JP2024008787A - Control method of hybrid energy storage system, device and electronic apparatus - Google Patents

Abstract

PROBLEM TO BE SOLVED: To disclose a control method of a hybrid energy storage system, a device and an electronic apparatus and to provide the control method of the hybrid energy storage system, the device and the electronic apparatus which realize a function for comprehensively performing smoothing of wind power/photovoltaic output power and primary frequency modulation of a grid.

SOLUTION: A method performs output at a current point of time according to output power allocated to a different energy storage element by acquiring wind power/photovoltaic output power at the current point of time, calculating smoothing output power for smoothing wind power/photovoltaic output power fluctuation on the basis of the wind power/photovoltaic output power, acquiring grid frequency variation at the current point of time, calculating frequency modulation output power on the basis of the grid frequency variation, obtaining energy storage total output power by fusing the smoothing output power and the frequency modulation output power, decomposing the energy storage total output power and allocating output power after decomposition to a corresponding energy storage unit.

SELECTED DRAWING: Figure 1

COPYRIGHT: (C)2024,JPO&INPIT

Description

TECHNICAL FIELD The present invention relates to the field of wind and solar power generation, and specifically relates to a control method, apparatus, and electronic equipment for a hybrid energy storage system.

With the advancement of wind and solar power new energy power plants, hybrid energy storage systems are widely used in wind and solar power generation fields to solve the grid interconnection effects of wind and solar power generation. Due to uncertainties in wind speed and sunlight, wind and solar power outputs are highly random, variable and intermittent. First, if the proportion of installed wind and solar capacity to the total system capacity is small, fluctuations in wind and solar output will not have a negative impact on the grid, but if the wind and solar capacity connected to the grid As electricity increases, the effects of wind and solar output characteristics such as randomness, variability and intermittency on the safe and stable operation of the power system will become more and more significant, and the quality of the original electrical energy will deteriorate significantly. , whereby fluctuations in wind and solar power cause fluctuations in wind and solar output power, and power fluctuations in turn cause grid frequency fluctuations. Since then, the technology of fluctuation smoothing and primary frequency modulation of wind and solar power based on hybrid energy storage systems (energy storage systems that combine different types of energy storage units) has been developed. However, the conventional technology only involves the smoothing of wind/solar power generation output power by the hybrid energy storage system or the primary frequency modulation of the grid by the hybrid energy storage system, and the above two There is still no control method for hybrid energy storage systems that can comprehensively solve the problem.

In view of this, embodiments of the present invention provide a hybrid energy storage system control method, device and electronic equipment, thereby comprehensively controlling the smoothing of wind and solar output power and the primary frequency modulation of the grid. Achieve the functionality you want to perform.

According to a first aspect, embodiments of the present invention provide a method for controlling a hybrid energy storage system, the method comprising: obtaining wind/solar output power at a current point in time; and based on the wind/solar output power. the step of calculating the smoothed output power of the hybrid energy storage system for smoothing the wind/solar power output power fluctuation using calculating a frequency modulated output power of the storage system; fusing the smoothed output power and the frequency modulated output power to obtain a total energy storage output power; and combining the energy storage total output power with the hybrid energy storage decomposing according to the characteristics of different energy storage units of the system and allocating the output power after decomposition to the corresponding energy storage unit, so that the different energy storage elements output power at the current time according to the assigned output power. .

Optionally, the step of calculating a smoothed output power of a hybrid energy storage system for smoothing wind and solar output power fluctuations based on the wind and solar output power includes: a step of low-pass filtering to obtain grid-connected power representing the actual needs of the grid-connection point; a step of optimizing said grid-connected power; The method includes a step of calculating a difference from the system power and using the obtained difference as the smoothed output power.

Selectably, the step of optimizing the grid-connected power includes the step of creating an objective function based on the current grid-connected power fluctuation range, and optimizing the grid-connected power based on the objective function. .

Selectably, the step of creating an objective function based on the grid-connected power variation range at the current point in time includes the grid-connected power variation range at the current point in time, the output size of the hybrid energy storage system, and the hybrid energy storage system responsive to the power system, respectively. creating sub-objective functions for the amount of frequency offset of the energy storage system, the frequency change rate of the hybrid energy storage system in response to the power system, and the range of wind/solar output power fluctuation at the next time; and each sub-objective function. combining the objective function with the objective function.

