Thermal power plant two detailed rule assessment monitoring early warning and auxiliary decision making system and method

Abstract

The invention discloses a thermal power plant two detailed rule assessment monitoring early warning and auxiliary decision making system and method, the system comprises a data aggregation layer, a platform support layer and a business application layer, and the business application layer specifically comprises an index calculation module, a multi-level alarm module, a diagnostic analysis module, an assessment statistics module and a data management module; grid-connected assessment is carried out by taking a month as an assessment cycle, data required by assessment is obtained from an SIS system, a DCS system and a plant-network interaction platform through timing or manual triggering, assessment indexes, assessment amount and alarm indexes are calculated according to two detailed rule assessment rules, and the assessment results are displayed by displaying the two detailed rule assessment conditions. Therefore, the management personnel of the thermal power plant can quickly find and position the problem, and the purposes of comprehensively optimizing grid-connected operation management, reducing the assessment score and improving the profit of the power plant are achieved.

Description

Technical Field

[0001] The present invention relates to a monitoring, early warning and auxiliary decision-making system and method, and in particular to a two-rule assessment monitoring, early warning and auxiliary decision-making system and method for a thermal power plant. Background Art

[0002] In recent years, the National Energy Administration and power grid companies have strengthened the assessment of the "two rules" of thermal power companies to ensure the safe, high-quality and economical operation of the power system and improve the operation and management level of grid-connected generating units. However, since the assessment results are announced on a monthly basis, power plants are unable to obtain assessment information and locate assessment problems in a timely manner, resulting in the inability to resolve assessments in a timely manner and the continued expansion of assessment volume.

[0003] At present, most thermal power plants lack professional grid-connected operation analysis capabilities and are unable to fully and accurately simulate the provincial dispatch assessment calculation model. In addition, the amount of relevant data involved in the assessment is large and difficult to calculate and analyze manually. This technical difficulty has hindered the thermal power plants from effectively understanding and responding to the assessment results. This lack of timeliness and accuracy in the analysis of assessment information has not only affected the technical operation and maintenance efficiency of the power plant, but also limited the power plant's precise adjustment of production strategies and equipment control, resulting in economic losses. Summary of the invention

[0004] Purpose of the invention: The purpose of the invention is to provide a thermal power plant two-rule assessment monitoring early warning and auxiliary decision-making system to help power plants standardize operations, improve the level of grid-connected operation management, reduce assessment scores, and thus increase the overall benefits of power plants. On the other hand, a thermal power plant two-rule assessment monitoring early warning and auxiliary decision-making method is provided.

[0005] Technical solution: A thermal power plant two-rule assessment monitoring early warning and auxiliary decision-making system, including:

[0006] Data aggregation layer, used to aggregate and pre-process data from SIS system, DCS system and plant network interaction platform;

[0007] The platform support layer is used to provide microservice framework, system management and basic business service functions;

[0008] The business application layer is used to provide a human-computer interaction interface, analyze the reasons for the assessment, display the assessment situation, and provide auxiliary decision-making. The business application layer specifically includes:

[0009] An indicator calculation module is used to design an assessment indicator and an assessment amount calculation algorithm, and calculate the assessment indicator and the assessment amount. The assessment indicators include power generation plan assessment indicators, AGC performance assessment indicators, and adjustment capability assessment indicators;

[0010] The multi-level alarm module is used to design alarm algorithms, formulate alarm indicators and multi-level alarm thresholds, classify alarms, and issue alarms;

[0011] The diagnostic analysis module is used to trace back the reasons for the post-assessment, locate the smallest granularity of the over-limit assessment indicators, and analyze the reasons for the assessment;

[0012] The assessment statistics module is used to count and display assessment indicators and assessment amounts, and generate reporting reports;

[0013] The data management module is used to collect, store, maintain, calculate and configure the operation data of thermal power plants.

[0014] Preferably, the indicator calculation module includes:

[0015] The indicator configuration unit is used to implement the addition of assessment indicators, assessment amounts, and alarm status calculation algorithms;

[0016] The indicator management unit is used to query, modify and delete indicators;

[0017] Indicator publishing unit, used to publish and cancel indicators;

[0018] The recalculation unit is used to implement manually triggered calculation of indicators. Recalculation can be manually triggered when the configuration item is updated.

[0019] Preferably, the multi-level alarm module includes:

[0020] Intelligent alarm unit, used to monitor operating parameters in real time, and calculate AVC performance, primary frequency regulation performance, power generation plan curve tracking, AGC instruction execution. When the alarm index exceeds the preset range, an alarm is issued and graded processing is carried out;

[0021] The alarm setting unit is used to set corresponding alarm rules, provide alarm-related configurations, and classify alarms into multiple levels;

[0022] Alarm query unit, used to query historical alarms;

[0023] The alarm statistics unit is used to collect statistics and analyze alarm information.

