CN116979586B - Energy management method and system for shared energy storage power stations considering cluster division - Google Patents

Abstract

The invention discloses a shared energy storage power station energy management method and system considering cluster division, belonging to the technical field of energy storage, and comprising the following steps: dividing the shared energy storage power station into a plurality of clusters according to requirements, wherein each cluster comprises a plurality of battery energy storage units; according totGenerating a battery energy storage unit parameter table by sharing energy storage power station parameters in time period and participating in market electricity price in cluster; acquisition ofTThe power demand of the power grid on shared energy storage in a period of time; at the position ofTAnd distributing the power of each battery energy storage unit in the power station in a period. The invention adopts the battery energy storage unit cluster division method considering the sharing mechanism, and improves the total income of the shared energy storage power station under the condition of simultaneously considering the battery energy storage unit SOC. The method considers the economy and the SOC consistency at the same time, and meets the schedulability under the condition of ensuring the economy of the system.

Description

Energy management method and system for shared energy storage power stations considering cluster division

Technical field

The present invention relates to the field of energy storage technology. The present invention provides an energy management method and system for a shared energy storage power station that considers cluster division.

Background technique

Battery energy storage system is a technology that stores electrical energy. The system uses several batteries to store electricity. The battery is charged and then released as needed. Battery storage is an increasingly common option for renewable energy producers. In fact, many forward-looking companies have already adopted battery energy storage systems. Battery energy storage systems have been developed on a large scale, but most battery energy storage systems have been idle for a long time, resulting in low utilization efficiency and poor economics.

The patent application with the publication number CN115733189A provides a shared energy storage dispatching method and system based on energy frequency regulation and load demand, including: establishing an objective function for the shared energy storage system to participate in the coordinated dispatch of energy frequency regulation and load demand; integrating the grid side, The relevant parameters of the user side and the shared energy storage system are input into the objective function; according to the objective function constraints and the switching cost of load importance, the objective function is solved by combining with the mixed integer linear programming algorithm to obtain the shared energy storage configuration plan; according to The shared energy storage configuration scheme configures the shared energy storage system, and controls the shared energy storage system to participate in energy collaborative dispatching on the grid side and the user side according to the hierarchical control strategy of the shared energy storage system. The present invention involves the shared energy storage system in the collaborative optimization dispatching of the power grid side and the user side at the same time, and improves the service life of the shared energy storage system through hierarchical control strategies, embodies the application value of the shared energy storage system and improves the utilization of the shared energy storage system. efficiency.

The application uses two energy storage systems with the same capacity, without considering the actual topology of the power station, not refining them into the smallest battery energy storage units, and the control is relatively vague. Only the state-of-charge SOC of the two energy storage systems is subject to threshold constraints, and the SOC of the battery energy storage unit is not considered. In actual operation, the SOC of the battery energy storage unit may reach the threshold and cannot be charged or discharged. This It will reduce the schedulability of the system.

Contents of the invention

In order to solve the problems existing in the existing technology, the present invention provides an energy management method and system for a shared energy storage power station that considers cluster division. The allocation method of the present invention considers both economy and SOC consistency, while ensuring system economy. satisfy schedulability.

The object of the present invention is achieved at least through the following technical solutions:

A first aspect of the present invention provides an energy management method for a shared energy storage power station that considers cluster division, including:

Divide the shared energy storage power station into several clusters, each cluster containing several battery energy storage units;

Generate a battery energy storage unit parameter table based on the parameters of the shared energy storage power station during period t and the electricity price of the cluster participating in the market;

Obtain the power demand for shared energy storage from the grid during T period;

Allocate the power of each battery energy storage unit in the power station within the T period: Based on the battery energy storage unit parameter table, determine the charging or discharging status of the shared energy storage power station according to the required power, and then sort several clusters according to the market electricity price , determine the charging and discharging priority of the cluster; combine the relationship between the demand power and the rated power of the battery energy storage unit in the cluster, and sort the battery energy storage units according to the charging and discharging priority of the cluster; select the battery that needs to be charged or discharged based on the sorting The energy storage unit distributes the power of each battery energy storage unit.

As a further improvement of the present invention, the shared energy storage power station is divided into several clusters, including:

According to the differences in participation in different markets, shared energy storage power stations are divided into clusters participating in the spot market and clusters participating in the ancillary service market.

As a further improvement of the present invention, the shared energy storage power station parameters include status parameters of battery energy storage units.

As a further improvement of the present invention, the battery energy storage unit parameter table includes:

The charging status of each battery energy storage unit i in each cluster during t period ;

electricity prices in the spot market or ancillary services market in which each cluster participates;

The power of the cluster in period t ;

The power rating of the cluster.

As a further improvement of the present invention, the determination of the charging or discharging state of the shared energy storage power station based on the required power includes:

When power is required When, the shared energy storage power station needs to discharge;

When power is required , the shared energy storage power station needs to be charged;

When power is required , shared energy storage power stations do not require charging and discharging.

As a further improvement of the present invention, several clusters are sorted according to the market electricity price and the charging and discharging priorities of the clusters are determined, including:

Sort the electricity prices in the spot market or auxiliary service market of several clusters, and determine the charging and discharging priority of the cluster according to the priority from large to small.

