A coordinated control method, device and electronic equipment for a photovoltaic energy storage system

Abstract

The present invention discloses a coordinated control method, device and electronic equipment for a photovoltaic energy storage system. The controller module of the converter calculates the power prediction value of the converter and the stability parameter value of the converter, and sends the stability parameter to the upper-layer coordinated controller, so that the upper-layer coordinated controller determines the stability of the photovoltaic energy storage system based on the stability parameter value of the converter. When the stability of the photovoltaic energy storage system decreases, the upper-layer coordinated controller updates the damping injection coefficient and the conductance injection coefficient, and the controller module of the converter will coordinately control the working state of the converter according to the updated damping injection coefficient and conductance injection coefficient. The converter device layer in the photovoltaic energy storage system monitors its own working state, the upper-layer coordinated controller timely judges the stability of the photovoltaic energy storage system according to the monitoring results of the device layer, and the upper-layer coordinated controller issues instructions based on the stability judgment results, improving the stability of the photovoltaic energy storage system.

Description

Technical Field

[0001] The present invention relates to the technical field of distributed system stability control, and particularly relates to a coordinated control method, device and electronic equipment for a photovoltaic energy storage system. Background Art

[0002] With the development of photovoltaic power generation and energy storage technologies, there are more and more power electronic converters in the source-network-load-storage system, and their performance directly determines whether the source-network-load-storage system can operate safely and reliably. At present, in order to achieve coordinated control of the operating state of the source-network-load-storage photovoltaic energy storage system, the common method is to collect data of each converter by adding a communication module, and then coordinate and control the operating states of each subsystem through an energy management system, so that the working states of the subsystems tend to be stable; or by obtaining relevant meteorological parameters, predicting the photovoltaic power generation situation at different time scales, realizing the energy scheduling of the energy storage system and the photovoltaic power generation system in the source-network-load-storage, and then realizing the coordinated control operation of the operating state of the photovoltaic energy storage system.

[0003] The existing methods all achieve power coordinated control of the source-network-load-storage photovoltaic energy storage system from the scheduling level. The large amount of calculation of the upper-layer energy management system leads to a large control time scale. When the source-network-load-storage photovoltaic energy storage system is subjected to various large disturbances (such as large changes in load power, switching of power electronic converters in the photovoltaic energy storage system), the steady-state operating point of the system will suddenly change greatly. The power electronic converters in the photovoltaic energy storage system cannot immediately respond to the changes in power output through the scheduling level, resulting in a decrease or even instability in the stability of the source-network-load-storage photovoltaic energy storage system, and it is difficult to achieve fast tracking and control of the working state of the photovoltaic energy storage system. Summary of the Invention

[0004] Therefore, the technical problem to be solved by the present invention is to overcome the defect that it is difficult to achieve fast tracking and control of the working state of the photovoltaic energy storage system when the source-network-load-storage photovoltaic energy storage system is subjected to various large disturbances in the prior art, and thus provide a coordinated control method, device and electronic equipment for a photovoltaic energy storage system.

[0005] In a first aspect, an embodiment of the present invention discloses a coordinated control method for a photovoltaic-storage system. The photovoltaic-storage system includes at least one converter, and the method is applied to a controller module of the converter. The method includes: obtaining a power prediction model of the converter and operating parameters of the converter, where the power prediction model is used to characterize the relationship between power disturbances in the converter and the operating parameters of the converter; calculating a power prediction value of the converter according to the power prediction model of the converter, the operating parameters of the converter, and a control law, where the control law is calculated according to the operating parameters of the converter, a current damping injection coefficient, and a current conductance injection coefficient; inputting the operating parameters, the power prediction value, the current damping injection coefficient, and the current conductance injection coefficient into a pre-established stability parameter calculation model to obtain a stability parameter value of the converter, where the stability parameter value is used to characterize the stable information of the working state of the converter; sending the stability parameter value of the converter to an upper-layer coordinated controller, so that the upper-layer coordinated controller determines the stability of the photovoltaic-storage system according to the stability parameter value of the converter. If the upper-layer coordinated controller determines that the stability of the photovoltaic-storage system decreases, the upper-layer coordinated controller updates the damping injection coefficient and the conductance injection coefficient; and coordinately controlling the working state of the converter according to the updated damping injection coefficient and conductance injection coefficient.

[0006] For the coordinated control method of the photovoltaic-storage system provided by the present invention, the controller module of the converter calculates the power prediction value of the converter, and based on the power prediction value, the current damping injection coefficient, the current conductance injection coefficient, and the pre-established stability parameter calculation model, calculates the stability parameter value of the converter, and sends the stability parameter to the upper-layer coordinated controller, so that the upper-layer coordinated controller determines the stability of the photovoltaic-storage system based on the stability parameter value of the converter. When the stability of the photovoltaic-storage system decreases, the upper-layer coordinated controller updates the damping injection coefficient and the conductance injection coefficient, and the controller module of the converter will coordinately control the working state of the converter according to the updated damping injection coefficient and conductance injection coefficient. The monitoring of the working state of the converter device layer in the photovoltaic-storage system, and the upper-layer coordinated controller timely judges the stability of the photovoltaic-storage system according to the monitoring results of the device layer. Compared with the prior art, the calculation amount of the upper-layer coordinated controller is effectively reduced; the upper-layer coordinated controller issues instructions based on the stability judgment result, realizing the coordinated control of the working states of the converters in the photovoltaic-storage system on a small time scale, and realizing the fast tracking and control of the system steady-state operating point under large disturbances, improving the stability of the photovoltaic-storage system.

[0007] Combined with the first aspect, in a possible implementation manner of the first aspect, the method further includes: sending the power prediction value to the upper-layer coordinated controller, so that the upper-layer coordinated controller determines a power distribution coefficient according to the power prediction value; receiving the power distribution coefficient, and coordinately controlling the working state of the converter according to the power distribution coefficient.

[0008] The method provided by this embodiment improves the stability of the optical storage system by sending the power prediction value to the upper-layer coordination controller, which will issue a power distribution coefficient according to the received power prediction value, and the converter will coordinately control its output power according to the power distribution coefficient.

[0009] Combined with the first aspect, in a possible implementation manner of the first aspect, the power prediction model is constructed through the following steps: obtaining the affine nonlinear system model under the perturbed state and the operating parameters of the converter; determining the perturbed observer model of the affine nonlinear system based on the affine nonlinear system model under the perturbed state; taking the unknown power of the converter as a perturbation, and determining the power prediction model of the converter based on the perturbed observer model, the unknown power of the converter, and the operating parameters of the converter.

