CN113671830A - Thermal power generating unit cold end optimization closed-loop control method based on intelligent scoring - Google Patents
Thermal power generating unit cold end optimization closed-loop control method based on intelligent scoring Download PDFInfo
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Abstract
The invention relates to a thermal power generating unit cold end optimization closed-loop control method based on intelligent scoring, which comprises the following steps of: predicting the unit load in the set time length in the future, and synchronizing meteorological station data in the set time length in the future as meteorological prediction data; constructing a cold end optimization mechanism calculation model with the aim of maximizing the net power increment of the unit by combining the acquired data of the current pump combination mode; and judging whether to push the start and stop operation of the circulating water pump or not by combining the circulating water flow under the optimal vacuum of the unit. The invention has the beneficial effects that: according to the invention, the intelligent scoring module based on actual operation conditions realizes the closed loop of cold end optimization, and the start and stop operation of the cold end optimization is automatically executed; an optimized control instruction is formed and reversely penetrates to the DCS control system, so that the cold-end equipment is automatically controlled to start and stop, the operation amount of operators is reduced, and the unit is ensured to stably operate near the optimal economic condition all the year round.
Description
Technical Field
The invention belongs to the field of cold end optimization, and particularly relates to a thermal power generating unit cold end optimization closed-loop control method based on intelligent scoring.
Background
The cold end loss is a main influence factor for restricting the heat efficiency of the power plant, and a cold end system of the power plant mainly comprises a steam turbine low-pressure cylinder, a condenser and a circulating water system. With the increase of the capacity of the unit, the cold end system of the power plant is more and more important and complex, and plays a decisive role in the safe and economic operation of the whole unit. Meanwhile, along with the increase of the unit capacity, the power consumption of the circulating water pump is increased, and the power consumption of the circulating water pump can reach about 15% of the whole service power. From the consideration of energy conservation and emission reduction, optimization of a cold-end system is very necessary.
At present, cold end optimization mostly adopts a mode of providing online guidance or offline calculation, and during actual operation, optimization suggestions are often not capable of achieving the expected energy-saving effect due to the fact that starting and stopping of a circulating pump are too frequent, the circulating pump does not accord with the long-term change trend of load, the overhaul of a circulating water pump, the attention of operators and the like. Therefore, cold end optimization closed-loop control is achieved by combining actual operation, and the method has important significance for reducing monitoring intensity of operators and improving operation economy and intelligence of a cold end optimization system.
Disclosure of Invention
The invention aims to overcome the defects in the prior art and provides a thermal power generating unit cold end optimization closed-loop control method based on intelligent scoring.
The thermal power generating unit cold end optimization closed-loop control method based on intelligent scoring comprises the following steps:
step 1, predicting the unit load in a set time length in the future, and synchronizing meteorological station data in the set time length in the future as meteorological prediction data;
step 2, according to the unit load and meteorological prediction data predicted in the step 1, combining the obtained current circulating pump combination mode data, constructing a cold end optimization mechanism calculation model aiming at maximizing the net power increment of the unit, and respectively calculating the current performance index and the optimized performance index of cold end equipment through the cold end optimization mechanism calculation model;
and 3, judging whether to push the start and stop operation of the circulating water pump according to the weather prediction data result obtained in the step 1 and by combining the circulating water flow under the optimal vacuum of the unit: if the deviation of the circulating water flow of each current unit and the circulating water flow under the optimal vacuum of the unit calculated by meteorological prediction data is larger than a deviation set value and the circulating water pump does not have start-stop operation within set time, pushing the start-stop operation of the circulating water pump, and continuing to execute the step 4; otherwise, pushing the start and stop operation of the circulating water pump is not carried out, and the process is ended;
step 4, acquiring data from the DCS, the two-ticket system, the ERP system and the intelligent monitoring system, analyzing the equipment state of the cold-end system, and eliminating circulating water pump combinations which do not accord with starting conditions;
step 5, constructing a circulating pump combination intelligent scoring model, scoring the circulating water pump combination screened in the step 4 by adopting the circulating pump combination intelligent scoring model, and giving a cold end optimal circulating pump combination mode;
