Multi-microgrid system scheduling method and system, storage medium and computer equipment

Abstract

The invention discloses a multi-micro-grid system scheduling method and system, a storage medium and computer equipment. The method comprises the following steps: acquiring parameters of each micro-grid in a multi-micro-grid system; solving a scheduling model of the multi-microgrid system according to each microgrid parameter to obtain a scheduling scheme of the multi-microgrid system; wherein the scheduling model of the multi-microgrid system takes the lowest total operation cost of the multi-microgrid system as a target, the considered constraint condition comprises a dynamic frequency security constraint set corresponding to each microgrid, and the dynamic frequency security constraint set corresponding to each microgrid is a dynamic frequency security constraint set established by considering microgrid tie line power oscillation; and scheduling the multi-microgrid system according to the scheduling scheme of the multi-microgrid system. The scheduling model aims at minimizing the total operation cost of the multi-microgrid system, constraint conditions comprise a dynamic frequency security constraint set established by considering microgrid tie line power oscillation, multi-scheduling is carried out based on the scheduling scheme obtained by solving the scheduling model, and it can be ensured that the scheduling result of the multi-microgrid meets the frequency security requirement.

Description

Technical Field

[0001] The present invention relates to a multi - microgrid system scheduling method, system, storage medium and computer device, belonging to the field of secure operation of microgrids. Background Art

[0002] In practical applications, the interconnection of multi - microgrids is the main development direction of microgrids. There are large differences in internal resource allocation and significant spatio - temporal characteristics of frequencies in multi - microgrid systems. When active power disturbances occur, the frequency security problems of microgrids become increasingly serious. However, there is currently no multi - microgrid system scheduling method whose scheduling results meet the frequency security requirements. Summary of the Invention

[0003] The present invention provides a multi - microgrid system scheduling method, system, storage medium and computer device, which solves the problems disclosed in the background art.

[0004] According to one aspect of the present disclosure, a multi - microgrid system scheduling method is provided, including:

[0005] Obtain the parameters of each microgrid in the multi - microgrid system;

[0006] According to the parameters of each microgrid, solve the scheduling model of the multi - microgrid system to obtain the scheduling scheme of the multi - microgrid system; wherein, the scheduling model of the multi - microgrid system aims to minimize the total operating cost of the multi - microgrid system, and the considered constraint conditions include the dynamic frequency security constraint sets corresponding to each microgrid. The dynamic frequency security constraint set corresponding to a microgrid is a dynamic frequency security constraint set established considering the power oscillation of the microgrid tie line;

[0007] Perform multi - microgrid system scheduling according to the scheduling scheme of the multi - microgrid system.

[0008] Further, the scheduling model of the multi - microgrid system is pre - constructed; the process of pre - constructing the scheduling model of the multi - microgrid system includes:

[0009] Traverse all microgrids in the multi - microgrid system, simplify the multi - microgrid system into a system where the currently traversed microgrid is interconnected with an equivalent microgrid, construct the coupled swing equation considering the power oscillation of the tie line for the microgrid in the simplified system, and obtain the dynamic frequency security constraint set corresponding to the currently traversed microgrid according to the coupled swing equation; wherein, the equivalent microgrid is a microgrid formed by equivalenting the non - currently traversed microgrids in the multi - microgrid system;

[0010] Construct the scheduling model of the multi - microgrid system with the goal of minimizing the total operating cost of the multi - microgrid system, considering the dynamic frequency security constraint sets corresponding to each microgrid.

[0011] Further, the coupled swing equation considering the power oscillation of the tie line for the microgrid in the simplified system is:

[0012] ;

[0013] wherein, H i is the inertia of the i-th microgrid, and the i-th microgrid is the currently traversed microgrid, Δf i (t) is the frequency offset of the i-th microgrid at time t, D i is the load frequency regulation effect coefficient of the i-th microgrid, are respectively the electricity consumption demand and active disturbance on the load side of the i-th microgrid, P FRi (t) is the primary frequency regulation output of the i-th microgrid at time t, is the tie-line oscillation power of the i-th microgrid, is the inertia of the equivalent microgrid r, H k is the inertia of the k-th non-currently traversed microgrid, Δf r (t) is the frequency offset of the equivalent microgrid r at time t, is the primary frequency regulation reserve of the equivalent microgrid r at time t, P FRk (t) is the primary frequency regulation reserve of the k-th non-currently traversed microgrid at time t, is the active disturbance of the equivalent microgrid r, is the active disturbance of the k-th non-currently traversed microgrid, is the tie-line oscillation power of the equivalent microgrid r, V i and V r are respectively the voltage amplitudes of the i-th microgrid and the equivalent microgrid r, X ir is the impedance between the i-th microgrid and the equivalent microgrid r, are respectively the frequency offsets of the i-th microgrid and the equivalent microgrid r at time, is the magnitude of the load frequency regulation ability of the equivalent microgrid r, D k is the load frequency regulation effect coefficient of the k-th non-currently traversed microgrid, is the electricity consumption demand on the load side of the k-th non-currently traversed microgrid.

[0014] Furthermore, the elements in the dynamic frequency security constraint set include the maximum frequency change rate constraint, the frequency extreme value deviation constraint, and the quasi-steady state frequency deviation constraint;

[0015] According to the coupled swing equation, the dynamic frequency security constraint set corresponding to the currently traversed microgrid is obtained, including:

[0016] Solve the frequency time-domain analytical formula of the coupled swing equation, and according to the frequency time-domain analytical formula, obtain the maximum frequency change rate constraint, the frequency extreme value deviation constraint, and the quasi-steady state frequency deviation constraint corresponding to the currently traversed microgrid.

[0017] Furthermore, the maximum frequency change rate constraint corresponding to the currently traversed microgrid is:

[0018] ;

[0019] In the formula, H i is the inertia of the i-th microgrid, and the i-th microgrid is the currently traversed microgrid. H r is the inertia of the equivalent microgrid r. are respectively the amplitude and angular frequency of the frequency oscillation between the i-th microgrid and the equivalent microgrid r. are respectively the maximum value of the maximum frequency change rate and the maximum frequency change rate of the i-th microgrid. is the active power disturbance of the multi-microgrid system.