[0024] Preferably, the diagnostic analysis module includes:

[0025] The traceability analysis unit is used to trace back the causes of the assessment amount;

[0026] The benchmarking analysis unit is used to achieve benchmarking of assessments at different times, in different shifts, and in different units. It supports vertical benchmarking of the same shift, the same unit, and different times, horizontal benchmarking of the same unit and different shifts, and benchmarking of different units.

[0027] Trend analysis unit, used to display summary results and assessment trends of each module, analyze assessment indicator change trends and real-time dynamic rankings;

[0028] The exemption simulation unit is used to perform exemption calculations and compare and analyze the results before and after the exemption.

[0029] Preferably, the assessment statistics module includes:

[0030] The assessment index statistical unit is used to present the simulation calculation results of the two detailed assessment indexes and the actual release results of the dispatching agency;

[0031] The assessment amount statistics unit is used to present the simulation calculation results of the assessment amounts of the two rules and the actual release results of the dispatching agency;

[0032] Intelligent reporting unit, used to automatically generate result reports and run analysis documents.

[0033] Preferably, the data management module includes:

[0034] Data acquisition unit, used to collect data from the power plant SIS, DCS system and plant network interaction platform and monitor the collection status and data quality;

[0035] Model management unit, used to provide visual data modeling and management functions, and configure data association relationships;

[0036] The parameter configuration unit is used to implement the parameter value configuration of the algorithm in the indicator calculation.

[0037] Preferably, the alarm algorithm is as follows:

[0038]

[0039] Among them, w load Indicates the early warning status of power generation curve assessment, the value is 0 or 1, and 1 indicates early warning; δ set represents the warning threshold, t set represents the observation time, p plan represents the planned power, p act Indicates actual power;

[0040]

[0041] Among them, w agc Indicates the AGC regulation performance assessment warning status, the value is 0 or 1, and 1 is a warning; L indicates the actual AGC regulation amount of the unit, Y indicates the AGC test time of the unit, S set Indicates the configured AGC adjustment rate warning threshold.

[0042] Preferably, the power generation plan assessment in the indicator calculation module includes two sub-items: load deviation assessment and electricity deviation assessment. The load deviation assessment calculates the load deviation rate, monthly load deviation rate and assessment amount based on the daily power generation load plan curve issued by the power grid dispatcher, and the electricity deviation assessment calculates the electricity deviation rate and assessment amount based on the overgeneration and undergeneration; the AGC performance assessment includes four sub-items: monthly operation rate assessment, adjustable range assessment, regulation rate assessment, and regulation accuracy assessment; the unit adjustment capability assessment is based on the highest and lowest technical output of the unit declared by each power generation enterprise, and is assessed monthly based on the dispatching agency's call results, and the assessment amount is calculated according to the corresponding assessment coefficient according to different situations.

[0043] Preferably, the system management module in the platform support layer is used to monitor and manage the operating status of the information system in real time, and the specific functions of the system management module include user management, operation and maintenance monitoring, authority management, and log management.

[0044] The present invention provides a method for monitoring, early warning and decision-making assistance for thermal power plants according to two detailed rules, including the following steps:

[0045] (1) Use the data aggregation layer to aggregate and pre-process the data obtained from the SIS system, DCS system and plant network interaction platform;

[0046] (2) The system operating environment is constructed through the platform support layer. Based on the platform support layer, configuration and optimization are performed according to the operating requirements of the thermal power plant and the two detailed assessment rules;

[0047] (3) Using the indicator calculation module, according to the two detailed assessment rules, design and implement the calculation algorithm of the assessment indicators and the assessment amount, substitute the pre-processed data into the corresponding calculation algorithm, and calculate the specific values ​​of each assessment indicator and the assessment amount;

[0048] (4) Design an alarm algorithm through a multi-level alarm module, formulate alarm indicators and multi-level alarm thresholds, monitor the calculated assessment indicators and assessment amount results, and trigger an audible and visual alarm when the set alarm threshold is reached or exceeded;

[0049] (5) Using the diagnostic analysis module, based on the calculation results of the assessment indicators and the assessment amount, analyze and locate the smallest granularity of the over-limit assessment indicators layer by layer, and analyze the reasons for the assessment in depth based on the over-limit assessment indicators and related data;

[0050] (6) Use the assessment statistics module to count and display assessment indicators and assessment amounts, and generate report forms;

[0051] (7) Collect the operation data of the thermal power plant through the data management module, use the distributed data storage engine to store the collected data, perform maintenance operations on the stored data, and calculate and configure the data according to system and business requirements;

[0052] (8) Use the system management module to monitor the operating status of the information system in real time, manage the operating status of the information system, and handle anomalies and failures that occur during system operation.

