Cross-regional channel residual power transmission capacity evaluation method considering multi-factor association and related system

Abstract

The invention belongs to the field of electric power system dispatching plans, and discloses a multi-factor association-considered cross-regional channel residual power transmission capacity evaluation method and a related system, which are based on real-time operation data of cross-regional channels and cover key elements such as sending end power supply output, receiving end load change, equipment limitation and a coupling relationship between channels. And dynamic characteristics influencing the power transmission capability can be comprehensively captured. The data used by the method has timeliness and dynamics, so that the capability evaluation result can reflect the operation state of the power grid in real time, and is more accurate and reliable. According to the method, the maximum power transmission capacity objective function capable of comprehensively describing various operation factors is constructed, and the constraint conditions meeting the safety and stability requirements of the power grid are introduced on the basis, so that the association relationship among different operation factors can be quantitatively expressed, and the evaluation deviation caused by neglecting a key physical mechanism is effectively avoided.

Description

Technical Field

[0001] This invention belongs to the field of power system dispatching and planning, specifically involving a method and related system for assessing the remaining transmission capacity of inter-regional transmission channels that considers multiple factors. Background Technology

[0002] With the continued deepening of power market reforms, the scale of inter-regional power transactions has expanded rapidly, making the available transmission capacity of inter-regional transmission channels increasingly crucial in market clearing. In traditional power grid operation practices, transmission channels typically participate in market clearing according to preset fixed static limits. However, this approach fails to accurately reflect the real-time operating characteristics of the power grid. For example, the power generation structure at the sending end, the load level at the receiving end, and the coupling relationships between different transmission channels all change dynamically in actual operation. Static limits cannot fully reflect these factors, easily leading to unreasonable market clearing boundaries and even affecting the fairness and economy of inter-regional power transactions.

[0003] In the current market mechanism, market clearing and grid safety verification are often carried out in stages: first, market clearing is conducted based on quotas, and then grid dispatch verifies safety. Due to the lack of a unified transmission capacity quantification mechanism that runs through market transactions and physical operation, there may be discrepancies between the clearing results and the actual operable capacity, further exacerbating the mismatch between inter-regional transmission and reception characteristics.

[0004] Existing studies have attempted to incorporate the available capacity of transmission channels into cross-regional spot trading models and to constrain issues such as renewable energy consumption and power flow optimization. However, these methods are mostly based on single or partial factors and have failed to model the correlation between various operating conditions such as the number of generating units in operation at the sending end, the available output of the units, the load level at the receiving end, and channel coupling. Furthermore, they lack a complete process from information collection to available capacity calculation.

[0005] Therefore, existing technologies have not yet established a method for quantifying the available transmission capacity of inter-regional power transmission channels that can comprehensively reflect the dynamic correlation of multiple factors and can be directly used for market clearing. Summary of the Invention

[0006] The purpose of this invention is to overcome the problem that the existing technology has failed to establish a quantitative mechanism for available transmission capacity based on the dynamic correlation of multiple factors, making it difficult to support the unified matching of market clearing and grid operation. The invention provides a method and related system for assessing the remaining transmission capacity of inter-regional channels that considers the correlation of multiple factors.

[0007] To achieve the above objectives, the present invention adopts the following technical solution: In a first aspect, the present invention provides a method for assessing the remaining transmission capacity of inter-regional transmission corridors considering multiple factors, comprising the following steps: Obtain real-time data for cross-regional channels; Based on real-time data from inter-regional transmission corridors, an objective function is constructed to calculate the maximum transmission capacity of these corridors. Establish the required constraints and solve the objective function used to calculate the maximum transmission capacity of the inter-regional channel to obtain the transmission capacity data of the inter-regional channel considering multiple factors. Obtain real-time data of inter-regional transmission corridors, calculate the used transmission capacity of inter-regional transmission corridors, and calculate the remaining transmission capacity of inter-regional transmission corridors based on the transmission capacity data of inter-regional transmission corridors considering multiple factors and the used transmission capacity of inter-regional transmission corridors, thus completing the assessment of the remaining transmission capacity of inter-regional transmission corridors.

[0008] A further improvement of this invention is that the real-time data of the inter-regional transmission corridor includes the inter-regional transmission corridor power grid model architecture, the transmission capacity data of the inter-regional transmission corridor power grid model, power trading data, and distribution coefficients.