Selectably, the step of optimizing the grid-tied power based on the objective function comprises initializing a plurality of candidate grid-tied powers based on the grid-tied power; and optimizing the grid-tied power based on the objective function. optimizing the plurality of candidate grid-connected power sources using the carnivorous plant algorithm as a fitness function of the insect plant algorithm, and finding an optimal grid-connected power source from the plurality of candidate grid-connected power sources; .

Optionally, the energy storage unit of the hybrid energy storage system includes a lithium ion battery and a supercapacitor.

Selectably, the step of decomposing the total energy storage output power according to the characteristics of different energy storage units of the hybrid energy storage system and allocating the decomposed output power to the corresponding energy storage units comprises: and allocating the low frequency component to the lithium ion battery and the high frequency component to the supercapacitor.

According to a second aspect, an embodiment of the present invention provides a control device for a hybrid energy storage system, wherein the device obtains current wind/solar output power and adjusts the wind/solar output power to A smoothing output module for calculating the smoothed output power of the hybrid energy storage system for smoothing the wind and solar output power fluctuations based on the grid frequency change amount at the current moment, and the said grid frequency change a primary frequency modulation output module for calculating a frequency modulated output power of the hybrid energy storage system based on the amount; and for fusing the smoothed output power and the frequency modulated output power to obtain an energy storage total output power. an energy storage system total output module, and decomposes the energy storage total output power according to the characteristics of different energy storage units of the hybrid energy storage system, and allocates the output power after decomposition to the corresponding energy storage units, thereby generating different energy storages. The device includes a power allocation module for performing output at a current time according to the allocated output power.

According to a third aspect, embodiments of the invention provide an electronic device, comprising a memory and a processor, the memory and the processor communicatively connected to each other, and the memory storing computer instructions; The processor performs a method as described in the first aspect or any alternative embodiment of the first aspect by executing the computer instructions.

According to a fourth aspect, embodiments of the invention provide a computer-readable storage medium, wherein the computer-readable storage medium includes a description of the first aspect, or an optional embodiment of any of the first aspects. Computer instructions are stored for performing the method.

The technical solution according to the present application has the following advantages.

The technical proposal related to this application first obtains the total wind power and solar power output of wind power generation and solar power generation at the current point in time, and then calculates the wind power and solar power output fluctuations based on the wind power and solar power output power. A smoothed output power of the hybrid energy storage system for smoothing is calculated, and then a frequency modulated output power of the hybrid energy storage system is calculated based on the amount of grid frequency change at the current time. After obtaining the two outputs of the above hybrid energy storage system, in order to simultaneously solve the problems of smoothing and primary frequency modulation of wind/solar power output, embodiments of the present invention provide smoothed output power and frequency modulated output. and power to obtain the energy storage total output power of the energy storage system. Furthermore, the energy storage total output power is decomposed into multiple parts according to the characteristics of different energy storage units (e.g. storage batteries and supercapacitors) of the hybrid energy storage system, and finally the multiple output power after decomposition is divided into the corresponding energy storage units. By allocating, different energy storage elements will output power at the current time according to the allocated output power, thereby achieving the purpose of balancing wind/solar output power smoothing and primary frequency modulation.

In addition, the intermediate term "grid-connected power" is mentioned when calculating the smoothed output power, and the embodiments of the present invention further include the grid-connected power fluctuation range, the output size of the hybrid energy storage system, and the power system. Optimize grid-connected power using an objective function created based on the frequency offset amount of the hybrid energy storage system that responded, the frequency change rate of the hybrid energy storage system that responded to the power system, and the range of wind/solar output power fluctuation at the next point in time. , thereby improving the accuracy rate of the smoothed output power and further improving the accuracy rate with which the hybrid energy storage system controls the output power allocated to each energy storage unit.

The features and advantages of the invention can be more clearly understood by referring to the drawings, which are to be understood to be illustrative and not limiting.

1 is a schematic diagram of steps of a method for controlling a hybrid energy storage system in an embodiment of the present invention; FIG. 1 is a schematic flowchart of a method for controlling a hybrid energy storage system in an embodiment of the present invention. It is a typical flow chart of optimization of grid-connected power in one embodiment of the present invention. FIG. 1 is a schematic structural diagram of a control device for a hybrid energy storage system according to an embodiment of the present invention. 1 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.

