Optimization method and system for dynamic grid power distribution network

Abstract

The invention discloses an optimization method and system for a dynamic grid power distribution network, and relates to the technical field of intelligent power grids, and the method comprises the steps: dividing a power supply region of the dynamic grid power distribution network, carrying out the optimization adjustment of a grid division effect according to an evaluation result, and completing the closed-loop process processing of grid division. And monitoring the visualization processing process to complete optimization of the dynamic grid power distribution network. By implementing dynamic grid division and real-time optimization adjustment, the operation flexibility and efficiency of the power distribution network are remarkably improved, reasonable configuration and efficient utilization of power resources are achieved, meanwhile, the adaptability of the power grid to renewable energy access is enhanced, the quality and reliability of power services are improved, and the method is suitable for popularization and application. And powerful technical support is provided for promoting the development of an intelligent power grid.

Description

Technical Field

[0001] The present invention relates to the technical field of smart grids, and in particular to an optimization method and system for a dynamic grid distribution network. Background Art

[0002] With the rapid development of social economy and the continuous improvement of people's living standards, energy consumption has increased sharply, and the power system is facing unprecedented challenges. Especially in the context of accelerated urbanization, the contradiction between the growth of electricity demand and the stability and reliability of electricity supply has become increasingly prominent, and traditional distribution networks have been unable to meet the requirements of modern society for the quality of electricity services. At the same time, with the continuous advancement of renewable energy power generation technology and its large-scale access to the power grid, the operation mode and management mechanism of the power system are also facing profound changes. In this context, how to improve the operating efficiency, reliability and flexibility of the distribution network has become a key issue that needs to be urgently addressed in the power industry. Therefore, the present invention proposes an optimization method for a dynamic grid distribution network, which aims to effectively respond to the above challenges and promote the sustainable development of the power industry through innovative technical means.

[0003] In the prior art, the management of distribution networks mostly relies on static planning and fixed partitioning. This model is rigid and lacks flexibility when facing rapidly changing load demands and distributed energy access, which can easily lead to problems such as unreasonable resource allocation and low operating efficiency. In addition, traditional methods often lack effective quantitative indicators when evaluating and optimizing power grid performance, and it is difficult to accurately reflect the actual operating status of the power grid. In response to these defects, the present invention proposes a distribution network optimization method based on dynamic grid division, which can not only dynamically adjust the power supply area according to real-time load characteristics and power grid facility status data, but also can achieve accurate evaluation and continuous optimization of power grid performance by constructing a comprehensive evaluation index system, thereby effectively improving the operating quality and economic benefits of the distribution network. Summary of the invention

[0004] In view of the problems existing in the existing optimization methods and systems of dynamic grid distribution networks, the present invention is proposed.

[0005] Therefore, the purpose of the present invention is to provide an optimization method and system for a dynamic grid distribution network. In view of the defects of rigid distribution network management, unreasonable resource allocation and low operating efficiency in the prior art, the present invention adopts the technical means of dynamic grid division and real-time optimization and adjustment to solve them.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0007] In a first aspect, an embodiment of the present invention provides a method for optimizing a dynamic grid distribution network, which includes dividing the power supply area of ​​the dynamic grid distribution network, collecting load characteristics and grid facility status data after the power supply area is divided, and dynamically adjusting the power supply area according to the collected results;

[0008] Evaluate the grid division effect of the power supply area planning after dynamic adjustment, optimize and adjust the grid division effect according to the evaluation results, and complete the closed-loop process of grid division;

[0009] The closed-loop process of grid division is evaluated by dynamic reliability, and the evaluated closed-loop process is visualized through an autonomous geographic information system. The visualized process is monitored to complete the optimization of the dynamic grid distribution network.

[0010] As a preferred solution of the optimization method of the dynamic grid distribution network of the present invention, the power supply area is divided into the entire power supply area according to geography, load characteristics and grid structure, and the weak centralization idea is adopted. The grid is the basic unit, and each grid is divided according to the basic division principle of equality at the control level. The process of the basic division principle is as follows:

[0011] Use the active and reactive reserve capacity within each grid to maintain voltage stability and power balance, establish isolated islands for each grid, and enable adjacent grids to share resources;

[0012] When each grid encounters a problem that it cannot solve itself during operation, the control range of each grid is dynamically adjusted by adjusting the open and closed states of the interconnection switches between grids and the segment switches within the grid.

