Multi-element flexible resource characteristic complementary rolling cooperative regulation and control method and related device

Abstract

The invention discloses a multi-element flexible resource characteristic complementary rolling cooperative regulation and control method and a related device, and relates to the technical field of electric power systems, and the method comprises the steps: obtaining new energy power grid line parameters; calculating a line out-of-limit degree and a risk coefficient according to the new energy power grid line parameters; according to the line out-of-limit degree and the risk coefficient, determining the line out-of-limit position, time and regulation and control quantity demand information; screening the multi-element flexible resources through the capacity, time period and position conditions of the multi-element flexible resources according to the position, time and regulation quantity demand information of line out-of-limit occurrence; and solving the current power grid model based on the screened resource optimization to obtain each resource regulation and control plan, so that the power of the out-of-limit line is kept in a safe range. According to the invention, the occurrence rate of line out-of-limit and the operation complexity can be greatly reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of power systems, and in particular to a method for complementary rolling coordinated control of multi-flexible resource characteristics and related devices. Background Art

[0002] Due to the rapid development of renewable energy power generation, the proportion of renewable energy power generation in total power generation has increased significantly. Since renewable energy power generation is highly dependent on natural resources, it is characterized by randomness, intermittency and volatility, which may lead to significant changes in the output of renewable energy power generation in a short period of time. At the same time, the increase in the combination of different types of renewable energy output makes the operation of the power system complex and changeable. Secondly, the fluctuations on the power consumption side also pose a threat to the security of the new power system.

[0003] At present, in response to the problem of power grid line over-limit, the industry recognizes the potential of multiple flexible resources to participate in the active power regulation of regional power grids in a coordinated manner, but the research work has the following shortcomings: 1) At present, the research on the participation of single-type loads in regulation is relatively mature, but there is a lack of research on the complementary and coordinated participation of multiple flexible resources in regulation, especially considering the strong and weak synergy relationship of multiple flexible resources on a short time scale, resource conflicts and complementary regulation capabilities; 2) The current optimization regulation of regional power grids is mostly based on day-ahead forecasts and resource status data, and the executed regulation plan is not rolled over within the day. The above methods do not take into account the deviation between the forecast value and the actual value of the new energy and load of the regional power grid, as well as the dynamic changes in the resource regulation capacity, resulting in the ex ante planning not being applicable to the actual operating power grid and failing to achieve the expected regulation effect. Summary of the invention

[0004] The purpose of the present invention is to provide a method and related device for rolling coordinated control of multiple flexible resource characteristics complementarity to overcome the defects of the prior art. The present invention can greatly reduce the occurrence rate of line over-limit and the complexity of calculation.

[0005] In order to achieve the above object, the present invention adopts the following technical scheme: The method for complementary rolling coordinated regulation of multiple flexible resource characteristics includes the following steps: Obtain new energy grid line parameters; Calculate the degree of line over-limit and risk factor based on the new energy grid line parameters; Determine the location, time and control demand information of the line exceeding the limit according to the degree of line exceeding the limit and risk factor; According to the location, time and control demand information of the line exceeding the limit, the multiple flexible resources are screened by their capacity, time period and location conditions; The current power grid model is solved based on the screening resource optimization, and the resource regulation plan is obtained to keep the power of the over-limit line within a safe range.

[0006] Furthermore, the new energy grid line parameters include grid topology, line active power, new energy output forecast value, power consumption forecast value, and the types and numbers of multiple flexible resources involved in regulation.

[0007] Furthermore, the degree of line over-limit and risk coefficient are calculated according to the new energy power grid line parameters, which is specifically expressed as follows:

[0008]

[0009] in, is the degree of line violation, For the power grid The minimum power that the line can withstand, For the The maximum power that the line can withstand, For line At the moment The power, is the risk factor of line crossing the limit, They are the risk coefficient thresholds for negative and positive over-limit of the line respectively.

