CN115147160A - Electric energy storage system based on electric power map and arrangement method thereof - Google Patents

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

An electric energy storage system based on power map and its arrangement method

technical field

The present invention relates to the technical field of power system analysis, and more particularly, to an electrical energy storage system based on a power map and an arrangement method thereof.

Background technique

The energy storage system (ESS) has the advantages of fast energy response and "low storage and high power generation", which can solve the problem of intermittent output of renewable energy, improve the reliability of power supply of the distribution network, and enhance the resilience of the distribution network. Reasonable planning of the geographical location and capacity of energy storage devices in the distribution network can make the output curve of distributed power sources such as photovoltaics and wind power more flat, which is also related to the economic indicators of the operation of the distribution network. A safe and reliable grid-connected control strategy is the key technology for energy management optimization, power flow distribution improvement, and voltage control of the distribution network. In addition, energy storage can also be coordinated with other flexible resources such as controllable loads and electric vehicles to participate in active distribution network operation. In fact, the role of energy storage devices in distribution networks has become irreplaceable due to increasingly complex constituent elements and topologies.

Due to the high cost of electricity storage in the existing fixed energy storage system, the mandatory distribution and storage cost of each power station is too large, resulting in huge waste of resources, and the decentralized distribution and storage is even more difficult to achieve due to the high cost of electricity storage and transportation. Therefore, the location selection of the energy storage system is very critical. The present invention proposes an electric energy storage system based on a power map and an arrangement method thereof, which can effectively solve the above problems.

SUMMARY OF THE INVENTION

In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides an electric energy storage system based on a power map, by finding out the weight center according to the power loss weight of each power consumption area, and selecting several power stations close to the center for The allocation and storage settings are used to solve the problems raised in the above background art.

To achieve the above object, the present invention provides the following technical solutions:

An electric energy storage system based on a power map, the system includes:

The layout center is used to determine the power grid structure and power load level of the power consumption area according to the power information contained in the power map, and to determine the best construction location of the energy storage power station according to the power grid structure and the power load level of the power consumption area.

In a preferred embodiment, the arrangement center includes: a modeling module, a processing module and a location selection module;

The modeling module is used to construct a power grid information map according to the power map, and send it to the processing module and the location selection module;

The processing module is used to obtain the power consumption information of the power consumption area and the location of the power station according to the power grid information map, determine the power loss loss of each power consumption area, and calculate the optimal energy supply point between the power consumption areas; And send the best energy supply point to the site selection module;

The location selection module is used to determine the optimal construction location of the energy storage power station according to the receiving optimal energy supply point.

In a preferred embodiment, the arrangement center further includes a verification module, which is used to verify and verify the construction site selected by the site selection module to determine whether it is suitable for the construction of the energy storage power station.

In a preferred embodiment, the processing module includes a classification unit and a calculation unit;

The classification unit is used to classify the power load level of each power consumption area according to the loss of power loss;

The calculation unit is used to determine the optimal energy supply point between the power consumption areas according to the power load level of each power consumption area and the power loss frequency of each power consumption area.

An electric energy storage system based on a power map, the system includes:

The energy storage power station is used to receive the best construction location information sent by the layout center, and select the site for construction according to the best construction location information.

A method for arranging an electrical energy storage system based on a power map, comprising the following steps:

Step S1, determining power grid intelligence information and electricity consumption information according to the power map;

Step S2, integrating electricity users, dividing electricity consumption areas, and determining the power loss per unit time of each electricity consumption area;

Step S3, determining the optimal point of energy supply between the power consumption areas according to the power loss per unit time of each power consumption area and the power loss probability of each power consumption area;

Step S4, connecting the best energy supply points between the power consumption areas to determine the optimal energy supply point of the connection area;

Step S5, selecting the construction location of the energy storage power station according to the best energy supply point.

