CN107871181B - Method, device and system for making power generation plan of cogeneration unit - Google Patents
Method, device and system for making power generation plan of cogeneration unit Download PDFInfo
- Publication number
- CN107871181B CN107871181B CN201710964789.6A CN201710964789A CN107871181B CN 107871181 B CN107871181 B CN 107871181B CN 201710964789 A CN201710964789 A CN 201710964789A CN 107871181 B CN107871181 B CN 107871181B
- Authority
- CN
- China
- Prior art keywords
- power plant
- unit
- thermal parameters
- predicted
- steam supply
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000010248 power generation Methods 0.000 title claims abstract description 42
- 238000000034 method Methods 0.000 title claims abstract description 16
- 230000007613 environmental effect Effects 0.000 claims description 14
- 238000005457 optimization Methods 0.000 claims description 9
- 238000005259 measurement Methods 0.000 claims description 8
- 238000013507 mapping Methods 0.000 claims description 7
- 238000012545 processing Methods 0.000 claims description 4
- 238000012937 correction Methods 0.000 claims description 2
- 238000013461 design Methods 0.000 abstract description 2
- 230000008901 benefit Effects 0.000 description 5
- 238000012360 testing method Methods 0.000 description 5
- 230000009286 beneficial effect Effects 0.000 description 2
- 239000003245 coal Substances 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000002474 experimental method Methods 0.000 description 2
- 238000007726 management method Methods 0.000 description 2
- 230000015572 biosynthetic process Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000008094 contradictory effect Effects 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000005265 energy consumption Methods 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 230000005484 gravity Effects 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06312—Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06315—Needs-based resource requirements planning or analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- 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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Tourism & Hospitality (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Marketing (AREA)
- Physics & Mathematics (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Game Theory and Decision Science (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- Health & Medical Sciences (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Control Of Eletrric Generators (AREA)
Abstract
The invention discloses a method, a device and a system for making a power generation plan of a cogeneration unit, wherein the minimum number of units required by heat supply of a power plant is determined by actually measuring heat supply parameters and predicting daily heat parameter requirements in combination with unit design parameters, the actually measured interval and a thermoelectric relation grid of each variable are divided according to the frequency modulation and peak shaving performance of a system and the maximum allowable deviation and fluctuation requirements of the units to generate a discretized thermoelectric relation group, and the corresponding upper limit and the lower limit of the predicted heat parameters in the thermoelectric relation group are searched and corrected to obtain the upper limit and the lower limit of output required by heat supply. And adopting different daily plan arrangement modes according to the electric quantity transaction state of the unit and the network constraint condition. The invention grasps necessary heat supply information of the power plant unit through the obtained cogeneration unit and the constraint conditions of the upper and lower output limits of the whole plant, and improves the peak shaving performance of the system.
Description
Technical Field
The invention relates to the field of thermoelectric scheduling control, in particular to a method, a device and a system for making a power generation plan of a cogeneration unit.
Background
With the construction of the electric power market and the increase in the specific gravity of the cogeneration units in the electric power grid, the cogeneration units have gradually entered the electric power market. The cogeneration unit is different from the straight condensing unit in the electricity quantity limiting condition of the electric power market transaction due to the heat supply limitation, and is also different from the straight condensing unit in the peak regulation interval in the daily operation. In the past, on the policy of setting the power by heat in China, the scheduling mode of a scheduling mechanism for a cogeneration unit is relatively extensive, thermodynamic parameters and thermodynamic characteristics of different types of cogeneration units are not known, and when a power grid needs to adjust the peak, the cogeneration unit does not actively participate in the peak adjustment of the power grid, so that the contradiction between the cogeneration unit and a straight condensing unit is easily caused. Due to the fact that the power grid does not completely master the thermoelectric information of the cogeneration unit, issuing a load instruction is easy to separate from the actual condition of the unit, so that the load instruction is difficult to execute, and communication coordination work between the two parties is increased. With the implementation of the national cogeneration matching policy, the total capacity and the occupied proportion of the industrial heat supply unit are continuously enlarged, the influence of the operation and scheduling modes of the unit on the stability and the safety of a power grid is further increased, and the new energy consumption of the power grid is influenced.