[0009] A further improvement of this invention lies in the following method for constructing an objective function for calculating the maximum transmission capacity of inter-regional transmission channels based on real-time data: Obtain the inter-regional power grid model architecture and transmission capacity data of the inter-regional power transmission corridor, and establish an objective function that maximizes the maximum transmission capacity of the inter-regional power transmission corridor at all times, which is used as the objective function to calculate the maximum transmission capacity of the inter-regional power transmission corridor.

[0010] A further improvement of this invention lies in the following method for establishing the required constraints and solving the objective function used to calculate the maximum transmission capacity of the inter-regional transmission corridor, thereby obtaining the transmission capacity data of the inter-regional transmission corridor considering multiple factors: Establish a constraint on the number of generating units to be started at the sending end based on the maximum transmission capacity of the inter-regional channel and the number of generating units to be started at the sending end. Establish receiving-end load level constraints based on the maximum transmission capacity of the inter-regional corridor and the receiving-end load level; Establish operating capacity constraints based on the maximum transmission capacity of the inter-regional channel and the operating capacity of the generating units at the sending or receiving end; Based on the coupling relationship between the transmission capacity of inter-regional channels, establish the span constraints between inter-regional channels; Based on the constraints of the number of generating units started at the sending end, the load level at the receiving end, the starting capacity, and the span constraints between inter-regional channels, the objective function is solved to obtain the inter-regional transmission capacity data considering multiple factors.

[0011] A further improvement of this invention lies in acquiring real-time data of inter-regional transmission corridors, calculating the used transmission capacity of inter-regional transmission corridors, and calculating the remaining transmission capacity of inter-regional transmission corridors based on the transmission capacity data of inter-regional transmission corridors considering multiple factors and the used transmission capacity of inter-regional transmission corridors. The specific method for completing the assessment of the remaining transmission capacity of inter-regional transmission corridors is as follows: Obtain power transaction data and distribution coefficients from real-time data of inter-regional transmission channels, and calculate the used transmission capacity of inter-regional transmission channels based on power transaction data and distribution coefficients; Based on the cross-regional transmission capacity data considering various factors, the maximum transmission capacity data of the cross-regional transmission channel is obtained. Combined with the used transmission capacity, the remaining transmission capacity of the cross-regional transmission channel is calculated, and the assessment of the remaining transmission capacity of the cross-regional transmission channel is completed.

[0012] Secondly, the present invention provides a system for assessing the remaining transmission capacity of inter-regional transmission corridors that considers multiple factors, including: The data acquisition module is used to acquire real-time data from cross-regional channels; The objective function construction module is used to construct an objective function for calculating the maximum transmission capacity of the inter-regional transmission channel based on real-time data from the inter-regional transmission channel. The constraint construction module is used to establish the required constraints and solve the objective function used to calculate the maximum transmission capacity of the inter-regional channel, so as to obtain the transmission capacity data of the inter-regional channel considering multiple factors. The data calculation module is used to acquire real-time data of the cross-regional transmission corridor, calculate the used transmission capacity of the cross-regional transmission corridor, and calculate the remaining transmission capacity of the cross-regional transmission corridor based on the transmission capacity data of the cross-regional transmission corridor considering various factors and the used transmission capacity of the cross-regional transmission corridor, thus completing the assessment of the remaining transmission capacity of the cross-regional transmission corridor.

[0013] A further improvement of this invention is that the data acquisition module's function is implemented through the following method: The system acquires the cross-regional power grid model architecture, transmission capacity data, power trading data, and distribution coefficients of the cross-regional power grid model as real-time data for the cross-regional corridor.

[0014] A further improvement of this invention is that the functionality of the objective function construction module is implemented through the following method: Obtain the inter-regional power grid model architecture and transmission capacity data of the inter-regional power transmission corridor, and establish an objective function that maximizes the maximum transmission capacity of the inter-regional power transmission corridor at all times, which is used as the objective function to calculate the maximum transmission capacity of the inter-regional power transmission corridor.

[0015] A further improvement of this invention is that the function of the constraint construction module is implemented through the following method: Establish a constraint on the number of generating units to be started at the sending end based on the maximum transmission capacity of the inter-regional channel and the number of generating units to be started at the sending end. Establish receiving-end load level constraints based on the maximum transmission capacity of the inter-regional corridor and the receiving-end load level; Establish operating capacity constraints based on the maximum transmission capacity of the inter-regional channel and the operating capacity of the generating units at the sending or receiving end; Based on the coupling relationship between the transmission capacity of inter-regional channels, establish the span constraints between inter-regional channels; Based on the constraints of the number of generating units started at the sending end, the load level at the receiving end, the starting capacity, and the span constraints between inter-regional channels, the objective function is solved to obtain the inter-regional transmission capacity data considering multiple factors.