[0010] The method provided by this embodiment facilitates the subsequent prediction of the real-time output power of the converter by determining the power prediction model of the converter.

[0011] Combined with the first aspect, in a possible implementation manner of the first aspect, the control law is calculated based on the nonlinear passive control model, and the nonlinear passive control model is constructed through the following steps: determining the converter dynamic equation according to the operating parameters of the converter and the control law, where the dynamic equation is used to characterize the relationship between the converter output voltage and the inductor current; determining the dynamic error of the converter output voltage and the dynamic error of the inductor current based on the operating parameters of the converter and the converter dynamic equation; determining the converter mathematical model based on the dynamic error according to the dynamic error of the converter output voltage and the dynamic error of the inductor current; determining the nonlinear passive control model based on the converter mathematical model based on the dynamic error.

[0012] The method provided by this embodiment calculates the control law of the converter based on the nonlinear passive control model, which facilitates the coordinated control of the working state of the converter.

[0013] Combined with the first aspect, in a possible implementation manner of the first aspect, the stability parameter calculation model is calculated through the following steps: calculating the derivative model of the dynamic energy storage function of the converter based on the nonlinear passive control model; obtaining the stability parameter calculation model according to the derivative model of the dynamic energy storage function.

[0014] The method provided by this embodiment determines the stability parameter calculation model based on the derivative model of the dynamic energy storage function of the converter, which facilitates the rapid monitoring and coordinated control of the working state of the converter.

[0015] In combination with the first aspect, in a possible implementation manner of the first aspect, calculating a power prediction value of the converter according to a power prediction model of the converter, operating parameters of the converter, and a control law includes: inputting the operating parameters of the converter into the power prediction model to obtain a target power value; determining a power compensation value according to the operating parameters of the converter and a preset power compensation model; and determining the power prediction value of the converter according to the target power value and the power compensation value.

[0016] The method provided in this implementation manner compensates the power prediction result of the power prediction model through a preset power compensation model, realizes the compensation of the output power of the converter, is beneficial to the stability of the converter operation, and is also beneficial to the non-error regulation of the DC bus voltage.

[0017] In a second aspect, an embodiment of the present invention discloses a coordinated control method for a photovoltaic energy storage system, which is applied to an upper-layer coordinated controller of the photovoltaic energy storage system. The upper-layer coordinated controller is connected to the controller module of each converter in the photovoltaic energy storage system. The method includes: obtaining the stability parameter value of each converter in the target photovoltaic energy storage system; judging the stability of the target photovoltaic energy storage system according to the stability parameter value of each converter; updating the damping injection coefficient and the conductance injection coefficient of the corresponding converter according to the stability judgment result of the target photovoltaic energy storage system, and feeding back the updated damping injection coefficient and the conductance injection coefficient to the controller module of the corresponding converter, so that the controller module of the converter coordinates and controls the working state of the converter according to the updated damping injection coefficient and the conductance injection coefficient.

[0018] The coordinated control method for the photovoltaic energy storage system provided by the present invention, the upper-layer coordinated controller judges the stability of the photovoltaic energy storage system according to the stability parameter value of each converter in the photovoltaic energy storage system, and updates the damping injection coefficient and the conductance injection coefficient of the corresponding converter based on the stability judgment result, so that the corresponding converter adjusts its own working state based on the updated damping injection coefficient and the conductance injection coefficient, realizes the coordinated control of the working states of each converter in the photovoltaic energy storage system on a small time scale, and realizes the fast tracking and control of the system steady-state operating point under large disturbances, and improves the stability of the photovoltaic energy storage system.

[0019] In combination with the second aspect, in a possible implementation manner of the second aspect, after judging the stability of the target photovoltaic energy storage system according to the derivative model of the dynamic energy storage function of each converter, the method further includes: obtaining the power prediction value of each converter; determining the power distribution coefficient of the corresponding converter based on the power prediction value of each converter and the power adjustment requirement of the target photovoltaic energy storage system; and sending the power distribution coefficient of each converter to the controller module of the corresponding converter.

[0020] In the method provided in this embodiment, the upper-layer coordination controller issues a power distribution coefficient according to the received power prediction value, so that the corresponding converter coordinates and controls its own output power according to the power distribution coefficient, further improving the stability of the optical storage system.

[0021] In a third aspect, an embodiment of the present invention further discloses a coordinated control device for an optical storage system. The optical storage system includes at least one converter, and a controller module applied to the converter. The device includes: a first acquisition module, configured to acquire a power prediction model of the converter and the operating parameters of the converter, where the power prediction model is used to characterize the relationship between the power disturbance in the converter and the operating parameters of the converter; a calculation module, configured to calculate a power prediction value of the converter according to the power prediction model of the converter, the operating parameters of the converter, and a control law, where the control law is calculated according to the operating parameters of the converter, the current damping injection coefficient, and the current conductance injection coefficient; a determination module, configured to input the operating parameters, the power prediction value, the current damping injection coefficient, and the current conductance injection coefficient into a pre-established stability parameter calculation model to obtain a stability parameter value of the converter, where the stability parameter value is used to characterize the stability information of the working state of the converter; a first sending module, configured to send the stability parameter value of the converter to the upper-layer coordination controller, so that the upper-layer coordination controller determines the stability of the optical storage system according to the stability parameter value of the converter. If the upper-layer coordination controller determines that the stability of the optical storage system decreases, the upper-layer coordination controller updates the damping injection coefficient and the conductance injection coefficient; a coordinated control module, configured to coordinate and control the working state of the converter according to the updated damping injection coefficient and the conductance injection coefficient.

[0022] In a fourth aspect, an embodiment of the present invention further discloses a coordinated control device for an optical storage system, which is applied to the upper-layer coordination controller of the optical storage system. The upper-layer coordination controller is connected to the controller module of each converter in the optical storage system. The device includes: a second acquisition module, configured to acquire the stability parameter value of each converter in the target optical storage system; a judgment module, configured to judge the stability of the target optical storage system according to the stability parameter value of each converter; a feedback module, configured to update the damping injection coefficient and the conductance injection coefficient of the corresponding converter according to the stability judgment result of the target optical storage system, and feedback the updated damping injection coefficient and the conductance injection coefficient to the controller module of the corresponding converter, so that the controller module of the converter coordinates and controls the working state of the converter according to the updated damping injection coefficient and the conductance injection coefficient.