[0013] As a preferred solution of the method for optimizing the dynamic grid distribution network of the present invention, wherein: the dynamically adjusting the power supply area according to the collection results includes collecting the load characteristics and grid facility status data in each grid, and analyzing them according to the dynamic adjustment principle, wherein the analysis includes flexibility demand analysis and flexibility supply analysis of the grid distribution network, and the dynamic adjustment principle includes optimizing the grid division based on the flexibility deficiency calculation of the grid;

[0014] When the net load in each grid decreases, there is only downward flexibility demand;

[0015] When the net load in each grid increases, there is only upward flexibility demand;

[0016] When the net load variation range in each grid is between 0 and 1, there is a two-way flexibility demand, that is, both an upward flexibility demand and a downward flexibility demand;

[0017] The specific calculation formula for the flexibility demand analysis is:

[0018]

[0019]

[0020]

[0021] in, as well as are the upward / downward flexibility requirements of load, PV and wind turbine at time t, and are the predicted values ​​of load, photovoltaic and wind turbine at time t, and are the upper / lower limits of load, PV and wind turbine fluctuations at time t, respectively;

[0022]

[0023] in, represents the upward flexibility demand generated by the net load of the cth grid at time t, represents the downward flexibility demand generated by the net load of the cth grid at time t.

[0024] As a preferred solution of the optimization method of the dynamic grid distribution network of the present invention, wherein: the flexibility supply analysis includes analyzing by adjusting the resource ramping capability and adjustable capacity of the power supply area;

[0025] When the output of the flexibility generated by the load is at time t1, the flexibility supply capacity generated by the load is affected by the climbing capacity;

[0026] When the output of the flexibility generated by the load is at time t3, the flexibility supply capacity generated by the load is affected by the climbing ability and the adjustable capacity.

[0027] As a preferred solution of the method for optimizing the dynamic grid distribution network of the present invention, wherein: the evaluation of the grid division effect of the power supply area planning after dynamic adjustment includes analyzing the state of the flexibility supply capacity, and the specific analysis process is as follows:

[0028] When the system output is in a moderate state at time t1, the flexibility supply capacity is only affected by the climbing capacity;

[0029] If the system output is in the state of upward or downward adjustment at time t2, the system's flexibility supply capacity is affected by the climbing ability and the regulating capacity;

[0030] If the system output is at the limit output state at time t3, the system only has the flexibility to supply power upward or downward.

[0031] As a preferred solution of the optimization method of the dynamic grid distribution network of the present invention, wherein: the dynamic grid distribution network includes a power supply side and a load side, the power supply side includes an upper main grid tie line, a gas turbine and an energy storage device, and the load side includes a controllable load that can be provided by a user;

[0032] The energy storage device of the gas turbine provides upward or downward flexibility adjustment capability by discharging and charging, the transferable load in the controllable load provides upward or downward flexibility adjustment capability by transferring out or transferring in load, and the upper main grid provides upward or downward flexibility adjustment capability by adjusting the power of the connecting line with the distribution network. The flexibility adjustment capability includes calculating the flexibility supply capability provided by the ESS to the distribution network at time t, calculating the output power of the gas turbine at node i at time t, and calculating the flexibility adjustment capability provided by the substation at node i to the distribution network at time t;

[0033] The formula for calculating the flexibility supply capacity provided by ESS to the distribution network at time t is:

[0034]

[0035] in, and They represent the upward or downward flexibility supply capacity provided by the ESS at node i to the distribution network at time t; and They represent the charging and discharging power of ESS at node i at time t; P i ch,max and P i dis,max They represent the maximum charging and discharging power of ESS at node i respectively; and They represent the maximum or minimum storage capacity of the ESS at node i respectively; represents the amount of electricity stored in the ESS at node i at time t; η ch and η dis Indicates the charging and discharging efficiency of ESS;

