CN1317676C - Optimum operation controller of wide area equipment - Google Patents
Optimum operation controller of wide area equipment Download PDFInfo
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- CN1317676C CN1317676C CNB200410006834XA CN200410006834A CN1317676C CN 1317676 C CN1317676 C CN 1317676C CN B200410006834X A CNB200410006834X A CN B200410006834XA CN 200410006834 A CN200410006834 A CN 200410006834A CN 1317676 C CN1317676 C CN 1317676C
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- A—HUMAN NECESSITIES
- A62—LIFE-SAVING; FIRE-FIGHTING
- A62B—DEVICES, APPARATUS OR METHODS FOR LIFE-SAVING
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- A—HUMAN NECESSITIES
- A62—LIFE-SAVING; FIRE-FIGHTING
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P80/00—Climate change mitigation technologies for sector-wide applications
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
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Abstract
To realize stable and efficient operational control of water optimizing with high speed to minimize the timewise fluctuation of a water supply amount and the power consumption of a pump. A group of variables comprising an operational flow rate per unit time of the day and the time to set the flow rate based on a predicted demand amount and a process measured value is made a gene, and an optimum operation plan is computed according to genetic algorithm handled as such a string of genes of variable length that the group of variables exists only when the operational flow rate and the time to set the flow rate are changed.
Description
Technical field
The present invention relates to the optimum operation control device of wide-area facility, utilize this device can be when with a plurality of facilities being the operation of the fluid wide-area facility of supplying with object, for example wide area supply equipment, realize optimization, stable and water running is efficiently controlled, thereby the total filtration yield, water treatment plant that reduce the water withdrawal of former water and water treatment plant to greatest extent are to the pushing quantity of distribution reservoir over time, and greatly reduce the electric power consumption of pump.
Background technology
Under the situation that the decision-making of adopting computing machine to carry out the supply equipment operation is supported, prediction calculates best operational plan as the demand in the water distribution zone of object according to this predicted value.Owing to the handled facility quantity of wide area supply equipment that with a plurality of facilities is object increases, its operation method is also complicated, so operational plan can be increased optimized operation time greatly, thereby may cause the obstacle in the practicality.
In the automatic control of supply equipment, under the operational plan operation of making according to computing machine, the situation of opertaing device, stably produce water purification and stably be supplied to the user just to become primary task incessantly.Simultaneously, consider, on equipment operation, also require efficient operation and opertaing device from aspects such as operating cost and m of e expenses.Therefore, can work out out and satisfy the best that above-mentioned viewpoint requires or the equipment operation plan that can substitute its approaching the best just becomes the very important point.
In recent years, along with complicated, extensiveization of equipment, be difficult in practical going up and calculate aforesaid the best or approaching best equipment operation plan in the feasible time rapidly.Particularly in the wide-area facility, facilities such as the water treatment plant of water supply company and water distribution factory disperse, and monitor the flow process of the wide area supervision of these facilities simultaneously simultaneously and also fix.In this case, the equipment operation plan of computing promptly every day difficulty all the more just.
Therefore to address the above problem, just must develop that both to have made be that complicated or large-scale equipment is also can computing best at a high speed or near best operational plan, realize efficient, as to stablize the wide-area facility that carries out equipment operation optimum operation control device.
Under the situation that the decision-making of adopting computing machine to carry out the supply equipment operation is supported, prediction calculates best operational plan (for example, with reference to open flat 8-128078 communique of communique of Japan's special permission and the open communique 2001-55763 communique of Japan's special permission) as the demand in the water distribution zone of object according to this predicted value.Owing to the handled facility quantity of wide area water supply and sewage equipment that with a plurality of facilities is object increases, its operation method is also complicated, therefore operational plan is increased optimized operation time greatly, can cause the obstacle in the practicality.
Along with integration, the wide area supervisionization of management, operation facility, must develop and to realize efficient, stable supply equipment operation, and make the equipment operation control device with practical value of best equipment operational plan at a high speed.
Summary of the invention
The present invention considers the problems referred to above and finishes, purpose provides the optimum operation control device of wide-area facility, it can be when with a plurality of facilities being the wide-area facility operation of object, realize quick optimization, stable and water running is efficiently controlled, thereby the total filtration yield, water treatment plant that reduce the water withdrawal of former water and water treatment plant to greatest extent are to the pushing quantity of distribution reservoir over time, and can also greatly reduce the electric power consumption of pump.
For reaching above-mentioned purpose, provide following invention.
The invention of the 1st aspect is to being the optimum operation control device that optimally-controlled wide-area facility is carried out in the operation of the wide-area facility of object with a plurality of facilities.It is characterized in that, dispose the data input part of necessary setting value of input and condition; The actual database part of using of data such as the instrumentation value of storing process data and various pre-set parameters; With reference to the weather information of being imported by the aforementioned data input part and the actual demand value in actual past of storing with database part, the demand forecast portion of the demand of the time per unit after predicting this operation same day; According to the forecast demand amount of this resulting time per unit of demand forecast portion and the instrumentation value of process, with the set of variables formed by the operation flow of the time per unit of this day and this pairing moment of flow as gene, according to only when change takes place with the pairing moment of this flow in the operation flow, as the genetic algorithm of operating as the gene order of the variable length that has this set of variables, computing is wide-area facility best of object or near the operational plan portion of best operational plan with a plurality of facilities; The wide-area facility that output is obtained by operational plan portion moves the data output section of operation result and other desired datas.
The invention of the 2nd aspect is in the optimum operation control device of the wide-area facility of above-mentioned the 1st invention, dispose when the generation initial stage is individual in aforementioned operational plan portion, judge that can the initial stage individuality that carries out feasible solution (feasible solution) that satisfy restriction condition generate in certain period, if in the time of can not generating, the initial stage of the generation of termination initial stage individuality individual generation timing portion.
The invention of the 3rd aspect is in the optimum operation control device of the wide-area facility of above-mentioned the 2nd invention, dispose will be stored in the aforementioned actual past with database part equipment operation as individual generation of initial stage, and offer the actual of aforementioned operational plan portion with individual generating unit of initial stage.