[0023] Fifth aspect, embodiments of the present invention further disclose an electronic device, including: at least one processor; and a memory communicatively connected to the at least one processor; wherein, the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the optical storage system coordination control method according to the first aspect or any optional implementation manner of the first aspect, or to execute the optical storage system coordination control method according to the second aspect or any optional implementation manner of the second aspect.

[0024] Fourth aspect, embodiments of the present invention further disclose a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it implements the optical storage system coordination control method according to the first aspect or any optional implementation manner of the first aspect, or implements the optical storage system coordination control method according to the second aspect or any optional implementation manner of the second aspect. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following will briefly introduce the drawings required for the description of the specific embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0026] Figure 1 It is a flowchart of a specific example of the optical storage system coordination control method in an embodiment of the present invention;

[0027] Figure 2 It is a schematic diagram of a specific example of an optical storage system in an embodiment of the present invention;

[0028] Figure 3 It is a schematic diagram of a specific example of a converter in an embodiment of the present invention;

[0029] Figure 4 It is a schematic diagram of a specific example of the control strategy of the control law in an embodiment of the present invention;

[0030] Figure 5 It is a schematic diagram of a specific example of the control strategy of a converter in an embodiment of the present invention;

[0031] Figure 6 It is a flowchart of a specific example of the optical storage system coordination control method in an embodiment of the present invention;

[0032] Figure 7 It is a schematic diagram of a specific example of the converter power compensation and coordination control of an optical storage system in an embodiment of the present invention;

[0033] Figure 8It is a schematic block diagram of a specific example of the coordinated control device for the optical storage system in the embodiment of the present invention;

[0034] Figure 9 It is a schematic block diagram of a specific example of the coordinated control device for the optical storage system in the embodiment of the present invention;

[0035] Figure 10 It is a specific example diagram of an electronic device in the embodiment of the present invention. Detailed implementation manners

[0036] Next, the technical solutions of the present invention will be clearly and completely described in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0037] In the description of the present invention, it should be noted that the terms "first", "second", and "third" are only used for descriptive purposes and cannot be construed as indicating or implying relative importance.

[0038] In the description of the present invention, it should be noted that unless otherwise clearly specified and limited, the terms "connected" and "coupled" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can also be the internal communication of two components. It can be a wireless connection or a wired connection. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood in specific situations.

[0039] In addition, the technical features involved in different embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0040] The embodiment of the present invention discloses a coordinated control method for an optical storage system. The optical storage system includes at least one converter, and the coordinated control method for the optical storage system is applied to the controller module of the converter. In the embodiment of the present application, the optical storage system can be a source-network-load-storage optical storage system, and the schematic diagram of the optical storage system can be as Figure 2As shown in the figure, the source-network-load-storage photovoltaic storage system includes a photovoltaic power generation system (photovoltaic array), a energy storage system, an AC power grid, and multiple converters; the converters can include DC-DC converters (direct current - direct current converters). Among the multiple converters in the photovoltaic storage system, the performance of the converters directly determines whether the source-network-load-storage system can operate safely and reliably. A controller control module is integrated in the converters. In the embodiments of the present application, the controller module can include, but is not limited to, a DSP (Digital Signal Processing) module; as Figure 1 As shown in the figure, the method includes the following steps:

[0041] Step S101, obtain the power prediction model of the converter and the operating parameters of the converter. The power prediction model is used to characterize the relationship between the power disturbance in the converter and the operating parameters of the converter.

[0042] Exemplarily, the power prediction module can be a prediction module constructed in advance according to the operating characteristics of the converter, used to perform real-time prediction on the output power of the converter. The power prediction module can characterize the correlation between the power disturbance and the operating parameters of the converter; the operating parameters of the converter can include, but are not limited to, important parameters such as the input voltage and current and the output voltage and current of the converter.

[0043] As an optional implementation manner of the present invention, the power prediction model is constructed through the following steps:

[0044] Step a1, obtain the affine nonlinear system model under the disturbance state and the operating parameters of the converter.

[0045] Exemplarily, in the embodiments of the present application, the affine nonlinear system model under the disturbance state can be shown as the following formula (1):

[0046]

[0047] where x ∈ R n , x is the state of the system, and n is the dimension; u ∈ R m , u is the input of the system, and m is the dimension; d ∈ R q , d is the disturbance of the system, and q is the dimension; y ∈ R sq , y is the output vector of the system, and f(x), g(x), gd(x), and h(x) are smooth vector functions of x respectively.

[0048] Step a2, determine the disturbance observer model of the affine nonlinear system based on the affine nonlinear system model under the disturbance state.

[0049] Exemplarily, in the embodiments of the present application, when d in formula (1) is constant or slowly varying and bounded, the disturbance observer of the affine nonlinear system described by formula (1) can be as shown in the following formula (2):

[0050]

[0051] wherein, is the observed value vector of d, v ∈ R q , v is the internal state vector of the disturbance observer, l(x) is the gain matrix, b(x) is the vector function to be determined, is the intermediate variable, where b(x) satisfies the associated relationship in the following formula (3):

[0052]

[0053] Then the observation error of the disturbance observer and the observation error d e satisfy the associated relationship in the following formula (4):

[0054]

[0055] By selecting an appropriate l(x), d e can be made to asymptotically converge to zero; when 1 / (l(x)g d (x)) is larger, the convergence speed of the disturbance observer error is faster.

[0056] Step a3: Regarding the unknown power of the converter as a disturbance, determine the power prediction model of the converter based on the disturbance observer model, the unknown power of the converter, and the operating parameters of the converter.

[0057] Exemplarily, regarding the unknown power as a disturbance, the power prediction module can be designed according to the design idea of the disturbance observer. For the converter shown in Figure 3 , u Cn is the output voltage of the DC side of the converter, D n is the diode, T1 is the switching transistor, C n is the DC output side capacitor, S gn is the drive signal, L n is the inductor of the converter, i Ln is the inductor current of the converter, u Sn is the input voltage; Figure 2 The power prediction model of the converter shown in can be as shown in the following formula (5):

[0058]

[0059] wherein, is the predicted value of the unknown power, n is the identifier of the converter, γn is the gain of the power prediction module, is the internal auxiliary power prediction variable, x 1n is the converter inductor current i Ln , x 2n is the output voltage u of the DC side of the converter Cn , C n is the value of the DC output side capacitance, σ n is the control law of the converter.

