State grid province multi-level cooperative scheduling operation solving method and system based on ADMM

Abstract

The invention relates to the technical field of power grid collaborative optimization, in particular to a state-grid-provincial multi-level collaborative scheduling operation solving method and system based on ADMM, and the method comprises the following steps: constructing a multi-level collaborative balance model comprising a state scheduling level, a grid scheduling level and a provincial scheduling level based on an equivalent aggregation theory; setting a consistency constraint of the transmission quantity and the response quantity of each level, and introducing a primary penalty term and a secondary penalty term of the consistency constraint into a target function of a national scheduling level and a network scheduling level to obtain a multi-level collaborative scheduling optimization model; and performing hierarchical decoupling solution on the optimized multi-level collaborative scheduling optimization model by using an alternating direction multiplier method to obtain an operation scheme of each level. Layered decoupling solution is carried out on the national-network-provincial three-level collaborative scheduling optimization model while variable transmission is carried out, so that the effectiveness of model equivalence and the convergence of solution can be ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of grid collaborative optimization, and more specifically, to a method and system for solving the multi-level collaborative scheduling operation of the State Grid Province based on ADMM. Background Art

[0002] The collaborative optimization problem of the state, grid, and province is a large-scale grid collaborative optimization problem with a large spatial scale, many operating nodes, and a complex connection mode. It is technically difficult to adopt a completely centralized operation mode, while distributed optimization allows each operator to interact with the transmission plan quantity or price information of the tie line to achieve overall supply and demand balance without disclosing its internal power generation, load, and network information. Therefore, it is widely used in multi-level collaborative scheduling scenarios.

[0003] The existing power system scheduling optimization mainly constructs single-layer / double-layer models from the perspectives of cross-provincial and national sub-provincial to carry out scheduling optimization research, which does not conform to the actual situation of the current three-level collaborative scheduling of the state, grid, and province. The three-level collaborative scheduling optimization problem of the state-grid-province is a large-scale and highly complex problem. It is technically infeasible to adopt a completely centralized solution method, and there is a problem that the convergence cannot be guaranteed when using mixed integer linear programming to solve the optimization problems of each subsystem in parallel.

[0004] Based on this, there is an urgent need for a method for solving the multi-level collaborative scheduling operation of the State Grid Province to fill the research gap in the current research on the multi-level collaborative scheduling optimization solution method of the state-grid-province. Summary of the Invention

[0005] The purpose of the present invention is to provide a method and system for solving the multi-level collaborative scheduling operation of the State Grid Province based on ADMM. By constructing consistency constraints for the two levels of the state-grid and the two levels of the grid-province respectively, and introducing the first penalty term and the second penalty term of the consistency constraint into the objective functions of the state dispatch level and the grid dispatch level, the multi-level collaborative scheduling optimization is relaxed, and the three-level collaborative scheduling optimization model of the state-grid-province is solved by layer decoupling while the variables are transmitted, which can ensure the effectiveness of the model equivalence and the convergence of the solution, so as to solve the technical problems pointed out in the background art.

[0006] The present invention is realized through the following technical solutions: A method for solving the multi-level collaborative scheduling operation of the State Grid Province based on ADMM includes the following steps:

[0007] Construct a multi-level collaborative balance model including the state dispatch level, the grid dispatch level, and the provincial dispatch level based on the equivalent aggregation theory;

[0008] Set the consistency constraints of the transmission quantity and the response quantity at each level, and introduce the first penalty term and the second penalty term of the consistency constraint into the objective functions of the state dispatch level and the grid dispatch level of the multi-level collaborative balance model to obtain a multi-level collaborative scheduling optimization model;

[0009] The alternating direction method of multipliers is used to hierarchically decouple and solve the multi-level collaborative scheduling optimization model to obtain the operation plans for each level.

[0010] According to a preferred embodiment, the specific process of hierarchically decoupling and solving the multi-level collaborative scheduling model by using the alternating direction method of multipliers is as follows:

[0011] Step S1: Initialize the grid dispatching resources and the pre-plans of inter-provincial tie lines, the national dispatching resources and the pre-plans of inter-region tie lines;

[0012] Step S2: The provincial dispatching level adjusts the boundary according to the pre-plan transmitted by the grid dispatching level, performs pre-balancing at the provincial dispatching level by coordinating provincial dispatching resources, calculates the provincial net load and generates the pre-plan of provincial dispatching resources. After equalizing the provincial net load to a single or multiple provincial node loads, the provincial node loads are transmitted to the grid dispatching level for equivalent aggregation;