and 5.1, scoring the circulating water pump combination screened in the step 4 to obtain a score S:
S＝100-(Sst+Ssp+Ssr+Sfcy+Sfe+Scv+Shl+Scs)
in the above formula, SstIndicates the starting operation deduction score, SspIndicating the shut down operation score, SsrRepresents the safe reliability deduction score, SfcyIndicating the percentage of plant power consumption, SfeRepresenting the flow deviation in deduction, ScvIndicating the number of contact valve switches, ShlIndicating the number of high and low speed switching buttons, ScsRepresents the long cycle suitability score;
wherein the safe reliability is given by the score SsrBased on circulating water early warning diagnosis system, safe reliability deducts score SsrIs calculated byThe formula is as follows:
in the above formula,. mu.1Indicating the number of non-erase alarm events, mu, for any particular combination of cycles2Representing the number of alarm events of any one combination of the circulating pumps for only 30 days, and gamma represents a safety and reliability correction coefficient;
wherein, the percentage of the plant power rate is deducted by the score SfcyFor the pump combination power consumption accounts for than in the station service, the formula is:
in the above formula, the first and second carbon atoms are,
represents the ratio of the power consumption of any pump combination in the prediction of the load service power,
representing the proportion of the current pump-following combined power consumption in the current load service power, and delta representing the correction coefficient of the service power proportion;
flow deviation deduction point SfeFor the deviation of the combined flow rate of the tracking pump from the optimum vacuum recommended flow rate, the formula is:
in the above formula, Q represents the circulating water flow of any circulating pump combination, and Q' represents the optimal vacuum recommended flow of the predicted load;
indicates the flow deviation correction coefficient, when Q>At the time of Q', the reaction mixture is,
when Q is less than or equal to Q，
(
The adjustment can be carried out according to the actual running condition);
long period applicability score ScsJudging whether the combined mode of the circulating pumps can run near the optimal vacuum for a long time according to the prediction data, wherein the formula is as follows:
in the above formula, H represents the duration of any of the pump combination flows maintained near the predicted optimum vacuum, and β represents the long-period applicability correction factor;
giving out starting operation deduction score S according to operation experiencestFraction S of operation stopspContact valve switch fraction ScvHigh and low speed switching deduction number ShlA value of (d);
step 5.2, sorting all the circulating pump combinations according to scores from high to low;
step 5.3, scoring the combination condition of all the circulating pumps in the historical data of the circulating water system, judging whether the obtained score meets the expected requirement, if not, then carrying out safety and reliability correction factor gamma, service power ratio correction factor delta and flow deviation correction factor in the step 5.1
The long-period applicability correction coefficient beta and a constant are corrected, wherein the constant comprises a starting operation deduction number sstFraction S of operation stopspContact valve switch fraction ScvAnd high and low speed switching deduction number Shl；
Step 6, pushing an optimal circulating pump combination mode and comparing a start-stop instruction and an execution time of the optimal circulating pump combination mode with the coal consumption of power supply before and after starting; and controlling the start and stop of the circulating water pump by a cold end optimization automatic control system.
Preferably, the data of the image station in step 1 comprises: air temperature, air pressure, humidity, wind speed and rainfall.
Preferably, the current pump-circulating combination mode data in the step 2 comprise cooling tower performance data, plant circulating water characteristic data, condenser performance data, unit micro-power-increasing characteristic data and unit heat consumption rate data; the period of calculating the current performance index and the optimized performance index of the cold end equipment is 10 minutes.
Preferably, the deviation set value in the step 3 is 10% of the deviation of the circulating water flow; the set time for judging that the circulating water pump is not started or stopped is 4 hours.
Preferably, the step 4 specifically comprises the following steps:
step 4.1, numbering all circulating water pump combination modes { x }1,x2……xn}；
Step 4.2, acquiring data from the DCS, the two-ticket system, the ERP system and the intelligent monitoring system, analyzing the equipment state of the cold-end system, and eliminating the serial number { x ] of the circulating water pump combination mode which does not accord with the starting conditiono,xp……xm}。
Preferably, when analyzing the equipment state of the cold-end system in the step 4.2, the identification of the starting condition comprises the identification of the high-low speed state of the circulating water pump, the identification of the state of a communication valve, the identification of the equipment listing state, the identification of the equipment standby state and the identification of the equipment health degree.