[0060] Step S102, calculate the power prediction value of the converter according to the power prediction model of the converter, the operating parameters of the converter and the control law, and the control law is calculated according to the operating parameters of the converter, the current damping injection coefficient and the current conductance injection coefficient.

[0061] Exemplarily, in the embodiment of the present application, the operating parameters of the converter and the value of the control law are input into the power prediction model shown in Equation (5), and the power prediction value can be obtained The magnitude of the control law is related to the current damping injection coefficient and the current conductance injection coefficient.

[0062] Step S103, input the operating parameters, the power prediction value, the current damping injection coefficient and the current conductance injection coefficient into a pre-established stability parameter calculation model to obtain the stability parameter value of the converter, and the stability parameter value is used to characterize the stability information of the working state of the converter.

[0063] Exemplarily, the stability parameter calculation model can be a model established in advance according to the characteristics of the converter that can calculate the stability parameters of the converter. In the embodiment of the present application, the operating parameters, the power prediction value, the current damping injection coefficient and the current conductance injection coefficient are input into the pre-established stability parameter calculation model, and the stability parameter value of the converter is input. The stability parameter value of the converter can be used to evaluate the stability of the working state of the converter.

[0064] Step S104, send the stability parameter value of the converter to the upper-layer coordination controller, so that the upper-layer coordination controller determines the stability of the photovoltaic energy storage system according to the stability parameter value of the converter. If the upper-layer coordination controller determines that the stability of the photovoltaic energy storage system decreases, the upper-layer coordination controller updates the damping injection coefficient and the conductance injection coefficient.

[0065] Exemplarily, the converter sends the stability parameter value to the upper-layer coordination controller, and the upper-layer coordination will judge the stability of the photovoltaic energy storage system based on the stability parameter value of each converter. In the embodiment of the present application, the stability parameter values corresponding to Converter 1, Converter 2,..., Converter n among the n converters can be used Then the sum of the stability parameter values corresponding to the n converters in the photovoltaic energy storage system can be expressed by the following formula (6):

[0066]

[0067] Then the necessary and sufficient condition for the stability of the photovoltaic energy storage system is Then the following conditions (a) and (b) need to be satisfied: (a) Both are less than 0; (b) The stability parameter values of one or more converters in the system However

[0068] When the upper - layer coordination controller determines that the stability of the photovoltaic energy storage system decreases, it will update the damping injection coefficient and conductance injection coefficient corresponding to each converter.

[0069] Step S105, coordinately control the operating state of the converter according to the updated damping injection coefficient and conductance injection coefficient.

[0070] Exemplarily, in the embodiment of the present application, after receiving the updated damping injection coefficient and conductance injection coefficient, the converter coordinately controls its own operating state according to the updated damping injection coefficient and conductance injection coefficient, so that its own operating state tends to be stable.

[0071] For the coordinated control method of the photovoltaic energy storage system provided by the present invention, the controller module of the converter calculates the power prediction value of the converter, and based on the power prediction value, the current damping injection coefficient, the current conductance injection coefficient, and the pre - established stability parameter calculation model, calculates the stability parameter value of the converter, and sends the stability parameter to the upper - layer coordination controller, so that the upper - layer coordination controller determines the stability of the photovoltaic energy storage system based on the stability parameter value of the converter. When the stability of the photovoltaic energy storage system decreases, the upper - layer coordination controller updates the damping injection coefficient and conductance injection coefficient, and the controller module of the converter will coordinately control the operating state of the converter according to the updated damping injection coefficient and conductance injection coefficient. The monitoring of the operating state of the converter device layer in the photovoltaic energy storage system, and the upper - layer coordination controller timely judges the stability of the photovoltaic energy storage system according to the monitoring results of the device layer. Compared with the prior art, it effectively reduces the calculation amount of the upper - layer coordination controller; the upper - layer coordination controller issues instructions based on the stability judgment result, realizes the coordinated control of the operating states of each converter in the photovoltaic energy storage system on a small time scale, and realizes the fast tracking and control of the system steady - state operating point under large disturbances, improving the stability of the photovoltaic energy storage system.

[0072] As an optional implementation manner of the present invention, the method further includes:

[0073] Send the power prediction value to the upper - layer coordination controller so that the upper - layer coordination controller determines the power distribution coefficient according to the power prediction value.

[0074] Exemplarily, in the embodiments of the present application, the controller module of the converter sends the power prediction value to the upper-layer coordination controller, and the upper-layer coordination controller determines the power distribution coefficient according to the power prediction value of the converter and the actual demand of the photovoltaic and energy storage system.

[0075] Receive the power distribution coefficient, and coordinately control the operating state of the converter according to the power distribution coefficient.

[0076] Exemplarily, the controller module of the converter coordinates the output power of the converter based on the power distribution coefficient, thereby realizing the coordinated control of the operating state of the converter.

[0077] As an optional embodiment of the present invention, the control law is calculated based on a non-linear passive control model, and the non-linear passive control model is constructed through the following steps:

[0078] First, determine the converter dynamic equation according to the operating parameters of the converter and the control law, and the dynamic equation is used to characterize the relationship between the converter output voltage and the inductor current.

[0079] Exemplarily, in the embodiments of the present application, such as Figure 3 the converter shown in, the corresponding dynamic equation can be shown as the following formula (7):

[0080]

[0081] Wherein, i Ln is the inductor current, u Cn is the output voltage of the DC side, L n is the converter inductor, C n is the capacitor on the output side of the converter, P n is the output power of the converter, б n is the control law of the converter. If i Ln =

[0082] I LDn +i ln , u Cn =U CDn +u cn , I LDn and U CDn are the expected operating current and expected operating voltage of the converter respectively, and i ln and u cn are the dynamic errors of the inductor current and output voltage of the converter respectively. Therefore, the dynamic error energy storage function of the converter in the photovoltaic and energy storage system can be shown as the following formula (8):

[0083]

[0084] In the formula, i pnis the dynamic error of the converter output current. According to Equation (8), to achieve the stability of the converter under large disturbances, it is necessary to realize the real-time reduction and convergence of the dynamic error of the converter, that is

[0085] Secondly, based on the operating parameters of the converter and the dynamic equation of the converter, the dynamic error of the converter output voltage and the dynamic error of the inductor current are determined.