[0020] The frequency extreme deviation constraint corresponding to the currently traversed microgrid is:

[0021] ;

[0022] In the formula, are respectively the load-side power consumption demand and active power disturbance of the i-th microgrid, t nadir is the time corresponding to the lowest frequency point, Δf i (t) is the frequency offset of the i-th microgrid at time t, Δf max is the maximum value of the extreme frequency, P FRi is the primary frequency regulation output of the i-th microgrid, T d is the time required for the complete response of the primary frequency regulation, D i is the load frequency regulation effect coefficient of the i-th microgrid, Δf i (t) is the frequency offset of the i-th microgrid at time t, V i and V r are respectively the voltage amplitudes of the i-th microgrid and the equivalent microgrid r, X ir is the impedance between the i-th microgrid and the equivalent microgrid r. are respectively the frequency offsets of the i-th microgrid and the equivalent microgrid r at time;

[0023] The quasi-steady state frequency deviation constraint corresponding to the currently traversed microgrid is:

[0024] ;

[0025] In the formula, is the primary frequency regulation reserve of the equivalent microgrid r, is the load frequency regulation effect coefficient of the -th microgrid, is the -th load-side power consumption demand of the microgrid, is the maximum value of the quasi-steady state frequency deviation, is the quasi-steady state frequency deviation of the previously traversed microgrid.

[0026] Further, the objective function of the scheduling model of the multi-microgrid system is as follows:

[0027] ;

[0028] ;

[0029] In the formula, f MG is the objective function value of the scheduling model of the multi-microgrid system, T is the scheduling period in a day, are respectively the power generation cost of the turbine unit, the energy storage operation cost, the power transmission cost between microgrids, and the demand response cost at time t, n is the total number of microgrids in the multi-microgrid system, are respectively the power generation cost parameter and the power generation at time t of the turbine unit of the i-th microgrid, are respectively the primary frequency regulation reserve cost parameter and the primary frequency regulation reserve at time t of the turbine unit of the i-th microgrid, is the energy storage loss cost parameter of the i-th microgrid, are respectively the charging power and the discharging power of the energy storage at time t of the i-th microgrid, is the power transmission cost coefficient between microgrids, is the transmission power between the i-th microgrid and the j-th microgrid at time t, are respectively the load shedding and load transfer cost coefficients, are respectively the load that can be shed and the load that can be transferred scheduled by the i-th microgrid at time t.

[0030] Further, according to the parameters of each microgrid, the scheduling model of the multi-microgrid system is solved to obtain the scheduling scheme of the multi-microgrid system, including:

[0031] Auxiliary variables are introduced into the scheduling model of the multi-microgrid system, and the transmission power between the connected microgrids in the scheduling model is eliminated to obtain a decoupled scheduling model;

[0032] The parameters of each microgrid are input into the decoupled scheduling model, and the alternating direction multiplier method is used to solve the decoupled scheduling model to obtain the scheduling scheme of the multi-microgrid system.

[0033] According to another aspect of the present disclosure, a multi-microgrid system scheduling system is provided, including:

[0034] A parameter acquisition module, which acquires the parameters of each microgrid in the multi-microgrid system;

[0035] The model solution module solves the scheduling model of the multi-microgrid system according to the parameters of each microgrid to obtain the scheduling plan of the multi-microgrid system. Among them, the scheduling model of the multi-microgrid system aims to minimize the total operating cost of the multi-microgrid system, and the considered constraint conditions include the dynamic frequency security constraint set corresponding to each microgrid. The dynamic frequency security constraint set corresponding to the microgrid is a dynamic frequency security constraint set established considering the power oscillation of the microgrid tie line.

[0036] The scheduling module performs the scheduling of the multi-microgrid system according to the scheduling plan of the multi-microgrid system.

[0037] Furthermore, it further includes a construction module for pre-constructing the scheduling model. The construction module is configured to:

[0038] Traverse all the microgrids in the multi-microgrid system, simplify the multi-microgrid system into a system where the currently traversed microgrid is interconnected with an equivalent microgrid, construct the coupled swing equation of the microgrid in the simplified system considering the power oscillation of the tie line, and obtain the dynamic frequency security constraint set corresponding to the currently traversed microgrid according to the coupled swing equation. Among them, the equivalent microgrid is a microgrid formed by equivalenting the non-currently traversed microgrids in the multi-microgrid system.

[0039] Taking the minimum total operating cost of the multi-microgrid system as the goal and considering the dynamic frequency security constraint sets corresponding to each microgrid, construct the scheduling model of the multi-microgrid system.

[0040] According to another aspect of the present disclosure, a computer-readable storage medium is provided. The computer-readable storage medium stores one or more programs. The one or more programs include instructions that, when executed by a computing device, cause the computing device to execute the method.

[0041] According to another aspect of the present disclosure, a computer device is provided, including one or more processors and one or more memories. The one or more programs are stored in the one or more memories and are configured to be executed by the one or more processors. The one or more programs include instructions for executing the method.

[0042] The beneficial effects achieved by the present invention: The scheduling model of the present invention aims to minimize the total operating cost of the multi-microgrid system. The constraint conditions include the dynamic frequency security constraint set established considering the power oscillation of the microgrid tie line. Multiple scheduling is performed based on the scheduling plan obtained by solving the scheduling model, which can ensure that the scheduling results of the multi-microgrid meet the frequency security requirements. Description of the Drawings

[0043] Figure 1 It is a flowchart of the multi-microgrid system scheduling method;

[0044] Figure 2 It is a scheduling plan diagram of fixed energy storage (abbreviation: "energy storage");

[0045] Figure 3 It is the frequency regulation capacity diagram of the turbine unit;

[0046] Figure 4 It is the online inertia diagram of the multi-microgrid system corresponding to two schemes;

[0047] Figure 5 It is the maximum frequency change rate diagram of Microgrid 1 under two schemes;

[0048] Figure 6 It is the frequency extreme value deviation diagram of Microgrid 1 under two schemes;

[0049] Figure 7 It is the block diagram of the multi-microgrid system dispatching system. Specific implementation manners

[0050] Next, the technical solutions in the embodiments of the present disclosure will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present disclosure. Obviously, the described embodiments are only a part of the embodiments of the present disclosure, rather than all the embodiments. The following description of at least one exemplary embodiment is actually only illustrative and in no way restricts the present disclosure and its application or use. Based on the embodiments in the present disclosure, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present disclosure.

[0051] Unless otherwise specifically stated, the relative arrangements, numerical expressions and values of the components and steps set forth in these embodiments do not limit the scope of the present disclosure.

