ESV-SOP energy management and control method, device, equipment, medium and product

Abstract

The invention relates to an ESV-SOP energy management and control method, device and equipment, a medium and a product. The method comprises the following steps: constructing a network reconstruction upper mathematical model of the power distribution network; setting an upper objective function, and forming a network reconstruction solution structure; constructing a lower-layer operation resource scheduling model; setting a lower objective function, and forming a resource scheduling solution structure; and determining the ESV-SOP scheduling process and the output power of the dynamic DRES according to the resource scheduling solution structure. Therefore, the problem that the existing ESV-SOP grid-connected control mode is single is solved, a mathematical model with two modes for flexible switching is established, and the applicability of the ESV-SOP to various working scenes can be fully exerted. The network reconstruction process and resource optimization scheduling are independently solved by adopting a double-layer solving structure, and the solving speed is improved, so that the emergency level of the power distribution network can be remarkably improved, the power supply load is guaranteed, and the toughness of a power system is greatly improved.

Description

Technical Field

[0001] The present application relates to the field of power grid control technology, and in particular to an ESV-SOP energy management and control method, apparatus, computer equipment, computer-readable storage medium, and computer program product. Background Art

[0002] As the demand for energy supply in the power system continues to increase, fully coordinating existing resources within the system, formulating a reasonable emergency control mechanism, efficiently restoring power-lost loads, and reducing system power outage losses have become an inevitable trend in the current system development.

[0003] In traditional technologies, power supply recovery capabilities are mainly improved by regulating existing equipment such as energy storage devices, renewable energy power generation equipment (such as photovoltaics, wind power, and energy storage), and mobile emergency power supplies.

[0004] However, fixed devices, constrained by geographical distribution, have limited application in long-distance fault scenarios and are difficult to efficiently control the power flow distribution at the end of the grid. Summary of the Invention

[0005] Based on this, it is necessary to provide an ESV-SOP energy management method, device, computer equipment, computer-readable storage medium and computer program product to address the above technical problems, which can improve the emergency level of the distribution network, ensure the power supply load, and greatly enhance the system resilience.

[0006] In a first aspect, the present application provides an ESV-SOP energy management and control method, the method comprising:

[0007] Constructing an upper-level mathematical model for distribution network reconstruction; wherein the upper-level mathematical model for distribution network reconstruction includes: a distribution network reconstruction mathematical model, a manual repair team model, and a tie switch model; the distribution network reconstruction mathematical model is used to analyze and optimize the distribution network, the manual repair team model is used to perform maintenance scheduling on nodes with faults in the distribution network, and the tie switch model is used to adjust the topology of the distribution network;

[0008] An upper-level objective function is set based on the upper-level mathematical model of the distribution network reconstruction, and a network reconstruction solution structure is formed; the upper-level objective function is used to constrain the load support amount under the emergency state; the network reconstruction solution structure is to adjust at least one indicator of the distribution network according to the change of at least one switch state in the distribution network; the indicator includes: node load;

[0009] Based on the network reconstruction solution structure, a lower-layer operation resource scheduling model is constructed; the lower-layer operation resource scheduling model is used to determine the scheduling strategy of the ESV-SOP; the ESV-SOP refers to a mobile energy storage soft switch;

[0010] A lower-level objective function is set based on the lower-level operation resource scheduling model, and a resource scheduling solution structure is formed; the lower-level objective function is used to constrain the DRES to operate normally under the upper-level power grid or ESV-SOP scheduling; the resource scheduling solution structure is used to determine the resource scheduling strategy of the distribution network; the DRES is without a supporting energy storage device;

[0011] According to the resource scheduling solution structure, the ESV-SOP scheduling process and the output power of the dynamic DRES are determined; the ESV-SOP scheduling process refers to the control process of the switch state of each ESV-SOP.

[0012] In one embodiment, constructing the upper-layer mathematical model of the distribution network reconstruction includes:

[0013] Determine the fault line information and form a set of fault lines to be repaired;

[0014] Assigning values to state representation variables of connection node lines through the set of fault lines to be repaired, and determining the fault states of all lines in the distribution network;

[0015] According to the fault status of all lines of the distribution network, the distribution network is modeled according to the branch flow model to obtain a distribution network reconstruction mathematical model;

[0016] Construct a manual repair team model and a contact switch model.

[0017] In one embodiment, setting the upper layer objective function and forming the network reconstruction solution structure includes:

[0018] Establish the upper-level objective function;

[0019] A commercial solver is used to solve the manual repair process and the tie switch operation process to form the network reconstruction solution structure. The network reconstruction solution structure includes: the upper layer objective function, the first constraint condition, and the first decision variable.

[0020] In one embodiment, the lower layer operation resource scheduling model includes: a DRES mathematical model and an improved ESV-SOP mathematical model; wherein,

[0021] The DRES mathematical model is used to determine whether the DRES is affected by the voltage-frequency grid-connected control mode of the ESV-SOP, determine whether the DRES is supported by the voltage and frequency of the main grid, and set output power constraints;

[0022] The improved ESV-SOP mathematical model is used to determine the scheduling feasible region of the ESV-SOP and to set improved working mode switching constraints and working state constraints.

[0023] In one embodiment, determining the ESV-SOP scheduling process and the output power of the dynamic DRES according to the resource scheduling solution structure includes:

[0024] A commercial solver is used to solve the ESV-SOP scheduling process and the output power of the DRES; wherein the resource scheduling solution structure includes: the lower layer objective function, the second constraint condition, and the second decision variable.

[0025] In one embodiment, the method further comprises:

[0026] According to the resource scheduling solution structure, based on the obtained network topology changes, at least one of the following data is determined:

[0027] Working status of DRES;

[0028] Optimal scheduling of ESV-SOP;

[0029] Mode switching sequence of ESV-SOP;

[0030] Power instructions for each period of ESV-SOP;

[0031] The actual load level borne by the system in emergency scenarios.

