Method, system and equipment for evaluating real-time operation condition of new energy power grid and medium

Abstract

The invention provides a method, a system, equipment and a medium for evaluating real-time operation conditions of a new energy power grid, and the method comprises the steps: building a new energy power grid evaluation index system composed of multiple stages of evaluation indexes according to the operation conditions, including the static safety level, the balance adjustment capability, the new energy consumption level and the carbon emission level, of the new energy power grid; and calculation and evaluation result division are carried out on each evaluation index, and finally, a hierarchical progressive method is adopted to carry out hierarchical comprehensive evaluation on the real-time operation condition of the new energy power grid. According to the method, the real-time operation level of the power grid can be visually, rapidly, accurately and comprehensively evaluated, the perception capability of a dispatcher on power grid abnormity is improved, the comprehensive mastering capability on the overall operation situation of the large power grid is improved, and the reliability and stability of power grid operation are further improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of electric power engineering, and relates to a method, system and medium for evaluating the real-time operation status of a power grid. Background Art

[0002] With the rapid development of the economy and society, the scale and complexity of power grids are increasing, the coupling of AC and DC is becoming increasingly close, and the scale of ultra-high voltage AC and DC hybrid power grids is also expanding. In order to achieve energy conservation and emission reduction, the power supply structure is gradually transforming to clean and low-carbon, and the construction of new power systems with new energy as the main body is developing rapidly. The grid form has changed from the traditional grid dominated by one-way step-by-step transmission to an energy interconnected grid including large AC and DC hybrid power grids, microgrids, local DC power grids and adjustable loads. The power load has changed from the traditional rigid, pure consumption type to the flexible, production and consumption type. The operating characteristics of the power grid have changed significantly, and the operating risks of the power grid have continued to increase, which puts forward new requirements for the evaluation indicators of the power grid. In addition, the power system is rich in massive power data and has a lot of operation monitoring information. Traditional means of relying on manual monitoring are inefficient, labor-intensive, and time-sensitive, and there are major safety hazards. It is crucial to accurately mine and extract key indicators that reflect the health level of the power grid from massive data. However, in the current assessment of the real-time operation status of the power grid, the number of indicators in the operation indicator system is huge and scattered. The indicators reflecting the safety and stability level of the power grid and the balance and regulation capabilities are not perfect, and there is a lack of indicators reflecting the ability to absorb new energy. It is difficult to intuitively, quickly, accurately, and comprehensively evaluate the real-time operation level of the power grid. Summary of the invention

[0003] In order to solve the problem described in the background technology that the evaluation of the current real-time operation status of the power grid lacks indicators reflecting the new energy absorption capacity, and it is difficult to intuitively, quickly, accurately and comprehensively evaluate the real-time operation level of the power grid, the present invention provides an evaluation method, system, equipment and medium for the real-time operation status of the new energy power grid.

[0004] The method of the present invention comprises:

[0005] According to the operation status of the new energy grid, including static safety level, balance regulation capacity, new energy consumption level and carbon emission level, set up multi-level evaluation indicators, group the evaluation indicators according to the dominant relationship and link them into an orderly evaluation hierarchy, and establish a new energy grid evaluation indicator system based on the evaluation hierarchy;

[0006] According to the operating status parameters of the new energy power grid, various evaluation indicators in the new energy power grid evaluation indicator system are calculated;

[0007] According to the calculation results of each evaluation indicator, the evaluation results of each evaluation indicator are divided based on the operation status of the new energy power grid;

[0008] A hierarchical method is adopted. For a certain level of evaluation indicators, the most serious evaluation result among the evaluation indicators at the next level is selected as the evaluation result of the evaluation indicator at this level. The evaluation of the evaluation indicators at the previous level is completed based on the evaluation results of the evaluation indicators at this level. The most serious evaluation result among the evaluation indicators at this level is used as the evaluation result of the evaluation indicators at the previous level, so as to realize a hierarchical comprehensive evaluation of the real-time operation status of the new energy power grid.

[0009] Furthermore, the multi-level evaluation indicators of the new energy grid evaluation indicator system include: first-level evaluation indicators, second-level evaluation indicators, and third-level evaluation indicators;

[0010] The first-level evaluation indicators include static safety level, balance regulation capability, new energy consumption level, and carbon emission level; the second-level evaluation indicators are sub-indicators of each evaluation indicator in the first-level evaluation indicators;

[0011] The sub-indicators of the static safety level assessment index include: line overload safety margin, main transformer overload safety margin, bus voltage safety level, section safety margin, and frequency safety margin;

[0012] The sub-indicators of the balance regulation capability evaluation index include: spinning reserve, negative reserve, dispatchable load, orderly power consumption, AGC regulation capability, and ultra-short-term balance margin;

[0013] The sub-indicators of the new energy consumption level assessment index include: real-time section constraint obstruction, ultra-short-term section constraint obstruction, real-time peak-shaving constraint obstruction, ultra-short-term peak-shaving constraint obstruction, new energy utilization rate, and new energy simultaneous rate;

[0014] The sub-indicators of the carbon emission level assessment index include: real-time rate of carbon emission, carbon emission intensity, proportion of zero-carbon electricity, carbon reduction rate of inter-regional power transmission, and power supply utilization rate;

[0015] The three-level evaluation indicators include: the safety margin of a single device in the line overload safety margin, the safety margin of a single device in the main transformer overload safety margin, the safety margin of a single device in the bus voltage safety margin, and the safety margin of a single device in the section safety margin.

[0016] Furthermore, among the sub-indicators of the static safety level assessment indicator,

[0017] The evaluation calculation formula of the line overload safety margin is:

[0018]

[0019]

[0020]

[0021] Where ηline,i is the line overload safety margin of the i-th line; N is the number of transmission lines in the entire network; I real,i is the actual current of the ith line; I N,i is the allowable current carrying capacity of the ith line; F <60％ Represents the ratio of the number of lines with overload safety margin < 60% to the total number of lines in the network, N <0％ Represents the number of lines in the entire network with line overload safety margin <0%, i.e., line current overload flow;

[0022] The evaluation calculation formula of the main transformer overload safety margin is:

[0023]

[0024]

[0025]

[0026] Where N is the number of main transformers in the whole network, η transf,i is the main transformer overload safety margin of the i-th main transformer, P i , Q i are the actual active power and reactive power on the high / medium voltage side of the i-th main transformer, S N,i F is the rated apparent power of the high / medium voltage side of the i-th main transformer; <35％ Represents the ratio of the number of main transformers with overload safety margin <35% to the total number of main transformers in the network, N <0％ Represents the number of main transformers in the entire network whose main transformer overload safety margin is <0%, i.e., the main transformer current exceeds the rated current;

[0027] The evaluation calculation formula for the bus voltage safety level is:

[0028]

[0029]

[0030]

[0031]

[0032]

[0033] Where N is the number of busbars in the entire network, η V,i is the bus voltage safety level of the ith bus, V max,i is the upper limit of the voltage of the ith bus; V min,i is the lower limit of the voltage of the ith bus; V i is the actual voltage of the ith bus; F <10％ 、F >90％The ratio of the number of buses with a bus voltage safety level of <10% and >90% to the number of buses in the entire network, N <0％ 、N >100％ Represents the number of busbars in the entire network with voltages exceeding the lower and upper limits;

[0034] The evaluation calculation formula of the section safety margin is:

[0035]

[0036]

[0037]

[0038] Where N is the number of sections in the entire network, η fg,i is the section safety margin of the i-th section, P real,i is the active power of the line composed of the i-th section; P N,i is the stability limit of the i-th section; F <10％ Represents the ratio of the number of sections with section safety margin <10% to the total number of sections in the network, N <0％ Represents the number of sections in the entire network where the section safety margin is <0%, i.e., the section exceeds the limit;

[0039] The evaluation calculation formula of the frequency safety margin is:

[0040] Δf=ff N (15)

[0041] Where, f is the real-time frequency; f N The rated frequency is 50Hz.