[0052] Meanwhile, it should be understood that, for the sake of description, the dimensions of the various parts shown in the drawings are not drawn in actual proportional relationships.

[0053] For technologies, methods and devices known to those of ordinary skill in the relevant art, they may not be discussed in detail, but where appropriate, the said technologies, methods and devices should be regarded as a part of the specification.

[0054] In all the examples shown and discussed here, any specific value should be construed as merely exemplary, rather than as a limitation. Therefore, other examples of the exemplary embodiments may have different values.

[0055] It should be noted that: similar symbols and letters represent similar items in the following drawings. Therefore, once an item is defined in one drawing, it does not need to be further discussed in subsequent drawings.

[0056] The optimization model method is a method of obtaining the optimal solution by solving the optimization model, and is often used to solve problems such as the optimal allocation of resources, the optimal department structure, the rational layout of productivity, the optimal accumulation rate, the rational transportation of materials, and the minimum cost. The general steps for establishing an optimization model include: determining the decision variables, determining the objective function, and determining the constraint conditions; among them, the decision variables refer to the quantities to be determined related to the constraint conditions and the objective function in the optimization problem. Generally speaking, they all have some limiting conditions (constraint conditions) and are closely related to the objective function; in the optimization problem, the function for which the extreme value (or maximum and minimum values) is to be found related to the variables is called the objective function; in the optimization problem, the restrictions that the variables must satisfy when finding the extreme value of the objective function are called constraint conditions.

[0057] The embodiment of the present application provides a multi-microgrid system scheduling method based on the optimization model method, aiming to construct a scheduling model of a multi-microgrid system considering dynamic frequency security constraints for multi-microgrid system scheduling, which is applicable to the field of microgrid safe operation. The multi-microgrid system scheduling method can be executed by a scheduling device, and the scheduling device can be a terminal device or a server. Among them, the terminal device can include, but is not limited to, mobile phones, computers, smart wearable devices, intelligent vehicle-mounted devices, etc., and the embodiment of the present application does not make any restrictions; the server can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, big data, and artificial intelligence platforms, etc., and the embodiment of the present application does not make any restrictions. Optionally, the code error correction method can also be executed collaboratively by multiple electronic devices with computing power. For the convenience of description, the subsequent embodiments will be described with the scheduling device executing.

[0058] See Figure 1 , Figure 1 is a flowchart of a multi-microgrid system scheduling method provided by the embodiment of the present application. The multi-microgrid system scheduling method can be executed by a scheduling device, and the multi-microgrid system scheduling method can at least include the following steps:

[0059] Step 1, obtain the parameters of each microgrid in the multi-microgrid system.

[0060] It should be noted that the multi-microgrid system is composed of multiple interconnected microgrids. The resource configuration in the microgrid system includes turbine units, energy storage, demand response loads, and new energy generating units. The obtained microgrid parameters can include the upper and lower limits of turbine unit output, the upper and lower limits of turbine unit primary frequency regulation reserve, the upper and lower ramping limits of turbine units, the maximum charge and discharge power of energy storage, the energy state of energy storage, the energy boundary of energy storage, the primary frequency regulation reserve of energy storage, the load value, the fixed load, the transferable load, the proportion of load that can be curtailed, the predicted output value of new energy generating units, etc.

[0061] Step 2: Solve the scheduling model of the multi-microgrid system according to the parameters of each microgrid to obtain the scheduling plan of the multi-microgrid system. Among them, the scheduling model of the multi-microgrid system aims to minimize the total operating cost of the multi-microgrid system, and the considered constraint conditions include the dynamic frequency security constraint sets corresponding to each microgrid. The dynamic frequency security constraint set corresponding to a microgrid is a dynamic frequency security constraint set established considering the power oscillation of the microgrid tie line.

[0062] It should be noted that the scheduling model of the multi-microgrid system needs to be constructed in advance. When scheduling the multi-microgrid system for the first time, the scheduling model needs to be constructed once. If the structure of the multi-microgrid system remains unchanged subsequently, only the scheduling model constructed for the first time needs to be used for subsequent scheduling. If the structure of the multi-microgrid system changes subsequently, the scheduling model needs to be reconstructed.

[0063] The construction of the scheduling model can be the same as the method for constructing traditional optimization models, directly determining the decision variables, determining the objective function, and determining the constraint conditions for construction. However, in some embodiments, in order to reduce the difficulty of solution (specifically, the difficulty of solving the subsequent frequency analytical formula), the multi-microgrid system will be simplified first, and then the scheduling model will be constructed based on the simplified system. The specific process can be as follows:

[0064] 21) Traverse all the microgrids in the multi-microgrid system, simplify the multi-microgrid system into a system where the currently traversed microgrid is interconnected with an equivalent microgrid, construct the coupled swing equation considering the power oscillation of the tie line for the microgrid in the simplified system, and obtain the dynamic frequency security constraint set corresponding to the currently traversed microgrid according to the coupled swing equation. Among them, the equivalent microgrid is a microgrid formed by equivalenting the non-currently traversed microgrids in the multi-microgrid system.

[0065] The simplification of the multi-microgrid system is mainly to simplify multiple microgrids into several interconnected microgrids. For example, 10 microgrids are simplified into 5, 4, or 3 interconnected microgrids, etc. In order to achieve the most simplified system and reduce the solution difficulty as much as possible, here the system is simplified into a two-region microgrid interconnected structure. Assume that the multi-microgrid system includes Microgrid 1, Microgrid 2, and Microgrid 3. Therefore, Microgrid 2 and Microgrid 3 can be equivalent to one microgrid, and the multi-microgrid system is simplified into an interconnection between Microgrid 1 and the equivalent microgrid; Microgrid 1 and Microgrid 3 can be equivalent to one microgrid, and the multi-microgrid system is simplified into an interconnection between Microgrid 2 and the equivalent microgrid; Microgrid 2 and Microgrid 1 can be equivalent to one microgrid, and the multi-microgrid system is simplified into an interconnection between Microgrid 3 and the equivalent microgrid.