The invention of the 4th aspect is in the optimum operation control device of the wide-area facility of above-mentioned the 2nd invention, dispose the equipment operation scheme that will set by artificial data input device as individual generation of initial stage, offer the individual generating unit of trial method initial stage of aforementioned operational plan portion.
The invention of the 5th aspect is in the optimum operation control device of wide-area facility of above-mentioned the 2nd invention, disposes the polyoptimal portion that the optimization computing is carried out in the equipment operation plan of gained in aforementioned operational plan portion with other optimization methods again.
The invention of the 6th aspect is in the optimum operation control device of the wide-area facility of above-mentioned the 2nd invention, when aforementioned operational plan portion can not obtain the operational plan of best equipment, operational plan portion was relaxed in the restriction of dispose the condition of relaxing the restriction in aforementioned operational plan portion, carrying out the optimization computing again.
The invention of the 7th aspect is in the optimum operation control device of the wide-area facility of above-mentioned the 2nd invention, dispose the equipment operation plan that obtains in aforementioned operational plan portion when being concavity from the time, evaluation of estimate and the restrictive condition used by optimization relatively, and with the recessed smoothing portion of this operational plan smoothing.
The invention of the 8th aspect is in the optimum operation control device of the wide-area facility of above-mentioned the 2nd invention, dispose the equipment operation plan that obtains in aforementioned operational plan portion when being convex from the time, evaluation of estimate and the restrictive condition used by optimization relatively, and with the protruding smoothing portion of this operational plan smoothing.
The invention of the 9th aspect is in the optimum operation control device of the wide-area facility of above-mentioned the 2nd invention, disposing the equipment operation plan that obtains in aforementioned operational plan portion is when rising scalariform from the time, by relatively being used for optimized evaluation of estimate and restrictive condition, and with the rank smoothing portion that rises of this operational plan smoothing.
The invention of the 10th aspect is in the optimum operation control device of the wide-area facility of above-mentioned the 2nd invention, dispose the equipment operation plan that obtains in aforementioned operational plan portion when being the depression of order shape from the time, by relatively being used for optimized evaluation of estimate and restrictive condition, and with the depression of order smoothing portion of this operational plan smoothing.
The invention of the 11st aspect is in the optimum operation control device of the wide-area facility of above-mentioned the 2nd invention, in equipment, there is local controlled adjuster, when comprising the out of contior machine of equipment operation control device, dispose the local control of simulation and its result is imported aforementioned operational plan portion, make the part control simulation game portion of the operational plan computing of equipment.
The invention of the 12nd aspect is in the optimum operation control device of the wide-area facility of above-mentioned the 2nd invention, at local required flow to postponing on free with equipment, when slave unit is supplied with, dispose and consider above-mentioned temporal delay, to the time delay correction portion of the requirement weighed on the operational plan correction slave unit that obtains by aforementioned operational plan portion.
The invention of the 13rd aspect is in the optimum operation control device of the wide-area facility of above-mentioned the 2nd invention, aforementioned wide-area facility is the wide area supply equipment, dispose be used for regularly monitoring each downstream installation the water level plan whether in predetermined scope, under situation about satisfying, continue to monitor; Under ungratified situation, at first only this facility is replaned, consequently:, then move wide-area facility according to replaning the result if satisfy the restrictive condition of other facility; If do not satisfy the restrictive condition of other facility, repeat one by one also to comprise the facility that is positioned at this facility upstream replan replan detection unit.
The invention of the 14th aspect is at the optimum operation control device of the wide-area facility of above-mentioned the 1st invention, it is characterized in that, disposes and carries out emulation can determine whether desirable operation setting value satisfies the emulation portion of the restrictive condition on the equipment operation.
Description of drawings
Fig. 1 is the frame line chart of an embodiment of optimum operation control device of the present invention.
Fig. 2 is the system diagram of a configuration example of wide area supply equipment that is applicable to the optimum operation control device of Fig. 1.
Fig. 3 is the key diagram of the example of variable length gene order.
Fig. 4 is the figure of the image that is subjected to discharge shown in the explanation variable length gene order.
Fig. 5 is the key diagram of the cross method of the heredity algorithm of processing variable length gene order.
Fig. 6 is the key diagram of the mutation method of the heredity algorithm of processing variable length gene order.
Fig. 7 for explanation concavity, convex, rise scalariform, and the figure of the plan of depression of order shape.
Fig. 8 contains the figure of the flow process example of local control for explanation.
Fig. 9 postpones the key diagram of correction portion for description time.
Embodiment
Below, embodiments of the present invention are described with reference to the accompanying drawings.
Fig. 1 is the frame line chart of an embodiment of optimum operation control device of the present invention, and Fig. 2 is the system diagram of a configuration example of wide area supply equipment that is applicable to the optimum operation control device of Fig. 1.
The formation of＜embodiment 〉
In wide area supply equipment shown in Figure 2, be object with distribution reservoir 41～48 as a plurality of (8 places are arranged among the figure) of wide area water facilities, from shared water treatment plant 40 to these distribution reservoir 41～48 water distributions.Water treatment plant 40 usefulness water intaking pumps etc. are got former water from rivers and creeks etc., through the ponding well, inject compound in mixing pit, carry out purified treatment through earning means such as aggegation, precipitation and filtrations.After the gained water purification carries out sterilization processing with chlorine, through water purifying tank, utilize conveying pump via each distribution reservoir respectively to each water distributing area water distribution.Certainly, sometimes also can be from water treatment plant 40 directly to water distributions such as average family zone water distribution.In wide area water facilities shown in Figure 2, roughly be divided into 2 groups, i.e. the 1st assembly pond 41～44 and the 2nd assembly pond 45～48.Among the figure, the node that connects each pipeline is represented with symbol 51, also inserts valve 52 at each pipeline or distribution reservoir series connection when needing, and also can as required the flowmeter 53 (for example electromagnetic flowmeter) of the flow of measuring the water that flows through each pipeline be set throughout.