[0053] Beneficial effects: Compared with the prior art, the present invention has the following advantages: 1. By calculating indicators and timely warning of problems, it helps power plant managers to fully understand the grid-connected operation assessment situation and problems, and improve the assessment management level; 2. It can warn of potential risks in advance and take measures in time to avoid sudden events affecting the assessment, thereby reducing the assessment score; 3. Lowering the assessment score can directly increase the overall profit of the power plant. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 It is a schematic diagram of the overall architecture of the two-rule assessment monitoring, early warning and auxiliary decision-making system for thermal power plants of the present invention; DETAILED DESCRIPTION

[0055] The technical solution of the present invention is described in detail below in conjunction with the accompanying drawings.

[0056] (1) Using the data aggregation layer, the system is connected to the SIS, DCS, and plant network interaction platform of the thermal power plant, and the operating data is aggregated to a unified data platform for data preprocessing.

[0057] (2) Based on the platform support layer, the operating environment is constructed. According to the specific needs of the thermal power plant, the system's computing engine, distributed data storage engine, container engine, indicator computing engine, as well as microservice framework, reporting tools, message bus, visualization, high-speed data caching, data collection, model management, task scheduling, system management, operation and maintenance monitoring, security management and reporting service capabilities are configured and optimized.

[0058] (3) Based on the indicator calculation module of the business application layer, design the calculation algorithm for the assessment indicators and assessment amounts.

[0059] The present invention takes the two detailed assessment standards of Jiangsu Province as reference, namely "Jiangsu Power Grid-connected Operation Management Implementation Rules", and designs the following assessment indicators and assessment amount calculation algorithm for the two detailed assessments of thermal power units.

[0060] ① Power generation plan assessment

[0061] The power generation plan assessment includes two sub-items: load deviation assessment and power deviation assessment.

[0062] (i) Load deviation assessment

[0063] The load deviation assessment is based on the daily power generation load plan curve issued by the power grid dispatcher. With a sampling point every 5 minutes, the actual power generation load sampling points of 288 units throughout the day are compared with the corresponding daily power generation load plan values. When the deviation exceeds ±3%, it is considered a failure point. The assessment amount is given an assessment coefficient based on the proportion of failure points in the monthly load plan.

[0064] Deviation rate for each load point:

[0065] Among them, δ p Indicates the load point deviation rate (%), p plan represents the planned power (MW), p act Indicates actual power (MW).

[0066] Monthly load deviation rate: δ load =[∑sgn(δ p -δ p，set )]×5 / t run ×100% (Formula 2);

[0067] Among them, δ load represents the monthly load deviation rate (%), sgn(x) represents the step function about x, δ p,set Indicates the load failure point deviation requirement, δ p,set =3%, t run Indicates the total monthly running time (minutes).

[0068] Monthly load deviation assessment amount: A load =k load ×∑sgn(δ p -δ p，set ) (Formula 3);

[0069] Among them, A load Indicates the monthly load deviation assessment amount (yuan), k load Indicates the load deviation assessment coefficient (yuan).

[0070] Load deviation assessment coefficient k load Deviation rate from monthly load δ load The specific calculation is as follows:

[0071]

[0072] ②Electricity deviation assessment

[0073] The power deviation assessment is based on the over-generation and under-generation. The daily power generation performance of the generator set is integrated at a sampling point every 5 minutes. The power generation company accumulates the power generation performance according to the peak, mid-load or valley period, and compares it with the planned power. If the deviation exceeds ±1%, it deviates from the daily planned power generation and is assessed at a unit price of 0.12 yuan / kWh.

[0074] Power deviation rate:

[0075] Among them, δ eq Indicates the power deviation rate (%) during peak / mid-load / valley periods, p plan represents the planned power (MW), p act Indicates actual power (MW).

[0076] Monthly electricity deviation assessment amount:

[0077]

[0078] Among them, A eq Indicates the monthly electricity deviation assessment amount (yuan), k eq Indicates the power deviation assessment coefficient (yuan / kWh), k eq =0.12,δ eq,set Indicates the power deviation requirement, δ eq，set =1%.

[0079] (ii) AGC performance assessment

[0080] AGC performance assessment includes four sub-items: monthly operation rate assessment, adjustable range assessment, adjustment rate assessment, and adjustment accuracy assessment.

[0081] ①Monthly operation rate assessment

[0082] The monthly commissioning rate of the AGC function of the unit is measured online by the dispatching agency EMS. All generators above 100,000 kilowatts should have AGC function and be put into closed-loop operation normally as required. The AGC function commissioning rate must reach 90%. For units that fail to meet the requirements, a fee of 2 yuan will be imposed for every 1% below the requirement and every 10,000 kilowatts per day.

[0083] AGC commissioning rate of units:

[0084] Among them, δ agc_op Indicates the daily AGC operation rate of the unit (%), t agc_act Indicates the actual AGC operation time of the unit (seconds), t agc_plan It indicates the time (in seconds) that the unit AGC should be put into operation. The time that the unit should be put into operation is the time when the unit output reaches 55% of the rated capacity and does not include the time when the adjustment command is executed.

