CN113935601A - Energy-saving scheduling method for parallel water supply pump set considering transition energy efficiency - Google Patents

Energy-saving scheduling method for parallel water supply pump set considering transition energy efficiency Download PDF

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CN113935601A
CN113935601A CN202111150464.7A CN202111150464A CN113935601A CN 113935601 A CN113935601 A CN 113935601A CN 202111150464 A CN202111150464 A CN 202111150464A CN 113935601 A CN113935601 A CN 113935601A
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water supply
transition
pump
total
energy efficiency
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崔宇
杨嘉伟
唐健
田军
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Dongfang Electric Group Research Institute of Science and Technology Co Ltd
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Dongfang Electric Group Research Institute of Science and Technology Co Ltd
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    • G06—COMPUTING; CALCULATING OR COUNTING
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    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
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    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract

The invention relates to the technical field of energy and energy conservation, in particular to an energy-saving scheduling method of a parallel water supply pump set considering transition energy efficiency, which comprises the following steps: step one, accessing historical operation data of a water supply pump set; step two, establishing a water supply pump set energy efficiency performance model considering the transition energy efficiency of the water supply pump; step three, establishing an energy-saving scheduling model of the water supply pump set to complete scheduling of the operation instruction of the pump set and calculation of required energy consumption; the invention respectively establishes a water supply pump energy efficiency performance model considering the transition energy efficiency of a water supply pump for a power frequency pump and a variable frequency pump, provides a water supply pump transition energy efficiency calculation method taking total transition time consumption, total transition energy consumption and total transition water supply amount as objects, avoids complex theoretical calculation in the transition process by time curve integration and establishing a regression model based on an artificial intelligence method, and can realize quantification of required time, required energy consumption and water supply output of each water supply pump in the transition operation state.

Description

Energy-saving scheduling method for parallel water supply pump set considering transition energy efficiency
Technical Field
The invention relates to the technical field of energy and energy conservation, in particular to an energy-saving scheduling method for a parallel water supply pump set considering transition energy efficiency.
Background
The water supply pump is used as power equipment widely applied in the field of industrial production and manufacturing, and the cost of electric power energy consumption is high. At present, most water supply pumps are still scheduled by field personnel according to experience, or constant pressure control is realized by adopting a PID (proportion integration differentiation) -based mode, actual operation working condition points of a following water supply pump set are ignored, and the energy consumption of the pump set is difficult to effectively optimize. The conventional water supply pump set scheduling method is mainly used for reducing the conventional energy consumption of a pump set in a stable operation state so as to reduce the production cost while ensuring the water supply amount and the water supply lift, and the transition energy efficiency of a water supply pump in the operation state switching according to a scheduling instruction is omitted.
The invention discloses a water supply pump group scheduling method based on an ABC-PSO hybrid algorithm, which is published in the prior application number CN111325306A, and is named as an invention patent of an ABC-PSO hybrid algorithm-based water supply pump group scheduling method, according to the performance and the actual running state of an individual in a pump group, reasonable water supply tasks are distributed for all water pumps by combining the exploration capacity of ABC and the solving capacity of the PSO algorithm, the pressure in an official network is balanced, the water supply comfort degree is met, the water supply flow is reduced, and the leakage loss in the pipe network is reduced. The invention aims to improve the solving algorithm for distributing the tasks of the water supply pump set, ensures the solving efficiency and the solving precision, and does not consider the energy efficiency of each water pump when the running state is changed in the solving process.
The prior application publication number is CN110500291A, and the name is 'a multi-pump parallel control method based on genetic algorithm', and the optimal solution of the operation parameters of a water pump system is realized by establishing a water pump lift and power characteristic equation and utilizing the genetic algorithm, so that the flow and pressure required by a water supply system are ensured, and the overall operation energy consumption of the system is reduced. The invention provides a variable frequency pump scheduling method for a multi-pump parallel water supply system, but ignores the condition that a large number of water supply pump systems are formed by connecting a power frequency pump and a variable frequency pump in parallel at present, and does not bring the transition energy efficiency of each water pump into the calculation range.
Disclosure of Invention
The invention provides an energy-saving scheduling method for a parallel water supply pump set considering transition energy efficiency, which provides a calculation method for transition energy efficiency of water supply pumps taking total transition time consumption, total transition energy consumption and total transition water supply amount as objects on the basis of establishing flow-power and flow-lift characteristic curves of all water supply pumps in the parallel water supply pump set, and is closer to practical energy-saving scheduling.
The technical content of the invention is as follows:
an energy-saving scheduling method of a parallel water supply pump set considering transition energy efficiency comprises the following steps:
step one, accessing historical operation data of a water supply pump set;
step two, establishing a water supply pump set energy efficiency performance model considering the transition energy efficiency of the water supply pump;
step three, establishing an energy-saving scheduling model of the water supply pump set to complete scheduling of the operation instruction of the pump set and calculation of required energy consumption;
and the water supply pump set energy efficiency performance model considering the transition energy efficiency of the water supply pump in the step two consists of M power frequency pump energy efficiency models and N frequency conversion pump energy efficiency models which are included in the water supply pump set, wherein M is not less than 0, N is not less than 0, and M + N is more than 0.
Furthermore, historical operating data of the water supply pump set in the first step can be accessed by an industrial production manufacturing SCADA system, an information management system or an industrial Internet system; the water supply pump set historical operation data types include but are not limited to: the system comprises a pump set, a frequency conversion water supply pump, a water supply pump set, a water pump and a water pump.