Optimum operation control device shown in Figure 1 is the device that wide area supply equipment shown in Figure 2 is carried out optimum operation control, and it has data input part 2, data output section 4, actual in DB portion (the actual database part of using) 6, demand forecast portion 8, operational plan portion 10, initial stage individual generation timing portion 12, actual in individual generating unit 14 of initial stage, individual generating unit 16 of trial method initial stage, polyoptimal portion 18, operational plan portion 20 is relaxed in restriction, recessed smoothing portion 22, protruding smoothing portion 24, rise rank smoothing portion 26, depression of order smoothing portion 28, the local simulation game portion 30 that controls, time delay correction portion 32, replan detection unit 34 and emulation portion 36.
Initial stage is individual to be generated timing portion 12 and is used at the generation initial stage judging that can the initial stage individuality that carries out feasible solution that satisfy restriction condition generate when individual in certain period, in the time of can not generating, is used for the individual timer that generates of termination initial stage.Actual is means that the equipment operation that will be stored in the past of actual usefulness DB portion 6 is used as the initial stage individuality with individual generating unit 14 of initial stage.Individual generating unit 16 of trial method initial stage is to be used for the equipment operation scheme that will be set by the artificial data input means means as the initial stage individuality.The equipment operation plan of 18 pairs of gained of polyoptimal portion is carried out the optimization computing with other optimization method again.Restriction is relaxed operational plan portion 20 when failing to obtain the best equipment operational plan, and the condition of relaxing the restriction is carried out the optimization computing.
Recessed smoothing portion 22 be in 10 computings of operational plan portion and operational plan when being concavity, by relatively being used for optimized evaluation of estimate and restrictive condition, and with this operational plan smoothing.Equally, protruding smoothing portion 24 is when operational plan is convex, by relatively being used for optimized evaluation of estimate and restrictive condition with this operational plan smoothing.Rise rank smoothing portion 26 and be when rising scalariform in operational plan, by relatively being used for optimized evaluation of estimate and restrictive condition with this operational plan smoothing.Depression of order smoothing portion 28 is when operational plan is the depression of order shape, by relatively being used for optimized evaluation of estimate and restrictive condition, with this operational plan smoothing.
There is local controlled adjuster in local control simulation game portion 30 in equipment, when comprising the out of contior machine of equipment operation control device, the local control of simulation is imported operational plan portion 10 with its result, the operational plan of arithmetic facility.32 pairs of time delay correction portions and equipment are gone up the local required flow that postpones if having time, when slave unit is supplied with, consider temporal delay, revise the requirement of weighing on the slave unit.
Replan the in proper order regular in accordance with regulations supervision of detection unit 34 and whether satisfy the restrictive condition of each facility (water distribution factory 41～48), under situation about satisfying, continue to monitor, under ungratified situation, at first only this facility is replaned, consequently:, then move wide-area facility according to replaning the result if satisfy the restrictive condition of other facility, if do not satisfy the restrictive condition of other facility, repeat also to comprise replaning of the facility that is positioned at this facility upstream one by one.
Present embodiment is the optimum operation control device that utilizes above component part to form, in service at the wide-area facility that with a plurality of facilities is object, realize quick optimization, stable and water running is efficiently controlled, thereby reduce total filtration yield, water treatment plant of the water withdrawal of former water and water treatment plant pushing quantity time to time change to greatest extent, and greatly reduce the electric power consumption of pump to distribution reservoir 41 1 48.
The effect of＜embodiment 〉
The basic function of optimum operation control device shown in Figure 1 at first, is described.
The needing forecasting method of the water distribution of demand forecast portion 8, consider to adopt statistics method and least square method, GMDH various authentication methods such as (method of grouping of Grouping Method Of Data Handling data processing), utilize neural network method etc., and be not limited to which kind of specific method in the present embodiment, adopt which kind of method can.Demand forecast portion 8 and operational plan portion 10 are above once a day regularly to be started.At first, before fixed the quarter, manually or automatically import the required data of demand forecast by data input part 2.The data here refer to the weather forecast of this day that for example will carry out demand forecast and the weather information and the actual of previously obtd weather information of the highest temperature or lowest temperature forecast used value, and the actual value of using of demand etc.The result of the demand forecast of demand forecast portion 8 will be every certain unit interval output, and the moment output to be separated by 1 day can certainly be carried out the demand forecast more than 2 days as required at least.
Predict the outcome according to demand and the current instrumentation value of equipment (if water purification send the water plan, then be the water level of distribution reservoir and the flow of conveying pump, operation platform number, water distribution quantity etc., if the plan of the total filtration yield in the water treatment plant, it then is the water purifying tank water level, and the clarification time of each filtering ponds, filtering ponds purify the water yield, blowoff basin water level etc.), the conveying pump discharge characteristic, distribution reservoir 41～48 and water purifying tank 40, the capacity of blowoff basin parameters such as (operating water level upper lower limit values), best computing is done in 10 pairs of water running plans of operational plan portion, make it not cause the operating water level bound that departs from water purifying tank 40 and distribution reservoir 41～48 and can sufficient water distribution quantity predicted value, the rapid variation of total filtration yield and pushing quantity.At this moment, also can consider to reduce operating cost as far as possible.In this case, if desired, but it is also conceivable that platform number at the time period in power consumption rush hour restriction process pump.
Like this, employing is a gene with the operation water yield of the time per unit on the same day and the group of the variable of this pairing time of flow, only when change takes place with the pairing time of this flow in the operation water yield, as with regard to as if having the gene order of the same variable length of this set of variables and the operational plan portion 10 of the genetic algorithm of operating every the unit interval, the operational plan of the best of the moment output device machine of being separated by at least 1 day.