In the past, on the daily planning arrangement of the formation of the cogeneration unit, the unit output plan is made by experience alone. However, the upper and lower limits of the output of the cogeneration unit are greatly influenced by the steam supply flow, and are also limited by boundary conditions such as the operation mode and the environmental temperature. In addition, for industrial centralized heating, the difference of steam supply quality requirements also exists, and the different steam supply quality requirements also enable units of the same type to need different unit output. Due to the lack of the thermal parameters and thermal characteristic curves, the scheduling mechanism is often relatively extensive in the arrangement of the output of the cogeneration unit. In addition, because the heat supply capacity of the units is not mastered, the minimum number of the units which need to supply heat for the power plant is not known, the upper and lower output limits required by the heat supply guarantee of the whole plant cannot be obtained, and the units are relatively passive in the aspect of arranging the start and stop of the units. Therefore, how to effectively master the heat supply information of the cogeneration unit, reasonably arrange the output of the cogeneration unit, and fully excavate the peak shaving potential of the unit is always a problem to be solved urgently by daily planning and scheduling of the cogeneration unit.
The thermal characteristics of the heat supply unit are influenced by a plurality of conditions of steam supply flow, steam supply quality and environmental temperature to form a multivariable curve. The heat supply steam extraction flow is multi-stage, if each variable characteristic curve is determined by parameter actual measurement, huge engineering quantity is generated, and a thermoelectric relation database of the whole network is difficult to generate by using huge data quantity. How to scientifically and reasonably divide the interval of each variable between actual measurement and thermoelectric relation is also an important condition for the practical application of the system.
Disclosure of Invention
The invention mainly aims to provide a method for making a power generation plan of a cogeneration unit, aiming at overcoming the problems.
In order to achieve the purpose, the power generation plan making method of the cogeneration unit provided by the invention comprises the following steps:
s10, collecting thermal parameters actually measured by the heat supply of the unit, and establishing a characteristic model of the actually measured thermal parameters and the upper and lower limits of the output of the whole plant, wherein the thermal parameters comprise actually measured values of steam supply flow, ambient temperature and steam supply pressure;
s20, inputting thermal parameters predicted by the power plant the next day, and mapping the thermal parameters predicted by the power plant the next day to a characteristic model of the actually measured thermal parameters and the upper and lower limits of output of the whole plant, so as to obtain the predicted thermal parameters of the power plant the next day and the constraint conditions of the upper and lower limits of output required by heat supply of the power plant;
s30, acquiring heat supply capacity data of each unit according to the measured value of the steam supply flow of the unit and the steam supply parameter of each unit, and acquiring the minimum number of units required by heat supply of the power plant by combining the steam supply flow predicted by the power plant on the next day;
s40, combining the predicted thermal parameters of the power plant obtained in S20 and the constraint conditions of the upper and lower output limits required by heat supply with the minimum number of units required by heat supply of the power plant obtained in S30 to generate constraint conditions of the upper and lower output limits of the heat supply unit and the whole plant;
s50, extracting the intersection of the upper and lower limit conditions of the output of the heat supply unit and the whole plant and the upper and lower limit conditions of the output of the power grid to generate a combined heat and power generation unit and the upper and lower limit conditions of the output of the whole plant;
and S60, making a power plant power generation plan according to the combined heat and power generation unit and the plant output upper and lower limit constraint conditions so as to participate in the next day of the load optimization distribution of the whole network.