[0085] Amount of assessment for the monthly AGC commissioning rate of the unit:

[0086] A agc_op =k agc_op ×∑sgn(δ agc_op,set -δ agc_op )×(δ agc_op,set -δ agc_op )×100×P N (Formula 8);

[0087] Among them, A agc_op Indicates the monthly AGC commissioning rate assessment amount of the unit (yuan), k agc_op represents the AGC monthly operation rate assessment coefficient (yuan / kWh / day), k agc_op =2,δ agc_op,set Indicates the unit AGC monthly operation rate assessment requirements, δ agc_op，set =90%, P N Indicates the rated power of the unit (MW).

[0088] ②AGC adjustment rate assessment

[0089] The regulation rate of the AGC unit is randomly determined by the dispatching agency. The regulation rate of the coal-fired unit must reach 1.5% of the rated capacity / minute. Units that fail to meet the requirements will be assessed at 5 yuan per day for every 0.1% of the rated capacity / minute. Each AGC regulation rate test includes two unidirectional test processes of increase and decrease. The arithmetic average of the unit's AGC regulation rate during the two unidirectional test processes is taken as the AGC regulation rate of the unit.

[0090] Unit AGC adjustment rate test value:

[0091] Among them, S rate represents the measured regulation rate (% / minute), L represents the actual regulation amount of the unit AGC test (MW), Y represents the test time of the unit AGC test (minutes), up represents the unit AGC test load increase stage, down represents the unit AGC test load reduction stage, P N Indicates the rated power of the unit (MW).

[0092] Monthly assessment amount of AGC adjustment rate:

[0093] A agc_rate =∑k agc_rate ×sgn(1.5%-S rate )×(1.5%-S rate ) / (0.1%×P N ) (Formula 10);

[0094] Among them, A agc_rateIndicates the monthly AGC adjustment rate assessment amount (yuan), k agc_rate represents the AGC regulation rate assessment coefficient (yuan / MW / day), k agc_rate =0.5.

[0095] ③ AGC adjustment range assessment

[0096] The adjustable range of AGC units is based on the upper and lower limits of the adjustment determined by the joint adjustment test, and the monthly test results of the dispatching agency combined with the monthly basic adjustment capability are used as the assessment basis. The adjustable range of AGC units must reach 45% of the rated capacity. Units that fail to meet the requirements will be assessed 400 yuan per day for every 10,000 kilowatts exceeded.

[0097] AGC adjustable range upper limit test:

[0098] If the AGC command value is ≥ the upper limit of the basic adjustment, it is recorded as the start time of the AGC adjustable range upper limit test command;

[0099] AGC adjustable range test instruction end time = AGC adjustable range test instruction start time + 2 × test range / assessment rate;

[0100] Maximum daily power P max It is the average value of the last four actual power sampling values ​​from the start to the end of the AGC adjustable range upper limit test instruction.

[0101] AGC adjustable range lower limit test:

[0102] If 55% of the rated capacity is ≥ the lower limit of the basic adjustment declaration, then when the AGC instruction is ≤55% of the rated capacity, it is recorded as the start time of the AGC adjustable range lower limit test instruction; if 55% of the rated capacity is ≤ the lower limit of the basic adjustment declaration, then when the AGC instruction is ≤ the lower limit of the basic adjustment declaration, it is recorded as the start time of the AGC adjustable range lower limit test instruction;

[0103] AGC adjustable range test instruction end time = AGC adjustable range test instruction start time + 2 × test range / assessment rate;

[0104] Daily minimum power P min It is the average value of the last four actual power sampling values ​​from the start to the end of the AGC adjustable range lower limit test instruction.

[0105] AGC adjustable range monthly assessment amount:

[0106] A agc_scop =∑k scop ×sgn(p max -p min -P set )×(p max -p min -Pset ) (Formula 11);

[0107] Among them, A agc_scop Indicates the monthly AGC adjustable range assessment amount (yuan), k scop k represents the AGC adjustable range assessment coefficient (yuan / MW / day), scop =40, P max Indicates the maximum daily power of the unit (MW), P min Indicates the minimum daily power of the unit (MW), P set Indicates the adjustable range setting value of the unit (MW), P set =45%P N .

[0108] ④AGC adjustment accuracy assessment

[0109] The regulation accuracy assessment of AGC units is calculated in hours. The average regulation accuracy per hour must reach 0.5% of the rated capacity. For units that fail to meet the requirements, an assessment of 0.25 kilowatts will be made for every 0.1% of the rated capacity exceeded per hour.

[0110]

[0111] Among them, S i Indicates the AGC adjustment accuracy of the unit (%), C i Indicates the AGC command value (MW), R i Indicates the actual power of the unit (MW), ΔR i It represents the power (MW) that the unit should adjust, p represents the rate adjustment factor, and the AGC adjustment accuracy calculation is linked to the AGC adjustment rate, which is divided into four levels: reward interval, standard interval, tolerable interval, and penalty interval.