Further, the specific steps of establishing the power frequency pump energy efficiency model in the second step are as follows:
step (1), for the mth power frequency pump included in the water supply pump group, when M is 0, no power frequency pump exists in the parallel pump group, otherwise, M represents any one of the M power frequency pumps, M is 1,2, …, M, the parameters of the flow-power characteristic curve and the flow-lift characteristic curve polynomial are calculated by using the historical operating data in the step one in a fitting manner, and the polynomial expression is as follows:
pm＝am+bmqm+cmqm 2
Hm＝Hm,x-Sm,xqm 2
in the above formula, pmPower (in kilowatts) of industrial frequency pump, HmRepresents lift, qmRepresents the flow rate (in tons/hour), Hm,xRepresents the virtual total lift S of the mth power frequency pumpm,xThe virtual resistance coefficient, a, of the mth power frequency pumpm,bm,cmFitting parameters of a polynomial of the mth power frequency pump; wherein a, b and c have no specific name or meaning.
Step (2), for the mth power frequency pump included in the water supply pump group, determining the transition energy efficiency of the power frequency pump by integrating the sampling time curve by using the power frequency pump power-time and flow-time information in the step one, wherein the transition energy efficiency comprises the starting energy efficiency and the stopping energy efficiency;
wherein the starting energy efficiency refers to that the power frequency pump is in an off state s'mTransition to a steady operating state s at 0mTotal transition time t of 0m,startTransition Total energy consumption Em,startAnd the total transitional water supply Qm,start(ii) a Shutdown energy efficiency means that the power frequency pump is in a stable operation state s'mTransition to off state s ═ 1mTotal transition time t of 0m,stopTransition Total energy consumption Em,stopAnd the total transitional water supply Qm,stop(ii) a Wherein the total transition time is measured in hours, the total transition energy is measured in kilowatts, and the total transition water supply is measured in tons.
And (3) recording the transition energy efficiency of the mth power frequency pump in the water supply pump group with the same front and back switch states as 0, and enabling the power frequency pump to be switched from the switch state s'mTransition to switching state smTotal transition elapsed time Δ tmTotal transitional energy consumption Δ EmAnd a transitional total water supply Δ QmFunction of can be used respectively
Figure BDA0003286868270000031
The expression of the protein is shown in the specification,
Figure BDA0003286868270000032
represents the total transition time Δ tmAbout front and rear switch state quantity s'mAnd smIs expressed in terms of a function of (a),
Figure BDA0003286868270000033
indicating the total energy consumption Δ E of the transitionmAbout front and rear switch state quantity s'mAnd smIs expressed in terms of a function of (a),
Figure BDA0003286868270000034
indicating the total supply of excess water Δ QmAbout front and rear switch state quantity s'mAnd smThe function expression of (1) is specifically:
Figure BDA0003286868270000035
Figure BDA0003286868270000036
Figure BDA0003286868270000037
further, the specific steps of establishing the energy efficiency model of the variable frequency pump in the second step are as follows:
step (1), when N is 0, no variable frequency pump exists in the parallel pump group, otherwise, N represents any one of the N variable frequency pumps, N is 1,2, …, N, the parameters of the flow-power characteristic curve and the flow-lift characteristic curve polynomial are calculated by using the historical operating data in the step one, and the polynomial expression is as follows:
pn＝anλn 3+bnλn 2qn+cnλnqn 2
Hn＝Hn,xλn 2-Sn,xqn 2
in the above formula, pnRepresenting the power (in kilowatt) and H of the variable-frequency pumpnRepresents lift, qnRepresents the flow rate (in tons/hour), Hn,xIs the virtual total lift, S, of the variable frequency pumpn,xIs the virtual resistance coefficient, lambda, of the variable frequency pumpnIs the ratio of the actual rotating speed of the variable frequency pump to the rated rotating speed, namely the actual speed regulating ratio, lambdaminIs the minimum speed regulating ratio command of the variable frequency pump, the speed regulating ratio lambdamin≤λn≤1，an,bn,cnThe nth variable frequency pump is at the rotating speed ratio lambdanFitting parameters of the polynomial of (a);
step (2), for the nth variable frequency pump included in the water supply pump group, determining the transition energy efficiency of the variable frequency pump by utilizing the actual speed ratio-time curve, speed ratio instruction-time curve, power-time curve and flow-time curve of the variable frequency pump in the step one, wherein the transition energy efficiency comprises start-up energy efficiency, stop energy efficiency and speed regulation energy efficiency;
wherein, the starting energy efficiency refers to that the variable frequency pump is in an off state lambda'n＝0,H′nThe transition is carried out between 0 and the minimum speed ratio, and the target stable operation lift is HnState of (b)n＝λmin,Hn>0 total transition time, total transition energy and total transition water supply; the shutdown energy efficiency means that the variable frequency pump is in H from the minimum speed regulation ratio and the stable operation liftnState of λ'n＝λmin,H′n>0 to off state λn＝0,Hn(ii) total transition time consumption, total transition energy consumption and total transition water supply; the speed regulation energy efficiency means that the variable frequency pump is lambda 'from a previous speed regulation ratio instruction'nAnd the stable delivery lift is row H'nIs transitioned to the next speed ratio command as lambdanAnd the target stable operation lift is HnTotal transition time consumption, total transition energy consumption and transition water supply amount, lambda'n,λn≥λmin,H′n,Hn>0; the total transition time is measured in hours, the total transition energy is measured in kilowatts, and the total transition water supply is measured in tons;
and (3) for the nth variable frequency pump included in the water supply pump group, based on the transitional energy efficiency data in the step (2), commanding the previous speed ratio to be lambda'nThe latter speed ratio command lambdanFront stable operation lift H'SAnd target steady operation lift HSAs input, the total transition time Δ tmTotal transitional energy consumption Δ EmAnd a transitional total water supply Δ QmRespectively establishing a transition total time consumption regression model for output
Figure BDA0003286868270000041
Transition total energy consumption regression model
Figure BDA0003286868270000042
And transition total water supply regression model
Figure BDA0003286868270000043
The construction method of the regression model comprises but is not limited to a support vector machine, a decision regression tree and an artificial neural network;
and (4) for the nth variable frequency pump in the water supply pump group, dividing the transition energy efficiency data in the step (2) into a training set and a test set according to proportion, adding theoretical data of which the transition energy efficiency is 0 and the theoretical data have the same front and rear speed regulation ratio and the same working lift to the training set, and finishing a speed regulation total time consumption regression model
Figure BDA0003286868270000044
Speed regulation total power consumption regression model
Figure BDA0003286868270000045
Regression model for total water supply amount of sum speed regulation
Figure BDA0003286868270000046
Training and testing of three models. Wherein, the division ratio of the training set and the test set is usually 8:2 or 7: 3.