[0036] The formula for calculating the output power of the gas turbine at the node i at time t is:

[0037]

[0038] in, and are the upward or downward flexibility supply capacity provided by the gas turbine at node i to the distribution network at time t; represents the output power of the gas turbine at node i at time t;

[0039] The formula for calculating the flexibility regulation capability provided by the substation at node i to the distribution network at time t is:

[0040]

[0041] in, They represent the upward and downward flexibility regulation capabilities provided by the substation at node i to the distribution network at time t respectively; represents the power transmitted from the substation at node i to the distribution network at time t; Respectively represent the upper and lower limits of the ramp power of the substation at node i; P i sub,max represents the maximum value of power transmitted from the substation to the distribution network at node i;

[0042] The optimization and adjustment of the grid division effect includes integrating the dynamic grid distribution network, and the specific calculation formula of the integration is:

[0043]

[0044] in, and denote the upward and downward flexibility supply at time t in the cth grid, respectively, as well as They represent the installation node sets of substations, energy storage, gas turbines and transferable loads in the cth grid respectively.

[0045] As a preferred solution of the method for optimizing the dynamic grid distribution network of the present invention, wherein: the optimization of the dynamic grid distribution network includes constructing a comprehensive evaluation index of the flexibility of the distribution network, and the comprehensive evaluation index includes the flexibility margin of the dynamic grid distribution network and the branch flexibility margin of the dynamic grid distribution network;

[0046] The calculation formula of the flexibility margin of the dynamic grid distribution network is:

[0047]

[0048]

[0049]

[0050]

[0051] in, and denote the upward and downward flexibility requirements of the cth grid at time t, respectively, and denote the upward flexibility margin and downward flexibility margin of the cth grid at time t, respectively. and represent the upward and downward flexibility deficits of the cth grid at time t, respectively, and F flex,bal

[0052] c Indicates the flexibility deficit of the cth grid;

[0053] The calculation formula of the branch flexibility margin of the dynamic grid distribution network is:

[0054]

[0055] in, represents the branch set of grid c, N b represents the number of branches in the grid, represents the load rate of branch l in the cth grid at time t, L l,t represents the current flowing through branch l at time t, It indicates the maximum value of the current allowed to flow through branch l.

[0056] In a second aspect, an embodiment of the present invention provides an optimization system for a dynamic grid distribution network, which includes: a dynamic adjustment module, which divides the power supply area of ​​the dynamic grid distribution network, collects load characteristics and grid facility status data after the power supply area is divided, and dynamically adjusts the power supply area according to the collected results;

[0057] An optimization module evaluates the grid division effect of the power supply area planning after dynamic adjustment, optimizes and adjusts the grid division effect according to the evaluation results, and completes the closed-loop process of grid division;

[0058] The visualization processing module uses dynamic reliability to evaluate the closed-loop process of grid division, visualizes the evaluated closed-loop process through an autonomous geographic information system, monitors the visualization process, and completes the optimization of the dynamic grid distribution network.

[0059] In a third aspect, an embodiment of the present invention provides a computer device, including a memory and a processor, wherein the memory stores a computer program, wherein: when the processor executes the computer program, any step of the above-mentioned dynamic grid distribution network optimization method is implemented.

[0060] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program is executed by a processor, any step of the above-mentioned method for optimizing the dynamic grid distribution network is implemented.

[0061] The beneficial effects of the present invention are as follows: the present invention significantly improves the flexibility and efficiency of distribution network operation by implementing dynamic grid division and real-time optimization and adjustment, realizes the rational allocation and efficient utilization of power resources, and at the same time enhances the adaptability of the power grid to the access of renewable energy, improves the quality and reliability of power services, and provides strong technical support for promoting the development of smart grids. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. Among them:

[0063] Figure 1 A specific flow chart of a method and system for optimizing a dynamic grid distribution network provided by an embodiment of the present invention.

