TWI454903B - Method of controlling for saving energy - Google Patents

Description

Energy saving control method

The disclosure is an energy-saving control method, which is based on the state of use of the field to control a plurality of power devices arranged in parallel to optimize efficiency and energy saving.

Industrial electricity consumption accounts for a large proportion of the total electricity consumption. However, the power consumption of motor-driven equipment in all industrial electricity accounts for a large proportion of industrial electricity consumption. Therefore, motor-driven equipment is the main energy consumption in the industry. device of.

According to the research report of Information and Communication Technology (ICT) and Energy Efficiency (EU), the application of ICT technology to motor power systems should have 20% to 40% energy saving space, while current motor power The energy-saving technology of the equipment is introduced into the variable-frequency drive technology, or replaced by high-efficiency equipment components to achieve high-efficiency operation requirements.

However, in systems with large fluctuations in demand, multiple machines are often used in parallel. However, in multi-machine parallel connection, there may be a combination of fixed frequency and frequency conversion, and the horsepower of the power equipment is different. Experienced operation, it is not easy to implement efficiency and energy efficiency optimization.

In view of the above disadvantages, the purpose of the present disclosure is to provide an energy-saving control method capable of paralleling and energy-saving control of power equipment according to the current situation of real field use, in order to implement optimized efficiency and energy saving.

In order to achieve the above object, the technical means of the present disclosure is to provide an energy-saving control method, which is applied to a plurality of power devices arranged in parallel, and the steps of the control method include: providing a target value; providing a limiting condition to Calculating the performance data of each power device to obtain a safe operating range; providing a control signal to the corresponding power device; if the operating state of each power device meets the target value, each power device continues to operate, and if not, then the next a step; and slightly adjusting the control signal and returning to the step of providing the control signal.

In summary, the energy-saving control method of the present disclosure monitors the operating states of the plurality of power devices by using at least one monitoring module to confirm that the operating state reaches a target value, and if not, fine-tunes to achieve minimum energy consumption. In order to implement optimized efficiency and energy saving.

The disclosure can also use the information of the operating state to perform efficiency and energy consumption analysis, and sense the pressure value, power value or pressure difference value of the power device to analyze the actual working point and efficiency of each power device.

The embodiments of the present disclosure are described below by way of specific embodiments, and those skilled in the art can readily understand the other advantages and functions of the disclosure.

Referring to FIG. 1 , the disclosure is an energy-saving control method applied to a plurality of power units 10 arranged in parallel.

As shown in FIG. 2, each power device 10 is electrically connected to a monitoring module 11. The monitoring module 11 is electrically connected to a control module 15. In this embodiment, the electrical connection is wired.

Referring to FIG. 3, another embodiment of the monitoring module 11A is shown. In this embodiment, the monitoring module 11A is electrically connected to the power device 10, and the monitoring module 11A is electrically connected to the control module 15A. In the example, the electrical connection is wireless.

In the second embodiment as described above, the monitoring module 11, 11A can have one of the differential pressure gauges 12, 12A, a flow meter 13, 13A or an electric meter 14, 14A or a combination of the two, the control module Groups 15, 15A can be a computer or an embedded device.

Referring to FIG. 2 and FIG. 7 , the steps of the control method include: setting a target value of 20, and providing a target value to the control module 15 , where the target value can be a speed ratio, an efficiency value, a power value, One of a pressure value, a speed value, a performance value, and a state of a power device; as shown in Figures 6 to 7 is a plant performance, efficiency, and power information for the power plant, the disclosure is capable of applying the information, The better value is obtained to meet the target value; please refer to the reference figure 4, which is the performance curve information of the power unit at different speeds; please refer to the reference figure 5, which is the efficiency curve of the power unit at different speeds. Please refer to Figure 6 for the power curve of the power unit at different speeds.

The operation analysis 21 sets a restriction condition based on a performance information, an efficiency information, a power information, a Net Positive Suction Head (NPSH) information, a pipeline impedance curve, or a system limitation. One of the conditions is for the control module 15 to calculate the performance data of each power device 10 to obtain a safe operating range.