As a further improvement of the present invention, the sequencing of each battery energy storage unit includes:

When discharging, the battery energy storage units in the cluster are sorted from large to small according to their SOC;

When charging, the battery energy storage units in the cluster are sorted from small to large according to their SOC.

As a further improvement of the present invention, the power distribution of each battery energy storage unit in the power station within the T period includes:

The power demand of the power grid for shared energy storage during period t When, the shared energy storage power station needs to be discharged, and the number of battery energy storage units that need to be discharged is/> ;

The two clusters are sorted according to the electricity price during period t , and are divided into two situations:

1) When cluster a participates in the spot market or ancillary service market electricity price , the electricity price of the spot market or ancillary service market in which cluster b participates/> Satisfy:/> , cluster a discharges first, divided into two situations:

When the rated power of cluster a Satisfy:/> , only cluster a discharges, the power of cluster a in period t /> Satisfy:/> , and sort the battery energy storage units in cluster a according to their SOC from large to small; before selection/> The battery energy storage unit is discharged; front/> The power of each battery energy storage unit is/> , and No./> The discharge power of a battery energy storage unit is/> ;

When the rated power of cluster a Satisfy:/> When , cluster a and cluster b discharge at the same time; cluster a discharges first, cluster a discharges according to the rated power, cluster b discharges according to the remaining power,/> , m battery energy storage units in cluster a according to power/> Discharge; the battery energy storage units in cluster b are sorted from large to small according to their SOC; the front in cluster b The power of a battery energy storage unit is/> , No./> The power of a battery energy storage unit is ;

2) when , cluster b is discharged first, divided into two situations:

When the rated power of cluster b Satisfy:/> , only cluster b discharges, then the power of cluster b in period t /> Satisfy:/> , and sort the battery energy storage units in cluster b according to their SOC from large to small; before selection/> The battery energy storage unit is discharged; front/> The power of each battery energy storage unit is/> , No. The discharge power of a battery energy storage unit is/> ;

When the rated power of cluster b Satisfied/> When , cluster b preferentially discharges according to the rated power, and cluster a discharges according to the remaining power: the n battery energy storage units in cluster b all discharge according to the power/> Discharge; the battery energy storage units in cluster a are sorted from large to small according to their SOC, and the front in cluster a/> The power of a battery energy storage unit is/> , No./> The power of a battery energy storage unit is/> .

As a further improvement of the present invention, the power distribution of each battery energy storage unit in the power station within the T period includes:

The power demand of the power grid for shared energy storage during period t , the shared energy storage power station needs to be charged, and the number of battery energy storage units that need to be charged is/> ; According to the cluster electricity price, it is divided into two situations:

1) When cluster a participates in the spot market or ancillary service market electricity price , the electricity price of the spot market or ancillary service market in which cluster b participates/> Satisfy:/> , cluster a is charged first, divided into two situations:

When the rated power of cluster a Satisfy:/> , only cluster a is charging; the power of cluster a in period t /> Satisfy:/> , sort the SOC of the battery energy storage units in cluster a from small to large; before selection battery energy storage unit for charging; front/> The power of each battery energy storage unit is/> , No. The power of a battery energy storage unit is/> ;

When the rated power of cluster a Satisfy:/> When , all battery energy storage units in cluster a are rated according to the rated power/> Charging; sort the SOC of the battery energy storage units in cluster b from small to large; front in cluster b/> The power of a battery energy storage unit is/> , No./> The power of a battery energy storage unit is/> ;

2) when When , cluster b is charged first, which is divided into two situations:

When the rated power of cluster b Satisfy:/> , only cluster b is charged; sort the SOC of the battery energy storage units in cluster b from small to large; before selection/> battery energy storage unit for charging; the front The power of each battery energy storage unit is/> , No./> The power of a battery energy storage unit is/> ;

When the rated power of cluster b Satisfied/> When , the n battery energy storage units in cluster b are rated according to the rated power/> Charging; SOC of battery energy storage units in cluster a is sorted from small to large; front in cluster a/> The power of a battery energy storage unit is/> , No./> The power of a battery energy storage unit is/> .

As a further improvement of the present invention, after allocating the power of each battery energy storage unit in the power station within the T period, it also includes:

If it is judged that t < T , then the battery energy storage unit parameter table is generated based on the parameters of the shared energy storage power station during the t + 1 period and the cluster's participation in the market electricity price, and power distribution is performed cyclically; until t ≥ T , the power distribution ends.

A second aspect of the present invention provides an energy management system for a shared energy storage power station that considers cluster division, including:

The cluster division module is used to divide the shared energy storage power station into several clusters according to demand, and each cluster contains several battery energy storage units;

The parameter table generation module is used to generate a battery energy storage unit parameter table based on the parameters of the shared energy storage power station in period t and the electricity price of the cluster participating in the market;

The demand power acquisition module is used to obtain the demand power of the power grid for shared energy storage during T period;

The power distribution module is used to allocate the power of each battery energy storage unit in the power station within the T period: based on the battery energy storage unit parameter table, determine the charging or discharging state of the shared energy storage power station according to the required power, and then according to the market The electricity price sorts several clusters and determines the charging and discharging priority of the cluster; combined with the relationship between the demand power and the rated power of the battery energy storage units in the cluster, the battery energy storage units are sorted according to the charging and discharging priority of the cluster; select according to the sorting Battery energy storage units that need to be charged or discharged distribute the power of each battery energy storage unit.