[0064] Figure 2 An optimization method for a dynamic grid distribution network and a flexibility demand analysis diagram of the system are provided in accordance with an embodiment of the present invention. DETAILED DESCRIPTION

[0065] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0066] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0067] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0068] The present invention is described in detail with reference to schematic diagrams. When describing the embodiments of the present invention, for the sake of convenience, the cross-sectional diagrams showing the device structure will not be partially enlarged according to the general scale, and the schematic diagrams are only examples, which should not limit the scope of protection of the present invention. In addition, in actual production, the three-dimensional dimensions of length, width and depth should be included.

[0069] At the same time, in the description of the present invention, it should be noted that the directions or positional relationships indicated by the terms "upper, lower, inner and outer" are based on the directions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore cannot be understood as limiting the present invention. In addition, the terms "first, second or third" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0070] In the present invention, unless otherwise clearly specified and limited, the terms "install, connect, connect" should be understood in a broad sense, for example: it can be a fixed connection, a detachable connection or an integral connection; it can also be a mechanical connection, an electrical connection or a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0071] Example 1

[0072] Reference Figure 1 and Figure 2 , which is the first embodiment of the present invention, and which provides a method for optimizing a dynamic grid distribution network, comprising:

[0073] S1: Divide the power supply area of ​​the dynamic grid distribution network, collect the load characteristics and current status data of the power supply area after the division, and dynamically adjust the power supply area according to the collected results.

[0074] Among them, the division of power supply areas includes dividing the entire power supply area according to geography, load characteristics and grid structure, adopting the idea of ​​weak centralization, taking the grid as the basic unit, and dividing each grid according to the basic division principle of equality at the control level. The process of the basic division principle is as follows:

[0075] Use the active and reactive reserve capacity within each grid to maintain voltage stability and power balance, establish isolated islands for each grid, and enable adjacent grids to share resources;

[0076] When each grid encounters a problem that it cannot solve itself during operation, the control range of each grid is dynamically adjusted by adjusting the open and closed states of the interconnection switches between grids and the segment switches within the grid.

[0077] Further, dynamically adjusting the power supply area according to the collected results includes collecting the load characteristics and the current status of the power grid facilities in each grid, and analyzing them according to the dynamic adjustment principle, the analysis includes the flexibility demand analysis and flexibility supply analysis of the grid distribution network, and the dynamic adjustment principle includes optimizing the grid division based on the calculation of the flexibility deficiency of the grid;

[0078] When the net load in each grid decreases, there is only downward flexibility demand;

[0079] When the net load in each grid increases, there is only upward flexibility demand;

[0080] When the net load variation range in each grid is between 0 and 1, there is a two-way flexibility demand, that is, both an upward flexibility demand and a downward flexibility demand;

[0081] The specific calculation formula for flexibility demand analysis is:

[0082]

[0083]

[0084]

[0085] in, as well as are the upward / downward flexibility requirements of load, PV and wind turbine at time t, and are the predicted values ​​of load, photovoltaic and wind turbine at time t, and are the upper / lower limits of load, PV and wind turbine fluctuations at time t, respectively;

[0086]

[0087] in, represents the upward flexibility demand generated by the net load of the cth grid at time t, represents the downward flexibility demand generated by the net load of the cth grid at time t.

[0088] S1.1: Flexibility supply analysis includes analysis by adjusting the resource ramping capability and adjustable capacity of the power supply area;

[0089] When the output of the flexibility generated by the load is at time t1, the flexibility supply capacity generated by the load is affected by the climbing capacity;

[0090] When the output of the flexibility generated by the load is at time t3, the flexibility supply capacity generated by the load is affected by the climbing ability and the adjustable capacity.

[0091] S2: Evaluate the grid division effect of the power supply area planning after dynamic adjustment, optimize and adjust the grid division effect according to the evaluation results, and complete the closed-loop process of grid division.

[0092] Among them, evaluating the grid division effect of the power supply area planning after dynamic adjustment includes analyzing the status of the flexible supply capacity. The specific analysis process is as follows:

[0093] When the system output is in a moderate state at time t1, the flexibility supply capacity is only affected by the climbing capacity;

[0094] If the system output is in the state of upward or downward adjustment at time t2, the system's flexibility supply capacity is affected by the climbing ability and the regulating capacity;

[0095] If the system output is at the limit output state at time t3, the system only has the flexibility to supply power upward or downward.