[0066] Three dynamic frequency security constraint sets can be obtained through three simplified systems, specifically, the dynamic frequency security constraint set corresponding to Microgrid 1, that is, the dynamic frequency security constraint set of the system composed of Microgrid 1 and the equivalent microgrid, the dynamic frequency security constraint set corresponding to Microgrid 2 and the equivalent microgrid, that is, the dynamic frequency security constraint set of the system composed of Microgrid 2 and the equivalent microgrid, and the dynamic frequency security constraint set corresponding to Microgrid 3 and the equivalent microgrid, that is, the dynamic frequency security constraint set of the system composed of Microgrid 3 and the equivalent microgrid.

[0067] Based on the average system frequency model, the multi-microgrid system can be equivalent to a two-area microgrid interconnection model (i.e., a model of one microgrid interconnected with one equivalent microgrid), as follows:

[0068] The coupled swing equation considering the tie-line power oscillation of the microgrids in the system can be as follows:

[0069] ;

[0070] In the formula, H i is the inertia of the i-th microgrid, , n is the total number of microgrids in the multi-microgrid system, Δf i (t) is the frequency deviation of the i-th microgrid at time t, D i is the load frequency regulation effect coefficient of the i-th microgrid, are respectively the electricity demand and active disturbance on the load side of the i-th microgrid, P FRi (t) is the primary frequency regulation output of the i-th microgrid at time t, is the tie-line oscillation power of the i-th microgrid.

[0071] The coupling term in the formula is , that is, the difference in the power input to the i-th microgrid by each tie-line before and after the disturbance occurs. The oscillation power is superimposed by each microgrid interconnected with the i-th microgrid. Therefore, the tie-line oscillation power of the i-th microgrid is linearly superimposed. The steady-state power transmission of the i-th microgrid can be described as:

[0072] ;

[0073] In the formula, is the steady-state power of the i-th microgrid, V i and V j are respectively the voltage amplitudes of the i-th microgrid and the j-th microgrid, X ij is the impedance between the i-th microgrid and the j-th microgrid, are respectively the steady-state voltage phase angles of the i-th microgrid and the j-th microgrid.

[0074] Assuming that the voltage amplitudes are not very different during steady-state operation, according to the trigonometric function theory, the above can be simplified to the two-area steady-state transmission form:

[0075] ;

[0076] In the formula, the parameters a, b, and c all represent mapping relationships. , , , are the voltage phase angles of the i-th microgrid and the n-th microgrid respectively, and X i2 is the impedance between the i-th microgrid and the 2nd microgrid, and X i1 is the impedance between the i-th microgrid and the 1st microgrid, and X in is the impedance between the i-th microgrid and the n-th microgrid.

[0077] Simplify the other microgrids interconnected with the i-th microgrid into an equivalent microgrid r. Referring to the steady-state power formula of the reference microgrid, the impedance magnitude of the equivalent microgrid r can be obtained. The voltage amplitude of the equivalent microgrid r is not much different from that of the i-th microgrid, and the steady-state voltage phase angle is represented by c. The power oscillation of the equivalent tie line can be expressed as:

[0078] ;

[0079] In the formula, is the oscillation power of the tie line of the equivalent microgrid r, and X ir is the impedance between the i-th microgrid and the equivalent microgrid r, and V r is the voltage amplitude of the equivalent microgrid r. are the frequency offset amounts of the i-th microgrid and the equivalent microgrid r at moment respectively.

[0080] Simplify the other microgrids interconnected with the i-th microgrid into an equivalent microgrid r. It is necessary to consider the frequency spatio-temporal differences between the i-th microgrid and the equivalent microgrid r. The frequency differences of each independent microgrid within the equivalent microgrid r can be ignored. At this time, only a third-degree polynomial needs to be decomposed in the process of solving the frequency analytical solution, and the frequency time-domain analytical solution can be obtained. The calculation of other equivalent parameters is as follows:

[0081] ;

[0082] In the formula, H r is the inertia of the equivalent microgrid r, and H k is the inertia of the k-th non-current traversed microgrid, and P FRr (t) is the primary frequency regulation reserve of the equivalent microgrid r at time t, and P FRk (t) is the primary frequency regulation reserve of the k-th non-current traversed microgrid at time t. is the active power disturbance of the equivalent microgrid r, is the active power disturbance of the k-th non-current traversed microgrid, is the magnitude of the load frequency regulation ability of the equivalent microgrid r, and D kis the load frequency regulation effect coefficient of the k-th non-currently traversed microgrid, is the electricity demand on the load side of the k-th non-currently traversed microgrid.

[0083] It should be noted that the maximum frequency change rate, the frequency extreme value deviation, and the quasi-steady state frequency deviation are three important indicators for measuring frequency security after a disturbance. The maximum frequency change rate reflects the initial response ability of the system to the disturbance and can be used to evaluate the inertia level of the system. The frequency extreme value deviation is the maximum amplitude of the system frequency deviating from the rated value after the disturbance, reflecting the maximum instability degree of the system after being impacted. The quasi-steady state frequency deviation is the size of the frequency deviation from the rated value when the system finally tends to be stable after experiencing dynamic adjustment, ensuring that the system can return to the normal operation range after the disturbance. Therefore, in some embodiments, the maximum frequency change rate, the frequency extreme value deviation, and the quasi-steady state frequency deviation are selected to establish a dynamic frequency security constraint set, that is, the elements in the dynamic frequency security constraint set include the maximum frequency change rate constraint, the frequency extreme value deviation constraint, and the quasi-steady state frequency deviation constraint.

[0084] In order to obtain the three key frequency indicators, in some embodiments, the frequency time-domain analytical formula of the coupled swing equation can be solved first, and then further based on the frequency time-domain analytical formula, the maximum frequency change rate constraint, the frequency extreme value deviation constraint, and the quasi-steady state frequency deviation constraint of the currently traversed microgrid can be obtained.

[0085] Assume that the currently traversed microgrid is the i-th microgrid. Then the multi-microgrid system is simplified to a system where the i-th microgrid is interconnected with the equivalent microgrid r. Then the coupled swing equation of the microgrid in the simplified system considering the power oscillation of the tie line can be expressed as:

[0086] ;

[0087] In the formula, Δf r (t) is the frequency offset of the equivalent microgrid r at time t.

[0088] The above equation represents a two-area interconnected model suffering from power disturbance, and the time-domain analytical formula can be further obtained through Laplace transform, as follows:

[0089] ;

[0090] The meaning of this formula is that the frequency dynamic response process after the microgrid disturbance is equal to the frequency of the multi-microgrid inertia center plus the inter-area oscillation; in the formula, is the frequency of the multi-microgrid inertia center, are respectively the attenuation factor, amplitude, angular frequency, phase shift, and constant term of the frequency oscillation between the i-th microgrid and the equivalent microgrid r.