[0032] In a second aspect, the present application further provides an ESV-SOP energy management and control device, the device comprising:

[0033] An upper-level mathematical model construction module is used to construct an upper-level mathematical model for distribution network reconstruction; wherein the upper-level mathematical model for distribution network reconstruction includes: a distribution network reconstruction mathematical model, a manual repair team model, and a tie switch model; the distribution network reconstruction mathematical model is used to analyze and optimize the distribution network, the manual repair team model is used to perform maintenance scheduling on nodes with faults in the distribution network, and the tie switch model is used to adjust the topology of the distribution network;

[0034] A network reconstruction solution structure forming module is used to set an upper-level objective function based on the distribution network network reconstruction upper-level mathematical model and form a network reconstruction solution structure; the upper-level objective function is used to constrain the load support amount under emergency conditions; the network reconstruction solution structure is to adjust at least one indicator of the distribution network according to changes in the state of at least one switch in the distribution network; the indicator includes: node load;

[0035] A lower-layer operation resource scheduling model construction module is used to construct a lower-layer operation resource scheduling model based on the network reconstruction solution structure; the lower-layer operation resource scheduling model is used to determine the scheduling strategy of the ESV-SOP; the ESV-SOP refers to a mobile energy storage soft switch;

[0036] a resource scheduling solution structure forming module, configured to set a lower-level objective function based on the lower-level operation resource scheduling model and form a resource scheduling solution structure; the lower-level objective function is configured to constrain the DRES to operate normally under the scheduling of the upper power grid or ESV-SOP; the resource scheduling solution structure is configured to determine the resource scheduling strategy of the distribution network; the DRES is configured to be without a supporting energy storage device;

[0037] The determination module is used to determine the ESV-SOP scheduling process and the output power of the dynamic DRES; the ESV-SOP scheduling process refers to the control process of the switching state of each ESV-SOP.

[0038] In a third aspect, the present application further provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0039] Constructing an upper-level mathematical model for distribution network reconstruction; wherein the upper-level mathematical model for distribution network reconstruction includes: a distribution network reconstruction mathematical model, a manual repair team model, and a tie switch model; the distribution network reconstruction mathematical model is used to analyze and optimize the distribution network, the manual repair team model is used to perform maintenance scheduling on nodes with faults in the distribution network, and the tie switch model is used to adjust the topology of the distribution network;

[0040] An upper-level objective function is set based on the upper-level mathematical model of the distribution network reconstruction, and a network reconstruction solution structure is formed; the upper-level objective function is used to constrain the load support amount under the emergency state; the network reconstruction solution structure is to adjust at least one indicator of the distribution network according to the change of at least one switch state in the distribution network; the indicator includes: node load;

[0041] Based on the network reconstruction solution structure, a lower-layer operation resource scheduling model is constructed; the lower-layer operation resource scheduling model is used to determine the scheduling strategy of the ESV-SOP; the ESV-SOP refers to a mobile energy storage soft switch;

[0042] A lower-level objective function is set based on the lower-level operation resource scheduling model, and a resource scheduling solution structure is formed; the lower-level objective function is used to constrain the DRES to operate normally under the upper-level power grid or ESV-SOP scheduling; the resource scheduling solution structure is used to determine the resource scheduling strategy of the distribution network; the DRES is without a supporting energy storage device;

[0043] According to the resource scheduling solution structure, the ESV-SOP scheduling process and the output power of the dynamic DRES are determined; the ESV-SOP scheduling process refers to the control process of the switch state of each ESV-SOP.

[0044] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the following steps are implemented:

[0045] Constructing an upper-level mathematical model for distribution network reconstruction; wherein the upper-level mathematical model for distribution network reconstruction includes: a distribution network reconstruction mathematical model, a manual repair team model, and a tie switch model; the distribution network reconstruction mathematical model is used to analyze and optimize the distribution network, the manual repair team model is used to perform maintenance scheduling on nodes with faults in the distribution network, and the tie switch model is used to adjust the topology of the distribution network;

[0046] An upper-level objective function is set based on the upper-level mathematical model of the distribution network reconstruction, and a network reconstruction solution structure is formed; the upper-level objective function is used to constrain the load support amount under the emergency state; the network reconstruction solution structure is to adjust at least one indicator of the distribution network according to the change of at least one switch state in the distribution network; the indicator includes: node load;

[0047] Based on the network reconstruction solution structure, a lower-layer operation resource scheduling model is constructed; the lower-layer operation resource scheduling model is used to determine the scheduling strategy of the ESV-SOP; the ESV-SOP refers to a mobile energy storage soft switch;

[0048] A lower-level objective function is set based on the lower-level operation resource scheduling model, and a resource scheduling solution structure is formed; the lower-level objective function is used to constrain the DRES to operate normally under the upper-level power grid or ESV-SOP scheduling; the resource scheduling solution structure is used to determine the resource scheduling strategy of the distribution network; the DRES is without a supporting energy storage device;

[0049] According to the resource scheduling solution structure, the ESV-SOP scheduling process and the output power of the dynamic DRES are determined; the ESV-SOP scheduling process refers to the control process of the switch state of each ESV-SOP.