[0096] S3: Use dynamic reliability to evaluate the closed-loop process of grid division, visualize the evaluated closed-loop process through an autonomous geographic information system, monitor the visualization process, and complete the optimization of the dynamic grid distribution network.

[0097] The dynamic grid distribution network includes the power supply side and the load side. The power supply side includes the upper main grid tie line, gas turbine and energy storage device, and the load side includes the controllable load that the user can provide.

[0098] The energy storage device of the gas turbine provides upward or downward flexibility adjustment capability by discharging and charging, the transferable load in the controllable load provides upward or downward flexibility adjustment capability by transferring out or transferring in load, and the upper main grid provides upward or downward flexibility adjustment capability by adjusting the power of the interconnection line with the distribution network. The flexibility adjustment capability includes calculating the flexibility supply capability provided by the ESS to the distribution network at time t, calculating the output power of the gas turbine at node i at time t, and calculating the flexibility adjustment capability provided by the substation at node i to the distribution network at time t;

[0099] The formula for calculating the flexibility supply capacity provided by ESS to the distribution network at time t is:

[0100]

[0101] in, and They represent the upward or downward flexibility supply capacity provided by the ESS at node i to the distribution network at time t; and They represent the charging and discharging power of ESS at node i at time t; P i ch,max and P i dis ,max They represent the maximum charging and discharging power of ESS at node i respectively; and They represent the maximum or minimum storage capacity of the ESS at node i respectively; represents the amount of electricity stored in the ESS at node i at time t; η ch and η dis Indicates the charging and discharging efficiency of ESS;

[0102] The formula for calculating the output power of the gas turbine at node i at time t is:

[0103]

[0104] in, and are the upward or downward flexibility supply capacity provided by the gas turbine at node i to the distribution network at time t; represents the output power of the gas turbine at node i at time t;

[0105] The formula for calculating the flexibility regulation capability provided by the substation at node i to the distribution network at time t is:

[0106]

[0107] in, They represent the upward and downward flexibility regulation capabilities provided by the substation at node i to the distribution network at time t respectively; represents the power transmitted from the substation at node i to the distribution network at time t;

[0108] Respectively represent the upper and lower limits of the ramp power of the substation at node i; P i sub,max represents the maximum value of power transmitted from the substation to the distribution network at node i;

[0109] The optimization and adjustment of the grid division effect includes the integration of the dynamic grid distribution network. The specific calculation formula for the integration is:

[0110]

[0111] in, and denote the upward and downward flexibility supply at time t in the cth grid, respectively, as well as They represent the installation node sets of substations, energy storage, gas turbines and transferable loads in the cth grid respectively.

[0112] S3.1: The optimization of the dynamic grid distribution network includes constructing a comprehensive evaluation index of the flexibility of the distribution network, and the comprehensive evaluation index includes the flexibility margin of the dynamic grid distribution network and the branch flexibility margin of the dynamic grid distribution network;

[0113] The calculation formula of the flexibility margin of the dynamic grid distribution network is:

[0114]

[0115]

[0116]

[0117]

[0118] in, and denote the upward and downward flexibility requirements of the cth grid at time t, respectively, and denote the upward flexibility margin and downward flexibility margin of the cth grid at time t, respectively. and denote the upward and downward flexibility deficits of the cth grid at time t, respectively. Indicates the flexibility deficit of the cth grid;

[0119] The calculation formula for the branch flexibility margin of the dynamic grid distribution network is:

[0120]

[0121] in, represents the branch set of grid c, N b represents the number of branches in the grid, represents the load rate of branch l in the cth grid at time t, L l,t represents the current flowing through branch l at time t, It indicates the maximum value of the current allowed to flow through branch l.