Now, imagination, is supplied with the flow process of water purification and is described to each water distributing area via distribution reservoir 41～48 from water purifying tank 40 through conveying pump in the wide area supply equipment of Fig. 2.Certainly, also utilize under the spontaneous current and send water to distribution reservoir 41～48, from the situation of distribution reservoir to the water distributing area water distribution from water purifying tank 40.Though send water with conveying pump here, use the distribution pump water distribution, but owing to consider if set any aperture setting value of the flow control valve of the flow control valve be subjected to the pond side or water purifying tank outlet side discretely, then the discrete value of these valve opening setting values is equivalent to the delivery flow of 1 pump, therefore can not lose ubiquity.
To sending the thinking methods of water process, by will be from water treatment plant 40 to the pushing quantity of each water distribution factory 41～48 as the water distribution demand, and other water yield of purifying waste water and using in factory of filtering ponds is also included within the water distribution demand, water purifying tank is used as distribution reservoir, filtering ponds are used as conveying pump, and will be by the restrictive condition that stops to regard as conveying pump that purifies time-controlled filtering ponds, can directly apply to total filtering traffic plan substantially, so the optimization of the total filtering traffic plan in the water treatment plant can be carried out equally also.Certainly also can be with from sending water with same thinking methods to the whole optimizations of total filtering traffic plan.
At K sometime from the pushing quantity Q of water purifying tank to distribution reservoir
p(k) can control by conveying pump that starts and the aperture that is installed on the valve on the pipe arrangement.Its target flow is set in discrete piecewise.Be referred to as the flow stage.For example, no matter be valve, or pump, generally speaking the physics maximal value with pushing quantity is decided to be 100m
3/ h is divided into 5 sections with it, then the flow stage be 0,20,40,60,80,100m
3/ h, these are represented by the pushing quantity that send the water plan to obtain.
Now, if only use the fixing constant speed pumps water of n platform revolution (rotational speed), the platform number of constant speed pump and corresponding one by one then according to the discrete value of the pushing quantity that send the water plan to obtain.For convenience of description, below this kind of imagination situation describes.
With the operation water yield of time per unit and the set of variables of this pairing time of water yield is gene, only when the operation water yield changed with the pairing time of this flow, genetic algorithm as operating as the gene order of the variable length that has this set of variables shows gene as shown in Figure 3.
Fig. 3 represents the be subjected to water yield of each facility shown in Figure 2 (distribution reservoir 41～48) in each moment., successively distribution reservoir is numbered now, be referred to as facility number since 1 when if distribution reservoir has N (in the examples shown 8).The water yield planned value that is subjected to of facility i is represented with the group in (flow stage constantly).Should organize as gene.Therefore, the time is taken from the round values from the plan zero hour to the termination moment, and the flow stage is got real number value according to the dispersive target value of predetermined amount of flow.According to the present invention, be with this genome not exist for all times that should plan, only have genome in the moment that changed by the water yield.Thus, be subjected under the certain situation of the water yield, 1 genome is just enough, can save storage volume, finally also will focus on the subject area of exploring optimum solution.Like this, in the present invention, the length of genome (sequence) is variable, is referred to as the variable length gene order.As shown in Figure 4 be subjected to the water plan to be assumed to be the plan of facility number 1 time, the variable length gene order can show as the facility 1 of Fig. 3.
Now, the summation that is subjected to the water amount of plan of each distribution reservoir 41～48 for from water treatment plant 40 send the water amount of plan, therefore with the following formulism of being considered of the optimization problem of sending the water plan.The method of formulism is according to what kind of being sent the water program optimization and different, therefore be not unique, but it is formulistic in any case, if the formulism that makes up optimization problem that is called shown below, by the group with the variable of the operation water yield of time per unit and this pairing time of flow is gene, only when change takes place with the pairing time of this flow in the operation water yield, as the genetic algorithm of operating, can reach optimization or near optimization as the gene order of the variable length that has this set of variables.
Objective function)
Minimize f=W
1* f
1+ W
2* f
2+ W
3* f
3(1)
In the formula
=0, y
i(k)≤CHG_P
iThe time ... (4)
Annotate:
F: objective function
x
i(k): the discrete pushing quantity stage determined of facility i when moment k
(if only being that constant speed pump and pump operation platform number are with value)
y
i(k)=| x
i(k)-x
i(k-1) |: facility i is at the discrete pushing quantity change number of stages of determining (if only be the constant speed pump, then with pump operation change platform number value together) of moment k
h
i(k): facility i is at the distribution reservoir water level of moment k
Facility i is in the target water level of moment k
CHG_P
i: the discrete pushing quantity change maximum order hop count of determining of facility i time per unit (, then changing the platform number with value) with the pump maximum if only be the constant speed pump
T: the final moment, w
Ji(k): facility i the optimization weight (weight) of moment k, j=1～4,
W
m: the required optimization weight of wide area optimization, m=1～3,
Q
i(k): the discrete pushing quantity [m of pushing quantity in the stage that determines of facility i
3/ h]
If (only be the constant speed pump, then with the pushing quantity [m of k platform pump
3/ h] with value)
Restrictive condition)
Annotate:
h i(k): distribution reservoir water level lower limit [m] h of facility i when moment k
i(k): the distribution reservoir water level higher limit [m] of facility i when moment k
Q
i(k): the pushing quantity [m in the discrete pushing quantity stage of determining of facility i
3/ h]
(if only be the constant speed pump, then the pushing quantity with k platform pump is worth together)
q
Di(k): the demand forecast value [m of facility i when moment k
3/ h], A
i: the distribution reservoir floorage [m of facility i
2]
The corresponding relation of the gene that is subjected to water yield plan (flow stage constantly) of expression facility i and the variable of above-mentioned objective function and restrictive condition is:
(flow stage constantly)=(K, X
i(k))
This problem is commonly referred to as the combination optimization problem, as shown in Figure 3, utilization is a gene with the operation water yield of time per unit and the group of the variable of this pairing time of flow, only when the operation water yield changed with the pairing time of this flow, as the genetic algorithm of operating, can obtain the best rapidly or near best operational plan as the gene order of the variable length that has this set of variables.Its order of operation is as follows.
Zero genetic algorithm
＜step 1〉generation of initial stage groups of individuals
The individuality that produces the individual Random assignment gene of predefined number n respectively and generate, under the situation that does not satisfy restrictive condition, the Random assignment gene regenerates again.