[0086] Exemplarily, in the embodiment of the present application, for the converter as Figure 3 shown, let the inductor magnetic flux x 1np = φ Ln = L n i Ln , the capacitor charge x 2np = q Cn = C n u Cn , take the state vector x pn = [x 1np x 2np T = [L n i Ln C n u Cn T , take the desired state vector as x nDP = [x 1nDP x 2nDP T = [L n i LnDP C n uC nDP T , i LnDP and u CnDP are the desired operating current and the desired operating voltage of the converter respectively, and the dynamic error state vector is x nE = x pn - x nDP , x nE = [x 1nE x 2nE T = [L n i ln C n u cn T , then the dynamic equation shown in Equation (7) can be transformed into the dynamic output equation shown in the following Equation (9):

[0087]

[0088] Substitute the dynamic error state vector x nE = x pn - x nDP ​​​​​​and x nE = [x 1nE x 2nE T = [L n i ln C n u cn T Substituting it into the dynamic output equation shown in Equation (9), the dynamic error output equation shown in the following Equation (10) is obtained:

[0089]

[0090] Then, based on the dynamic error of the converter output voltage and the dynamic error of the inductor current, a converter mathematical model based on dynamic error is determined.

[0091] Exemplarily, in the embodiment of the present application, according to the dynamic error output equation shown in Equation (10), the following Hamiltonian converter model of the converter with dissipation based on dynamic error shown in Equation (11) can be obtained:

[0092]

[0093] In Equation (11), y n is the system output vector, is the skew-symmetric interconnection matrix, satisfying J n-PCHD = -J n-PCHD T , x Pn T J n-PCHD x Pn = 0; P n is the output power of the converter, and the meanings of the remaining parameters are the same as those in the above embodiments.

[0094] Finally, a non-linear passive control model is determined based on the converter mathematical model based on dynamic error.

[0095] Exemplarily, in the embodiment of the present application, the derivative model Hpn(xPn) of the dynamic energy storage function is designed, and there is a skew-symmetric matrix J In-PCHD = J n-PCHD + J an-PCHD , where j an-PCHD > 0, the positive definite symmetric matrix R In-PCHD = R n-PCHD + R an-PCHD , where R an-PCHD = diag(r an-PCHD g an-PCHD ), r an-PCHD > 0, g​​an-PCHD > 0, j an-PCHD , r an-PCHD and g an-PCHD are the interconnected injection coefficient, damping injection coefficient, and conductance injection coefficient, respectively. Then Figure 3 the non-linear passive controller of the converter shown in

[0096]

[0097] can be obtained from Equation (12) as Figure 3 the control law of the converter shown in

[0098]

[0099] The control strategy of the control law of Equation (13) above can be as follows Figure 4 shown.

[0100] As an alternative embodiment of the present invention, the stability parameter calculation model is calculated through the following steps:[[]]

[0101] Step b1, calculate the derivative model of the dynamic energy storage function of the converter based on the non-linear passive control model.[[]]

[0102] Exemplarily, in the embodiments of the present application, the dynamic energy storage function H pn (x Pn ) of the derivative model can be as shown in Equation (14) below:[[]]

[0103]

[0104] Step b2, obtain the stability parameter calculation model according to the derivative model of the dynamic energy storage function.[[]]

[0105] Exemplarily, in the embodiments of the present application, the dynamic error state vector x nE is input into the derivative model of the dynamic energy storage function H pn (x Pn ) shown in Equation (14), and the stability parameter calculation model can be obtained

[0106] As an alternative embodiment of the present invention, according to the power prediction model of the converter, the operating parameters of the converter, and the control law, calculate the power prediction value of the converter, including:[[]]

[0107] Step c1, input the operating parameters of the converter into the power prediction model to obtain the target power value.[[]]

[0108] Exemplarily, in the embodiments of the present application, the target power value is a predicted value obtained after the converter is predicted by a power prediction model.

[0109] Step c2: Determine a power compensation value according to the operating parameters of the converter and a preset power compensation model.

[0110] Exemplarily, the preset power compensation model may be a power compensation model determined based on the power compensation requirements of the converter, and this model compensates the target power value based on preset power compensation parameters.

[0111] Step c3: Determine the power prediction value of the converter according to the target power value and the power compensation value.

[0112] Exemplarily, in the embodiments of the present application, adding the target power value and the power compensation can obtain the power prediction value of the converter. In the embodiments of the present application, based on the power compensation, the strategy diagram of the converter is as Figure 5 shown, where i Ln is the inductor current of the converter, u Cn is the DC-side output voltage, L n is the converter inductor, C n is the capacitor on the output side of the converter, γ n is the power prediction module gain, U CDn is the desired operating voltage of the converter, k n is the power compensation coefficient, ΔP n is the power compensation value, is the target power value, P refn is the power prediction value, I LDn and U CDn are the desired operating current and desired operating voltage of the converter respectively, S gn is the drive signal, σ n is the control law of the converter, J an-PCHD and r an-PCHD are the interconnection injection coefficient and damping injection coefficient respectively.

[0113] The embodiments of the present invention also disclose a coordinated control method for a photovoltaic energy storage system, which is applied to the upper-layer coordinated controller of the photovoltaic energy storage system. The upper-layer coordinated controller is connected to the controller modules of each converter in the photovoltaic energy storage system, as Figure 6 shown. This method includes:

[0114] Step S201: Obtain the stability parameter values of each converter in the target photovoltaic energy storage system.

[0115] Exemplarily, the upper-layer coordinated controller obtains the stability parameter values of each converter in the photovoltaic energy storage system.

[0116] Step S202: Determine the stability of the target energy storage system based on the stability parameter values of each converter.

[0117] Exemplarily, the specific content for determining the stability of the target energy storage system can refer to the description of the relevant content in step S104 in the above embodiment, which will not be elaborated here.

[0118] Step S203: Update the damping injection coefficient and conductance injection coefficient of the corresponding converter according to the stability determination result of the target energy storage system, and feedback the updated damping injection coefficient and conductance injection coefficient to the controller module of the corresponding converter, so that the controller module of the converter coordinates and controls the working state of the converter according to the updated damping injection coefficient and conductance injection coefficient.

[0119] Exemplarily, it can specifically refer to the description of the relevant content in step S105 in the above embodiment, which will not be elaborated here.

[0120] In the energy storage system coordinated control method provided by the present invention, the upper-layer coordinated controller determines the stability of the energy storage system based on the stability parameter values of each converter in the energy storage system, and updates the damping injection coefficient and conductance injection coefficient of the corresponding converter based on the stability determination result, so that the corresponding converter adjusts its own working state based on the updated damping injection coefficient and conductance injection coefficient, realizing the coordinated control of the working states of each converter in the energy storage system on a small time scale, and realizing the fast tracking and control of the system steady-state operating point under large disturbances, improving the stability of the energy storage system.