[0050] In a fifth aspect, the present application further provides a computer program product, comprising a computer program, which, when executed by a processor, implements the following steps:

[0051] Constructing an upper-level mathematical model for distribution network reconstruction; wherein the upper-level mathematical model for distribution network reconstruction includes: a distribution network reconstruction mathematical model, a manual repair team model, and a tie switch model; the distribution network reconstruction mathematical model is used to analyze and optimize the distribution network, the manual repair team model is used to perform maintenance scheduling on nodes with faults in the distribution network, and the tie switch model is used to adjust the topology of the distribution network;

[0052] An upper-level objective function is set based on the upper-level mathematical model of the distribution network reconstruction, and a network reconstruction solution structure is formed; the upper-level objective function is used to constrain the load support amount under the emergency state; the network reconstruction solution structure is to adjust at least one indicator of the distribution network according to the change of at least one switch state in the distribution network; the indicator includes: node load;

[0053] Based on the network reconstruction solution structure, a lower-layer operation resource scheduling model is constructed; the lower-layer operation resource scheduling model is used to determine the scheduling strategy of the ESV-SOP; the ESV-SOP refers to a mobile energy storage soft switch;

[0054] A lower-level objective function is set based on the lower-level operation resource scheduling model, and a resource scheduling solution structure is formed; the lower-level objective function is used to constrain the DRES to operate normally under the upper-level power grid or ESV-SOP scheduling; the resource scheduling solution structure is used to determine the resource scheduling strategy of the distribution network; the DRES is without a supporting energy storage device;

[0055] According to the resource scheduling solution structure, the ESV-SOP scheduling process and the output power of the dynamic DRES are determined; the ESV-SOP scheduling process refers to the control process of the switch state of each ESV-SOP.

[0056] The above-mentioned ESV-SOP energy management and control method, device, computer equipment, computer-readable storage medium and computer program product, by constructing an upper-layer mathematical model for distribution network reconstruction; thereby solving the problem of the single existing ESV-SOP grid-connected control method, establishing a mathematical model with two flexible switching modes, and giving full play to the applicability of ESV-SOP for various working scenarios. By setting an upper-layer objective function and forming a network reconstruction solution structure; constructing a lower-layer operation resource scheduling model; setting a lower-layer objective function, and forming a resource scheduling solution structure; thereby making independent calculations between the upper and lower layers, avoiding mutual influence and interaction between coupling variables, and independently solving the network reconstruction process and the optimal scheduling of resources by adopting a double-layer solution structure, the solution speed is improved. According to the resource scheduling solution structure, the output power of the ESV-SOP scheduling process and the dynamic DRES is determined. Thus, the emergency level of the distribution network can be significantly improved, the power supply load can be guaranteed, and the system resilience can be greatly improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following briefly introduces the drawings required for use in the embodiments of the present application or related technical descriptions. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying any creative work.

[0058] Figure 1 A schematic flow chart of an ESV-SOP energy management and control method in one embodiment;

[0059] Figure 2 1 is a flow chart of determining whether a node is supported by voltage and frequency in one embodiment;

[0060] Figure 3 A schematic diagram of an emergency scenario in which six lines are disconnected is provided in one embodiment;

[0061] Figure 4 The photovoltaic predicted output curve and the total load predicted curve selected in one embodiment;

[0062] Figure 5 The following is a comparison chart of the active load that can be supported by the three scenarios in different time periods;

[0063] Figure 6 This is a structural block diagram of an ESV-SOP energy management and control device in one embodiment;

[0064] Figure 7 FIG. 1 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0065] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0066] In an exemplary embodiment, Figure 1 As shown, an ESV-SOP energy management method is provided, which may include the following steps 101 to 105.

[0067] Step 101: construct an upper-layer mathematical model for distribution network reconstruction.

[0068] In this embodiment, network topology changes and the order of emergency repairs can be determined based on distribution network fault scenarios. Then, a higher-level mathematical model for distribution network reconstruction is constructed, using tie switches and manual repair teams as primary decision variables. The higher-level mathematical model for distribution network reconstruction includes a distribution network reconstruction mathematical model, a manual repair team model, and a tie switch model. The distribution network reconstruction mathematical model is used to analyze and optimize the distribution network, the manual repair team model is used to schedule repairs for faulty nodes in the distribution network, and the tie switch model is used to adjust the topology of the distribution network.

[0069] Exemplarily, the fault line information is determined through the distribution network perception system to form a set of fault lines to be repaired; the state representation variables of the connection node lines are assigned values through the set of fault lines to be repaired, and the fault status of all lines in the distribution network is determined; according to the fault status of all lines in the distribution network, the distribution network is modeled according to the branch flow model to obtain a mathematical model for distribution network reconstruction; and a manual repair team model and a connecting switch model are constructed.

[0070] It should be understood that the above embodiment is equivalent to screening the scheduling feasible domain of the manual repair team.

[0071] Alternatively, in power system optimization and dispatching, a branch flow model is generally used to model the distribution network.

[0072] It mainly consists of three parts: tidal equation constraints, safety condition constraints and second-order cone relaxation constraints.

[0073]

[0074] Where, P DRES i,t (Q DRES i,t ), P Load i,t (Q Load i,t ), P Net i,t (Q Net i,t ), P SOP i,t (Q SOP i,t ) represent the active (reactive) power output by DRES at node i in period t, active (reactive) load, energy consumption of this node (active and reactive power obtained from the upper node), active (reactive) power input to node i by ESV-SOP, and active (reactive) power transmitted by the branch, respectively; P ki,t and Q ki,t The power input from the upstream branch of node i to it in time period t (node k is the upstream node of node i); P ij,t and Q ij,t The power input from the downstream branch of node i to it in time period t (node j is the downstream node of node i); I ij,t represents the square of the branch current from node i to node j; r ij and x ij They represent the resistance and reactance of the line respectively, and their values do not change with time.

[0075] Alternatively, when the safety operating condition constraint is essentially to prevent excessive voltage deviation, excessive energy loss, and line transmission power overload, then:

[0076]

[0077] Where V i,t represents the square value of the voltage at node i at time t; the subscripts "min" and "max" represent the lower and upper limits of the value, respectively. ij,t represents the square value of the current of node i and node j at time t, P ij,t It represents the square value of the active power of node i and node j at time t, Q ij,t represents the square value of the reactive power of node i and node j at time t, z ij,t Represents the value of the tie switch between node i and node j at time t.

