CN117639225A - Tripping control optimization method for low-load auxiliary machine - Google Patents
Tripping control optimization method for low-load auxiliary machine Download PDFInfo
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Abstract
The invention discloses a tripping control optimization method of a low-load auxiliary machine, which specifically comprises the following steps: the system monitoring and data acquisition, installing sensors and monitoring equipment, and is used for monitoring main system parameters in real time, collecting and recording monitoring data to form a historical database for subsequent analysis and decision making, utilizing the historical data, applying time sequence analysis, predicting load conditions in a future period, analyzing the prediction results, and identifying low load conditions and the occurrence period thereof. The tripping control optimization method of the low-load auxiliary machine can realize the advantages of reducing energy cost, improving system efficiency, reducing running cost, maintaining system stability and the like in a low-load state, and brings remarkable improvement to energy management and system running.
Description
Technical Field
The invention relates to the field of power optimization, in particular to a tripping control optimization method for a low-load auxiliary machine.
Background
A low load auxiliary machine (also referred to as a low load auxiliary device) generally refers to a device for supporting a specific operation mode, standby capability, and system stability in a power system in the case where a base load is satisfied;
however, in the prior art, the low-load auxiliary machine has the problems of high energy consumption and poor efficiency in working, and the problems of high manual intervention frequency, poor automaticity, high maintenance cost and unstable system are caused;
therefore, the scheme provides a tripping control optimization method of the low-load auxiliary machine, and aims to improve the efficiency and the economy of the low-load auxiliary machine to the maximum extent on the premise of ensuring the stability of the system.
Disclosure of Invention
The invention mainly aims to provide a tripping control optimization method for a low-load auxiliary machine, which can effectively solve the technical problems in the background technology.
In order to achieve the above purpose, the technical scheme adopted by the invention is as follows:
the tripping control optimization method for the low-load auxiliary machine specifically comprises the following steps:
step one: the system monitoring and data acquisition are carried out, and a sensor and monitoring equipment are installed and used for monitoring main system parameters in real time, acquiring and recording monitoring data to form a historical database for subsequent analysis and decision making;
step two: using historical data, applying time series analysis, predicting load conditions in a period of time in the future, analyzing the prediction results, and identifying low load conditions and occurrence time periods thereof;
step three: setting a load threshold, and when the system load is lower than the threshold, the system is considered to be in a low load state;
in the low load state, the following two cases are considered:
case a: if the duration of the low load state is shorter, the operation of the auxiliary machine can be selectively maintained, but the output power of the auxiliary machine is adjusted to a lower level so as to keep the system stable;
case B: if the duration of the low load state is longer, stopping the auxiliary machine can be considered to reduce the ineffective energy consumption;
step four: formulating control logic to automatically respond to the low load state, and triggering the control logic when the system monitors that the low load state occurs;
step five: selecting a control strategy, namely selecting a proper control strategy according to the predicted time length of the low-load state, selecting a strategy for reducing the output power of the auxiliary machine if the low-load state is predicted to be short, predicting the low-load state to last for a long time, and selecting a strategy for stopping the operation of the auxiliary machine;
step six: implementing a control strategy, if a strategy for reducing output power is selected:
adjusting the operation parameters of the auxiliary machine, fuel supply and rotating speed to reduce output power, but keeping enough response speed to cope with the sudden load increase condition;
if a strategy for stopping operation is selected:
gradually reducing the load of the auxiliary machine until the auxiliary machine stops running;
the fuel supply and the electric power input are disconnected, so that the auxiliary machine is ensured to be safely stopped;
step seven: and monitoring system stability, namely monitoring system parameters in real time after implementing a control strategy, ensuring that the stability of a main system is not affected by the adjustment of an auxiliary machine, and if abnormal conditions are found, performing intervention in time, adjusting the control parameters and recovering the system stability.
