Grid power supply strategy dynamic adjustment method and system based on graph calculation

Abstract

The invention discloses a power grid power supply strategy dynamic adjustment method and system based on graph calculation, and the method comprises the steps: obtaining the operation data of a power grid in real time, updating a preset initial power grid graph model and an initial power supply strategy parameter set according to the operation data, and obtaining a power grid graph model and a power supply strategy parameter set; selecting a plurality of preselected power transmission paths in the power grid graph model according to the power supply strategy parameter set; according to a preset impedance threshold value, a power grid operation constraint condition and a reliability condition, screening a pre-selected power transmission path to obtain a plurality of optimal power transmission paths; screening the optimal power transmission path according to a preset compensation factor set to obtain a shortest power transmission path; and adjusting the current power supply strategy according to the shortest power transmission path, and controlling the power grid to execute the adjusted power supply strategy. According to the method, multiple influence factors are screened, the global optimal transmission path is ensured to be obtained, a more accurate optimization strategy basis is provided for the power grid, and the overall performance and stability of the power grid are improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of power grid operation and management, and in particular relates to a method and system for dynamically adjusting a power grid power supply strategy based on graph computing. Background Art

[0002] As the scale and complexity of power systems continue to expand, the dynamic adjustment of power grid power supply strategies has become increasingly important. Traditional power grid management relies on pre-set rules and static models, but these methods are often not flexible and efficient enough in the face of changing operating conditions. In recent years, graph computing-based technologies have been introduced into power grid power supply strategies in order to optimize power transmission paths through more accurate and real-time data analysis, thereby improving the overall performance of the power grid.

[0003] However, existing graph computing methods often lack strict path screening criteria, which can easily lead to the selected "optimal" path not strictly meeting actual operational needs. Even if a path is selected as the current best solution, various unexpected situations may still occur during its execution and require additional processing. However, existing methods ignore how to evaluate and correct the selected path to ensure that it continues to maintain its optimal state. Summary of the invention

[0004] In response to the shortcomings of the existing technology, the present application provides a method and system for dynamically adjusting the power supply strategy of the power grid based on graph computing, which strictly screens multiple influencing factors to ensure that the global optimal shortest transmission path is obtained, providing a more accurate and scientific basis for the optimization strategy of the power grid and improving the overall performance and stability of the power grid.

[0005] To achieve the above objectives, in a first aspect, the present invention provides a method for dynamically adjusting a power supply strategy of a power grid based on graph computing, comprising:

[0006] Acquire the operation data of the power grid in real time, and update the preset initial power grid diagram model and initial power supply strategy parameter set according to the operation data to obtain the power grid diagram model and power supply strategy parameter set;

[0007] According to the power supply strategy parameter set, selecting a plurality of preselected power transmission paths in the power grid diagram model;

[0008] According to a preset impedance threshold, grid operation constraint conditions and reliability conditions, the pre-selected power transmission paths are screened to obtain a plurality of preferred power transmission paths;

[0009] According to a preset compensation factor set, the preferred power transmission path is screened to obtain the shortest power transmission path;

[0010] According to the shortest power transmission path, the current power supply strategy is adjusted, and the power grid is controlled to execute the adjusted power supply strategy.

[0011] Compared with the prior art, the embodiments of the present application have the following beneficial effects: real-time acquisition of the operation data of the power grid and updating of the power grid diagram model and the power supply strategy parameter set, ensuring that the decision is based on the latest and accurate information, selecting the pre-selected power transmission path according to the power supply strategy parameter set, quickly narrowing the search range, and providing a basis for subsequent path selection, by setting the impedance threshold, power grid operation constraints and reliability conditions to screen the pre-selected power transmission path, ensuring that the preferred power transmission path can take into account multiple dimensions, reduce energy waste in the energy loss dimension, and improve stability in the reliability dimension. Furthermore, by introducing the evaluation of compensation factors, the adverse effects of certain paths caused by additional conditions can be compensated, making the path selection more fair and reasonable, adjusting the power supply strategy according to the shortest transmission path, making the power grid operation more in line with current actual needs, and improving resource utilization efficiency and service quality.

[0012] In some embodiments of the first aspect of the present application, selecting a plurality of preselected power transmission paths in the power grid diagram model according to the power supply strategy parameter set includes:

[0013] According to the power supply strategy parameter set, pre-selected condition indicators are set; the pre-selected condition indicators include: line capacity limitation indicator, safety indicator, cost indicator and redundancy indicator;

[0014] The index value of each path in the power grid diagram model is calculated, and the path whose index value meets the pre-selected condition index is used as the pre-selected power transmission path.

[0015] The above embodiment has the following beneficial effects: pre-selected condition indicators are set according to the power supply strategy parameter set, and a pre-selected power transmission path is selected, taking into account the safety, reliability and cost control of the power grid, quickly narrowing the search scope, and providing a basis for subsequent path selection optimization.

[0016] In some embodiments of the first aspect of the present application, the preselected power transmission paths are screened according to a preset impedance threshold, a power grid operation constraint condition, and a reliability condition to obtain a plurality of preferred power transmission paths, including:

[0017] Calculating the total impedance of each of the preselected power transmission paths according to a preset impedance threshold, and screening the preselected power transmission paths according to the total impedance of each of the preselected power transmission paths to obtain a plurality of first power transmission paths;

[0018] According to the grid operation constraint condition, determine the grid operation constraint condition value corresponding to each of the first power transmission paths under each grid operation constraint condition, and select the first power transmission paths according to the grid operation constraint condition value to obtain a plurality of second power transmission paths; wherein each grid operation constraint condition is correspondingly configured with a first weight;

[0019] Calculating the reliability index of each second power transmission path according to the reliability condition;

[0020] According to the total impedance of each of the second power transmission paths, the grid operation constraint condition value, the first weight of each grid operation constraint condition and the reliability index, the second power transmission paths are screened to obtain a plurality of preferred power transmission paths.

[0021] The above-mentioned embodiment has the following beneficial effects: by setting impedance thresholds, grid operation constraints and reliability conditions to screen pre-selected power transmission paths, it is ensured that the preferred power transmission path can take into account multiple dimensions, reduce energy waste in the energy loss dimension, improve stability in the reliability dimension, and ensure that the selected path is technically feasible.

