CN112199631B - Method, device and equipment for declarative electric quantity associated control of step power station - Google Patents

Method, device and equipment for declarative electric quantity associated control of step power station Download PDF

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CN112199631B
CN112199631B CN202011060519.0A CN202011060519A CN112199631B CN 112199631 B CN112199631 B CN 112199631B CN 202011060519 A CN202011060519 A CN 202011060519A CN 112199631 B CN112199631 B CN 112199631B
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刘双全
王金文
谢蒙飞
黄晏渲
陈清贵
郑浩
刘祥瑞
冯素珍
牟春风
程贤良
和珮珊
张茂林
王帮灿
邢玉辉
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Kunming Electric Power Transaction Center Co ltd
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Abstract

The application provides a method for reporting electric quantity association control of a step power station, and relates to the field of optimal scheduling of hydropower stations. The method comprises the following steps: basic parameter data and interval runoff flow of each step power station are obtained, and a prediction period is set; calculating a limit upper limit value and a limit lower limit value of the warehouse-out flow of each step power station in a prediction period by using basic parameter data; in the prediction period, calculating the reverse sequence calculation upper limit value and the reverse sequence calculation lower limit value of the delivery flow of each cascade power station from the cascade downstream final power station in a reverse sequence; in the prediction period, calculating the upper limit value and the lower limit value of the sequence calculation of the ex-warehouse flow of each cascade power station from the first power station at the upstream of the cascade; and for each cascade power station, obtaining an upper limit value and a lower limit value of the delivery flow according to the delivery flow related data obtained by calculation, and obtaining an upper limit value and a lower limit value of the power generation prediction according to the upper limit value and the lower limit value of the delivery flow and the power generation consumption rate.

Description

Method, device and equipment for declarative electric quantity associated control of step power station
Technical Field
The application belongs to the field of optimal scheduling of hydropower stations, and particularly relates to a method for reporting electric quantity association control of a step power station.
Background
The river basin cascade hydropower station is used as an independent power producer and a power purchasing user to contract before a dispatching period, and the output of the cascade hydropower station is limited by factors such as water supply, storage capacity, installation capacity and the like, and the complex hydraulic and electric coupling relation between the upstream and the downstream of the cascade is also limited, so that the power generation capacity is difficult to evaluate accurately. The large economic loss of the hydropower station can be caused when the actual power generation capacity of the hydropower station is greatly deviated from the contract electric quantity.
The contract electric quantity declaration of the step power station belongs to the problem of long-term optimization scheduling in a hydropower station, and the problem is a typical nonlinear optimization problem with multiple variables, high dimensionality and complex constraint. When solving the problem, linear programming needs to carry out linear processing on constraint conditions, but under complex and changeable environments, such as step upstream and downstream water volume matching and the like, the model constraint and the solution of the linear programming have a plurality of uncertainty factors, and the method has little significance for accurately evaluating the power generation capacity of the step reservoir in each period. The dynamic programming is difficult to meet the requirement of no post-effectiveness, and the intelligent algorithm has the problems of long calculation time, easy sinking of local optimum, non-unique optimum solution and the like.
The existing theoretical research on contract electric quantity decomposition at home and abroad is mainly concentrated in the thermal power field, and the decomposition declaration of the water-electricity contract electric quantity is less in consideration, and most of the theoretical research does not combine with the factors such as the inherent uncertainty of the water electricity.
Disclosure of Invention
In order to solve the defects in the prior art, the application provides a method for reporting electric quantity association control of a step power station, which solves the problems that the method principle is complex, the calculation is difficult, and the stable operation of an electric power market and the economic benefit of a hydropower station are difficult to be simultaneously considered.
According to an aspect of the present application, a method for reportable power association control of a step power station is provided, including:
basic parameter data and interval runoff flow of each step power station are obtained, and a prediction period is set;
calculating the limit upper limit value and the limit lower limit value of the warehouse-out flow of each step power station in the prediction period by utilizing the basic parameter data;
in the prediction period, calculating the outlet flow inverse sequence calculation upper limit value and the inverse sequence calculation lower limit value of each cascade power station from the cascade downstream final power station in an inverse sequence;
in the prediction period, calculating the upper limit value and the lower limit value of the sequence calculation of the ex-warehouse flow of each cascade power station from the first power station at the upstream of the cascade;
for each step power station, obtaining the upper limit value and the lower limit value of the delivery flow according to the delivery flow related data obtained by calculation,
and obtaining the predicted upper limit value and the predicted lower limit value of the generated energy through the upper limit value and the lower limit value of the ex-warehouse flow and the power generation water consumption rate.