＜step 2〉evaluation of each individuality
Calculate each individual fitness f and average fitness.
＜step 3〉eliminate and handle
Exist under the situation of the individual and individuality that predefined number of individuals is above that does not satisfy restrictive condition, eliminate the individuality of (eliminating) fitness poor (fitness is little), up to the number of this definition.
＜step 4〉the propagation processing
Be less than under the situation of predefined number of individuals the individuality of propagation (duplicating) fitness the best at number of individuals.
＜step 5〉cross processing
Match at random, pairing is only carried out according to the ratio (crossing-over rate) with respect to all number of individuals, all selects locus (place of gene) at random for every pair, carry out a bit intersecting (from the mutual exchange base in place of selected gene because of placement (set)).
＜step 6〉the sudden change processing
Only, change the gene of the locus of (decision at random) arbitrarily of each individuality according to select individuality at random with respect to the ratio (mutation rate) of all number of individuals.
＜step 7〉the termination determination processing
Repetition＜step 2 〉-＜step 6 〉, and＜step 2〉in, the average fitness of the average fitness of this algebraically (generation) and several algebraically of front relatively, if below certain value ε (value of setting arbitrarily) or more than certain algebraic number (higher limit of multiplicity), stop algorithm.
Also have, if＜step 1 〉-＜step 7〉in the predefined time, do not finish the forced termination algorithm.
Individuality refers to 1 gene order shown in Figure 3.
Here, in＜step 5〉described [intersection] once illustrate.As shown in Figure 5, select 2 facilities number identical ([2] in illustrated example) gene order at random.Select this genomic place with random number again, promptly the place of certain number of (constantly, flow stage) exchanges.In Fig. 5 example, between the 3rd and the 4th, exchange.At this moment, the result of exchange generates the new gene order (among Fig. 5, the later flow stage of gene 11 point that is positioned at the below relatively is 5,10 genes that have the flow stage 6 later on) that contains the later gene of synchronization sometimes.In this case, it is preferential to be attached to the gene of back.That is, therefore the gene of the synchronization that occurs previously can not considered because the gene of back is preferential.(in Fig. 5, from 10 o'clock to 11 o'clock the flow stage be after 6,11 o'clock the flow stage be 5).Operate this process according to the ratio (crossing-over rate) that all relatively number of individuals are determined.This process is called intersection.
＜step 6〉described sudden change is meant: as shown in Figure 6, when having selected certain individuality (parent) at random, change new gene (15,4) genomic appending suddenly randomly at last.In all genes, according to ratio (mutation rate) the operation sudden change of determining.In the genome because of intersection and sudden change increase, under constantly overlapping situation, the genome that appends later is preferential.
Genetic algorithm＜step 1 in, the generation initial stage is when individual, can not be under the individual situation that generates the individuality that generates the restrictive condition that satisfies formula (6) in the time that timing portion 12 sets by the initial stage, stop to utilize random number to generate the initial stage individuality, individual generating unit 16 of trial method initial stage is attempted (rule of thumb exploring) generation initial stage individuality in the following order.
With the initial moment in the object time band of working out plan, for example if work out from the plan of the same day 0 up to next day 0 o'clock 24 hours (1 day), be initial value then, consider all to be subjected in 1 day the situation of water according to this initial value with 0:00 on the same day discharge that is subjected to constantly.If in the time, the water level of distribution reservoir satisfies the requirement of formula (6) at whole object, then with it as the initial stage individuality.In case know to carve at a time and do not satisfy formula (6), then change is subjected to discharge to satisfy formula (6), and later time band adopts flow plan after changing.Change this operation if having time up to satisfying formula (6) in institute.Also have, if can work out out the initial stage individuality that satisfies formula (6), both having made is 1, even it is also passable to generate the individuality of regulation number n like this.
As in＜step 1〉shown in, not only can generate the initial stage individuality at random, can also be converted to gene order with value from the actual of past, and only get predefined number as the initial stage individuality.
In the optimum operation control device of wide-area facility, can utilize data input part 2 people to be setting initial stage individuality.In above-mentioned example,, get it as the initial stage individuality though be converted to gene order with value from reality, here, by the artificial input of users such as operator, can make operational plan effectively near optimum solution, this operational plan is calculated by the genetic algorithm as the operation of the gene order of variable length.
In the operational plan that is obtained by the genetic algorithm as the operation of the gene order of variable length is not optimized, but under the situation near the near optimum solution of optimum solution, its initial value input as other optimization method can be calculated optimum solution.The optimization gimmick for example has molecule bound method and dynamic programming etc., and there is no particular limitation.
Reach under the situation that the operational plan that operational plan portion 10 calculates can not be finished in the time of predesignating, do not satisfy under the situation of bound scope of state of predetermined equipment, relax operational plan portion 20 by restriction, the bound scope of the state of predetermined equipment is removed from restrictive condition, the bound scope that replaces physics is set at new restrictive condition, the condition of can relaxing the restriction thus, computing operational plan is again made compensation comprising the bias to original bound scope of slave unit state in the objective function of the optimization computing of operational plan.
The computing that solves this optimization problem is in the time of predesignating, under the situation about can not finish in for example waiting in 1 minute, and do not satisfy predetermined equipment state the bound scope (for example, the operating water level upper lower limit value of distribution reservoir) under the situation, the bound scope of the state by from restrictive condition, relaxing predetermined equipment, the optimum operation of computing more as follows plan is so that compensation is made in the bias to original bound scope of slave unit state in the objective function of the optimization computing of operational plan.
Several 3
Restrictive condition) removes
h i(k)≤h
i(k)≤h
i(k) in addition, will
h Pi(k)≤h
i(k)≤h
Pi(k) be decided to be new restrictive condition.
Annotate: h
Pi(k),
h Pi(k) represent the bound scope of physics respectively,
h Pi(k)≤
h Pi(k), h
Pi(k)≤h
i(k).At the objective function f shown in the formula (2)
1Last addition type (9) equally changes suc as formula (8).