[0042] Furthermore, among the sub-indicators of the balance regulation ability evaluation indicator,

[0043] The evaluation calculation formula of the spinning reserve is:

[0044]

[0045] R g =P max -P resist -P real (17)

[0046]

[0047] In the formula, R 省 Provides spinning reserve for the entire network; The backup provided for all direct-controlled thermal power units is considered to be self-generated and self-used by self-provided units, and remains basically unchanged throughout the day. It refers only to the spinning reserve provided by all directly dispatched public thermal power; Spinning reserve provided for all direct-controlled hydropower including pumped storage units; R g , P max , P resist , P real They are the spinning reserve provided by the unit, the maximum adjustable power of the unit, the blocked power of the unit and the actual output of the unit; R is the real-time spinning reserve, R min Minimum backup requirement;

[0048] The evaluation calculation formula of the negative reserve is:

[0049]

[0050] R Rneg =P real -P min (20)

[0051]

[0052] In the formula, It is a backup for the whole network. It is the negative reserve of all thermal power units. Considering the self-generation and self-use of self-provided units, it remains basically unchanged throughout the day. It only refers to the negative reserve provided by all directly dispatched public thermal power. is the negative reserve of all hydropower units including pumped storage units; R Rneg , R real , P min They are the negative reserve, actual output and minimum adjustable output provided by the unit; R neg For real-time negative backup, is the minimum negative reserve requirement;

[0053] The dispatchable load is marked as Q k , the dispatchable load is evaluated using the ratio of the actual dispatchable load capacity to the expected dispatchable load capacity. The evaluation formula is:

[0054]

[0055] In the formula, Q e Indicates that there should be dispatchable load capacity;

[0056] The orderly power consumption is marked as P k , using the actual orderly power consumption and the set threshold to evaluate the orderly power consumption index, and dividing it into normal, warning and emergency states according to the threshold;

[0057] The evaluation calculation formula of the AGC regulation capability is:

[0058] K UP =∑P up_max -∑P0(23),

[0059] K DOWN =∑P0-∑P down_max (twenty four),

[0060] R UP =∑R i,up (25),

[0061] R DOWN =∑R i,down (26),

[0062] Among them, K UP Indicates the upper adjustment range, P up_max Indicates the actual available adjustment upper limit of the AGC unit in the zone, P0 indicates the current actual output of the unit; K DOWN Indicates the lower adjustment range, P down_max Indicates the actual lower limit of the unit’s available regulation; R up Represents the upward adjustment rate, R i,up Indicates the actual adjustment rate of all AGC units i with upper adjustment space in the partition; R DOWN Represents the down regulation capability, R i,down It represents the actual down-regulation rate of all AGC units i with down-regulation space in the partition;

[0063] The evaluation calculation formula of the ultra-short-term balance margin is:

[0064]

[0065]

[0066] Where M 省 It is the ultra-short-term balance margin; The maximum adjustable output of all direct-controlled thermal power units. Considering the self-use of self-provided units, the output remains basically unchanged. It is the sum of the maximum adjustable output of all directly-adjusted public thermal power and the actual output of self-provided units; is the maximum adjustable output of all direct-controlled hydropower units including pumped-storage units; P 风 , P 光 are the ultra-short-term predicted outputs of wind power and photovoltaic power respectively; P L is the ultra-short-term load forecast of the system; P 联络线 is the tie line plan; M is the real-time ultra-short-term balance margin, M min A certain proportion will be retained according to the predicted maximum load of the entire network.

[0067] Furthermore, among the sub-indicators of the new energy consumption level assessment indicator,

[0068] The real-time section constraint obstruction is evaluated according to the proportion of section constraint obstruction power to the available power generation capacity of clean energy, and the evaluation calculation formula is:

[0069]

[0070] Where P J It represents the proportion of the power blocked by section constraints to the available power generation capacity of clean energy; ΔP G For the section restraint blocked electricity; The sum of the electricity generated by clean energy;

[0071] The evaluation calculation formula for the ultra-short-term section constraint obstruction is:

[0072]

[0073]

[0074] Where P i,t is the predicted available output of renewable energy in section i at time t, G i,t is the minimum output of other units in section i at time t, L i,t is the load at time t in section i, S i,t is the limit of section i at time t, ΔP G,i,t P is the section constraint blocked power of section i at time t; J It represents the proportion of the power blocked by section constraints to the available power generation capacity of clean energy; ΔP G For the section restraint blocked electricity; The sum of the electricity generated by clean energy;

[0075] The real-time peak load constraint is blocked and evaluated according to the proportion of peak load constraint blocked power to the available power generation capacity of new energy. The evaluation calculation formula is:

[0076]

[0077] Where P J Indicates the proportion of peak load constraint blocked power to available power output; ΔP S To constrain blocked electricity for peak load regulation; The sum of the electricity generated by clean energy;

[0078] The evaluation calculation formula for the ultra-short-term peak load constraint obstruction is:

[0079]

[0080]

[0081] In the formula, ΔP S To ensure the margin for new energy consumption, The minimum adjustable output of all direct-controlled thermal power units. Considering that the self-provided units generate electricity for their own use, the output remains basically unchanged. It is the sum of the minimum adjustable output of all directly-controlled public thermal power units and the actual output of self-provided thermal power units; is the minimum adjustable output of all direct-controlled hydropower units including pumped-storage units; P 风 , P 光 are the ultra-short-term predicted outputs of wind power and photovoltaic power respectively; P L is the ultra-short-term load forecast of the system; P 联络线 For the contact line plan, is the minimum negative reserve capacity of the entire network; P J It represents the proportion of peak-shaving constrained electricity to the available clean energy generation capacity; ΔP G To constrain blocked electricity for peak load regulation; The sum of the electricity generated by clean energy;

[0082] The evaluation calculation formula for the new energy utilization rate is:

[0083]

[0084] The evaluation calculation formula of the new energy simultaneous rate is:

[0085]

[0086] Furthermore, among the sub-indicators of the carbon emission level assessment indicator,

[0087] The evaluation calculation formula for the real-time rate of carbon emissions is:

[0088] R=∑(P i ×e i )(37),

[0089] Where R is the real-time rate of carbon emissions from electricity; P i The real-time active output of the i-th unit; e i is the carbon emission per kilowatt-hour of the i-th unit;

[0090] The calculation formula for evaluating the carbon emission intensity is:

[0091] E g =R / P g =∑(P i ×e i ) / P g (38),

[0092] E1=R / P g =∑(P i ×e i ) / P1 (39),

[0093] In the formula, E g is the carbon emission generated by the unit power generation of the whole network; R is the real-time rate of carbon emission of electricity; P g is the real-time total power generation output in the grid; P i The real-time active output of the i-th unit; e i is the carbon emission per kWh of the i-th unit; E1 is the carbon emission generated by the unit power consumption of the whole network; P1 is the real-time total power load in the network;

[0094] The calculation formula for evaluating the proportion of zero-carbon electricity is:

[0095] NCI g =[1-(P 燃 / P g )]×100%(40),

[0096] NCI1=[1-(P 燃 / P1)]×100%(41),

[0097] In the formula, NCI g The proportion of zero-carbon electricity for power generation; P 燃 Provide real-time power generation for coal-fired and gas-fired units across the entire network; g is the real-time power generation output of the entire network; NCI1 is the proportion of zero-carbon electricity in electricity consumption; P l Real-time power load of the entire network;

[0098] The evaluation formula for the inter-regional power transmission carbon reduction rate is:

[0099] R i =P i ×NCI i ×E i (42),

[0100] In the formula, R i The real-time carbon emission reduction rate of inter-regional power transmission; P i Transmit power to the tie line; NCI i The cleaning ratio of the connecting line; E i The average carbon emissions per kilowatt-hour of thermal power units at the receiving end of the interconnection line;

[0101] The evaluation calculation formula of the power utilization is:

[0102]

[0103]

[0104]

[0105] Furthermore, the evaluation result division method is: based on the calculation results of the sub-indicators of static safety level, the sub-indicators of balancing and regulating capacity, the sub-indicators of new energy consumption level, and the sub-indicators of carbon emission level, combined with the operation requirements of the new energy power grid, they are divided into normal state, alarm state, and emergency state.