A third aspect of the present invention provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. The processor implements the considerations when executing the computer program. Energy management method for shared energy storage power stations divided into clusters.

A fourth aspect of the present invention provides a computer-readable storage medium that stores a computer program. When the computer program is executed by a processor, the energy management method for a shared energy storage power station considering cluster division is implemented.

Compared with the prior art, the beneficial effects of the present invention are as follows:

In view of the economic problems caused by large-scale energy storage power stations, the present invention proposes an energy management method for shared energy storage power stations that considers cluster division. The shared energy storage power station is divided into several clusters according to needs to participate in different markets. Each cluster contains Several battery energy storage units generate a battery energy storage unit parameter table based on the parameters of the shared energy storage power station and the electricity price of the cluster participating in the market, sort the battery energy storage units, and select the corresponding battery energy storage unit according to the sorting in the battery energy storage unit parameter table. Used for power allocation, calculate the power of all selected battery energy storage units and distribute it to the corresponding battery energy storage units. Adopting a battery energy storage unit cluster division method that considers the sharing mechanism can also improve the total revenue of the shared energy storage power station while taking into account the SOC of the battery energy storage unit. First, shared energy storage power stations are divided into different clusters to participate in different markets. Secondly, by establishing a real-time battery energy storage unit parameter table including the electricity price of the cluster participating in the power market and battery energy storage unit SOC, and sorting each battery energy storage unit, and finally achieving reasonable distribution of power to maximize benefits.

Description of drawings

In order to explain the embodiments of the present invention or the technical solutions in the prior art more clearly, the following is an introduction to the accompanying drawings of the embodiments of the present invention or the relevant technical solutions in the prior art. It should be understood that the drawings in the following introduction are only In order to facilitate and clearly describe some embodiments of the technical solutions of the present invention, those skilled in the art can also obtain other drawings based on these drawings without exerting creative efforts.

Figure 1 is a flow chart of an energy management method for a shared energy storage power station considering cluster division according to an embodiment of the present invention;

Figure 2 is a flow chart of the energy management method for a shared energy storage power station considering cluster division given in the embodiment;

Figure 3 is a schematic diagram of the topological structure of a shared energy storage power station divided into clusters according to the embodiment;

Figure 4 shows the power demand curve of a shared energy storage power station from the power grid;

Figure 5 shows the electricity price curve in the spot market and ancillary service market;

Figure 6(a) is the power curve of cluster a; Figure 6(b) is the power curve of cluster b;

Figure 7 shows the SOC curve of the cluster in the shared energy storage power station;

Figure 8 shows the SOC curve of each battery storage unit in a shared energy storage power station (Method 1);

Figure 9 is a comparison chart of the SOC curves of each battery energy storage unit in a shared energy storage power station (Method 2);

Figure 10 is a comparison chart of the SOC curves of cluster a and cluster b (method 2);

Figure 11 (a) Cluster a output power curve (method 2); Figure 11 (b) Cluster b output power curve (method 2);

Figure 12 shows the SOC curve of each battery energy storage unit in a shared energy storage power station (Method 3);

Figure 13 shows the SOC curves of cluster a and cluster b (method 3);

Figure 14(a) The output power curve of cluster a (method 3), Figure 14(b) The output power curve of cluster b (method 3);

Figure 15 is a shared energy storage power station energy management system considering cluster division provided by the present invention;

Figure 16 is a schematic diagram of an electronic device provided by the present invention.

Detailed ways

Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements with the same or similar functions. The embodiments described below with reference to the drawings are exemplary and are only used to explain the present invention and cannot be understood as limiting the present invention. The step numbers in the following embodiments are only set for the convenience of explanation. The order between the steps is not limited in any way. The execution order of each step in the embodiments can be adapted according to the understanding of those skilled in the art. sexual adjustment.

In the description of the present invention, several means one or more, plural means two or more, greater than, less than, more than, etc. are understood to exclude the original number, and above, below, within, etc. are understood to include the original number. If there is a description of first and second, it is only for the purpose of distinguishing technical features, and cannot be understood as indicating or implying the relative importance or implicitly indicating the number of indicated technical features or implicitly indicating the order of indicated technical features. relation.

Battery energy storage systems have been developed on a large scale, but most battery energy storage systems have been idle for a long time, resulting in low utilization efficiency and poor economics. When two or more independent energy storage systems work together, the use of a shared energy storage system can make full use of the advantages of different energy storage systems, improve work efficiency, and reduce system construction costs. On this basis, the present invention proposes an energy management method and system for a shared energy storage power station that considers cluster division. This method can be applied to practical application scenarios such as energy storage participating in the spot market, peak shaving, and frequency modulation.

