point determined in step S4 is determined first, and whether other hardware conditions are suitable for the construction of the energy storage power station is determined, for example, whether a building is constructed, whether the terrain is suitable for the construction, and the like; the judgment method comprises the following steps:
and if the hardware condition of the optimal energy supply point is not suitable for the construction of the energy storage power station, selecting an area with the suitable hardware condition as the site selection position of the energy storage power station near the optimal energy supply point according to a nearby principle.
And if the hardware condition of the optimal energy supply point meets the construction requirement of the energy storage power station, determining the optimal energy supply point as the site selection position of the energy storage power station.
Meanwhile, the step S5 further includes a step S5.1, specifically, the energy storage power station is additionally addressed, at this time, since the optimal energy supply point and the periphery thereof are selected, the position distances between all the power stations in the area and the optimal energy supply point are calculated, and the nearest power station is sequentially selected for storage and distribution, so that the cost of electricity storage and transportation and the labor management cost are reduced, and the minimum loss of electricity in the area is considered as much as possible.
All the embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments may be referred to each other, and the embodiments are mainly described as different from other embodiments.
For convenience of description, the above devices are described as being divided into various units by function, and described separately. Of course, the functionality of the units may be implemented in one or more software and/or hardware when implementing the present application.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and so forth) having computer-usable program code embodied therein.
The application may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The application may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
Secondly, the method comprises the following steps: in the drawings of the disclosed embodiment of the invention, only the structures related to the disclosed embodiment are related, other structures can refer to common design, and the same embodiment and different embodiments of the invention can be combined mutually under the condition of no conflict;
and finally: the above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that are within the spirit and principle of the present invention are intended to be included in the scope of the present invention.
Claims (10)
1. An electric energy storage system based on an electric power map, characterized in that: the system comprises:
and the arrangement center is used for determining the power grid structure and the power load grade of the power utilization area according to the power information contained in the power map, and determining the optimal construction position of the energy storage power station according to the power grid structure and the power load grade of the power utilization area.
2. An electric power map-based electric energy storage system according to claim 1, characterized in that: the arrangement center includes: the system comprises a modeling module, a processing module and an address selection module;
the modeling module is used for constructing a power grid intelligence map according to the power map and sending the power grid intelligence map to the processing module and the address selecting module;
the processing module is used for acquiring the power utilization information of the power utilization areas and the positions of the power stations according to the power grid information graph, determining the power loss of each power utilization area and calculating the optimal energy supply points among the power utilization areas; the optimal energy supply point is sent to the addressing module;
and the site selection module is used for determining the optimal construction position of the energy storage power station according to the received optimal energy supply point.
3. An electric power map-based electric energy storage system according to claim 1, characterized in that: the arrangement center further comprises a checking module used for checking and judging whether the construction points selected by the site selection module are suitable for construction of the energy storage power station or not.
4. An electric power map-based electric energy storage system according to claim 2, characterized in that: the processing module comprises a classification unit and a calculation unit,
the classification unit is used for classifying the power load grades of all power utilization areas according to the power loss;
and the calculation unit is used for determining the optimal energy supply point among the power utilization areas according to the power load grades of the power utilization areas and the power loss frequency of the power utilization areas.
5. An electric energy storage system based on a power map, characterized in that: the system comprises:
and the energy storage power station is used for receiving the optimal construction position information sent by the arrangement center and carrying out site selection construction according to the optimal construction position information.
6. An electric energy storage system arrangement method based on an electric power map is characterized in that: the method comprises the following steps:
s1, determining power grid information and power utilization information according to a power map;
s2, integrating power utilization users, dividing power utilization areas, and determining the power loss of each power utilization area in unit time;
s3, determining the optimal energy supply point among the power utilization areas according to the power loss of each power utilization area in unit time and the power loss probability of each power utilization area;
s4, connecting energy supply optimal points among the power utilization areas, and determining the optimal energy supply point of the connecting area;
and S5, selecting the construction position of the energy storage power station according to the optimal energy supply point.
7. The power map-based electrical energy storage system placement method of claim 6, wherein: in step S2, specifically, each electricity consumer is integrated and merged into an electricity utilization area according to the location of the electricity utilization area, so as to facilitate subsequent power supply management, and the power loss F of each electricity utilization area i The expression is as follows:
F i ＝f i *q
in the formula (f) i The power loss of each power utilization level of the power utilization users is shown, and q is the number of users at the power utilization level.
8. The power map-based electrical energy storage system placement method of claim 6, wherein: in step S4, the following determination is made when determining the optimal energy supply point of the connection region:
if only two power utilization areas exist, the optimal construction point of the energy storage power station in the area where the whole body is located is the optimal energy supply point on the straight line of the two power utilization areas;
if the power utilization area is more than or equal to two, the optimal construction point of the energy storage power station in the area where the whole energy storage power station is located is the centroid of an image surrounded by the optimal energy supply points on all the connecting lines.
9. The power map-based electrical energy storage system arrangement method of claim 6, wherein: in step S5, when the construction position of the energy storage power station is confirmed, the optimal energy supply point determined in step S4 is determined first, and whether other hardware conditions are suitable for the construction of the energy storage power station is determined, where the determination method is as follows:
if the hardware condition of the optimal energy supply point is not suitable for the construction of the energy storage power station, selecting an area with the suitable hardware condition as the site selection position of the energy storage power station near the optimal energy supply point according to a nearby principle;
and if the hardware condition of the optimal energy supply point meets the construction requirement of the energy storage power station, determining the optimal energy supply point as the site selection position of the energy storage power station.
10. The power map-based electrical energy storage system placement method of claim 6, wherein: step 5, a step 5.1 is further included, specifically, when the energy storage power station is additionally addressed, the distances between the positions of all the power stations acquired in step 1 and the optimal energy supply point are calculated, and the nearest power station is sequentially selected to be allocated and stored.
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2022
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