[0010] Furthermore, the location, time and control quantity demand information of the line exceeding the limit are determined according to the degree of line exceeding the limit and the risk factor, specifically: Based on the degree of line crossing and risk factor, the crossing matrix is ​​established as follows:

[0011] Among them, 0 means that the line active power is within the safety threshold range, -1 means that the line is negatively over-limited, 1 means that the line is positively over-limited, and 2 means that the line is not over-limited but the risk of over-limiting is high; The control demand information is specifically: the control demand when the line exceeds the limit is , the regulation demand for the high-risk positive crossing limit of the line is The regulation demand for high-risk negative crossing of the line is ; Based on the degree of line over-limit and risk factor, the location, time and control demand information of line over-limit are determined, and the over-limit matrix is ​​established as follows:

[0012] Among them, the numbers represent the specific control demands of each line in each time period.

[0013] Furthermore, the screening of the multiple flexible resources by the capacity, time period and location conditions of the multiple flexible resources specifically includes: Model multiple flexible resources to obtain the adjustable time characteristics and adjustable capacity characteristics of each resource; Establish resource-line matrix and resource-adjustable time period matrix to select resources that can handle over-limit lines in terms of location and adjustable time period; Establish a resource adjustable capacity-line matrix, and then select resources that can handle over-limit lines from the perspective of multiple flexible resource adjustable capacity; The result is a resource set that satisfies both complementary characteristics and adjustable time period requirements.

[0014] Furthermore, the resource-line matrix is ​​expressed as follows:

[0015] Among them, the number 0 means that the resource output cannot affect the active power of the line; the number 1 means that the resource provides a reduction effect on the line; the number -1 means that the resource provides a consumption effect on the line; The resource-adjustable time period matrix is ​​expressed as follows:

[0016] The number 1 indicates that the resource can participate in regulation during the time period; the number 0 indicates that the resource cannot participate in regulation during the time period; The resource adjustable capacity-line matrix is ​​expressed as follows:

[0017] Among them, the number represents the capacity of the resource that can participate in regulation in a certain period of time. A positive number represents the capacity of the resource to provide a reduction effect on the line; a negative number represents the capacity of the resource to provide a consumption effect.

[0018] Furthermore, the resource set that satisfies both the complementary characteristics and the adjustable time period requirement It is expressed as follows:

[0019] in, is the nth resource participating in the regulation in period t; Set the maximum number of collaborative optimization resources to N. If , filter the resource collection again:

[0020] In the formula, The evaluation function for re-screening resources, For resources Cost per unit of power output; For resources The longest time you can continue working. For resources Duration of current employment; For resources The end time of the callable, is the current time period; For the three proportional coefficients, calculate the resource set After obtaining the measurement results, N resources to be optimized are selected from the n resources in order from small to large.

[0021] Furthermore, the resource optimization based on screening solves the current power grid model to obtain various resource control plans, which specifically include: Set the optimization function; Based on the optimization function, the swarm intelligence algorithm is used to solve the current power grid model and obtain the specific output plan of each resource at the current time node; Determine whether the current resource output planning can keep the line power within the safety threshold range. If so, the power grid operation will roll to the next time node, otherwise continue to solve the current power grid model.

[0022] Furthermore, the optimization function includes:

[0023] in, is the total number of lines in the regional power grid, It is the sum of the over-limit amounts of all over-limit lines within 24 hours. represents the amount of crossing the limit of the ith crossing line at time t;

[0024] in, It is the sum of the risks of all high-risk crossing routes within 24 hours. represents the risk amount of the ith high-risk crossing line at time t;

[0025] in, is the total number of resource types called, is the unit cost of resource j, is the power output of resource j in time period t.

[0026] Furthermore, after the power grid operation rolls to the next time node, it includes: Use the specific output planning of each resource at the previous time node, and re-acquire the parameters of the new energy power grid line. Calculate the degree of line over-limit and risk coefficient based on the parameters of the new energy power grid line. Determine the location, time and control demand information of the line over-limit according to the degree of line over-limit and risk coefficient. If no new line over-limit occurs, continue to use the specific output plan of each resource at the previous time node; otherwise, according to the location, time and regulation demand information of the line over-limit, select the multiple flexible resources by their capacity, time period and location conditions; optimize the current power grid model based on the selected resources to obtain a new regulation plan for each resource, so that the power of the over-limit line remains within a safe range.