[0016] A further improvement of this invention is that the function of the data calculation module is implemented through the following method: Obtain power transaction data and distribution coefficients from real-time data of inter-regional transmission channels, and calculate the used transmission capacity of inter-regional transmission channels based on power transaction data and distribution coefficients; Based on the cross-regional transmission capacity data considering various factors, the maximum transmission capacity data of the cross-regional transmission channel is obtained. Combined with the used transmission capacity, the remaining transmission capacity of the cross-regional transmission channel is calculated, and the assessment of the remaining transmission capacity of the cross-regional transmission channel is completed.

[0017] Thirdly, the present invention provides an electronic device including a memory and a processor, the memory storing a computer program, wherein the processor, when executing the computer program, implements steps involving a method for assessing the remaining transmission capacity of cross-regional transmission channels that considers multiple factors.

[0018] Fourthly, the present invention provides a storage medium having a computer program stored thereon, characterized in that, when the computer program is executed by a processor, it implements steps involving a method for assessing the remaining transmission capacity of cross-regional transmission channels that takes into account multiple factors.

[0019] Compared with the prior art, the present invention has the following beneficial effects: This invention is based on real-time operational data of inter-regional transmission corridors, encompassing key elements such as power output at the sending end, load changes at the receiving end, equipment limitations, and coupling relationships between corridors. It comprehensively captures the dynamic characteristics affecting transmission capacity. Compared to traditional static quotas that rely solely on long-term experience or fixed boundary conditions, the data used in this invention is timely and dynamic, enabling the capacity assessment results to reflect the grid's operational status in real time, making them more accurate and reliable. This invention constructs a maximum transmission capacity objective function that comprehensively characterizes multiple operational factors, and introduces constraints that meet grid safety and stability requirements. This allows for a quantitative expression of the correlation between different operational factors, effectively avoiding assessment biases caused by neglecting key physical mechanisms in traditional methods. Furthermore, the transmission capacity data obtained through optimization no longer depends on fixed quotas but is a dynamic capacity quantification value generated based on real-time physical conditions, ensuring that available transmission capacity naturally matches the physical grid during market clearing. This invention introduces real-time calculation of used transmission capacity, allowing the assessment of remaining transmission capacity to be based not only on theoretical available capacity but also on deductions and verifications based on actual trading occupancy. This effectively avoids the problem of triggering large-scale adjustments due to insufficient capacity after market clearing. By dynamically assessing remaining transmission capacity, dispatching departments and market institutions can anticipate the risk of congestion in inter-regional corridors and take corresponding optimization measures to improve market operation efficiency. In summary, this invention connects the entire chain of data acquisition, dynamic capacity calculation, capacity occupancy analysis, and remaining capacity assessment, constructing a unified and real-time transmission capacity quantification mechanism that directly serves market clearing. It solves core problems in existing technologies such as missing multi-factor correlations, insufficient dynamism, and the disconnect between physical operation and market mechanisms. It provides more scientific, accurate, and operable transmission capacity constraints for inter-regional transactions, helping to improve the fairness of inter-regional transactions, enhance renewable energy transmission capacity, improve system economic operation, and significantly improve the consistency between market clearing and grid safety verification. Attached Figure Description

[0020] Figure 1 This is a flowchart of the present invention; Figure 2 This is a system diagram of the present invention; Figure 3 This is a system diagram for Example 4. Detailed Implementation

[0021] To further understand the content of this invention, the invention will be described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the embodiments are merely illustrative and not limiting of the invention.

[0022] Example 1: See Figure 1The method for assessing the remaining transmission capacity of inter-regional transmission corridors, which considers multiple factors, includes the following steps: S1, obtain real-time data of the cross-regional channel.

[0023] S2, based on real-time data from the inter-regional transmission corridor, construct an objective function to calculate the maximum transmission capacity of the inter-regional transmission corridor.

[0024] S3. Establish the required constraints and solve the objective function used to calculate the maximum transmission capacity of the inter-regional channel to obtain the transmission capacity data of the inter-regional channel considering multiple factors.