[0078] Optionally, the second-order cone relaxation constraint means that the second-order cone programming transforms nonlinear constraints such as AC power flow into a solvable form through convex relaxation technology, significantly improving the computational efficiency of power system optimization problems while ensuring global optimality.

[0079]

[0080] In the formula, the symbol “||||2” represents the two-norm calculation.

[0081] Optionally, use the Big M method to achieve network reconstruction:

[0082]

[0083] Where M is an arbitrarily large (not infinite) positive number, ΔV ij,t is the square difference of the voltage between the first node i and the last node j of the line. The object-oriented nature of this constraint includes the on and off of the tie switch.

[0084] Optionally, when the manual repair team moves to the fault line (the branch connecting node i and node j), there is a binary identification variable γ ij,t =1; if it has not moved to the fault line, its value is 0; if there are h manual repair teams, then at most h lines are under repair at time t, then there is a constraint:

[0085]

[0086] Optionally, let variable z switch ij,t Indicates the on / off state of the tie switch. When the tie switch connecting node i and node j is closed, its value is 1, and when it is open, its value is 0. Its physical meaning is the same as that of the variable z ij,t Considering that the tie switch is only used for emergency power supply restoration, its current carrying capacity is often smaller than that of normal lines, so there are constraints:

[0087]

[0088] Where, I switch ij,t Represents the square of the current passing through the tie switch; P switch ij,t Indicates the active power transmitted by the tie switch; Q switch ij,t Represents the reactive power transmitted by the tie switch; I min Indicates the lower limit (minimum) value of the current, I max Indicates the upper limit (maximum) value of the current, P min Indicates the lower limit (minimum) value of active power, P max Indicates the upper limit (maximum) value of active power, Q min Indicates the lower limit (minimum) value of reactive power, Q max Indicates the upper limit (maximum) value of reactive power.

[0089] Step 102: setting an upper-level objective function based on the upper-level mathematical model of the distribution network reconstruction and forming a network reconstruction solution structure.

[0090] Among them, the upper-level objective function is used to constrain the load support capacity under emergency conditions; the network reconstruction solution structure refers to adjusting at least one indicator of the distribution network according to the change of at least one switch state in the distribution network; the indicator includes: the load of the node.

[0091] Exemplarily, an upper-level objective function is established; a commercial solver is used to solve the manual repair process and the interconnection switch operation process to form the network reconstruction solution structure, which includes: the upper-level objective function, the first constraint condition, and the first decision variable; the decision variable value obtained after the solution is sent to the lower layer.

[0092] Among them, line repair is the most critical means to restore the distribution network from a fault state to its original level, and the operation of the tie switch provides protection against the islanding operation of important load nodes. The essential goal of both is to improve the load support capacity in emergency situations. To this end, the upper objective function is set as:

[0093]

[0094] Where, P Load c,t It represents the predicted value of all loads under normal distribution network conditions, P ij Load c,t It represents the predicted value of the load of distribution network node i and node j under normal conditions, and F1 represents the upper objective function.

[0095] Optionally, the output power of distributed resources without energy storage (DRES) and energy-stored vehicles with soft open points (ESV-SOP) is considered to be 0. A commercial solver is used to solve the manual repair process and the tie switch operation process (network topology change process).

[0096] The solution structure includes: upper objective function (Formula 7), constraint conditions (Formula 1 to Formula 6), and main decision variables: P Load ij,t , γ ij,t 、z switch ij,t

[0097] It should be understood that the variables appearing in Formulas 1 to 8 all participate in the decision-making process.

[0098] Step 103: Based on the network reconstruction solution structure, a lower-layer operation resource scheduling model is constructed.

[0099] For example, a dynamic DRES mathematical model is constructed; the DRES mathematical model is used to determine whether the DRES is affected by the voltage-frequency grid-connected control mode of the ESV-SOP, determine whether the DRES is supported by the voltage and frequency of the main grid, and set output power constraints; an improved ESV-SOP mathematical model is established; the improved ESV-SOP mathematical model is used to determine the scheduling feasible domain of the ESV-SOP, and set improved working mode switching constraints and working state constraints. Figure 1 As shown in the figure, the process steps from sensing the distribution network situation to detecting the grid-connected status of ESV-SOP and whether the DRES at the node is supported by voltage and frequency are given.

[0100] In this embodiment, DRES is considered to have no supporting energy storage device. When the node where the DRES is connected to the grid has been split into an island operation, its normal operation requires voltage and frequency support, otherwise it cannot operate. Therefore, the following model is established:

[0101] 1) Determine whether the DRES is controlled by the voltage-frequency grid-connected control mode (Vf control mode for short) of the ESV-SOP. Introduce the normal operation identification variable ζ of the distributed resource m,t , defines that when the distributed power source m connected to the grid meets the working conditions, the value is 1, otherwise it is 0. Further, we have:

[0102]

[0103] Where, ε ki,tIt is an identifier variable that indicates whether ESV-SOP interconnects nodes i and k at time t. It takes the value 1 when interconnection is defined and 0 otherwise. Y represents the main network, Y g Indicates the island g where the distributed resource is located; t represents time. Introduce and define a 0-1 identifier variable to represent the working mode of ESV-SOP. Taking the dual-port ESV-SOP as an example, if the b-th ESV-SOP is connected to the distribution network at time t, then μ b,t =1; otherwise μ b,t =0;μ b,α,t VF 、μ b,β,t VF 、μ b,α,t PQ 、μ b,β,t PQ A value of 1 indicates that the α port and the β port are in "Vf" or "PQ" mode at time t, respectively; otherwise, it is 0.