As a further aspect of the present invention, in the first step, the sensor and the monitoring device specifically include the following:
a current sensor: the method is used for measuring the current and can help to judge the current load condition of the system;
a voltage sensor: for measuring voltage level, helping to know whether system voltage is stable;
a frequency sensor: the system is used for monitoring the change of the frequency of the power grid, and the frequency abnormality implies the change of the system load;
temperature sensor: for monitoring the temperature of equipment and components to prevent overheating or overcooling conditions;
a pressure sensor: for monitoring pressure conditions, such as water flow or gas flow, if liquid or gas flow is involved;
a speed sensor: for mechanical systems, it may be used to measure device rotational speed;
a light sensor: for detecting illumination intensity, for example for monitoring solar radiation in photovoltaic systems;
position sensor: for mechanically moving parts, it can be used to detect position information;
data recorder: the data acquisition device is used for recording data acquired by the sensor and storing the data as historical data for analysis;
network communication device: the sensor needs to transmit the acquired data to the control system.
As a further aspect of the present invention, in the second step, the time series analysis method adopts a moving average method for removing noise, revealing trend of data, and X is used t A current value of time t, n representing the size of the moving window;
the formula:
as a further aspect of the present invention, in the third step, the set load threshold is L, which indicates that the load is considered to be in the low load state when the load is lower than the threshold, in which case, a moving average is used to detect whether the low load state occurs, and the specific steps are as follows:
calculating a moving average: calculating a moving average of current MA over a period of time using a moving average formula T ；
Judging a low load state: comparing the calculated moving average MA T With a load threshold L, if MA T If the load is smaller than L, the system is in a low-load state;
triggering trip control: when the system detects that the auxiliary machine is in a low-load state, corresponding control operation is selected to be executed according to the control strategy set in the third step, wherein the control operation comprises the steps of reducing the output power of the auxiliary machine and stopping the operation of the auxiliary machine.
As a further aspect of the present invention, in the fourth step, the step of optimizing the control logic is as follows:
identifying a low load condition: writing codes or logic for identifying when the system is in a low load state according to the load threshold set in the third step, involving monitoring historical data, and comparing the relationship between the current load and the threshold;
selecting a control strategy: selecting a proper control strategy according to the identified low-load state, and formulating a specific control method according to the condition A and the condition B in the step three;
case a (short time low load): if the predicted duration of the low load state is shorter, the output power of the auxiliary machine can be optionally reduced to reduce the running cost of the system, and the fuel supply and rotating speed parameters are regulated;
case B (long-term low load): if the predicted duration of the low-load state is longer, stopping the operation of the auxiliary machine to avoid unnecessary energy consumption, gradually reducing the load of the auxiliary machine, and stopping power supply when the safe shutdown state is reached;
formulating control logic: converting the selected control strategy into actual control logic, writing codes and configuring control parameters, ensuring that the control logic can stably execute the selected strategy, and avoiding unstable system;
and (3) adding exception handling: taking abnormal conditions into consideration, including control failure and sensor failure, writing an abnormal processing mechanism, monitoring the system state in the control process, and taking timely action to restore normal operation;
simulation and test: before practical application, simulation and test are carried out, historical data or simulation data are used, and the correctness and effect of the control logic are verified;
optimization and iteration: according to the test result, optimizing and iterating, fine-tuning control parameters and adjusting threshold values to obtain a better control effect;
recording and document: and recording all control logic, parameter setting and test results for later maintenance and improvement.
In the fifth step, when a control strategy is selected, a suitable control strategy is determined according to the system requirement and the target, and the specific method is as follows:
knowledge of system requirements and goals: before selecting a control strategy, the requirements and targets of the system are defined, wherein the requirements and targets comprise energy conservation, cost reduction and system stability maintenance;
analyzing low load state characteristics: according to the load threshold value set in the third step, analyzing the characteristics of the low load state, and knowing the occurrence frequency and duration of the low load state, wherein the low load state is used for determining a proper strategy;
case a: and (3) reducing the output power of the auxiliary machine:
identifying a threshold: setting a threshold value for the condition A, which indicates when the system is judged to be in a low-load state, and reducing the output power of the auxiliary machine is required;
determining an adjustment mode: determining when and how to gradually reduce the output power of the auxiliary machine according to the threshold value and the historical data, and simultaneously, adjusting fuel supply and rotating speed parameters;
case B: stopping the operation of the auxiliary machine:
identifying a threshold: setting a threshold value for the condition B, which indicates when the system is judged to be in a low-load state and the operation of the auxiliary machine needs to be stopped;
gradually reducing the load: gradually reducing the load of the auxiliary machine according to the threshold value and the historical data until the safe shutdown state is reached;
and (5) cutting off power supply: under the safe shutdown state of the auxiliary machine, the fuel supply and the power input are disconnected, and the shutdown of the auxiliary machine is ensured.