[0022] In some embodiments of the first aspect of the present application, the calculating the total impedance of each of the preselected power transmission paths according to a preset impedance threshold, and screening the preselected power transmission paths according to the total impedance of each of the preselected power transmission paths to obtain a plurality of first power transmission paths includes:

[0023] Obtaining the impedance of each transmission line in the power grid diagram model, and calculating the total impedance of each of the preselected power transmission paths;

[0024] A preselected power transmission path having a total impedance smaller than the impedance threshold is used as a first power transmission path.

[0025] The above embodiment has the following beneficial effects: the total impedance of each path is calculated, and paths with a total impedance lower than the threshold are screened as candidates according to a preset impedance threshold, thereby reducing energy loss during power transmission and improving efficiency.

[0026] In some embodiments of the first aspect of the present application, determining, according to the grid operation constraint condition, a grid operation constraint condition value corresponding to each of the first power transmission paths under each grid operation constraint condition, and screening the first power transmission paths according to the grid operation constraint condition value to obtain a plurality of second power transmission paths, including:

[0027] Obtain several power grid operation constraints;

[0028] By means of simulation software, respectively calculating the grid operation constraint condition values ​​corresponding to each of the first power transmission paths under each grid operation constraint condition;

[0029] The first power transmission path in which the operation constraint condition values ​​of each power grid meet the preset constraint range is used as the second power transmission path.

[0030] The above embodiment has the following beneficial effects: by screening the paths according to the grid operation constraints, it can be ensured that the finally selected path is technically feasible, and the stability of the path under various operating conditions is ensured.

[0031] In some embodiments of the first aspect of the present application, calculating the reliability index of each second power transmission path according to the reliability condition includes:

[0032] According to a preset reliability evaluation index, calculating a first evaluation score of each of the second power transmission paths under each reliability condition; wherein one reliability condition corresponds to at least one reliability evaluation index;

[0033] The reliability index of each of the second power transmission paths is calculated according to the preset weight of each reliability condition and the first evaluation score.

[0034] The above embodiment has the following beneficial effects: by comprehensively evaluating multiple reliability conditions, the reliability index of each path is obtained, and the balance of multiple reliability conditions is taken into account, so as to select the path that best suits the current demand.

[0035] In some embodiments of the first aspect of the present application, the second power transmission paths are screened according to the total impedance of each second power transmission path, the power grid operation constraint value, the first weight of each power grid operation constraint, and the reliability index to obtain a plurality of preferred power transmission paths, including:

[0036] Calculate the optimal value of each of the second power transmission paths according to the total impedance of each of the second power transmission paths, the power grid operation constraint condition value, the first weight of each power grid operation constraint condition and the reliability index;

[0037] The optimal values ​​are sorted from high to low, and the second power transmission paths corresponding to the top optimal values ​​are selected as the preferred power transmission paths;

[0038] The calculation formula for calculating the optimal value is as follows:

[0039]

[0040] Among them, V i represents the optimal value of the i-th second power transmission path; R irepresents the reliability index of the i-th second power transmission path; w j,i C represents the first weight of the jth preselected grid operation constraint condition in the i-th second power transmission path; j,i represents the jth preselected grid operation constraint value in the i-th second power transmission path; Z total,i represents the total impedance of the i-th second power transmission path; α, β, γ, δ represent weight coefficients.

[0041] The above embodiment has the following beneficial effects: the optimal value of each candidate path is calculated by combining factors such as total impedance, grid operation constraints, the first weight of grid operation constraints and reliability index, and the comprehensive performance of different paths is quantified through specific data calculation, which helps to select the best option from many paths.

[0042] In some embodiments of the first aspect of the present application, screening the preferred power transmission path according to a preset compensation factor set to obtain the shortest power transmission path includes:

[0043] According to the compensation factor set, respectively obtain a second weight preset for each compensation factor, an actual value and a standard value of each preferred power transmission path under each compensation factor, and calculate a total compensation value of each preferred power transmission path according to the actual value, the standard value, and the second weight;

[0044] The preferred power transmission path is screened according to the total compensation value and the optimal value to obtain the shortest power transmission path.

[0045] The above embodiment has the following beneficial effects: by introducing the evaluation of compensation factors, the adverse effects of certain paths caused by additional conditions can be compensated, making the path selection more fair and reasonable.

[0046] In some embodiments of the first aspect of the present application, the step of respectively acquiring a preset second weight of each compensation factor, an actual value and a standard value of each preferred power transmission path under each compensation factor according to the compensation factor set, and calculating a total compensation value of each preferred power transmission path according to the actual value, the standard value and the second weight, includes:

[0047] Obtaining the actual value and the preset standard value of each compensation factor in the compensation factor set; wherein each compensation factor is correspondingly configured with a second weight; the compensation factor set includes: environmental impact factors, maintenance cost factors, socio-economic factors, technology update potential factors, emergency response capability factors, and carbon emissions and environmental protection factors;

[0048] According to the standard value and the actual value of each compensation factor, the compensation value of each compensation factor in each preferred power transmission path is calculated, wherein the calculation formula is as follows:

[0049]

[0050] Among them, M k,q represents the compensation value of the kth compensation factor in the qth preferred power transmission path; F ′ k,q represents the standard value of the kth compensation factor in the qth preferred power transmission path; F k,q represents the actual value of the kth compensation factor in the qth preferred power transmission path;

[0051] According to the second weight of each compensation factor and the compensation value of each compensation factor, the total compensation value of each preferred power transmission path is calculated, wherein the calculation formula is as follows:

[0052]

[0053] Among them, M total,q represents the total compensation value of the qth preferred power transmission path; w k,q M represents the second weight of the kth compensation factor in the qth preferred power transmission path; k,q represents the compensation value of the kth compensation factor in the qth preferred power transmission path; T represents the total number of compensation factors.

[0054] The above embodiment has the following beneficial effects: by introducing environmental impacts, maintenance costs, socio-economic factors and other factors that may affect the final path selection but are difficult to quantify and have not been fully considered in previous analysis, it is possible to compensate for the adverse effects of certain paths due to specific conditions, which is conducive to further optimizing the path selection and providing a comprehensive basis for subsequent adjustment strategies.