According to some embodiments, the obtaining the upper limit value and the lower limit value of the outlet flow comprises: the cascade power stations are distributed step by step from upstream to downstream, the total power station number is m, the number of the upstream first power station is 1, the number of the downstream last power station is m, and the power station numbers are sequentially ordered. For a cascade plant numbered i, comparing the upper limit value of the limit of the delivery flow of the cascade plant within the prediction periodThe upper limit value of the reverse order calculation is +.>The order calculation upper limit value +.>Taking the minimum value of the values as the upper limit value +.about.of the delivery flow of the i-step power station in the prediction period>The expression relationship is as follows:
according to some embodiments, the obtaining the upper limit value and the lower limit value of the outlet flow further includes: for a cascade plant numbered i, comparing the limit lower limit value of the delivery flow thereof in the prediction periodThe lower limit value is calculated by the reverse orderSaid sequential calculation lower limit value +_>Taking the maximum value as the lower limit value of the ex-warehouse flow of the i-step power station in the prediction periodQ i . The expression relationship is as follows:
according to some embodiments, the obtaining the upper limit value and the lower limit value of the output flow limit of each step power station in the prediction period includes: obtaining the maximum limit value of the ex-warehouse flow of the cascade power station with the number of i in the prediction periodMinimum limit value of delivery flow>The electricity generation water consumption rate eta i And the power generation amount calculation upper limit value +.>And calculate the lower limit valueE i . In said forecast period, the upper limit value +_for the flow limit of the step station numbered i>And limit lower limit value->The following relationships are satisfied:
according to some embodiments, the power generation amount derived from the history data calculates an upper limit valueAnd calculate the lower limit valueE i Comprising: the prediction time period is in a time period set, the time period set has T time periods, and the prediction time period is the T time period of the time period set. Acquiring the planned total power generation upper limit value +.of the step power station with the number of i in the period set according to the historical data>And lower limit value->The amount of power that has been generated before the prediction period +.>The upper limit value of the power generation amount of the total kth period after the prediction period +.>And lower limit valuee ik . In the prediction period, calculating an upper limit value +_for the power generation amount of the step power station with the number i from the history data>And lower limit valueE i The following relationships are satisfied:
according to some embodiments, the calculating the output flow of each cascade power station from the cascade downstream last power station in reverse order is calculated in reverse orderCalculating a lower limit value by the limit value and the reverse order, including: acquiring the water storage capacity V of the cascade power station with the number of i+1 at the starting moment of the prediction period i+1,0 The method comprises the steps of carrying out a first treatment on the surface of the Acquiring the interval runoff flow I of the flow in the prediction period according to the data i+1 The method comprises the steps of carrying out a first treatment on the surface of the Acquiring a water storage capacity prediction upper limit value at the end time of the prediction period according to the historical dataAnd the lower limit value of water storage capacity predictionV i+1,t The method comprises the steps of carrying out a first treatment on the surface of the According to the reverse order calculation method, the reverse order calculation upper limit value +.>Calculating lower limit value from the reverse order->Calculating an upper limit value +_for the output flow of the cascade power station with the number i in the prediction period in reverse order>Calculating lower limit value from the reverse order->The following relationships are satisfied:
according to some embodiments, the calculating the upper limit value and the lower limit value of the sequence calculation of the ex-warehouse flow rate of each cascade power station sequentially from the cascade upstream first power station includes: acquiring the water storage capacity V of the cascade power station with the number i at the starting moment of the prediction period i,0 The method comprises the steps of carrying out a first treatment on the surface of the Acquiring the interval runoff of the plant in the prediction period according to the dataFlow I i The method comprises the steps of carrying out a first treatment on the surface of the Acquiring a water storage capacity prediction upper limit value at the end time of the prediction period according to the historical dataAnd the lower limit value of water storage capacity predictionV i,t The method comprises the steps of carrying out a first treatment on the surface of the According to the sequence calculation method, obtaining the sequence calculation upper limit value of the ex-warehouse flow of the cascade power station with the number of i-1 in the prediction periodAnd the lower limit value of the sequential calculation->Calculating an upper limit value +_for the order of the output flows of the cascade plants numbered i within the prediction period>And the lower limit value of the sequential calculation->The following relationships are satisfied:
according to some embodiments, the obtaining the power generation amount prediction upper limit value and the prediction lower limit value includes: the predicted upper limit value of the power generation amount of the step power station with the number i in the predicted periodAnd a prediction lower limit valueC i The upper limit value of the delivery flow>And lower limit valueQ i And the electricity generation consumption rate eta i The following relationships are satisfied:
C i ＝Q i /η i 。
according to an aspect of the present application, there is provided an apparatus for reportable electrical quantity association control of a step power station, comprising: the ex-warehouse flow limit value calculation module is used for calculating an upper limit value and a lower limit value of the ex-warehouse flow limit of each step power station in the prediction period; the warehouse-out flow value reverse order calculation module is used for calculating a warehouse-out flow reverse order calculation upper limit value and a reverse order calculation lower limit value of each step power station; the ex-warehouse flow value sequence calculation module is used for calculating an ex-warehouse flow sequence calculation upper limit value and a sequence calculation lower limit value of each step power station; the ex-warehouse flow limit value calculation module is used for calculating an upper limit value and a lower limit value of the ex-warehouse flow of each step power station; and the power generation amount prediction value calculation module is used for calculating the power generation amount prediction upper limit value and the power generation amount prediction lower limit value of each step power station.