In order to make the objectives, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions of the embodiments of the present invention will be clearly and completely described with reference to the drawings of the embodiments of the present invention, and will be clear. As such, the described embodiments are some but not all embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without any creative efforts fall within the protection scope of the present invention.

As shown in FIGS. 1 and 2, in one embodiment, the method for controlling a hybrid energy storage system specifically includes the following steps S101 to S104.

Step S101: Obtain the current wind/solar output power and calculate the smoothed output power of the hybrid energy storage system for smoothing the wind/solar output power fluctuation based on the wind/solar output power. .

Step S102: Obtain the amount of grid frequency change at the current point in time, and calculate the frequency modulated output power of the hybrid energy storage system based on the amount of grid frequency change.

Step S103: Fuse the smoothed output power and the frequency modulated output power to obtain the energy storage total output power.

Step S104: By decomposing the energy storage total output power according to the characteristics of different energy storage units of the hybrid energy storage system and allocating the output power after decomposition to the corresponding energy storage unit, the different energy storage elements are divided into the allocated output power. Output is performed at the current time according to the following.

Specifically, in this example, first, the sum of the output power of wind power generation and solar power generation, which is the actual output power of wind power generation and solar power generation in total, is obtained, and the formula is as follows.

ΔP _T (t)=P _T (t)-P _T (t-1)
P _T (t)=P _W (t)+P _P (t)

In the formula, ΔP _T (t) is the amount of change in wind/solar power output power, and wind power/solar power output power P _T (t) is the wind power output power P _W (t) and solar power output power P _P ( t), and P _T (t) and P _T (t-1) are the wind/solar power output power at time t and time t-1, respectively.

Since the actual power required by the grid (grid-connected power) is not completely equal to the output power of wind and solar power, the hybrid energy storage system can compensate for the insufficient power by smoothing the fluctuations of the power output of wind and solar power. replenish or absorb excess power, that is, calculate the smoothed output power P _HS1 (t) of the hybrid energy storage system based on the wind/solar power output. Then, further based on the amount of frequency change of the grid, the frequency modulated output power of the energy storage system for stabilizing the grid frequency is calculated, and the calculation formula is as follows.

In the formula, P _HS2 (t) is the frequency modulated output power that is required to carry the primary frequency modulation function in the wind/solar system, R _S is the differential coefficient, and Δf is the frequency at the current time and the previous time. is the amount of change,
is the derivative of the frequency at the current point in time with respect to time t.

In this example, in order to realize that the hybrid energy storage system solves the problems of smoothing wind/solar power output and primary frequency modulation at the same time, first, the above-mentioned smoothed output power and frequency modulated output power are summed. The energy storage total output power is fused into a total output power, and then the energy storage total output power is decomposed into multiple parts according to the characteristics of the elements of the hybrid energy storage system and allocated to each energy storage unit of the hybrid energy storage system, whereby the hybrid energy storage Achieve control over the system. Hybrid energy storage systems come in many forms, and a typical hybrid energy storage system includes multiple combinations of elements such as lithium batteries, flow redox batteries, flywheel energy storage, and supercapacitors. Each has its own characteristics, costs, and problems it solves.

In the embodiment of the present invention, the hybrid energy storage system chooses the combination of lithium ion battery and supercapacitor, the advantages of lithium battery are high energy density, good cycle characteristics and short charging time, but lithium The high performance of batteries comes at the cost of safety; the higher the performance, the lower the chemical stability and the lower the safety. Supercapacitors are conceptually similar to battery/battery hybrid energy storage systems, providing fast-response power bursts and can be used to replenish batteries with lower discharge intensity and longer duration; supercapacitors are more It has a long operating life and a shorter charging time. Based on this, this embodiment uses a low-pass filtering method to decompose the energy storage total output power into high-frequency components and low-frequency components, and then allocates the low-frequency components to the lithium-ion battery and the high-frequency components to the supercapacitor. Thereby, it realizes a comprehensive and rational allocation of smoothed output power and frequency modulation processing power, and controls the hybrid energy storage system to comprehensively solve the problems of smoothing and primary frequency modulation of wind and solar output power. Resolved. The specific allocation formula is as follows.

where the energy storage total output power P _HS (t)=P _HS1 (t)+P _HS2 (t). The low frequency component is the output target value P _B (t) of the lithium ion battery, the high frequency component is the output target value P _SC (t) of the supercapacitor, and τ ₂ is the filtering time constant.