[0104] 2) Determine whether DRES is supported by the voltage and frequency of the main grid. According to constraint (9), when DRES is in the main grid system, ζ m,t = 1. Combining graph theory, we can see that its equivalent is z ki,t =1, that is, the upstream branch of node i is normal. Therefore, we have:

[0105] ζ m,t =z ki,t (9)

[0106] 3) Output power constraints

[0107] If DRES can work normally, considering its randomness and volatility, there is an output power constraint:

[0108]

[0109] Where, P DRES c,t It represents the predicted output power value of DRES under normal operating conditions at time t.

[0110] Optionally, an improved ESV-SOP mathematical model is established, which mainly includes feasible domain constraints, working state constraints, and mode switching constraints.

[0111] 1) Determine the scheduling feasible domain of ESV-SOP. Consider all distribution network nodes as the feasible domain of ESV-SOP and introduce a T×N time-varying binary variable array J t Definition J t Array element j t,n "Access node position n" is 1 and "Not accessed" is 0. The expression is as follows:

[0112]

[0113] Where T is the set of emergency time periods, t∈T; N is the set of distribution network nodes, n∈N.

[0114] Since each ESV-SOP can only access one fault location, there are feasible region constraints:

[0115] j t,1 +j t,1 +...+j t,N =1 (12)

[0116] 2) Improved operating mode switching constraints. Each port of the ESV-SOP can be controlled in either constant power (PQ control) or voltage-frequency (Vf control) mode.

[0117]

[0118] 3) Working status constraints:

[0119]

[0120] Where, P n,sop and Q n,sop They represent the active power and reactive power outputted by the nth port of ESV-SOP, variables; S N n,sop Indicates the rated apparent power of the nth port, variable; P bat Represents the output power of the energy storage battery, variable; Z represents the set of all ports of a single ESV-SOP; Z dc Indicates the DC-DC port set of the SOP.

[0121] Step 104: Setting the lower-level objective function based on the lower-level operation resource scheduling model and forming a resource scheduling solution structure.

[0122] Among them, the lower-level objective function is used to constrain the normal operation of DRES under the scheduling of the upper power grid or ESV-SOP; the resource scheduling solution structure is used to determine the resource scheduling strategy of the distribution network; the DRES refers to a device without a supporting energy storage device.

[0123] Optionally, the lower layer objective function F2 is set, and the resource scheduling layer makes the DRES operate normally as much as possible under the scheduling of the upper power grid or ESV-SOP, so:

[0124]

[0125] Furthermore, a lower-level resource scheduling solution structure is formed.

[0126] Step 105 : Determine the ESV-SOP scheduling process and the output power of the dynamic DRES according to the resource scheduling solution structure.

[0127] The ESV-SOP scheduling process refers to the process of controlling the on / off status of each ESV-SOP.

[0128] Exemplarily, a commercial solver is used to solve the ESV-SOP scheduling process and the output power of the DRES; wherein the resource scheduling solution structure includes: the lower-level objective function, the second constraint condition, and the second decision variable.

[0129] Based on the network topology given in the upper layer, a commercial solver is used to solve the ESV-SOP scheduling process and DRES output power. Among them, the lower layer objective function is formula (15); the constraints are formulas (1) to (3), (9) to (14); the main decision variable is: ζ m,t 、P DRES i,t 、J t 、μ b,α,t VF 、μ b,β,t VF 、μ b,α,t PQ 、μ b,β,t PQ .

[0130] In addition, at least one of the following data may be determined based on the obtained network topology changes according to the resource scheduling solution structure:

[0131] Working status of DRES;

[0132] Optimal scheduling of ESV-SOP;

[0133] Mode switching sequence of ESV-SOP;

[0134] Power instructions for each period of ESV-SOP;

[0135] The actual load level borne by the system in emergency scenarios.

[0136] In the above-mentioned ESV-SOP energy management and control method, by constructing an upper-layer mathematical model for distribution network reconstruction, the problem of the single grid-connected control mode of the existing ESV-SOP is solved, and a mathematical model with flexible switching of two modes is established, which can give full play to the applicability of ESV-SOP for various working scenarios. By setting the upper-layer objective function and forming a network reconstruction solution structure; constructing a lower-layer operation resource scheduling model; setting the lower-layer objective function, and forming a resource scheduling solution structure; so that the upper and lower layers are calculated independently, avoiding mutual influence and interaction between coupling variables, and independently solving the network reconstruction process and the optimal scheduling of resources by adopting a double-layer solution structure, thereby improving the solution speed. According to the resource scheduling solution structure, the output power of the ESV-SOP scheduling process and the dynamic DRES is determined. Thereby, the emergency level of the distribution network can be significantly improved, the power supply load can be guaranteed, and the system resilience can be greatly improved.

[0137] For example, in order to verify the effectiveness and superiority of the method provided in the embodiment of the present application, three scenarios are set up in this implementation, and are verified on an IEEE33 node network without a contact switch. Scenario 1: Adopting the strategy proposed in the embodiment of the present application, 3 ESV-SOPs are configured to work with the emergency repair team to restore power supply. The proposed ESV-SOP has the ability to flexibly switch between PQ and Vf control modes; Scenario 2: 3 energy storage emergency vehicles (Energy-efficient Emergency Response Vehicle, EE) are configured to work with the emergency repair team to restore power supply. Among them, EE can be composed of energy storage batteries and grid-connected converters, which are unified standards, and its control mode includes PQ and Vf control modes; Scenario 3: Only the emergency repair team restores power supply.

[0138] Table 1

[0139]

[0140] As shown in Table 1, compared to energy storage emergency vehicles, ESV-SOP has the function of multi-point interconnection. It adopts the PQ grid-connected control method at the upstream node and the Vf grid-connected control method at the downstream node to provide stable voltage and frequency for the island, further enabling DRES. It significantly reduces the load loss caused by dispatch time.