According to an aspect of the present application, there is provided an electronic device including: one or more processors; a storage means for storing one or more programs; the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method as described in any of the previous embodiments.
The beneficial effects of this application:
according to some embodiments, the method for reporting electric quantity association control of the step power station provided by the application is different from the existing method, has scientific principle, simple process and easy operation, and improves solving precision and efficiency.
According to some embodiments, the step water quantity matching check requirement in the electric power market is met through reverse sequence and sequential twice calculation and checking and comparison of the step upstream and downstream water quantity relation, and the economic benefit of the step hydropower station can be effectively improved while the stable operation of the electric power market is ensured.
According to some embodiments, the method and the device integrate the water quantity relation, the hydraulic power and electric power relation, the middle-long-term contract electric quantity decomposition and other calculation relations among the step power stations, can accurately evaluate the power generation capacity of each period of the step power stations, can be applied to solving the problems in actual scheduling production, and have practicability.
Drawings
Fig. 1 illustrates a flowchart of a power-reportable quantity association control method for a step power station in accordance with an example embodiment.
FIG. 2 illustrates a schematic diagram of the water volume relationship between an upstream and a downstream cascade plant according to an example embodiment.
Fig. 3 illustrates a block diagram of an apparatus for a step plant reportable power association control in accordance with an example embodiment.
Fig. 4 shows a block diagram of an electronic device according to an exemplary embodiment.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments can be embodied in many forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art. The same reference numerals in the drawings denote the same or similar parts, and thus a repetitive description thereof will be omitted.
Example embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments can be embodied in many forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art. The same reference numerals in the drawings denote the same or similar parts, and thus a repetitive description thereof will be omitted.
Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the present application. One skilled in the relevant art will recognize, however, that the aspects of the application can be practiced without one or more of the specific details, or with other methods, components, devices, steps, etc. In other instances, well-known methods, devices, implementations, or operations are not shown or described in detail to avoid obscuring aspects of the application.
The flow diagrams depicted in the figures are exemplary only, and do not necessarily include all of the elements and operations/steps, nor must they be performed in the order described. For example, some operations/steps may be decomposed, and some operations/steps may be combined or partially combined, so that the order of actual execution may be changed according to actual situations.
It will be understood that, although the terms first, second, third, etc. may be used herein to describe various components, these components should not be limited by these terms. These terms are used to distinguish one element from another element. Thus, a first component discussed below could be termed a second component without departing from the teachings of the present application concept. As used herein, the term "and/or" includes any one of the associated listed items and all combinations of one or more.
Those skilled in the art will appreciate that the drawings are schematic representations of example embodiments, and that the modules or flows in the drawings are not necessarily required to practice the present application, and therefore, should not be taken to limit the scope of the present application.
The step hydropower station as an independent power producer needs to provide relatively accurate data of the generated energy in a target period for electricity purchasing users so as to provide reliable service for the electricity purchasing users and ensure the economic benefit of the step hydropower station. The power generation capacity of the cascade hydropower station is limited by technical parameters of a generator set and is also determined by complex and variable hydraulic and electric power coupling relations between the upstream power station and the downstream power station of the cascade, so that the pre-generated power of the cascade hydropower station in a specified period is difficult to accurately evaluate.
To this end, the present application proposes a solution. According to some embodiments of the application, for each hydropower station, basic parameter data and historical operation data records of the hydropower station can be obtained, and relevant flow data and real-time state data of the water body under jurisdiction can be obtained. According to the technical conception, the same data of the upstream and downstream hydropower stations are combined, the delivery flow of the hydropower station can be measured and calculated with high accuracy, and the generated energy of the hydropower station can be accurately predicted.
The present application is further described below with reference to the accompanying drawings.
Fig. 1 illustrates a flowchart of a power-reportable quantity association control method for a step power station in accordance with an example embodiment.
As shown in fig. 1, at S110, for each step power station, its basic parameter data and interval runoff flow are first acquired, and a prediction period is set.
According to an example embodiment, the prediction period may be set on demand, such as a natural day; the basic parameters of the step power station comprise: the method comprises the steps of predicting a period initial water storage amount, planning a total power generation limit value, predicting a period power generation limit value, a power station installed capacity, a flood control limit flow, a comprehensive water flow, predicting a period end water storage amount predicted value, power station power generation historical data, a power generation water consumption rate and the like; the interval runoff flow is recorded by historical data and is derived from water flow data of water bodies outside the upstream water power station.