[0112] The power that the unit should adjust △R i It is determined by the AGC adjustment rate required for the corresponding unit, that is:

[0113]

[0114] Where k is the AGC regulation rate (% / minute) required for the corresponding unit in the "Jiangsu Power Grid Coordinated Dispatching Power Generation Enterprise Assessment Method", that is, 1.5% / minute; △t i Indicates the time interval (in seconds) between two consecutive instructions.

[0115] Average hourly regulation accuracy:

[0116] in, Indicates the average AGC adjustment accuracy of the unit per hour (%), n agcIndicates the number of AGC adjustments within one hour (times).

[0117]

[0118] Among them, A agc_acc Indicates the monthly AGC adjustment accuracy assessment amount (yuan), k agc_acc represents the AGC regulation accuracy assessment coefficient (yuan / MW / day), k agc_acc =0.025, S acc,set Indicates the AGC adjustment accuracy requirement (%), S acc,set =0.5%.

[0119] (iii) Assessment of unit adjustment capability

[0120] Based on the highest and lowest technical outputs declared by each power generation enterprise and the dispatching results, monthly assessments are conducted based on the dispatching agency's dispatching results. The basic regulating capacity of units above 100,000 kilowatts must reach 100% to 50% of the rated capacity. Operating units that fail to meet the requirements will be assessed at 1,500 yuan per day for every 10,000 kilowatts in excess, and a basic regulating capacity deficiency assessment will be carried out; for units whose regulating capacity is affected by fault elimination and which have not been approved by the dispatching agency, a temporary regulating capacity deficiency assessment will be carried out at 3,000 yuan per day for every 10,000 kilowatts in excess; if the unit's declared regulating capacity deviates seriously from the actual situation, a temporary regulating capacity deficiency assessment will be carried out at 5,000 yuan per day for every 10,000 kilowatts in excess; if the unit's regulating capacity is affected by fault elimination that has not been approved more than once in the month or the cumulative time exceeds 48 hours, both basic regulating capacity and temporary regulating capacity deficiency assessments will be carried out.

[0121] A adj =∑(k b ×n b +k t1 ×n t )×(S b,up +S b,down )+∑k t2 ×(S t，up +S t,down ) (Formula 16);

[0122] Among them, A adj Indicates the monthly assessment amount (yuan) for insufficient adjustment capacity of the unit, k b Indicates the assessment coefficient of insufficient basic adjustment capacity of the unit (yuan / MW / day), k b =150, k t1 Indicates the assessment coefficient of insufficient temporary adjustment capacity of the unit (yuan / MW / day), k t1 =300, k t2 Indicates the assessment coefficient of the serious shortage of temporary adjustment capacity of the unit (yuan / MW / day), k t2 =500;

[0123] When η b =1, indicating that the unit is in the basic adjustment management state. b =0, indicating that the unit is in a non-basic adjustment management state; n t Indicates temporary adjustment status flag. t =1, indicating that the unit is in temporary adjustment management state. t =0, indicating that the unit is in a non-temporary adjustment management state;

[0124] S b,up Indicates that the upper limit of the unit adjustment difference for non-serious deviation is insufficient (MW), S b,down Indicates that the lower limit of the unit adjustment for non-serious deviation is insufficient (MW), S t,up Indicates that the upper limit of the unit adjustment error is insufficient (MW), S t,down Indicating serious deviation of the unit adjustment lower limit is insufficient (MW).

[0125] S b，up =sgn(3%Cp up,declar +p up,meas )×(Cp up,declar ) (Formula 17);

[0126] S b,down =sgn(3%Cp down,meas +p down，declar )×(p down,declar -50%C) (Formula 18);

[0127] S t,up =sgn(p up,declar -p up,meas -3%C)×(Cp up,meas ) (Formula 19);

[0128] S t,down =sgn(p down，meas -p down，declar -3%C)×(p down，meas -50%C) (Formula 20);

[0129] Where, C represents the rated power of the unit (MW), p up,declar Indicates the maximum technical output declared value (MW), p up,meas Indicates the measured value of the upper limit of output (MW), p down，declar represents the minimum technical output declared value (MW), p down,meas Indicates the measured value of the lower limit of output (MW);

[0130] The addition of assessment indicators, assessment amounts, and alarm status calculation algorithms is realized through the indicator configuration unit. The configurable items include: assessment items, assessment sub-items, indicator names, calculation algorithms, related indicators, related data, etc. The parameters in the calculation algorithm can be manually configured in the parameter configuration in the data management function module. The system built-in algorithms include the calculation algorithms for assessment indicators, assessment amounts, alarm status, etc. of the unit's power generation curve, AGC adjustment capability, differential adjustment capability, and other assessment items. The specific calculation algorithms are formulas 1 to 22.