[0055] In a second aspect, an embodiment of the present application further provides a system for dynamically adjusting a power supply strategy of a power grid based on graph computing, comprising: an update module, a pre-selection module, a preferred module, a final selection module and an adjustment module;

[0056] The updating module is used to obtain the operation data of the power grid in real time, and update the preset initial power grid diagram model and the initial power supply strategy parameter set according to the operation data to obtain the power grid diagram model and the power supply strategy parameter set;

[0057] The preselection module is used to select a number of preselected power transmission paths in the power grid diagram model according to the power supply strategy parameter set;

[0058] The optimization module is used to screen the pre-selected power transmission paths according to the preset impedance threshold, power grid operation constraint conditions and reliability conditions to obtain a plurality of preferred power transmission paths;

[0059] The final selection module is used to screen the preferred power transmission path according to a preset compensation factor set to obtain the shortest power transmission path;

[0060] The adjustment module is used to adjust the current power supply strategy according to the shortest power transmission path, and control the power grid to execute the adjusted power supply strategy.

[0061] Compared with the prior art, the above embodiment has the following beneficial effects: real-time acquisition of power grid operation data and updating of power grid diagram model and power supply strategy parameter set, ensuring that decisions are based on the latest and accurate information, selecting pre-selected power transmission paths according to the power supply strategy parameter set, quickly narrowing the search range, and providing a basis for subsequent path selection, and screening pre-selected power transmission paths by setting impedance thresholds, power grid operation constraints and reliability conditions, ensuring that the preferred power transmission path can take into account multiple dimensions, reduce energy waste in the energy loss dimension, and improve stability in the reliability dimension. Furthermore, by introducing the evaluation of compensation factors, the adverse effects of additional conditions on certain paths can be compensated, making path selection more fair and reasonable, adjusting the power supply strategy according to the shortest transmission path, making the power grid operation more in line with current actual needs, and improving resource utilization efficiency and service quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] Figure 1 : A flow chart of a method for dynamically adjusting a power grid power supply strategy based on graph computing provided in some embodiments of the present invention.

[0063] Figure 2 : A structural schematic diagram of a system for dynamically adjusting a power grid power supply strategy based on graph computing provided in some embodiments of the present invention. DETAILED DESCRIPTION

[0064] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0065] Embodiment 1:

[0066] Please refer to Figure 1 , a method for dynamically adjusting a power grid power supply strategy based on graph computing provided by an embodiment of the present invention, comprising steps S1 to S5:

[0067] Step S1: acquiring the operation data of the power grid in real time, and updating the preset initial power grid diagram model and the initial power supply strategy parameter set according to the operation data, so as to obtain the power grid diagram model and the power supply strategy parameter set;

[0068] The operation data may include the following data: load changes, equipment health, voltage levels, current strength, power flow, temperature, meteorological conditions, fault information, maintenance records, power station output, energy storage system status, etc.;

[0069] The power grid diagram model may include the following data:

[0070] Node information: Each node represents a key facility in the power system, such as a power station, substation, distribution station, etc. In addition, node information can also include capacity limit, voltage level and location coordinates, i.e. longitude and latitude;

[0071] Edge information: An edge represents the physical connection line between two nodes. The information of each edge includes line length, cable type, rated transmission capacity, impedance value (resistance, reactance), etc.

[0072] Operation status information: including real-time data such as the load status of each node at the current moment, power generation, and actual usage status of the line;

[0073] Constraints: including maximum allowable current, operating voltage range, temperature limits and other safe operating requirements;

[0074] The power supply strategy parameter set may include the following data: maximum allowable current, voltage level range, capacity limit, priority rules, safety assessment criteria, environmental influencing factors, thermal stability constraints, frequency range, response time limit and backup power supply configuration information.

[0075] In this embodiment, by acquiring the operation data of the power grid in real time and updating the power grid diagram model and the power supply strategy parameter set, it is ensured that the decision is based on the latest and accurate information, thereby ensuring the reliability of subsequent path selection.

[0076] Step S2: According to the power supply strategy parameter set, a plurality of pre-selected power transmission paths are selected in the power grid diagram model.

[0077] In some embodiments of the present application, step S2 can be implemented by the following preferred implementations:

[0078] S21: according to the power supply strategy parameter set, setting pre-selected condition indicators; the pre-selected condition indicators include: line capacity limitation indicator, safety indicator, cost indicator and redundancy indicator;

[0079] S22: Calculate the index value of each path in the power grid diagram model, and use the path whose index value meets the pre-selected condition index as the pre-selected power transmission path.

[0080] In this embodiment, pre-selected condition indicators are set according to the power supply strategy parameter set, and a pre-selected power transmission path is selected, which takes into account the security, reliability and cost control of the power grid, quickly narrows the search scope, and provides a basis for subsequent path selection optimization.

[0081] Step S3: According to the preset impedance threshold, grid operation constraint conditions and reliability conditions, the pre-selected power transmission paths are screened to obtain a plurality of preferred power transmission paths.

[0082] In some embodiments of the present application, step S3 can be implemented by the following preferred implementations:

[0083] S31: calculating the total impedance of each of the pre-selected power transmission paths according to a preset impedance threshold, and screening the pre-selected power transmission paths according to the total impedance of each of the pre-selected power transmission paths to obtain a plurality of first power transmission paths;

[0084] S32: determining, according to the grid operation constraint condition, grid operation constraint condition values ​​corresponding to each of the first power transmission paths under each grid operation constraint condition, and selecting the first power transmission paths according to the grid operation constraint condition values ​​to obtain a plurality of second power transmission paths; wherein each grid operation constraint condition is correspondingly configured with a first weight;

[0085] S33: Calculating the reliability index of each second power transmission path according to the reliability condition;

[0086] S34: Filter the second power transmission paths according to the total impedance of each of the second power transmission paths, the grid operation constraint condition value, the first weight of each grid operation constraint condition and the reliability index to obtain a plurality of preferred power transmission paths.