Compared with the prior art, the main objective of the tripping control optimization method of the low-load auxiliary machine is to realize energy consumption reduction, system efficiency improvement and system stability maintenance in a low-load state, and the following beneficial effects are realized by combining various steps and strategies:
the running state of the auxiliary machine is dynamically adjusted according to the load condition by optimizing the control logic, so that unnecessary energy consumption can be reduced, and the energy cost is reduced;
the optimized control strategy can enable the system to run more efficiently in a low-load state, excessive power supply and energy waste are avoided, and therefore overall system efficiency is improved;
the fuel consumption and maintenance cost can be reduced by reducing the output power of the auxiliary machine or stopping the operation, and the operation cost can be obviously reduced especially in a long-time low-load state;
by implementing stability monitoring and optimizing control strategies, the system is ensured to still keep running stably under a low-load state, and the problems of voltage deviation, frequency fluctuation and the like are avoided;
the optimization method combines the sensor, the monitoring equipment and the automatic control logic, realizes the automatic adjustment of the operation state of the auxiliary machine in a low-load state, and reduces the manual intervention;
based on time sequence analysis and machine learning, the optimization method has the capability of predicting a low-load state, can recognize possible low-load conditions earlier and responds timely;
the energy consumption is reduced, the environmental pollution and carbon emission can be reduced by the optimization method, and the influence on the environment is smaller;
the optimization method can reduce the workload of the artificial operation and maintenance and improve the operation and maintenance efficiency through automatic control and stability monitoring;
in summary, the tripping control optimization method of the low-load auxiliary machine can realize the beneficial effects of reducing energy cost, improving system efficiency, reducing running cost, maintaining system stability and the like in a low-load state, and brings remarkable improvement to energy management and system running.
Drawings
Fig. 1 is a flowchart of a tripping control optimization method of a low-load auxiliary machine.
Detailed Description
The invention is further described in connection with the following detailed description, in order to make the technical means, the creation characteristics, the achievement of the purpose and the effect of the invention easy to understand.
As shown in fig. 1, a tripping control optimization method for a low-load auxiliary machine specifically comprises the following steps:
step one: the system monitoring and data acquisition are carried out, and a sensor and monitoring equipment are installed and used for monitoring main system parameters in real time, acquiring and recording monitoring data to form a historical database for subsequent analysis and decision making;
step two: using historical data, applying time series analysis, predicting load conditions in a period of time in the future, analyzing the prediction results, and identifying low load conditions and occurrence time periods thereof;
step three: setting a load threshold, and when the system load is lower than the threshold, the system is considered to be in a low load state;
in the low load state, the following two cases are considered:
case a: if the duration of the low load state is shorter, the operation of the auxiliary machine can be selectively maintained, but the output power of the auxiliary machine is adjusted to a lower level so as to keep the system stable;
case B: if the duration of the low load state is longer, stopping the auxiliary machine can be considered to reduce the ineffective energy consumption;
step four: formulating control logic to automatically respond to the low load state, and triggering the control logic when the system monitors that the low load state occurs;
step five: selecting a control strategy, namely selecting a proper control strategy according to the predicted time length of the low-load state, selecting a strategy for reducing the output power of the auxiliary machine if the low-load state is predicted to be short, predicting the low-load state to last for a long time, and selecting a strategy for stopping the operation of the auxiliary machine;
step six: implementing a control strategy, if a strategy for reducing output power is selected:
adjusting the operation parameters of the auxiliary machine, fuel supply and rotating speed to reduce output power, but keeping enough response speed to cope with the sudden load increase condition;
if a strategy for stopping operation is selected:
gradually reducing the load of the auxiliary machine until the auxiliary machine stops running;
the fuel supply and the electric power input are disconnected, so that the auxiliary machine is ensured to be safely stopped;
step seven: and monitoring system stability, namely monitoring system parameters in real time after implementing a control strategy, ensuring that the stability of a main system is not affected by the adjustment of an auxiliary machine, and if abnormal conditions are found, performing intervention in time, adjusting the control parameters and recovering the system stability.