[0027] The multi-functional and flexible resource characteristic complementary rolling coordinated control system includes: Parameter acquisition module: used to obtain new energy grid line parameters; Calculation module: used to calculate the degree of line over-limit and risk coefficient according to the parameters of the new energy power grid line; Over-limit determination module: used to determine the location, time and control quantity demand information of the line over-limit occurrence according to the degree of line over-limit and risk factor; Screening module: used to screen multiple flexible resources according to the capacity, time period and location conditions of multiple flexible resources based on the location, time and control demand information of the line exceeding the limit; Control module: It is used to solve the current power grid model based on the screening resource optimization, obtain the control plan of each resource, and keep the power of the over-limit line within a safe range.

[0028] A computer device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method for complementary rolling coordinated regulation of multi-element flexible resource characteristics when executing the computer program.

[0029] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the method for complementary rolling coordinated regulation of multi-element flexible resource characteristics.

[0030] Compared with the prior art, the present invention has the following beneficial technical effects: Traditional control resources represented by thermal power are difficult to solve the problem of power exceeding the limit of some lines under the background of a high proportion of new energy, and it is impossible to control the line power on a short time scale. The scheme of the present invention comprehensively considers the complementary and coordinated space of multi-flexible resource control, realizes the active power control of the regional power grid on a short time scale, matches the control characteristics of the over-limit lines and various flexible resources in the power grid, and ensures the safe operation of the power grid on a short time scale; by designing a rolling update resource control planning scheme, it ensures that the power of the power grid line can maintain safety in a dynamically changing environment, avoiding deviations in the line power control results due to the volatility of predictions and resource characteristics. Grid operators can operate the regional power grid based on actual engineering experience and refer to the present invention, which can greatly reduce the incidence of line over-limit and the complexity of calculations. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] The drawings in the specification are used to provide further understanding of the present invention and constitute a part of the present invention. The schematic embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

[0032] Figure 1 This is a flow chart of a method for complementary rolling coordinated control of multiple flexible resource characteristics according to Embodiment 1 of the present invention; Figure 2 A topological structure diagram of IEEE33 nodes for accessing new energy and resources in the method for complementary rolling coordinated control of multiple flexible resource characteristics according to the second embodiment of the present invention; Figure 3 A resource adjustable time period characteristic relationship diagram considered in the multi-flexible resource characteristic complementary rolling coordinated control method of the second embodiment of the present invention; Figure 4 A resource adjustable capacity characteristic relationship diagram considered in the multi-flexible resource characteristic complementary rolling coordinated control method of the second embodiment of the present invention; Figures 5(a) to 5(d) are the output sizes of resources in the next 24 hours calculated in the starting period in the method for complementary rolling coordinated control of multiple flexible resource characteristics according to the second embodiment of the present invention, wherein Figure 5(a) is the output plan of nodes 30-33, Figure 5(b) is the output plan of nodes 23-25, Figure 5(c) is the output plan of nodes 15-18, and Figure 5(d) is the output plan of nodes 8-12, 26-28, and 30-33; Figures 6 (a) to 6 (h) are the power changes of the original over-limit and high-risk lines calculated in the IEEE33-node system after the control strategy of the start period is executed in the multi-element flexible resource characteristic complementary rolling collaborative control method of the second embodiment of the present invention, wherein Figure 6 (a) is a power comparison diagram of line 3 before and after control, Figure 6 (b) is a power comparison diagram of line 4 before and after control, Figure 6 (c) is a power comparison diagram of line 5 before and after control, Figure 6 (d) is a power comparison diagram of line 14 before and after control, Figure 6 (e) is a power comparison diagram of line 13 before and after control, Figure 6 (f) is a power comparison diagram of line 14 before and after control, Figure 6 (g) is a power comparison diagram of line 15 before and after control, and Figure 6 (h) is a power comparison diagram of line 22 before and after control; Figures 7(a) to 7(d) are the changes in the output of resources in the next 24 hours calculated in the rolling period in the method for rolling coordinated control of the characteristics of multiple flexible resources according to the second embodiment of the present invention, wherein Figure 7(a) is the planned output change of nodes 8-12 / 26-28 / 30-33, Figure 7(b) is the planned output change of nodes 15-18, Figure 7(c) is the planned output change of nodes 23-25, and Figure 7(d) is the planned output change of nodes 30-33; FIG8 (a) and FIG8 (b) are the power changes of the original over-limit and high-risk lines calculated in the multi-element flexible resource characteristic complementary rolling coordinated control method of the second embodiment of the present invention after the IEEE33 node system executes the control strategy of the rolling period, wherein FIG8 (a) is a power comparison diagram of line 15 before and after the control, and FIG8 (b) is a power comparison diagram of line 28 before and after the control; Fig. 9 This is a schematic diagram of the structure of the multi-flexible resource characteristic complementary rolling collaborative control system according to the third embodiment of the present invention. DETAILED DESCRIPTION