Preferably, step 6 specifically comprises the following steps:
6.1, after the execution time is reached, the cold end optimization automatic control system preferentially triggers a sequential control pump starting instruction of the circulating water pump and reminds operators of monitoring and on-site monitoring;
6.2, after all the starting instructions are finished, executing a sequential control instruction of the pump to be stopped;
6.3, when the pump starting or stopping instruction is completed every time, triggering the next pump starting or stopping instruction after judging that the pump is started or stopped successfully according to the equipment state identification function in the cold end state analysis module;
6.4, if the operator does not confirm the optimal pump pushing combination mode before the suggested starting time, automatically ignoring the optimization operation by the system and not performing the automatic start-stop operation of the circulating water pump;
6.5, in the process of automatically starting and stopping the circulating pump in sequence control, if abnormity occurs, the automatic control system automatically quits, the control right is given to DCS and operators for control, and the subsequent operation is stopped; the operator can stop the automatic control operation at any time in the whole automatic control process.
Preferably, the execution time corresponding to the optimal pump combination is advanced by more than 30 minutes in step 6.
The invention has the beneficial effects that: according to the method, a mechanism calculation model is combined with load prediction, an intelligent monitoring disc, meteorological prediction data and cold end system fault early warning diagnosis, and the intelligent monitoring disc system, the cold end system performance diagnosis system, the state early warning and fault diagnosis system are associated to output the combination mode of the optimal circulating water pump and the time for suggesting commissioning; the intelligent scoring module based on the actual operation condition realizes the closed loop of cold end optimization, and automatically executes the start and stop operation of the cold end optimization; an optimized control instruction is formed and reversely penetrates to the DCS control system, so that the cold-end equipment is automatically controlled to start and stop, the operation amount of operators is reduced, and the unit is ensured to stably operate near the optimal economic condition all the year round.
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FIG. 1 is a flow chart of a thermal power generating unit cold end optimization closed-loop control method based on intelligent scoring.
Detailed Description
The present invention will be further described with reference to the following examples. The following examples are set forth merely to aid in the understanding of the invention. It should be noted that, for a person skilled in the art, several modifications can be made to the invention without departing from the principle of the invention, and these modifications and modifications also fall within the protection scope of the claims of the present invention.
Example one
In view of the limitations and the intelligent development trend in the prior art, an embodiment of the present application provides a thermal power generating unit cold end optimization closed-loop control method based on intelligent scoring as shown in fig. 1:
step 1, predicting the unit load in a set time length in the future, and synchronizing meteorological station data in the set time length in the future as meteorological prediction data;
step 2, according to the unit load and meteorological prediction data predicted in the step 1, combining the obtained current circulating pump combination mode data, constructing a cold end optimization mechanism calculation model aiming at maximizing the net power increment of the unit, and respectively calculating the current performance index and the optimized performance index of cold end equipment through the cold end optimization mechanism calculation model;
and 3, judging whether to push the start and stop operation of the circulating water pump according to the weather prediction data result obtained in the step 1 and by combining the circulating water flow under the optimal vacuum of the unit: if the deviation of the circulating water flow of each current unit and the circulating water flow under the optimal vacuum of the unit calculated by meteorological prediction data is larger than a deviation set value and the circulating water pump does not have start-stop operation within set time, pushing the start-stop operation of the circulating water pump, and continuing to execute the step 4; otherwise, pushing the start and stop operation of the circulating water pump is not carried out, and the process is ended;
step 4, acquiring data from the DCS, the two-ticket system, the ERP system and the intelligent monitoring system, analyzing the equipment state of the cold-end system, and eliminating circulating water pump combinations which do not accord with starting conditions;
step 4.1, numbering all circulating water pump combination modes { x }1,x2……xn}；
Step 4.2, acquiring data from the DCS, the two-ticket system, the ERP system and the intelligent monitoring system, analyzing the equipment state of the cold-end system, and eliminating the serial number { x ] of the circulating water pump combination mode which does not accord with the starting conditiono，xp……xm}；
Step 5, constructing a circulating pump combination intelligent scoring model, scoring the circulating water pump combination screened in the step 4 by adopting the circulating pump combination intelligent scoring model, and giving a cold end optimal circulating pump combination mode;
and 5.1, scoring the circulating water pump combination screened in the step 4 to obtain a score S:
S＝100-(Sst+Ssp+Ssr+Sfcy+Sfe+Scv+Shl+Scs)
