Disclosure of Invention
One of the purposes of the invention is to provide a pump station energy-saving dispatching system for comparing real-time operation data of a pump station with historical statistical data and making dispatching instructions for starting and stopping each pump in the pump station according to the comparison result.
The above object of the present invention is achieved by the following technical solutions:
the energy-saving scheduling system for the pump station comprises a parameter input module, an acquisition module, a storage module, a statistical module and a scheduling module; the parameter input module, the acquisition module, the storage module and the statistics module are electrically connected in sequence, and the acquisition module and the statistics module are respectively electrically connected with the scheduling module; wherein:
(a) a parameter input module: the system is used for inputting the phase number, rated voltage and rated power factors of the corresponding motor of each pump in the pump station;
(b) an acquisition module: the system is used for collecting the total flow of fluid passing through a pump station and the current value of a motor corresponding to each pump in real time;
(c) a storage module: the data acquisition module is used for acquiring data and calculating the result of the operation module;
(d) an operation module: the system is used for carrying out statistical analysis and calculation on historical data stored by the storage module and giving out the optimal pump station operation mode and the corresponding total power in each flow interval;
(e) a scheduling module: and the system is used for comparing the current flow interval and the current pump station operation mode corresponding to the acquisition value of the acquisition module with the optimal pump station operation mode in the flow interval of the operation module and giving a scheduling instruction.
The second purpose of the invention is to provide a scheduling method based on the energy-saving scheduling system of the pump station, so as to solve the technical problems that the existing energy-saving scheduling of the pump station excessively depends on pump performance curve information and the technology and experience of professional technicians and is not objective and accurate. The method comprises the following steps:
(a) motor parameter input step: the phase number, rated voltage and rated power factors of the corresponding motor of each pump of the pump station are respectively input in sequence through the parameter input module;
(b) and (3) operating data acquisition: the method comprises the steps that total flow of fluid passing through a pump station and current values of motors corresponding to the pumps are collected in real time through a collection module;
(c) a data storage step: storing the operation data acquisition value through a storage module;
(d) and running a data mode encoding step: performing pump station operation mode coding on each operation data stored in the data storage module through the operation module, and calculating a corresponding pump station total power value;
(e) and historical flow interval statistics step: dividing intervals for all historical operating data according to flow through an operation module, counting to obtain an average value of total power values of the pump stations corresponding to the operating mode codes of the pump stations in each interval, and obtaining an optimal operating mode of the pump station in each historical flow interval and an average value of total power of the pump station corresponding to the optimal operating mode;
(f) current operation mode encoding: carrying out mode coding on the currently acquired data through an operation module to obtain a current pump station operation mode;
(g) judging whether the current pump station operation mode is in the historical flow interval statistical result or not through the operation module, and if not, updating the current operation mode into the historical flow interval statistical result; if yes, the next step (h) is carried out;
(h) judging whether the current pump station operation mode is the optimal mode of the historical flow interval in the step (e) through an operation module, if not, giving an optimal scheduling instruction through a scheduling module, calculating the difference between the optimal scheduling instruction and the total power of the pump station in the current pump station operation mode, and giving a power saving power value; if yes, scheduling is not carried out, and the judgment is finished.
Specifically, the operation data pattern coding in the step (d) is to sequentially compare the current value of the motor corresponding to each pump in the pump station with the current critical value, if the current value of the motor is greater than the current critical value, the pump code at the position is 1, otherwise, the code is 0, and thus a string of codes representing the start-stop state of each pump in the pump station is formed.
Specifically, in the step (d), the total power value of the pump station is calculated by sequentially calculating the power of the motor corresponding to each pump according to the motor parameter input information and the collected current value of the motor corresponding to each pump, and then summing the power values to obtain the total power value of the pump station of each operation data.
Specifically, the historical traffic interval statistics in step (e) specifically includes the following steps:
step (I) of dividing historical flow intervals: uniformly dividing the historical flow interval into a plurality of equal parts according to the sequence of the total flow of the pump stations from small to large to form a plurality of historical flow intervals;
(II) calculating the average value of the total power of the pump stations corresponding to the operation modes of each pump station in the flow interval: grouping historical data according to the operation mode of the pump station in each historical flow interval, and counting the average value of the total power value of the pump station corresponding to each operation mode of the pump station in the historical flow interval;
(III) determining the optimal pump station operation mode and the corresponding total power mean value in each historical flow interval: and in each historical flow interval, taking the pump station operation mode with the minimum total power mean value of the pump station as the optimal pump station operation mode in the historical flow interval.
Compared with the prior art, the invention has the following beneficial effects:
(1) the invention considers the centrifugal pump and the corresponding motor in combination, only needs to collect the pump station flow and the current data of each motor, has less collected information types and is easy to realize, provides a coding method of the operation mode of the pump station, and greatly facilitates the judgment and the grouping comparison of the operation modes of the pump station under different pump station flows.