And (5) for the nth variable frequency pump included in the water supply pump group, the variable frequency pump is instructed to be lambda 'by the speed regulation ratio'nAnd working lift H'nState of (2) to a speed ratio command of λnAnd the target stably runs and becomes HnTotal time Δ t of transition of the state of (1)mTotal transitional energy consumption Δ EmAnd a transitional total water supply Δ QmCan be respectively calculated by regression models
Figure BDA0003286868270000047
Expressed as:
Figure BDA0003286868270000048
Figure BDA0003286868270000049
Figure BDA00032868682700000410
furthermore, the scheduled appointed effective time of the parallel water supply pump set in the third step is the hour integer point, the scheduled instruction time interval is one hour, and the scheduled instruction content is the switching state s of each power frequency pump in the water supply pump set in the hourmAnd the on-off state s of each variable frequency pump in the hournAnd speed ratio lambdanThe operational combination parameters of (a); wherein when the power frequency pump or the variable frequency pump is in the on state, smOr snAt 1, at shutdown time smOr snIs 0, and the on-off state and the speed regulation ratio of the variable frequency pump meet the speed regulation ratio constraint:
Figure BDA0003286868270000051
further, the dispatching goal of the parallel water supply pump group in the third step is to meet the goal that the water supply quantity is QS(ton) and target steady working head HSUnder the water supply requirement ofThe total power consumption of the water supply pump set is reduced.
Further, the third step comprises the following specific steps:
step (1) according to the target stable working lift H of the water supply pump in the basic hourSAnd establishing water supply pump set lift constraint according to the parallel connection:
Figure BDA0003286868270000052
Figure BDA0003286868270000053
step (2), according to the switching state s 'of each power frequency pump in the water supply pump group in the last hour'mAnd the power consumption E of the power frequency pump under the scheduling instruction of the current hourmKilowatt-hour and water supply Qm(ton) can be expressed as:
Figure BDA0003286868270000054
Figure BDA0003286868270000055
in the above formula, pmRepresenting stable operation s of power frequency pumpm1 and a head of HSPower of time qmRepresenting stable operation s of power frequency pumpm1 and a head of HSThe flow and numerical value relation of the time can be determined by polynomial expression of a flow-power curve and a flow-head curve of the power frequency pump in the step two;
step (3), according to the switching state s 'of each variable frequency pump in the water supply pump group in the last hour'nAnd speed ratio λ'nAnd the power consumption E of the variable frequency pump under the scheduling instruction of the hournKilowatt-hour and water supply Qn(ton) can be expressed as:
Figure BDA0003286868270000056
Figure BDA0003286868270000057
in the above formula, pnThe representative variable frequency pump has a speed ratio of lambdanThe lift is HSPower of time qnRepresenting variable frequency pump at speed regulation ratio of lambdanThe lift is HSThe flow and numerical value relation of the time can be determined by a flow-power curve and a flow-head curve polynomial expression of the variable frequency pump in the step two;
step (4) according to the target water supply quantity Q of the water supply pump in the hourSEstablishing a water supply amount constraint of a water supply pump set by using water supply amount expressions of the water pumps in the step (2) and the step (3):
Figure BDA0003286868270000058
and (5) establishing an objective function for minimizing the energy consumption of the water supply pump set by using the power consumption expressions of the water pumps in the step (2) and the step (3) according to the energy-saving objective:
Figure BDA0003286868270000061
step (6) establishing a heuristic algorithm solving model, substituting the objective function and the speed regulation ratio constraint in the step (5), the lift constraint in the step (1) and the water supply quantity constraint in the step (4) into the heuristic algorithm to switch on and off states s of each power frequency pump in the current hourmAnd the on-off state s of each variable frequency pump in the current hournAnd speed ratio lambdanCarrying out iterative solution; wherein, the construction method of the heuristic algorithm comprises but is not limited to genetic algorithm, annealing algorithm and particle swarm algorithm;
step (7) is to solve the problem that the opening and closing state s of each power frequency pump which can meet the water supply delivery head and the water supply quantity of the water supply pump set and has the minimum pump set energy consumption in the hour is metm,optAnd the on-off state s of each variable frequency pump in the current hourn,optAnd speed ratio lambdan,optThe operation combination parameter of the pump group is taken as a scheduling instruction, and the minimum pump group energy consumption J is outputoptAnd finishing the operation instruction scheduling and the required energy consumption calculation of the water supply pump set.