[0106] The present invention also proposes an evaluation system for the real-time operation status of a new energy power grid, including a new energy power grid evaluation index system establishment module, an evaluation index calculation module, an evaluation result division module, and a hierarchical comprehensive evaluation module.

[0107] The new energy power grid evaluation index system establishment module is used to set multi-level evaluation indicators according to the operating conditions of the new energy power grid, including static safety level, balance regulation capability, new energy consumption level and carbon emission level, and group the evaluation indicators according to the dominance relationship and link them into an orderly evaluation hierarchy structure, and establish a new energy power grid evaluation index system based on the evaluation hierarchy structure.

[0108] The evaluation index calculation module is used to calculate various evaluation indicators in the new energy power grid evaluation index system according to the operating status parameters of the new energy power grid.

[0109] The evaluation result division module is used to divide the evaluation results of each evaluation indicator according to the calculation results of each evaluation indicator and based on the operation requirements of the new energy power grid.

[0110] The hierarchical comprehensive evaluation module is used to adopt a hierarchical progressive method, for a certain level of evaluation indicators, select the most serious evaluation result among the evaluation indicators of the next level as the evaluation result of the evaluation indicators of this level, complete the evaluation of the evaluation indicators of the previous level based on the evaluation results of the evaluation indicators of this level, and use the most serious evaluation result of the evaluation indicators of this level as the evaluation result of the evaluation indicators of the previous level, so as to realize a hierarchical comprehensive evaluation of the real-time operation status of the new energy power grid.

[0111] The present invention also proposes an electronic device, comprising: a memory and a processor, the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the computer instructions to implement the method for evaluating the real-time operating status of the new energy power grid as described above.

[0112] The present invention also proposes a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the method for evaluating the real-time operating status of the new energy power grid as described above is implemented.

[0113] Compared with the prior art, the present invention establishes a new energy grid evaluation index system consisting of multi-level evaluation indicators based on the operation status of the new energy grid, including static safety level, balance regulation capability, new energy consumption level and carbon emission level, and calculates and divides the evaluation results of each evaluation indicator. Finally, a hierarchical progressive method is used to conduct a hierarchical comprehensive evaluation of the real-time operation status of the new energy grid. The new energy grid evaluation index system established by the present invention from the perspective of practicality improves the indicators of the safety and stability level and balance regulation capability of the grid, adds indicators reflecting the new energy consumption capability, uses daily grid operation data to cover all aspects of grid operation, and realizes online real-time evaluation of grid operation status through operation data collection, solving the problem that the new power system is complex, the operation data is huge, and the dispatcher cannot perceive the grid operation status in real time from the massive grid operation data. The present invention can intuitively, quickly, accurately and comprehensively evaluate the real-time operation level of the grid, improve the dispatcher's perception of grid anomalies, improve the overall grasp of the overall operation status of the large grid, and further improve the reliability and stability of grid operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0114] Figure 1 The figure is a flow chart of the method of the present invention.

[0115] Figure 2 It is a schematic diagram of the new energy grid evaluation index system of the present invention.

[0116] Figure 3 It is a system architecture diagram of the present invention. DETAILED DESCRIPTION

[0117] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0118] Example 1

[0119] The evaluation method of the real-time operation status of the new energy power grid is as follows: Figure 1 As shown, the details are as follows.

[0120] First, according to the operating conditions of the new energy power grid, including static safety level, balancing and regulation capability, new energy consumption level and carbon emission level, multi-level evaluation indicators are set, and the evaluation indicators are grouped according to the dominant relationship and linked into an orderly evaluation hierarchy. Based on the evaluation hierarchy, a new energy power grid evaluation indicator system is established.

[0121] Specifically, the schematic diagram of the new energy grid evaluation index system is as follows: Figure 2As shown, the multi-level evaluation indicators of the new energy power grid evaluation index system are: first-level evaluation indicators, second-level evaluation indicators, and third-level evaluation indicators.

[0122] The first-level assessment indicators include: static safety level, balance and regulation capability, new energy consumption level, and carbon emission level.

[0123] The second-level evaluation indicators are sub-indicators of each evaluation indicator in the first-level evaluation indicators.

[0124] The sub-indicators of the static safety level assessment index include: line overload safety margin, main transformer overload safety margin, bus voltage safety level, section safety margin, and frequency safety margin.

[0125] The sub-indicators of the balancing and regulation capability assessment index include: spinning reserve, negative reserve, dispatchable load, orderly power consumption, AGC regulation capability, and ultra-short-term balancing margin.

[0126] The sub-indicators of the new energy consumption level assessment index include: real-time section constraints obstructed, ultra-short-term section constraints obstructed, real-time peak-shaving constraints obstructed, ultra-short-term peak-shaving constraints obstructed, new energy utilization rate, and new energy simultaneous rate.

[0127] The sub-indicators of the carbon emission level assessment index include: real-time carbon emission rate, carbon emission intensity, proportion of zero-carbon electricity, cross-regional power transmission carbon reduction rate, and power supply utilization rate.

[0128] The three-level evaluation indicators are: the safety margin of a single device in the line overload safety margin, the safety margin of a single device in the main transformer overload safety margin, the safety margin of a single device in the bus voltage safety margin, and the safety margin of a single device in the section safety margin.

[0129] Then, according to the operating status parameters of the new energy grid, each evaluation index in the new energy grid evaluation index system is calculated;

[0130] According to the calculation results of each evaluation indicator, the evaluation results of each evaluation indicator are divided based on the operation requirements of the new energy power grid. Specifically, according to the calculation results of the sub-indicators of static safety level, balance regulation capability, new energy consumption level, and carbon emission level, combined with the operation requirements of the new energy power grid, they are divided into normal state, alarm state, and emergency state. Among them, in order to more intuitively display the evaluation results, the normal state is marked in green, the alarm state is marked in yellow, and the emergency state is marked in red.

[0131] The calculation of each evaluation indicator and the division of evaluation results are explained in detail below.

[0132] The calculation and evaluation results of the sub-indicators of the static safety level evaluation indicator are described in detail as follows.

[0133] The evaluation formula for line overload safety margin is:

[0134]

[0135]

[0136]

[0137] Where η line,i is the line overload safety margin of the i-th line; N is the number of transmission lines in the entire network; I real,i is the actual current of the ith line; I N,i is the allowable current carrying capacity of the ith line; F <60％ Represents the ratio of the number of lines with overload safety margin < 60% to the total number of lines in the network, N <0％ Represents the number of lines in the entire network with line overload safety margin <0%, i.e., the line current overload flow.