in the above formula, SstIndicates the starting operation deduction score, SspIndicating the shut down operation score, SsrRepresents the safe reliability deduction score, SfcyIndicating the percentage of plant power consumption, SfeRepresenting the flow deviation in deduction, ScvIndicating the number of contact valve switches, ShlIndicating the number of high and low speed switching buttons, ScsRepresents the long cycle suitability score;
wherein the safe reliability is given by the score SsrBased on circulating water early warning diagnosis system, safe reliability deducts score SsrThe calculation formula of (2) is as follows:
in the above formula,. mu.1Indicating the number of non-erase alarm events, mu, for any particular combination of cycles2Representing the number of alarm events of any one combination of the circulating pumps for only 30 days, and gamma represents a safety and reliability correction coefficient;
wherein, the percentage of the plant power rate is deducted by the score SfcyFor the pump combination power consumption accounts for than in the station service, the formula is:
in the above formula, the first and second carbon atoms are,
represents the ratio of the power consumption of any pump combination in the prediction of the load service power,
representing the proportion of the current pump-following combined power consumption in the current load service power, and delta representing the correction coefficient of the service power proportion;
flow deviation deduction point SfeFor the deviation of the combined flow rate of the tracking pump from the optimum vacuum recommended flow rate, the formula is:
in the above formula, Q represents the circulating water flow of any circulating pump combination, and Q' represents the optimal vacuum recommended flow of the predicted load;
indicates the flow deviation correction coefficient, when Q>At the time of Q', the reaction mixture is,
when Q is less than or equal to Q',
(
the adjustment can be carried out according to the actual running condition);
long period applicability score ScsJudging whether the combined mode of the circulating pumps can run near the optimal vacuum for a long time according to the prediction data, wherein the formula is as follows:
in the above formula, H represents the duration of any of the pump combination flows maintained near the predicted optimum vacuum, and β represents the long-period applicability correction factor;
giving out starting operation deduction score S according to operation experiencestFraction S of operation stopspContact valve switch fraction ScvHigh and low speed switching deduction number ShlA value of (d);
step 5.2, sorting all the circulating pump combinations according to scores from high to low;
step 5.3, circulating historical data of the circulating water systemThe pump combination condition is scored, whether the obtained score meets the expected requirement or not is judged, and if not, the safety reliability correction coefficient gamma, the service power occupation ratio correction coefficient delta and the flow deviation correction coefficient in the step 5.1 are subjected to
The long-period applicability correction coefficient beta and a constant are corrected, wherein the constant comprises a starting operation deduction number SstFraction S of operation stopspContact valve switch fraction ScvAnd high and low speed switching deduction number Shl；
Step 6, pushing an optimal circulating pump combination mode and comparing a start-stop instruction and an execution time of the optimal circulating pump combination mode with the coal consumption of power supply before and after starting; controlling the start and stop of the circulating water pump by a cold end optimization automatic control system;
6.1, after the execution time is reached, the cold end optimization automatic control system preferentially triggers a sequential control pump starting instruction of the circulating water pump and reminds operators of monitoring and on-site monitoring;
6.2, after all the starting instructions are finished, executing a sequential control instruction of the pump to be stopped;
6.3, when the pump starting or stopping instruction is completed every time, triggering the next pump starting or stopping instruction after judging that the pump is started or stopped successfully according to the equipment state identification function in the cold end state analysis module;
6.4, if the operator does not confirm the optimal pump pushing combination mode before the suggested starting time, automatically ignoring the optimization operation by the system and not performing the automatic start-stop operation of the circulating water pump;
6.5, in the process of automatically starting and stopping the circulating pump in sequence control, if abnormity occurs, the automatic control system automatically quits, the control right is given to DCS and operators for control, and the subsequent operation is stopped; the operator can stop the automatic control operation at any time in the whole automatic control process.
Example two
On the basis of the first embodiment, the second embodiment of the application provides the implementation of the thermal power generating unit cold end optimization closed-loop control method based on intelligent scoring on the cold end optimization closed-loop control of a certain power plant:
this power plant totally 2 units, every unit configuration 3 circulating pumps do respectively: 1A, 1B, 1C, 2A, 2B and 2C, wherein 1C and 2C are high-low speed circulating pumps, and the normal operation mode of circulating water is an expansion unit system.
Step 1, acquiring load and weather forecast data of 12 hours in the future, and carrying out long-period load and weather forecast.
Step 2, analyzing and calculating the performance indexes of the cold end equipment according to the predicted load and meteorological data, and respectively calculating the current index and the optimized index; calculate the recommended flow (optimal vacuum corresponding flow) of No. 1 machine to 16.5m3The recommended flow of the No. 2 machine is 18.5m3Total flow rate of 35 m/s3/s。
Step 3, calculating a model according to a cold end optimization mechanism, and judging that the current total flow is 28m3And/s, deviating from the recommended flow by more than 10%, and continuing the following steps.