Specifically, in one embodiment, the above step S101 specifically includes the following steps 1 to 3.

Step 1: Low-pass filter the wind and solar output power to obtain grid-connected power that represents the actual needs of the grid-connection point.

Step 2: Optimize grid-connected power.

Step 3: Calculate the difference between the wind/solar power output power and the grid-connected power after optimization, and use the obtained difference as the smoothed output power.

Specifically, the prior art usually also uses a low-pass filtering method when calculating the smoothed output power of a hybrid energy storage system, decomposing the wind/solar output power into low frequency components and high frequency components, The low frequency component is the grid-connected power as the actual needs of the grid, and the high frequency component is the smoothed output power. The filtering function of the low-pass filtering algorithm is as shown below, where P _HS1 (n) is the sampling output value of the current smoothed output power, and P _HS1 (n-1) is the previous smoothed output power. It is a sampling output value of electric power, P _T (n) is a current sampling value of wind/solar power output power, and a is a filtering coefficient.

However, there is still room for the accuracy of the grid-connected power calculated using only the low-pass filtering algorithm to be improved in practical use, and therefore, in this example, the grid-connected power is The accuracy of the smoothed output power can be further improved if the smoothed output power is calculated by the grid-connected power.

In the embodiment of the present invention, the steps for creating the objective function are specifically as follows.

1. The grid-connected power fluctuation range at the current point in time, the output size of the hybrid energy storage system, the amount of frequency offset of the hybrid energy storage system in response to the power system, the frequency change rate of the hybrid energy storage system in response to the power system, and the next point in time, respectively. Create a sub-objective function for the range of wind and solar output power fluctuations in .

2. Combine each sub-objective function into an objective function.

Specifically, an objective function is comprehensively created using the five expressions (sub-objective functions) mentioned above, and thereby the fluctuation in grid-connected power is as small as possible, the output of the hybrid energy storage system is as small as possible, and the power system is The amount of frequency offset of the hybrid energy storage system that responded, the frequency change rate of the hybrid energy storage system that responded to the power system, and the range of wind/solar output power fluctuation at the next time are all as small as possible, and each of the above sub-systems is When the objective function reaches a certain stable state, the optimal grid-connected power can be calculated. The expression of the created objective function is as follows.

An objective function I ₁ is established whose purpose is that the grid-connected power fluctuation is within an acceptable range.

I ₁ =k ₁ [P _G (t)-P _G (t-1)]

Establish an objective function _I2 that aims to minimize the hybrid energy storage output.

I ₂ = k ₂ [P _T (t)-P _G (t)]

An objective function _I3 is established that aims at the amount of frequency offset of the hybrid energy storage system in response to the power system.

An objective function _I4 is established that aims at the rate of frequency change of the hybrid energy storage system in response to the power system.

Establish an objective function _I5 of the wind/solar output power fluctuation range at the following time points.

I ₅ =k ₁ [P _G (t+1)-P _G (t)] ² +k ₂ [P _T (t+1)-P _G (t+1)] ²

The objective function I is the sum of the above sub-objective functions.

I=I ₁ +I ₂ +I ₃ +I ₄ +I ₅ +I ₆

In the formula, k ₁ , k ₂ , k ₃ , and k ₄ are calculation parameters for each variable, P _T (t+i) is the predicted wind/solar power output, and P _G (t) is the current is the grid-connected power, P _G (t+1) is the predicted grid-connected power, and R _S is the differential coefficient.

Thereafter, the grid-connected power can be optimized by using an optimization algorithm such as a gradient descent method or a least squares method based on the objective function, and the optimal grid-connected power can be calculated.

Specifically, as shown in FIG. 3, in one embodiment, the steps for optimizing grid-connected power using an objective function are specifically as follows.

Step 4: Initialize a plurality of candidate grid-connected powers based on the grid-connected power.

Step 5: Optimize multiple candidate grid-connected power sources using the carnivorous plant algorithm using the objective function as the fitness function of the carnivorous plant algorithm, and select the optimal grid-connected power from the multiple candidate grid-connected power sources. find.