Preferably, the thermodynamic parameters further include measured values of ambient temperature and steam supply pressure, and the S20 includes:
s201, dividing a network line by a characteristic model of actually measured thermal parameters and upper and lower output limits according to a certain percentage value of actually measured steam supply flow for heat supply of a unit, and generating a discretized actually measured thermal characteristic group;
s202, inputting thermal parameters predicted by the power plant the next day, matching the thermal parameters predicted by the power plant the next day with a characteristic group of actually-measured thermal, and obtaining corresponding actually-measured thermal parameters, measured values of environment temperature and steam supply pressure;
s203, if the influence of the steam supply pressure and the environment temperature predicted by the power plant on the unit output is larger than a preset threshold value, correcting the predicted values of the environment temperature and the steam supply pressure of the power plant according to the corresponding measured values of the environment temperature and the steam supply pressure;
s204, combining the obtained corresponding measured thermal parameters with the predicted values of the next day environmental temperature and the steam supply pressure of the power plant, and obtaining the next day predicted thermal parameters of the power plant and the upper and lower limit constraint conditions of output required by heat supply of the power plant.
Preferably, the range of the certain percentage value of the rated steam supply flow of the actual measurement unit is 5-10%.
Preferably, the predetermined threshold is 2%.
The invention also provides a device for making a power generation plan of the cogeneration unit, which comprises:
the system comprises an establishing module, a data processing module and a data processing module, wherein the establishing module is used for acquiring thermal parameters actually measured by heat supply of a unit and establishing a characteristic model of the actually measured thermal parameters and upper and lower limits of output of a whole plant, and the thermal parameters comprise actually measured values of steam supply flow, ambient temperature and steam supply pressure;
the first acquisition module is used for inputting thermal parameters predicted by the power plant the next day and mapping the thermal parameters predicted by the power plant the next day to a characteristic model of the actually measured thermal parameters and the upper and lower output limits of the whole plant, so that the thermal parameters predicted by the power plant the next day and the constraint conditions of the upper and lower output limits required by heat supply of the power plant are acquired;
the second acquisition module is used for acquiring the heat supply capacity data of each unit according to the actually measured steam supply flow and steam supply parameters of the units for heat supply, and acquiring the minimum number of the units required by the heat supply of the power plant by combining the steam supply flow predicted by the power plant on the next day;
the first generation module is used for combining the next-day predicted thermal parameters of the power plant acquired by the first acquisition module and the constraint conditions of the upper and lower output limits required by heat supply of the power plant acquired by the second acquisition module with the minimum number of units required by heat supply of the power plant acquired by the second acquisition module to generate constraint conditions of the heat supply units and the upper and lower output limits of the whole plant;
the second generation module is used for extracting the intersection of the heat supply unit and the plant output upper and lower limit constraint conditions and the power grid output upper and lower limit constraint conditions to generate the cogeneration unit and the plant output upper and lower limit constraint conditions;
and the making module is used for making a power plant power generation plan according to the combined heat and power generation unit and the upper and lower limit constraint conditions of the output of the whole plant so as to participate in the next day load optimization distribution of the whole network.
Preferably, the first obtaining module includes:
the generating unit is used for dividing a network line by the characteristic models of the actually measured thermal parameters and the upper and lower output limits according to a certain percentage value of rated steam supply flow of the actually measured unit to generate a discretized actually measured thermal characteristic group;
the matching unit is used for inputting thermal parameters predicted by the power plant the next day, matching the thermal parameters predicted by the power plant the next day with the characteristic group of the actually measured thermal, and acquiring corresponding actually measured thermal parameters, measured values of the environment temperature and the steam supply pressure;
the correction unit is used for correcting the predicted values of the ambient temperature and the steam supply pressure of the power plant on the next day according to the corresponding measured values of the ambient temperature and the steam supply pressure if the influence of the steam supply pressure and the ambient temperature predicted by the power plant on the unit output is greater than a preset threshold value;
and the obtaining unit is used for combining the obtained corresponding actually-measured thermal parameters with the predicted values of the environmental temperature and the steam supply pressure of the power plant on the next day to obtain the predicted thermal parameters of the power plant on the next day and the upper and lower output limit constraint conditions required by heat supply of the power plant.
The invention also provides a power generation plan making system of the cogeneration unit, which comprises a third acquisition module for acquiring the actual thermal parameters of the completed power plan, a calibration and assessment module for calculating the prediction accuracy of the power plant, and the power generation plan making device of the cogeneration unit.