[0122] In a preferred embodiment, a dynamic grid distribution network optimization system includes a dynamic adjustment module, which divides the power supply area of ​​the dynamic grid distribution network, collects load characteristics and grid facility status data after the power supply area is divided, and dynamically adjusts the power supply area according to the collection results; an optimization module, which evaluates the grid division effect of the power supply area planning after the dynamic adjustment, optimizes and adjusts the grid division effect according to the evaluation result, and completes the closed-loop process processing of the grid division; a visualization processing module, which uses dynamic reliability performance to evaluate the closed-loop process of grid division, visualizes the evaluated closed-loop process through an autonomous geographic information system, monitors the visualization process, and completes the optimization of the dynamic grid distribution network.

[0123] The above-mentioned unit modules may be embedded in or independent of a processor in a computer device in the form of hardware, or may be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to the above-mentioned modules.

[0124] The computer device may be a terminal, and the computer device includes a processor, a memory, a communication interface, a display screen and an input device connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. The display screen of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device may be a touch layer covering the display screen, or a key, trackball or touchpad provided on the housing of the computer device, or an external keyboard, touchpad or mouse, etc.

[0125] In summary, the present invention significantly improves the flexibility and efficiency of distribution network operation by implementing dynamic grid division and real-time optimization and adjustment, realizes the rational allocation and efficient utilization of power resources, and at the same time enhances the adaptability of the power grid to the access of renewable energy, improves the quality and reliability of power services, and provides strong technical support for promoting the development of smart grids.

[0126] Example 2

[0127] Reference Figure 1 and Figure 2 , which is the second embodiment of the present invention, and this embodiment provides an optimization method for a dynamic grid distribution network. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through simulation experiments.

[0128] The experimental process of the present invention first divides a city's distribution network into 20 dynamic grids, each of which covers an average power supply area of ​​about 5 square kilometers. At the beginning of the experiment, the load characteristics (including power consumption every 15 minutes) and the status of power grid facilities in each grid for 30 consecutive days were collected. Based on these data, the power supply area boundaries were analyzed and dynamically adjusted to ensure the load balance of each grid. Subsequently, the constructed flexibility demand and supply model was used to calculate the upward and downward flexibility demands of each grid in different time periods. The results showed that during peak power consumption periods (such as 18:00-20:00), the upward flexibility demand of some grids can reach 15% of the total load, while during the night valley period (such as 01:00-04:00), there is a significant downward flexibility demand, accounting for about 10%. The experiment further evaluated the grid division effect after dynamic adjustment. By comparing the system flexibility margin and branch flexibility margin before and after adjustment, it was found that the overall flexibility of the system after adjustment was improved by about 20%, and the average load rate of the branch was reduced from 75% to 70%, proving that the present invention can effectively improve the operating efficiency and reliability of the distribution network. The dynamic grid distribution network optimization experimental data is summarized in Table 1 below:

[0129] Table 1 Summary of dynamic grid distribution network optimization experimental data

[0130] Data Item Numeric Dynamic Grid Quantity 20 Average coverage area of ​​each grid About 5 square kilometers Load characteristic data collection cycle 30 consecutive days Load characteristic data collection frequency Every 15 minutes Peak hour upward flexibility demand ratio 15% of total load peak hours 18:00-20:00 Downward flexibility demand ratio during nighttime off-peak period 10% of total load Night low period 01:00-04:00 Improvement in system flexibility 20％ Before adjustment of branch average load factor 75％ After adjusting the average load factor of the branch 70％

[0131] The above table Dynamic Grid Distribution Network Optimization Experimental Data Summary Table shows the key data of the dynamic grid distribution network optimization in the experiment, including the number of dynamic grids, the average coverage area of ​​each grid, the collection cycle and frequency of load characteristic data, and the flexibility demand ratio during peak and off-peak periods. By dynamically adjusting the power supply area, the experimental results show that the overall flexibility of the system is improved by 20%, and the average load rate of the branch is reduced from 75% to 70%, which effectively verifies the significant effect of the present invention in improving the operating efficiency and reliability of the distribution network, and is compared with the prior art as shown in Table 2 below:

[0132] Table 2 Comparison with prior art

[0133]

[0134] The above table compares the performance of the technical solution of the present invention with the prior art in multiple key aspects. The results show that the present invention can adapt to load changes more flexibly through dynamic grid division and high-frequency data collection, establish a detailed flexibility demand and supply model, significantly improve the overall flexibility of the system (about 20%), and effectively reduce the branch load rate (from 75% to 70%). In addition, the present invention also shows a stronger ability to adapt to renewable energy access and resource allocation rationality, and effectively solves the problems of unreasonable resource allocation and poor adaptability in the prior art. In general, the present invention has obvious advantages in improving the operating efficiency and reliability of the distribution network.