[0091] It should be noted that the maximum frequency change rate occurs at the initial moment of the disturbance and can be obtained by taking the derivative of the time-domain analytical formula and setting t = 0+ Obtained at all times, and its expression can be conservatively estimated by ignoring the oscillation decay:

[0092] ;

[0093] The corresponding frequency extreme deviation constraint can be expressed as:

[0094] ;

[0095] In the formula, are the maximum value of the maximum frequency change rate and the maximum frequency change rate of the i-th microgrid respectively, is the active power disturbance of the multi-microgrid system.

[0096] It should be noted that there are multiple extreme points in the time-domain analytical formula, and it is difficult to accurately express the true extreme frequency by using the method of describing the extreme deviation with the analytical solution. To overcome this limitation, in some embodiments, the energy balance is used to describe the frequency lowest point constraint, that is, the first term in the coupled swing equation is integrated to obtain the frequency extreme deviation expression:

[0097] ;

[0098] In the formula, t nadir is the time corresponding to the frequency lowest point, Δf max is the maximum value of the extreme frequency, P FRi is the primary frequency regulation output of the i-th microgrid, T d is the time required for the complete response of the primary frequency regulation. This formula is the energy balance expression, and Δf max is a set value. If the above formula is satisfied, it can be ensured that when the active power disturbance occurs, the extreme frequency of the microgrid is less than or equal to Δf max .

[0099] It should be noted that the calculation method of the quasi-steady state frequency deviation is the same as that in the center frequency, and the expression is:

[0100] ;

[0101] The corresponding quasi-steady state frequency deviation constraint can be expressed as:

[0102] ;

[0103] In the formula, is the primary frequency regulation reserve of the equivalent microgrid r, is the load frequency regulation effect coefficient of the -th microgrid, is the load side electricity demand of the -th microgrid, is the maximum value of the quasi-steady state frequency deviation, is the quasi-steady state frequency deviation of the pre-traversed microgrid.

[0104] 22) With the goal of minimizing the total operating cost of the multi-microgrid system, considering the dynamic frequency security constraint sets corresponding to each microgrid, a scheduling model of the multi-microgrid system is constructed.

[0105] It should be noted that, combined with the resource configuration in the microgrid system, the total operating cost of the multi-microgrid system mainly includes the power generation cost of the turbine unit, the energy storage operation cost, the power transmission cost between microgrids, and the demand response cost. Therefore, the objective function of the scheduling model can be expressed as follows:

[0106] ;

[0107] ;

[0108] In the formula, f MG is the value of the objective function of the scheduling model of the multi-microgrid system, T is the scheduling period in a day, specifically 24 scheduling periods, are respectively the power generation cost of the turbine unit, the energy storage operation cost, the power transmission cost between microgrids, and the demand response cost at time t, are respectively the power generation cost parameter of the turbine unit of the i-th microgrid and the power generation at time t, are respectively the primary frequency regulation reserve cost parameter of the turbine unit of the i-th microgrid and the primary frequency regulation reserve at time t, is the energy storage loss cost parameter of the i-th microgrid, are respectively the charging power and discharging power of the energy storage of the i-th microgrid at time t, is the power transmission cost coefficient between microgrids, is the transmission power between the i-th microgrid and the j-th microgrid at time t, are respectively the load shedding and load transfer cost coefficients, are respectively the load that can be shed and the load that can be transferred scheduled by the i-th microgrid at time t.

[0109] The considered constraint conditions, in addition to the dynamic frequency security constraint sets corresponding to each microgrid mentioned above, also include conventional operation constraints and system constraints, which are specifically as follows:

[0110] A. Turbine unit constraints:

[0111] The turbine unit includes output constraints, ramp constraints, reserve capacity constraints, and operating state constraints affected by reserve capacity; the turbine unit can start and stop flexibly, and the minimum on-off time constraint can be ignored.

[0112] B. Fixed energy storage constraints:

[0113] Fixed energy storage can provide standby frequency regulation capacity to ensure that the microgrid has sufficient frequency regulation ability, including charge and discharge power constraints, energy storage capacity constraints, and standby frequency regulation capacity constraints.

[0114] C. Power balance constraint:

[0115] ;

[0116] In the formula, are the predicted values of wind, light, and load of the i-th microgrid at time t, respectively. are the output of the turbine unit of the i-th microgrid, the discharge power of the energy storage of the i-th microgrid, the electrical energy interaction power between the i-th microgrid and the j-th microgrid, and the charging power of the energy storage of the i-th microgrid at time t, respectively.

[0117] D. Microgrid inertia constraint:

[0118] ;

[0119] In the formula, is the total inertia of the i-th microgrid, is the inertia time constant of the turbine unit of the i-th microgrid, are the maximum power of the turbine unit of the i-th microgrid, the start-stop state variable of the turbine unit of the i-th microgrid, the inertia time constant of the energy storage of the i-th microgrid, and the maximum charge and discharge power of the energy storage of the i-th microgrid, respectively.

[0120] E. Power transfer constraint between microgrids:

[0121] ;

[0122] ;

[0123] In the formula, is the transfer power between the i-th microgrid and the j-th microgrid at time t, is the maximum transfer power between the i-th microgrid and the j-th microgrid at time t.

[0124] F. Dynamic frequency security constraint set, that is, the maximum frequency change rate constraint, frequency extreme value deviation constraint, and quasi-steady state frequency deviation constraint corresponding to each microgrid.

[0125] It should be noted that the multi-microgrid system scheduling strategy problem can be equivalently transformed into a power transfer problem with the minimum cost. Since the power transfer constraints between microgrids are multiplicatively coupled in the costs of each microgrid, in some embodiments, when solving the scheduling model of the multi-microgrid system, the scheduling model of the multi-microgrid system is first decoupled as follows:

[0126] Auxiliary variables are introduced into the scheduling model of the multi - microgrid system to eliminate the transmission power between connected microgrids in the scheduling model, and the decoupled scheduling model is obtained.