[0013] Step S3: The grid dispatching level adjusts the boundary according to the pre-plan transmitted by the national dispatching level, performs pre-balancing at the grid dispatching level by coordinating grid dispatching resources based on each of the provincial node loads, calculates the total grid net load and generates the pre-plan of grid dispatching resources and inter-provincial tie lines, and transmits the pre-plan of grid dispatching resources and inter-provincial tie lines to the provincial dispatching to update the provincial dispatching boundary, and transmits the total grid net load to the national dispatching level for equivalent update;

[0014] Step S4: The national dispatching level coordinates the national dispatching resources based on the provincial node loads and the total grid net load to perform national dispatching level balancing, generates the pre-plan of national dispatching resources and inter-region tie lines, and transmits the pre-plan of national dispatching resources and inter-region tie lines to the grid dispatching to update the grid dispatching boundary;

[0015] Step S5: Determine whether the convergence criterion is satisfied. If not, transmit the updated provincial node loads to the provincial dispatching level and transmit the updated total grid net load to the grid dispatching level for equivalence;

[0016] If so, go to Step S6;

[0017] Step S6: Obtain the operation plans for each level.

[0018] According to a preferred embodiment, before the said Step S6, it further includes that when the convergence criterion is satisfied, a security check is performed. If the security check fails, the corresponding pre-plan of grid dispatching resources and inter-provincial tie lines, and the pre-plan of national dispatching resources and inter-region tie lines are modified, and then go to Step S1.

[0019] According to a preferred embodiment, the expression of the pre-balancing at the provincial dispatching level is as follows:

[0020]

[0021] In the above formula, represents the provincial dispatching resource pre - plan at time t, represents the total load of the provincial dispatching at time t, represents the load gap / margin of the provincial dispatching at time t;

[0022] The expression for pre - balancing at the network dispatching level is as follows:

[0023]

[0024] In the above formula, represents the network dispatching resource pre - plan at time t, represents the total net load of the network dispatching at time t, represents the load gap / margin of the network dispatching at time t;

[0025] The expression for balancing at the national dispatching level is as follows:

[0026]

[0027] In the above formula, represents the national dispatching resource pre - plan at time t, represents the total net load of the whole network at time t, represents the load relaxation margin for the national dispatching to conduct overall network balancing.

[0028] According to a preferred implementation manner, the consistency constraint includes the two - level consistency constraint between the network and the province and the two - level consistency constraint of the State Grid;

[0029] Among them, the expression for the two - level consistency constraint between the network and the province is as follows:

[0030]

[0031] In the above formula, represents the total response amount of the network dispatching coordinated resources, represents the transmission direction of the inter - provincial tie line at time t, represents the transmission amount of the inter - provincial tie line transmitted through the provincial region at time t;

[0032] The expression for the two - level consistency constraint of the State Grid is as follows:

[0033]

[0034] In the above formula, represents the total response amount of the national dispatching coordinated resources, represents the transmission direction of the inter - regional tie line at time t, represents the transmission amount of the inter - regional tie line transmitted through the region at time t.

[0035] According to a preferred embodiment, after introducing the first penalty term and the second penalty term of the consistency constraint into the objective function at the national dispatching level, the optimization at the national dispatching level and the optimization at the regional dispatching level are obtained. Among them, the expression of the optimization at the national dispatching level is as follows:

[0036]

[0037] In the above formula, F1 represents the original objective function at the national dispatching level, T represents the time range, represents the first penalty term coefficient of the augmented Lagrangian at the k-th update of the national dispatching level, represents the second penalty term coefficient of the augmented Lagrangian at the k-th update of the national dispatching level;

[0038] The expression of the optimization at the regional dispatching level is as follows:

[0039]

[0040] In the above formula, F2 represents the original objective function at the regional dispatching level, represents the first penalty term coefficient of the augmented Lagrangian at the k-th update of the regional dispatching level, represents the second penalty term coefficient of the augmented Lagrangian at the k-th update of the regional dispatching level.

[0041] According to a preferred embodiment, the method further includes setting the update step size of the first penalty term coefficient at the national dispatching level to The expression is as follows:

[0042]

[0043] In the above formula, represents the first penalty term coefficient of the augmented Lagrangian at the (k + 1)-th update of the national dispatching level, represents the second penalty term coefficient of the augmented Lagrangian at the (k + 1)-th update of the national dispatching level, α Nat represents the penalty term update constant of the Lagrangian second penalty term at the national dispatching level, and its value is in the range of [0, 1];

[0044] Set the update step size of the first penalty term coefficient at the regional dispatching level to The expression is as follows:

[0045]

[0046] In the above formula, represents the first penalty term coefficient of the augmented Lagrangian at the (k + 1)-th update of the regional dispatching level, represents the second penalty term coefficient of the augmented Lagrangian at the (k + 1)-th update of the regional dispatching level, α Reg represents the penalty term update constant of the Lagrangian second penalty term at the regional dispatching level, and its value is in the range of [0, 1].