Step 4, on the principle that running circulating pumps are not on the same bus, 48 circulating pump combination modes are arranged in total, data are obtained from a DCS (distributed control system), a two-ticket system, an ERP (enterprise resource planning) system and an intelligent monitoring system, the equipment state of a cold-end system is analyzed, and 28 circulating pump combinations of maintenance, plate hanging and plate hanging are removed;
step 5, constructing a tracking pump combination intelligent scoring model, giving out an optimal tracking pump combination mode of a cold end, and according to historical data, when each tracking pump combination score meets expected requirements (the recommended tracking pump score S is more than or equal to 85, the starting and stopping times of each switching is less than or equal to 2, the power supply coal consumption starting and stopping income is more than or equal to 0.05g/kwh, and switching on and off of a contact valve and high and low speed switching operation are not performed), each constant and correction coefficient value are as follows:
Sst＝2；Ssp3; γ is 0.8; δ is 1.3; when Q is>Q′When the temperature of the water is higher than the set temperature,
when Q is less than or equal to Q′When the temperature of the water is higher than the set temperature,
Scv＝10；Shl＝5；β＝3。
step 6, the optimal combination mode of pushing is 1A, 1B, 2C (low), 9: 45 start 2C (low).
Claims (8)
1. A thermal power generating unit cold end optimization closed-loop control method based on intelligent scoring is characterized by comprising the following steps:
step 1, predicting the unit load in a set time length in the future, and synchronizing meteorological station data in the set time length in the future as meteorological prediction data;
step 2, according to the unit load and meteorological prediction data predicted in the step 1, combining the obtained current pump-following combination mode data, constructing a cold end optimization mechanism calculation model, and respectively calculating the current performance index and the optimized performance index of cold end equipment through the cold end optimization mechanism calculation model;
and 3, judging whether to push the start and stop operation of the circulating water pump according to the weather prediction data result obtained in the step 1 and by combining the circulating water flow under the optimal vacuum of the unit: if the deviation of the circulating water flow of each current unit and the circulating water flow under the optimal vacuum of the unit calculated by meteorological prediction data is larger than a deviation set value and the circulating water pump does not have start-stop operation within set time, pushing the start-stop operation of the circulating water pump, and continuing to execute the step 4; otherwise, pushing the start and stop operation of the circulating water pump is not carried out, and the process is ended;
step 4, acquiring data from the DCS, the two-ticket system, the ERP system and the intelligent monitoring system, analyzing the equipment state of the cold-end system, and eliminating circulating water pump combinations which do not accord with starting conditions;
step 5, constructing a circulating pump combination intelligent scoring model, scoring the circulating water pump combination screened in the step 4 by adopting the circulating pump combination intelligent scoring model, and giving a cold end optimal circulating pump combination mode;
and 5.1, scoring the circulating water pump combination screened in the step 4 to obtain a score S:
S＝100-(Sst+Ssp+Ssr+Sfcy+Sfe+Scv+Shl+Scs)
in the above formula，SstIndicates the starting operation deduction score, SspIndicating the shut down operation score, SsrRepresents the safe reliability deduction score, SfcyIndicating the percentage of plant power consumption, SfeRepresenting the flow deviation in deduction, ScvIndicating the number of contact valve switches, ShlIndicating the number of high and low speed switching buttons, ScsRepresents the long cycle suitability score;
wherein the safe reliability is given by the score SsrThe calculation formula of (2) is as follows:
in the above formula,. mu.1Indicating the number of non-erase alarm events, mu, for any particular combination of cycles2Representing the number of alarm events of any one combination of the circulating pumps for only 30 days, and gamma represents a safety and reliability correction coefficient;
wherein, the percentage of the plant power rate is deducted by the score SfcyFor the pump combination power consumption accounts for than in the station service, the formula is:
in the above formula, the first and second carbon atoms are,
represents the ratio of the power consumption of any pump combination in the prediction of the load service power,
representing the proportion of the current pump-following combined power consumption in the current load service power, and delta representing the correction coefficient of the service power proportion;
flow deviation deduction point SfeFor the deviation of the combined flow rate of the tracking pump from the optimum vacuum recommended flow rate, the formula is:
in the above formula, Q represents the circulating water flow of any circulating pump combination, and Q' represents the optimal vacuum recommended flow of the predicted load;
indicates the flow deviation correction coefficient, when Q>At the time of Q', the reaction mixture is,
when Q is less than or equal to Q',