[0087] In this embodiment, the pre-selected power transmission path is screened by setting the impedance threshold, the grid operation constraint condition and the reliability condition, so as to ensure that the preferred power transmission path can take into account multiple dimensions, reduce energy waste in the energy loss dimension, improve stability in the reliability dimension, and ensure that the selected path is technically feasible.

[0088] Furthermore, step S31 can be implemented by the following preferred implementations:

[0089] S311: Obtain the impedance of each transmission line in the power grid diagram model, and calculate the total impedance of each of the preselected power transmission paths;

[0090] S312: taking the preselected power transmission path whose total impedance is less than the impedance threshold as the first power transmission path;

[0091] The total impedance can be calculated as follows: the total impedance of each transmission path is initialized to 0, starting from the starting point of the path, the impedance of the line between adjacent nodes is accumulated until the end of the path, and the total impedance of the transmission route is obtained. Furthermore, when accumulating impedance, if the adjacent nodes are in a series relationship, they are directly added, and if they are still in a parallel relationship, equivalent impedance is used. The calculation formula is as follows: Among them, H total is the equivalent impedance of node H1 and node H2.

[0092] In this preferred embodiment, the total impedance of each path is calculated, and paths with a total impedance lower than the threshold are screened as candidates according to a preset impedance threshold, which can reduce energy loss during power transmission and improve efficiency.

[0093] Furthermore, step S32 can be implemented by the following preferred implementations:

[0094] S321: Obtaining a number of power grid operation constraints;

[0095] S322: Calculating, by simulation software, the grid operation constraint condition values ​​corresponding to each of the first power transmission paths under each grid operation constraint condition;

[0096] S323: using the first power transmission path where the operation constraint condition values ​​of each power grid meet the preset constraint range as the second power transmission path;

[0097] The power grid operation constraints may include the following constraints: voltage constraints, current constraints, power constraints, frequency constraints, thermal stability constraints and stability constraints.

[0098] In this preferred embodiment, the paths are screened according to the grid operation constraints, which can ensure that the path finally selected is technically feasible and ensure the stability of the path under various operating conditions.

[0099] Furthermore, step S33 can be implemented by the following preferred implementation:

[0100] S331: Calculate a first evaluation score of each of the second power transmission paths under each reliability condition according to a preset reliability evaluation index; wherein one reliability condition corresponds to at least one reliability evaluation index;

[0101] S332: Calculating the reliability index of each of the second power transmission paths according to the preset weight of each reliability condition and the first evaluation score;

[0102] Among them, the reliability conditions may include: safety conditions, flexibility conditions and economic conditions; among them, the safety conditions may include: voltage safety conditions, current safety conditions and thermal stability safety conditions; the flexibility conditions may include: redundancy conditions and response time conditions; the economic conditions may include: transmission cost conditions, maintenance cost conditions and economic benefit conditions;

[0103] A standard for the first evaluation score is set for each reliability condition. For example, if the voltage of a certain line is completely within the safety range, such as 0.95pu to 1.05pu, the corresponding first evaluation score is 10 points. If the voltage exceeds the safety range within a certain limit, the corresponding first evaluation score is 7 points. If the voltage seriously exceeds the safety range, the corresponding first evaluation score is 3 points. In the analysis and evaluation of redundancy conditions, the evaluation can be made according to the number of backup lines of the transmission line. For example, if the number of backup lines of a certain line meets the preset specifications, the corresponding first evaluation score is 10 points. If it does not fully meet the specifications, the corresponding first evaluation score is 5 points. In the analysis and evaluation of transmission cost conditions, the evaluation can be made according to the length and material cost of the transmission route. For example, if the transmission cost of a certain transmission route is within a preset range, the first evaluation score is the preset score of the corresponding range. By analogy, the first evaluation score of each of the second power transmission paths under each reliability condition is calculated.

[0104] In this preferred embodiment, a reliability index of each path is obtained through comprehensive evaluation of multiple reliability conditions, and a balance of multiple reliability conditions is taken into account, so as to select the path that best suits the current demand.

[0105] Furthermore, step S34 can be implemented by the following preferred implementations:

[0106] S341: Calculate the optimal value of each of the second power transmission paths according to the total impedance of each of the second power transmission paths, the power grid operation constraint condition value, the first weight of each power grid operation constraint condition and the reliability index;

[0107] The calculation formula for calculating the optimal value is as follows:

[0108]

[0109] Among them, V i represents the optimal value of the i-th second power transmission path; R i represents the reliability index of the i-th second power transmission path; w j,i C represents the first weight of the jth preselected grid operation constraint condition in the i-th second power transmission path; j,i represents the jth preselected grid operation constraint value in the i-th second power transmission path; Ztotal,i represents the total impedance of the i-th second power transmission path; α, β, γ, δ represent weight coefficients;

[0110] S342: Sort the optimal values ​​from high to low, and use the second power transmission paths corresponding to the top optimal values ​​as the preferred power transmission paths.

[0111] In this preferred embodiment, the optimal value of each candidate path is calculated by combining factors such as total impedance, grid operation constraints, the first weight of grid operation constraints and reliability index. The comprehensive performance of different paths is quantified through specific data calculations, which helps to select the best option from many paths.

[0112] Step S4: According to a preset compensation factor set, the preferred power transmission path is screened to obtain the shortest power transmission path.

[0113] In some embodiments of the present application, step S4 can be implemented by the following preferred implementations:

[0114] S41: According to the compensation factor set, respectively obtain a preset second weight of each compensation factor, an actual value and a standard value of each preferred power transmission path under each compensation factor, and calculate a total compensation value of each preferred power transmission path according to the actual value, the standard value, and the second weight;

[0115] S42: Screening the preferred power transmission path according to the total compensation value and the optimal value to obtain the shortest power transmission path.

[0116] In this embodiment, by introducing the evaluation of compensation factors, the adverse effects of certain paths caused by additional conditions can be compensated, making the path selection more fair and reasonable.