Please refer to the figure shown in Figure 8. The calculation method can be a gene algorithm, and the steps are as follows:

Set chromosome 30: Provide a parameter of the state and speed ratio of each power unit 10 to set a chromosome.

Setting the error value 31: providing a range of error values for a target value, which can range from ±0.5 to ±3%.

Setting weight 32: providing one of the target value error weight (Wq) and one power difference weight (Wp), Wq and Wp can be a value of 0 to 1, and Wq and Wp should be added to 0 to 1, preferably , Wq and Wp should be added to 1.

Input chromosome 33: Provide N sets of randomly selected chromosomes, N being a constant.

Sort 34: If the target value is within the error range, the power is sorted from small to large, or if the target value is outside the error range, the adaptive function is calculated from Wq and Wp, and the adaptive function is arranged from small to large.

Retain and copy chromosome 35: retain a number of excellent chromosomes and copy the number to the N group of chromosomes.

Mating 36: Preserves the X% chromosome before the ranking, and mates the X% chromosome with (1-X%), which is a constant.

Mutation 37: Mutation was carried out by mating the staining system.

The operational value and power 38 are calculated: based on the mutated chromosome, to calculate the operational value and power of each power device 10.

Whether the target value 39 is met: whether the operation value and the power meet the target value, and if so, to the next step, if not, then return to the step of sorting 34.

Whether the minimum power convergence number 40 is satisfied: if yes, proceed to the next step, and if not, return to the step of sorting 34.

Output 41: A control signal is output according to the operation value and the power.

Output control signal 22: The control module 15 provides the above control signal to the corresponding power device 10, and the output of the control signal can be analog output, TTL digital signal output or pulse wide frequency modulation output.

Whether the operating state meets the target value of 23: if yes, each power device 10 continues to operate, the monitoring module 11 monitors the power device 10 corresponding thereto, and transmits the monitored value to the control module 15, if not, then to the next One step.

Fine-tuning 24: The meter adjusts the control signal and returns to the step of outputting the control signal 22.

Referring to FIG. 9 , the step of fine-tuning 24 can be: providing a target value and an actual difference (e), so that a fuzzy controller 50 calculates an instantaneous error value (Δe). The error value is the error difference before and after a preset time zone, that is, Δe(t)=e(t)-(t-1), and t is time, and the control signal is adjusted according to the instantaneous error value.

If the actual difference is the difference of an actual flow, the instantaneous error value is an instantaneous flow error value.

In summary, when the system of various oil, electricity, water or gas that supports the production process in the industry is controlled by a multi-machine parallel device, the information on the operational status is analyzed for efficiency and energy consumption, and each of the sensors is sensed. The pressure value, power value or pressure difference of the power plant 10 is used to analyze the actual operating point and efficiency of each power plant 10.

The monitoring modules 11 and 11A monitor the operating states of the plurality of power units 10 to confirm that the operating state reaches the target value, and if not, perform fine tuning to achieve minimum energy consumption, thereby implementing optimized efficiency and energy saving. .

The specific embodiments described above are only used to illustrate the features and functions of the present disclosure, and are not intended to limit the scope of the disclosure, and may be used without departing from the spirit and scope of the disclosure. Equivalent changes and modifications made to the disclosure disclosed herein are still covered by the scope of the following claims.

10. . . Power plant

11, 11A. . . Monitoring module

12, 12A. . . Differential Pressure Gauge

13, 13A. . . Flow meter

14, 14A. . . Electric meter

15, 15A. . . Control module

20~24. . . step

30~41. . . step

50. . . Fuzzy controller

Figure 1 is a schematic diagram of the configuration of a plurality of power units arranged in parallel.

Figure 2 is a schematic diagram of the configuration of each power unit, a monitoring module and a control module.

FIG. 3 is a schematic diagram showing the configuration of another embodiment of each power device, monitoring module and control module.