Specifically, in this example, the carnivorous plant algorithm newly proposed in 2020 is used in combination with the above objective function I to find the optimal grid-connected power, and this method uses the conventional gradient descent method. It requires fewer evaluations than other optimization algorithms, improves global optimization ability, and solves the problems that traditional algorithms tend to produce local optima, slow convergence speed, and low search accuracy, thereby improving system connection. Further improve the accuracy of system power. Specifically, the steps are as follows.

1. Define the number of repetitions within the group group _iter , the maximum number of repetitions max_iter, the attraction rate attraction_rate, the growth rate growth_rate, the reproduction rate reproduction_rate, the number of carnivorous plants nC Plant, and the number of prey n Prey.

2. Grid-connected power is calculated based on low-pass filtering, and a randomly generated population of n individuals and dimension d is initialized. The position of each individual (randomly initialized grid-connected power) is represented by the following matrix.

where n is the sum of the number of carnivorous plants nC Plant and the number of prey n Prey, d is the dimension, i.e. the number of variables in each individual, and each individual is randomly selected using the following formula: Initialization is performed (in this embodiment, the optimal individual, that is, the optimal grid-connected power is found by repeatedly iterating from all the initialized individuals).

individual _{i, j} = Lb _j + (Ub _j - Lb _j )×rand

where Lb _j and Ub _j are the lower and upper bounds of the search domain, respectively, i.e. the minimum and maximum values of the independent variables, i∈[1,2,...,n], j∈[1,2 ,...,d], and rand is a random number in [1,0].

3. The fitness value of each individual is calculated and evaluated using the objective function I. For the i-th individual, the fitness value is evaluated by inputting each row (that is, all dimensions) to the fitness function, and the calculated fitness value is stored in the matrix below.

4. Classifying carnivorous plants and prey

Sort each individual in the population in ascending order of fitness value, find the optimal individual g* as the first carnivorous plant, classify the top nC Plant individuals as carnivorous plants, and classify the remaining n Prey plants. individuals are classified as prey. The sorted matrix is shown in Sorted _Fit and Sorted _Pop .

5. Group insectivorous plants and prey. In the grouping process, the prey with the highest fitness value is assigned to the first-ranked carnivorous plant, and the second- and third-ranked prey are assigned to the second- and third-ranked carnivorous plants, respectively. (However, the number of carnivorous plants is smaller than the number of prey). The process is repeated until the prey of position nC Plant is assigned to the carnivorous plant of position n Assign, assign the nC Plant + 2nd place prey to the 2nd place carnivorous plant, and repeat until all prey assignments are completed. Finally, there is only one carnivorous plant in each group, and the number of prey is two or more.

6. Simulates the growth process of insectivorous food and prey. CP _i,y is the i-th carnivorous plant, one prey Prey _v,j is randomly selected from each group, and rand _i,y is a randomly generated number between 0 and 1. The attraction factor (the attraction factor is a predetermined value, usually set to 0.8) and the random number corresponding to each group is compared until the number of repetitions within the group is reached. When the attraction rate is larger than the random number rand _i,y , a new carnivorous plant is formed according to equation (1), and when the attraction rate is smaller than the random number rand _i,y , a new prey is formed according to equation (2). And Prey _u,j is another prey randomly selected from the i-th population.

NewCP _i,j = growth×CP _i,j + (1-growth)×Prey _v,j (1)

growth=growth_rate×rand _{i, y}

New Prey _{i, j} = growth x Prey _{u, j} + (1-growth) x Prey _{v, j} , u |≠v (2)

In the formula, growth_rate is a predetermined value, and f() is the objective function I.

7. Optimal to simulate the breeding process of carnivorous plants. Only the first carnivorous plants, ie the best in the population, can reproduce. In the breeding process, one carnivorous plant v is randomly selected for each dimension j, and the breeding model using the optimal carnivorous plant is equation (3), and the optimal carnivorous plant v is selected for each population. A new carnivorous plant is generated based on , CP _i,j is the optimal solution, and CP _v,j is a randomly selected carnivorous plant.

NewCP _i,j =CP _i,j +Reproduction_rate×rand _i,j ×mate _i,j (3)

8. Fitness evaluation is performed using objective function I for each newly generated carnivorous plant and prey.

9. The newly generated carnivorous plants and prey are merged with the initial population to obtain a new population of dimension [n+nC Plant x (group_iter+nC Plant)] x d, i.e., the new population has: There are n original individuals, (nC Plant x group_iter) newly produced individuals and (nC Plant) ² new breeding individuals.