[0121] As an optional implementation manner of the present invention, after step S202, the method further includes:

[0122] First, obtain the power prediction value of each converter. Exemplarily, the specific content can refer to the description of the relevant content in the energy storage system coordinated control method in the above embodiment, which will not be elaborated here.

[0123] Second, determine the power distribution coefficient of the corresponding converter based on the power prediction value of each converter and the power adjustment requirement of the target energy storage system.

[0124] Exemplarily, the specific content can refer to the description of the relevant content in the energy storage system coordinated control method in the above embodiment, which will not be elaborated here.

[0125] Then, send the power distribution coefficient of each converter to the controller module of the corresponding converter.

[0126] Exemplarily, in the embodiment of the present application, the block diagram of the power compensation and coordinated control of the energy storage system converter can be as follows Figure 7 shown, where, u C1 、uC2 ……u Cn are the DC-side output voltages of converter 1, converter 2... converter n respectively, and U CD1 , U CD2 ……U CDn are the expected operating voltages of converter 1, converter 2... converter n respectively; PI 1 , PI 2 ……PI n are the PI controllers in the power compensation modules of converter 1, converter 2... converter n respectively, which can achieve zero-error regulation of the DC-side output voltage of the converter; k 1 , k 2 ……k n are the power compensation coefficients of converter 1, converter 2... converter n respectively, and ΔP 1 , ΔP 2 ……ΔP n are the power compensation values of converter 1, converter 2... converter n respectively, are the target power values of converter 1, converter 2... converter n respectively, and P ref1 , P ref2 ……P refn are the power prediction values of converter 1, converter 2... converter n respectively, and p 1 , p 2 ……p n are the power distribution coefficients of converter 1, converter 2... converter n respectively, and U CD1 , U CD2 ……U CDn are the expected operating voltages of converter 1, converter 2... converter n respectively.

[0127] An embodiment of the present invention also discloses a coordinated control device for a photovoltaic and energy storage system. The photovoltaic and energy storage system includes at least one converter, and a controller module applied to the converter. As Figure 8 shown, the device includes:

[0128] A first acquisition module 301, configured to acquire a power prediction model of the converter and operating parameters of the converter. The power prediction model is used to characterize the relationship between power disturbances in the converter and the operating parameters of the converter. For detailed content, refer to the description of step S101 in the above embodiment, which will not be elaborated here.

[0129] A calculation module 302, configured to calculate a power prediction value of the converter according to the power prediction model of the converter, the operating parameters of the converter, and a control law. The control law is calculated according to the operating parameters of the converter, the current damping injection coefficient, and the current conductance injection coefficient. For detailed content, refer to the description of step S102 in the above embodiment, which will not be elaborated here.

[0130] A determination module 303, configured to input an operating parameter, a power prediction value, a current damping injection coefficient, and a current conductance injection coefficient into a pre-established stability parameter calculation model to obtain a stability parameter value of the converter. The stability parameter value is used to characterize the stable information of the operating state of the converter. For detailed content, refer to the description of step S103 in the above embodiment, which will not be elaborated here.

[0131] A first sending module 304, configured to send the stability parameter value of the converter to an upper-layer coordination controller, so that the upper-layer coordination controller determines the stability of the photovoltaic energy storage system according to the stability parameter value of the converter. If the upper-layer coordination controller determines that the stability of the photovoltaic energy storage system decreases, the upper-layer coordination controller updates the damping injection coefficient and the conductance injection coefficient. For detailed content, refer to the description of step S104 in the above embodiment, which will not be elaborated here.

[0132] A coordination control module 305, configured to perform coordination control on the operating state of the converter according to the updated damping injection coefficient and conductance injection coefficient. For detailed content, refer to the description of step S105 in the above embodiment, which will not be elaborated here.

[0133] For the photovoltaic energy storage system coordination control device provided by the present invention, the controller module of the converter calculates the power prediction value of the converter, and based on the power prediction value, the current damping injection coefficient, the current conductance injection coefficient, and the pre-established stability parameter calculation model, calculates the stability parameter value of the converter, and sends the stability parameter to the upper-layer coordination controller, so that the upper-layer coordination controller determines the stability of the photovoltaic energy storage system based on the stability parameter value of the converter. When the stability of the photovoltaic energy storage system decreases, the upper-layer coordination controller updates the damping injection coefficient and the conductance injection coefficient, and the controller module of the converter will perform coordination control on the operating state of the converter according to the updated damping injection coefficient and conductance injection coefficient. The monitoring of the operating state of the converter device layer in the photovoltaic energy storage system, and the upper-layer coordination controller timely judges the stability of the photovoltaic energy storage system according to the monitoring results of the device layer. Compared with the prior art, the calculation amount of the upper-layer coordination controller is effectively reduced; the upper-layer coordination controller issues instructions based on the stability judgment result, realizes the coordination control of the operating states of the converters in the photovoltaic energy storage system on a small time scale, and realizes the fast tracking and control of the system steady-state operating point under large disturbances, improving the stability of the photovoltaic energy storage system.

[0134] As an optional implementation manner of the present invention, the device further includes: a second sending module, configured to send the power prediction value to the upper-layer coordination controller, so that the upper-layer coordination controller determines a power distribution coefficient according to the power prediction value; a receiving module, configured to receive the power distribution coefficient and perform coordination control on the operating state of the converter according to the power distribution coefficient.

[0135] As an optional implementation manner of the present invention, the first acquisition module includes: a first acquisition sub-module, configured to acquire an affine non-linear system model in a perturbed state and operating parameters of the converter; a first determination sub-module, configured to determine a perturbation observer model of the affine non-linear system based on the affine non-linear system model in the perturbed state; a second determination sub-module, configured to use the unknown power of the converter as a perturbation, and determine a power prediction model of the converter based on the perturbation observer model, the unknown power of the converter, and the operating parameters of the converter.

[0136] As an optional implementation manner of the present invention, the control law is calculated based on a non-linear passive control model. The calculation module includes: a third determination sub-module, configured to determine a converter dynamic equation according to the operating parameters of the converter and the control law, where the dynamic equation is used to characterize the relationship between the converter output voltage and the inductor current; a fourth determination sub-module, configured to determine the dynamic error of the converter output voltage and the dynamic error of the inductor current based on the operating parameters of the converter and the converter dynamic equation; a fifth determination sub-module, configured to determine a converter mathematical model based on the dynamic error according to the dynamic error of the converter output voltage and the dynamic error of the inductor current; a sixth determination sub-module, configured to determine a non-linear passive control model based on the converter mathematical model based on the dynamic error.