In a preferred embodiment, in step S2, specifically, each electricity user is integrated and merged into a electricity consumption area according to the location of the area to facilitate subsequent power supply management, and the power loss F _i of each electricity consumption area is expressed as follows :

F _i =f _i *q

In the formula, f _i is the power loss loss under the power consumption level of the electricity users, and q is the number of users under the power consumption level.

In a preferred embodiment, in step S4, the following judgment is made when determining the optimal energy supply point of the connection area:

If there are only two power consumption areas, the optimal construction point of the energy storage power station in the whole area is the best energy supply point on the straight line of the two power consumption areas;

If there are two or more power consumption areas, the optimal construction point of the energy storage power station in the whole area is the centroid of the image surrounded by the optimal energy supply points on all the connections.

In a preferred embodiment, in step S5, when confirming the construction location of the energy storage power station, the optimal energy supply point determined in step S4 is first judged to determine whether other hardware conditions are suitable for the construction of the energy storage power station , the judgment method is as follows:

If the hardware conditions of the optimal energy supply point are not suitable for the construction of the energy storage power station, the location of the energy storage power station shall be selected according to the principle of proximity near the optimal energy supply point;

If the hardware conditions of the optimal energy supply point meet the construction requirements of the energy storage power station, the optimal energy supply point is determined as the location of the energy storage power station.

In a preferred embodiment, step S5 further includes step S5.1, specifically, when additionally selecting the location of the energy storage power station, calculate the positions of all power stations and the best energy supply point obtained in step S1 Distance, select the nearest power station in turn to set the allocation and storage.

Technical effects and advantages of the present invention:

The present invention is an electric energy storage system based on an electric power map and an arrangement method thereof to determine the electric power generation situation of each electric power consumption area in the area through the electric power map, so as to determine the power loss loss of each electric power consumption area, and then according to the proportional relationship with The location of each power consumption area can determine the best energy supply point of the energy storage power station, ensuring that the power provided by the energy storage power station can minimize the loss of power loss when the area loses power.

Description of drawings

1 is a schematic structural diagram of an electric energy storage system based on a power map of the present invention;

Fig. 2 is a flow chart of a method for arranging electric energy storage based on a power map of the present invention;

FIG. 3 is a schematic diagram of the optimal energy supply point in each power consumption area of the present invention.

Detailed ways

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

Example 1

The electric energy storage system of the present invention is set based on the local electric power map, and the electric power map is distributed with various electric power information such as the location of the user cluster, the power consumption of the user cluster, the electric power structure equipment, the location of the power station, etc., so that the electric power map can be determined according to the power map Electricity generation at the location of the electrical energy storage system.

The present invention determines the site selection position of the electric energy storage system according to the electricity consumption situation of each area and the location of the power station. Specifically, as shown in FIG. 1 , the electric energy storage system includes several energy storage power stations and an arrangement center, and the arrangement center is used to select the location of the energy storage power station, so that it can minimize the power loss in the area where it is located. loss. The layout center includes a modeling module, a processing module and a location selection module, the modeling module is used to construct a power grid information map according to the power map, and send the power grid information map to the processing module and the location selection module; From the power grid information map, the power consumption information of the power consumption area and the location of the power station are obtained, the power grid structure and load characteristics are determined, and the power grid structure and load characteristics are sent to the siting module, which is determined according to the power grid structure and load characteristics. The location of the energy storage power station.

As a further optimization and improvement, the modeling module is also used for modeling and labeling the location of each power consumption area and the location of the power station according to the power map. It is convenient for the later address selection module to perform the address selection operation.

As a further optimization and improvement, the processing module further includes a classification unit and a calculation unit, the classification unit is used to classify the power load level of each power consumption area according to the power loss loss; the calculation unit is used to classify the power load according to the power load level and The power loss frequency of each power consumption area calculates the weight point between each power consumption area.

As a further optimization and improvement, the location selection module is used for calculating the centroid after connecting the weight points according to the weight points between the power consumption areas, and selecting the location for the energy storage power station according to the centroid.