At S121, calculating by the basic parameter data of the power station, to obtain the limit value of the output flow of each cascade power station in the prediction period, specifically including the limit upper limit value and the limit lower limit value.
According to an exemplary embodiment, the cascade plants are distributed step by step from upstream to downstream, with a total plant number of m, an upstream first plant number of 1, a downstream last plant number of m, and the plant numbers ordered sequentially therebetween.
The upper limit value of the outlet flow limit of the cascade power station with the number i in the prediction periodAnd a limit lower limit valueThis can be derived from the following data:
maximum limit value of delivery flowNamely, the maximum ex-warehouse flow value based on the upper limit of the installed capacity of the power station, and the flood control limit flow value can be used according to an embodiment;
minimum limit value of delivery flowThe minimum output flow value which can maintain the basic working state of the power station unit can be the comprehensive water flow value according to an embodiment;
power generation water consumption rate eta i The amount of water that needs to be consumed to produce a unit amount of electricity;
upper limit value of power generation amount calculationAnd calculate the lower limit valueE i The data is obtained by comprehensively calculating historical data, existing data and limit data, and is described in detail later;
the calculation upper limit value of the warehouse-out flow rate is obtained,E i ·η i obtaining the lower limit value of the calculation of the delivery flow.
Maximum limit value of delivery flowCalculating the upper limit value of the flow meter from the warehouse>Taking its minimum value as the upper limit value of the delivery flow limit +.>Minimum limit value of delivery flow>Calculating lower limit value of flow rate of deliveryE i ·η i Takes its maximum value as the limit lower limit value +.>
The expression relationship is:
calculating an upper limit value for the aforementioned power generation amountAnd calculate the lower limit valueE i The method comprises the following steps:
the prediction time period is in a time period set, the time period set has T time periods, and the prediction time period is the T time period of the time period set.
According to an embodiment, the period set may be 31 natural days of 7 months, and the predicted period may be 12 th natural days, i.e. 7 months and 12 days.
Acquiring the planned total power generation upper limit value of the step power station with the number of i in a time period set according to the historical dataAnd lower limit value->The amount of power generation that has been generated before the prediction period +.>The upper limit value of the power generation amount of the total kth period after the prediction period +.>And lower limit valuee ik 。
According to an embodiment, the average value of the 7-month power generation amount recorded in the past five years of the i-step power station can be multiplied by a proportionality coefficient such as 1.2 to obtain the planned total power generation amount upper limit valueMultiplying another criterion ratio number, for example, 0.9 to obtain the planned total power generation lower limit value +.>The value of the proportion coefficient can be set according to the data conditions of rainfall, climate and the like in the current year, the proportion coefficient can be properly adjusted upwards if rainfall is heavy, and the proportion coefficient can be properly reduced if rainfall is poor; upper limit value of power generation amount of total kth periodThe value can be the generated energy of the power station unit operating at full load for one whole day, and the lower limit value of the generated energye ik The value of 0 can be taken, namely the current day of delivery flow is too small to drive the power station unit to operate.
Within the period set T, the generated energy of the step power station with the number i in the prediction period T calculates the upper limit valueAnd calculating a lower limit valueE i The following relationships are satisfied:
and calculating through basic parameter data and interval runoff flow of the power stations to obtain a reverse order calculation limit value of the delivery flow of each cascade power station in a prediction period, wherein the reverse order calculation limit value specifically comprises a reverse order calculation upper limit value and a reverse order calculation lower limit value.
Referring to the schematic diagram of the water volume relationship between the upstream and downstream cascade plants according to the exemplary embodiment shown in fig. 2, it is possible to obtain:
acquiring the water storage capacity V at the end of the period of the step power station with the number of i in a prediction period i,t Water storage volume V at the beginning of period i,0 Interval runoff flow I flowing into water area of power station i And the delivery flow Q of the upstream i-1 power station i-1 And the delivery flow Q from the i power station i . The relationship is that the difference between the total inflow and the total outflow is equal to the change of the water storage amount in the period, and the water storage amount can be expressed as a water amount relationship:
(I i +Q i-1 )-Q i ＝V i,t -V i,0
by utilizing the water quantity relational expression, the delivery flow limit values of all the cascade power stations can be calculated in reverse order from the downstream last cascade power station, and then the delivery flow limit values of all the cascade power stations can be calculated in reverse order from the upstream first cascade power station. Thus, two ex-warehouse flow limit values can be obtained for each step power station at the non-two end positions in the step power station group, more references and data constraints are provided for predicting the final ex-warehouse flow value, and the ex-warehouse flow predicted value can be more accurate.