[0047] According to a preferred embodiment, during the process of hierarchically decoupling and solving the optimized multi-level collaborative scheduling model by using the alternating direction method of multipliers, the convergence criterion is set as:

[0048]

[0049] In the above formula, ε represents the convergence accuracy of the hierarchical transmission variable.

[0050] The present invention also provides a multi-level collaborative scheduling operation solution system for the state grid province based on ADMM, which uses the method as described above and includes:

[0051] A construction module, which constructs a multi-level collaborative balance model including the national dispatching level, the network dispatching level and the provincial dispatching level based on the equivalent aggregation theory;

[0052] An update module, which is used to set the consistency constraints of the transmission volume and response volume at each level, and introduce the first penalty term and the second penalty term of the consistency constraints into the objective functions of the national dispatching level and the network dispatching level of the multi-level collaborative balance model to obtain a multi-level collaborative scheduling optimization model;

[0053] A solution module, which is used to hierarchically decouple and solve the multi-level collaborative scheduling optimization model by using the alternating direction method of multipliers to obtain the operation plans at each level.

[0054] According to a preferred embodiment, in the multi-level collaborative scheduling optimization model, the provincial dispatching level is configured to adjust the boundary of the pre-plan transmitted by the network dispatching level, pre-balance at the provincial dispatching level by coordinating provincial dispatching resources, calculate the provincial net load and generate a pre-plan for provincial dispatching resources. After equating the provincial net load to a single or multiple provincial node loads, the provincial node load is transmitted to the network dispatching level to achieve equivalent aggregation;

[0055] The network dispatching level is configured to adjust the boundary of the pre-plan transmitted by the national dispatching level, pre-balance at the network dispatching level based on each provincial node load by coordinating network dispatching resources, calculate the total network dispatching net load and generate a pre-plan for network dispatching resources and inter-provincial tie lines, and transmit the pre-plan for network dispatching resources and inter-provincial tie lines to the provincial dispatching to update the provincial dispatching boundary, and transmit the total network dispatching net load to the national dispatching level to achieve equivalent update;

[0056] The national dispatching level is configured to balance at the national dispatching level by coordinating national dispatching resources based on the provincial node load and the total network dispatching net load, generate a pre-plan for national dispatching resources and inter-regional tie lines, and transmit the pre-plan for national dispatching resources and inter-regional tie lines to the network dispatching to update the network dispatching boundary.

[0057] The technical solution of a multi - level collaborative dispatching operation solving method and system for State Grid provinces based on ADMM provided by the present invention has at least the following advantages and beneficial effects: By constructing consistency constraints for the national - grid two - level and grid - province two - level respectively, and introducing the first - order penalty term and second - order penalty term of the consistency constraint into the objective functions of the national dispatching level and grid dispatching level in the multi - level collaborative balance model, a multi - level collaborative dispatching optimization model is obtained, realizing the hierarchical decoupled solution while the variables are transmitted in the national - grid - province three - level collaborative dispatching optimization model, and ensuring the effectiveness of model equivalence and the convergence of solution. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Figure 1 It is a schematic diagram of the overall process of the multi - level collaborative dispatching operation solving method for State Grid provinces based on ADMM provided in Embodiment 1 of the present invention;

[0059] Figure 2 It is a schematic diagram of the national - grid - province multi - level collaborative dispatching process provided in Embodiment 1 of the present invention;

[0060] Figure 3 It is a schematic diagram of the process of hierarchical decoupled solution provided in Embodiment 1 of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0061] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. Usually, the components of the embodiments of the present invention described and shown in the accompanying drawings here can be arranged and designed in various different configurations.

[0062] Embodiment 1

[0063] The embodiment of the present invention provides a multi - level collaborative dispatching operation solving method for State Grid provinces based on ADMM. Starting from two dimensions of the system framework and optimization algorithm, as shown in Figure 1 shown,

[0064] This multi - level collaborative dispatching operation solving method for State Grid provinces is divided into three steps, which are described separately as follows:

[0065] Step 1: National - grid - province multi - level collaborative equivalent aggregation;

[0066] In this embodiment, the equivalent aggregation theory is introduced into the multi - level collaborative balance model participated by the national dispatching level, grid dispatching level, and provincial dispatching level, a multi - level collaborative balance model based on equivalent aggregation is established, and a solution framework for the national - grid - province multi - level collaborative balance model is formed, as shown in Figure 2As shown, it is a schematic diagram showing the multi-level collaborative dispatching process of the power system, involving three levels: provincial dispatching, network dispatching, and national dispatching.