10. Sort each individual in the new population in ascending order of fitness value, select the top n individuals to enter the next generation, i.e. select the top n individuals as new candidate solutions, and ensure that the population size does not change due to

11. Returning to step 4, iterative calculation is performed until the maximum number of iterations max_iter is reached. After reaching the maximum number of iterations, output the current optimal solution g ^* , that is, output the optimal grid-connected power at time t, and combine it with wind and solar output power to determine the optimal operation scheme of hybrid energy storage. get.

Through the above steps, the technical proposal according to the present application first obtains the total wind power and solar power output of wind power generation and solar power generation at the current point in time, and then calculates the wind power and solar power generation based on the wind power and solar power output power. A smoothed output power of the hybrid energy storage system for smoothing output power fluctuations is calculated, and then a frequency modulated output power of the hybrid energy storage system is calculated based on the amount of grid frequency change at the current point in time. After obtaining the two outputs of the above hybrid energy storage system, in order to simultaneously solve the problems of smoothing and primary frequency modulation of wind/solar power output, embodiments of the present invention provide smoothed output power and frequency modulated output. and power to obtain the energy storage total output power of the energy storage system. Furthermore, the energy storage total output power is decomposed into multiple parts according to the characteristics of different energy storage units (e.g. storage batteries and supercapacitors) of the hybrid energy storage system, and finally the multiple output power after decomposition is divided into the corresponding energy storage units. By allocating, different energy storage elements output power at the current time according to the allocated output power, thereby achieving both smoothing and primary frequency modulation of the wind/solar output power. The technical proposal according to the present application is based on a hybrid energy storage facility, and cooperatively controls the smoothing of wind and solar power fluctuations and the auxiliary system frequency modulation, thereby reducing the impact of wind and solar power fluctuations on the power system. It not only reduces the power consumption, but also has a certain degree of primary frequency modulation ability, which provides new ideas for maintaining the stability of the power system and ensuring the power supply and demand balance in the power system.

In addition, the intermediate term "grid-connected power" is mentioned when calculating the smoothed output power, and the embodiments of the present invention further include the grid-connected power fluctuation range, the output size of the hybrid energy storage system, and the power system. Optimize grid-connected power using an objective function created based on the frequency offset amount of the hybrid energy storage system that responded, the frequency change rate of the hybrid energy storage system that responded to the power system, and the range of wind/solar output power fluctuation at the next point in time. , thereby improving the accuracy rate of the smoothed output power and further improving the accuracy rate with which the hybrid energy storage system controls the output power allocated to each energy storage unit.

As shown in FIG. 4, this embodiment further provides a control device for the hybrid energy storage system, which includes a smoothing output module 101, a primary frequency modulation output module 102, an energy storage system total output module 103, and an output An allocation module 104 is provided.

The smoothing output module 101 acquires the wind/solar output power at the current point in time, and calculates the smoothed output of the hybrid energy storage system for smoothing the wind/solar output power fluctuation based on the wind/solar output power. Used to calculate power. For details, refer to the related explanation of step S101 in the above method embodiment, and redundant explanation will be omitted here.

The primary frequency modulation output module 102 is used to obtain the current grid frequency variation and calculate the frequency modulation output power of the hybrid energy storage system based on the grid frequency variation. For details, refer to the related explanation of step S102 in the above method embodiment, and redundant explanation will be omitted here.

The energy storage system total output power module 103 is used to fuse the smoothed output power and the frequency modulated output power to obtain the energy storage total output power. For details, refer to the related explanation of step S103 in the above method embodiment, and redundant explanation will be omitted here.

The power allocation module 104 decomposes the energy storage total output power according to the characteristics of the different energy storage units of the hybrid energy storage system, and allocates the decomposed output power to the corresponding energy storage units, so that the different energy storage elements are allocated. It is used to perform output at the current point in time according to the output power set. For details, refer to the related explanation of step S104 in the above method embodiment, and redundant explanation will be omitted here.

The control device for the hybrid energy storage system according to the embodiment of the present invention is used to execute the control method for the hybrid energy storage system according to the embodiment described above, and its implementation form and principle are the same, and details are given in the method described above. It is sufficient to refer to the related explanations of the embodiments, and redundant explanations will be omitted.