Example 2

The difference between the second embodiment of the present invention and the above is that in the above embodiment, the present invention generally introduces the specific structure of an electric energy storage system based on a power map of the present invention. In this embodiment, the layout center will be introduced in detail. The specific implementation details of the internal related modules.

The classification unit divides the power loss users into multiple levels according to the size of the loss caused by the power supply interruption. The higher the power loss loss, the higher the power load level. The power loss of hospitals and government departments is greater than that of ordinary houses. In the state of power outage, the energy storage power station will give priority to power supply to areas with high power load levels as soon as possible, so as to minimize the loss of power outages. Specifically, the power load level of the equipment is i(1, 2, . . . , m), and m is the number of power load levels.

The calculation module determines the power loss loss of each power consumption area according to the power load level of each power consumption site, that is, the power loss loss of each power loss area is expressed as F _i , i=1, 2, ..., m, the total The expression of theoretical outage loss is:

_minf =Fi -F _sup

In the formula, F _sup is the optimistic value of the power outage loss compensated by the energy storage power station.

F _sup =P _ji tS _i T

In the formula, P _ji represents the output power of the energy storage power station to the i-th level load of the j-th power-loss user; t is the output time of the energy storage power station under P _ji , S _i is the unit power outage loss of the i-th level load, T represents the time that the i-th power-loss user waits for the transmission of electric energy from the energy storage power station.

Therefore, for a power consumption area with the same power load level and the same number of consumers, the closer the energy storage power station is, the shorter the transmission time T, that is, the smaller the overall theoretical power loss loss.

As a further optimization improvement, due to the different frequency probabilities of power failure in each power consumption area, in fact, in order to better reduce the power loss loss of the whole area, the actual power loss loss expression of each power consumption area is as follows:

M _i =F _sup p _i

In the formula, _Mi is the actual loss of power loss in each power consumption area, and _pi is the probability of power loss accident in each power consumption area. The calculation module determines the actual power loss loss of each power consumption area according to M _i , so as to compare the weights between the power consumption areas to determine the weight point between the two.

Specifically, as shown in FIG. 3 , (A, B, C, and D are the four power consumption areas, and N is the weight point between the power consumption areas). According to the ratio of the actual power loss M _i at both ends of the connection, the weights of the two power consumption areas are determined on the connection line, and so on to determine the weight points between all power consumption areas.

The location selection module connects the ownership points to determine the best area for the location of the relevant energy storage power station where the electric energy storage system is located. The location of the Jia energy storage power station.

As a further optimization and improvement, since the position of the centroid of the connection graph of the ownership focus before the calculation by the siting module is uncertain, it is possible that the area where the centroid is located has a building or is not suitable for the construction of an energy storage power station. Therefore, the present invention also includes a verification module. , which is used to check and test the construction point selected by the site selection module to determine whether it is suitable for the construction of the energy storage power station. If the construction point is suitable for construction, the site selection location is determined. site construction.

Example 3

The difference between the third embodiment of the present invention and the above is that in the above embodiment, the location of the energy storage power station can only be selected around the centroid, but in actual circumstances, one energy storage power station may not be able to meet the use of the city requirements, you need to set more than one. In this case, the location selection module selects the power station closest to the centroid of the connection graph of the ownership focus according to the power grid information map of the modeling module to perform distribution and storage settings. On the one hand, this setting reduces the storage power of the energy storage power station. The consumption of transportation, on the other hand, takes care of the loss of power in the area, so that the overall power loss is minimized.

Example 4

A method for arranging an electric energy storage system based on a power map of the present invention, as shown in FIG. 2 , includes the following steps:

Step S1: Determine power grid intelligence information and electricity consumption information according to the power map.

Step S2: Integrate electricity users, divide electricity consumption areas, and determine the power loss per unit time of each electricity consumption area.

Step S3: Determine the optimum point of energy supply between the power consumption areas according to the power loss per unit time of each power consumption area and the power loss probability of each power consumption area.

Step S4: Connect the best energy supply points between the power consumption areas to determine the best energy supply points in the connection areas.