[0067] Among them, based on the pre-planned adjustment boundary transmitted by the network dispatching level, the provincial dispatching level conducts pre-balancing at the provincial dispatching level by coordinating provincial dispatching resources such as directly dispatched units of the provincial dispatching, independent energy storage of the provincial dispatching, and pumped storage power stations of the provincial dispatching. Under the condition of meeting the provincial balance constraint, it generates the provincial net load and the pre-plan of provincial dispatching resources, and equalizes the provincial net load to a single or multiple provincial node loads, transmits the provincial node loads to the network dispatching level for equivalent aggregation, and transmits the provincial node loads to the national dispatching level for equivalent update.

[0068] Among them, the pre-balancing at the provincial dispatching level means that the pre-plan of provincial dispatching resources is equal to the sum of the total provincial dispatching load and the load gap / margin, and the expression is as follows:

[0069]

[0070] In the above formula, represents the pre-plan of provincial dispatching resources at time t, represents the total provincial dispatching load at time t, represents the load gap / margin of the provincial dispatching at time t.

[0071] Based on the pre-planned adjustment boundary transmitted by the national dispatching level, the network dispatching level coordinates network dispatching resources such as directly dispatched units of the network dispatching, independent energy storage of the network dispatching, inter-provincial tie lines, and pumped storage power stations of the network dispatching based on the provincial node loads. Under the condition of meeting the inter-provincial tie line constraint, it conducts pre-balancing at the network dispatching level, generates the pre-plan of network dispatching resources and inter-provincial tie lines, and transmits the pre-plan of network dispatching resources and inter-provincial tie lines to the provincial dispatching for the provincial dispatching level to update the boundary, and transmits the total network net load to the national dispatching level for equivalent update.

[0072] Among them, the pre-balancing at the network dispatching level means that the pre-plan of network dispatching resources is equal to the sum of the total network net load and the network load gap / margin, and the expression is as follows:

[0073]

[0074] In the above formula, represents the pre-plan of network dispatching resources at time t, represents the total network net load at time t, represents the load gap / margin of the network dispatching at time t.

[0075] Based on the provincial node loads after equivalent update, the national dispatching level coordinates national dispatching resources such as directly dispatched units of the national dispatching and inter-region tie lines. Under the condition of meeting the inter-region tie line constraint, it conducts balancing at the national dispatching level, generates the pre-plan of national dispatching resources and inter-region tie lines, and transmits the pre-plan of national dispatching resources and inter-region tie lines to the network dispatching for the network dispatching level to update the boundary.

[0076] Among them, the balance at the national dispatching level means that the pre-planned national dispatching resources are equal to the sum of the total net load of the whole network and the load relaxation margin of the whole network. The expression is as follows:

[0077]

[0078] In the above formula, represents the pre-planned national dispatching resources at time t, represents the total net load of the whole network at time t, represents the load relaxation margin for the national dispatching to conduct overall balance of the whole network.

[0079] It should be noted that there are respective boundaries between the provincial dispatching level and the network dispatching level, and between the network dispatching level and the national dispatching level, and they are independent of each other. However, the two are also connected through a certain specific coupling relationship, which can be a physical constraint or a mathematical connection. There will be no further elaboration on this here.

[0080] Specifically, through pre-balancing, equivalent aggregation, and boundary update at each level, this multi-level collaborative dispatching process can improve dispatching efficiency, optimize resource allocation, enhance system stability, and promote information sharing and collaboration.

[0081] Step 2: Update the objective functions of the national dispatching level and the network dispatching level;

[0082] Set the consistency constraints for the transmission volume and response volume at each level. In this embodiment, the consistency constraints include the consistency constraints between the network and provincial levels and the consistency constraints between the two levels of the State Grid.

[0083] It should be noted that by setting the consistency constraints for the transmission volume and response volume at each level, it can ensure that the power transmission and resource response between different levels such as the national dispatching, network dispatching, and provincial dispatching match each other, avoid conflicts between levels, and ensure the overall coordinated operation of the power system.

[0084] Among them, the consistency constraint between the network and provincial levels means that the total response volume of the network dispatching coordinated resources is equal to the load gap / margin of the provincial dispatching. The expression is as follows:

[0085]

[0086] In the above formula, represents the total response volume of the network dispatching coordinated resources, represents the transmission direction of the inter-provincial tie line at time t, represents the transmission volume of the inter-provincial tie line transmitted through the provincial region at time t.