The invention has the beneficial effects that: the method has the advantages that through unit steam supply experiment tests, a steam supply characteristic curve or a model reflecting the thermoelectric relation characteristics of the units is obtained, the thermal parameter requirements are predicted by a power plant for reporting the unit the next day, and the upper and lower output limit constraint conditions of the units are generated by combining the power grid constraint conditions, so that a scheduling mechanism of a power grid masters necessary heat supply unit information, the minimum unit number and power generation arrangement for heat supply of the power plant can be guaranteed, the peak regulation potential of a cogeneration power plant can be fully mined, and the frequency modulation and peak regulation performance of the system is improved; and the number of the heat supply units is reduced by calculating the minimum number of the heat supply units, so that the peak regulation capacity of the system is further improved. In addition, the heat load is reasonably distributed, the coal consumption of the whole plant power supply is reduced, the energy is saved, the emission is reduced, and the social benefit of environmental protection is achieved. In order to reduce the actual measurement and the data calculation workload, each variable interval is divided according to the frequency modulation and peak shaving performance of the system and the maximum allowable deviation and fluctuation requirements of the unit. In order to solve the problem that the upper limit and the lower limit of output are influenced by multivariable, the characteristic curve is discretized to obtain a thermodynamic characteristic group, the upper limit and the lower limit of the thermodynamic parameter demand are searched in the group by using prediction thermodynamic parameter demand and are corrected, and dimension disaster of multidimensional optimization of the thermodynamic parameters is avoided.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the structures shown in the drawings without creative efforts.
Fig. 1 is a flowchart of a method of an embodiment of a power generation plan making method of a cogeneration unit according to the present invention;
FIG. 2 is a flowchart of the method of S20;
fig. 3 is a functional block diagram of a power generation plan making apparatus of a cogeneration unit according to the present invention;
FIG. 4 is a detailed diagram of the functionality of the first acquisition module of the present invention;
the implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that, if directional indications (such as up, down, left, right, front, and back … …) are involved in the embodiment of the present invention, the directional indications are only used to explain the relative positional relationship between the components, the movement situation, and the like in a specific posture (as shown in the drawing), and if the specific posture is changed, the directional indications are changed accordingly.
In addition, if there is a description of "first", "second", etc. in an embodiment of the present invention, the description of "first", "second", etc. is for descriptive purposes only and is not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In addition, technical solutions between various embodiments may be combined with each other, but must be realized by a person skilled in the art, and when the technical solutions are contradictory or cannot be realized, such a combination should not be considered to exist, and is not within the protection scope of the present invention.
As shown in fig. 1 to 4, the present invention provides a method for making a power generation plan of a cogeneration unit, comprising the following steps:
s10, collecting thermal parameters actually measured by the heat supply of the unit, and establishing a characteristic model of the actually measured thermal parameters and the upper and lower limits of the output of the whole plant, wherein the thermal parameters comprise actually measured values of steam supply flow, ambient temperature and steam supply pressure;
s20, inputting thermal parameters predicted by the power plant the next day, and mapping the thermal parameters predicted by the power plant the next day to a characteristic model of the actually measured thermal parameters and the upper and lower limits of output of the whole plant, so as to obtain the predicted thermal parameters of the power plant the next day and the constraint conditions of the upper and lower limits of output required by heat supply of the power plant;
s30, acquiring steam supply capacity data of each unit according to the measured value of the steam supply flow of the unit and the steam supply parameter of each unit, and acquiring the minimum number of units required by heat supply of the power plant by combining the steam supply flow predicted by the power plant the next day;
s40, combining the predicted thermal parameters of the power plant obtained in S20 and the constraint conditions of the upper and lower output limits required by heat supply with the minimum number of units required by heat supply of the power plant obtained in S30 to generate constraint conditions of the upper and lower output limits of the heat supply unit and the whole plant;
s50, extracting the intersection of the upper and lower limit conditions of the output of the heat supply unit and the whole plant and the upper and lower limit conditions of the output of the power grid to generate a combined heat and power generation unit and the upper and lower limit conditions of the output of the whole plant;
and S60, making a power plant power generation plan according to the combined heat and power generation unit and the plant output upper and lower limit constraint conditions so as to participate in the next day of the load optimization distribution of the whole network.