[0138] In the assessment of the overload safety margin of a single transmission line, it is divided into normal, warning and emergency states. For 220kV and above lines, 60% ≤ η line,i When ≤100%, it is evaluated as normal state, 0≤η line,i <60%, it is evaluated as an alarm state, η line,i When <0, it is assessed as an emergency state, as shown in Table 1.

[0139] Table 1 Overload safety margin threshold of a single transmission line

[0140]

[0141] In the evaluation of the overload safety margin of the entire network line, the proportion of alarm number F <60％ and the number of emergency N <0％ Comprehensive evaluation is carried out and divided into normal, alarm and emergency states. For 220kV and above lines, F <60％ ≤10% and N <0％ =0, the evaluation is normal, F <60％ >10% and N <0％ =0, the evaluation is an alarm state, N <0％ When ≥1, it is assessed as an emergency state, as shown in Table 2 .

[0142] Table 2 Overload safety margin thresholds for transmission lines across the entire network

[0143]

[0144] The evaluation formula for the main transformer overload safety margin is:

[0145]

[0146]

[0147]

[0148] Wherein, N is the total number of main transformers in the whole network, and η transf,i is the overload safety margin of the i-th main transformer, and P i , Q i are respectively the actual active power and reactive power of the high / middle voltage side of the i-th main transformer, and S N,i is the rated apparent power of the high / middle voltage side of the i-th main transformer; F <35％ represents the proportion of the number of main transformers with an overload safety margin of the main transformer < 35% in the total number of main transformers in the whole network, and N <0％ represents the total number of main transformers in the whole network with an overload safety margin of the main transformer < 0%, that is, the main transformer current exceeds the rated current.

[0149] In the evaluation of the overload safety margin of a single main transformer, it is divided into normal, warning, and emergency states. For main transformers of 220 kV and above, when 35% ≤ η transf,i ≤ 100%, it is evaluated as the normal state, and when 0 ≤ η transf,i < 35%, it is evaluated as the warning state, and when η transf,i < 0, it is evaluated as the emergency state, as shown in Table 3.

[0150] Table 3 Threshold of overload safety margin of a single main transformer

[0151]

[0152] In the evaluation of the overload safety margin of the main transformers in the whole network, combined with the proportion of the number of warnings F <60％ and the number of emergencies N <0％ for comprehensive evaluation, it is divided into normal, warning, and emergency states. For main transformers of 220 kV and above, when F < 35％ ≤ 20% and N < 0％ = 0, it is evaluated as the normal state, and when F < 35％ > 20% and N < 0％ = 0, it is evaluated as the warning state, and when N < 0％ ≥ 1, it is evaluated as the emergency state, as shown in Table 4.

[0153] Table 4 Threshold of overload safety margin of the main transformers in the whole network

[0154]

[0155] The evaluation calculation formula for the safety level of the bus voltage is:

[0156]

[0157]

[0158]

[0159]

[0160]

[0161] Where N is the number of busbars in the entire network, η V,i is the bus voltage safety level of the ith bus, V max,i is the upper limit of the voltage of the ith bus; V min,i is the lower limit of the voltage of the ith bus; V i is the actual voltage of the ith bus; F <10％ 、F >90％ The ratio of the number of buses with a bus voltage safety level of <10% and >90% to the number of buses in the entire network, N <0％ 、N >100％ Represents the number of bus bars in the entire network with voltages above the lower and upper limits.

[0162] In the assessment of the voltage safety level of a single bus, 10% ≤ η V,i ≤90%, it is considered normal, low voltage 0≤η V,i <10%, high voltage 90%<η V,i When ≤100%, it is evaluated as an alarm state, low voltage η V,i <0, high voltage η V,i When >100%, it is assessed as an emergency state, as shown in Table 5.

[0163] Table 5 Single bus voltage safety level threshold

[0164]

[0165] In the assessment of the safety level of the bus voltage of the entire network, combined with F <10％ 、F >90％ (F<10%, F>90% represents the proportion of buses with bus voltage safety level <10% and >90% to the total number of buses in the network) and N <0％ 、N >100％ (N<0%, N>100% represents the number of buses in the entire network with lower and upper voltage limits) for comprehensive evaluation, F ＜10％ +F ＞90％ ≤20% and N ＜0％ =N ＞100％ =0, the evaluation is normal, F ＜10％ +F ＞90％ >20% and N ＜0％ =N ＞100％ =0, the evaluation is an alarm state, N ＜0％ ≥1 or N＞100％ When ≥1, it is assessed as an emergency state, as shown in Table 6.

[0166] Table 6 Grid-wide bus voltage safety level thresholds

[0167]

[0168] The calculation formula for evaluating the section safety margin is:

[0169]

[0170]

[0171]

[0172] Where N is the number of sections in the entire network, η fg,i is the section safety margin of the i-th section, P real,i is the active power of the line composed of the i-th section; P N,i is the stability limit of the i-th section; F <10％ Represents the ratio of the number of sections with section safety margin <10% to the total number of sections in the network, N <0％ Represents the number of sections in the entire network where the section safety margin is <0%, i.e., the section exceeds the limit.

[0173] In the evaluation of the safety margin of a single section, 10% ≤ η fg,i When ≤100%, it is evaluated as normal state, 0≤η fg,i <10%, it is evaluated as an alarm state, η fg,i When <0, it is assessed as an emergency state, as shown in Table 7.

[0174] Table 7 Single section overload safety margin threshold

[0175]

[0176] In the evaluation of the safety margin of the whole network section, F <10％ ≤50% and N <0％ =0, the evaluation is normal, F <10％ >50% and N <0％ =0, the evaluation is an alarm state, N <0％ When ≥1, it is assessed as an emergency state, as shown in Table 8.

[0177] Table 8 Overload safety margin threshold of the whole network section

[0178]

[0179] The evaluation formula for frequency safety margin is:

[0180] Δf=ffN (15)

[0181] Where, f is the real-time frequency; f N The rated frequency is 50Hz;

[0182] In the evaluation of the frequency safety margin, if Δf deviates within 0.1 Hz, it is evaluated as a normal state; if Δf deviates by 0.1-0.2 Hz, it is evaluated as an alarm state; if Δf deviates by more than 0.2 Hz, it is evaluated as an emergency state, as shown in Table 9.

[0183] Table 9 Frequency safety margin threshold

[0184]

[0185] The calculation and evaluation results of the sub-indicators of the balance regulation ability evaluation index are described in detail as follows.

[0186] The evaluation formula for spinning reserve is:

[0187]

[0188] R g =P max -P resist -P real (17)

[0189]

[0190] In the formula, R 省 Provides spinning reserve for the entire network; The backup provided for all direct-controlled thermal power units is considered to be self-generated and self-used by self-provided units, and remains basically unchanged throughout the day. It refers only to the spinning reserve provided by all directly dispatched public thermal power; Spinning reserve provided for all direct-controlled hydropower including pumped storage units; R g , P max , P resist , P real They are the spinning reserve provided by the unit, the maximum adjustable power of the unit, the blocked power of the unit and the actual output of the unit; R is the real-time spinning reserve, R min Minimum backup requirement.

[0191] In the evaluation of spinning reserve, if P≥1.1, it is evaluated as a normal state, if 1≤P<1.1, it is evaluated as an alarm state, and if P<1, it is evaluated as an emergency state, as shown in Table 10.

[0192] Table 10 Spinning reserve evaluation thresholds

[0193]

[0194] The evaluation formula for negative reserve is:

[0195]

[0196] R Rneg =P real -P min (20)

[0197]

[0198] In the formula, It is a backup for the whole network. It is the negative reserve of all thermal power units. Considering the self-generation and self-use of self-provided units, it remains basically unchanged throughout the day. It only refers to the negative reserve provided by all directly dispatched public thermal power. is the negative reserve of all hydropower units including pumped storage units; R Rneg , R real , P min They are the negative reserve, actual output and minimum adjustable output provided by the unit; R neg For real-time negative backup, is the minimum negative reserve requirement.