long period applicability score ScsJudging whether the combined mode of the circulating pumps can run near the optimal vacuum for a long time according to the prediction data, wherein the formula is as follows:
in the above formula, H represents the duration of any of the pump combination flows maintained near the predicted optimum vacuum, and β represents the long-period applicability correction factor;
giving out starting operation deduction score S according to operation experiencestFraction S of operation stopspContact valve switch fraction ScvHigh and low speed switching deduction number ShlA value of (d);
step 5.2, sorting all the circulating pump combinations according to scores from high to low;
step 5.3, scoring the combination condition of all the circulating pumps in the historical data of the circulating water system, judging whether the obtained score meets the expected requirement, if not, then carrying out safety and reliability correction factor gamma, service power ratio correction factor delta and flow deviation correction factor in the step 5.1
Long period applicability correction factor beta and constantThe number is corrected, and the constant comprises a starting operation deduction number SstFraction S of operation stopspContact valve switch fraction ScvAnd high and low speed switching deduction number Shl；
Step 6, pushing an optimal circulating pump combination mode and comparing a start-stop instruction and an execution time of the optimal circulating pump combination mode with the coal consumption of power supply before and after starting; and controlling the start and stop of the circulating water pump by a cold end optimization automatic control system.
2. The thermal power generating unit cold end optimization closed-loop control method based on intelligent scoring as claimed in claim 1, wherein the meteorological station data in step 1 comprises: air temperature, air pressure, humidity, wind speed and rainfall.
3. The thermal power generating unit cold end optimization closed-loop control method based on intelligent scoring as claimed in claim 1, is characterized in that: in the step 2, the current pump combination mode data comprises cooling tower performance data, plant circulating water characteristic data, condenser performance data, unit micro-power-increasing characteristic data and unit heat consumption rate data; the period of calculating the current performance index and the optimized performance index of the cold end equipment is 10 minutes.
4. The thermal power generating unit cold end optimization closed-loop control method based on intelligent scoring as claimed in claim 1, is characterized in that: in the step 3, the deviation set value is 10% of the deviation of the circulating water flow; the set time for judging that the circulating water pump is not started or stopped is 4 hours.
5. The thermal power generating unit cold end optimization closed-loop control method based on intelligent scoring as claimed in claim 1, wherein step 4 specifically comprises the following steps:
step 4.1, numbering all circulating water pump combination modes { x }1，x2……xn}；
Step 4.2, acquiring data from the DCS, the two-ticket system, the ERP system and the intelligent monitoring system, analyzing the equipment state of the cold-end system, and eliminating circulating water which does not meet the starting conditionPump combination number { xo，xp……xm}。
6. The thermal power generating unit cold end optimization closed-loop control method based on intelligent scoring as recited in claim 5, wherein the method comprises the following steps: and 4.2, when the equipment state of the cold-end system is analyzed, identifying the starting conditions, including high-speed and low-speed state identification of the circulating water pump, state identification of a contact valve, equipment listing state identification, equipment standby state identification and equipment health degree identification.
7. The thermal power generating unit cold end optimization closed-loop control method based on intelligent scoring as claimed in claim 1 or 5, wherein step 6 specifically comprises the following steps:
6.1, after the execution time is reached, the cold end optimization automatic control system preferentially triggers a sequential control pump starting instruction of the circulating water pump and reminds operators of monitoring and on-site monitoring;
6.2, after all the starting instructions are finished, executing a sequential control instruction of the pump to be stopped;
6.3, when the pump starting or stopping instruction is completed every time, triggering the next pump starting or stopping instruction after judging that the pump is started or stopped successfully;
6.4, if the operator does not confirm the optimal combination mode of the circulating pumps to be pushed before the suggested starting time, the system does not perform automatic starting and stopping operation of the circulating water pumps;
and 6.5, in the process of automatically starting and stopping the circulating pump in sequence control, if abnormity occurs, the automatic control system automatically quits, the control right is given to DCS and operating personnel for control, and the subsequent operation is stopped.
8. The thermal power generating unit cold end optimization closed-loop control method based on intelligent scoring as claimed in claim 1, is characterized in that: in step 6, the execution time corresponding to the optimal pump combination mode is pushed for more than 30 minutes in advance.
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