[0135] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for optimizing a dynamic grid distribution network, characterized in that: include, Divide the power supply area of ​​the dynamic grid distribution network, collect the load characteristics and current status data of the power supply area after the power supply area is divided, and dynamically adjust the power supply area according to the collected results; Evaluate the grid division effect of the power supply area planning after dynamic adjustment, optimize and adjust the grid division effect according to the evaluation results, and complete the closed-loop process of grid division; The closed-loop process of grid division is evaluated by dynamic reliability, and the evaluated closed-loop process is visualized through an autonomous geographic information system. The visualized process is monitored to complete the optimization of the dynamic grid distribution network.

2. The method for optimizing a dynamic grid distribution network according to claim 1, characterized in that: The power supply area division includes dividing the entire power supply area according to geography, load characteristics and grid structure, adopting the weak centralization idea, taking the grid as the basic unit, and each grid is divided according to the basic division principle of equality at the control level. The process of the basic division principle is as follows: Use the active and reactive reserve capacity within each grid to maintain voltage stability and power balance, establish isolated islands for each grid, and enable adjacent grids to share resources; When each grid encounters a problem that it cannot solve itself during operation, the control range of each grid is dynamically adjusted by adjusting the open and closed states of the interconnection switches between grids and the segment switches within the grid.

3. The method for optimizing a dynamic grid distribution network according to claim 2, characterized in that: The dynamically adjusting the power supply area according to the collected results includes collecting the load characteristics and grid facility status data in each grid, and analyzing them according to the dynamic adjustment principle, wherein the analysis includes flexibility demand analysis and flexibility supply analysis of the grid distribution network, and the dynamic adjustment principle includes optimizing grid division based on grid flexibility deficiency calculation; When the net load in each grid decreases, there is only downward flexibility demand; When the net load in each grid increases, there is only upward flexibility demand; When the net load variation range in each grid is between 0 and 1, there is a two-way flexibility demand, that is, both an upward flexibility demand and a downward flexibility demand; The specific calculation formula for the flexibility demand analysis is: in, as well as are the upward / downward flexibility requirements of load, PV and wind turbine at time t, and are the predicted values ​​of load, photovoltaic and wind turbine at time t, and are the upper / lower limits of load, PV and wind turbine fluctuations at time t, respectively; in, represents the upward flexibility demand generated by the net load of the cth grid at time t, represents the downward flexibility demand generated by the net load of the cth grid at time t.

4. The method for optimizing a dynamic grid distribution network according to claim 3, characterized in that: The flexibility supply analysis includes analyzing by adjusting the resource ramping capability and adjustable capacity of the power supply area; When the output of the flexibility generated by the load is at time t1, the flexibility supply capacity generated by the load is affected by the climbing capacity; When the output of the flexibility generated by the load is at time t3, the flexibility supply capacity generated by the load is affected by the climbing ability and the adjustable capacity.

5. The method for optimizing a dynamic grid distribution network according to claim 4, characterized in that: The evaluation of the grid division effect of the power supply area planning after dynamic adjustment includes analyzing the state of the flexible supply capacity. The specific analysis process is as follows: When the system output is in state time t1, the flexibility supply capacity is only affected by the climbing capacity; If the system output is in the state of upward or downward adjustment at time t2, the system's flexibility supply capacity is affected by the climbing ability and the regulating capacity; If the system output is at the limit output state at time t3, the system only has the flexibility to supply power upward or downward.