[0025] S4. Obtain real-time data of the inter-regional transmission corridor, calculate the used transmission capacity of the inter-regional transmission corridor, and calculate the remaining transmission capacity of the inter-regional transmission corridor based on the transmission capacity data of the inter-regional transmission corridor considering multiple factors and the used transmission capacity of the inter-regional transmission corridor, thus completing the assessment of the remaining transmission capacity of the inter-regional transmission corridor.

[0026] Example 2: See Figure 2 This involves an assessment system for the remaining transmission capacity of inter-regional transmission corridors that considers multiple factors, including: The data acquisition module is used to acquire real-time data from cross-regional channels.

[0027] The objective function construction module is used to construct an objective function for calculating the maximum transmission capacity of inter-regional transmission channels based on real-time data from the inter-regional transmission channels.

[0028] The constraint construction module is used to establish the required constraints and solve the objective function used to calculate the maximum transmission capacity of the inter-regional channel, so as to obtain the transmission capacity data of the inter-regional channel considering multiple factors.

[0029] The data calculation module is used to acquire real-time data of the cross-regional transmission corridor, calculate the used transmission capacity of the cross-regional transmission corridor, and calculate the remaining transmission capacity of the cross-regional transmission corridor based on the transmission capacity data of the cross-regional transmission corridor considering various factors and the used transmission capacity of the cross-regional transmission corridor, thus completing the assessment of the remaining transmission capacity of the cross-regional transmission corridor.

[0030] Example 3: This embodiment includes the following steps: Step 1: Obtain real-time data for inter-regional transmission corridors. This real-time data includes the power grid model architecture of the inter-regional transmission corridor, the transmission capacity data of the power grid model, power trading data, and distribution coefficients.

[0031] Step 2: Based on real-time data from the inter-regional transmission corridor, construct an objective function to calculate the maximum transmission capacity of the corridor.

[0032] The objective function is to maximize the inter-regional power transmission channel's performance in...t Maximum transmission capacity at any given time, combined T For time sets, select 24 hours or 96 minutes based on the actual situation.

[0033] Step 3: Establish constraints as needed. Constraints include: The number of generating units operating at the sending end is a constraint. The maximum transmission capacity of some inter-regional transmission channels is related to the number of generating units operating at the sending end. Generally, the more generating units operating at the sending end, the greater the transmission capacity of the inter-regional transmission channel. The relationship is as follows:

[0034]

[0035] in, for t Sending time terminal N Total number of units in operation; For the first i The startup status of each unit is represented by an integer variable between 0 and 1. N For the assembly of generator units; When the total number of sending-end units is started is N The inter-regional power transmission capacity at any given time is a constant. This can be achieved by introducing an auxiliary variable. The above equation can be transformed into a mixed-integer linear programming constraint for solution, as shown in the following equation:

[0036] in, For auxiliary 0-1 integer variables.

[0037] Due to load level constraints at the receiving end, the maximum transmission capacity of some inter-regional transmission corridors is related to the load level at the receiving end. Generally, the higher the load level at the receiving end, the greater the transmission capacity of the inter-regional transmission corridor, as shown in the following formula:

[0038] in, for t Constant receiving end load level, m This represents the number of intervals corresponding to the load level. and These are the load levels corresponding to different load levels. The upper and lower limits of the value range are known quantities. An auxiliary variable is introduced. The above equation is transformed into a mixed-integer linear programming constraint for solution, as shown in the following equation:

[0039] in, It is a natural number, usually 1.2 times the upper limit of its range. For auxiliary 0-1 integer variables.

[0040] Due to capacity constraints, the maximum transmission capacity of some inter-regional transmission corridors is related to the operating capacity of the generating units at the sending or receiving end. Generally, the larger the operating capacity, the greater the transmission capacity of the inter-regional transmission corridor, as shown in the following formula:

[0041]

[0042] in, For the first i The operating capacity of each unit for t Unit operating capacity at any given time and Corresponding to different boot capacity The upper and lower limits of the value range are known quantities. An auxiliary variable is introduced. The above equation is transformed into a mixed-integer linear programming constraint for solution, as shown in the following equation:

[0043] in, For auxiliary 0-1 integer variables.