[0141] Optionally, Figure 3 This is a schematic diagram of an emergency scenario in which six lines are disconnected, provided in one embodiment. Figure 4 The photovoltaic predicted output curve and the total load predicted curve selected in one embodiment; Figure 5The following is a comparison chart of the active load that can be supported by the three scenarios in different time periods. It can be seen that relying solely on the manual repair team for emergency repairs has a small load supply range and a low recovery speed. In contrast, scenario 1 adopts the strategy provided by the embodiment of this application, which significantly increases the load supply and reduces the economic losses caused by the power outage rate. It also shows that the ESV-SOP provided by the embodiment of this application is better than EE. Comparing Table 1 and Figures 3 to 5 Combined, it can be concluded that compared with scenarios 2 and 3, scenario 1 significantly increases the amount of load that can be supplied, reduces the load loss caused by scheduling time, and thus reduces the economic losses caused by power outages.

[0142] This embodiment solves the problem of the single existing ESV-SOP grid-connected control mode, considers and establishes a mathematical model for the flexible switching of the two control modes, and provides an alternative solution for providing voltage and frequency support for the normal operation of DRES. Based on this, an ESV-SOP energy management and control strategy considering the active networking capability is proposed, and a two-layer optimization solution structure is designed. Finally, a two-layer optimization solution structure for the distribution network system is established using the IEEE33-node distribution network as an example, and a commercial solver is used for solution. The results show that the proposed energy management and control strategy has certain rationality and superiority.

[0143] It should be understood that, although the various steps in the flowcharts involved in the various embodiments described above are displayed in sequence according to the instructions of the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least a portion of the steps in the flowcharts involved in the various embodiments described above can include multiple steps or multiple stages, and these steps or stages are not necessarily executed and completed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a portion of steps or stages in other steps.

[0144] Based on the same inventive concept, the present application embodiment also provides an ESV-SOP energy management and control device for implementing the above-mentioned ESV-SOP energy management and control method. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme described in the above-mentioned method, so the specific limitations in the one or more ESV-SOP energy management and control device embodiments provided below can be found in the above-mentioned limitations on the ESV-SOP energy management and control method, which will not be repeated here.

[0145] In an exemplary embodiment, Figure 6As shown, an ESV-SOP energy management and control device is provided, including: an upper-layer mathematical model construction module 601, a network reconstruction solution structure formation module 602, a lower-layer operation resource scheduling model construction module 603, a resource scheduling solution structure formation module 604 and a determination module 605, wherein:

[0146] An upper-level mathematical model construction module 601 is used to construct an upper-level mathematical model for distribution network reconstruction; wherein the upper-level mathematical model for distribution network reconstruction includes: a distribution network reconstruction mathematical model, a manual repair team model, and a tie switch model; the distribution network reconstruction mathematical model is used to analyze and optimize the distribution network, the manual repair team model is used to perform maintenance and scheduling on nodes with faults in the distribution network, and the tie switch model is used to adjust the topology of the distribution network;

[0147] The network reconstruction solution structure forming module 602 is configured to set an upper-level objective function based on the distribution network reconstruction upper-level mathematical model and form a network reconstruction solution structure; the upper-level objective function is used to constrain the load support capacity under emergency conditions; the network reconstruction solution structure is configured to adjust at least one indicator of the distribution network according to a change in the state of at least one switch in the distribution network; the indicator includes: node load;

[0148] A lower-layer operation resource scheduling model construction module 603 is used to construct a lower-layer operation resource scheduling model based on the network reconstruction solution structure; the lower-layer operation resource scheduling model is used to determine the scheduling strategy of ESV-SOP; ESV-SOP refers to a mobile energy storage soft switch;

[0149] The resource scheduling solution structure forming module 604 is used to set a lower-level objective function based on the lower-level operation resource scheduling model and form a resource scheduling solution structure; the lower-level objective function is used to constrain the dynamic DRES to operate normally under the upper-level power grid or ESV-SOP scheduling; the resource scheduling solution structure is used to determine the resource scheduling strategy of the distribution network; the DRES is without a supporting energy storage device;

[0150] The determination module 605 is used to determine the ESV-SOP scheduling process and the output power of the dynamic DRES; the ESV-SOP scheduling process refers to the control process of the on / off state of each ESV-SOP.

[0151] Exemplarily, the upper-level mathematical model construction module 601 is specifically used to form a set of fault lines to be repaired by determining the fault line information; assign values to state representation variables of the connection node lines through the set of fault lines to be repaired, and determine the fault status of all lines in the distribution network; based on the fault status of all lines in the distribution network, the distribution network is modeled according to the branch flow model to obtain a mathematical model for distribution network reconstruction; and a manual repair team model and a connecting switch model are constructed.

[0152] Exemplarily, the network reconstruction solution structure forming module 602 is specifically used to establish an upper-level objective function; a commercial solver is used to solve the manual repair process and the interconnection switch action process to form the network reconstruction solution structure, and the network reconstruction solution structure includes: the upper-level objective function, the first constraint condition, and the first decision variable.

[0153] Exemplarily, the lower-layer operating resource scheduling model includes a DRES mathematical model and an improved ESV-SOP mathematical model; wherein, the DRES mathematical model is used to determine whether the DRES is affected by the voltage-frequency grid-connected control mode of the ESV-SOP, determine whether the DRES is supported by the voltage and frequency of the main grid, and set output power constraints; establish an improved ESV-SOP mathematical model; the improved ESV-SOP mathematical model is used to determine the scheduling feasible domain of the ESV-SOP, and set improved working mode switching constraints and working state constraints.