In the embodiment of the invention, all the units of all the power plants are subjected to experimental tests, the measured values of the steam supply flow, the steam supply pressure, the environmental temperature and the like of the relevant units are collected, the characteristic relation curves of the measured thermodynamic parameters and the upper and lower output limits are obtained from the measured values, and the characteristic models of the measured thermodynamic parameters and the upper and lower output limits are established according to the characteristic relation curves. Mapping the predicted thermal parameters of the power plant reported the next day to the characteristic model to obtain a discretized power plant heat supply unit and output upper and lower limit constraint conditions; then obtaining the minimum number of units by the steam supply flow and steam supply parameters (steam supply parameters provided by factory design of the units) actually measured by the heat supply of the units; combining discretized power plant heat supply units, output upper and lower limit constraint conditions and the minimum number of units to obtain constraint conditions of the heat supply units and the output upper and lower limits of the whole plant; extracting the intersection of the heat supply unit and the plant output upper and lower limit constraint conditions and the power grid output upper and lower limit constraint conditions means extracting the output upper and lower limit constraint conditions formed by taking the minimum value of the heat supply unit and the plant output upper and lower limit constraint conditions as the upper limit and taking the maximum value of the heat supply unit and the plant output upper and lower limit constraint conditions as the lower limit; the output upper and lower limit constraint conditions of the power grid refer to output upper and lower limit constraint conditions determined by the power grid, and if the line load is too large, more power cannot be output; and (4) making a power generation plan of the power plant according to the formed cogeneration unit and the constraint conditions of the upper and lower output limits of the whole plant, and participating in the load optimization distribution of the whole network on the next day. After the next day plan is executed, acquiring actual thermodynamic parameters, calculating the prediction accuracy, and taking examination measures for the power plant with the too low prediction accuracy according to a corresponding government management method; and adopting different daily planning and arranging modes according to the electric quantity trading state of the units and the constraint conditions of the power grid.
Actually measuring the scene of steam supply flow: the selection of the test point of the actually measured steam supply flow is dense enough (according to GB8117.2, when the actually measured steam supply flow is selected at an interval of 10% of rated steam supply flow), the error of the upper limit and the lower limit of the output cannot exceed 2%, and the discretization is to map the predicted (or actual) steam supply flow (infinite) into the limited actually measured steam supply flow when the error of two target values of the upper limit and the lower limit of the output does not exceed 2%. For example: the predicted steam supply flow (medium pressure/low pressure) {54.3, 52.1}, and among all the measured steam supply flow test points, the measured steam supply flow point closest to the predicted steam supply flow is {50, 50}, so the predicted steam supply flow (medium pressure/low pressure) {54.3, 52.1} is processed to be {50, 50 }.
Preferably, the thermodynamic parameters further include: a steam supply pressure and an ambient temperature, the S20 including:
s201, dividing a network line by a characteristic model of actually measured thermal parameters and upper and lower output limits according to a certain percentage value of actually measured steam supply flow for heat supply of a unit, and generating a discretized actually measured thermal characteristic group;
s202, inputting thermal parameters predicted by the power plant the next day, matching the thermal parameters predicted by the power plant the next day with a characteristic group of actually-measured thermal, and obtaining corresponding actually-measured thermal parameters, measured values of environment temperature and steam supply pressure;
s203, if the influence of the steam supply pressure and the environment temperature predicted by the power plant on the unit output is larger than a preset threshold value, correcting the predicted values of the environment temperature and the steam supply pressure of the power plant according to the corresponding measured values of the environment temperature and the steam supply pressure;
s204, combining the obtained corresponding measured thermal parameters with the predicted values of the next day environmental temperature and the steam supply pressure of the power plant, and obtaining the next day predicted thermal parameters of the power plant and the upper and lower limit constraint conditions of output required by heat supply of the power plant.