Step S5, selecting the construction location of the energy storage power station according to the best energy supply point.

Specifically, in step S1, the information determined by the power map includes the location of user clusters in the region, the power consumption of the user clusters, the location of power structure equipment and power stations, etc. The above information can provide support for subsequent steps.

In step S2, first determine the power load level of each power user, which is divided according to the actual situation. For example, hospitals, schools, and government departments are the first-level power load level and are the key supply guarantee objects, and their power loss is the largest. Secondly, the electricity users are integrated and merged into electricity consumption areas according to their regional locations to facilitate subsequent power supply management. When merged into electricity consumption areas, the power load level of the electricity consumption area is superimposed by each electricity user, which is related to the electricity consumption area. The power consumption level of each power user is related to the number of users. Therefore, the power loss F _i of each power consumption area is expressed as follows:

F _i =f _i *q

In the formula, f _i is the power loss loss under the power consumption level of the electricity users, and q is the number of users under the power consumption level. Therefore, the power loss of each power consumption area can be accurately calculated.

In step S3, the optimal point of energy supply is the reflection on the connection line of the ratio of the power loss of two adjacent power consumption areas.

In step S4, if there are only two power consumption areas, the optimal construction point of the energy storage power station in the entire area is the best energy supply point on the straight line of the two power consumption areas; if the power consumption areas are greater than or equal to two, As shown in Figure 3, (A, B, C, and D are the four power consumption areas, and N is the best energy supply point between the power consumption areas), then the optimal construction point of the energy storage power station in the overall area is all connected The centroid of the image encircled by the best point of energy supply on the line.

In step S5, when confirming the construction location of the energy storage power station, the optimal energy supply point determined in step S4 is first judged to determine whether other hardware conditions are suitable for the construction of the energy storage power station, such as whether there is a building, terrain or not. Whether it is suitable for construction, etc.; the judgment method is as follows:

If the hardware conditions of the optimal energy supply point are not suitable for the construction of the energy storage power station, the location of the energy storage power station shall be selected according to the principle of proximity near the optimal energy supply point.

If the hardware conditions of the optimal energy supply point meet the construction requirements of the energy storage power station, the optimal energy supply point is determined as the location of the energy storage power station.

At the same time, in step S5, it also includes step S5.1. Specifically, it is to additionally select the location of the energy storage power station. At this time, since the best energy supply point and its surroundings have been selected, the positions of all power stations in the area are calculated. The location distance from the best energy supply point, the nearest power station is selected in turn for distribution and storage. On the one hand, the cost of storage and transportation and labor management costs are reduced, and on the other hand, the minimum power loss in the area is also considered as much as possible. loss.

The various embodiments in this specification are described in a progressive manner, and the same and similar parts between the various embodiments may be referred to each other, and each embodiment focuses on the differences from other embodiments.

For the convenience of description, when describing the above device, the functions are divided into various units and described respectively. Of course, when implementing the present application, the functions of each unit may be implemented in one or more software and/or hardware.

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, etc.) 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 in the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to the processor of a general purpose computer, special purpose computer, embedded processor or other programmable data processing device to produce a machine such that the instructions executed by the processor of the computer or other programmable data processing device produce Means for implementing the functions specified in a flow or flow of a flowchart and/or a block or blocks of a block diagram.

These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory result in an article of manufacture comprising instruction means, the instructions The apparatus implements the functions specified in the flow or flow of the flowcharts and/or the block or blocks of the block diagrams.

It will be appreciated by those skilled in the art that the embodiments of the present application may be provided as a method, a system or a 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, etc.) 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 storage devices.

Secondly: in the drawings of the disclosed embodiments of the present invention, only the structures involved in the embodiments of the present disclosure are involved, other structures may refer to the general design, and the same embodiment and different embodiments of the present invention can be combined with each other under the condition of no conflict;

Finally: the above is only the preferred embodiment of the present invention, and is not intended to limit the present invention. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the present invention. within the scope of protection.

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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