In S122, in the prediction period, the output flow reverse order calculation upper limit value and the reverse order calculation lower limit value of each cascade power station are calculated from the cascade downstream last power station in reverse order. And the reverse order calculation means that the related data of the downstream i+1 power station is utilized to calculate the reverse order calculation limit value of the outlet flow of the current i power station. According to an exemplary embodiment, the reverse calculation is performed by, for the cascade power station numbered i, obtaining the water storage V of the downstream i+1 cascade power station at the start of the prediction period i+1,0 The method comprises the steps of carrying out a first treatment on the surface of the Acquiring interval runoff flow I of the i+1-step power station in a prediction period according to the data i+1 The method comprises the steps of carrying out a first treatment on the surface of the According to the historical data, acquiring a water storage capacity prediction upper limit value of the i+1 step power station at the end time of a prediction periodAnd the lower limit value of water storage capacity predictionV i+1,t The method comprises the steps of carrying out a first treatment on the surface of the According to the reverse order calculation method, obtaining the reverse order calculation upper limit value +.>And calculating the lower limit value in reverse orderFrom the water quantity relation deduced from fig. 2, the outlet flow of the cascade plant numbered i in the prediction period is calculated in reverse order as an upper limit value +.>Calculating lower limit value from the reverse order->The following relationships are satisfied:
the reverse order calculation method needs to calculate the reverse order calculation limit value of the delivery flow of each upstream cascade power station from bottom to top from m power stations at the last cascade position. However, it is clear that the m power station has no downstream power station related data, and thus the calculation of the output flow value cannot be performed by using this equation. According to an exemplary embodiment, in particular, for an m power station, historical contemporaneous runoff data of its downstream hydrologic monitoring station statistics or downstream river flow values obtained from the measurement may be taken as the output flow value Q m 。
In S123, in the prediction period, the output flow of each cascade power station is calculated in an inverse order from the last power station at the downstream of the cascade, and the upper limit value and the lower limit value are calculated in an inverse order. The sequence calculation means that the calculation limit value of the outlet flow sequence of the current i power station is calculated by using the related data of the upstream i-1 power station. Root of Chinese characterAccording to an exemplary embodiment, the sequential calculation is performed by, for the cascade station numbered i, obtaining its water storage V at the start of the forecast period i,0 The method comprises the steps of carrying out a first treatment on the surface of the Acquiring interval runoff flow I of the flow in a prediction period according to the data i The method comprises the steps of carrying out a first treatment on the surface of the Acquiring the water storage capacity prediction upper limit value at the end time of the prediction period according to the historical dataAnd the lower limit value of water storage capacity predictionV i,t The method comprises the steps of carrying out a first treatment on the surface of the According to the sequential calculation method, the sequential calculation upper limit value +_of the delivery flow of the upstream i-1 cascade power station in the prediction period is obtained>And the lower limit value of the sequential calculation->From the water quantity relation deduced from fig. 2, the order of the output flows of the cascade stations numbered i in the forecast period calculates an upper limit value +.>And the lower limit value of the sequential calculation->The following relationships are satisfied:
the sequence calculation method needs to calculate the outlet flow sequence calculation limit value of each downstream cascade power station from top to bottom from the first 1 power station of the cascade. However, it is readily apparent that for 1 plant, since there is no upstream plant, the formula isAnd->The value of (2) is 0.
At S130, the obtained data related to the delivery flow is compared to obtain a delivery flow limit.
According to an exemplary embodiment, for a cascade plant numbered i, the upper limit value of the limit of its ex-warehouse flow in a predicted period is comparedCalculating upper limit value in reverse order->Sequentially calculating upper limit value->Taking the minimum value of the output flow of the step power station as the upper limit value +.>Comparing the limit lower limit value of the delivery flow in the prediction period>Calculating lower limit value +.>Sequentially calculating lower limit value->Taking the maximum value as the lower limit value of the delivery flow of the i-step power station in the prediction period +.>The expression relationship is:
the meaning of the value rule is that the minimum value of each upper limit value is used for ensuring that the predicted and declared generated energy of the step power station can be as high as possible on the premise of not exceeding objective condition constraint, and the power generation benefit is improved; the maximum value of each lower limit value is used for guaranteeing the safe operation of the power station and avoiding loss caused by start-up and shutdown and the like.
In S140, the power generation amount prediction limit value of the power station is calculated from the power station outlet flow limit value and the power generation consumption rate of the power station obtained by the above-described method.
According to an exemplary embodiment, for a step plant numbered i, its power generation predicts an upper limit valueAnd a prediction lower limit valueC i Upper limit value of delivery flow>And lower limit valueQ i And the electricity generation and water consumption rate eta i The following relationships are satisfied:
C i ＝Q i /η i
the predicted upper limit value and the predicted lower limit value of the generated energy are the upper limit value and the lower limit value of the corresponding electric quantity which can be declared by the step power station.