[0033] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0034] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0035] Embodiment 1 See also Figure 1 This embodiment provides a method for rolling coordinated regulation of multiple flexible resource characteristics with complementary characteristics, including the following steps: Obtain new energy grid line parameters; Calculate the degree of line over-limit and risk factor based on the new energy grid line parameters; Determine the location, time and control demand information of the line exceeding the limit according to the degree of line exceeding the limit and risk factor; According to the location, time and control demand information of the line exceeding the limit, the multiple flexible resources are screened by their capacity, time period and location conditions; The current power grid model is solved based on the screening resource optimization, and the resource regulation plan is obtained to keep the power of the over-limit line within a safe range.

[0036] Embodiment 2 This embodiment provides a method for rolling coordinated control of multiple flexible resource characteristics with complementary characteristics, including the following steps: S1. Obtain the regional power grid topology, line active power, new energy output forecast, power consumption forecast, and the types and number of multiple flexible resources involved in regulation; S2. Based on step S1, calculating the degree of line crossing and risk factor; S3. On the basis of step S2, find the location, time and control quantity demand information of the line exceeding the limit; S4. Based on step S3, the multiple flexible resources are screened by the capacity, time period, location and other conditions of the multiple flexible resources; S5. On the basis of step S4, the current power grid model is optimized and solved to obtain resource control plans to keep the power of the over-limit line within a safe range; S6. Based on step S4, the grid operation rolls to the next time node, the original control plan is used, and S1 to S3 are repeated. If no new line exceeds the limit, the current control plan is continued to be used; otherwise, S4 and S5 are executed to obtain a new control plan.

[0037] like Figure 2 The figure shows a schematic diagram of the IEEE 33-node system topology structure adopted in this embodiment, including 1 generator set, 32 lines, 32 load nodes, 2 wind power new energy sources, 2 distributed photovoltaics, 3 gas turbines, 4 battery energy storages, 6 electric vehicle loads, and 6 air conditioning loads.

[0038] S1 specifically includes the following steps: S101, abstracting the actual power grid into a power grid topology structure and simplifying it; S102. Obtain the active power of the power lines in the region ; S103. Obtain the predicted value of new energy output, the predicted value of electricity consumption, and the types and numbers of multiple flexible resources involved in regulation.

[0039] Specifically, wind power generation can be predicted using a mathematical model, measuring the wind speed in the current area and using the following formula:

[0040] Where: is wind power; is the actual wind speed; is the cut-in wind speed; To cut out the wind speed; is the rated output power of the wind turbine; is the rated wind speed.

[0041] Distributed photovoltaic power generation can be predicted using BP neural network. Based on statistical meteorological and power data, the weight relationship and rules between input and output are trained to predict the photovoltaic power in the next period.

[0042] S2 includes the following steps: S201. Calculate the degree of line power exceeding the limit through the definition formula :

[0043] In the above formula For the power grid The minimum power that the line can withstand, For the The maximum power that the line can withstand, For line At the moment The power of the line is used to obtain the position, time and control amount of the line exceeding the limit; S202: Based on step S201, the risk coefficient of line crossing is calculated by the definition formula. :

[0044] In the formula, The risk coefficient thresholds for negative and positive over-limit of the line are obtained. The location, time and control quantity demand information of the high over-limit risk line are obtained.