The invention has the following beneficial effects:
1. the invention respectively establishes a water supply pump energy efficiency performance model considering the transition energy efficiency of a water supply pump for a power frequency pump and a variable frequency pump, provides a water supply pump transition energy efficiency calculation method taking total transition time consumption, total transition energy consumption and total transition water supply amount as objects, avoids complex theoretical calculation in the transition process by time curve integration and establishing a regression model based on an artificial intelligence method, and can realize quantification of required time, required energy consumption and water supply output of each water supply pump in the transition operation state.
2. The invention combines the conventional energy consumption of the water supply pump in the stable operation state with the transitional energy consumption in the transition operation state, provides a more accurate energy consumption calculation method of the water supply pump, establishes the on-off state of each power frequency pump in each hour and the operation parameter scheduling method taking the on-off state and the speed ratio of each variable frequency pump in each hour as objects by utilizing a heuristic algorithm, can ensure the water supply lift and the water supply amount of the water supply pump set, and achieves the energy-saving target of the water supply pump set closer to the practical application occasion.
Drawings
Fig. 1 is a flowchart of an energy-saving scheduling method of a parallel water supply pump group considering transition energy efficiency.
Detailed Description
In order to better understand the technical solutions, the following embodiments will be further described with reference to the drawings, and it should be noted that the technical solutions of the present invention include, but are not limited to, the following embodiments.
Example 1
Referring to fig. 1, an energy-saving scheduling method for a parallel water supply pump set considering transition energy efficiency includes the following steps:
step one, accessing historical operation data of a water supply pump set;
step two, establishing a water supply pump set energy efficiency performance model considering the transition energy efficiency of the water supply pump;
step three, establishing an energy-saving scheduling model of the water supply pump set to complete scheduling of the operation instruction of the pump set and calculation of required energy consumption;
and the water supply pump set energy efficiency performance model considering the transition energy efficiency of the water supply pump in the step two consists of M power frequency pump energy efficiency models and N frequency conversion pump energy efficiency models which are included in the water supply pump set, wherein M is not less than 0, N is not less than 0, and M + N is more than 0.
The invention respectively establishes a water supply pump energy efficiency performance model considering the transition energy efficiency of a water supply pump for a power frequency pump and a variable frequency pump, provides a water supply pump transition energy efficiency calculation method taking total transition time consumption, total transition energy consumption and total transition water supply amount as objects, avoids complex theoretical calculation in the transition process by time curve integration and establishing a regression model based on an artificial intelligence method, and can realize quantification of required time, required energy consumption and water supply output of each water supply pump in the transition operation state.
Example 2
Referring to fig. 1, a parallel water supply pump set energy-saving scheduling method considering transition energy efficiency includes the following steps:
step one, accessing historical operation data of a water supply pump set;
and the historical operation data of the water supply pump set in the step one can be accessed by an industrial production manufacturing SCADA system, an information management system or an industrial Internet system. The water supply pump set operation data types include but are not limited to: the system comprises a pump set, a power frequency water supply pump, a variable frequency water supply pump, a water supply pump set target lift instruction, an hour water supply quantity instruction, a power frequency water supply pump, a speed regulation ratio instruction, a minimum speed regulation ratio instruction, a flow and a lift of the variable frequency water supply pump, wherein the pump set comprises the rotating speed, the flow, the lift and the power of the power frequency water supply pump, and the pump set comprises the actual speed regulation ratio, the speed regulation ratio instruction, the minimum speed regulation ratio instruction, the rotating speed, the flow and the lift of the variable frequency water supply pump.
And step two, establishing a water supply pump set energy efficiency performance model considering the transition energy efficiency of the water supply pump.
And the water supply pump set energy efficiency performance model considering the transition energy efficiency of the water supply pump in the step two consists of M power frequency pump energy efficiency models and N frequency conversion pump energy efficiency models which are included in the water supply pump set, wherein M is not less than 0, N is not less than 0, and M + N is more than 0.