In the first step, the sensor and the monitoring device specifically include the following:
a current sensor: the method is used for measuring the current and can help to judge the current load condition of the system;
a voltage sensor: for measuring voltage level, helping to know whether system voltage is stable;
a frequency sensor: the system is used for monitoring the change of the frequency of the power grid, and the frequency abnormality implies the change of the system load;
temperature sensor: for monitoring the temperature of equipment and components to prevent overheating or overcooling conditions;
a pressure sensor: for monitoring pressure conditions, such as water flow or gas flow, if liquid or gas flow is involved;
a speed sensor: for mechanical systems, it may be used to measure device rotational speed;
a light sensor: for detecting illumination intensity, for example for monitoring solar radiation in photovoltaic systems;
position sensor: for mechanically moving parts, it can be used to detect position information;
data recorder: the data acquisition device is used for recording data acquired by the sensor and storing the data as historical data for analysis;
network communication device: the sensor needs to transmit the acquired data to the control system.
In step two, time series analysisThe method adopts a moving average method for removing noise, revealing trend of data, and X is used t A current value of time t, n representing the size of the moving window;
the formula:
the formula is explained as follows: the current data over a period of time is assumed to be as follows:
| time t | Current X t |
| 1 | 10 |
| 2 | 12 |
| 3 | 11 |
| 4 | 13 |
| 5 | 14 |
Selecting n=3 as the moving window size, then one can calculate:
by calculating the moving average, a smoothed current value can be obtained to better observe its trend.
In step three, the load threshold value is set to be L, which indicates that the load is considered to be in a low load state when the load is lower than this threshold value, in which case a moving average is used to detect whether the low load state occurs, specifically as follows:
calculating a moving average: calculating a moving average of current MA over a period of time using a moving average formula T ；
Judging a low load state: comparing the calculated moving average MA T With a load threshold L, if MA T If the load is smaller than L, the system is in a low-load state;
triggering trip control: when the system detects that the auxiliary machine is in a low-load state, corresponding control operation is selected to be executed according to the control strategy set in the third step, wherein the control operation comprises the steps of reducing the output power of the auxiliary machine and stopping the operation of the auxiliary machine.
In the fourth step, the steps of optimizing the control logic are as follows:
identifying a low load condition: writing codes or logic for identifying when the system is in a low load state according to the load threshold set in the third step, involving monitoring historical data, and comparing the relationship between the current load and the threshold;
selecting a control strategy: selecting a proper control strategy according to the identified low-load state, and formulating a specific control method according to the condition A and the condition B in the step three;
case a (short time low load): if the predicted duration of the low load state is shorter, the output power of the auxiliary machine can be optionally reduced to reduce the running cost of the system, and the fuel supply and rotating speed parameters are regulated;
case B (long-term low load): if the predicted duration of the low-load state is longer, stopping the operation of the auxiliary machine to avoid unnecessary energy consumption, gradually reducing the load of the auxiliary machine, and stopping power supply when the safe shutdown state is reached;
formulating control logic: converting the selected control strategy into actual control logic, writing codes and configuring control parameters, ensuring that the control logic can stably execute the selected strategy, and avoiding unstable system;
and (3) adding exception handling: taking abnormal conditions into consideration, including control failure and sensor failure, writing an abnormal processing mechanism, monitoring the system state in the control process, and taking timely action to restore normal operation;
simulation and test: before practical application, simulation and test are carried out, historical data or simulation data are used, and the correctness and effect of the control logic are verified;
optimization and iteration: according to the test result, optimizing and iterating, fine-tuning control parameters and adjusting threshold values to obtain a better control effect;
recording and document: and recording all control logic, parameter setting and test results for later maintenance and improvement.