[0127] It should be noted that represents the transmission power between the i - th microgrid and the j - th microgrid. There is a variable to be solved for each pair of microgrids, which increases the difficulty of model solution. Auxiliary variables can be introduced represents the transmission power from the j - th microgrid to the i - th microgrid, and the model is transformed into a double - coupling:

[0128] ;

[0129] When , it means that the expected transaction power of microgrids is the same. Introducing can eliminate and complete the decoupling.

[0130] Furthermore, the parameters of each microgrid are input into the decoupled scheduling model, and the alternating direction multiplier method is used to solve the decoupled scheduling model to obtain the scheduling scheme of the multi - microgrid system.

[0131] The process of solving by the alternating direction multiplier method can be as follows:

[0132] 1) Establish the augmented Lagrangian function of the model;

[0133] ;

[0134] In the formula, L i is the augmented Lagrangian function, and it is necessary to solve the variable value when the Lagrangian function is minimized. is the total operating cost of the i - th microgrid, is the Lagrange multiplier, is the penalty factor, and its value is set to 10 -4 .

[0135] 2) The microgrid updates the power transmission strategy;

[0136] The microgrids exchange information on the expected transmission power, inertia size, and reserve capacity, and update the decision according to this information through the following formula:

[0137] The decision is updated through the following formula in the m - th iteration , that is, the transmission power between the i - th microgrid and the j - th microgrid in the (m + 1) - th iteration:

[0138] ;

[0139] In the formula, is the Lagrange multiplier in the m - th iteration, is the transmission power between the \(i\)-th microgrid and the \(j\)-th microgrid in the \(m\)-th iteration, is an auxiliary variable in the \(m\)-th iteration, is the inertia of the \(i\)-th microgrid in the \(m\)-th iteration, is the primary frequency regulation reserve of the \(i\)-th microgrid in the \(m\)-th iteration.

[0140] 3) The Lagrange multipliers are updated according to the rules;

[0141] ;

[0142] where, is the Lagrange multiplier in the \(m\)-th iteration.

[0143] 4) The iteration number is incremented by 1, and it is judged whether it converges:

[0144] ;

[0145] where, is the threshold value, and its value is 0.01. That is, if the above formula holds, the iteration ends; otherwise, return to 2) to enter a new iteration until the convergence condition is satisfied, the solution is successful, or the maximum number of iterations is reached and the solution fails.

[0146] Step 3, according to the scheduling scheme of the multi-microgrid system, perform the multi-microgrid system scheduling.

[0147] To verify the above method, 3 microgrids with different resource configurations are set. Each microgrid is equipped with 2 turbine units and 1 fixed energy storage. Microgrid 1 is equipped with a wind power generation unit, and Microgrid 2 and Microgrid 3 are respectively equipped with a group of photovoltaic power generation units. The operating parameters of the microgrids are shown in Table 1, and the configuration parameters of the multi-microgrid system are shown in Table 2.

[0148] Table 1 Microgrid Configuration Parameter Table

[0149]

[0150] Table 2 Multi-Microgrid System Configuration Parameter Table

[0151]

[0152] To verify the effectiveness of the above method, 2 scheduling schemes are set for comparison:

[0153] Scheme 1: Considering the dynamic frequency security constraints between microgrids, solve based on the alternating multiplier method, that is, the above method; Scheme 2: Without considering the dynamic frequency security constraints between microgrids, solve based on the alternating multiplier method.

[0154] The analysis of the scheduling results is as Figure 2 、 Figure 3As shown below. Taking the fixed energy storage dispatching scheme of Microgrid 1 as an example for analysis, from Figure 2 it can be seen that the frequency regulation capacity provided by the fixed energy storage in Scheme 1 is greater than that in Scheme 2 throughout the whole period. The method considering dynamic frequency security constraints can fully dispatch the fixed energy storage to provide more frequency regulation resources. From Figure 3 it can be seen that the frequency regulation capacity provided by the turbine units in Scheme 2 is only higher than the minimum limit value during the period from 10:00 to 17:00, while the frequency regulation capacity provided by the turbine units in Scheme 1 is at a relatively high level in most periods. By comparison, the dispatching method considering dynamic frequency security constraints fully allocates the frequency regulation capacity of the turbine units and can better support the frequency regulation ability of the microgrid.

[0155] The analysis of the frequency response characteristics of the microgrid is as shown in Figures 4 - 6 below. Figure 4 Figure Figure 4 shows the online total inertia diagram of the multi-microgrid system corresponding to the two schemes. It can be seen from Figure 5 that the inertia magnitude of Scheme 2 is lower than that of Scheme 1 throughout the whole period. Especially during the period from 8:00 to 17:00 when the photovoltaic power generation reaches the peak, due to sufficient new energy power generation, most of the turbine units in Scheme 2 are in the shutdown state, and the number of turbine units providing the main inertia support is small, resulting in its low inertia and prone to safety accidents. Figure 5 Figure Figure 5 shows the comparison diagram of the maximum frequency change rate of Microgrid 1 under different schemes. It can be seen from Figure 6 that the maximum frequency change rate under the dispatching result of Scheme 1 is within the safe range throughout the whole period, while during the period from 10:00 to 12:00 in the dispatching result of Scheme 2, the maximum frequency change rate of Microgrid 1 exceeds the safe range. This is because the proportion of new energy output is relatively high during the period from 10:00 to 12:00, the anticipated disturbance and the oscillating power of the tie line are relatively large, and a larger online inertia is required to ensure that the maximum frequency change rate is within the safe range. However, the online inertia level of Scheme 2 is low during the period from 10:00 to 12:00 and it is difficult to suppress the maximum frequency change rate from exceeding the safe range. The inertia level of Scheme 1 is high during this period, ensuring that the maximum frequency change rate is within the safe range, proving the advantage of dynamic frequency security constraints in ensuring frequency security. Figure 6 Figure Figure 6 shows the comparison diagram of the frequency extreme value deviation of Microgrid 1 under different schemes. It can be seen from

[0156] that during the period from 7:00 to 16:00, the frequency extreme value deviation of Scheme 2 exceeds the safe range. Since the output of the new energy units gradually increases during this period, the anticipated disturbance and the power oscillation of the tie line are relatively large, and the frequency regulation capacity in the dispatching result of Scheme 2 is small and the online inertia level is low, making it difficult to suppress the frequency deviation. Scheme 1 can ensure that the frequency extreme value deviation at all times under the anticipated disturbance of the microgrid is within the safe range, proving the advantage of Scheme 1 in improving the frequency security of the microgrid.