Figure 4 shows the performance curve of the power unit at different speeds (flow) and head.

Figure 5 shows the efficiency curve of the power unit at different speeds (flow rates) and efficiency.

Figure 6 shows the power curve curve of the power unit at different speeds (flow) and power.

Figure 7 is a schematic flow chart of the energy-saving control method disclosed in the present disclosure.

Figure 8 is a schematic flow chart of the genetic algorithm disclosed in the present disclosure.

Figure 9 is a schematic diagram of the fine tuning of the present disclosure.

20~24. . . step

Claims (18)

An energy-saving control method is applied to a plurality of power devices arranged in parallel, the steps of the control method include: providing a target value; providing a limiting condition to calculate performance data of each power device, and obtaining a safe operation Range; providing a control signal to the corresponding power device; if the operating state of each power device meets the target value, each power device continues to operate, if not, to the next step; and slightly adjust the control signal, and return to The step of providing the control signal. The energy-saving control method according to claim 1, wherein the target value can be a speed ratio, an efficiency value, a power value, a pressure value, a speed value, a performance value, and a power device state. One of them. The energy-saving control method described in claim 1, wherein the limitation condition is based on a performance information, an efficiency information, a power information, a net suction head information, a pipeline impedance curve, or a system limitation condition. One of them. The energy-saving control method described in claim 1, wherein the method for calculating the performance data of each power device is a genetic algorithm. The method for controlling energy saving according to claim 4, wherein the step of the gene algorithm comprises: providing a power device state and parameters to set a chromosome; providing a range of error values of the target value; providing the One of the target values is an error weight and a power difference weight; N sets of randomly selected chromosomes are provided, N is a constant; if the target value is within the error range, a power is sorted from small to large, or if the target value is within the error range In addition, according to the error weight and the power difference weight, an adaptive function is calculated, and the adaptation function is arranged from small to large; a number of chromosomes are reserved, and the number is copied to the N group of chromosomes; % of the chromosome, and the X% chromosome is mated with (1-X%), the X system is a constant; the dyeing system is mated to mutate; based on the mutated chromosome, the operational value of each power device 10 is calculated And power; if the operation value and the power meet the target value, proceed to the next step, if not, return to the step of sorting; if a minimum power convergence number is satisfied, then proceed to the next step If not, go back to the step of the sorting; and according to the value and the power operation, outputs a control signal. The energy-saving control method as described in claim 5, wherein the parameter is a parameter of a speed ratio. The energy-saving control method according to claim 5, wherein the error value can range from ±0.5 to ±3%. The energy saving control method according to claim 5, wherein the error weight and the power difference weight are values of 0 to 1, and the error weight is added to the power difference weight to be 0 to 1. The energy-saving control method according to claim 8, wherein the error weight is added to the power difference weight to 1. The energy-saving control method according to claim 1, wherein the step of fine-tuning has: providing a target value and an actual difference, so that a fuzzy controller calculates an instantaneous error value, and according to the moment The error value to adjust the control signal. The energy-saving control method according to claim 10, wherein the instantaneous error value is an error difference before and after a preset time zone. The energy-saving control method according to claim 10, wherein the actual difference is a difference of an actual flow value, and the instantaneous error value is an instantaneous flow error value. The energy-saving control method as described in claim 1, wherein the target value is provided to a control module. The energy-saving control method of claim 13, wherein the control module is one of a computer or an embedded device. For example, in the energy-saving control method described in claim 13, one monitoring module monitors the corresponding power device and transmits the monitored value to the control module. The energy-saving control method according to claim 15 , wherein the monitoring module is electrically connected to the control module by wire or wireless. The energy-saving control method of claim 15, wherein the monitoring module can have one or a combination of at least one of a differential pressure gauge, a flow rate, or an electricity meter. The energy-saving control method of claim 1, wherein the output of the control signal can be one of an analog output, a TTL digital signal output, or a pulse width modulation output.