[0045] S3 includes: On the basis of steps S201 and S202, an over-limit matrix is ​​established as follows:

[0046] Among them, 0 represents the current forecast period line The active power is within the safety threshold range. 1 indicates that the line is over the limit, -1 indicates that the line is over the limit, and 2 indicates that the line is not over the limit but the risk of over the limit is high.

[0047] The out-of-limit matrix only records the status of the grid lines: normal, out-of-limit and high-risk, without marking the regulation demand.

[0048] The control demand information is specifically: the control demand when the line exceeds the limit is , the regulation demand for the high-risk positive crossing limit of the line is The regulation demand for high-risk negative crossing of the line is ; Based on the degree of line over-limit and risk factor, the location, time and control demand information of line over-limit are determined, and the over-limit matrix is ​​established as follows:

[0049] Among them, the numbers represent the specific control demands of each line in each time period.

[0050] S4 includes the following steps: S401. Model the multiple flexible resources to obtain the adjustable time characteristics and adjustable capacity characteristics of each resource. The time characteristics include the sustainable adjustment duration, the response time interval and the adjustable time period distribution. The adjustable capacity characteristics include the adjustable direction, the adjustable size and the adjustable total capacity characteristics; S402: On the basis of step S401, a resource-line matrix is ​​established as follows:

[0051] Among them, 0 means that the resource output cannot affect the active power of the line; the number 1 means that the resource provides a reduction effect on the line; the number -1 means that the resource provides an effect.

[0052] The resource-adjustable time period matrix is ​​established as follows:

[0053] Among them, the number 1 means that the resource can participate in regulation during the time period; S403, based on steps S402 and S403, select resources that can handle the over-limit line from the aspects of location and adjustable time period; S404: On the basis of step S403, a resource capacity-line matrix is ​​established as follows:

[0054] The numbers in the matrix represent the capacity of the resource that can participate in regulation in a certain period of time, where positive numbers represent the capacity of the resource to provide a reduction effect on the line; negative numbers represent the capacity of the resource to provide a consumption effect. Then, from the perspective of the adjustable capacity of multiple flexible resources, resources that can handle over-limit lines are selected; S405: Based on step S404, a resource set that satisfies both complementary characteristics and adjustable time period requirements is obtained. for:

[0055] in, is the nth resource participating in the regulation in period t; Set the maximum number of collaborative optimization resources to N. If , filter the resource collection again:

[0056] In the formula, The evaluation function for re-screening resources, For resources Cost per unit of power output; For resources The longest time you can work continuously, For resources Duration of current employment; For resources The end time of the callable, is the current time period; are three proportional coefficients. Calculate the resource collection After the measurement results are obtained, N resources to be optimized are selected from the n resources in order from small to large; Specifically, during the execution of step S401, the resource characteristics are studied as follows: Figure 3 and Figure 4 The study of flexible resource time characteristics includes sustainable adjustment duration, response time interval and adjustable time period distribution. Figure 3 middle, Indicates that flexible resources participate in The start time of this control. Indicates that flexible resources participate in End time of the next control, To adjust the maximum value of the continuous time, To adjust the minimum interruption time, The start time of the time period can be adjusted. Adjustable period end time; capacity characteristic study includes adjustable direction characteristics, adjustable size, ramp rate and adjustable total capacity. Figure 4 middle, is the total current regulation capacity of the resource, Adjust the maximum total capacity. For resources in time The output size; For resources in time The climbing rate should not exceed the maximum climbing rate ; is the minimum adjustment capacity of the resource at time t, For time The maximum regulation capacity of resources. The multivariate flexible resources involved in the present invention include four categories: gas turbines, battery energy storage, electric vehicles and central air conditioners. The regulation characteristics of gas turbines and battery energy storage are obtained through mathematical models; the regulation characteristics of electric vehicles are obtained through Monte Carlo modeling; and the regulation characteristics of central air conditioners are obtained by the aggregate equivalent EPT thermodynamic model.