[0044] Inter-regional transmission corridors have capacity constraints, and some corridors exhibit coupling capacity relationships, such as a "seesaw" relationship. For example, the larger the transmission capacity of one corridor, the smaller the transmission capacity of another, as shown in the following formula:

[0045] in, and They are respectively t The maximum transmission capacity of inter-regional transmission corridors and their corresponding transmission capacities are constantly affected. This represents the maximum transmission capacity after being affected by other inter-regional transmission lines. This is determined by introducing auxiliary variables. The above equation is transformed into a mixed-integer linear programming constraint for solution, as shown in the following equation:

[0046] in, For auxiliary 0-1 integer variables.

[0047] The objective function is solved by considering the constraints on the number of generating units started at the sending end, the load level at the receiving end, the capacity of generating units, and the span constraints between inter-regional channels, so as to obtain the inter-regional transmission capacity data that takes into account multiple factors.

[0048] Step 4: Obtain the power trading data and distribution coefficient from the real-time data of the inter-regional transmission corridor, and calculate the used transmission capacity of the inter-regional transmission corridor. The calculation formula is as follows:

[0049] in, It represents the used transmission capacity of inter-regional transmission channel i at time t. This is the jth medium-to-long-term power transaction that has passed verification on transmission channel i. It is the distribution coefficient of the j-th transaction passing through the inter-regional channel i, which can be calculated using the power grid model.

[0050] Step 5: Based on the cross-regional transmission capacity data considering various factors, obtain the maximum transmission capacity data of the cross-regional transmission corridor. Combined with the used transmission capacity, calculate the remaining transmission capacity of the cross-regional transmission corridor. The calculation formula is as follows:

[0051] In the formula, It is the remaining transmission capacity of transmission channel i. It is an emergency capacity reserved to cope with temporary fluctuations in load and equipment, and is usually set in advance by the operators.

[0052] This embodiment constructs a complete calculation process for the remaining transmission capacity of inter-regional transmission corridors, from data acquisition, model building, optimization solution to result verification, achieving standardization and systematization of inter-regional transmission capacity assessment. Traditional technologies often handle transmission capacity calculation, occupancy capacity analysis, and remaining capacity estimation separately, lacking unified logic and calculation interfaces between each stage, which easily leads to inconsistent standards, incomparable results, and difficulty in supporting systematic applications. This embodiment, by standardizing the maximum transmission capacity calculation model, clearly defining the constraint system, and unifying the remaining capacity deduction method, forms a repeatable, transferable, and automated calculation link, providing a unified basis for power market institutions, grid dispatching departments, and information system development. When subsequently building market clearing auxiliary decision-making systems, transmission capacity dynamic assessment platforms, or inter-regional transaction security verification tools, this embodiment can be directly embedded, achieving standardized and modular calls, significantly improving the consistency of business management and the scalability of technical implementation.

[0053] This embodiment significantly improves the accuracy of the boundary conditions for power market clearing, transforming transmission channel capacity constraints from static empirical values ​​to dynamic physical quantification values. By calculating the maximum transmittable capacity of inter-regional channels in real time, key elements such as sending-end unit combination, receiving-end load distribution, equipment limits, and channel coupling factors are incorporated into a unified optimization framework, making the acquisition of maximum capacity more closely reflect actual operating conditions. Simultaneously, during the calculation of remaining transmission capacity, this embodiment performs real-time deduction and verification of used transmission capacity, ensuring that available capacity accurately reflects market transaction occupancy and avoiding problems such as frequent triggering of scheduling verification and re-optimization after clearing due to improper static limit settings. Furthermore, the distribution coefficient is accurately calculated based on the actual grid topology and power flow distribution, avoiding capacity errors caused by empirical estimations, making the clearing constraints more aligned with the requirements for safe and stable grid operation. Overall, this embodiment significantly improves the accuracy, reliability, and real-time performance of inter-regional transmission capacity constraints, contributing to improved executability of market clearing results and grid operation safety margins, providing solid data and model support for building a unified power market.

[0054] Example 4: See Figure 3 The present invention also provides an electronic device 100 relating to a method for assessing the remaining transmission capacity of inter-regional transmission channels that takes into account multiple factors; the electronic device 100 includes a memory 101, at least one processor 102, a computer program 103 stored in the memory 101 and executable on the at least one processor 102, and at least one communication bus 104.