Further, the specific steps of establishing the power frequency pump energy efficiency model in the second step are as follows:
step (1), for the mth power frequency pump included in the water supply pump group, fitting and calculating parameters of a flow-power characteristic curve polynomial and a flow-lift characteristic curve polynomial by utilizing historical operating data in the step one, wherein the polynomial expression is as follows:
pm＝am+bmqm+cmqm 2
Hm＝Hm,x-Sm,xqm 2
in the above formula, pm,Hm,qmRespectively representing the power (kilowatt), the lift and the flow (ton/hour) of the power frequency pump, Hm,x,Sm,xRespectively the virtual total head and the virtual resistance coefficient, a, of the mth power frequency pumpm,bm,cmFitting parameters of a polynomial of the mth power frequency pump;
and (2) for the mth power frequency pump in the water supply pump group, determining the transition energy efficiency of the power frequency pump, including the starting energy efficiency and the stopping energy efficiency, by integrating the sampling time curve by using the power frequency pump power-time and flow-time information in the step one. Wherein the starting energy efficiency refers to that the power frequency pump is in an off state s'mTransition to a steady operating state s at 0mTotal transition time t of 0m,startTransition Total energy consumption Em,startAnd the total transitional water supply Qm,start(ii) a Shutdown energy efficiency means that the power frequency pump is in a stable operation state s'mTransition to off state s ═ 1mTotal transition time t of 0m,stopTransition Total energy consumption Em,stopAnd the total transitional water supply Qm,stop. The total transition time is measured in hours, the total transition energy is measured in kilowatts, and the total transition water supply is measured in tons;
and (3) recording the transition energy efficiency of the mth power frequency pump in the water supply pump group with the same front and back switch states as 0, and enabling the power frequency pump to be switched from the switch state s'mTransition to switching state smTotal transition elapsed time Δ tmTotal transitional energy consumption Δ EmAnd a transitional total water supply Δ QmFunction of can be used respectively
Figure BDA0003286868270000081
Expressed as:
Figure BDA0003286868270000082
Figure BDA0003286868270000083
Figure BDA0003286868270000084
the specific steps of establishing the energy efficiency model of the variable frequency pump in the second step are as follows:
step (1), for the nth variable frequency pump included in the water supply pump group, fitting and calculating parameters of a flow-power characteristic curve polynomial and a flow-lift characteristic curve polynomial by utilizing historical operating data in the step one, wherein the polynomial expression is as follows:
pn＝anλn 3+bnλn 2qn+cnλnqn 2
Hn＝Hn,xλn 2-Sn,xqn 2
in the above formula, pn,Hn,qnRespectively representing the power (kilowatt), the lift and the flow (ton/hour) of the variable frequency pump, Hn,x,Sn,xRespectively the virtual total head and the virtual resistance coefficient, lambda, of the variable frequency pumpnIs the ratio of the actual rotating speed of the variable frequency pump to the rated rotating speed, namely the actual speed regulating ratio, lambdaminIs the minimum speed regulating ratio command of the variable frequency pump, the speed regulating ratio lambdamin≤λn≤1，an,bn,cnThe nth variable frequency pump is at the rotating speed ratio lambdanFitting parameters of the polynomial of (a);
step (2) for the nth variable frequency pump included in the water supply pump group, the variable frequency pump in the step one is utilizedAnd determining the transition energy efficiency of the variable frequency pump, including starting energy efficiency, stopping energy efficiency and speed regulation energy efficiency, by integrating sampling time according to an actual speed regulation ratio-time curve, a speed regulation ratio instruction-time curve, a power-time curve and a flow-time curve. Wherein, the starting energy efficiency refers to that the variable frequency pump is in an off state (lambda'n＝0,H′n0) to the minimum ratio and a target steady operation lift of HnState (λ)n＝λmin,Hn>0) Total transition time, total transition energy consumption and total transition water supply; the shutdown energy efficiency means that the variable frequency pump is in H from the minimum speed regulation ratio and the stable operation liftnState of (λ'n＝λmin,H′n>0) Transition to the off state (λ)n＝0,Hn0), total transition time consumption, total transition energy consumption and total transition water supply; the speed regulation energy efficiency means that the variable frequency pump is lambda 'from a previous speed regulation ratio instruction'nAnd the stable delivery lift is row H'nIs transitioned to the next speed ratio command as lambdanAnd the target stable operation lift is HnTotal transition time consumption, total transition energy consumption and transition water supply amount, lambda'n,λn≥λmin,H′n,Hn>0. The total transition time is measured in hours, the total transition energy is measured in kilowatts, and the total transition water supply is measured in tons;
and (3) for the nth variable frequency pump included in the water supply pump group, based on the transitional energy efficiency data in the step (2), commanding the previous speed ratio to be lambda'nThe latter speed ratio command lambdanFront stable operation lift H'SAnd target steady operation lift HSAs input, the total transition time Δ tmTotal transitional energy consumption Δ EmAnd a transitional total water supply Δ QmRespectively establishing a transition total time consumption regression model for output
Figure BDA0003286868270000091
Transition total energy consumption regression model
Figure BDA0003286868270000092
And transition total water supply regression model
Figure BDA0003286868270000093
The construction method of the regression model comprises but is not limited to a support vector machine, a decision regression tree and an artificial neural network;
and (4) for the nth variable frequency pump in the water supply pump group, dividing the transition energy efficiency data in the step (2) into a training set and a test set according to proportion, adding theoretical data of which the transition energy efficiency is 0 and the theoretical data have the same front and rear speed regulation ratio and the same working lift to the training set, and finishing a speed regulation total time consumption regression model
Figure BDA0003286868270000094
Speed regulation total power consumption regression model
Figure BDA0003286868270000095
Regression model for total water supply amount of sum speed regulation
Figure BDA0003286868270000096
Training and testing of three models. Wherein, the division ratio of the training set and the test set is usually 8:2 or 7: 3.
And (5) for the nth variable frequency pump included in the water supply pump group, the variable frequency pump is instructed to be lambda 'by the speed regulation ratio'nAnd working lift H'nState of (2) to a speed ratio command of λnAnd the target stably runs and becomes HnTotal time Δ t of transition of the state of (1)mTotal transitional energy consumption Δ EmAnd a transitional total water supply Δ QmCan be respectively calculated by regression models
Figure BDA0003286868270000097
Expressed as:
Figure BDA0003286868270000098
Figure BDA0003286868270000099
Figure BDA0003286868270000101
step three, establishing an energy-saving scheduling model of the water supply pump set to complete scheduling of the operation instruction of the pump set and calculation of required energy consumption; in the third step, the scheduled appointed effective moment of the parallel water supply pump set is an hour integer, the scheduling instruction time interval is one hour, and the scheduling instruction content is the switching state s of each power frequency pump in the water supply pump set in the hourmAnd the on-off state s of each variable frequency pump in the hournAnd speed ratio lambdanThe operational combination parameters of (1). Wherein when the power frequency pump or the variable frequency pump is in the on state, smOr snIs 1, is 0 when the engine is stopped, and the on-off state and the speed ratio of the variable frequency pump meet the speed ratio constraint:
Figure BDA0003286868270000102
the dispatching goal of the parallel water supply pump group in the third step is to meet the goal that the water supply quantity is QS(ton) and target steady working head HSThe total power consumption of the water supply pump set is reduced under the water supply requirement.