[0117] Furthermore, step S41 can be implemented by the following preferred implementations:

[0118] S411: Obtaining the actual value and the preset standard value of each compensation factor in the compensation factor set; wherein each compensation factor is correspondingly configured with a second weight; the compensation factor set includes: environmental impact factors, maintenance cost factors, socio-economic factors, technology update potential factors, emergency response capability factors, and carbon emissions and environmental protection factors;

[0119] S412: Calculate the compensation value of each compensation factor in each of the preferred power transmission paths according to the standard value and the actual value of each compensation factor, wherein the calculation formula is as follows:

[0120]

[0121] Among them, M k,qrepresents the compensation value of the kth compensation factor in the qth preferred power transmission path; F ′ k,q represents the standard value of the kth compensation factor in the qth preferred power transmission path; F k,q represents the actual value of the kth compensation factor in the qth preferred power transmission path;

[0122] S413 calculates the total compensation value of each preferred power transmission path according to the second weight of each compensation factor and the compensation value of each compensation factor, wherein the calculation formula is as follows:

[0123]

[0124] Among them, M total,q represents the total compensation value of the qth preferred power transmission path; w k,q M represents the second weight of the kth compensation factor in the qth preferred power transmission path; k,q represents the compensation value of the kth compensation factor in the qth preferred power transmission path; T represents the total number of compensation factors.

[0125] In this preferred embodiment, by introducing environmental impacts, maintenance costs, socio-economic factors and other factors that may affect the final path selection but are difficult to quantify and have not been fully considered in the previous analysis, it is possible to compensate for the adverse effects of certain paths due to specific conditions, which is conducive to further optimizing the path selection and providing a comprehensive basis for subsequent adjustment strategies.

[0126] Furthermore, step S42 can be implemented by the following preferred implementations:

[0127] S421: Calculate the additional compensation optimal value of each of the preferred power transmission paths according to the optimal value of each of the preferred power transmission paths and the total compensation value, wherein the calculation formula is as follows:

[0128] V q ′ =V q +M total,q ;

[0129] Among them, V q ′ represents the optimal value of additional compensation for the qth preferred power transmission path; V q represents the optimal value of the qth preferred power transmission path;

[0130] S422: Taking the preferred power transmission path with the largest additional compensation optimal value as the shortest power transmission path.

[0131] In this preferred embodiment, the optimal value of the additional compensation is determined by calculating the optimal value and the total compensation value, and various factors are comprehensively considered to make the path selection more fair and reasonable, and ultimately the best power transmission path is selected.

[0132] Step S5: adjusting the current power supply strategy according to the shortest power transmission path, and controlling the power grid to execute the adjusted power supply strategy.

[0133] For example, after obtaining a shortest transmission path, analyze the current power supply strategy, including: Existing path analysis: Check the power transmission path currently in use, including its electrical characteristics, operating status, maintenance records, etc.; Load distribution analysis: Evaluate the load distribution in the current power grid, especially the demand of key load points; Power configuration analysis: Review the configuration and operating status of existing power stations and substations; Network topology analysis: Understand the overall topology of the current power grid and identify any bottlenecks or restrictions that will affect the access of new paths;

[0134] According to the shortest transmission path, formulate a detailed power supply strategy optimization and adjustment plan, including the following plans:

[0135] Path switching plan: including: planned switching time and detailed steps of switching operation;

[0136] Equipment update and maintenance plan: including: equipment status inspection, upgrade or replacement;

[0137] Scheduling and control solutions: including: adjusting scheduling plans and setting up automated controls;

[0138] Emergency plan: including: developing emergency plans and drill training plans;

[0139] The specific steps for implementing a new power supply strategy are as follows: notify all relevant power companies, operation and maintenance personnel, and affected users in advance of the upcoming changes and their expected impacts; switch load paths according to the detailed steps of the adjustment plan; comprehensively test the functions of the new paths, collect and analyze the operating data of the new paths, evaluate whether their performance meets the expected goals, and decide whether to enable the new power supply strategy based on the evaluation results.

[0140] In this embodiment, the power supply strategy is adjusted according to the shortest transmission path, so that the operation of the power grid is more in line with the current actual needs, and the resource utilization efficiency and service quality are improved.

[0141] In summary, compared with the prior art, the embodiments of the present application have the following beneficial effects: real-time acquisition of the operation data of the power grid and updating of the power grid diagram model and the power supply strategy parameter set, ensuring that the decision is based on the latest and accurate information, selecting the pre-selected power transmission path according to the power supply strategy parameter set, quickly narrowing the search range, and providing a basis for subsequent path selection, by setting the impedance threshold, power grid operation constraints and reliability conditions to screen the pre-selected power transmission path, ensuring that the preferred power transmission path can take into account multiple dimensions, reduce energy waste in the energy loss dimension, and improve stability in the reliability dimension. Furthermore, by introducing the evaluation of compensation factors, the adverse effects of certain paths caused by additional conditions can be compensated, making the path selection more fair and reasonable, adjusting the power supply strategy according to the shortest transmission path, making the power grid operation more in line with current actual needs, and improving resource utilization efficiency and service quality.

[0142] Embodiment 2:

[0143] Please refer to Figure 2 Based on the same inventive concept, an embodiment of the present invention discloses a system for dynamically adjusting a power grid power supply strategy based on graph computing, including: an update module M1, a pre-selection module M2, a preferred module M3, a final selection module M4 and an adjustment module M5.

[0144] The updating module M1 is used to obtain the operation data of the power grid in real time, and to update the preset initial power grid diagram model and the initial power supply strategy parameter set according to the operation data, so as to obtain the power grid diagram model and the power supply strategy parameter set.

[0145] The acquisition module M1 of this embodiment obtains the operation data of the power grid in real time and updates the power grid diagram model and the power supply strategy parameter set, thereby ensuring that the decision is based on the latest and accurate information and guaranteeing the reliability of subsequent path selection.

[0146] The preselection module M2 is used to select a number of preselected power transmission paths in the power grid diagram model according to the power supply strategy parameter set;

[0147] The pre-selection module M2 includes: an indicator setting unit M21 and an indicator calculation unit M22; the indicator setting unit M21 is used to set pre-selected condition indicators according to the power supply strategy parameter set; the pre-selected condition indicators include: line capacity limitation indicators, safety indicators, cost indicators and redundancy indicators; the indicator calculation unit M22 is used to calculate the indicator value of each path in the power grid diagram model, and use the path whose indicator value meets the pre-selected condition indicators as the pre-selected power transmission path.