Several 4
Annotate: W
Ji(K): facility i is at optimization weight j, the j=5,6 of moment k.
Genetic algorithm＜step 1 in obtain best or near certain time band of best operational plan, be the concavity plan shown in the left side of Fig. 7 (a) (being the situation of convex curve variation down) at certain time band, the perhaps convex plan shown in the left side of this figure (b) (being the situation that convex curves changes) at certain time band, the scalariform plan that rises shown in the left side of this figure (c), under the situation of the depression of order shape plan shown in the left side of this figure (d), if at this moment be used for optimized evaluation of estimate and restrictive condition (objective function and fitness) not during variation, then can utilize smoothing portion that smoothing is carried out in each plan and handle, make its by among Fig. 7 (a)～(d) from the left figure state variation of figure to the right.
The smoothing portion that is used to finish above-mentioned task is respectively recessed smoothing 22 (with reference to figure 7 (a)) of portion, protruding smoothing 24 (with reference to figure 7 (b)) of portion, rises rank smoothing portion 26 (with reference to figure 7 (c)) and depression of order smoothing portion 28 (with reference to figure 7 (d)).These smoothing portions are in order to make being gene by the operation water yield of the time per unit of this day and the group of the variable of this pairing time of flow, genetic algorithm as the operation that just likes the gene order that has the same variable length of this set of variables when only in the pairing time of the water yield and this flow of moving change taking place more effectively plays a role, the tentative operation of introducing can mainly effectively improve the y in the formula of being contained in (2)
i(k) item.Particular importance a bit be exactly, only be used for not variation of optimized evaluation of estimate and restrictive condition, even and smoothing when also satisfying restrictive condition, carry out smoothing.Under the situation in addition, do not carry out smoothing.
In equipment, there is local controlled adjuster, when comprising the out of contior machine of equipment operation control device institute, can have local control simulation game portion 30, the equipment operation control device is simulated local control, and its result imported operational plan portion 10, the operational plan of arithmetic facility.
For example, as shown in Figure 8, arrive between the water distributing area 53 at water purifying tank 50, dispose the 1st group of conveying pump group 61, the 1st distribution reservoir 51, the 2nd group of conveying pump group 62, the 2nd distribution reservoir 52 and distribution pump group 63, to from water purifying tank 50 to the 1st distribution reservoir 51 send the water plan to carry out optimization the time, the water distribution demand forecast value q of the water distributing area 53 of the demand when being equivalent to K constantly
Di(k), stopping of having done now start from the 1st distribution reservoir 51 send to the 2nd distribution reservoir 52 water conveying pump control and send the water plan irrelevant, and relevant with part control.
In this case, if carry out the demand forecast value that demand forecast can obtain the 2nd distribution reservoir 52, but and do not know to be equivalent to the amount (from the pushing quantity of the 1st distribution reservoir 51) of the demand forecast of the 1st distribution reservoir 51 to the 2nd distribution reservoir 52.Therefore, do various considerations, now, the water level h of the 2nd distribution reservoir 52 only is described only the control program of the 2nd group of conveying pump group 62
2(k) relatively that definitely defined and water level h the 2nd distribution reservoir 52
2(k) if relation of Xiang Guan upper limit extreme value Hmax and lower limit extreme value Hmin is h
2(k) Hmax then shuts down whole the 2nd group of conveying pump group 62, if h
2(k)＜Hmin then starts whole the 2nd group of conveying pump group 62.K is 1 minute cycle, or cycle that is 5 minutes etc. can be set suitable computation period.The water level h of the 2nd distribution reservoir 52 is arranged again
2(k) calculating can be adopted formula (7).
By above-mentioned way, just can know when start or stop the 2nd group of conveying pump group 62, if the therefore temporal plan segmentation of the optimum operation plan of being calculated by every operational plan portion 10 (1 hour 24 little time-divisions or 30 minutes unit of unit graded in 24 hours 00 units) simulation, the result who obtains, and be entered into operational plan portion 10, can obtain the best or send the water plan by the 1st group of conveying pump group 61 near best.
For example, during moment 1:34, be 100m
3When the 2nd group of conveying pump 62 of/h runs to 3:00, be 100 * (60-34)/60=43.3m with 1: 1
3/ h, 2: 1 is 100m
3/ h, input operational plan portion 10.If the time at needs is carried out this computing, just know the pushing quantity to the 2nd distribution reservoir 52 of the demand forecast value that to be equivalent to the 1st distribution reservoir 51 be benchmark, thereby can calculate the best or send the water plan near best.
Like this, even there is local controlled adjuster, comprise the equipment operation control device under the situation of out of contior machine, control by simulation in device is local, and its result imported operational plan portion 10, can calculate the best or send the water plan near best.
The place of the delay on free with equipment, as it is the same at a distance of number km with distribution reservoir to be provided with the place of conveying pump, when slave unit send water, if required pushing quantity is not considered this temporal delay, the problem that can control.For example, water purification arrives under 10 minutes the situation of distribution reservoir needs, if be not 100m with pushing quantity from moment 11:00 from the place that conveying pump is set
3/ h is increased to 150m
3/ h, then the water level of distribution reservoir can be lower than lower limit, therefore must set this amount before 10 minutes, increases pushing quantity.
Therefore, shown in Fig. 9 (a), when unit carried out demand forecast with 10 minutes, need 10 minutes if water purification arrives distribution reservoir from the place that conveying pump is set, then shown in Fig. 9 (b), only will transport in advance 10 minutes, promptly the amount in 1 stage is as the demand forecast value.Fig. 9 (a) expression demand forecast value originally, the state of the amount in 1 stage has only been transported in Fig. 9 (b) expression in advance, has promptly shown the state that has moved 1 stage to the left on figure.If know that water purification arrives distribution reservoir from the place that conveying pump is set and needs 20 minutes, then can send 20 minutes earlier, i.e. 2 stages.According to the plan segmentation of the optimum operation plan of being calculated in operational plan portion 10 (1 hour 24 little time-divisions or 30 minutes unit of unit graded in 24 hours 00 units), the process requirements predicted value is used.For example,, and consider aforesaid time delay, ask the demand forecast value q between 10:00～11:00 by 1 hour unit
Di(11) time, at first therefore as shown in the table because original supposition is carried out demand forecast by 10 minutes units, the demand forecast value of 10 minutes units when obtaining 1 day non-time delay.