The third step comprises the following specific steps:
step (1) according to the target stable working lift H of the water supply pump in the basic hourSAnd establishing water supply pump set lift constraint according to the parallel connection:
Figure BDA0003286868270000103
Figure BDA0003286868270000104
step (2), according to the switching state s 'of each power frequency pump in the water supply pump group in the last hour'mAnd the power consumption E of the power frequency pump under the scheduling instruction of the current hourmKilowatt-hour and water supply Qm(ton) can be expressed as:
Figure BDA0003286868270000105
Figure BDA0003286868270000106
in the above formula, pm,qmRespectively representing stable operation s of power frequency pumpm1 and a head of HSThe time power and the flow and the numerical value relation can be determined by the flow-power curve and the flow-head curve polynomial expression of the power frequency pump in the step two;
step (3), according to the switching state s 'of each variable frequency pump in the water supply pump group in the last hour'nAnd speed ratio λ'nAnd the power consumption E of the variable frequency pump under the scheduling instruction of the hournKilowatt-hour and water supply Qn(ton) can be expressed as:
Figure BDA0003286868270000107
Figure BDA0003286868270000108
in the above formula, pn,qnRespectively represents the variable frequency pump at the speed regulation ratio of lambdanThe lift is HSThe time power and the flow and the numerical relation can be determined by a flow-power curve and a flow-head curve polynomial expression of the variable frequency pump in the step two;
step (4) according to the target water supply quantity Q of the water supply pump in the hourSEstablishing a water supply amount constraint of a water supply pump set by using water supply amount expressions of the water pumps in the step (2) and the step (3):
Figure BDA0003286868270000111
and (5) establishing an objective function for minimizing the energy consumption of the water supply pump set by using the power consumption expressions of the water pumps in the step (2) and the step (3) according to the energy-saving objective:
Figure BDA0003286868270000112
step (6) establishing a heuristic algorithm solving model, substituting the objective function and the speed regulation ratio constraint in the step (5), the lift constraint in the step (1) and the water supply quantity constraint in the step (4) into the heuristic algorithm to switch on and off states s of each power frequency pump in the current hourmAnd the on-off state s of each variable frequency pump in the current hournAnd speed ratio lambdanAnd carrying out iterative solution. Wherein, the construction method of the heuristic algorithm comprises but is not limited to genetic algorithm, annealing algorithm and particle swarm algorithm;
step (7) is to solve the problem that the opening and closing state s of each power frequency pump which can meet the water supply delivery head and the water supply quantity of the water supply pump set and has the minimum pump set energy consumption in the hour is metm,optAnd the on-off state s of each variable frequency pump in the current hourn,optAnd speed ratio lambdan,optThe operation combination parameter of the pump group is taken as a scheduling instruction, and the minimum pump group energy consumption J is outputoptAnd finishing the operation instruction scheduling and the required energy consumption calculation of the water supply pump set.

Claims (10)

1. A parallel water supply pump set energy-saving scheduling method considering transition energy efficiency is characterized in that: the method comprises the following steps:
step one, accessing historical operation data of a water supply pump set;
step two, establishing a water supply pump set energy efficiency performance model considering the transition energy efficiency of the water supply pump;
step three, establishing an energy-saving scheduling model of the water supply pump set to complete scheduling of the operation instruction of the pump set and calculation of required energy consumption;
and the water supply pump set energy efficiency performance model considering the transition energy efficiency of the water supply pump in the step two consists of M power frequency pump energy efficiency models and N frequency conversion pump energy efficiency models which are included in the water supply pump set, wherein M is not less than 0, N is not less than 0, and M + N is more than 0.
2. The energy-saving scheduling method of the parallel water supply pump group considering the transition energy efficiency according to claim 1, characterized in that: the historical operation data of the water supply pump set in the first step is accessed through an industrial production manufacturing SCADA system, an information management system or an industrial Internet system; the historical operation data types of the water supply pump group comprise: the system comprises a pump set, a frequency conversion water supply pump, a water supply pump set, a water pump and a water pump.
3. The energy-saving scheduling method of the parallel water supply pump group considering the transition energy efficiency according to claim 1, characterized in that: the specific steps of establishing the power frequency pump energy efficiency model in the second step are as follows:
step (1), for the mth power frequency pump included in the water supply pump group, M represents any one of the M power frequency pumps, M is 1, 2.