[0148] The extraction module M2 of this embodiment sets pre-selected condition indicators according to the power supply strategy parameter set, selects pre-selected power transmission paths, takes into account the safety, reliability and cost control of the power grid, quickly narrows the search scope, and provides a basis for subsequent path selection optimization.

[0149] The optimization module M3 is used to screen the pre-selected power transmission paths according to the preset impedance threshold, power grid operation constraint conditions and reliability conditions to obtain a plurality of preferred power transmission paths;

[0150] The preferred module M3 includes: an impedance screening unit M31, a constraint screening unit M32, a reliability calculation unit M33 and a first comprehensive screening unit M34; the impedance screening unit M31 is used to calculate the total impedance of each of the pre-selected power transmission paths according to a preset impedance threshold, and screen the pre-selected power transmission paths according to the total impedance of each of the pre-selected power transmission paths to obtain a plurality of first power transmission paths; the constraint screening unit M32 is used to determine the grid operation constraint condition value corresponding to each of the first power transmission paths under each grid operation constraint condition according to the grid operation constraint condition, and screen the first power transmission path according to the grid operation constraint condition value to obtain a plurality of second power transmission paths; wherein each grid operation constraint condition is correspondingly configured with a first weight; the reliability calculation unit M33 is used to calculate the reliability index of each second power transmission path according to the reliability condition; the first comprehensive screening unit M34 is used to screen the second power transmission path according to the total impedance of each of the second power transmission paths, the grid operation constraint condition value, the first weight of each grid operation constraint condition and the reliability index to obtain a plurality of preferred power transmission paths.

[0151] The optimization module M3 of this embodiment screens the pre-selected power transmission path by setting impedance thresholds, grid operation constraints and reliability conditions, ensuring that the optimized power transmission path can take into account multiple dimensions, reduce energy waste in the energy loss dimension, improve stability in the reliability dimension, and ensure that the selected path is technically feasible.

[0152] Furthermore, the impedance screening unit M31 includes: an impedance calculation subunit M311 and a first screening subunit M312; the impedance calculation subunit M311 is used to obtain the impedance of each transmission line in the power grid diagram model, and calculate the total impedance of each preselected power transmission path; the first screening subunit M312 is used to take the preselected power transmission path whose total impedance is less than the impedance threshold as the first power transmission path.

[0153] The impedance screening unit M31 in this embodiment calculates the total impedance of each path and screens the paths whose total impedance is lower than the threshold as candidates according to a preset impedance threshold, which can reduce energy loss during power transmission and improve efficiency.

[0154] Furthermore, the constraint screening unit M32 includes: a constraint acquisition subunit M321, a constraint calculation subunit M322 and a second screening subunit M323; the constraint acquisition subunit M321 is used to obtain a number of power grid operation constraints; the constraint calculation subunit M322 is used to calculate the power grid operation constraint condition values ​​corresponding to each of the first power transmission paths under each power grid operation constraint condition through simulation software; the second screening subunit M323 is used to use the first power transmission path whose power grid operation constraint condition values ​​meet the preset constraint range as the second power transmission path.

[0155] The constraint screening unit M32 in this embodiment screens the paths according to the grid operation constraint conditions, which can ensure that the finally selected path is technically feasible and ensure the stability of the path under various operating conditions.

[0156] Furthermore, the reliability calculation unit M33 includes: an evaluation calculation subunit M331 and a reliability index calculation subunit M332; the evaluation calculation subunit M331 is used to calculate the first evaluation score of each second power transmission path under each reliability condition according to a preset reliability evaluation index; wherein one reliability condition corresponds to at least one reliability evaluation index; the reliability index calculation subunit M332 is used to calculate the reliability index of each second power transmission path according to the preset weight of each reliability condition and the first evaluation score.

[0157] The reliability calculation unit M33 obtains the reliability index of each path through comprehensive evaluation of multiple reliability conditions, taking into account the balance of multiple reliability conditions, and thus selects the path that best suits the current needs.

[0158] Furthermore, the first comprehensive screening unit M34 includes: an optimal value calculation subunit M341 and a third screening subunit M342; the optimal value calculation subunit M341 is used to calculate the optimal value of each of the second power transmission paths according to the total impedance of each of the second power transmission paths, the power grid operation constraint condition value, the first weight of each power grid operation constraint condition and the reliability index;

[0159] The calculation formula for calculating the optimal value is as follows:

[0160]

[0161] Among them, V irepresents the optimal value of the i-th second power transmission path; R i represents the reliability index of the i-th second power transmission path; w j,i C represents the first weight of the jth preselected grid operation constraint condition in the i-th second power transmission path; j,i represents the jth preselected grid operation constraint value in the i-th second power transmission path; Z total,i represents the total impedance of the i-th second power transmission path; α, β, γ, δ represent weight coefficients;

[0162] The third screening subunit M342 is used to sort the optimal values ​​from high to low, and use the second power transmission paths corresponding to the top optimal values ​​as the preferred power transmission paths.

[0163] The first comprehensive screening unit M34 calculates the optimal value of each candidate path by combining factors such as total impedance, grid operation constraints, the first weight of grid operation constraints and reliability index, and quantifies the comprehensive performance of different paths through specific data calculations, which helps to select the best option from many paths.

[0164] The final selection M4 is used to screen the preferred power transmission path according to a preset compensation factor set to obtain the shortest power transmission path;

[0165] The final selection module M4 includes: a total compensation calculation unit M41 and a second comprehensive screening unit M42; the total compensation calculation unit M41 is used to obtain the preset second weight of each compensation factor, the actual value and standard value of each preferred power transmission path under each compensation factor according to the compensation factor set, and calculate the total compensation value of each preferred power transmission path according to the actual value, standard value and second weight; the second comprehensive screening unit M42 is used to screen the preferred power transmission path according to the total compensation value and the optimal value to obtain the shortest power transmission path.

[0166] The final selection module M4 of this embodiment can compensate for the adverse effects of additional conditions on certain paths by introducing the evaluation of compensation factors, thereby making the path selection more fair and reasonable.