Table 1
| Time delay | 10: 00～ 10:10 | 10: 10～ 10:20 | 10: 20～ 10:30 | 10: 30～ 10:40 | 10: 40～ 10:50 | 10: 50～ 11:00 | 11: 00～ 11:10 | … |
| Do not have | 110 | 120 | 130 | 120 | 130 | 130 | 120 | … |
| Have | 120 | 130 | 120 | 130 | 130 | 120 | … | … |
If directly based on this, ask the demand forecast value of 10: 1,1 hour degree, then be 110+120+130+120+130+130=610.
Now, because 10 minutes delay is arranged, if send 10 minutes earlier, i.e. in 1 stage, then the demand forecast value of 10: 1,1 hour degree is 120+130+120+130+130+120=620.With this process operation 1 day, this result is imported operational plan portion 10.
By the above-mentioned practice, the place that postpones on free with equipment when even slave unit is supplied with by required flow, also can be worked out out the time of having considered and go up the operational plan that postpones.
Whether the operational plan that is compiled into by the optimum operation control device is in certain scope by the water level plan of regular each facility of supervision, continues to monitor when satisfying, and at first only this facility is replaned when not satisfying.Its result is: if satisfy the restrictive condition of other facility, move wide-area facility according to replaning the result, if do not satisfy the restrictive condition of other facility, also comprise replaning of the facility that is positioned at this facility upstream one by one repeatedly.Can prevent the plan and the actual frequently correction plan of deviation of a factor facility thus with value.
Also have, in the optimum operation control device, has simulation part 36, it is very useful when the operator moves by desirable operation setting value research equipment, carry out the simulation of water revenue and expenditure at this simulation part 36, so that can confirm whether to satisfy the restrictive condition (for example, the operation bound water level in pond) on the equipment operation as the formula (6).Its process is, at random sets the water yield that is subjected to of each distribution reservoir by data input part 2, according to the demand forecast value and the distribution reservoir current water level of water distribution quantity, simulates later SEA LEVEL VARIATION.Thus, can confirm whether to be in the operation bound water level range of setting, can how to carry out later operation for operator's research like this provides active data.Have, according to the optimum operation plan that operational plan portion 10 calculates, the research of being done when the operator is revised also can be set the operation result of operational plan portion 10 again.
＜other embodiment 〉
Above-described optimum operation control is to be the explanation that controlling object is done with the supply equipment, but the present invention is not limited to supply equipment, certainly also can be used for the smoothing of the rain-water drainage amount that the rain-water drainage pump operation of the influx of family's draining of entering from the downward water treatment plant of pump that is dispersed in wide region etc. and rainwater storage facility discharged, can also be used for being used to supply with the heat resource equipment of hot and cold water or steam, and consider the optimum operation of the energy efficiency of heat power equipment at region changes in temperature equipment, automatically control by the equipment deterioration of a plurality of generatings generating plant of forming that waits and according to the best equipment of electricity needs.This situation, for example following water treatment plant, pump factory, the lock (perhaps valve) of the water treatment plant of Gong Shuiing, distribution reservoir, the corresponding sewer of valve difference also have, and the water treatment plant of water supply and valve be the heat resource equipment and the valve of corresponding region changes in temperature equipment respectively.Have, the flow of water supply comprises the following water yield in the corresponding water down such as quantity of steam, quantity of steam, hot water amount, the cool water quantity in the changes in temperature gas of region, the electric weight in the electric power again.
The effect of invention
Just as described above, adopt the present invention that the optimum operation control device of wide-area facility can be provided, utilize this device can be in service at the wide-area facility take a plurality of facilities as object, realize rapid optimization, stable and efficiently fluid operation is controlled, extremely reducing the water withdrawal of former water and total filtration yield of water treatment plant, the pushing quantity change in time from the water treatment plant to the distribution reservoir, and extremely reduce the electric power consumption of pump.
Claims (14)
1, the optimum operation control device of wide-area facility, it is to being that optimally-controlled device is carried out in the operation of the wide-area facility of object with a plurality of facilities, it is characterized in that, disposes the data input part of necessary setting value of input and condition; The actual database part of using of the instrumentation value of storing process data and various parameter setting Value Datas; With reference to the weather information of being imported by the aforementioned data input part and the actual demand value in actual past of storing with database part, the demand forecast portion of the demand of the time per unit after predicting this operation same day; According to the forecast demand amount of this resulting time per unit of demand forecast portion and the instrumentation value of process, with the set of variables formed by the operation flow of the time per unit of this day and this pairing moment of flow as gene, according to only when change takes place with the pairing moment of this flow in the operation flow, as the genetic algorithm of operating as the gene order of the variable length that has this set of variables, computing is wide-area facility best of object or near the operational plan portion of best operational plan with a plurality of facilities; The wide-area facility that output is obtained by operational plan portion moves the data output section of operation result and other desired datas.
2, the optimum operation control device of wide-area facility according to claim 1, it is characterized in that, dispose when the generation initial stage is individual in aforementioned operational plan portion, judge that can the initial stage individuality that carries out feasible solution that satisfy restriction condition generate in certain period, if in the time of can not generating, individual generation timing of the individual initial stage that generates at termination initial stage portion.
3, the optimum operation control device of wide-area facility according to claim 2, it is characterized in that, dispose and to be stored in aforementioned actual data with database part, and offer the actual of aforementioned operational plan portion with individual generating unit of initial stage as individual generation of initial stage.
4, the optimum operation control device of wide-area facility according to claim 2, it is characterized in that, dispose the equipment operation scheme that will set by artificial data input means as individual generation of initial stage, offer the individual generating unit of trial method initial stage of aforementioned operational plan portion.