[0154] Exemplarily, the determination module 605 is specifically configured to use a commercial solver to solve the ESV-SOP scheduling process and the output power of the DRES; wherein the resource scheduling solution structure includes: the lower-level objective function, the second constraint condition, and the second decision variable.

[0155] Exemplarily, the determining module 605 is further configured to:

[0156] According to the resource scheduling solution structure, based on the obtained network topology changes, at least one of the following data is determined:

[0157] Working status of DRES;

[0158] Optimal scheduling of ESV-SOP;

[0159] Mode switching sequence of ESV-SOP;

[0160] Power instructions for each period of ESV-SOP;

[0161] The actual load level borne by the system in emergency scenarios.

[0162] Each module in the above-mentioned ESV-SOP energy management and control device can be implemented in whole or in part through software, hardware, or a combination thereof. Each of the above modules can be embedded in or independent of the processor in the computer device in hardware form, or can be stored in the memory of the computer device in software form, so that the processor can call and execute the corresponding operations of each of the above modules.

[0163] In an exemplary embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as shown in FIG. Figure 7 As shown. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. Wherein, the processor, the memory and the input / output interface are connected via a system bus, and the communication interface, the display unit and the input device are connected to the system bus via the input / output interface. Wherein, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be realized by WIFI, a mobile cellular network, near field communication (Near Field Communication, NFC) or other technologies. When the computer program is executed by the processor, a method for realizing ESV-SOP energy management and control is realized. The display unit of the computer device is used to form a visually visible picture, which can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device casing, or an external keyboard, touchpad or mouse.

[0164] Those skilled in the art will understand that Figure 7 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0165] In an exemplary embodiment, a computer device is provided, including a memory and a processor. The memory stores a computer program, and the processor implements the steps in the above method embodiments when executing the computer program.

[0166] Constructing an upper-level mathematical model for distribution network reconstruction; wherein the upper-level mathematical model for distribution network reconstruction includes: a distribution network reconstruction mathematical model, a manual repair team model, and a tie switch model; the distribution network reconstruction mathematical model is used to analyze and optimize the distribution network, the manual repair team model is used to perform maintenance scheduling on nodes with faults in the distribution network, and the tie switch model is used to adjust the topology of the distribution network;

[0167] An upper-level objective function is set based on the upper-level mathematical model of the distribution network reconstruction, and a network reconstruction solution structure is formed; the upper-level objective function is used to constrain the load support amount under the emergency state; the network reconstruction solution structure is to adjust at least one indicator of the distribution network according to the change of at least one switch state in the distribution network; the indicator includes: node load;

[0168] Based on the network reconstruction solution structure, a lower-layer operation resource scheduling model is constructed; the lower-layer operation resource scheduling model is used to determine the scheduling strategy of the ESV-SOP; the ESV-SOP refers to a mobile energy storage soft switch;

[0169] A lower-level objective function is set based on the lower-level operation resource scheduling model, and a resource scheduling solution structure is formed; the lower-level objective function is used to constrain the DRES to operate normally under the upper-level power grid or ESV-SOP scheduling; the resource scheduling solution structure is used to determine the resource scheduling strategy of the distribution network; the DRES is without a supporting energy storage device;

[0170] According to the resource scheduling solution structure, the ESV-SOP scheduling process and the output power of the dynamic DRES are determined; the ESV-SOP scheduling process refers to the control process of the switch state of each ESV-SOP.

[0171] In one embodiment, constructing the upper-layer mathematical model of the distribution network reconstruction includes:

[0172] Determine the fault line information and form a set of fault lines to be repaired;

[0173] Assigning values to state representation variables of connection node lines through the set of fault lines to be repaired, and determining the fault states of all lines in the distribution network;

[0174] According to the fault status of all lines of the distribution network, the distribution network is modeled according to the branch flow model to obtain a distribution network reconstruction mathematical model;

[0175] Construct a manual repair team model and a contact switch model.

[0176] In one embodiment, setting the upper layer objective function and forming the network reconstruction solution structure includes:

[0177] Establish the upper-level objective function;

[0178] A commercial solver is used to solve the manual repair process and the tie switch operation process to form the network reconstruction solution structure. The network reconstruction solution structure includes: the upper layer objective function, the first constraint condition, and the first decision variable.

[0179] In one embodiment, the lower layer operation resource scheduling model includes: a DRES mathematical model and an improved ESV-SOP mathematical model; wherein,

[0180] The DRES mathematical model is used to determine whether the DRES is affected by the voltage-frequency grid-connected control mode of the ESV-SOP, determine whether the DRES is supported by the voltage and frequency of the main grid, and set output power constraints;

[0181] The improved ESV-SOP mathematical model is used to determine the scheduling feasible region of the ESV-SOP and to set improved working mode switching constraints and working state constraints.

[0182] In one embodiment, determining the ESV-SOP scheduling process and the output power of the dynamic DRES according to the resource scheduling solution structure includes:

[0183] A commercial solver is used to solve the ESV-SOP scheduling process and the output power of the DRES; wherein the resource scheduling solution structure includes: the lower layer objective function, the second constraint condition, and the second decision variable.

[0184] In one embodiment, the method further comprises:

[0185] According to the resource scheduling solution structure, based on the obtained network topology changes, at least one of the following data is determined:

[0186] Working status of DRES;

[0187] Optimal scheduling of ESV-SOP;

[0188] Mode switching sequence of ESV-SOP;

[0189] Power instructions for each period of ESV-SOP;

[0190] The actual load level borne by the system in emergency scenarios.

[0191] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0192] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0193] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0194] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, database or other media used in the embodiments provided in this application may include at least one of non-volatile memory and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory may include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, distributed databases based on blockchains. The processor involved in the various embodiments provided herein may be, but are not limited to, a general-purpose processor, a central processing unit (CPU), a graphics processing unit (GPU), a digital signal processor (DSP), a programmable logic unit (PLC), a data processing logic unit based on quantum computing, an artificial intelligence (AI) processor, and the like.