[0137] As an optional implementation manner of the present invention, the determination module includes: a calculation sub-module, configured to calculate a derivative model of the dynamic energy storage function of the converter based on the non-linear passive control model; a derivation sub-module, configured to obtain a stability parameter calculation model according to the derivative model of the dynamic energy storage function.

[0138] The embodiment of the present invention also discloses a coordinated control device for a photovoltaic and energy storage system, which is applied to an upper-layer coordinated controller of the photovoltaic and energy storage system. The upper-layer coordinated controller is connected to the controller module of each converter in the photovoltaic and energy storage system. As Figure 9 shown, the device includes: a second acquisition module 501, configured to acquire the stability parameter values of each converter in the target photovoltaic and energy storage system. For the detailed content, refer to the description of step S201 in the above embodiment, and details are not described herein again.

[0139] A judgment module 502, configured to judge the stability of the target photovoltaic and energy storage system according to the stability parameter values of each converter. For the detailed content, refer to the description of step S202 in the above embodiment, and details are not described herein again.

[0140] A feedback module 503 is configured to update the damping injection coefficient and the conductance injection coefficient of the corresponding converter according to the stability judgment result of the target energy storage system, and feedback the updated damping injection coefficient and conductance injection coefficient to the controller module of the corresponding converter, so that the controller module of the converter coordinates and controls the working state of the converter according to the updated damping injection coefficient and conductance injection coefficient. For detailed content, refer to the description of step S203 in the above embodiment, which will not be elaborated here.

[0141] For the energy storage system coordinated control device provided by the present invention, the upper-layer coordinated controller judges the stability of the energy storage system according to the stability parameter values of each converter in the energy storage system, and updates the damping injection coefficient and the conductance injection coefficient of the corresponding converter based on the stability judgment result, so that the corresponding converter adjusts its own working state based on the updated damping injection coefficient and conductance injection coefficient, realizing the coordinated control of the working states of the converters in the energy storage system on a small time scale, and realizing the fast tracking and control of the system steady-state operating point under large disturbances, improving the stability of the energy storage system.

[0142] As an optional implementation manner of the present invention, the device further includes: a second acquisition module, configured to acquire the power prediction value of each converter; an adjustment module, configured to determine the power distribution coefficient of the corresponding converter based on the power prediction value of each converter and the power adjustment requirement of the target energy storage system; and a third sending module, configured to send the power distribution coefficient of each converter to the controller module of the corresponding converter.

[0143] An embodiment of the present invention also provides an electronic device, as Figure 10 shown, the electronic device may include a processor 401 and a memory 402, where the processor 401 and the memory 402 may be connected through a bus or other means, Figure 10 taking the connection through the bus as an example.

[0144] The processor 401 may be a central processing unit (CPU). The processor 401 may also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), field programmable gate arrays (FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. chips, or a combination of the above various types of chips.

[0145] The memory 402, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs, non-transitory computer-executable programs, and modules, such as the program instructions / modules corresponding to the optical storage system coordination control method in the embodiments of the present invention. The processor 401 executes various functional applications and data processing of the processor by running the non-transitory software programs, instructions, and modules stored in the memory 402, that is, implements the optical storage system coordination control method in the above method embodiments.

[0146] The memory 402 may include a program storage area and a data storage area. Among them, the program storage area can store an operating system and application programs required for at least one function; the data storage area can store data created by the processor 401 and the like. In addition, the memory 402 may include high-speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, a flash memory device, or other non-transitory solid-state storage devices. In some embodiments, the memory 402 may optionally include a memory remotely disposed relative to the processor 401, and these remote memories can be connected to the processor 401 through a network. Examples of the above networks include, but are not limited to, the Internet, an enterprise intranet, a local area network, a mobile communication network, and combinations thereof.

[0147] The one or more modules are stored in the memory 402 and, when executed by the processor 401, execute the Figure 1 or Figure 6 optical storage system coordination control method in the embodiments shown.

[0148] For specific details of the above electronic device, reference can be made to the Figure 1 or Figure 6 corresponding related descriptions and effects in the shown embodiments for understanding, and details are not described herein again.

[0149] Those skilled in the art can understand that to implement all or part of the processes in the above method embodiments, it can be completed by instructing relevant hardware through a computer program. The program can be stored in a computer-readable storage medium, and when executed, it can include the processes of the above method embodiments. Among them, the storage medium can be a magnetic disk, an optical disc, a read-only memory (ROM), a random access memory (RAM), a flash memory, a hard disk drive (HDD), or a solid-state drive (SSD), etc.; the storage medium can also include a combination of the above types of memories.

[0150] Although embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of the present invention, and such modifications and variations fall within the scope defined by the appended claims.

Claims

1. A coordinated control method for a photovoltaic-storage system, the photovoltaic-storage system including at least one converter, characterized in that, the method is applied to a controller module of the converter, and the method includes: acquiring a power prediction model of the converter and operating parameters of the converter, the power prediction model being used to characterize the relationship between power disturbances in the converter and the operating parameters of the converter; calculating a power prediction value of the converter according to the power prediction model of the converter, the operating parameters of the converter, and a control law, the control law being calculated according to the operating parameters of the converter, a current damping injection coefficient, and a current conductance injection coefficient; inputting the operating parameters, the power prediction value, the current damping injection coefficient, and the current conductance injection coefficient into a pre-established stability parameter calculation model to obtain a stability parameter value of the converter, the stability parameter value being used to characterize the stability information of the working state of the converter; sending the stability parameter value of the converter to an upper-layer coordinated controller, so that the upper-layer coordinated controller determines the stability of the photovoltaic-storage system according to the stability parameter value of the converter, and if the upper-layer coordinated controller determines that the stability of the photovoltaic-storage system decreases, the upper-layer coordinated controller updates the damping injection coefficient and the conductance injection coefficient; coordinating and controlling the working state of the converter according to the updated damping injection coefficient and conductance injection coefficient; the stability parameter calculation model is obtained through the following steps: calculating a derivative model of a dynamic energy storage function of the converter based on a non-linear passive control model; obtaining the stability parameter calculation model according to the derivative model of the dynamic energy storage function; Derivative Model H of Dynamic Energy Storage Function pn (x Pn ), there exists an anti-symmetric matrix J In-PCHD = J n-PCHD + J an-PCHD , where j an-PCHD > 0, positive definite symmetric matrix R In-PCHD = R n-PCHD + R an-PCHD , where R an-PCHD = diag(r an-PCHD g an-PCHD ), r an-PCHD > 0, g an-PCHD > 0, j an-PCHD , r an-PCHD and g an-PCHD are the interconnection injection coefficient, damping injection coefficient and conductance injection coefficient respectively. The converter non-linear passive controller is shown as follows: The improved non-linear passive controller obtained based on the converter non-linear passive controller can obtain the dynamic energy storage function H pn (x Pn ) has a derivative model as shown in the following equation: Input the dynamic error state vector x nE into the derivative model of the dynamic energy storage function H pn (x Pn ), and the stability parameter calculation model can be obtained 2. The method according to claim 1, characterized in that, the method further includes: sending the power prediction value to an upper-layer coordinated controller, so that the upper-layer coordinated controller determines a power distribution coefficient according to the power prediction value; receiving the power distribution coefficient and coordinating and controlling the working state of the converter according to the power distribution coefficient.