[0131] The indicator management unit is used to query, modify, and delete indicators, where modification can change the calculation algorithm of the indicator;

[0132] Through the indicator publishing unit, specifically including the publishing and canceling of indicators, the publishing of indicators realizes the association between the newly added indicators and the system model, and the canceling of indicators realizes the disassociation between the indicators and the system model;

[0133] The recalculation unit is used to manually trigger the calculation of indicators. The system defaults to scheduled calculation. When the user updates the configuration item, recalculation can be manually triggered.

[0134] (4) Design an alarm algorithm through a multi-level alarm module, formulate alarm indicators and multi-level alarm thresholds, monitor the calculated assessment indicators and assessment amount results, and trigger an audible and visual alarm when the set alarm threshold is reached or exceeded;

[0135] The operator configures the power generation curve assessment warning threshold based on the operation experience, and compares the deviation between the actual load during the observation period and the next planned load point. When the load deviation rate during the observation period is always higher than the warning threshold, the system issues a warning to indicate that the unit has a load deviation.

[0136] (i) Power generation curve assessment and early warning

[0137]

[0138] Among them, w load Indicates the early warning status of power generation curve assessment, the value is 0 or 1, and 1 indicates early warning; δ set represents the warning threshold, t set represents the observation time, p plan represents the planned power, p act Indicates actual power;

[0139] (ii) AGC regulation performance assessment and warning

[0140] Track AGC instructions for real-time calculation, each AGC instruction is a calculation cycle. The operator configures the AGC regulation rate warning threshold based on operating experience, and compares the deviation between the actual AGC regulation rate and the AGC regulation rate warning threshold in each AGC instruction calculation cycle. When the actual AGC regulation rate is higher than the AGC regulation rate warning threshold in the calculation cycle, the system issues a warning to prompt the unit that the AGC regulation performance deviation has occurred.

[0141]

[0142] Among them, w agc Indicates the AGC regulation performance assessment warning status, the value is 0 or 1, and 1 is a warning; L indicates the actual AGC regulation amount of the unit, Y indicates the AGC test time of the unit, S set Indicates the configured AGC adjustment rate warning threshold;

[0143] The intelligent alarm unit monitors the operating parameters in real time, calculates AVC performance, primary frequency regulation performance, power generation plan curve tracking, and AGC instruction execution in real time, and when the alarm indicators are detected to be beyond the preset normal range, the system quickly issues an alarm to notify relevant personnel to take action; the system processes alarms in different levels according to different collection cycles and assessment types. When an alarm message appears, it pushes a high-level alarm first, and processes low-level alarms that appear during the alarm processing period as unprocessed, to avoid a large number of alarms that disrupt the normal work of operators;

[0144] The alarm setting unit provides alarm-related configurations. The system can flexibly configure alarm parameters and classify alarms into multiple levels according to the severity of the alarm. Operators can configure alarm classification, alarm classification, classification threshold, alarm mode, etc., so that managers can take corresponding response measures according to different warning levels.

[0145] The alarm query unit supports querying historical alarms by alarm category, alarm level, time period, etc.

[0146] The alarm statistics unit collects statistics and analyzes alarm information, including the number of alarms, alarm types, alarm times, etc., so that users can understand the distribution and trends of alarm information and take corresponding measures in a timely manner.

[0147] (5) Using the diagnostic analysis module, based on the calculation results of the assessment indicators and the assessment amount, analyze and locate the smallest granularity of the over-limit assessment indicators layer by layer, and analyze the reasons for the assessment in depth based on the over-limit assessment indicators and related data.

[0148] Starting from the smallest granularity of the assessment, monthly statistics and summary are displayed for various indicators of power generation plan assessment, AGC performance assessment, and adjustment capability assessment, to assist power plant operators and managers in comprehensively analyzing the reasons for the assessment, guide the adjustment of the operation mode or handle the unexpected events that lead to the assessment, and avoid further expansion of the assessment and causing greater losses;

[0149] The reason for the assessment amount can be traced back through the traceability analysis unit. Starting from the smallest assessment granularity, the assessment reasons can be intuitively displayed by drilling down the monthly assessment amount, daily assessment amount, minute-level assessment amount, minute-level assessment indicator, and second-level assessment indicator.

[0150] The benchmarking analysis unit enables benchmarking of assessments at different times, in different shifts, and in different units. It supports vertical benchmarking of the same shift, the same unit, and different times, horizontal benchmarking of the same unit and different shifts, and benchmarking of different units.

[0151] The trend analysis unit simulates and calculates daily results, monthly results, and summary results, analyzes the proportion and month-on-month comparison of each assessment for each module, analyzes the key assessment modules and assessment time periods of the power plant, and uses various chart control technologies to display the summary results and assessment trends of each module, analyze the change trend of assessment indicators and real-time dynamic rankings, highlight key information such as teams or months with larger problems, assist operation and management personnel in grasping the overall operation problems, and provide data handles;

[0152] The exemption simulation unit supports operation and management personnel to calculate exemptions for key assessment items at any time period. The system calculates the results after exemption in real time, provides comparison and analysis functions of the results before and after exemption, and accurately finds the time periods and assessment items that have a greater impact on the assessment results.