[0087] The consistency constraint between the two levels of the State Grid means that the total response volume of the national dispatching coordinated resources is equal to the load gap / margin of the network dispatching. The expression is as follows:

[0088]

[0089] In the above formula, represents the total response volume of the national dispatching coordinated resources, represents the transmission direction of the inter-regional tie line at time t, represents the transmission volume of the inter-regional tie line transmitted through the region at time t.

[0090] Furthermore, a first penalty term and a second penalty term of the consistency constraint are introduced into the objective functions of the national dispatching level and the network dispatching level in the multi-level collaborative balancing model respectively, and a multi-level collaborative dispatching optimization model is obtained.

[0091] It should be noted that by introducing the first penalty term and the second penalty term of the consistency constraint into the objective function to punish the situations that do not satisfy the consistency constraint, the dispatching scheme can be guided to optimize in the direction of meeting the constraint conditions, making the dispatching result more reasonable; and in the obtained multi-level collaborative dispatching optimization model, the two originally coupled optimization problems can be considered as independent uncoupled optimization problems respectively.

[0092] In this embodiment, after introducing the first penalty term and the second penalty term of the consistency constraint into the objective function of the national dispatching level, the national dispatching level optimization and the network dispatching level optimization are obtained. Among them, the expression of the national dispatching level optimization is as follows:

[0093]

[0094] In the above formula, F1 represents the original national dispatching level objective function, T represents the time range, represents the first penalty term coefficient of the augmented Lagrangian at the k-th update of the national dispatching level, represents the second penalty term coefficient of the augmented Lagrangian at the k-th update of the national dispatching level.

[0095] The expression of the network dispatching level optimization is as follows:

[0096]

[0097] In the above formula, F2 represents the original network dispatching level objective function, represents the first penalty term coefficient of the augmented Lagrangian at the k-th update of the network dispatching level, represents the second penalty term coefficient of the augmented Lagrangian at the k-th update of the network dispatching level.

[0098] It should be noted that after the two objective functions min F1 and min F2 that can be independently solved are determined, the national dispatching level and the network dispatching level start to perform optimization operations successively. The previous cycle and the next cycle are connected end to end, iterating back and forth, and a certain rule is set to continuously update the penalty term before meeting the convergence requirement until the optimization reaches the pre-set convergence accuracy. For details, please refer to Step 3, which will not be elaborated here.

[0099] Step 3: Hierarchical decoupled solution;

[0100] In this embodiment, the Alternating Direction Method of Multipliers (ADMM) is used to perform hierarchical decoupled solution on the multi-level coordinated dispatching model to obtain the operation plans of each level. Refer to Figure 3 As shown, it is a schematic flow diagram of hierarchical decoupled solution, and the specific process is as follows:

[0101] Step S1: Initialize the network dispatching resources and the pre-plans of inter-provincial tie lines, the national dispatching resources and the pre-plans of inter-regional tie lines.

[0102] Step S2: The provincial dispatching level adjusts the boundary according to the pre-plan transmitted by the network dispatching level, coordinates the provincial dispatching resources, and performs pre-balancing at the provincial dispatching level under the condition of meeting the provincial balance constraint, calculates the provincial net load and generates the pre-plan of provincial dispatching resources. After equating the provincial net load to the load of a single or multiple provincial nodes, the load of the provincial nodes is transmitted to the network dispatching level for equivalence.

[0103] Step S3: The network dispatching level adjusts the boundary according to the pre-plan transmitted by the national dispatching level, coordinates the network dispatching resources based on the load of each provincial node, and considers the line / section power flow situation of each province to perform equivalence of the load of a single / multiple provincial nodes Under the condition of meeting the inter-provincial tie line constraint, perform pre-balancing at the network dispatching level, calculate the total net load of the network dispatching and generate the pre-plan of network dispatching resources and inter-provincial tie lines, and transmit the pre-plan of network dispatching resources and inter-provincial tie lines to the provincial dispatching to update the provincial boundary, and transmit the total net load of the network dispatching to the national dispatching level for equivalence.

[0104] Step S4: The national dispatching level coordinates the national dispatching resources based on the load of provincial nodes the total net load of the network dispatching Considering the load relaxation margin, perform balancing at the national dispatching level under the condition of meeting the inter-regional tie line constraint, generate the pre-plan of national dispatching resources and inter-regional tie lines, and transmit the pre-plan of national dispatching resources and inter-regional tie lines to the network dispatching to update the network dispatching boundary.