3. The method according to claim 1, characterized in that, the power prediction model is constructed through the following steps: acquiring an affine non-linear system model under a disturbance state and operating parameters of the converter; determining a disturbance observer model of the affine non-linear system based on the affine non-linear system model under the disturbance state; using the unknown power of the converter as a disturbance, and determining the power prediction model of the converter based on the disturbance observer model, the unknown power of the converter, and the operating parameters of the converter.

4. The method according to claim 1, characterized in that, the control law is calculated based on a non-linear passive control model, and the non-linear passive control model is constructed through the following steps: determining a dynamic equation of the converter according to the operating parameters of the converter and the control law, the dynamic equation being used to characterize the relationship between the output voltage of the converter and the inductor current; Determine the dynamic error of the output voltage of the converter and the dynamic error of the inductor current based on the operating parameters of the converter and the dynamic equation of the converter; Determine a mathematical model of the converter based on the dynamic error according to the dynamic error of the output voltage of the converter and the dynamic error of the inductor current; Determine a non-linear passive control model based on the mathematical model of the converter with the dynamic error.

5. The method according to claim 1, wherein, calculating a power prediction value of the converter according to the power prediction model of the converter, the operating parameters of the converter and a control law, including: inputting the operating parameters of the converter into the power prediction model to obtain a target power value; determining a power compensation value according to the operating parameters of the converter and a preset power compensation model; determining the power prediction value of the converter according to the target power value and the power compensation value.

6. A coordinated control method for a photovoltaic and energy storage system, applied to an upper-layer coordinated controller of the photovoltaic and energy storage system, the upper-layer coordinated controller being connected to a controller module of each converter in the photovoltaic and energy storage system, wherein, the method includes: acquiring a stability parameter value of each converter in the target photovoltaic and energy storage system; judging the stability of the target photovoltaic and energy storage system according to the stability parameter value of each converter; updating the damping injection coefficient and the conductance injection coefficient of the corresponding converter according to the stability judgment result of the target photovoltaic and energy storage system, and feeding back the updated damping injection coefficient and the conductance injection coefficient to the controller module of the corresponding converter, so that the controller module of the converter coordinates and controls the working state of the converter according to the updated damping injection coefficient and the conductance injection coefficient.

7. The method according to claim 6, wherein, after judging the stability of the target photovoltaic and energy storage system according to the derivative model of the dynamic energy storage function of each converter, the method further includes: acquiring a power prediction value of each converter; determining a power distribution coefficient of the corresponding converter based on the power prediction value of each converter and the power adjustment requirement of the target photovoltaic and energy storage system; sending the power distribution coefficient of each converter to the controller module of the corresponding converter.

8. A coordinated control device for a photovoltaic and energy storage system, the photovoltaic and energy storage system including at least one converter, wherein, applied to the controller module of the converter, for executing the method according to claim 1, the device includes: a first acquisition module, configured to acquire the power prediction model of the converter and the operating parameters of the converter, the power prediction model being used to characterize the relationship between the power disturbance in the converter and the operating parameters of the converter; a calculation module, configured to calculate a power prediction value of the converter according to the power prediction model of the converter, the operating parameters of the converter and a control law, the control law being calculated according to the operating parameters of the converter, the current damping injection coefficient and the current conductance injection coefficient; A determination module, configured to input the operating parameters, the power prediction value, the current damping injection coefficient, and the current conductance injection coefficient into a pre-established stability parameter calculation model to obtain a stability parameter value of the converter, where the stability parameter value is used to characterize the stable information of the operating state of the converter; A first sending module, configured to send the stability parameter value of the converter to an upper-layer coordination controller, so that the upper-layer coordination controller determines the stability of the photovoltaic energy storage system according to the stability parameter value of the converter. If the upper-layer coordination controller determines that the stability of the photovoltaic energy storage system decreases, the upper-layer coordination controller updates the damping injection coefficient and the conductance injection coefficient; A coordination control module, configured to perform coordination control on the operating state of the converter according to the updated damping injection coefficient and conductance injection coefficient.

9. A coordinated control device for a photovoltaic energy storage system, applied to an upper-layer coordination controller of the photovoltaic energy storage system, where the upper-layer coordination controller is connected to a controller module of each converter in the photovoltaic energy storage system, characterized in that the device includes: A second acquisition module, configured to acquire the stability parameter value of each converter in the target photovoltaic energy storage system; A judgment module, configured to judge the stability of the target photovoltaic energy storage system according to the stability parameter value of each converter; A feedback module, configured to update the damping injection coefficient and the conductance injection coefficient of the corresponding converter according to the stability judgment result of the target photovoltaic energy storage system, and feedback the updated damping injection coefficient and conductance injection coefficient to the controller module of the corresponding converter, so that the controller module of the converter performs coordination control on the operating state of the converter according to the updated damping injection coefficient and conductance injection coefficient.

10. An electronic device, characterized in that it includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein, the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the photovoltaic energy storage system coordinated control method according to any one of claims 1-5, or execute the photovoltaic energy storage system coordinated control method according to claim 6 or 7.

11. A computer-readable storage medium, on which a computer program is stored, characterized in that when the computer program is executed by a processor, it implements the photovoltaic energy storage system coordinated control method according to any one of claims 1-5, or implements the photovoltaic energy storage system coordinated control method according to claim 6 or 7.

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