As shown in Figure 1, the first purpose of the present invention is to provide an energy management method for a shared energy storage power station that considers cluster division, including:

S1, divide the shared energy storage power station into several clusters according to demand, and each cluster contains several battery energy storage units;

S2, generate a battery energy storage unit parameter table based on the parameters of the shared energy storage power station in period t and the electricity price of the cluster participating in the market;

S3, obtain the power demand for shared energy storage from the grid during T period;

S4, allocate the power of each battery energy storage unit in the power station within the T period: Based on the battery energy storage unit parameter table, determine the charging or discharging state of the shared energy storage power station according to the required power, and then allocate power to several clusters according to the market electricity price. Sort and determine the charging and discharging priority of the cluster; combine the relationship between the demand power and the rated power of the battery energy storage unit in the cluster, and sort each battery energy storage unit according to the charging and discharging priority of the cluster; select the required charging or discharging according to the sorting The battery energy storage unit distributes the power of each battery energy storage unit.

This invention considers the method of dividing energy storage power station clusters. Each cluster contains several battery energy storage units, and different clusters participate in different markets respectively. This method simultaneously considers the contribution of economy and SOC consistency to carry out the energy storage power station power allocation method to ensure It improves system economy and has certain dispatchability.

In addition, the present invention adopts a battery energy storage unit cluster division method that takes into account the sharing mechanism. Each cluster contains several battery energy storage units, and different clusters participate in different markets; the shared energy storage power station power distribution method adopted takes into account the SOC and battery energy storage unit Maximum benefit.

As an optional solution to the above embodiment, in S1, the shared energy storage power station is divided into several clusters according to needs, including: clusters participating in the spot market and clusters participating in the ancillary service market. Of course, the division can be appropriately performed according to market conditions. Multiple clusters.

As an optional solution to the above embodiment, in S2, the shared energy storage power station parameters include status parameters of battery energy storage units, and the battery energy storage unit parameter table includes: each battery energy storage unit i in each cluster at t time period , the electricity price of the spot market or ancillary service market in which each cluster participates, the power of the cluster in period t and the rated power of the cluster.

As an optional solution to the above embodiment, in S4, determining the charging or discharging state of the shared energy storage power station according to the required power includes:

When power is required When, the shared energy storage power station needs to discharge;

When power is required , the shared energy storage power station needs to be charged;

When power is required , shared energy storage power stations do not require charging and discharging.

Among them, the method of sorting several clusters according to the market electricity price and determining the charging and discharging priority of the cluster includes: sorting according to the size of the electricity price of the spot market or ancillary service market of several clusters, and sorting from large to small priority. , determine the charging and discharging priority of the cluster.

More specifically, the sequencing of each battery energy storage unit includes:

When discharging, the battery energy storage units in the cluster are sorted from large to small according to their SOC;

When charging, the battery energy storage units in the cluster are sorted from small to large according to their SOC.

The present invention adopts an iterative loop algorithm. After the power allocation is completed during the t period, it also includes:

If it is judged that t < T, then the battery energy storage unit parameter table is generated based on the parameters of the shared energy storage power station during the t + 1 period and the cluster's participation in the market electricity price, and the power distribution is performed cyclically; until t ≥ T, the power distribution ends.

This solution proposes to divide the shared energy storage power station into several clusters to participate in different markets respectively. Two clusters participate in the spot market and the auxiliary service market respectively as an example for illustration. As shown in Figure 2, the present invention proposes to consider the shared energy storage of cluster division. Flow chart of power plant energy management method.

The specific implementation process is as follows:

Step 1: Divide the shared energy storage power station into several clusters;

Taking a shared energy storage power station containing two clusters as an example, the shared energy storage power station is divided into cluster a and cluster b. Cluster a contains m battery energy storage units and participates in the spot market. Cluster b contains n battery energy storage units and participates in the ancillary service market. The shared energy storage power station proposed by the present invention is shown in Figure 3. The shared energy storage power station contains several clusters, and each cluster contains several battery energy storage units.

Step 2: Make a battery energy storage unit parameter table based on the status parameters of each cluster and battery energy storage unit in period t.

Table 1 is a battery energy storage unit parameter table generated based on the status of each cluster and battery energy storage unit of the shared energy storage power station during t period. Among them the charging status is the charge state SOC of battery energy storage unit i in period t ;/> , represent the electricity price in the spot market or ancillary service market in which cluster a and cluster b participate respectively, and the electricity price in period t , ,/> are the power of cluster a and cluster b in period t respectively,/> ,/> are the rated power of cluster a and cluster b respectively,/> is the rated power of a battery energy storage unit.

Table 1 Parameter table of battery energy storage unit

Step 3: Obtain the power demand for shared energy storage from the power grid during period t ;

Step 4: Distribute the power of each battery energy storage unit in the power station during T period:

1. When power is required When, the shared energy storage power station needs to be discharged, and the number of battery energy storage units that need to be discharged is/> , as shown in formula (1). Where [ x ] represents rounding x up.

(1)

The two clusters are sorted according to the electricity price during period t , and are divided into two situations:

(1) When , in order to maximize revenue, cluster a is discharged first, which can be divided into two situations:

When the rated power of cluster a Satisfy:/> At this time, only cluster a is discharging, so the rated power of cluster a/> The power required by the power grid for shared energy storage is equal to/> , and sort the battery energy storage units in cluster a from large to small according to their SOC. Before selection/> The battery energy storage unit is discharged. Previous/> The power of each battery energy storage unit is/> , and No./> The discharge power of a battery energy storage unit is/> .