[0199] In the evaluation of negative standby, if P≥1, it is evaluated as a normal state, and if P≥1, it is evaluated as an alarm state, as shown in Table 11.

[0200] Table 11 Negative standby evaluation threshold

[0201]

[0202] The dispatchable load is marked as Q k , the dispatchable load is evaluated using the ratio of the actual dispatchable load capacity to the expected dispatchable load capacity. The evaluation formula is:

[0203]

[0204] In the formula, Q e Indicates that there should be dispatchable load capacity;

[0205] In the evaluation of spinning reserve, if K≥1.2, it is evaluated as a normal state, if 1≤K<1.2, it is evaluated as an alarm state, and if K<1, it is evaluated as an emergency state, as shown in Table 12.

[0206] Table 12 Dispatchable load evaluation thresholds

[0207]

[0208] Orderly power consumption is marked as P k, use the actual orderly power consumption and the set threshold to evaluate the orderly power consumption index, and divide it into normal, warning, and emergency states according to the threshold. For example, the alarm threshold of the orderly power consumption of the whole network is 0MW, the emergency threshold is the orderly power consumption decomposition index of 6000MW, the alarm threshold of the orderly power consumption of each region is 0MW, and the emergency threshold is the regional decomposition index corresponding to the orderly power consumption decomposition index of 6000MW of the whole network. The recommended division of the state of orderly power consumption of the whole network is shown in Table 13.

[0209] Table 13 Evaluation thresholds for orderly electricity use

[0210]

[0211] The evaluation formula for AGC regulation ability is:

[0212] K UP =∑P up_max -∑P0(23),

[0213] K DOWN =∑P0-∑P down_max (twenty four),

[0214] R UP =∑R i,up (25),

[0215] R DOWN =∑R i,down (26),

[0216] Among them, K UP Indicates the upper adjustment range, P up_max Indicates the actual available adjustment upper limit of the AGC unit in the zone, P0 indicates the current actual output of the unit; K DOWN Indicates the lower adjustment range, P down_max Indicates the actual lower limit of the unit’s available regulation; R up Represents the upward adjustment rate, R i,up Indicates the actual adjustment rate of all AGC units i with upper adjustment space in the partition; R DOWN Represents the down regulation capability, R i,down Indicates the actual downward adjustment rate of all AGC units i with downward adjustment space in the zone. This indicator only displays the value and does not evaluate the indicator value.

[0217] The evaluation formula for the ultra-short-term balance margin is:

[0218]

[0219]

[0220] Where M 省 It is the ultra-short-term balance margin; The maximum adjustable output of all direct-controlled thermal power units. Considering the self-use of self-provided units, the output remains basically unchanged. It is the sum of the maximum adjustable output of all directly-adjusted public thermal power and the actual output of self-provided units; is the maximum adjustable output of all direct-controlled hydropower units including pumped-storage units; P 风 , P 光 are the ultra-short-term predicted outputs of wind power and photovoltaic power respectively; P L is the ultra-short-term load forecast of the system; P 联络线 is the tie line plan; M is the real-time ultra-short-term balance margin, M min A certain proportion shall be reserved according to the predicted maximum load of the entire network;

[0221] In the evaluation of the ultra-short-term balance margin, if P≥1.1, it is evaluated as a normal state; if 1≤P<1.1, it is evaluated as an alarm state; and if P<1, it is evaluated as an emergency state, as shown in Table 14.

[0222] Table 14 Ultra-short-term balance margin evaluation thresholds

[0223]

[0224] The calculation and evaluation results of the sub-indicators of the new energy consumption level evaluation index are described in detail as follows.

[0225] The evaluation calculation formula for the real-time section constraint obstruction is as follows: during the operation of the spot market, the principle for judging the power of the real-time section constraint obstruction is: when the thermal power reserve is ≥500MW and the section flow / section limit is >90%, it is considered that the power abandonment at this time is section abandonment. When there is section abandonment in the section to which the station belongs, the station is section abandonment; during the period when the spot market is not opened, the principle for judging the power of the real-time section constraint obstruction is: when the section flow / section limit is >95%, enter the section abandonment calculation, and when the section flow / section limit is ≤92%, exit the section abandonment calculation. When there is section abandonment in the section to which the station belongs, the station is section abandonment; the real-time section constraint obstruction is evaluated according to the proportion of the power of the section constraint obstruction in the available power generation capacity of clean energy, and the evaluation calculation formula is as follows:

[0226]

[0227] Where P J It represents the proportion of the power blocked by section constraints to the available power generation capacity of clean energy; ΔP G For the section restraint blocked electricity; The sum of the electricity generated by clean energy;

[0228] In the evaluation of real-time cross-sectional constraints, P J =0%, evaluated as normal state, P J>0%, it is evaluated as an alarm state, as shown in Table 15.

[0229] Table 15 Real-time section obstruction evaluation threshold

[0230]

[0231] The calculation formula for evaluating the obstruction of ultra-short-term section constraints is:

[0232]

[0233]

[0234] Where P i,t is the predicted available output of renewable energy in section i at time t, G i,t is the minimum output of other units in section i at time t, L i,t is the load at time t in section i, S i,t is the limit of section i at time t, ΔP G,i,t P is the section constraint blocked power of section i at time t; J It represents the proportion of the power blocked by section constraints to the available power generation capacity of clean energy; ΔP G For the section restraint blocked electricity; The sum of the electricity generated by clean energy;

[0235] In the evaluation of the ultra-short-term section constraint obstruction, P J =0%, evaluated as normal state, P J >0%, it is evaluated as an alarm state, as shown in Table 16.

[0236] Table 16 Ultra-short-term section obstruction evaluation threshold

[0237]

[0238]

[0239] During the operation of the spot market, the principle for judging the power blocked by the real-time grid peak load regulation constraint is: when the thermal power reserve is less than 500MW, the power abandonment generated at this time is considered as peak load abandonment, and the abandoned power generated by each station is considered as peak load abandonment; when the spot market is not opened, the principle for judging the power blocked by the real-time grid peak load regulation constraint is: when the total network output / the total network limit is greater than 95%, the peak load abandonment calculation is entered, and when the total network output / the total network limit is ≤92%, the peak load abandonment calculation is exited, and the abandoned power generated by each station is considered as peak load abandonment. The real-time peak load regulation constraint is blocked and evaluated according to the proportion of peak load regulation constraint blocked power in the available power generation capacity of new energy. The evaluation calculation formula is:

[0240]

[0241] Where P J Indicates the proportion of peak load constraint blocked power to available power output; ΔP S To constrain blocked electricity for peak load regulation; The sum of electricity generated by clean energy.

[0242] In the evaluation of real-time peak load constraints, P J =0%, evaluated as normal state, 0%<P J ≤30%, assessed as an alarm state, P J >30%, it is assessed as an emergency state; as shown in Table 17.