[0057] Step S405 indicates that the lower the cost, the greater the probability that resources closer to the end time period will be selected; resources try to work continuously and reduce start and stop. Considering the economy, it leaves more room for selection for the selection of resources in the subsequent time periods and reduces the complexity of the solution in step S4.

[0058] S5 includes the following steps: S501, setting an optimization function, wherein the optimization function is composed of the following formula:

[0059] In the formula, The total number of lines in the regional power grid, It is the sum of the over-limit amounts of all over-limit lines within 24 hours. Represents the amount of violations of the i-th violation line at time t.

[0060]

[0061] In the formula, It is the sum of the risks of all high-risk crossing lines within 24 hours.

[0062]

[0063] In the formula, is the total number of resource types called, is the unit cost of resource j, is the power output of resource j in time period t.

[0064]

[0065] The optimization function is the weighted sum of each objective. is the weight; S502: Based on step S501, a swarm intelligence algorithm is used to solve the current power grid model to obtain a specific control plan for each resource in each time period.

[0066] Specifically, during the execution of step S502, based on the rolling collaborative optimization strategy of the 0 o'clock new energy forecast data and the complementary characteristics of the multi-flexible resource, the output plan of each node is shown in Figure 5 (a)-Figure 5 (d). The over-limit time is mainly concentrated in two time periods: one is the noon period when the new energy output is relatively large, and the supply exceeds the demand; the other is the peak period of electricity consumption in the evening, when the demand exceeds the supply.

[0067] The power of over-limit and high-risk lines before and after resource regulation at time 0 is shown in Figure 6 (a) to Figure 6 (h). After resource participation regulation, the over-limit power of lines and the power of high-risk over-limit lines are effectively controlled within the safety threshold.

[0068] S503: Based on step S502, execute step S3 to determine whether the current flexible resource control plan can keep the line power within the safety threshold. If there are still over-limit lines, continue to execute S502, otherwise continue to S6; By means of the above method: the specific output of resources is solved by particle swarm algorithm. In the designed PSO algorithm, the D-dimensional target search space is the output of each resource in each time period; the limited range of each dimension is determined by the resource capacity in step S401; and the fitness function is determined by step S501. It is the optimal solution under the designed fitness function.

[0069] In the process of executing step S503, if it is determined that there is a new over-limit line and then in the process of executing step S502, the result of the resource control planning is not recalculated. The resource control planning result of the previous time node is used as the initial value of the optimization solution, which can improve the efficiency of the new resource control planning solution and greatly reduce the solution time.

[0070] Specifically, during the execution of step S503, the output change of each node based on the 4-hour resource control plan is shown in Figure 7 (a)-Figure 7 (d). The comparison diagram of over-limit and high-risk line power before and after the 4-hour resource control plan change is shown in Figure 8 (a) and Figure 8 (b). Since there is a deviation between the current new energy forecast value and the forecast value of the previous period, the application of the previous control plan will still cause high-risk power or even over-limit in the local line, and the multi-resource output plan needs to be optimized on this basis. After the rolling update, the line power is controlled within the safety threshold range.

[0071] S6 includes the following steps: S601, scroll to the next time node and update the execution step S103; S602: Based on step S5, check and execute steps S2 and S3 to determine whether a new over-limit line appears. If not, go to step S6 again. If a new over-limit line appears, execute S603; S603: Based on the result obtained in step S5, re-execute S4 and S5 to obtain a control plan for flexible resources at a new time node.

[0072] Preferably, according to the specific characteristics of line over-limit, multiple flexible resources are complementary and regulated to screen out the resources with the greatest benefits and reduce the calculation complexity; the resource output planning is rolled out and executed in each time period, so that the power of the regional power grid lines is kept within the safety threshold under the dynamically changing external environment. This not only taps the adjustable and controllable capabilities of multiple flexible resources, but also improves the real-time safety of regional power grid operation.