pm＝am+bmqm+cmqm 2
Hm＝Hm，x-Sm，xqm 2
In the above formula, pmPower (in kilowatts) of industrial frequency pump, HmRepresents lift, qmRepresents the flow rate (in tons/hour), Hm，xRepresents the virtual total lift S of the mth power frequency pumpm，xThe virtual resistance coefficient, a, of the mth power frequency pumpm，bm，cmFitting parameters of a polynomial of the mth power frequency pump;
step (2), for the mth power frequency pump included in the water supply pump group, determining the transition energy efficiency of the power frequency pump by integrating the sampling time curve by using the power frequency pump power time and flow time information in the step one, wherein the transition energy efficiency comprises start-up energy efficiency and stop energy efficiency;
wherein the starting energy efficiency refers to that the power frequency pump is in an off state s'mTransition to a steady operating state s at 0mTotal transition time t of 0m，startTransition Total energy consumption Em，startAnd the total transitional water supply Qm，start(ii) a Shutdown energy efficiency means that the power frequency pump is in a stable operation state s'mTransition to off state s ═ 1mTotal transition time t of 0m，stopTransition Total energy consumption Em，stopAnd the total transitional water supply Qm，stop；
And (3) recording the transition energy efficiency of the mth power frequency pump in the water supply pump group with the same front and back switch states as 0, and enabling the power frequency pump to be switched from the switch state s'mTransition to switching state smTotal transition elapsed time Δ tmTotal transitional energy consumption Δ EmAnd a transitional total water supply Δ QmFunction of can be used respectively
Figure FDA0003286868260000021
The expression of the protein is shown in the specification,
Figure FDA0003286868260000022
represents the total transition time Δ tmAbout front and rear switch state quantity s'mAnd smIs expressed in terms of a function of (a),
Figure FDA0003286868260000023
indicating the total energy consumption Δ E of the transitionmAbout front and rear switch state quantity s'mAnd smIs expressed in terms of a function of (a),
Figure FDA0003286868260000024
indicating the total supply of excess water Δ QmAbout front and rear switch state quantity s'mAnd smThe function expression of (1) is specifically:
Figure FDA0003286868260000025
Figure FDA0003286868260000026
Figure FDA0003286868260000027
4. the energy-saving scheduling method of the parallel water supply pump group considering the transition energy efficiency according to claim 1, characterized in that: the specific steps of establishing the energy efficiency model of the variable frequency pump in the second step are as follows:
step (1), for the nth variable frequency pump included in the water supply pump group, wherein N represents any one of the N variable frequency pumps, and N is 1, 2.
pn＝anλn 3+bnλn 2qn+cnλnqn 2
Hn＝Hn，xλn 2-Sn，xqn 2
In the above formula, pnPower, H, representing variable frequency pumpsnRepresents lift, qnRepresents the flow rate, Hn，xIs the virtual total lift, S, of the variable frequency pumpn，xIs the virtual resistance coefficient, lambda, of the variable frequency pumpnIs the ratio of the actual rotating speed of the variable frequency pump to the rated rotating speed, namely the actual speed regulating ratio, lambdaminIs the minimum speed regulating ratio command of the variable frequency pump, the speed regulating ratio lambdamin≤λn≤1，an，bn，cnThe nth variable frequency pump is at the rotating speed ratio lambdanFitting parameters of the polynomial of (a);
step (2), for the nth variable frequency pump included in the water supply pump group, determining the transition energy efficiency of the variable frequency pump by utilizing the actual speed ratio time curve, the speed ratio instruction time curve, the power time curve and the flow time curve of the variable frequency pump in the step one, wherein the transition energy efficiency comprises the starting energy efficiency, the stopping energy efficiency and the speed regulation energy efficiency;
wherein, the starting energy efficiency refers to that the variable frequency pump is in an off state lambda'n＝0，H′nThe transition is carried out between 0 and the minimum speed ratio, and the target stable operation lift is HnState of (b)n＝λmin，HnThe total transition time is more than 0, the total transition energy consumption and the total transition water supply amount; the shutdown energy efficiency means that the variable frequency pump is in H from the minimum speed regulation ratio and the stable operation liftnState of λ'n＝λmin，H′nTransition to OFF state λ >0n＝0，Hn(ii) total transition time consumption, total transition energy consumption and total transition water supply; the speed regulation energy efficiency means that the variable frequency pump is lambda 'from a previous speed regulation ratio instruction'nAnd the stable delivery lift is row H'nIs transitioned to the next speed ratio command as lambdanAnd the target stable operation lift is HnTotal transition time consumption, total transition energy consumption and transition water supply amount, lambda'n，λn≥λmin，H′n，HnIs greater than 0; the total transition time is measured in hours, the total transition energy is measured in kilowatts, and the total transition water supply is measured in tons;
and (3) for the nth variable frequency pump included in the water supply pump group, based on the transitional energy efficiency data in the step (2), commanding the previous speed ratio to be lambda'nThe latter speed ratio command lambdanFront stable operation lift H'SAnd target steady operation lift HSAs input, the total transition time Δ tmTotal transitional energy consumption Δ EmAnd a transitional total water supply Δ QmRespectively establishing a transition total time consumption regression model for output
Figure FDA0003286868260000031
Transition total energy consumption regression model
Figure FDA0003286868260000032
And transition total water supply regression model
Figure FDA0003286868260000033
And (4) for the nth variable frequency pump in the water supply pump group, dividing the transition energy efficiency data in the step (2) into a training set and a test set according to proportion, adding theoretical data of which the transition energy efficiency is 0 and the theoretical data have the same front and rear speed regulation ratio and the same working lift to the training set, and finishing a speed regulation total time consumption regression model
Figure FDA0003286868260000034
Speed regulation total power consumption regression model
Figure FDA0003286868260000035
Positive speed regulation total water supply quantity regression model
Figure FDA0003286868260000036
Training and testing three models;
and (5) for the nth variable frequency pump included in the water supply pump group, the variable frequency pump is instructed to be lambda 'by the speed regulation ratio'nAnd working lift H'nState of (2) to a speed ratio command of λnAnd the target stably runs and becomes HnTotal time Δ t of transition of the state of (1)mTotal transitional energy consumption Δ EmAnd a transitional total water supply Δ QmCan be respectively calculated by regression models
Figure FDA0003286868260000037
Expressed as:
Figure FDA0003286868260000038
Figure FDA0003286868260000039
Figure FDA00032868682600000310
5. the energy-saving scheduling method of the parallel water supply pump group considering the transition energy efficiency according to claim 1, characterized in that: in the third step, the scheduled appointed effective moment of the parallel water supply pump set is an hour integer, the scheduling instruction time interval is one hour, and the scheduling instruction content is the switching state s of each power frequency pump in the water supply pump set in the hourmAnd the on-off state s of each variable frequency pump in the hournAnd speed ratio lambdanThe operational combination parameters of (a); wherein when the power frequency pump or the variable frequency pump is in the on state, smOr snAt 1, at shutdown time smOr snIs 0, and the on-off state and the speed regulation ratio of the variable frequency pump meet the speed regulation ratio constraint:
Figure FDA00032868682600000311
6. the energy-saving scheduling method of the parallel water supply pump group considering the transition energy efficiency according to claim 1, characterized in that: the dispatching aim of the parallel water supply pump group in the third step is to meet the aim that the water supply quantity is QSAnd target stable working head HSThe total power consumption of the water supply pump set is reduced under the water supply requirement.