[0105] Step S5: Determine whether the convergence criterion is met. If the convergence criterion is not met, transfer the updated provincial node load to the provincial dispatching level and transfer the updated total net load of the grid dispatching to the grid dispatching level to achieve equivalence.

[0106] If the convergence criterion is met, go to Step S6.

[0107] In this embodiment, the convergence criterion is set as:

[0108]

[0109] In the above formula, ε represents the convergence accuracy of the hierarchical transmission variable.

[0110] Step S6: Conduct a security check. If the security check fails, modify the corresponding pre-plans of grid dispatching resources and inter-provincial tie lines, and pre-plans of national dispatching resources and inter-regional tie lines, and go to Step S1. If it passes, go to Step S7.

[0111] Step S7: Obtain the operation plans at each level.

[0112] It should be noted that due to the quadratic penalty term property of the augmented Lagrangian, this method has good convergence in practical applications. In addition, restricted by the consistency constraint, the optimal solutions finally obtained at the national dispatching level, grid dispatching level, and provincial dispatching level are That is, the feasible solution of the original problem can be converged.

[0113] In addition, in this embodiment, the update step size of the primary penalty term coefficient at the national dispatching level is set as The expression is as follows:

[0114]

[0115] In the above formula, represents the primary penalty term coefficient of the augmented Lagrangian at the (k + 1)-th update of the national dispatching level, represents the secondary penalty term coefficient of the augmented Lagrangian at the (k + 1)-th update of the national dispatching level, and α Nat represents the penalty term update constant of the Lagrangian secondary penalty term at the national dispatching level, and its value is in the range of [0, 1].

[0116] The update step size of the primary penalty term coefficient at the grid dispatching level is set as The expression is as follows:

[0117]

[0118] In the above formula, represents the primary penalty term coefficient of the augmented Lagrangian at the (k + 1)-th update of the grid dispatching level, represents the secondary penalty term coefficient of the augmented Lagrangian at the (k + 1)-th update of the grid dispatching level, and α RegIt represents the penalty update constant of the Lagrangian quadratic penalty term at the network dispatching level, and its value ranges from [0, 1].

[0119] Specifically, the present invention constructs consistency constraints for the national-grid two levels and the network-province two levels respectively, introduces the first penalty term and the second penalty term of the consistency constraint into the objective functions at the national dispatching level and the network dispatching level respectively, relaxes the multi-level collaborative dispatching optimization, and realizes the hierarchical decoupled solution of the national-grid-province three-level collaborative dispatching optimization model while transmitting variables, which can ensure the effectiveness of the model equivalence and the convergence of the solution.

[0120] Embodiment 2

[0121] Based on the technical solution provided in Embodiment 1, this embodiment provides a national-grid-province multi-level collaborative dispatching operation solution system based on ADMM. This system uses the method as in Embodiment 1, including a construction module, an update module, and a solution module;

[0122] Among them, the construction module is used to construct a multi-level collaborative balance model including the national dispatching level, the network dispatching level, and the provincial dispatching level based on the equivalent aggregation theory; the update module is used to set the consistency constraints of the transmission volume and the response volume at each level, and introduce the first penalty term and the second penalty term of the consistency constraint into the objective functions of the national dispatching level and the network dispatching level of the multi-level collaborative balance model to obtain a multi-level collaborative dispatching optimization model; the solution module is used to perform hierarchical decoupled solution on the multi-level collaborative dispatching optimization model by using the alternating direction multiplier method to obtain the operation plan of each level.

[0123] In addition, in the multi-level collaborative dispatching optimization model, the provincial dispatching level is configured to adjust the boundary according to the pre-plan transmitted by the network dispatching level, perform pre-balancing at the provincial dispatching level by coordinating provincial dispatching resources, calculate the provincial net load and generate a provincial dispatching resource pre-plan. After equating the provincial net load to a single or multiple provincial node loads, the provincial node loads are transmitted to the network dispatching level to achieve equivalent aggregation; the network dispatching level is configured to adjust the boundary according to the pre-plan transmitted by the national dispatching level, perform pre-balancing at the network dispatching level based on each provincial node load by coordinating network dispatching resources, calculate the total network net load and generate a network dispatching resource and inter-provincial tie-line pre-plan, and transmit the network dispatching resource and inter-provincial tie-line pre-plan to the provincial dispatching level to update the provincial dispatching boundary, and transmit the total network net load to the national dispatching level to achieve equivalent update; the national dispatching level is configured to balance at the national dispatching level by coordinating national dispatching resources based on the provincial node load and the total network net load, generate a national dispatching resource and inter-regional tie-line pre-plan, and transmit the national dispatching resource and inter-regional tie-line pre-plan to the network dispatching level to update the network dispatching boundary.