(2) The making of the pump station energy-saving scheduling instruction is established on the basis of the statistical analysis of the historical data of the pump station, and does not need to depend on a specific pump station design scheme, a pump performance curve and pipe network information, so that the application range of the pump station energy-saving scheduling system and the scheduling scheme thereof is greatly expanded, and the stability and the reliability of the pump station scheduling are improved.
(3) The scheduling system and the scheduling method thereof provided by the invention have the advantages of wide universality, clear logic, simple and convenient operation, lower cost and easy programming realization.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples.
Referring to fig. 1, the energy-saving scheduling system for a pump station in this embodiment includes a parameter input module 1, an acquisition module 2, a storage module 3, a statistics module 4, and a scheduling module 5; the parameter input module 1, the acquisition module 2, the storage module 3 and the statistic module 4 are electrically connected in sequence, and the acquisition module 2 and the statistic module 4 are respectively electrically connected with the scheduling module 5; wherein:
(a) parameter input module 1: the system is used for inputting the phase number, rated voltage and rated power factors of the corresponding motor of each pump in the pump station;
(b) the acquisition module 2: the system is used for collecting the total flow of fluid passing through a pump station and the current value of a motor corresponding to each pump in real time;
(c) the storage module 3: the data acquisition module is used for acquiring data acquired by the acquisition module 2 and calculating a result of the operation module 4;
(d) the operation module 4: the system is used for carrying out statistical analysis and calculation on historical data stored in the storage module 3 and giving out the optimal pump station operation mode and the corresponding total power in each flow interval;
(e) the scheduling module 5: and the system is used for comparing the current flow interval and the current pump station operation mode corresponding to the acquisition value of the acquisition module 2 with the optimal pump station operation mode in the flow interval of the operation module 4 and giving a scheduling instruction.
Referring to fig. 2, the scheduling method of the energy-saving scheduling system for the pump station of the present invention includes the following steps:
(a) motor parameter input step S1: the phase number, rated voltage and rated power factors of the corresponding motor of each pump of the pump station are respectively input in sequence through the parameter input module 1;
(b) an operation data acquisition step S2: the total flow of the fluid passing through the pump station and the current value of the motor corresponding to each pump are collected in real time through the collection module 2;
(c) data storage step S3: storing the operation data acquisition value through a storage module 3;
(d) the operation data pattern encoding step S4: and carrying out pump station operation mode coding on each piece of operation data stored in the data storage module 3 through the operation module 4, and calculating a corresponding pump station total power value. The specific process is that the current values of the motors corresponding to the pumps in the pump station are sequentially compared with the current critical value, if the current value of the motor is greater than the current critical value, the pump code at the position is 1, otherwise, the code is 0, and therefore a string of codes representing the starting and stopping states of the pumps in the pump station are formed; and sequentially calculating the power of the motor corresponding to each pump according to the motor parameter input information and the acquired current value of the motor corresponding to each pump, and then summing to obtain the total power value of the pump station of each piece of operation data.
(e) Historical flow rate interval statistics step S5: dividing intervals for all historical operating data according to flow through an operation module 4, counting to obtain an average value of total power values of the pump stations corresponding to the operating mode codes of the pump stations in each interval, and obtaining an optimal operating mode of the pump station in each historical flow interval and an average value of total power of the pump stations corresponding to the optimal operating mode; the method specifically comprises the following steps:
step (I) of dividing historical flow intervals: uniformly dividing the historical flow interval into a plurality of equal parts according to the sequence of the total flow of the pump stations from small to large to form a plurality of historical flow intervals;
(II) calculating the average value of the total power of the pump stations corresponding to the operation modes of each pump station in the flow interval: grouping historical data according to the operation mode of the pump station in each historical flow interval, and counting the average value of the total power value of the pump station corresponding to each operation mode of the pump station in the historical flow interval;
(III) determining the optimal pump station operation mode and the corresponding total power mean value in each historical flow interval: and in each historical flow interval, taking the pump station operation mode with the minimum total power mean value of the pump station as the optimal pump station operation mode in the historical flow interval.
(f) Current operation mode encoding step S6: carrying out mode coding on the currently acquired data through the operation module 4 to obtain a current pump station operation mode;
(g) step S7: judging whether the current pump station operation mode is in the historical flow interval statistical result or not through the operation module 4, and if not, updating the current operation mode into the historical flow interval statistical result; if yes, the next step (h) is carried out;
(h) step S8: judging whether the current pump station operation mode is the optimal mode of the historical flow interval in the step (e) through an operation module 4, if not, giving an optimal scheduling instruction through a scheduling module 5, calculating the difference between the optimal scheduling instruction and the total power of the pump station in the current pump station operation mode, and giving a power saving power value; if yes, scheduling is not carried out, and the judgment is finished.