[0055] The memory 101 can be used to store the computer program 103. The processor 102 implements the steps of the method for assessing the remaining transmission capacity of cross-regional channels considering multiple factors, as described in Embodiment 1, by running or executing the computer program stored in the memory 101 and calling the data stored in the memory 101. The memory 101 may mainly include a program storage area and a data storage area. The program storage area may store the operating system, at least one application program required for a function (such as sound playback function, image playback function, etc.), etc.; the data storage area may store data created based on the use of the electronic device 100 (such as audio data), etc. In addition, the memory 101 may include non-volatile memory, such as hard disk, memory, plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, at least one disk storage device, flash memory device, or other non-volatile solid-state storage device.

[0056] The at least one processor 102 may be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The processor 102 may be a microprocessor or any conventional processor. The processor 102 is the control center of the electronic device 100, connecting various parts of the electronic device 100 via various interfaces and lines.

[0057] The memory 101 in the electronic device 100 stores a plurality of instructions to implement a method for assessing the remaining transmission capacity of cross-regional channels that considers multiple factors, and the processor 102 can execute the plurality of instructions to achieve the following: Obtain real-time data for cross-regional channels; Based on real-time data from inter-regional transmission corridors, an objective function is constructed to calculate the maximum transmission capacity of these corridors. Establish the required constraints and solve the objective function used to calculate the maximum transmission capacity of the inter-regional channel to obtain the transmission capacity data of the inter-regional channel considering multiple factors. Obtain real-time data of inter-regional transmission corridors, calculate the used transmission capacity of inter-regional transmission corridors, and calculate the remaining transmission capacity of inter-regional transmission corridors based on the transmission capacity data of inter-regional transmission corridors considering multiple factors and the used transmission capacity of inter-regional transmission corridors, thus completing the assessment of the remaining transmission capacity of inter-regional transmission corridors.

[0058] Example 5: If the modules / units integrated in the electronic device 100 are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a portable hard drive, a magnetic disk, an optical disk, a computer memory, and a read-only memory (ROM).

[0059] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied 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.

[0060] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0061] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0062] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0063] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for evaluating the remaining power transmission capability of a cross-zone path considering multi-factor correlation, characterized in that, The method comprises the following steps: acquiring real-time data of the cross-region channel; constructing a target function for calculating the maximum power transmission capacity of the cross-region channel according to the real-time data of the cross-region channel; establishing constraint conditions as required and solving the target function for calculating the maximum power transmission capacity of the cross-region channel to obtain cross-region channel power transmission capacity data considering multiple factors; acquiring real-time data of the cross-region channel, calculating the used power transmission capacity of the cross-region channel, calculating the residual power transmission capacity of the cross-region channel according to the cross-region channel power transmission capacity data considering multiple factors and the used power transmission capacity of the cross-region channel, and completing the residual power transmission capacity evaluation of the cross-region channel. 2.The method for evaluating the cross-zone passage residual power transmission capacity considering multi-factor correlation according to claim 1, wherein, The real-time data of the cross-region channel comprises a cross-region channel power grid model architecture, cross-region channel power grid model power transmission capacity data, power transaction data and a distribution coefficient. 3.The method for evaluating the cross-zone passage residual power transmission capacity considering multi-factor correlation according to claim 1, wherein, The specific method for constructing the target function for calculating the maximum power transmission capacity of the cross-region channel according to the real-time data of the cross-region channel is as follows: acquiring the cross-region channel power grid model architecture and the cross-region channel power grid model power transmission capacity data of the cross-region channel, establishing a target function for maximizing the maximum power transmission capacity of the cross-region transmission channel at all times as the target function for calculating the maximum power transmission capacity of the cross-region channel. 4.The method for evaluating the cross-zone passage residual power transmission capacity considering multi-factor correlation according to claim 1, wherein, The specific method for establishing constraint conditions as required and solving the target function for calculating the maximum power transmission capacity of the cross-region channel to obtain cross-region channel power transmission capacity data considering multiple factors is as follows: establishing a sending end machine number constraint according to the maximum power transmission capacity of the cross-region channel and the number of sending end machine start-ups; establishing a receiving end load level constraint according to the maximum power transmission capacity of the cross-region channel and the receiving end load level; establishing a machine start-up capacity constraint according to the maximum power transmission capacity of the cross-region channel and the machine start-up capacity of the sending end or the receiving end; establishing a cross-region channel level constraint according to the coupling level relationship between the cross-region channel power transmission capacities; solving the target function according to the sending end machine number constraint, the receiving end load level constraint, the machine start-up capacity constraint and the cross-region channel level constraint to obtain the cross-region channel power transmission capacity data considering multiple factors. 5.The method for evaluating the cross-zone passage residual power transmission capacity considering multi-factor correlation according to claim 1, wherein, The specific method for acquiring real-time data of the cross-region channel, calculating the used power transmission capacity of the cross-region channel, calculating the residual power transmission capacity of the cross-region channel according to the cross-region channel power transmission capacity data considering multiple factors and the used power transmission capacity of the cross-region channel, and completing the residual power transmission capacity evaluation of the cross-region channel is as follows: acquiring the power transaction data and the distribution coefficient in the real-time data of the cross-region channel, and calculating the used power transmission capacity of the cross-region channel according to the power transaction data and the distribution coefficient; acquiring the maximum power transmission capacity data of the cross-region channel according to the cross-region channel power transmission capacity data considering multiple factors, combining the used power transmission capacity, calculating the residual power transmission capacity of the cross-region channel, and completing the residual power transmission capacity evaluation of the cross-region channel.