[0124] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention can have various modifications and changes. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A method for solving the multi-level collaborative dispatching operation of provincial power grids of State Grid based on ADMM, characterized in that It includes the following steps: Construct a multi-level collaborative balance model including the national dispatching level, regional dispatching level, and provincial dispatching level based on the equivalent aggregation theory; Set the consistency constraints for the transmission volume and response volume at each level, and introduce the first penalty term and second penalty term of the consistency constraints into the objective functions of the national dispatching level and regional dispatching level of the multi-level collaborative balance model to obtain a multi-level collaborative scheduling optimization model; Use the alternating direction multiplier method to perform hierarchical decoupling solution on the multi-level collaborative scheduling optimization model to obtain the operation plans for each level.

2. The ADMM-based multi-level collaborative dispatching operation solution method for provincial power grids of State Grid as described in claim 1, wherein, The specific process of using the alternating direction multiplier method to perform hierarchical decoupling solution on the multi-level collaborative scheduling model is as follows: Step S1: Initialize the regional dispatching resources and the pre-plans for inter-provincial tie lines, and the national dispatching resources and the pre-plans for inter-regional tie lines; Step S2: The provincial dispatching level adjusts the boundary according to the pre-plan transmitted by the regional dispatching level, performs pre-balancing at the provincial dispatching level by coordinating provincial dispatching resources, calculates the provincial net load and generates the pre-plan for provincial dispatching resources. After equating the provincial net load to a single or multiple provincial node loads, the provincial node loads are transmitted to the regional dispatching level to achieve equivalent aggregation; Step S3: The regional dispatching level adjusts the boundary according to the pre-plan transmitted by the national dispatching level, pre-balances at the regional dispatching level based on each provincial node load by coordinating regional dispatching resources, calculates the total regional dispatching net load and generates the pre-plan for regional dispatching resources and inter-provincial tie lines, and transmits the pre-plan for regional dispatching resources and inter-provincial tie lines to the provincial dispatching level to update the provincial dispatching boundary, and transmits the total regional dispatching net load to the national dispatching level to achieve equivalent update; Step S4: The national dispatching level balances at the national dispatching level by coordinating national dispatching resources based on the provincial node load and the total regional dispatching net load, generates the pre-plan for national dispatching resources and inter-regional tie lines, and transmits the pre-plan for national dispatching resources and inter-regional tie lines to the regional dispatching level to update the regional dispatching boundary; Step S5: Determine whether the convergence criterion is met. If not, transmit the updated provincial node loads to the provincial dispatching level and the updated total regional dispatching net load to the regional dispatching level to achieve equivalence; If so, go to step S6; Step S6: Obtain the operation plans for each level.

3. The ADMM-based multi-level collaborative dispatching operation solution method for provincial power grids of State Grid as claimed in claim 2, wherein Before the step S6, it further includes that when the convergence criterion is met, perform a security check. If the security check fails, modify the corresponding pre-plan for regional dispatching resources and inter-provincial tie lines, and the pre-plan for national dispatching resources and inter-regional tie lines, and go to step S1.

4. The ADMM-based multi-level collaborative scheduling operation solution method for provincial power grids of the State Grid according to claim 2, wherein, The expression of the pre-balancing at the provincial dispatching level is as follows: In the above formula, represents the provincial dispatching resource pre - plan at time t, represents the total load of the provincial dispatching at time t, represents the load gap / margin of the provincial dispatching at time t; The expression of the pre-balancing at the regional dispatching level is as follows: In the above formula, represents the pre-scheduled resources of the network dispatcher at time t, represents the total net load of the network dispatcher at time t, represents the load gap / margin of the network dispatcher at time t; The expression of the balancing at the national dispatching level is as follows: In the above formula, represents the pre-planned resources of the national dispatching center at time t, represents the total net load of the entire network at time t, represents the load relaxation margin for the national dispatching center to conduct overall network balance.

5. The ADMM-based multi-level collaborative scheduling operation solving method for provincial power grids of State Grid as described in claim 4, wherein The consistency constraints include the consistency constraints between the network and provincial levels and the consistency constraints between the national grid levels; Among them, the expression of the consistency constraints between the network and provincial levels is as follows: In the above formula, represents the total response volume of the network dispatching coordination resources, represents the transmission direction of the inter-provincial tie line corresponding to the time t, represents the transmission volume of the inter-provincial tie line transmitted through the provincial region at the time t; The expression of the consistency constraints between the national grid levels is as follows: In the above formula, represents the total response volume of the national dispatching coordinated resources, represents the transmission direction of the inter-regional tie line corresponding to time t, represents the transmission volume of the inter-regional tie line transmitted via the region at time t.