[0153] (6) Use the assessment statistics module to count and display assessment indicators and assessment amounts according to different time periods such as day, week, month and year. The generated report includes the specific value of each assessment indicator, the status of reaching the target, the details of the deduction amount, and the comparative analysis with the historical data of the same period;

[0154] Through the assessment index statistics and assessment amount statistics units, the simulated calculation results of the two detailed assessment indicators and assessment amount assessments and the actual release results of the dispatching agency are presented in the form of charts and other forms;

[0155] The intelligent report unit can be used to automatically generate daily and monthly result reports of two detailed assessments of simulation calculations, as well as daily and monthly reports of power plant operation analysis, and export them for users to report;

[0156] (7) Collect the operation data of the thermal power plant through the data management module, use the distributed data storage engine to store the collected data, perform maintenance operations on the stored data, and calculate and configure the data according to system and business requirements;

[0157] The data acquisition unit can be used to collect telemetry, telesignaling and command data of the power plant SIS, DCS and other systems, and monitor the collection status. At the same time, the quality of the collected data can be monitored, and the dead number, jump number and other situations can be monitored and alarmed;

[0158] The model management unit provides visual data modeling and management functions. All data required by the system are established here, such as assessment items, assessment sub-items, indicator names, calculation parameters, etc. The relationship between the configuration data is used by the indicator calculation module;

[0159] The parameter value configuration of the algorithm in the indicator calculation is realized through the parameter configuration unit.

[0160] (8) Use the system management module to monitor the operating status of the information system in real time, manage the operating status of the information system, and handle anomalies and failures that occur during system operation;

[0161] User management implements the basic maintenance functions of adding, deleting, modifying and checking users. Users can be associated with an organization to facilitate permission management.

[0162] Operation and maintenance monitoring monitors the usage of system resources and the operating status of key business systems, records various events during system operation, and optimizes system configuration based on monitoring data;

[0163] Permission management implements permission management capabilities based on the RBAC model, realizes unified authorization and authentication functions in a microservice environment, and supports single sign-on;

[0164] Log management implements recording and statistical functions such as system operation logs and login logs.

Claims

1. A thermal power plant two-rule assessment monitoring early warning and auxiliary decision-making system, characterized in that: include: Data aggregation layer, used to aggregate and pre-process data from SIS system, DCS system and plant network interaction platform; The platform support layer is used to provide microservice framework, system management and basic business service functions; The business application layer is used to provide a human-computer interaction interface, analyze the reasons for the assessment, display the assessment situation, and provide auxiliary decision-making. The business application layer specifically includes: An indicator calculation module is used to design an assessment indicator and an assessment amount calculation algorithm, and calculate the assessment indicator and the assessment amount. The assessment indicators include power generation plan assessment indicators, AGC performance assessment indicators, and adjustment capability assessment indicators; The multi-level alarm module is used to design alarm algorithms, formulate alarm indicators and multi-level alarm thresholds, classify alarms, and issue alarms; The diagnostic analysis module is used to trace back the reasons for the post-assessment, locate the smallest granularity of the over-limit assessment indicators, and analyze the reasons for the assessment; The assessment statistics module is used to count and display assessment indicators and assessment amounts, and generate reporting reports; The data management module is used to collect, store, maintain, calculate and configure the operation data of thermal power plants.

2. The thermal power plant two-rule assessment monitoring early warning and auxiliary decision-making system according to claim 1 is characterized in that: The indicator calculation module includes: The indicator configuration unit is used to implement the addition of assessment indicators, assessment amounts, and alarm status calculation algorithms; The indicator management unit is used to query, modify and delete indicators; Indicator publishing unit, used to publish and cancel indicators; The recalculation unit is used to implement manually triggered calculation of indicators. Recalculation can be manually triggered when the configuration item is updated.

3. The thermal power plant two-rule assessment monitoring early warning and auxiliary decision-making system according to claim 1 is characterized in that: The multi-level alarm module comprises: Intelligent alarm unit, used to monitor operating parameters in real time, and calculate AVC performance, primary frequency regulation performance, power generation plan curve tracking, AGC instruction execution. When the alarm index exceeds the preset range, an alarm is issued and graded processing is carried out; The alarm setting unit is used to set corresponding alarm rules, provide alarm-related configurations, and classify alarms into multiple levels; Alarm query unit, used to query historical alarms; The alarm statistics unit is used to collect statistics and analyze alarm information.