Through the cooperation of each of the above components, the technical proposal according to the present application first obtains the total wind and solar output power of wind power generation and solar power generation at the current point in time, and then, based on the wind power and solar power output power, Calculate the smoothed output power of the hybrid energy storage system to smooth wind and solar output power fluctuations using do. After obtaining the two outputs of the above hybrid energy storage system, in order to simultaneously solve the problems of smoothing and primary frequency modulation of wind/solar power output, embodiments of the present invention provide smoothed output power and frequency modulated output. and power to obtain the energy storage total output power of the energy storage system. Furthermore, the energy storage total output power is decomposed into multiple parts according to the characteristics of different energy storage units (e.g. storage batteries and supercapacitors) of the hybrid energy storage system, and finally the multiple output power after decomposition is divided into the corresponding energy storage units. By allocating, different energy storage elements will output power at the current time according to the allocated output power, thereby achieving the purpose of balancing wind/solar output power smoothing and primary frequency modulation.

In addition, the intermediate term "grid-connected power" is mentioned when calculating the smoothed output power, and the embodiments of the present invention further include the grid-connected power fluctuation range, the output size of the hybrid energy storage system, and the power system. Optimize grid-connected power using an objective function created based on the frequency offset amount of the hybrid energy storage system that responded, the frequency change rate of the hybrid energy storage system that responded to the power system, and the range of wind/solar output power fluctuation at the next point in time. , thereby improving the accuracy rate of the smoothed output power and further improving the accuracy rate with which the hybrid energy storage system controls the output power allocated to each energy storage unit.

FIG. 5 shows an electronic device according to an embodiment of the present invention, which device includes a processor 901 and a memory 902, and may be connected by a bus or other forms, and in FIG. 5, connection by a bus is taken as an example.

Processor 901 may be a central processing unit (CPU). The processor 901 can also be used as a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), or a field-programmable door array (Field-Programmable). Gate Array, FPGA) or other There may also be chips such as programmable logic devices, discrete gate or transistor logic devices, discrete hardware units, or combinations of the various chips mentioned above.

Memory 902 may be used as a non-transitory computer-readable storage medium to store non-transitory software programs, non-transitory computer-executable programs and modules, such as program instructions/modules corresponding to the methods of the method embodiments above. . Processor 901 executes non-transitory software programs, instructions and modules stored in memory 902 to perform various functional applications and data processing of the processor, ie, to implement the methods in the method embodiments described above.

Memory 902 may include a program storage area and a data storage area, where the program storage area can store an operating system, application programs necessary for at least one function, and the data storage area can store data created by processor 901, etc. . Memory 902 may also include high speed random access memory and may further include non-transitory memory, such as, for example, at least one disk storage device, flash device, or other non-transitory solid state memory device. In some embodiments, memory 902 includes memory that is selectably located remotely to processor 901, and these remote memories may be connected to processor 901 via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

One or more modules are stored in memory 902 and, when executed by processor 901, perform the methods in the method embodiments described above.

The details of the above electronic device can be understood with reference to the corresponding related explanations and effects of the above method embodiments, and detailed explanations are omitted here.

As will be understood by those skilled in the art, implementing all or some of the processes of the above example methods may be performed by a computer program instructing relevant hardware, and the implemented program may be a computer readable computer program. The program may be stored on a storage medium and, when executed, may include the processes of each of the method embodiments described above. The storage medium may be a magnetic disk, an optical disk, a read-only memory (ROM), a random access memory (RAM), a flash memory, a hard disk drive (HDD), or It may be a solid-state drive (SSD) or the like, and the storage medium may include a combination of the above types of memory.

Although the embodiments of the present invention have been described with reference to the drawings, those skilled in the art can make various changes and modifications without departing from the spirit and scope of the present invention, and all such changes and modifications can be made in the accompanying drawings. falls within the scope defined in the claims.