6. The ADMM-based multi-level collaborative dispatching operation solution method for provincial power grids of the State Grid as claimed in claim 5, wherein After introducing the first penalty term and second penalty term of the consistency constraints into the objective function of the national dispatching level, the optimization of the national dispatching level and the optimization of the regional dispatching level are obtained. Among them, the expression of the optimization of the national dispatching level is as follows: In the above formula, F1 represents the original national dispatching level objective function, T represents the time range, represents the primary penalty coefficient of the augmented Lagrangian at the k-th update of the national dispatching level, represents the secondary penalty coefficient of the augmented Lagrangian at the k-th update of the national dispatching level; The expression of the optimization of the regional dispatching level is as follows: In the above formula, F2 represents the original network dispatching level objective function, represents the first penalty coefficient of the augmented Lagrangian at the k-th update of the network dispatching level, represents the second penalty coefficient of the augmented Lagrangian at the k-th update of the network dispatching level.

7. The ADMM-based solution method for multi-level collaborative dispatching operation of provincial power grids of State Grid as described in claim 6, characterized in that, The method further includes setting the update step size of the primary penalty coefficient at the national dispatching level to be The expression is as follows: In the above formula, represents the primary penalty coefficient of the augmented Lagrangian at the (k + 1)-th update at the national dispatching level, represents the secondary penalty coefficient of the augmented Lagrangian at the (k + 1)-th update at the national dispatching level, and α Nat represents the penalty update constant of the secondary penalty term of the Lagrangian at the national dispatching level, and its value ranges from [0, 1]; Set the update step size of the first penalty coefficient at the network dispatching level to The expression is as follows: In the above formula, represents the first penalty coefficient of the augmented Lagrangian at the (k + 1)-th update of the network dispatching level, represents the second penalty coefficient of the augmented Lagrangian at the (k + 1)-th update of the network dispatching level, and α Reg represents the penalty update constant of the quadratic penalty term of the Lagrangian at the network dispatching level, and its value ranges from [0, 1].

8. The ADMM-based multi-level collaborative dispatching operation solution method for provincial power grids of State Grid according to any one of claims 5 to 8, characterized in that During the process of using the alternating direction multiplier method to perform hierarchical decoupling solution on the multi-level collaborative scheduling model, the convergence criterion is set as: In the above formula, ε represents the convergence accuracy of the hierarchical transmission variable.

9. A multi-level collaborative dispatching operation solution system for State Grid provinces based on ADMM, which uses the method according to any one of claims 1 to 8, characterized in that It includes: A construction module that constructs a multi-level collaborative balance model including the national dispatching level, regional dispatching level, and provincial dispatching level based on the equivalent aggregation theory; An update module for setting the consistency constraints of the transmission volume and response volume at each level, and introducing the first penalty term and the second penalty term of the consistency constraints into the objective functions of the national dispatching level and regional dispatching level of the multi-level collaborative balance model to obtain a multi-level collaborative dispatching optimization model; A solution module for using the alternating direction multiplier method to perform hierarchical decoupling solution on the multi-level collaborative dispatching optimization model to obtain the operation plans at each level.

10. The ADMM-based multi-level collaborative dispatching operation solution system for provincial power grids of the State Grid as described in claim 9, wherein, In the multi-level collaborative dispatching optimization model, the provincial dispatching level is configured to adjust the boundary according to the pre-plan transmitted by the regional dispatching level, perform pre-balancing at the provincial dispatching level by coordinating provincial dispatching resources, calculate the provincial net load and generate a pre-plan for provincial dispatching resources. After equating the provincial net load to the load of a single or multiple provincial nodes, the provincial node load is transmitted to the regional dispatching level to achieve equivalent aggregation; The regional dispatching level is configured to adjust the boundary according to the pre-plan transmitted by the national dispatching level, perform pre-balancing at the regional dispatching level based on the provincial node loads, calculate the total regional net load and generate a pre-plan for regional dispatching resources and inter-provincial tie lines, and transmit the pre-plan for regional dispatching resources and inter-provincial tie lines to the provincial dispatching to update the provincial dispatching boundary, and transmit the total regional net load to the national dispatching level to achieve equivalent update; The national dispatching level is configured to balance at the national dispatching level by coordinating national dispatching resources based on the provincial node load and the total regional net load, generate a pre-plan for national dispatching resources and inter-regional tie lines, and transmit the pre-plan for national dispatching resources and inter-regional tie lines to the regional dispatching to update the regional dispatching boundary.

Images