Fig. 3 illustrates a block diagram of a reportable power association control for a step plant in accordance with an example embodiment.
The apparatus shown in fig. 3 may perform a method for reportable power related control of a step power station according to an embodiment of the present application as described above.
As shown in fig. 3, an apparatus for a step plant reportable power association control may include: the system comprises a ex-warehouse flow limit value calculation module 310, an ex-warehouse flow value reverse sequence calculation module 320, an ex-warehouse flow value sequence calculation module 330, an ex-warehouse flow limit value calculation module 340 and a power generation quantity prediction value calculation module 350.
Referring to fig. 3 and with reference to the foregoing description, the ex-warehouse flow limit value calculation module 310 is configured to calculate an upper limit value and a lower limit value of the ex-warehouse flow limit of the power plant within the predicted period using the basic parameter data of each step power plant.
The reverse order calculation module 320 is configured to calculate a reverse order calculation upper limit value and a reverse order calculation lower limit value of the delivery flow of each cascade power station in sequence from the downstream last cascade power station by using the water volume relation and the related power station parameter data.
The ex-warehouse flow value sequence calculation module 330 is configured to sequentially calculate an upper limit value and a lower limit value of the ex-warehouse flow sequence calculation of each cascade power station in sequence from an upstream first cascade power station by using the water volume relation and the related power station parameter data.
The ex-warehouse flow limit value calculation module 340 is configured to calculate an upper limit value and a lower limit value of the ex-warehouse flow of each step power station according to the ex-warehouse flow related data calculated by the foregoing modules.
The power generation amount predicted value calculation module 350 is configured to calculate a power generation amount predicted upper limit value and a predicted lower limit value according to the power generation consumption rate and the output flow limit value of each cascade power station calculated by the foregoing modules.
The apparatus performs functions similar to those provided above, and other functions may be found in the foregoing description and will not be repeated here.
Fig. 4 shows a block diagram of an electronic device according to an exemplary embodiment.
An electronic device 400 according to this embodiment of the present application is described below with reference to fig. 4. The electronic device 400 shown in fig. 4 is merely an example and should not be construed as limiting the functionality and scope of use of embodiments of the present application.
As shown in fig. 4, the electronic device 400 is embodied in the form of a general purpose computing device. The components of electronic device 400 may include, but are not limited to: at least one processing unit 410, at least one memory unit 420, a bus 430 connecting the different system components (including memory unit 420 and processing unit 410), a display unit 440, and the like.
Wherein the storage unit stores program code that is executable by the processing unit 410 such that the processing unit 410 performs the methods described herein according to various exemplary embodiments of the present application. For example, the processing unit 410 may perform the methods described previously.
The storage unit 420 may include readable media in the form of volatile storage units, such as Random Access Memory (RAM) 4201 and/or cache memory 4202, and may further include Read Only Memory (ROM) 4203.
The storage unit 420 may also include a program/utility 4204 having a set (at least one) of program modules 4205, such program modules 4205 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment.
Bus 430 may be a local bus representing one or more of several types of bus structures including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or using any of a variety of bus architectures.
The electronic device 400 may also communicate with one or more external devices 4001 (e.g., keyboard, pointing device, bluetooth device, etc.), one or more devices that enable a user to interact with the electronic device 400, and/or any device (e.g., router, modem, etc.) that enables the electronic device 400 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 450. Also, electronic device 400 may communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet, through network adapter 460. The network adapter 460 may communicate with other modules of the electronic device 400 via the bus 430. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with electronic device 400, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.
From the above description of embodiments, those skilled in the art will readily appreciate that the example embodiments described herein may be implemented in software, or may be implemented in software in combination with the necessary hardware. The technical solution according to the embodiments of the present application may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a usb disk, a mobile hard disk, etc.) or on a network, and includes several instructions to cause a computing device (may be a personal computer, a server, or a network device, etc.) to perform the above-described method according to the embodiments of the present application.
The software product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium can be, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium would include the following: an electrical connection having one or more wires, a portable disk, a hard disk, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The computer readable storage medium may include a data signal propagated in baseband or as part of a carrier wave, with readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A readable storage medium may also be any readable medium that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a readable storage medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations of the present application may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., connected via the Internet using an Internet service provider).
The computer-readable medium carries one or more programs which, when executed by one of the devices, cause the computer-readable medium to perform the aforementioned functions.
Those skilled in the art will appreciate that the modules may be distributed throughout several devices as described in the embodiments, and that corresponding variations may be implemented in one or more devices that are unique to the embodiments. The modules of the above embodiments may be combined into one module, or may be further split into a plurality of sub-modules.