[0195] The technical features of the above embodiments can be combined arbitrarily. In order to make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0196] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present application. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present application, and these modifications and improvements fall within the scope of protection of the present application. Therefore, the scope of protection of the present application shall be determined by the appended claims.

Claims

1. An ESV-SOP energy management and control method, characterized in that: The method comprises: Constructing an upper-level mathematical model for distribution network reconstruction; wherein the upper-level mathematical model for distribution network reconstruction includes: a distribution network reconstruction mathematical model, a manual repair team model, and a tie switch model; the distribution network reconstruction mathematical model is used to analyze and optimize the distribution network, the manual repair team model is used to perform maintenance scheduling on nodes with faults in the distribution network, and the tie switch model is used to adjust the topology of the distribution network; An upper-level objective function is set based on the upper-level mathematical model of the distribution network reconstruction, and a network reconstruction solution structure is formed; the upper-level objective function is used to constrain the load support amount under the emergency state; the network reconstruction solution structure is to adjust at least one indicator of the distribution network according to the change of at least one switch state in the distribution network; the indicator includes: node load; Based on the network reconstruction solution structure, a lower-layer operation resource scheduling model is constructed; the lower-layer operation resource scheduling model is used to determine the scheduling strategy of the ESV-SOP; the ESV-SOP refers to a mobile energy storage soft switch; A lower-level objective function is set based on the lower-level operation resource scheduling model, and a resource scheduling solution structure is formed; the lower-level objective function is used to constrain the DRES to operate normally under the upper-level power grid or ESV-SOP scheduling; the resource scheduling solution structure is used to determine the resource scheduling strategy of the distribution network; the DRES is without a supporting energy storage device; According to the resource scheduling solution structure, the ESV-SOP scheduling process and the output power of the DRES are determined; the ESV-SOP scheduling process refers to the control process of the switch state of each ESV-SOP.

2. The method according to claim 1, characterized in that The construction of the upper-layer mathematical model of the distribution network reconstruction includes: Determine the fault line information and form a set of fault lines to be repaired; Assigning values to state representation variables of connection node lines through the set of fault lines to be repaired, and determining the fault states of all lines in the distribution network; According to the fault status of all lines of the distribution network, the distribution network is modeled according to the branch flow model to obtain a distribution network reconstruction mathematical model; Construct a manual repair team model and a contact switch model.

3. The method according to claim 1, characterized in that The setting of the upper layer objective function and forming the network reconstruction solution structure include: Establish the upper-level objective function; A commercial solver is used to solve the manual repair process and the tie switch operation process to form the network reconstruction solution structure. The network reconstruction solution structure includes: the upper layer objective function, the first constraint condition, and the first decision variable.

4. The method according to claim 1, wherein The lower layer operation resource scheduling model includes: DRES mathematical model and improved ESV-SOP mathematical model; wherein, The DRES mathematical model is used to determine whether the DRES is affected by the voltage-frequency grid-connected control mode of the ESV-SOP, determine whether the DRES is supported by the voltage and frequency of the main grid, and set output power constraints; The improved ESV-SOP mathematical model is used to determine the scheduling feasible region of the ESV-SOP and to set improved working mode switching constraints and working state constraints.

5. The method according to any one of claims 1 to 4, characterized in that Determining the ESV-SOP scheduling process and the output power of the dynamic DRES according to the resource scheduling solution structure includes: A commercial solver is used to solve the ESV-SOP scheduling process and the output power of the DRES; wherein the resource scheduling solution structure includes: the lower layer objective function, the second constraint condition, and the second decision variable.

6. The method according to any one of claims 1 to 4, characterized in that The method further comprises: According to the resource scheduling solution structure, based on the obtained network topology changes, at least one of the following data is determined: Working status of DRES; Optimal scheduling of ESV-SOP; Mode switching sequence of ESV-SOP; Power instructions for each period of ESV-SOP; The actual load level borne by the system in emergency scenarios.

7. An ESV-SOP energy management and control device, characterized in that: The device comprises: An upper-level mathematical model construction module is used to construct an upper-level mathematical model for distribution network reconstruction; wherein, the upper-level mathematical model for distribution network reconstruction includes: a distribution network reconstruction mathematical model, a manual repair team model, and a connecting switch model; the distribution network reconstruction mathematical model is used to analyze and optimize the distribution network, the manual repair team model is used to perform maintenance and scheduling on nodes with faults in the distribution network, and the connecting switch model is used to adjust the topology of the distribution network; a network reconstruction solution structure formation module is used to set an upper-level objective function based on the distribution network reconstruction upper-level mathematical model and form a network reconstruction solution structure; the upper-level objective function is used to constrain the load support amount under emergency conditions; the network reconstruction solution structure refers to adjusting at least one indicator of the distribution network according to changes in at least one switch state in the distribution network; the indicator includes: node load; A lower-layer operation resource scheduling model construction module is used to construct a lower-layer operation resource scheduling model based on the network reconstruction solution structure; the lower-layer operation resource scheduling model is used to determine the scheduling strategy of the ESV-SOP; the ESV-SOP refers to a mobile energy storage soft switch; A resource scheduling solution structure forming module is used to set a lower-level objective function based on the lower-level operation resource scheduling model and form a resource scheduling solution structure; the lower-level objective function is used to constrain the dynamic DRES to operate normally under the upper-level power grid or ESV-SOP scheduling; the resource scheduling solution structure is used to determine the resource scheduling strategy of the distribution network; The determination module is used to determine the ESV-SOP scheduling process and the output power of the dynamic DRES; the ESV-SOP scheduling process refers to the control process of the switching state of each ESV-SOP.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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