5, the optimum operation control device of wide-area facility according to claim 2 is characterized in that, disposes the polyoptimal portion that the equipment operation plan of gained in aforementioned operational plan portion is carried out the optimization computing with other optimization method again.
6, the optimum operation control device of wide-area facility according to claim 2, it is characterized in that, when aforementioned operational plan portion can not obtain the operational plan of best equipment, operational plan portion was relaxed in the restriction of dispose the condition of relaxing the restriction in aforementioned operational plan portion, carrying out the optimization computing again.
7, the optimum operation control device of wide-area facility according to claim 2, it is characterized in that, dispose the equipment operation plan that obtains in aforementioned operational plan portion from being the longitudinal axis with operation platform number, being that the curve of transverse axis is when being concavity with the moment, evaluation of estimate and the restrictive condition used by optimization relatively, and with the recessed smoothing portion of this operational plan smoothing.
8, the optimum operation control device of wide-area facility according to claim 2, it is characterized in that, dispose the equipment operation plan that obtains in aforementioned operational plan portion from being the longitudinal axis with operation platform number, being that the curve of transverse axis is when being convex with the moment, evaluation of estimate and the restrictive condition used by optimization relatively, and with the protruding smoothing portion of this operational plan smoothing.
9, the optimum operation control device of wide-area facility according to claim 2, it is characterized in that, dispose the equipment operation plan that obtains in aforementioned operational plan portion from being the longitudinal axis with operation platform number, being that the curve of transverse axis is when rising scalariform with the moment, by relatively being used for optimized evaluation of estimate and restrictive condition, and with the rank smoothing portion that rises of this operational plan smoothing.
10, the optimum operation control device of wide-area facility according to claim 2, it is characterized in that, dispose the equipment operation plan that obtains in aforementioned operational plan portion from being the longitudinal axis with operation platform number, being that the curve of transverse axis is when being the depression of order shape with the moment, by relatively being used for optimized evaluation of estimate and restrictive condition, and with the depression of order smoothing portion of this operational plan smoothing.
11, the optimum operation control device of wide-area facility according to claim 2, it is characterized in that, it comprises the local simulation game portion that controls, this partial simulation palnning department simulation is located at the part control of the local controlled adjuster in the equipment, its result is imported aforementioned operational plan portion, computing is carried out in the operational plan of equipment.
12, the optimum operation control device of wide-area facility according to claim 2, it is characterized in that, it has following function time delay correction portion in addition: for be supplied to by equipment and equipment between the free local required flow that postpones, consider above-mentioned temporal delay, the requirement that the angle of slave unit in the operational plan that draws in aforementioned operational plan portion draws is revised.
13, the optimum operation control device of wide-area facility according to claim 2, it is characterized in that aforementioned wide-area facility is the wide area supply equipment, dispose be used for regularly monitoring each downstream installation the water level plan whether in predetermined scope, under situation about satisfying, continue to monitor; Under ungratified situation, at first only this facility is replaned, consequently:, then move wide-area facility according to replaning the result if satisfy the restrictive condition of other facility; If do not satisfy the restrictive condition of other facility, repeat one by one also to comprise the facility that is positioned at this facility upstream replan replan detection unit.
14, the optimum operation control device of wide-area facility according to claim 1 is characterized in that, disposes and carries out emulation can determine whether desirable operation setting value satisfies the emulation portion of the restrictive condition on the equipment operation.
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| JP2003041423A JP4365598B2 (en) | 2003-02-19 | 2003-02-19 | Optimal operation control system for wide area plant |
| JP2003041423 | 2003-02-19 |
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| JP (1) | JP4365598B2 (en) |
| KR (1) | KR20040074626A (en) |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101418787B (en) * | 2007-10-23 | 2012-01-25 | 株式会社东芝 | Rainwater pump control device and rainwater pump control method |
| CN102691333A (en) * | 2011-03-22 | 2012-09-26 | 株式会社日立制作所 | Central waterworks monitoring and controlling device, waterworks monitoring and controlling system, and waterworks monitoring and controlling program |
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| JP4511435B2 (en) * | 2005-09-05 | 2010-07-28 | 三菱電機株式会社 | Water supply operation planning device |
| JP2007257190A (en) * | 2006-03-22 | 2007-10-04 | Toshiba Corp | Total monitoring diagnosis device |
| JP5019197B2 (en) * | 2006-03-31 | 2012-09-05 | 株式会社東芝 | Water distribution information management device |
| JP6327498B2 (en) * | 2013-02-20 | 2018-05-23 | 三菱重工業株式会社 | Solution search device, solution search method and program, schedule generation device, schedule generation method and program, and charging control system |
| JP5701919B2 (en) * | 2013-03-14 | 2015-04-15 | 株式会社東芝 | Reservoir water level setting device, distribution reservoir water level setting method and distribution reservoir water level setting system |
| KR101656433B1 (en) * | 2014-01-28 | 2016-09-22 | 한국농어촌공사 | A water-loop system for allocationing and supplying multy-water source using ICT |
| KR101638553B1 (en) * | 2014-01-28 | 2016-07-20 | 한국농어촌공사 | a operation management technology for controlling pump and press using ICT |
| CN104374060B (en) * | 2014-11-04 | 2017-02-15 | 清华大学 | Water pump system control method based on centerless network |
| CN114035432B (en) * | 2021-11-05 | 2023-09-08 | 扬州大学 | Pump station control method considering start-stop loss based on linear integer-dynamic programming combination algorithm |
| CN116757424B (en) * | 2023-06-21 | 2024-03-12 | 成都同飞科技有限责任公司 | Peak regulation control method and system for water supply network pool |
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| JP2004250961A (en) | 2004-09-09 |
| TWI273156B (en) | 2007-02-11 |
| KR20040074626A (en) | 2004-08-25 |
| TW200419046A (en) | 2004-10-01 |
| CN1540460A (en) | 2004-10-27 |
| JP4365598B2 (en) | 2009-11-18 |
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