[0243] Table 17 Real-time peak load obstruction evaluation threshold

[0244]

[0245] The calculation formula for evaluating the obstruction of ultra-short-term peak load regulation is:

[0246]

[0247]

[0248] In the formula, ΔP S To ensure the margin for new energy consumption, The minimum adjustable output of all direct-controlled thermal power units. Considering that the self-provided units generate electricity for their own use, the output remains basically unchanged. It is the sum of the minimum adjustable output of all directly-controlled public thermal power units and the actual output of self-provided thermal power units; is the minimum adjustable output of all direct-controlled hydropower units including pumped-storage units; P 风 , P 光 are the ultra-short-term predicted outputs of wind power and photovoltaic power respectively; P L is the ultra-short-term load forecast of the system; P 联络线 For the contact line plan, is the minimum negative reserve capacity of the entire network; P J It represents the proportion of peak-shaving constrained electricity to the available clean energy generation capacity; ΔP G To constrain blocked electricity for peak load regulation; The sum of the electricity generated by clean energy;

[0249] In the assessment of the ultra-short-term peak load constraints, P J =0%, evaluated as normal state, 0%<P J ≤30%, assessed as an alarm state, P J >30%, it is assessed as an emergency state; as shown in Table 18.

[0250] Table 18 Evaluation thresholds for ultra-short-term peak load regulation obstruction

[0251]

[0252] The evaluation formula for the utilization rate of new energy is:

[0253]

[0254] In the evaluation of the utilization rate of new energy, when photovoltaic power ≥96% and wind power ≥90%, the evaluation is normal; when photovoltaic power <96% and wind power <90%, the evaluation is alarm, as shown in Table 19.

[0255] Table 19 Evaluation thresholds for new energy utilization

[0256]

[0257] The evaluation formula for the new energy simultaneous rate is:

[0258]

[0259] In the assessment of the new energy simultaneity rate, when photovoltaic power is ≥50% and wind power is ≥30%, it is assessed as a normal state; when photovoltaic power is <50% and wind power is <30%, it is assessed as an emergency state, as shown in Table 20.

[0260] Table 20 Evaluation thresholds for new energy simultaneous rate

[0261]

[0262] The calculation details of the sub-indicators of the carbon emission level assessment indicator are described below.

[0263] The calculation formula for evaluating the real-time rate of carbon emissions is:

[0264] R=∑(P i ×e i )(36),

[0265] Where R is the real-time rate of carbon emissions from electricity; P i The real-time active output of the i-th unit; e i is the carbon emission per kilowatt-hour of the i-th unit;

[0266] The calculation formula for evaluating the carbon emission intensity is:

[0267] E g =R / P g =∑(P i ×e i ) / P g (37),

[0268] E1=R / P g =∑(P i ×e i) / P1 (38),

[0269] In the formula, E g is the carbon emission generated by the unit power generation of the whole network; R is the real-time rate of carbon emission of electricity; P g is the real-time total power generation output in the grid; P i The real-time active output of the i-th unit; e i is the carbon emission per kilowatt-hour of electricity of the i-th unit; E1 is the carbon emission generated by the unit electricity consumption of the whole network; P1 is the real-time total electricity load in the network.

[0270] The calculation formula for evaluating the proportion of zero-carbon electricity is:

[0271] NCI g =[1-(P 燃 / P g )]×100%(39),

[0272] NCI1=[1-(P 燃 / P1)]×100%(40),

[0273] In the formula, NCI g The proportion of zero-carbon electricity for power generation; P 燃 Provide real-time power generation for coal-fired and gas-fired units across the entire network; g is the real-time power generation output of the entire network; NCI1 is the proportion of zero-carbon electricity in electricity consumption; P l Real-time power load of the entire network;

[0274] The evaluation formula for the carbon reduction rate of inter-regional power transmission is:

[0275] R i =P i ×NCI i ×E i (41),

[0276] In the formula, R i The real-time carbon emission reduction rate of inter-regional power transmission; P i Transmit power to the tie line; NCI i The cleaning ratio of the connecting line; E i The average carbon emissions per kilowatt-hour of thermal power units at the receiving end of the interconnection line;

[0277] The calculation formula for evaluating power utilization is:

[0278]

[0279]

[0280]

[0281] The evaluation results of the sub-indicators of the carbon emission level evaluation index can be determined based on the actual new energy grid operation needs. Since there are no relevant industry evaluation standards for carbon emission indicators, they are only monitored but not evaluated.

[0282] Finally, a hierarchical method is adopted. For a certain level of evaluation indicators, the most serious evaluation result among the evaluation indicators at the next level is selected as the evaluation result of the evaluation indicator at this level. The evaluation of the evaluation indicators at the previous level is completed based on the evaluation results of the evaluation indicators at this level. The most serious evaluation result among the evaluation indicators at this level is taken as the evaluation result of the evaluation indicators at the previous level, so as to realize a hierarchical comprehensive evaluation of the real-time operation status of the new energy power grid.

[0283] The overall evaluation principle is "grading evaluation and summarizing at each level". According to the "Grid Operation Guidelines", "Power System Safety and Stability Guidelines", "Dispatch Management Regulations" and other industry standards, enterprise standards or normative documents, the indicator calculation results are divided into normal, alarm and emergency states using the "indicator + alarm" model. Based on the above principles, the evaluation of the second and third level indicators of static safety level and the second level indicators of balance regulation capacity and new energy consumption level is completed.

[0284] Based on the calculation results of key indicators, the "indicator + alarm" model is used to divide the power grid operation status into normal, alarm, and emergency states. The evaluation results of various secondary indicators and tertiary indicators are extracted from the static safety level, balance regulation capability, and new energy consumption. Based on the evaluation results of the tertiary indicators, the most serious alarm level is selected as the evaluation result of the secondary indicator. On the basis of the secondary indicators, they are summarized in turn, and the most serious alarm level is selected as the evaluation result of the primary indicator. Evaluation strategies have been established for the first and second level indicators of static safety level, balance regulation capability, and new energy consumption. Carbon emission indicators are only monitored but not evaluated because there are no relevant industry evaluation standards.

[0285] More specifically, the "indicator + alarm + visualization" model can be adopted to update the visualization elements in real time according to the indicator evaluation results to display the different operating states of the power grid. Visualization elements are designed according to the physical meaning and evaluation requirements of each operating indicator. Combining data analysis with visualization technology can improve the perception of each operating indicator.

[0286] Example 2

[0287] The evaluation system for the real-time operation status of the new energy power grid is shown in the following figure: Figure 3 As shown, it consists of a new energy power grid evaluation index system establishment module, an evaluation index calculation module, an evaluation result division module, and a hierarchical comprehensive evaluation module.

[0288] The module for establishing the new energy power grid evaluation index system is used to set multi-level evaluation indicators according to the operating conditions of the new energy power grid, including static safety level, balance regulation capability, new energy consumption level and carbon emission level, and to group the evaluation indicators according to the dominance relationship and link them into an orderly evaluation hierarchy, and establish the new energy power grid evaluation index system based on the evaluation hierarchy.

[0289] The evaluation index calculation module is used to calculate various evaluation indicators in the new energy power grid evaluation index system according to the operating status parameters of the new energy power grid.

[0290] The evaluation result division module is used to divide the evaluation results of each evaluation indicator based on the calculation results of each evaluation indicator and the operation requirements of the new energy power grid.

[0291] The hierarchical comprehensive evaluation module is used to adopt a hierarchical progressive method. For a certain level of evaluation indicators, the evaluation result of the most serious evaluation indicator of the next level is selected as the evaluation result of the evaluation indicator of a certain level. Based on the evaluation result of the evaluation indicator of a certain level, the evaluation of the evaluation indicator of the previous level is completed. The evaluation result of the most serious evaluation indicator of a certain level is used as the evaluation result of the evaluation indicator of the previous level, and the real-time operation status of the new energy power grid is evaluated in a hierarchical and comprehensive manner.

[0292] The implementation method of each module in the system is consistent with that described in Example 1 and will not be repeated here.