The final allocated battery energy storage unit power is:

(2)

When the rated power of cluster a Satisfy:/> When cluster a and cluster b discharge at the same time. Since cluster a discharges first, cluster a discharges according to the rated power, and cluster b discharges according to the remaining power, so/> , all m battery energy storage units in cluster a are rated power/> Discharge. For cluster b, sort the battery energy storage units in group b according to their SOC from large to small. At this time, cluster b is in front/> The power of a battery energy storage unit is/> , No./> The power of a battery energy storage unit is/> .

(2) When , cluster b is discharged first, and there are two situations at this time:

When the rated power of cluster b Satisfy:/> , only cluster b is discharging at this time, so the power of cluster b is equal to the power demand of the power grid for shared energy storage, that is/> , and sort the battery energy storage units in cluster b according to their SOC from large to small. Before selection/> The battery energy storage unit is discharged. Previous/> The power of each battery energy storage unit is/> , and No./> The discharge power of a battery energy storage unit is/> .

When the rated power of cluster b Satisfied/> When , cluster a and cluster b discharge at the same time. Since cluster b discharges first, cluster b discharges according to the rated power, and cluster a discharges according to the remaining power, so/> , all n battery energy storage units in cluster b are rated according to the rated power/> Discharge. For cluster a, sort the battery energy storage units in group a from large to small according to their SOC. At this time, cluster a is in front/> The power of a battery energy storage unit is/> , No./> The power of a battery energy storage unit is/> .

2. When , the shared energy storage power station needs to be charged, and the number of battery energy storage units that need to be charged is ,satisfy:

(3)

Similarly, there are two situations according to the cluster electricity price:

(1) When , in order to maximize revenue, cluster a gives priority to charging. At this time, there are two situations:

When the rated power of cluster a Satisfy:/> , the power of cluster a is equal to the power demand of the grid for shared energy storage, that is/> , only cluster a is charged. Sort the SOC of the battery energy storage units in cluster a from small to large. Before selection/> A battery energy storage unit is charged. before/> The power of each battery energy storage unit is/> , No./> The power of a battery energy storage unit is/> .

When the rated power of cluster a Satisfy:/> When,/> , all battery energy storage units in cluster a are rated power/> Charge. For cluster b, sort the SOC of the battery energy storage units in cluster b from small to large. At this time, the front of cluster b/> The power of a battery energy storage unit is/> , No./> The power of a battery energy storage unit is/> .

(2) When When , cluster b is charged first. There are two situations at this time:

When the rated power of cluster b Satisfy:/> , the power of cluster b is equal to the power demand of the grid for shared energy storage, that is/> , only cluster b is charged. Sort the SOC of the battery energy storage units in cluster b from small to large. Before selection/> A battery energy storage unit is charged. before/> The power of each battery energy storage unit is/> , No./> The power of a battery energy storage unit is/> .

When the rated power of cluster b Satisfied/> When,/> , all battery energy storage units in cluster b are rated according to the rated power/> Charge. For cluster a, sort the SOC of the battery energy storage units in cluster a from small to large. At this time, in cluster a, the front/> The power of a battery energy storage unit is/> , No./> The power of a battery energy storage unit is/> .

If the shared energy storage power station is divided into three or more clusters to participate in different markets, the principle is the same as this method. Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. In this way, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and equivalent technologies, the present invention is also intended to include these modifications and variations.

The capacity of the shared energy storage power station used in this part of the simulation example is 50MW/100MW/h. The shared energy storage power station includes a total of 100 battery energy storage units, and each battery energy storage unit has a different initial SOC. Each unit has a rated power of 0.5MW and a capacity of 1MW/h.

Scenarios in which shared energy storage power stations participate in transactions in the spot market or ancillary service market are simulated. The shared energy storage devices used are divided into two clusters (cluster a and cluster b), each cluster containing 50 battery energy storage units. Each time period is 3 minutes long, with a total of T=1440min. The demand power from the grid is shown in Figure 4, and Figure 5 shows the spot market and ancillary service market electricity prices. Using two methods to compare and analyze the one-day profit L , it satisfies:

(4)

In order to better reflect the advantages of the shared energy storage power station energy management method (denoted as method 1) that takes into account economic efficiency and considers cluster division provided by the present invention, the following three methods are now comparatively analyzed.

Method 2: BESS-based photovoltaic and wind power generation fluctuation smoothing control [J], Li Xiangjun et al., IEEE Transactions on Sustainable Energy, 2013.4 (2): 464-473; proposed a SOC feedback control method and real-time power allocation method, when When the shared energy storage power station is discharging, the discharge power of battery energy storage unit i satisfies:

(4)

When the shared energy storage power station is charging, the charging power of battery energy storage unit i satisfies:

(5)

Calculate the power of the battery energy storage unit according to equations (4) and (5). When the limit is exceeded, the power of the battery energy storage unit is equal to the rated power. The remaining power is distributed to the remaining battery energy storage units according to the above two equations, namely:

(7)

(8)

Method 3: SOC feedback control real-time power allocation method considering price coefficient. Since the second method does not consider the price factor, the present invention proposes SOC feedback control that considers the price coefficient and defines the price coefficient ,/> satisfy:

(9)

(10)

(1) When the shared energy storage power station discharges, the discharge power when battery energy storage unit i belongs to cluster a satisfies:

(11)

When battery energy storage unit i belongs to cluster b, the discharge power satisfies:

(12)

(2) When the shared energy storage power station is charging, the charging power when the battery energy storage unit i belongs to cluster a satisfies:

(13)

When battery energy storage unit i belongs to cluster b, the charging power satisfies:

(14)

When using method 1, as shown in Figure 6(a), Figure 6(b) and Figure 7, before T=840min, the spot market electricity price is low, cluster a has priority in charging, while the ancillary service market electricity price is high, cluster b Discharge is given priority. During this period, the SOC of cluster a continues to increase, and the SOC of cluster b continues to decrease. After T=840min, the electricity price in the ancillary service market is higher, cluster a gives priority to discharge, and cluster b gives priority to charging. During this period, cluster a The SOC of cluster a continues to decrease, and the SOC of cluster b continues to increase. As can be seen, the maximum power of each cluster is 25MW. When the power demand of the shared energy storage power station is greater than 25MW, the cluster with higher priority will charge and discharge at rated power, and the cluster with lower priority will supplement the remaining demand of the grid. The specific data are shown in Table 2, where positive power values represent discharge and negative power values represent electricity storage.

Table 2 Power per cluster

As shown in Figure 8, the SOC curves of multiple battery energy storage units were simulated using Method 1. As time goes by, the SOCs of battery energy storage units in different clusters begin to differ. Before T=840min, cluster a is mainly charging and the SOC gradually increases; cluster b is mainly discharging and the SOC gradually decreases. After T=840min, cluster a is mainly discharging and SOC gradually decreases; cluster b is mainly charging and SOC gradually increases. The method proposed by the present invention maximizes revenue on the basis of ensuring the SOC consistency of each battery energy storage unit.

Method 2: As shown in Figure 9, method 2 is used to simulate the SOC curves of multiple battery energy storage units. The SOC of each battery energy storage unit in the shared energy storage power station will gradually be balanced. As shown in Figure 10, Figure 11(a) and Figure 11(b), since the market electricity price factor is not considered, the SOC change trend of cluster a and cluster b is the same, and the power is also relatively close.

Using method three: As shown in Figure 12, using method three to simulate the SOC curves of multiple battery energy storage units, the SOC of cluster a and cluster b can finally achieve good consistency. As shown in Figure 13 at t =1100min, the SOC of cluster a and cluster b become different levels due to the price coefficient.

As shown in Figure 14(a) and Figure 14(b), it can be seen that the price coefficient obviously affects the power of cluster a and cluster b. When the spot market price is low, cluster a has priority in charging and cluster b has priority in discharging. When the spot market price is higher, cluster a has priority in discharging and cluster b has priority in charging. Table 3 shows the benefits obtained by calculating the three methods through formula (8). Among them, the shared energy storage power station energy management method proposed by the present invention that considers economics has the highest income, the SOC feedback control method that does not consider economics has the lowest income, and the SOC feedback control real-time power distribution method that considers the price coefficient has the income between the two. .

Table 3 One-day income of shared energy storage power station under three methods

In summary, the method of the present invention considers the sharing mechanism of battery energy storage unit cluster division and participates in different markets; it is a power allocation method based on demand power, battery energy storage unit SOC, and cluster participation in market electricity prices, and has the following advantages:

1) Provide a battery energy storage unit cluster division method that takes into account the sharing mechanism. Battery energy storage units in shared energy storage can be combined into clusters to participate in different power markets, improving the efficiency of shared energy storage power stations;

2) Establish a real-time battery energy storage unit parameter table including the power market transaction price and battery energy storage unit SOC that the cluster participates in, and perform real-time power allocation for each battery energy storage unit to ensure economy and SOC consistency.

As shown in Figure 15, the second purpose of the embodiment of the present invention is to provide an energy management system for shared energy storage power stations that considers cluster division, including:

The cluster division module is used to divide the shared energy storage power station into several clusters according to demand, and each cluster contains several battery energy storage units;

The parameter table generation module is used to generate a battery energy storage unit parameter table based on the parameters of the shared energy storage power station in period t and the electricity price of the cluster participating in the market;

The demand power acquisition module is used to obtain the demand power of the power grid for shared energy storage during T period;

The power distribution module is used to allocate the power of each battery energy storage unit in the power station within the T period: based on the battery energy storage unit parameter table, determine the charging or discharging state of the shared energy storage power station according to the required power, and then according to the market The electricity price sorts several clusters and determines the charging and discharging priority of the cluster; combined with the relationship between the demand power and the rated power of the battery energy storage units in the cluster, the battery energy storage units are sorted according to the charging and discharging priority of the cluster; select according to the sorting Battery energy storage units that need to be charged or discharged distribute the power of each battery energy storage unit.

The content of the energy management system for a shared energy storage power station that considers cluster division in the present invention is consistent with the energy management method for a shared energy storage power station that considers cluster division.

As shown in Figure 16, the third object of the embodiment of the present invention is to provide an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the computer program is executed by the computer, the shared energy storage power station energy management method considering cluster division is implemented.

The fourth object of the embodiments of the present invention is to provide a computer-readable storage medium that stores a computer program. When the computer program is executed by a processor, the shared energy storage considering cluster division is implemented. Power plant energy management methods.