[0156] Based on the above verification, the scheduling model of the above method aims to minimize the total operating cost of the multi-microgrid system. The constraint conditions include the dynamic frequency security constraint set established by considering the power oscillation of the microgrid tie line. Based on the scheduling plan obtained by solving the scheduling model, multi-scheduling is carried out, which can ensure that the scheduling results of the multi-microgrid meet the frequency security requirements.

[0157] See Figure 7 , Figure 7 which is a block diagram of a multi-microgrid system scheduling system provided by an embodiment of the present application. The system is a virtual system that can be loaded and executed by a computer device, and the computer device may include the above scheduling device. Figure 7 The system may include a parameter acquisition module, a model solving module, and a scheduling module. When used to execute the above multi-microgrid system scheduling method, it can:

[0158] The parameter acquisition module is used to acquire the parameters of each microgrid in the multi-microgrid system.

[0159] The model solving module is used to solve the scheduling model of the multi-microgrid system according to the parameters of each microgrid to obtain the scheduling plan of the multi-microgrid system. Among them, the scheduling model of the multi-microgrid system aims to minimize the total operating cost of the multi-microgrid system, and the considered constraint conditions include the dynamic frequency security constraint set corresponding to each microgrid. The dynamic frequency security constraint set corresponding to the microgrid is the dynamic frequency security constraint set established by considering the power oscillation of the microgrid tie line.

[0160] The scheduling module is used to perform multi-microgrid system scheduling according to the scheduling plan of the multi-microgrid system.

[0161] It should be noted that, on the basis of Figure 7 , the system further includes a construction module for pre-constructing the scheduling model. The construction module is configured to: traverse all the microgrids in the multi-microgrid system, simplify the multi-microgrid system into a system where the currently traversed microgrid is interconnected with an equivalent microgrid, construct the coupled swing equation considering the power oscillation of the tie line for the microgrid in the simplified system, and obtain the dynamic frequency security constraint set corresponding to the currently traversed microgrid according to the coupled swing equation. Among them, the equivalent microgrid is a microgrid formed by equivalenting the non-currently traversed microgrids in the multi-microgrid system. Aiming at minimizing the total operating cost of the multi-microgrid system and considering the dynamic frequency security constraint sets corresponding to each microgrid, the scheduling model of the multi-microgrid system is constructed.

[0162] Similar to the above method, the scheduling model of the above system aims to minimize the total operating cost of the multi-microgrid system. The constraint conditions include the dynamic frequency security constraint set established by considering the power oscillation of the microgrid tie line. Based on the scheduling plan obtained by solving the scheduling model, multi-scheduling is carried out, which can ensure that the scheduling results of the multi-microgrid meet the frequency security requirements.

[0163] The present disclosure also relates to a computer-readable storage medium storing one or more programs, the one or more programs including instructions that, when executed by a computing device, cause the computing device to execute a multi-microgrid system scheduling method.

[0164] The present disclosure also relates to a computer device including one or more processors and one or more memories. One or more programs are stored in the one or more memories and configured to be executed by the one or more processors. The one or more programs include instructions for executing a multi-microgrid system scheduling method.

[0165] Those skilled in the art should understand that the embodiments of the present invention may be provided as a method, a system, or a computer program product. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memories, CD-ROMs, optical memories, etc.) containing computer-usable program code.

[0166] The present invention is described with reference to the flowcharts and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the present invention. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and the combination of flows and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices produce means for implementing the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0167] These computer program instructions can also be stored in a computer-readable memory capable of guiding a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the computer-readable memory produce a manufactured article including instruction means for implementing the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0168] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process. Thus, the instructions executed on the computer or other programmable device provide means for implementing the functions specified in Figure 1 one flow or multiple flows and / or blocksFigure 1 Steps of functions specified in one or more boxes.

[0169] The above are only embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention are included within the scope of the claims of the present invention pending approval of the application.

Claims

1. A multi-microgrid system scheduling method, characterized in that: include: Obtain parameters of each microgrid in a multi-microgrid system; According to the parameters of each microgrid, the dispatch model of the multi-microgrid system is solved to obtain the dispatch scheme of the multi-microgrid system; wherein, the dispatch model of the multi-microgrid system takes the lowest total operating cost of the multi-microgrid system as the goal, and the considered constraints include the dynamic frequency security constraint set corresponding to each microgrid, and the dynamic frequency security constraint set corresponding to the microgrid is the dynamic frequency security constraint set established considering the power oscillation of the microgrid interconnection line; The multi-microgrid system is dispatched according to the dispatching plan of the multi-microgrid system.

2. The method according to claim 1, characterized in that The dispatch model of multi-microgrid system is pre-built; The process of pre-building a dispatch model for a multi-microgrid system includes: Traverse all microgrids in the multi-microgrid system, simplify the multi-microgrid system into a system in which the currently traversed microgrid is interconnected with an equivalent microgrid, construct a coupled swing equation of the microgrid in the simplified system that takes into account the power oscillation of the tie line, and obtain a dynamic frequency security constraint set corresponding to the currently traversed microgrid based on the coupled swing equation; wherein the equivalent microgrid is a microgrid in the multi-microgrid system that is equivalent to a microgrid other than the currently traversed microgrid; With the goal of minimizing the total operating cost of the multi-microgrid system, a scheduling model of the multi-microgrid system is constructed by considering the dynamic frequency security constraint set corresponding to each microgrid.

3. The method according to claim 2, characterized in that The coupled swing equation of the microgrid in the simplified system considering the tie line power oscillation is: ； In the formula, H i is the inertia of the i-th microgrid, the i-th microgrid is the currently traversed microgrid, Δf i (t) is the frequency offset of the i-th microgrid at time t, D i is the load frequency regulation effect coefficient of the i-th microgrid, are the load-side power demand and active power disturbance of the i-th microgrid, P FRi (t) is the frequency modulation output of the i-th microgrid at time t, is the tie line oscillation power of the i-th microgrid, is the inertia of the equivalent microgrid r, H k is the inertia of the kth non-current ergodic microgrid, Δf r (t) is the frequency offset of the equivalent microgrid r at time t, is the primary frequency regulation reserve of the equivalent microgrid r at time t, P FRk (t) is the primary frequency regulation reserve of the kth non-currently traversed microgrid at time t, is the active disturbance of the equivalent microgrid r, is the active disturbance of the kth non-current ergodic microgrid, is the oscillation power of the tie line of the equivalent microgrid r, V i and V r are the voltage amplitudes of the i-th microgrid and the equivalent microgrid r, respectively, X ir is the impedance between the ith microgrid and the equivalent microgrid r, The i-th microgrid and the equivalent microgrid r are The frequency offset at time, is the load frequency regulation capability of the equivalent microgrid r, D k is the load frequency regulation effect coefficient of the kth non-current ergodic microgrid, is the load-side power demand of the kth non-currently traversed microgrid.