Claims (7)

A method for controlling a hybrid energy storage system, the method comprising:
obtaining current wind/solar output power and calculating smoothed output power of the hybrid energy storage system for smoothing wind/solar output power fluctuations based on the wind/solar output power; ,
obtaining a grid frequency change amount at the current point in time, and calculating frequency modulated output power of the hybrid energy storage system based on the grid frequency change amount;
fusing the smoothed output power and the frequency modulated output power to obtain a total energy storage output power;
By decomposing the energy storage total output power according to the characteristics of different energy storage units of the hybrid energy storage system and allocating the output power after decomposition to the corresponding energy storage units, the different energy storage elements are divided according to the allocated output power. A step of outputting at the current point in time,
The step of calculating a smoothed output power of a hybrid energy storage system for smoothing wind and solar output power fluctuations based on the wind and solar output power includes low-pass filtering the wind and solar output power. a step of obtaining grid-coupled power representing the actual needs of the grid-coupling point; a step of optimizing the grid-coupled power; and a step of calculating the difference between the wind/solar output power and the optimized grid-coupled power. , the step of using the obtained difference as the smoothed output power,
The step of optimizing the grid-linked power includes the steps of creating an objective function based on a current grid-linked power fluctuation range, and optimizing the grid-linked power based on the objective function. ,
The step of creating an objective function based on the grid-coupled power fluctuation range at the current time includes the grid-coupled power fluctuation range at the current time, the output size of the hybrid energy storage system, and the frequency offset of the hybrid energy storage system in response to the power system, respectively. combining each sub-objective function with the objective function; and combining each sub-objective function with the objective function. A method of controlling a BRID energy storage system, comprising: steps. The step of optimizing the grid-linked power based on the objective function,
Initializing a plurality of candidate grid-linked powers based on the grid-linked power;
optimizing the plurality of candidate grid-coupled power sources using the carnivorous plant algorithm using the objective function as a fitness function of the carnivorous plant algorithm, and finding an optimal grid-cooperation power source from the plurality of candidate grid-cooperation electric powers; 2. The method of claim 1, comprising: 2. The method of claim 1, wherein the energy storage unit of the hybrid energy storage system includes a lithium ion battery and a supercapacitor. The step of decomposing the energy storage total output power according to the characteristics of different energy storage units of the hybrid energy storage system and allocating the decomposed output power to the corresponding energy storage units;
decomposing the energy storage total output power into low frequency components and high frequency components;
4. The method of claim 3, comprising assigning the low frequency component to the lithium ion battery and assigning the high frequency component to the supercapacitor. A control device for a hybrid energy storage system, comprising:
To calculate the smoothed output power of the hybrid energy storage system for obtaining the wind/solar output power at the current point in time and smoothing the wind/solar output power fluctuation based on the wind/solar output power. a smoothing output module;
a primary frequency modulation output module for obtaining a current grid frequency change amount and calculating a frequency modulation output power of the hybrid energy storage system based on the grid frequency change amount;
an energy storage system total output module for fusing the smoothed output power and the frequency modulated output power to obtain an energy storage total output power;
By decomposing the energy storage total output power according to the characteristics of different energy storage units of the hybrid energy storage system and allocating the output power after decomposition to the corresponding energy storage units, the different energy storage elements are divided according to the allocated output power. an output allocation module for outputting at the current point in time;
The step of calculating a smoothed output power of a hybrid energy storage system for smoothing wind and solar output power fluctuations based on the wind and solar output power includes low-pass filtering the wind and solar output power. a step of obtaining grid-coupled power representing the actual needs of the grid-coupling point; a step of optimizing the grid-coupled power; and a step of calculating the difference between the wind/solar output power and the optimized grid-coupled power. , the step of using the obtained difference as the smoothed output power,
The step of optimizing the grid-linked power includes the steps of creating an objective function based on a current grid-linked power fluctuation range, and optimizing the grid-linked power based on the objective function. ,
The step of creating an objective function based on the grid-coupled power fluctuation range at the current time includes the grid-coupled power fluctuation range at the current time, the output size of the hybrid energy storage system, and the frequency offset of the hybrid energy storage system in response to the power system, respectively. combining each sub-objective function with the objective function; and combining each sub-objective function with the objective function. A control device for a hybrid energy storage system, comprising: a step. An electronic device comprising a memory and a processor, the memory and the processor communicatively connected to each other, the memory storing computer instructions, and the processor executing the computer instructions to claim. An electronic device characterized by carrying out the method according to any one of 1 to 4. A computer-readable storage medium, characterized in that computer instructions for causing the computer to carry out the method according to any one of claims 1 to 4 are stored thereon.