[0293] Example 3

[0294] An electronic device comprises: a memory and a processor, the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor implements the method for evaluating the real-time operation status of a new energy power grid described in Example 1 and the system for evaluating the real-time operation status of a new energy power grid described in Example 2 by executing the computer instructions.

[0295] Example 4

[0296] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the method for evaluating the real-time operation status of a new energy power grid described in Example 1 and the system for evaluating the real-time operation status of a new energy power grid described in Example 2.

[0297] Those skilled in the art will appreciate that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the application can adopt the form of complete hardware embodiment, complete software embodiment, or the embodiment in combination with software and hardware. Moreover, the application can adopt the form of the computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code. The scheme in the embodiment of the present application can be implemented in various computer languages, for example, object-oriented programming language Java, C++, Python and literal scripting language JavaScript, etc.

[0298] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0299] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0300] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0301] Although the preferred embodiments of the present application have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications falling within the scope of the present application.

[0302] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.

Claims

1. A method for evaluating the real-time operation status of a new energy power grid, characterized in that: include: According to the operation status of the new energy grid, including static safety level, balance regulation capability, new energy consumption level and carbon emission level, multi-level evaluation indicators are set, and the evaluation indicators are grouped and linked into an orderly evaluation hierarchy according to the dominant relationship, and a new energy grid evaluation indicator system is established based on the evaluation hierarchy; According to the operating status parameters of the new energy power grid, various evaluation indicators in the new energy power grid evaluation indicator system are calculated; According to the calculation results of each evaluation indicator, the evaluation results of each evaluation indicator are divided based on the operation requirements of the new energy power grid; A hierarchical method is adopted. For a certain level of evaluation indicators, the most serious evaluation result among the evaluation indicators at the next level is selected as the evaluation result of the evaluation indicator at this level. The evaluation of the evaluation indicators at the previous level is completed based on the evaluation results of the evaluation indicators at this level. The most serious evaluation result among the evaluation indicators at this level is used as the evaluation result of the evaluation indicators at the previous level, so as to realize a hierarchical comprehensive evaluation of the real-time operation status of the new energy power grid.

2. The method for evaluating the real-time operation status of a new energy power grid according to claim 1 is characterized in that: The multi-level evaluation indicators of the new energy grid evaluation indicator system include: first-level evaluation indicators, second-level evaluation indicators, and third-level evaluation indicators; The first-level evaluation indicators include static safety level, balance regulation capability, new energy consumption level, and carbon emission level; the second-level evaluation indicators are sub-indicators of each evaluation indicator in the first-level evaluation indicators; The sub-indicators of the static safety level assessment index include: line overload safety margin, main transformer overload safety margin, bus voltage safety level, section safety margin, and frequency safety margin; The sub-indicators of the balance regulation capability evaluation index include: spinning reserve, negative reserve, dispatchable load, orderly power consumption, AGC regulation capability, and ultra-short-term balance margin; The sub-indicators of the new energy consumption level assessment index include: real-time section constraint obstruction, ultra-short-term section constraint obstruction, real-time peak-shaving constraint obstruction, ultra-short-term peak-shaving constraint obstruction, new energy utilization rate, and new energy simultaneous rate; The sub-indicators of the carbon emission level assessment index include: real-time rate of carbon emission, carbon emission intensity, proportion of zero-carbon electricity, carbon reduction rate of inter-regional power transmission, and power supply utilization rate; The three-level evaluation indicators include: the safety margin of a single device in the line overload safety margin, the safety margin of a single device in the main transformer overload safety margin, the safety margin of a single device in the bus voltage safety margin, and the safety margin of a single device in the section safety margin.

3. The method for evaluating the real-time operation status of a new energy power grid according to claim 2 is characterized in that: Among the sub-indicators of the static safety level assessment indicator, The evaluation calculation formula of the line overload safety margin is: Where η line,i is the line overload safety margin of the i-th line; N is the number of transmission lines in the entire network; I real,i is the actual current of the ith line; I N,i is the allowable current carrying capacity of the ith line; F <60％ Represents the ratio of the number of lines with overload safety margin < 60% to the total number of lines in the network, N <0％ Represents the number of lines in the entire network with line overload safety margin <0%, i.e., line current overload flow; The evaluation calculation formula of the main transformer overload safety margin is: Where N is the number of main transformers in the whole network, η transf,i is the main transformer overload safety margin of the i-th main transformer, P i , Q i are the actual active power and reactive power on the high / medium voltage side of the i-th main transformer, S N,i F is the rated apparent power of the high / medium voltage side of the i-th main transformer; <35％ The ratio of the number of main transformers with overload safety margin <35% to the total number of main transformers in the network, N <0％ Represents the number of main transformers in the entire network whose main transformer overload safety margin is <0%, i.e., the main transformer current exceeds the rated current; The evaluation calculation formula for the bus voltage safety level is: Where N is the number of busbars in the entire network, η V,i is the bus voltage safety level of the ith bus, V max,i is the upper limit of the voltage of the ith bus; V min,i is the lower limit of the voltage of the ith bus; V i is the actual voltage of the ith bus; F <10％ 、F >90％ The ratio of the number of buses with a bus voltage safety level of <10% and >90% to the number of buses in the entire network, N <0％ 、N >100％ Represents the number of busbars in the entire network with voltages exceeding the lower and upper limits; The evaluation calculation formula of the section safety margin is: Where N is the number of sections in the entire network, η fg,i is the section safety margin of the i-th section, P real,i is the active power of the line composed of the i-th section; P N,i is the stability limit of the ith section; F <10％ Represents the ratio of the number of sections with section safety margin <10% to the total number of sections in the network, N <0％ Represents the number of sections in the entire network where the section safety margin is <0%, i.e., the section exceeds the limit; The evaluation calculation formula of the frequency safety margin is: f=f-f N (15), Where, f is the real-time frequency; f N The rated frequency is 50Hz.

4. The method for evaluating the real-time operation status of a new energy power grid according to claim 3 is characterized in that: Among the sub-indicators of the balance regulation ability evaluation indicator, The evaluation calculation formula of the spinning reserve is: R g =P max -P resist -P real (17), In the formula, R 省 Provides spinning reserve for the entire network; The backup provided for all directly controlled thermal power units is considered to be self-generated and self-used by self-provided units, and remains basically unchanged throughout the day. It refers only to the spinning reserve provided by all directly dispatched public thermal power; Spinning reserve provided for all direct-controlled hydropower including pumped storage units; R g , P max , P resist , P real They are the spinning reserve provided by the unit, the maximum adjustable power of the unit, the blocked power of the unit and the actual output of the unit; R is the real-time spinning reserve, R min Minimum backup requirement; The evaluation calculation formula of the negative reserve is: R Rneg =P real -P min (20), In the formula, It is a backup for the whole network. It is the negative reserve of all thermal power units. Considering the self-generation and self-use of self-provided units, it remains basically unchanged throughout the day. It only refers to the negative reserve provided by all directly dispatched public thermal power. is the negative reserve of all hydropower units including pumped storage units; R Rneg , R real , P min They are the negative reserve, actual output and minimum adjustable output provided by the unit; R neg For real-time negative backup, is the minimum negative reserve requirement; The dispatchable load is marked as Q k , the dispatchable load is evaluated using the ratio of the actual dispatchable load capacity to the expected dispatchable load capacity. The evaluation formula is: In the formula, Q e Indicates that there should be dispatchable load capacity; The orderly power consumption is marked as P k , using the actual orderly power consumption and the set threshold to evaluate the orderly power consumption index, and dividing it into normal, warning and emergency states according to the threshold; The evaluation calculation formula of the AGC regulation capability is: K UP =∑P up_max -∑P0 (23), K DOWN =∑P0-∑P down_max (24), R UP =∑R i,up (25), R DOWN =∑R i,down (26), Among them, K UP Indicates the upper adjustment range, P up_max It indicates the actual available adjustment upper limit of the AGC unit in the zone, and P0 indicates the current actual output of the unit; K DOWN Indicates the lower adjustment range, P down_max Indicates the actual available adjustment lower limit of the unit; R up Indicates the upward adjustment rate, R i,up It indicates the actual adjustment rate of all AGC units i with upper adjustment space in the partition; R DOWN Represents the down regulation capability, R i,down It represents the actual downward adjustment rate of all AGC units i with downward adjustment space in the partition; The evaluation calculation formula of the ultra-short-term balance margin is: Where M 省 It is the ultra-short-term balance margin; The maximum adjustable output of all direct-controlled thermal power units. Considering the self-use of self-provided units, the output remains basically unchanged. It is the sum of the maximum adjustable output of all directly-adjusted public thermal power and the actual output of self-provided units; is the maximum adjustable output of all direct-controlled hydropower units including pumped-storage units; P 风 , P 光 are the ultra-short-term predicted outputs of wind power and photovoltaic power respectively; P L is the ultra-short-term load forecast of the system; P 联络线 is the tie line plan; M is the real-time ultra-short-term balance margin, M min A certain proportion will be retained according to the predicted maximum load of the entire network.