4. The method according to claim 2, characterized in that: The elements in the dynamic frequency safety constraint set include the maximum frequency change rate constraint, the frequency extreme deviation constraint and the quasi-steady-state frequency deviation constraint; According to the coupled swing equation, the dynamic frequency security constraint set corresponding to the current ergodic microgrid is obtained, including: The frequency-time-domain analytical expression of the coupled swing equation is solved, and according to the frequency-time-domain analytical expression, the maximum frequency change rate constraint, frequency extreme deviation constraint and quasi-steady-state frequency deviation constraint corresponding to the current ergodic microgrid are obtained.

5. The method according to claim 4, characterized in that The maximum frequency change rate constraint corresponding to the current traversal microgrid is: ； In the formula, H i is the inertia of the ith microgrid, the ith microgrid is the currently traversed microgrid, H r is the inertia of the equivalent microgrid r, are the amplitude and angular frequency of the frequency oscillation between the i-th microgrid and the equivalent microgrid r, are the maximum value of the maximum frequency change rate and the maximum frequency change rate of the i-th microgrid, respectively. is the active disturbance of the multi-microgrid system; The frequency extreme deviation constraint corresponding to the current ergodic microgrid is: ； In the formula, are the load-side power demand and active power disturbance of the i-th microgrid, t nadir is the time corresponding to the lowest frequency point, Δf i (t) is the frequency offset of the i-th microgrid at time t, Δf max is the maximum value of the extreme frequency, P FRi is the primary frequency modulation output of the i-th microgrid, T d D is the time required for a frequency modulation to fully respond. i is the load frequency regulation effect coefficient of the i-th microgrid, Δf i (t) is the frequency offset of the i-th microgrid at time t, V i and V r are the voltage amplitudes of the i-th microgrid and the equivalent microgrid r, respectively, X ir is the impedance between the ith microgrid and the equivalent microgrid r, The i-th microgrid and the equivalent microgrid r are The frequency offset at the moment; The quasi-steady-state frequency deviation constraint corresponding to the current ergodic microgrid is: ； In the formula, is the primary frequency regulation reserve of the equivalent microgrid r, For the The load frequency regulation effect coefficient of a microgrid is For the The load-side electricity demand of each microgrid, is the maximum value of the quasi-steady-state frequency deviation, is the quasi-steady-state frequency deviation of the previous ergodic microgrid.

6. The method according to claim 1 or 2, characterized in that: The objective function of the dispatch model of the multi-microgrid system is: ； ； In the formula, f MG is the objective function value of the dispatch model of the multi-microgrid system, T is the dispatch period of the day, are the turbine generation cost, energy storage operation cost, inter-microgrid power transmission cost and demand response cost at time t, n is the total number of microgrids in the multi-microgrid system, are the power generation cost parameters of the turbine unit of the i-th microgrid and the power generation at time t, are the primary frequency regulation reserve cost parameter of the turbine unit of the i-th microgrid and the primary frequency regulation reserve at time t, is the energy storage loss cost parameter of the i-th microgrid, are the charging power and discharging power of the energy storage at time t of the i-th microgrid, is the cost coefficient of power transmission between microgrids, is the transmission power between the i-th microgrid and the j-th microgrid at time t, are the load reduction and load shifting cost coefficients, respectively. They are the curtailable load and transferable load dispatched by the i-th microgrid at time t respectively.

7. The method according to claim 1, characterized in that According to the parameters of each microgrid, the dispatch model of the multi-microgrid system is solved to obtain the dispatch scheme of the multi-microgrid system, including: Auxiliary variables are introduced into the dispatch model of the multi-microgrid system to eliminate the transmission power between connected microgrids in the dispatch model and obtain a decoupled dispatch model. The parameters of each microgrid are input into the decoupled dispatch model, and the alternating direction multiplier method is used to solve the decoupled dispatch model to obtain the dispatch scheme of the multi-microgrid system.

8. A multi-microgrid system dispatching system based on the method according to any one of claims 1 to 7, characterized in that: include: A parameter acquisition module, which acquires the parameters of each microgrid in the multi-microgrid system; The model solving module solves the dispatching model of the multi-microgrid system according to the parameters of each microgrid to obtain the dispatching scheme of the multi-microgrid system; wherein the dispatching model of the multi-microgrid system takes the lowest total operating cost of the multi-microgrid system as the goal, and the considered constraints include the dynamic frequency security constraint set corresponding to each microgrid, and the dynamic frequency security constraint set corresponding to the microgrid is the dynamic frequency security constraint set established considering the power oscillation of the microgrid interconnection line; The scheduling module schedules the multi-microgrid system according to the scheduling plan of the multi-microgrid system.

9. The system according to claim 8, characterized in that Also included are building blocks for pre-building scheduling models; The building blocks are configured as: Traverse all microgrids in the multi-microgrid system, simplify the multi-microgrid system into a system in which the currently traversed microgrid is interconnected with an equivalent microgrid, construct a coupled swing equation of the microgrid in the simplified system that takes into account the power oscillation of the tie line, and obtain a dynamic frequency security constraint set corresponding to the currently traversed microgrid based on the coupled swing equation; wherein the equivalent microgrid is a microgrid in the multi-microgrid system that is equivalent to a microgrid other than the currently traversed microgrid; With the goal of minimizing the total operating cost of the multi-microgrid system, a scheduling model of the multi-microgrid system is constructed by considering the dynamic frequency security constraint set corresponding to each microgrid.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores one or more programs, and the one or more programs include instructions. When the instructions are executed by a computing device, the computing device executes any one of the methods of claims 1 to 7.

11. A computer device, characterized in that: include: One or more processors and one or more memories, one or more programs are stored in the one or more memories and are configured to be executed by the one or more processors, and the one or more programs include instructions for executing any of the methods described in claims 1 to 7.

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