[0073] Embodiment 3 See also Fig. 9 The present invention provides a multi-flexible resource characteristic complementary rolling coordinated control system, comprising: Parameter acquisition module: used to obtain new energy grid line parameters; Calculation module: used to calculate the degree of line over-limit and risk coefficient according to the parameters of the new energy power grid line; Over-limit determination module: used to determine the location, time and control quantity demand information of the line over-limit occurrence according to the degree of line over-limit and risk factor; Screening module: used to screen multiple flexible resources according to the capacity, time period and location conditions of multiple flexible resources based on the location, time and control demand information of the line exceeding the limit; Control module: It is used to solve the current power grid model based on the screening resource optimization, obtain the control plan of each resource, and keep the power of the over-limit line within a safe range.

[0074] Embodiment 4 The present invention provides a computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the method for complementary rolling coordinated regulation of multi-flexible resource characteristics are implemented.

[0075] Embodiment 5 The present invention provides a computer-readable storage medium, which stores a computer program, and is characterized in that when the computer program is executed by a processor, the steps of the method for complementary rolling coordinated regulation of multi-flexible resource characteristics are implemented.

[0076] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0077] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0078] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0079] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0080] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit its protection scope. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the field should understand that after reading the present invention, those skilled in the art can still make various changes, modifications or equivalent substitutions to the specific implementation methods of the invention, but these changes, modifications or equivalent substitutions are all within the protection scope of the pending claims of the invention.

Claims

1. A method for complementary rolling coordinated regulation of multiple flexible resource characteristics, characterized in that: The steps include: Obtain new energy grid line parameters; Calculate the degree of line over-limit and risk factor based on the new energy grid line parameters; Determine the location, time and control demand information of the line exceeding the limit according to the degree of line exceeding the limit and risk factor; According to the location, time and control demand information of the line exceeding the limit, the multiple flexible resources are screened by their capacity, time period and location conditions; The current power grid model is solved based on the screening resource optimization, and the resource regulation plan is obtained to keep the power of the over-limit line within a safe range.

2. The method for complementary rolling coordinated control of multiple flexible resource characteristics according to claim 1 is characterized in that: The new energy power grid line parameters include power grid topology, line active power, new energy output forecast value, power consumption forecast value, and the types and numbers of multiple flexible resources involved in regulation.

3. The method for complementary rolling coordinated control of multiple flexible resource characteristics according to claim 1 is characterized in that: The degree of line over-limit and risk coefficient calculated according to the new energy power grid line parameters are specifically expressed as follows: in, is the degree of line violation, For the power grid The minimum power that the line can withstand, For the The maximum power that the line can withstand, For Line At the moment The power, is the risk factor of line crossing the limit, They are the risk coefficient thresholds for negative and positive over-limit of the line respectively.

4. The method for complementary rolling coordinated control of multiple flexible resource characteristics according to claim 3 is characterized in that: The location, time and control quantity demand information of the line exceeding the limit are determined according to the degree of line exceeding the limit and the risk factor, specifically: Based on the degree of line crossing and risk factor, the crossing matrix is ​​established as follows: Among them, 0 means that the line active power is within the safety threshold range, -1 means that the line is negatively over-limited, 1 means that the line is positively over-limited, and 2 means that the line is not over-limited but the risk of over-limiting is high; The control demand information is specifically: the control demand when the line exceeds the limit is , the regulation demand for the high-risk positive crossing limit of the line is , the regulation demand for high-risk negative crossing of the line is ; Based on the degree of line over-limit and risk factor, the location, time and control demand information of line over-limit are determined, and the over-limit matrix is ​​established as follows: Among them, the numbers represent the specific control demands of each line in each time period.

5. The method for complementary rolling coordinated control of multiple flexible resource characteristics according to claim 1 is characterized in that: The screening of the multiple flexible resources by the capacity, time period and location conditions of the multiple flexible resources specifically includes: Model multiple flexible resources to obtain the adjustable time characteristics and adjustable capacity characteristics of each resource; Establish resource-line matrix and resource-adjustable time period matrix to select resources that can handle over-limit lines in terms of location and adjustable time period; Establish a resource adjustable capacity-line matrix, and then select resources that can handle over-limit lines from the perspective of multiple flexible resource adjustable capacity; The result is a resource set that satisfies both complementary characteristics and adjustable time period requirements.