The above energy management methods for shared energy storage power stations that consider cluster division include:

S1, divide the shared energy storage power station into several clusters according to demand, and each cluster contains several battery energy storage units;

S2, generate a battery energy storage unit parameter table based on the parameters of the shared energy storage power station in period t and the electricity price of the cluster participating in the market;

S3, obtain the power demand for shared energy storage from the grid during T period;

S4, allocate the power of each battery energy storage unit in the power station within the T period: Based on the battery energy storage unit parameter table, determine the charging or discharging state of the shared energy storage power station according to the required power, and then allocate power to several clusters according to the market electricity price. Sort and determine the charging and discharging priority of the cluster; combine the relationship between the demand power and the rated power of the battery energy storage unit in the cluster, and sort each battery energy storage unit according to the charging and discharging priority of the cluster; select the required charging or discharging according to the sorting The battery energy storage unit distributes the power of each battery energy storage unit.

Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that the present invention can still be modified. Modifications or equivalent substitutions may be made to the specific embodiments of the present invention, and any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention shall be covered by the scope of the claims of the present invention. Those skilled in the art will understand that the present invention Embodiments may be provided as methods, systems, or computer program products. Thus, the invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the 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 process and/or block in the flowchart illustrations and/or block diagrams, and combinations of processes 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 a 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 a use A device for realizing the functions specified in a process or processes in a flowchart and/or a block or blocks in a block diagram.

These computer program instructions may also be stored in a computer-readable memory that causes a computer or other programmable data processing apparatus to operate in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including the instruction means, the instructions The device implements the functions specified in a process or processes in the flowchart and/or in a block or blocks in the block diagram.

These computer program instructions may also be loaded onto a computer or other programmable data processing device, causing a series of operating steps to be performed on the computer or other programmable device to produce computer-implemented processing, thereby executing on the computer or other programmable device. Instructions provide steps for implementing the functions specified in a process or processes of a flowchart diagram and/or a block or blocks of a block diagram.

Claims (11)

1. A shared energy storage power station energy management method considering cluster division, comprising:

dividing the shared energy storage power station into a plurality of clusters, wherein each cluster comprises a plurality of battery energy storage units;

according totGenerating a battery energy storage unit parameter table by sharing energy storage power station parameters in time period and participating in market electricity price in cluster;

acquisition ofTTime period ofThe internal power grid is used for sharing the power required by energy storage;

at the position ofTThe power of each battery energy storage unit in the power station is distributed in a period: based on the battery energy storage unit parameter table, judging the state of charge or discharge required by the shared energy storage power station according to the required power, sequencing a plurality of clusters according to the market electricity price, and determining the charge and discharge priority of the clusters; the method comprises the steps of combining the relation between the required power and rated power of battery energy storage units in a cluster, and sequencing the battery energy storage units according to the charge-discharge priority of the cluster; selecting battery energy storage units to be charged or discharged according to the sequence, and distributing the power of each battery energy storage unit;

The atTThe method for distributing the power of each battery energy storage unit in the power station in the time period comprises the following steps:

when (when)tDemand power of time period power grid for shared energy storageWhen the shared energy storage power station needs to discharge, the number of battery energy storage units needing to be discharged is +.>；

According totThe time period electricity prices order the two clusters, and are divided into two cases:

1) Electricity prices in spot markets or auxiliary service markets where cluster a participatesElectric price of spot market or auxiliary service market participated in by group b +.>The method meets the following conditions: />Cluster a discharges preferentially, divided into two cases:

when the rated power of cluster aThe method meets the following conditions: />Only cluster a discharges, cluster a istPower of time periodThe method meets the following conditions: />The battery energy storage units in the cluster a are ordered from big to small according to the SOC; before selecting->Discharging the battery energy storage units; front->The power of each battery energy storage unit is +.>And (1)The discharge power of the individual battery energy storage units is +.>；

When the rated power of cluster aThe method meets the following conditions: />When the current is in the same time, the cluster a and the cluster b discharge simultaneously; cluster a discharges preferentially, cluster a discharges according to rated power, cluster b discharges according to residual power, +.>In cluster amThe power of each battery energy storage unit is->Discharging; the battery energy storage units in the cluster b are ordered from big to small according to the SOC; front in cluster b The power of the individual battery energy storage units is +.>First->The power of each battery energy storage unit is；

2) When (when)Cluster b discharges preferentially, divided into two cases:

when the rated power of cluster bThe method meets the following conditions: />Only cluster b discharges, cluster b is thentPower of time periodThe method meets the following conditions: />The battery energy storage units in the cluster b are ordered from big to small according to the SOC; before selecting->Discharging the battery energy storage units; front->The power of each battery energy storage unit is +.>First->The discharge power of the individual battery energy storage units is +.>；

When the rated power of cluster bSatisfy->When the cluster b is preferentially discharged according to rated power, the cluster a is discharged according to residual power: the n battery energy storage units in the cluster b are all according to the power +.>Discharging; the battery energy storage units in the cluster a are ordered from big to small according to the SOC, and the front part of the cluster a is +.>The power of the individual battery energy storage units is +.>First->The power of the individual battery energy storage units is +.>；

The power distribution of each battery energy storage unit in the power station in the T period comprises the following steps:

when (when)tDemand power of time period power grid for shared energy storageThe shared energy storage power station needs to be charged, and the number of battery energy storage units needing to be charged is +.>The method comprises the steps of carrying out a first treatment on the surface of the According to the cluster electricity price, two situations are classified:

1) Electricity prices in spot markets or auxiliary service markets where cluster a participates Electric price of spot market or auxiliary service market participated in by group b +.>The method meets the following conditions: />Cluster a charges preferentially, and is divided into two cases:

when the rated power of cluster aThe method meets the following conditions: />Only cluster a is charged; cluster a is attPower of period->The method meets the following conditions: />Sequencing the SOC of the battery energy storage units in the cluster a from small to large; before selectionThe battery energy storage units are charged; front->The power of each battery energy storage unit is +.>First, theThe power of each battery energy storage unit is->；

When the rated power of cluster aThe method meets the following conditions: />When all battery energy storage units in cluster a are rated at power +.>Charging; sequencing the SOC of the battery energy storage units in the cluster b from small to large; front>The power of the individual battery energy storage units is +.>First->The power of the individual battery energy storage units is +.>；

2) When (when)When the cluster b is charged preferentially, two cases are divided:

when the rated power of cluster bThe method meets the following conditions: />Only cluster b is charged; sequencing the SOC of the battery energy storage units in the cluster b from small to large; before->The battery energy storage units are charged; wherein front->The power of each battery energy storage unit is +.>First->The power of each battery energy storage unit is->；

When the rated power of cluster bSatisfy->In cluster b nThe energy storage units of the batteries are ratedCharging; the SOC of the battery energy storage units in the cluster a are ordered from small to large; front +.>The power of the individual battery energy storage units is +.>First->The power of the individual battery energy storage units is +.>。

2. The shared energy storage power station energy management method considering cluster division as claimed in claim 1, wherein said dividing the shared energy storage power station into clusters comprises:

the shared energy storage power stations are divided into clusters participating in spot markets and clusters participating in auxiliary service markets according to the different markets.

3. The shared energy storage power station energy management method considering cluster partitioning of claim 1, wherein the shared energy storage power station parameters comprise state parameters of battery energy storage units.

4. The shared energy storage power station energy management method considering cluster division as claimed in claim 1, wherein the battery energy storage unit parameter table comprises:

each battery energy storage unit in each clusteriAt the position oftState of charge of a time period；

The electricity price of the spot market or auxiliary service market participated in by each cluster;

cluster is attPower of the time period;

the power rating of the cluster.

5. The method for energy management of a shared energy storage power station taking into account cluster division according to claim 1, wherein determining a charge or discharge state required for the shared energy storage power station according to the required power comprises:

When the power is requiredWhen the shared energy storage power station needs to discharge;

when the power is requiredThe shared energy storage power station needs to be charged;

when the power is requiredThe shared energy storage power station does not need to be charged and discharged.

6. The method for energy management of a shared energy storage power station with respect to cluster division according to claim 1, wherein the sorting the clusters according to market price to determine the charge-discharge priority of the clusters comprises:

and sorting according to the electricity prices of the spot markets or the auxiliary service markets of the clusters, and determining the charging and discharging priorities of the clusters according to the priorities from large to small.

7. The shared energy storage power station energy management method considering cluster division as claimed in claim 1, wherein said ordering each battery energy storage unit comprises:

during discharging, the battery energy storage units in the cluster are ordered from big to small according to the SOC;

during charging, the battery energy storage units in the cluster are ordered from small to large according to the SOC.

8. The shared energy storage power station energy management method considering cluster division as claimed in any one of claims 1-7, wherein said atTThe method for distributing the power of each battery energy storage unit in the power station in the period further comprises the following steps:

Judging if it ist＜TAccording totThe +1 time period shares the energy storage power station parameter and the cluster participates in the market electricity price to generate a battery energy storage unit parameter table, and power distribution is circularly carried out; up tot≥TThe power allocation ends.

9. A shared energy storage power station energy management system taking into account cluster division, based on the shared energy storage power station energy management method taking into account cluster division according to any one of claims 1-7, comprising:

the cluster dividing module is used for dividing the shared energy storage power station into a plurality of clusters according to requirements, and each cluster comprises a plurality of battery energy storage units;

a parameter table generating module for generating a parameter table according totGenerating a battery energy storage unit parameter table by sharing energy storage power station parameters in time period and participating in market electricity price in cluster;

a required power acquisition module for acquiringTThe power demand of the power grid on shared energy storage in a period of time;

a power distribution module for use inTThe power of each battery energy storage unit in the power station is distributed in a period: based on the battery energy storage unit parameter table, judging the state of charge or discharge required by the shared energy storage power station according to the required power, sequencing a plurality of clusters according to the market electricity price, and determining the charge and discharge priority of the clusters; the method comprises the steps of combining the relation between the required power and rated power of battery energy storage units in a cluster, and sequencing the battery energy storage units according to the charge-discharge priority of the cluster; and selecting battery energy storage units needing to be charged or discharged according to the sequence, and distributing the power of each battery energy storage unit.

10. An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the shared storage power plant energy management method of any one of claims 1-7 taking into account cluster partitioning when executing the computer program.

11. A computer readable storage medium, characterized in that it stores a computer program, which when executed by a processor implements the shared energy storage power station energy management method taking into account cluster division according to any of claims 1-7.