4. The thermal power plant two-rule assessment monitoring early warning and auxiliary decision-making system according to claim 1 is characterized in that: The diagnostic analysis module comprises: The traceability analysis unit is used to trace back the causes of the assessment amount; The benchmarking analysis unit is used to achieve benchmarking of assessments at different times, in different shifts, and in different units. It supports vertical benchmarking of the same shift, the same unit, and different times, horizontal benchmarking of the same unit and different shifts, and benchmarking of different units. Trend analysis unit, used to display summary results and assessment trends of each module, analyze assessment indicator change trends and real-time dynamic rankings; The exemption simulation unit is used to perform exemption calculations and compare and analyze the results before and after the exemption.

5. The thermal power plant two-rule assessment monitoring early warning and auxiliary decision-making system according to claim 1 is characterized in that: The assessment statistics module includes: The assessment index statistical unit is used to present the simulation calculation results of the two detailed assessment indexes and the actual release results of the dispatching agency; The assessment amount statistics unit is used to present the simulation calculation results of the assessment amounts of the two rules and the actual release results of the dispatching agency; Intelligent reporting unit, used to automatically generate result reports and run analysis documents.

6. The thermal power plant two-rule assessment monitoring early warning and auxiliary decision-making system according to claim 1 is characterized in that: The data management module comprises: Data acquisition unit, used to collect data from the power plant SIS, DCS system and plant network interaction platform and monitor the collection status and data quality; Model management unit, used to provide visual data modeling and management functions, and configure data association relationships; The parameter configuration unit is used to implement the parameter value configuration of the algorithm in the indicator calculation.

7. The thermal power plant two-rule assessment monitoring early warning and auxiliary decision-making system according to claim 1 is characterized in that: The alarm algorithm is as follows: Among them, w load Indicates the early warning status of power generation curve assessment, the value is 0 or 1, and 1 indicates early warning; δ set represents the warning threshold, t set represents the observation time, p plan represents the planned power, p act Indicates actual power; Among them, w agc Indicates the AGC regulation performance assessment warning status, the value is 0 or 1, and 1 is a warning; L indicates the actual AGC regulation amount of the unit, Y indicates the AGC test time of the unit, S set Indicates the configured AGC adjustment rate warning threshold.

8. The thermal power plant two-rule assessment monitoring early warning and auxiliary decision-making system according to claim 1 is characterized in that: The power generation plan assessment in the indicator calculation module includes two sub-items: load deviation assessment and electricity deviation assessment. The load deviation assessment calculates the load deviation rate, monthly load deviation rate and assessment amount based on the daily power generation load plan curve issued by the power grid dispatcher. The electricity deviation assessment calculates the electricity deviation rate and assessment amount based on the overgeneration and undergeneration. The AGC performance assessment includes four sub-items: monthly operation rate assessment, adjustable range assessment, regulation rate assessment, and regulation accuracy assessment. The unit adjustment capability assessment is based on the highest and lowest technical outputs of the units declared by each power generation enterprise, and is assessed monthly based on the dispatching agency's call results. The assessment amount is calculated according to the corresponding assessment coefficients based on different situations.

9. The thermal power plant two-rule assessment monitoring early warning and auxiliary decision-making system according to claim 1 is characterized in that: The system management module in the platform support layer is used to monitor and manage the operating status of the information system in real time. The specific functions of the system management module include user management, operation and maintenance monitoring, authority management, and log management.

10. A method for monitoring, early warning and decision-making assistance for two detailed assessments of a thermal power plant, characterized in that: The following steps are involved: (1) Use the data aggregation layer to aggregate and pre-process the data obtained from the SIS system, DCS system and plant network interaction platform; (2) The system operating environment is constructed through the platform support layer. Based on the platform support layer, configuration and optimization are performed according to the operation requirements of the thermal power plant and the two detailed assessment rules; (3) Using the indicator calculation module, according to the two detailed assessment rules, design and implement the calculation algorithm of the assessment indicators and the assessment amount, substitute the pre-processed data into the corresponding calculation algorithm, and calculate the specific values ​​of each assessment indicator and the assessment amount; (4) Design an alarm algorithm through a multi-level alarm module, formulate alarm indicators and multi-level alarm thresholds, monitor the calculated assessment indicators and assessment amount results, and trigger an audible and visual alarm when the set alarm threshold is reached or exceeded; (5) Using the diagnostic analysis module, based on the calculation results of the assessment indicators and the assessment amount, analyze and locate the smallest granularity of the over-limit assessment indicators layer by layer, and analyze the reasons for the assessment in depth based on the over-limit assessment indicators and related data; (6) Use the assessment statistics module to count and display the assessment indicators and assessment amounts, and generate report forms; (7) Collect the operation data of the thermal power plant through the data management module, use the distributed data storage engine to store the collected data, perform maintenance operations on the stored data, and calculate and configure the data according to system and business requirements; (8) Use the system management module to monitor the operating status of the information system in real time, manage the operating status of the information system, and handle anomalies and failures that occur during system operation.

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