In the fifth step, when a control strategy is selected, a proper control strategy is determined according to the system requirement and the target, and the specific method is as follows:
knowledge of system requirements and goals: before selecting a control strategy, the requirements and targets of the system are defined, wherein the requirements and targets comprise energy conservation, cost reduction and system stability maintenance;
analyzing low load state characteristics: according to the load threshold value set in the third step, analyzing the characteristics of the low load state, and knowing the occurrence frequency and duration of the low load state, wherein the low load state is used for determining a proper strategy;
case a: and (3) reducing the output power of the auxiliary machine:
identifying a threshold: setting a threshold value for the condition A, which indicates when the system is judged to be in a low-load state, and reducing the output power of the auxiliary machine is required;
determining an adjustment mode: determining when and how to gradually reduce the output power of the auxiliary machine according to the threshold value and the historical data, and simultaneously, adjusting fuel supply and rotating speed parameters;
case B: stopping the operation of the auxiliary machine:
identifying a threshold: setting a threshold value for the condition B, which indicates when the system is judged to be in a low-load state and the operation of the auxiliary machine needs to be stopped;
gradually reducing the load: gradually reducing the load of the auxiliary machine according to the threshold value and the historical data until the safe shutdown state is reached;
and (5) cutting off power supply: under the safe shutdown state of the auxiliary machine, the fuel supply and the power input are disconnected, and the shutdown of the auxiliary machine is ensured.
The foregoing has shown and described the basic principles and main features of the present invention and the advantages of the present invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and that the above embodiments and descriptions are merely illustrative of the principles of the present invention, and various changes and modifications may be made without departing from the spirit and scope of the invention, which is defined in the appended claims. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (6)
1. The tripping control optimization method for the low-load auxiliary machine is characterized by comprising the following steps of: the method specifically comprises the following steps:
step one: the system monitoring and data acquisition are carried out, and a sensor and monitoring equipment are installed and used for monitoring main system parameters in real time, acquiring and recording monitoring data to form a historical database for subsequent analysis and decision making;
step two: using historical data, applying time series analysis, predicting load conditions in a period of time in the future, analyzing the prediction results, and identifying low load conditions and occurrence time periods thereof;
step three: setting a load threshold, and when the system load is lower than the threshold, the system is considered to be in a low load state;
in the low load state, the following two cases are considered:
case a: if the duration of the low load state is shorter, the operation of the auxiliary machine can be selectively maintained, but the output power of the auxiliary machine is adjusted to a lower level so as to keep the system stable;
case B: if the duration of the low load state is longer, stopping the auxiliary machine can be considered to reduce the ineffective energy consumption;
step four: formulating control logic to automatically respond to the low load state, and triggering the control logic when the system monitors that the low load state occurs;
step five: selecting a control strategy, namely selecting a proper control strategy according to the predicted time length of the low-load state, selecting a strategy for reducing the output power of the auxiliary machine if the low-load state is predicted to be short, predicting the low-load state to last for a long time, and selecting a strategy for stopping the operation of the auxiliary machine;
step six: implementing a control strategy, if a strategy for reducing output power is selected:
adjusting the operation parameters of the auxiliary machine, fuel supply and rotating speed to reduce output power, but keeping enough response speed to cope with the sudden load increase condition;
if a strategy for stopping operation is selected:
gradually reducing the load of the auxiliary machine until the auxiliary machine stops running;
the fuel supply and the electric power input are disconnected, so that the auxiliary machine is ensured to be safely stopped;
step seven: and monitoring system stability, namely monitoring system parameters in real time after implementing a control strategy, ensuring that the stability of a main system is not affected by the adjustment of an auxiliary machine, and if abnormal conditions are found, performing intervention in time, adjusting the control parameters and recovering the system stability.
2. The low-load auxiliary machine trip control optimization method according to claim 1, characterized by: in the first step, the sensor and the monitoring device specifically include the following:
a current sensor: the method is used for measuring the current and can help to judge the current load condition of the system;
a voltage sensor: for measuring voltage level, helping to know whether system voltage is stable;
a frequency sensor: the system is used for monitoring the change of the frequency of the power grid, and the frequency abnormality implies the change of the system load;
temperature sensor: for monitoring the temperature of equipment and components to prevent overheating or overcooling conditions;
a pressure sensor: for monitoring pressure conditions, such as water flow or gas flow, if liquid or gas flow is involved;
a speed sensor: for mechanical systems, it may be used to measure device rotational speed;
a light sensor: for detecting illumination intensity, for example for monitoring solar radiation in photovoltaic systems;
position sensor: for mechanically moving parts, it can be used to detect position information;
data recorder: the data acquisition device is used for recording data acquired by the sensor and storing the data as historical data for analysis;
network communication device: the sensor needs to transmit the acquired data to the control system.