[0167] Furthermore, the total compensation calculation unit M41 includes: a compensation factor value acquisition subunit M411, a compensation value calculation subunit M412 and a total compensation value calculation subunit M413;

[0168] The compensation factor value acquisition subunit M411 is used to obtain the actual value and the preset standard value of each compensation factor in the compensation factor set; wherein each compensation factor is configured with a second weight; the compensation factor set includes: environmental impact factors, maintenance cost factors, socio-economic factors, technology update potential factors, emergency response capability factors and carbon emissions and environmental protection factors; the compensation value calculation subunit M412 is used to calculate the compensation value of each compensation factor in each of the preferred power transmission paths according to the standard value and the actual value of each compensation factor, wherein the calculation formula is as follows:

[0169]

[0170] Among them, M k,q represents the compensation value of the kth compensation factor in the qth preferred power transmission path; F ′ k,q represents the standard value of the kth compensation factor in the qth preferred power transmission path; F k,q represents the actual value of the kth compensation factor in the qth preferred power transmission path;

[0171] The total compensation value calculation subunit M413 is used to calculate the total compensation value of each preferred power transmission path according to the second weight of each compensation factor and the compensation value of each compensation factor, wherein the calculation formula is as follows:

[0172]

[0173] Among them, M total,q represents the total compensation value of the qth preferred power transmission path; w k,q represents the second weight of the kth compensation factor in the qth preferred power transmission path; M k,q represents the compensation value of the kth compensation factor in the qth preferred power transmission path; T represents the total number of compensation factors.

[0174] The total compensation calculation unit M41 in this embodiment can compensate for the adverse effects of certain paths caused by specific conditions by introducing environmental impacts, maintenance costs, socio-economic factors, etc. that may affect the final path selection but are difficult to quantify and have not been fully considered in previous analyses, which is conducive to further optimizing the path selection and providing a comprehensive basis for subsequent adjustment strategies.

[0175] Furthermore, the second comprehensive screening unit M42 includes: an additional compensation optimal value calculation subunit M421 and a fourth screening subunit M422;

[0176] The additional compensation optimal value calculation subunit M421 is used to calculate the additional compensation optimal value of each of the preferred power transmission paths according to the optimal value of each of the preferred power transmission paths and the total compensation value, wherein the calculation formula is as follows: V q ′ =V q +M total,q ;

[0177] Among them, V q ′ represents the optimal value of additional compensation for the qth preferred power transmission path; V q represents the optimal value of the qth preferred power transmission path;

[0178] The fourth screening subunit M422 is used to use the preferred power transmission path with the largest additional compensation optimal value as the shortest power transmission path.

[0179] The second comprehensive screening unit M42 in this embodiment calculates the optimal value and the total compensation value to determine the optimal value of the additional compensation, and comprehensively considers various factors to make the path selection more fair and reasonable, and finally selects the best power transmission path.

[0180] The adjustment module M5 is used to adjust the current power supply strategy according to the shortest power transmission path, and control the power grid to execute the adjusted power supply strategy.

[0181] The adjustment module M5 of this embodiment adjusts the power supply strategy according to the shortest transmission path, so that the operation of the power grid is more in line with the current actual needs, and improves resource utilization efficiency and service quality.

[0182] In summary, compared with the prior art, the embodiments of the present application have the following beneficial effects: real-time acquisition of the operation data of the power grid and updating of the power grid diagram model and the power supply strategy parameter set, ensuring that the decision is based on the latest and accurate information, selecting the pre-selected power transmission path according to the power supply strategy parameter set, quickly narrowing the search range, and providing a basis for subsequent path selection, by setting the impedance threshold, power grid operation constraints and reliability conditions to screen the pre-selected power transmission path, ensuring that the preferred power transmission path can take into account multiple dimensions, reduce energy waste in the energy loss dimension, and improve stability in the reliability dimension. Furthermore, by introducing the evaluation of compensation factors, the adverse effects of certain paths caused by additional conditions can be compensated, making the path selection more fair and reasonable, adjusting the power supply strategy according to the shortest transmission path, making the power grid operation more in line with current actual needs, and improving resource utilization efficiency and service quality.

[0183] The specific working process of each module described above can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here. The module division is only a logical function division, and there may be other division methods in actual implementation, such as multiple modules can be combined or integrated into another system.

[0184] The specific embodiments described above further illustrate the purpose, technical solutions and beneficial effects of the present invention. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. It is particularly pointed out that for those skilled in the art, any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for dynamically adjusting power supply strategy of a power grid based on graph computing, characterized in that: include: Acquire the operation data of the power grid in real time, and update the preset initial power grid diagram model and initial power supply strategy parameter set according to the operation data to obtain the power grid diagram model and power supply strategy parameter set; According to the power supply strategy parameter set, selecting a plurality of preselected power transmission paths in the power grid diagram model; According to a preset impedance threshold, grid operation constraint conditions and reliability conditions, the pre-selected power transmission paths are screened to obtain a plurality of preferred power transmission paths; According to a preset compensation factor set, the preferred power transmission path is screened to obtain the shortest power transmission path; According to the shortest power transmission path, the current power supply strategy is adjusted, and the power grid is controlled to execute the adjusted power supply strategy.

2. A method for dynamically adjusting power supply strategy of a power grid based on graph computing as claimed in claim 1, characterized in that: The selecting, according to the power supply strategy parameter set, a plurality of preselected power transmission paths in the power grid diagram model comprises: According to the power supply strategy parameter set, pre-selected condition indicators are set; the pre-selected condition indicators include: line capacity limitation indicator, safety indicator, cost indicator and redundancy indicator; The index value of each path in the power grid diagram model is calculated, and the path whose index value meets the pre-selected condition index is used as the pre-selected power transmission path.

3. The method for dynamically adjusting power supply strategy of a power grid based on graph computing according to claim 1, characterized in that: The preselected power transmission paths are screened according to the preset impedance threshold, power grid operation constraint conditions and reliability conditions to obtain a plurality of preferred power transmission paths, including: Calculating the total impedance of each of the preselected power transmission paths according to a preset impedance threshold, and screening the preselected power transmission paths according to the total impedance of each of the preselected power transmission paths to obtain a plurality of first power transmission paths; According to the grid operation constraint condition, determine the grid operation constraint condition value corresponding to each of the first power transmission paths under each grid operation constraint condition, and select the first power transmission paths according to the grid operation constraint condition value to obtain a plurality of second power transmission paths; wherein each grid operation constraint condition is correspondingly configured with a first weight; Calculating the reliability index of each second power transmission path according to the reliability condition; According to the total impedance of each of the second power transmission paths, the grid operation constraint condition value, the first weight of each grid operation constraint condition and the reliability index, the second power transmission paths are screened to obtain a plurality of preferred power transmission paths.