5. The method for evaluating the real-time operation status of a new energy power grid according to claim 4 is characterized in that: Among the sub-indicators of the new energy consumption level assessment indicator, The real-time section constraint obstruction is evaluated according to the proportion of section constraint obstruction power to the available power generation capacity of clean energy, and the evaluation calculation formula is: Where P J It represents the proportion of the power blocked by section constraints to the available power generation capacity of clean energy; ΔP G For the section restraint blocked electricity; The sum of the electricity generated by clean energy; The evaluation calculation formula for the ultra-short-term section constraint obstruction is: Where P i,t is the predicted available output of renewable energy in section i at time t, G i,t is the minimum output of other units in section i at time t, L i,t is the load at time t in section i, S i,t is the limit of section i at time t, ΔP G,i,t P is the section constraint blocked power of section i at time t; J It represents the proportion of the power blocked by section constraints to the available power generation capacity of clean energy; ΔP G For the section restraint blocked electricity; The sum of the electricity generated by clean energy; The real-time peak load constraint is blocked and evaluated according to the proportion of peak load constraint blocked power to the available power generation capacity of new energy. The evaluation calculation formula is: Where P J Indicates the proportion of peak load constraint blocked power to available power output; ΔP S To constrain blocked electricity for peak load regulation; The sum of the electricity generated by clean energy; The evaluation calculation formula for the ultra-short-term peak load constraint obstruction is: In the formula, ΔP S To ensure the margin for new energy consumption, The minimum adjustable output of all direct-controlled thermal power units. Considering that the self-provided units generate electricity for their own use, the output remains basically unchanged. It is the sum of the minimum adjustable output of all directly-controlled public thermal power units and the actual output of self-provided thermal power units; is the minimum adjustable output of all direct-controlled hydropower units including pumped-storage units; P 风 , P 光 are the ultra-short-term predicted outputs of wind power and photovoltaic power respectively; P L is the ultra-short-term load forecast of the system; P 联络线 For the contact line plan, is the minimum negative reserve capacity of the entire network; P J It represents the proportion of peak-shaving constrained electricity to the available clean energy generation capacity; ΔP G To constrain blocked electricity for peak load regulation; The sum of the electricity generated by clean energy; The evaluation calculation formula for the new energy utilization rate is: The evaluation calculation formula of the new energy simultaneous rate is:

6. The method for evaluating the real-time operation status of a new energy power grid according to claim 5 is characterized in that: Among the sub-indicators of the carbon emission level assessment indicator, The evaluation calculation formula for the real-time rate of carbon emissions is: R=∑(P i ×e i ) (37), Where R is the real-time rate of carbon emissions from electricity; P i The real-time active output of the i-th unit; e i is the carbon emission per kilowatt-hour of the i-th unit; The calculation formula for evaluating the carbon emission intensity is: E g =R / P g =∑(P i ×e i ) / P g (38), E1=R / P g =∑(P i ×e i ) / P1 (39), In the formula, E g is the carbon emission generated by the unit power generation of the whole network; R is the real-time rate of carbon emission of electricity; P g is the real-time total power generation output in the grid; P i The real-time active output of the i-th unit; e i is the carbon emission per kWh of the i-th unit; E1 is the carbon emission generated by the unit power consumption of the whole network; P1 is the real-time total power load in the network; The calculation formula for evaluating the proportion of zero-carbon electricity is: NCI g =[1-(P 燃 / P g )]×100% (40), NCI1=[1-(P 燃 / P1)]×100% (41), In the formula, NCI g The proportion of zero-carbon electricity for power generation; P 燃 Provide real-time power generation for coal-fired and gas-fired units across the entire network; g is the real-time power generation output of the entire network; NCI1 is the proportion of zero-carbon electricity in electricity consumption; P l Real-time power load of the entire network; The evaluation formula for the inter-regional power transmission carbon reduction rate is: R i =P i ×NCI i ×E i (42), In the formula, R i The real-time carbon emission reduction rate of inter-regional power transmission; P i Transmit power to the tie line; NCI i The cleaning ratio of the connecting line; E i The average carbon emissions per kilowatt-hour of thermal power units at the receiving end of the interconnection line; The evaluation calculation formula of the power utilization is:

7. The method for evaluating the real-time operation status of a new energy power grid according to claim 6 is characterized in that: The evaluation results are divided into normal state, alarm state and emergency state according to the calculation results of the sub-indicators of static safety level, balance regulation capability, new energy consumption level and carbon emission level, combined with the operation requirements of new energy power grid.

8. A system for evaluating the real-time operation status of a new energy power grid implementing the method described in any one of claims 1 to 7, characterized in that: It includes the module for establishing the evaluation index system of new energy power grid, the module for calculating the evaluation index, the module for dividing the evaluation results, and the module for graded comprehensive evaluation; The new energy grid evaluation index system establishment module is used to set multi-level evaluation indicators according to the operating conditions of the new energy grid, including static safety level, balance regulation capability, new energy consumption level and carbon emission level, and group the evaluation indicators according to the dominance relationship and link them into an orderly evaluation hierarchy structure, and establish the new energy grid evaluation index system according to the evaluation hierarchy structure; The evaluation index calculation module is used to calculate each evaluation index in the new energy power grid evaluation index system according to the operating status parameters of the new energy power grid; The evaluation result division module is used to divide the evaluation results of each evaluation indicator based on the calculation results of each evaluation indicator and the operation requirements of the new energy power grid; The hierarchical comprehensive evaluation module is used to adopt a hierarchical progressive method, for a certain level of evaluation indicators, select the most serious evaluation result among the evaluation indicators of the next level as the evaluation result of the evaluation indicators of this level, complete the evaluation of the evaluation indicators of the previous level based on the evaluation results of the evaluation indicators of this level, and use the most serious evaluation result of the evaluation indicators of this level as the evaluation result of the evaluation indicators of the previous level, so as to realize a hierarchical comprehensive evaluation of the real-time operation status of the new energy power grid.

9. An electronic device, characterized in that: include: A memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor implements the method for evaluating the real-time operation status of a new energy power grid as described in any one of claims 1 to 7 by executing the computer instructions.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method for evaluating the real-time operation status of a new energy power grid as described in any one of claims 1 to 7 is implemented.

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