From the above description of embodiments, those skilled in the art will readily appreciate that the example embodiments described herein may be implemented in software, or in combination with the necessary hardware. Thus, the technical solutions according to the embodiments of the present application may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.) or on a network, and include several instructions to cause a computing device (may be a personal computer, a server, a mobile terminal, or a network device, etc.) to perform the methods according to the embodiments of the present application.
In summary, the method utilizes the existing data and historical data to accurately calculate the generated energy of each step power station in the expected period through calculation and comparison. Provides powerful guarantee for reasonable operation and maximization of economic benefit of the cascade hydropower station.
It will be readily appreciated by those skilled in the art that the foregoing description is merely a preferred embodiment of the present application and is not intended to limit the present application, but any modifications, equivalents, improvements or the like which fall within the spirit and principles of the present application are intended to be included within the scope of the present application.

Claims (7)

1. A method for reportable electrical quantity associated control of a step power station, comprising:
basic parameter data and interval runoff flow of each step power station are obtained, and a prediction period is set;
calculating the limit upper limit value and the limit lower limit value of the warehouse-out flow of each step power station in the prediction period by utilizing the basic parameter data;
in the prediction period, calculating the outlet flow inverse sequence calculation upper limit value and the inverse sequence calculation lower limit value of each cascade power station from the cascade downstream final power station in an inverse sequence;
in the prediction period, calculating the upper limit value and the lower limit value of the sequence calculation of the ex-warehouse flow of each cascade power station from the first power station at the upstream of the cascade;
for each cascade power station, obtaining an upper limit value and a lower limit value of the ex-warehouse flow by using the upper limit value and the lower limit value of the ex-warehouse flow, the upper limit value and the lower limit value of the ex-warehouse flow calculated in reverse order and the upper limit value and the lower limit value of the ex-warehouse flow calculated in sequence;
obtaining a predicted upper limit value and a predicted lower limit value of the generated energy through the upper limit value and the lower limit value of the ex-warehouse flow and the power generation water consumption rate;
for each cascade power station, obtaining an upper limit value and a lower limit value of the outlet flow by using the upper limit value and the lower limit value of the outlet flow, the upper limit value and the lower limit value of the outlet flow reverse order calculation and the upper limit value and the lower limit value of the outlet flow order calculation, and the method comprises the following steps:
the cascade power stations are distributed step by step from upstream to downstream, the total power station number is m, the number of the upstream first power station is 1, the number of the downstream last power station is m, and the power station numbers are sequentially ordered;
for a cascade plant numbered i, comparing the upper limit value of the limit of the delivery flow of the cascade plant within the prediction periodThe upper limit value of the reverse order calculation is +.>The order calculation upper limit value +.>Taking the minimum value of the values as the upper limit value +.about.of the delivery flow of the i-step power station in the prediction period>The expression relationship is as follows:
for a cascade plant numbered i, comparing the limit lower limit value of the delivery flow thereof in the prediction periodThe lower limit value of the reverse order calculation>The order calculation lower limit value/>Taking the maximum value as the lower limit value of the ex-warehouse flow of the i-step power station in the prediction periodQ i The expression relationship is as follows:
calculating an upper limit value and a lower limit value of the ex-warehouse flow of each step power station in the prediction period by using the basic parameter data, wherein the method comprises the following steps of:
obtaining the maximum limit value of the ex-warehouse flow of the cascade power station with the number of i in the prediction periodMinimum limit value of delivery flow>The electricity generation water consumption rate eta i And the power generation amount calculation upper limit value +.>And calculate the lower limit valueE i ；
The upper limit value of the outlet flow limit of the cascade power station with the number of i in the prediction periodAnd limit lower limit value->The following relationships are satisfied:
2. the method according to claim 1, wherein the power generation amount derived from the history data calculates an upper limit valueAnd calculate the lower limit valueE i Comprising:
the prediction time period is in a time period set, the time period set has T time periods, and the prediction time period is the T time period of the time period set;
acquiring the planned power generation total amount upper limit value of the step power station with the number of i in the period set according to the historical dataAnd lower limit value->The amount of power that has been generated before the prediction period +.>The upper limit value of the power generation amount of the total kth period after the prediction period +.>And lower limit valuee ik ；
Calculating an upper limit value of the power generation amount of the step power station with the number i, which is obtained from the historical data, in the prediction periodAnd lower limit valueE i The following relationships are satisfied:
3. the method of claim 2, wherein calculating the upper and lower limits of the reverse order calculation for the output flow of each cascade power station from the last power station downstream of the cascade comprises:
acquiring the water storage capacity V of the cascade power station with the number of i+1 at the starting moment of the prediction period i+1,0 The method comprises the steps of carrying out a first treatment on the surface of the Acquiring the interval runoff flow I of the flow in the prediction period according to the data i+1 The method comprises the steps of carrying out a first treatment on the surface of the Acquiring a water storage capacity prediction upper limit value at the end time of the prediction period according to the historical dataAnd the lower limit value of water storage capacity predictionV i+1,t The method comprises the steps of carrying out a first treatment on the surface of the According to the reverse order calculation method, the reverse order calculation upper limit value +.>Calculating lower limit value from the reverse order->
Calculating the upper limit value of the output flow of the cascade power station with the number i in the prediction period in reverse orderCalculating lower limit value from the reverse order->The following relationships are satisfied:
4. the method of claim 2, wherein sequentially calculating the order calculation upper limit value and the order calculation lower limit value of the outgoing flow rate of each of the cascade power stations from the cascade upstream head power station comprises:
acquiring the water storage capacity V of the cascade power station with the number i at the starting moment of the prediction period i,0 The method comprises the steps of carrying out a first treatment on the surface of the Acquiring the interval runoff flow I of the flow in the prediction period according to the data i The method comprises the steps of carrying out a first treatment on the surface of the Acquiring a water storage capacity prediction upper limit value at the end time of the prediction period according to the historical dataAnd the lower limit value of water storage capacity predictionV i,t The method comprises the steps of carrying out a first treatment on the surface of the According to the sequential calculation method, the sequential calculation upper limit value of the ex-warehouse flow of the cascade power station with the number of i-1 in the prediction period is obtained>And the lower limit value of the sequential calculation->
Calculating an upper limit value of the ex-warehouse flow sequence of the cascade power station with the number i in the prediction periodAnd the lower limit value of the sequential calculation->The following relationships are satisfied:
5. the method of claim 1, wherein the obtaining the power generation amount prediction upper limit value and the prediction lower limit value includes:
the predicted upper limit value of the power generation amount of the step power station with the number i in the predicted periodAnd a prediction lower limit valueC i The upper limit value of the delivery flow>And lower limit valueQ i And the electricity generation consumption rate eta i The following relationships are satisfied:
C i ＝Q i /η i 。
6. an apparatus for reportable electrical quantity associated control of a step power station, comprising:
the ex-warehouse flow limit value calculation module is used for calculating an upper limit value and a lower limit value of the ex-warehouse flow limit of each step power station in a prediction period;
the warehouse-out flow value reverse order calculation module is used for calculating a warehouse-out flow reverse order calculation upper limit value and a reverse order calculation lower limit value of each step power station;
the ex-warehouse flow value sequence calculation module is used for calculating an ex-warehouse flow sequence calculation upper limit value and a sequence calculation lower limit value of each step power station;
the ex-warehouse flow limit value calculation module is used for calculating the ex-warehouse flow upper limit value and the lower limit value of each step power station by using the ex-warehouse flow limit upper limit value and the limit lower limit value, the ex-warehouse flow reverse order calculation upper limit value and the reverse order calculation lower limit value and the ex-warehouse flow order calculation upper limit value and the order calculation lower limit value for each step power station;
the power generation amount predicted value calculation module is used for calculating a power generation amount predicted upper limit value and a power generation amount predicted lower limit value of each step power station;
the step power stations are distributed step by step from upstream to downstream in the warehouse-out flow limit value calculation module, the total power station number is m, the number of the upstream first power station is 1, the number of the downstream last power station is m, and the power station numbers are sequentially ordered in the middle;
for a cascade plant numbered i, comparing the upper limit value of the limit of the delivery flow of the cascade plant within the prediction periodThe upper limit value of the reverse order calculation is +.>The order calculation upper limit value +.>Taking the minimum value of the values as the upper limit value +.about.of the delivery flow of the i-step power station in the prediction period>The expression relationship is as follows:
for a cascade plant numbered i, comparing the limit lower limit value of the delivery flow thereof in the prediction periodThe lower limit value of the reverse order calculation>Said sequential calculation lower limit value +_>Taking the maximum value as the lower limit value of the ex-warehouse flow of the i-step power station in the prediction periodQ i The expression relationship is as follows:
the calculation module of the limit value of the ex-warehouse flow also comprises a calculation sub-module of the limit upper limit value and the limit lower limit value of the ex-warehouse flow, which is used for obtaining the maximum limit value of the ex-warehouse flow of the cascade power station with the number of i in the prediction periodMinimum limit value of delivery flow>Power generation water consumption rate eta i And the power generation amount calculation upper limit value +.>And calculate the lower limit valueE i In the prediction period, the upper limit value +_of the outlet flow limit of the cascade power station numbered i>And a limit lower limit valueThe following relationships are satisfied:
7. an electronic device, comprising:
one or more processors;
a storage means for storing one or more programs;
when executed by the one or more processors, causes the one or more processors to implement the method of any of claims 1-5.
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