4. The method for dynamically adjusting power supply strategy of a power grid based on graph computing according to claim 3, characterized in that: The calculating the total impedance of each of the pre-selected power transmission paths according to a preset impedance threshold, and screening the pre-selected power transmission paths according to the total impedance of each of the pre-selected power transmission paths to obtain a plurality of first power transmission paths includes: Obtaining the impedance of each transmission line in the power grid diagram model, and calculating the total impedance of each of the preselected power transmission paths; A preselected power transmission path having a total impedance smaller than the impedance threshold is used as a first power transmission path.

5. The method for dynamically adjusting power supply strategy of a power grid based on graph computing according to claim 3, characterized in that: The determining, according to the power grid operation constraint condition, the power grid operation constraint condition value corresponding to each of the first power transmission paths under each power grid operation constraint condition, and screening the first power transmission paths according to the power grid operation constraint condition value to obtain a plurality of second power transmission paths, comprises: Obtain several power grid operation constraints; By means of simulation software, respectively calculating the grid operation constraint condition values ​​corresponding to each of the first power transmission paths under each grid operation constraint condition; The first power transmission path in which the operation constraint condition values ​​of each power grid meet the preset constraint range is used as the second power transmission path.

6. The method for dynamically adjusting power supply strategy of a power grid based on graph computing according to claim 3, characterized in that: The calculating the reliability index of each second power transmission path according to the reliability condition includes: According to a preset reliability evaluation index, calculating a first evaluation score of each of the second power transmission paths under each reliability condition; wherein one reliability condition corresponds to at least one reliability evaluation index; The reliability index of each of the second power transmission paths is calculated according to the preset weight of each reliability condition and the first evaluation score.

7. The method for dynamically adjusting power supply strategy of a power grid based on graph computing according to claim 3, characterized in that: The step of screening the second power transmission paths according to the total impedance of each of the second power transmission paths, the power grid operation constraint condition value, the first weight of each power grid operation constraint condition and the reliability index to obtain a plurality of preferred power transmission paths comprises: Calculate the optimal value of each of the second power transmission paths according to the total impedance of each of the second power transmission paths, the power grid operation constraint condition value, the first weight of each power grid operation constraint condition and the reliability index; The optimal values ​​are sorted from high to low, and the second power transmission paths corresponding to the top optimal values ​​are used as the preferred power transmission paths; The calculation formula for calculating the optimal value is as follows: Among them, V i represents the optimal value of the i-th second power transmission path; R i represents the reliability index of the i-th second power transmission path; w j,i C represents the first weight of the jth preselected grid operation constraint condition in the i-th second power transmission path; j,i represents the jth preselected grid operation constraint value in the i-th second power transmission path; Z total,i represents the total impedance of the i-th second power transmission path; α, β, γ, δ represent weight coefficients.

8. The method for dynamically adjusting power supply strategy of a power grid based on graph computing according to claim 7, characterized in that: The step of screening the preferred power transmission path according to the preset compensation factor set to obtain the shortest power transmission path includes: According to the compensation factor set, respectively obtain a second weight preset for each compensation factor, an actual value and a standard value of each preferred power transmission path under each compensation factor, and calculate a total compensation value of each preferred power transmission path according to the actual value, the standard value, and the second weight; The preferred power transmission path is screened according to the total compensation value and the optimal value to obtain the shortest power transmission path.

9. A method for dynamically adjusting power supply strategy of a power grid based on graph computing as claimed in claim 8, characterized in that: The step of respectively obtaining, according to the compensation factor set, a second weight preset for each compensation factor, an actual value and a standard value of each preferred power transmission path under each compensation factor, and calculating a total compensation value of each preferred power transmission path according to the actual value, the standard value and the second weight comprises: Obtaining the actual value and the preset standard value of each compensation factor in the compensation factor set; wherein each compensation factor is correspondingly configured with a second weight; the compensation factor set includes: environmental impact factors, maintenance cost factors, socio-economic factors, technology update potential factors, emergency response capability factors, and carbon emissions and environmental protection factors; According to the standard value and the actual value of each compensation factor, the compensation value of each compensation factor in each preferred power transmission path is calculated, wherein the calculation formula is as follows: Among them, M k,q represents the compensation value of the kth compensation factor in the qth preferred power transmission path; F ′ k,q represents the standard value of the kth compensation factor in the qth preferred power transmission path; F k,q represents the actual value of the kth compensation factor in the qth preferred power transmission path; According to the second weight of each compensation factor and the compensation value of each compensation factor, the total compensation value of each preferred power transmission path is calculated, wherein the calculation formula is as follows: Among them, M total,q represents the total compensation value of the qth preferred power transmission path; w k,q M represents the second weight of the kth compensation factor in the qth preferred power transmission path; k,q represents the compensation value of the kth compensation factor in the qth preferred power transmission path; T represents the total number of compensation factors.

10. A system for dynamically adjusting power supply strategies of power grids based on graph computing, characterized in that: include: Update module, pre-selection module, optimization module, final selection module and adjustment module; The updating module is used to obtain the operation data of the power grid in real time, and update the preset initial power grid diagram model and the initial power supply strategy parameter set according to the operation data to obtain the power grid diagram model and the power supply strategy parameter set; The preselection module is used to select a number of preselected power transmission paths in the power grid diagram model according to the power supply strategy parameter set; The optimization module is used to screen the pre-selected power transmission paths according to the preset impedance threshold, power grid operation constraint conditions and reliability conditions to obtain a plurality of preferred power transmission paths; The final selection module is used to screen the preferred power transmission path according to a preset compensation factor set to obtain the shortest power transmission path; The adjustment module is used to adjust the current power supply strategy according to the shortest power transmission path, and control the power grid to execute the adjusted power supply strategy.

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