6. The method for optimizing a dynamic grid distribution network according to claim 5, characterized in that: The dynamic grid distribution network includes a power supply side and a load side, wherein the power supply side includes an upper main grid tie line, a gas turbine and an energy storage device, and the load side includes a controllable load that can be provided by a user; The energy storage device of the gas turbine provides upward or downward flexibility adjustment capability by discharging and charging, the transferable load in the controllable load provides upward or downward flexibility adjustment capability by transferring out or transferring in load, and the upper main grid provides upward or downward flexibility adjustment capability by adjusting the power of the connecting line with the distribution network. The flexibility adjustment capability includes calculating the flexibility supply capability provided by the ESS to the distribution network at time t, calculating the output power of the gas turbine at node i at time t, and calculating the flexibility adjustment capability provided by the substation at node i to the distribution network at time t; The formula for calculating the flexibility supply capacity provided by ESS to the distribution network at time t is: in, and They represent the upward or downward flexibility supply capacity provided by the ESS at node i to the distribution network at time t; and They represent the charging and discharging power of ESS at node i at time t; P i ch,max and P i dis,max They represent the maximum charging and discharging power of ESS at node i respectively; and They represent the maximum or minimum storage capacity of the ESS at node i respectively; represents the amount of electricity stored in the ESS at node i at time t; η ch and η dis Indicates the charging and discharging efficiency of ESS; The formula for calculating the output power of the gas turbine at the node i at time t is: in, and are the upward or downward flexibility supply capacity provided by the gas turbine at node i to the distribution network at time t; represents the output power of the gas turbine at node i at time t; The formula for calculating the flexibility regulation capability provided by the substation at node i to the distribution network at time t is: in, They represent the upward and downward flexibility regulation capabilities provided by the substation at node i to the distribution network at time t respectively; represents the power transmitted from the substation at node i to the distribution network at time t; Respectively represent the upper and lower limits of the ramp power of the substation at node i; P i sub,max represents the maximum value of power transmitted from the substation to the distribution network at node i; The optimization and adjustment of the grid division effect includes integrating the dynamic grid distribution network, and the specific calculation formula of the integration is: in, and denote the upward and downward flexibility supply at time t in the cth grid, respectively, as well as They represent the installation node sets of substations, energy storage, gas turbines and transferable loads in the cth grid respectively.

7. The method for optimizing a dynamic grid distribution network according to claim 6, characterized in that: The optimization of the dynamic grid distribution network includes constructing a comprehensive evaluation index of the flexibility of the distribution network, wherein the comprehensive evaluation index includes the flexibility margin of the dynamic grid distribution network and the branch flexibility margin of the dynamic grid distribution network; The calculation formula of the flexibility margin of the dynamic grid distribution network is: in, and denote the upward and downward flexibility requirements of the cth grid at time t, respectively, and denote the upward flexibility margin and downward flexibility margin of the cth grid at time t, respectively. and denote the upward and downward flexibility deficits of the cth grid at time t, respectively. Indicates the flexibility deficit of the cth grid; The calculation formula of the branch flexibility margin of the dynamic grid distribution network is: in, represents the branch set of grid c, N b represents the number of branches in the grid, represents the load rate of branch l in the cth grid at time t, L l,t represents the current flowing through branch l at time t, It indicates the maximum value of the current allowed to flow through branch l.

8. A dynamic grid distribution network optimization system, based on the dynamic grid distribution network optimization method according to any one of claims 1 to 7, characterized in that: include, A dynamic adjustment module divides the power supply area of ​​the dynamic grid distribution network, collects the load characteristics and current status data of the power supply area after the power supply area is divided, and dynamically adjusts the power supply area according to the collected results; An optimization module evaluates the grid division effect of the power supply area planning after dynamic adjustment, optimizes and adjusts the grid division effect according to the evaluation results, and completes the closed-loop process of grid division; The visualization processing module uses dynamic reliability to evaluate the closed-loop process of grid division, visualizes the evaluated closed-loop process through an autonomous geographic information system, monitors the visualization process, and completes the optimization of the dynamic grid distribution network.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method for optimizing the dynamic grid distribution network according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for optimizing the dynamic grid distribution network according to any one of claims 1 to 7 are implemented.

Images