6. The method for complementary rolling coordinated control of multiple flexible resource characteristics according to claim 5 is characterized in that: The resource-line matrix is ​​represented as follows: Among them, the number 0 means that the resource output cannot affect the active power of the line; the number 1 means that the resource provides a reduction effect on the line; the number -1 means that the resource provides a consumption effect on the line; The resource-adjustable time period matrix is ​​expressed as follows: The number 1 indicates that the resource can participate in regulation during the time period; the number 0 indicates that the resource cannot participate in regulation during the time period; The resource adjustable capacity-line matrix is ​​expressed as follows: Among them, the number represents the capacity of the resource that can participate in regulation in a certain period of time. A positive number represents the capacity of the resource to provide a reduction effect on the line; a negative number represents the capacity of the resource to provide a consumption effect.

7. The method for complementary rolling coordinated control of multiple flexible resource characteristics according to claim 5 is characterized in that: The resource set that satisfies both complementary characteristics and adjustable time period requirements It is expressed as follows: in, is the nth resource participating in the regulation in period t; Set the maximum number of collaborative optimization resources to N. If , filter the resource collection again: In the formula, The evaluation function for re-screening resources, For resources Cost per unit of power output; For resources The longest time you can work continuously, For resources Duration of current employment; For resources The end time of the callable, is the current time period; For the three proportional coefficients, calculate the resource set After obtaining the measurement results, N resources to be optimized are selected from the n resources in order from small to large.

8. The method for complementary rolling coordinated control of multiple flexible resource characteristics according to claim 1 is characterized in that: The resource optimization based on screening solves the current power grid model to obtain various resource control plans, which specifically include: Set the optimization function; Based on the optimization function, the swarm intelligence algorithm is used to solve the current power grid model and obtain the specific output plan of each resource at the current time node; Determine whether the current resource output planning can keep the line power within the safety threshold range. If so, the power grid operation will roll to the next time node, otherwise continue to solve the current power grid model.

9. The method for complementary rolling coordinated control of multiple flexible resource characteristics according to claim 8 is characterized in that: The optimization function includes: in, is the total number of lines in the regional power grid, It is the sum of the over-limit amounts of all over-limit lines within 24 hours. represents the amount of crossing the limit of the ith crossing line at time t; in, It is the sum of the risks of all high-risk crossing routes within 24 hours. represents the risk amount of the ith high-risk crossing line at time t; in, is the total number of resource types called, is the unit cost of resource j, is the power output of resource j in time period t.

10. The method for complementary rolling coordinated control of multiple flexible resource characteristics according to claim 8, characterized in that: After the power grid operation rolls to the next time node, it includes: Use the specific output planning of each resource at the previous time node, and re-acquire the parameters of the new energy power grid line. Calculate the degree of line over-limit and risk coefficient based on the parameters of the new energy power grid line. Determine the location, time and control demand information of the line over-limit according to the degree of line over-limit and risk coefficient. If no new line over-limit occurs, continue to use the specific output plan of each resource at the previous time node; otherwise, according to the location, time and regulation demand information of the line over-limit, select the multiple flexible resources by their capacity, time period and location conditions; optimize the current power grid model based on the selected resources to obtain a new regulation plan for each resource, so that the power of the over-limit line remains within a safe range.

11. A multi-functional flexible resource characteristic complementary rolling coordinated control system, characterized by: include: Parameter acquisition module: used to obtain new energy grid line parameters; Calculation module: used to calculate the degree of line over-limit and risk coefficient according to the parameters of the new energy power grid line; Over-limit determination module: used to determine the location, time and control quantity demand information of the line over-limit occurrence according to the degree of line over-limit and risk factor; Screening module: used to screen multiple flexible resources according to the capacity, time period and location conditions of multiple flexible resources based on the location, time and control demand information of the line exceeding the limit; Control module: It is used to solve the current power grid model based on the screening resource optimization, obtain the control plan of each resource, and keep the power of the over-limit line within a safe range.

12. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method for complementary rolling coordinated regulation of multi-flexible resource characteristics as described in any one of claims 1 to 10 are implemented.

13. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method for complementary rolling coordinated regulation of multi-flexible resource characteristics as described in any one of claims 1 to 10 are implemented.

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