6. A system for assessing cross-zone transmission residual power capability considering multi-factor correlation, characterized in that, The method comprises the following steps: a data acquisition module for acquiring real-time data of the cross-region channel; a target function construction module for constructing a target function for calculating the maximum power transmission capacity of the cross-region channel according to the real-time data of the cross-region channel; a constraint condition construction module for establishing constraint conditions as required and solving the target function for calculating the maximum power transmission capacity of the cross-region channel to obtain cross-region channel power transmission capacity data considering multiple factors; The data calculation module is configured to acquire real-time data of the cross-region channel, calculate used power transmission capacity of the cross-region channel, calculate residual power transmission capacity of the cross-region channel according to the cross-region channel power transmission capacity data considering multiple factors and the used power transmission capacity of the cross-region channel, and complete residual power transmission capacity evaluation of the cross-region channel. 7.The system for assessing cross-zone corridor residual transmission capability considering multi-factor correlation according to claim 6, wherein, The function of the data acquisition module is implemented by the following method: The power grid model architecture of the cross-region channel, the power transmission capacity data of the power grid model of the cross-region channel, the power transaction data and the distribution coefficient are acquired as the real-time data of the cross-region channel. 8.The system for assessing cross-zone corridor residual transmission capability considering multi-factor correlation according to claim 6, wherein, The function of the objective function construction module is implemented by the following method: The power grid model architecture of the cross-region channel and the power transmission capacity data of the power grid model of the cross-region channel are acquired, and an objective function with the maximum cross-region power transmission capacity as the target at all times is established as the objective function for calculating the maximum cross-region power transmission capacity. 9.The system for assessing cross-zone corridor residual transmission capability considering multi-factor correlation according to claim 6, wherein, The function of the constraint condition construction module is implemented by the following method: The sending end machine number constraint is established according to the maximum cross-region power transmission capacity and the sending end machine number; The receiving end load level constraint is established according to the maximum cross-region power transmission capacity and the receiving end load level; The machine capacity constraint is established according to the maximum cross-region power transmission capacity and the machine capacity of the sending end or the receiving end; The cross-region channel level constraint is established according to the coupling level relationship between the cross-region channel power transmission capacities; The objective function is solved according to the sending end machine number constraint, the receiving end load level constraint, the machine capacity constraint and the cross-region channel level constraint, and the cross-region channel power transmission capacity data considering multiple factors is obtained.

10. The system for assessing cross-zone corridor residual power transfer capacity considering multi-factor correlation according to claim 6, wherein, The function of the data calculation module is implemented by the following method: The power transaction data and the distribution coefficient in the real-time data of the cross-region channel are acquired, and the used power transmission capacity of the cross-region channel is calculated according to the power transaction data and the distribution coefficient; The maximum power transmission capacity data of the cross-region channel is acquired according to the cross-region channel power transmission capacity data considering multiple factors, the residual power transmission capacity of the cross-region channel is calculated in combination with the used power transmission capacity, and the residual power transmission capacity evaluation of the cross-region channel is completed. 11.An electronic device comprising a memory and a processor, the memory storing a computer program, wherein, The processor executes the computer program to implement the steps of the method for residual power transmission capacity evaluation of the cross-region channel considering multiple factor correlations according to any one of claims 1 to 5.

12. A storage medium having stored thereon a computer program, characterized in that The computer program is executed by the processor to implement the steps of the method for residual power transmission capacity evaluation of the cross-region channel considering multiple factor correlations according to any one of claims 1 to 5.

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