3. The low-load auxiliary machine trip control optimization method according to claim 1, characterized by: in the second step, the time sequence analysis method adopts a moving average method for removing noise, revealing the trend of the data and using X t A current value of time t, n representing the size of the moving window;
the formula:
4. the low-load auxiliary machine trip control optimization method according to claim 1, characterized by: in the third step, the set load threshold is L, which indicates that the load is considered to be in a low load state when the load is lower than the threshold, in which case a moving average is used to detect whether the low load state occurs, and the specific steps are as follows:
calculating shiftMoving average: calculating a moving average of current MA over a period of time using a moving average formula T ；
Judging a low load state: comparing the calculated moving average MA T With a load threshold L, if MA T If the load is smaller than L, the system is in a low-load state;
triggering trip control: when the system detects that the auxiliary machine is in a low-load state, corresponding control operation is selected to be executed according to the control strategy set in the third step, wherein the control operation comprises the steps of reducing the output power of the auxiliary machine and stopping the operation of the auxiliary machine.
5. The low-load auxiliary machine trip control optimization method according to claim 1, characterized by: in the fourth step, the step of optimizing the control logic is as follows:
identifying a low load condition: writing codes or logic for identifying when the system is in a low load state according to the load threshold set in the third step, involving monitoring historical data, and comparing the relationship between the current load and the threshold;
selecting a control strategy: selecting a proper control strategy according to the identified low-load state, and formulating a specific control method according to the condition A and the condition B in the step three;
case a (short time low load): if the predicted duration of the low load state is shorter, the output power of the auxiliary machine can be optionally reduced to reduce the running cost of the system, and the fuel supply and rotating speed parameters are regulated;
case B (long-term low load): if the predicted duration of the low-load state is longer, stopping the operation of the auxiliary machine to avoid unnecessary energy consumption, gradually reducing the load of the auxiliary machine, and stopping power supply when the safe shutdown state is reached;
formulating control logic: converting the selected control strategy into actual control logic, writing codes and configuring control parameters, ensuring that the control logic can stably execute the selected strategy, and avoiding unstable system;
and (3) adding exception handling: taking abnormal conditions into consideration, including control failure and sensor failure, writing an abnormal processing mechanism, monitoring the system state in the control process, and taking timely action to restore normal operation;
simulation and test: before practical application, simulation and test are carried out, historical data or simulation data are used, and the correctness and effect of the control logic are verified;
optimization and iteration: according to the test result, optimizing and iterating, fine-tuning control parameters and adjusting threshold values to obtain a better control effect;
recording and document: and recording all control logic, parameter setting and test results for later maintenance and improvement.
6. The low-load auxiliary machine trip control optimization method according to claim 1, characterized by: in the fifth step, when a control strategy is selected, a proper control strategy is determined according to the system requirement and the target, and the specific method is as follows:
knowledge of system requirements and goals: before selecting a control strategy, the requirements and targets of the system are defined, wherein the requirements and targets comprise energy conservation, cost reduction and system stability maintenance;
analyzing low load state characteristics: according to the load threshold value set in the third step, analyzing the characteristics of the low load state, and knowing the occurrence frequency and duration of the low load state, wherein the low load state is used for determining a proper strategy;
case a: and (3) reducing the output power of the auxiliary machine:
identifying a threshold: setting a threshold value for the condition A, which indicates when the system is judged to be in a low-load state, and reducing the output power of the auxiliary machine is required;
determining an adjustment mode: determining when and how to gradually reduce the output power of the auxiliary machine according to the threshold value and the historical data, and simultaneously, adjusting fuel supply and rotating speed parameters;
case B: stopping the operation of the auxiliary machine:
identifying a threshold: setting a threshold value for the condition B, which indicates when the system is judged to be in a low-load state and the operation of the auxiliary machine needs to be stopped;
gradually reducing the load: gradually reducing the load of the auxiliary machine according to the threshold value and the historical data until the safe shutdown state is reached;
and (5) cutting off power supply: under the safe shutdown state of the auxiliary machine, the fuel supply and the power input are disconnected, and the shutdown of the auxiliary machine is ensured.
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