The following is a specific engineering example for applying the method of the invention:
referring to fig. 3, a certain pump station is formed by connecting 5 pumps in parallel, each pump is provided with power by 1 motor, and 1 stop valve and 1 gate valve are respectively arranged on the inlet side and the outlet side of each pump. And a flowmeter F and a regulating valve V are installed on the outlet main pipe of the pump station. For the pump # 1, the pump number in fig. 3 is P1, the motor driving the pump P1 is M1, the inlet shutoff valve of the pump P1 is PV1I, the outlet gate valve of the pump P1 is PV1O, and the motors and parts connected to the pumps # 2 to # 5 are numbered in this order. Only pump P1, pump P5, and their corresponding motors and inlet/outlet valves are shown in fig. 3, and pump P2, pump P3, and pump P4 are omitted.
The input parameters of the motors M1 to M5 corresponding to the pumps P1 to P5 are the same, the phase number of the motors is three-phase, the rated voltage is 10kV, and the rated power factor is 0.88. However, the performance curves of the pumps P1 to P5 themselves are different and unknown.
By way of example, 3 pieces of operation data collected in a certain period are shown in table 1, and table 2 shows the pump station operation mode code and total power calculation for each piece of collected data, wherein the motor current critical value is 0.5A. When the current is lower than the current critical value of the motor, the state of the motor is stopped at the moment, otherwise, the state is started. In table 1, taking the 1 st piece of operation data as an example, since the motors corresponding to each pump in the pump station are three-phase motors with rated voltage of 10kV, the total power of the pump station is motor M1 current 1.732 current 10+ motor M2 current 1.732 current 10+ motor M3 current 1.732 current 10+ motor M4 current 1.732 current 10+ motor M5 current 1.732 current 584 kW; wherein, the current values of the motor M4 and the motor M5 are both lower than the motor critical current value of 0.5A, the pump P4 and the pump P5 are judged to be in a stop state, while the current values of the motor M1, the motor M2 and the motor M3 are all larger than the motor critical current value of 0.5A, so that the pump P1, the pump P2 and the pump P3 are judged to be in a start state, and the pump station operation mode of the data is coded as 11100 according to the sequence of the pumps P1 to the pump P5.
TABLE 1 running data collection values of 3 pump stations in a certain time period
TABLE 2 running mode encoding and Total Power calculation of 3 Pump station running data in a certain time period
Serial number
|
Pump station operation mode
|
Pump station Total Power (kW)
|
1
|
11100
|
584
|
2
|
10011
|
654
|
3
|
11110
|
732 |
According to a large amount of historical data, dividing the flow interval of the pump station into 3500-4400 m at equal intervals3The flow rate interval is 15 flow rate intervals in total, and the width of each flow rate interval is 100m3H is used as the reference value. 3600 to 3700m3Taking the flow interval/h as an example, 15 kinds of pump station operation mode codes are obtained through statistics, see table 3, and table 3 also lists the total power mean value statistics results of the corresponding pump stations in each operation mode.
Table 33600 ~ 3700m3Operation mode codes of all pump stations in flow interval/h and total power mean value corresponding to operation mode codes
In table 3, when the operation mode code is 11100, the average value of the power supplied by the pump station is the minimum value of the codes of all the operation modes in the flow interval, so 3600-3700 m3The optimal pump station operation mode in the flow rate interval is 11100 and the average of the total power of the corresponding pumping stations is 621 kW.
At the current moment, the flow of the collected pump station is 3673m3And h, the operation mode of the pump station corresponding to the current acquisition value of each motor is 00111. Using a scheduling module 5 to check that the current flow corresponds to a flow interval of 3600-3700 m3And in the flow interval, the optimal pump station operation mode in the flow interval is 11100, and the average value of the total power of the corresponding pump stations is 621 kW. And judging that the current pump station operation mode is not consistent with the optimal pump station operation mode in the flow interval, so that a scheduling instruction is made to change the pump station operation mode to 00111, and the power saving power brought by the scheduling is calculated to be 670-. That is, the motor M1 and the motor M2 of the pump station need to be stopped, the motor M3, the motor M4 and the motor M5 are all started, and after the start and stop operations of the motors of the pump station, the valve V of the outlet main pipe is properly adjusted to adjust the flow to 3673M3And about/h.
According to the pump station energy-saving scheduling system and the scheduling method thereof, the current value of the collected data is fully utilized and the historical data is deeply mined by combining the motor related parameters input by the user from the parameter input module 1 according to the flow and the motor current data when the pump station runs, so that the defect that the existing pump station energy-saving scheduling technology must depend on a pump performance curve and pipe network information is overcome, meanwhile, long-term technical precipitation and experience accumulation of professional technicians are not required, and the pump station energy-saving scheduling system and the scheduling method thereof have the advantages of simple logic, good universality, stability, reliability, objectivity, accuracy and easiness in programming realization.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.