7. The energy-saving scheduling method of the parallel water supply pump group considering the transition energy efficiency as claimed in claim 5, wherein: the third step comprises the following specific steps:
step (1) according to the target stable working lift H of the water supply pump in the basic hourSAnd establishing water supply pump set lift constraint according to the parallel connection:
Figure FDA0003286868260000041
step (2), according to the switching state s 'of each power frequency pump in the water supply pump group in the last hour'mThe power frequency pump is in the current hourPower consumption E under scheduling instructionmAnd water supply amount QmCan be expressed as:
Figure FDA0003286868260000042
Figure FDA0003286868260000043
in the above formula, pmRepresenting stable operation s of power frequency pumpm1 and a head of HSPower of time qmRepresenting stable operation s of power frequency pumpm1 and a head of HSThe time flow and the numerical relationship can be determined by a flow power curve and a flow head curve polynomial expression of the power frequency pump in the step two;
step (3), according to the switching state s 'of each variable frequency pump in the water supply pump group in the last hour'nAnd speed ratio λ'nAnd the power consumption E of the variable frequency pump under the scheduling instruction of the hournAnd water supply amount QnCan be expressed as:
Figure FDA0003286868260000044
Figure FDA0003286868260000045
in the above formula, pn’Representing variable frequency pump at speed regulation ratio of lambdanThe lift is HSPower of time qnRepresenting variable frequency pump at speed regulation ratio of lambdanThe lift is HSThe flow and numerical relationship can be determined by the flow power curve and the flow head curve polynomial expression of the variable frequency pump in the step two;
step (4) according to the target water supply quantity Q of the water supply pump in the hourSEstablishing a water supply pump group by using the water supply expression of each water pump in the step (2) and the step (3)Water supply amount restraint:
Figure FDA0003286868260000046
and (5) establishing an objective function for minimizing the energy consumption of the water supply pump set by using the power consumption expressions of the water pumps in the step (2) and the step (3) according to the energy-saving objective:
Figure FDA0003286868260000051
step (6) establishing a heuristic algorithm solving model, substituting the objective function and the speed regulation ratio constraint in the step (5), the lift constraint in the step (1) and the water supply quantity constraint in the step (4) into the heuristic algorithm to switch on and off states s of each power frequency pump in the current hourmAnd the on-off state s of each variable frequency pump in the current hournAnd speed ratio lambdanCarrying out iterative solution;
step (7) is to solve the problem that the opening and closing state s of each power frequency pump which can meet the water supply delivery head and the water supply quantity of the water supply pump set and has the minimum pump set energy consumption in the hour is metm，optAnd the on-off state s of each variable frequency pump in the current hourn，optAnd speed ratio lambdan，optThe operation combination parameter of the pump group is taken as a scheduling instruction, and the minimum pump group energy consumption J is outputoptAnd finishing the operation instruction scheduling and the required energy consumption calculation of the water supply pump set.
8. The energy-saving scheduling method of the parallel water supply pump group considering the transition energy efficiency as claimed in claim 4, wherein: the construction method of the regression model comprises a support vector machine, a decision regression tree or an artificial neural network.
9. The energy-saving scheduling method of the parallel water supply pump group considering the transition energy efficiency as claimed in claim 4, wherein: the division ratio of the training set and the test set is 8:2 or 7: 3.
10. The energy-saving scheduling method of the parallel water supply pump group considering the transition energy efficiency according to claim 7, characterized in that: the construction method of the heuristic algorithm comprises a genetic algorithm, an annealing algorithm and a particle swarm algorithm.
CN202111150464.7A 2021-09-29 2021-09-29 Energy-saving scheduling method for parallel water supply pump set considering transition energy efficiency Pending CN113935601A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115859808A (en) * 2022-12-01 2023-03-28 南栖仙策(南京)科技有限公司 Pump set work prediction method and device, electronic equipment and storage medium
CN116466591A (en) * 2023-06-13 2023-07-21 埃睿迪信息技术（北京）有限公司 Method and device for determining water supply strategy of water supply system

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115859808A (en) * 2022-12-01 2023-03-28 南栖仙策(南京)科技有限公司 Pump set work prediction method and device, electronic equipment and storage medium
CN116466591A (en) * 2023-06-13 2023-07-21 埃睿迪信息技术（北京）有限公司 Method and device for determining water supply strategy of water supply system
CN116466591B (en) * 2023-06-13 2023-08-29 埃睿迪信息技术（北京）有限公司 Method and device for determining water supply strategy of water supply system

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