In the embodiment of the invention, the characteristic model of the actually measured thermodynamic parameter and the upper and lower output limits is established by the characteristic relation curve of the actually measured thermodynamic parameter and the upper and lower output limits, and the characteristic relation curve of the actually measured thermodynamic parameter and the upper and lower output limits is a multivariable curve and is limited by the actually measured conditions, so that the actually measured heat supply cannot complete all variable combinations. Therefore, according to the system frequency modulation peak regulation performance and the maximum allowable deviation and fluctuation requirements of the unit, the characteristic model divides the network line according to a certain percentage value of actually measured steam supply flow rate of heat supply of the unit, and simultaneously, the influence of steam supply pressure and environment temperature on output is not more than a preset threshold value and is used as the maximum allowable deviation and fluctuation requirements of the unit to generate a discretized actually-measured thermal characteristic group. And mapping the thermal parameters predicted by the power plant on the next day to the characteristic model, searching in the characteristic group of the actually measured thermal power, acquiring the corresponding actually measured thermal parameters, the actually measured values of the environmental temperature and the steam supply pressure, correcting boundary conditions such as the steam supply pressure and the environmental temperature, and acquiring the thermal parameters predicted by the power plant on the next day and the constraint conditions of the upper and lower output limits required by heat supply of the power plant.
Preferably, the range of the certain percentage value of the rated steam supply flow of the actual measurement unit is 5-10%.
Preferably, the predetermined threshold is 2%.
The invention has the beneficial effects that: the method has the advantages that through unit steam supply experiment tests, a steam supply characteristic curve or a model reflecting the thermoelectric relation characteristics of the units is obtained, the thermal parameter requirements are predicted by a power plant for reporting the unit the next day, and the upper and lower output limit constraint conditions of the units are generated by combining the power grid constraint conditions, so that a scheduling mechanism of a power grid masters necessary heat supply unit information, the minimum unit number and power generation arrangement for heat supply of the power plant can be guaranteed, the peak regulation potential of a cogeneration power plant can be fully mined, and the frequency modulation and peak regulation performance of the system is improved; and the number of the heat supply units is reduced by calculating the minimum number of the heat supply units, so that the peak regulation capacity of the system is further improved. In addition, the heat load is reasonably distributed, the coal consumption of the whole plant power supply is reduced, the energy is saved, the emission is reduced, and the social benefit of environmental protection is achieved. In order to reduce the actual measurement and the data calculation workload, each variable interval is divided according to the frequency modulation and peak shaving performance of the system and the maximum allowable deviation and fluctuation requirements of the unit. In order to solve the problem that the upper limit and the lower limit of output are influenced by multivariable, the characteristic curve is discretized to obtain a thermodynamic characteristic group, the upper limit and the lower limit of the thermodynamic parameter demand are searched in the group by using prediction thermodynamic parameter demand and are corrected, and dimension disaster of multidimensional optimization of the thermodynamic parameters is avoided.
The invention also provides a power generation plan making device of the cogeneration unit, which is used for realizing the power generation plan making method of the cogeneration unit. This kind of cogeneration unit power generation plan makes device includes:
the building module 10 is used for collecting the actually measured thermal parameters of the heat supply of the unit, and building a characteristic model of the actually measured thermal parameters and the upper and lower limits of the output of the whole plant, wherein the thermal parameters comprise steam supply flow;
the first obtaining module 20 is configured to input thermal parameters predicted the next day of the power plant, and map the thermal parameters predicted the next day of the power plant to a characteristic model of the actually measured thermal parameters and upper and lower limits of output of the whole plant, so as to obtain predicted thermal parameters of the next day of the power plant and constraint conditions of the upper and lower limits of output required by heat supply of the power plant;
the second obtaining module 30 is configured to obtain heat supply capacity data of each unit from the measured values of the steam supply flow rates of the units and the steam supply parameters of the units, and obtain the minimum number of units required by heat supply of the power plant in combination with the steam supply flow rate predicted the next day of the power plant;
the first generation module 40 is configured to combine the next-day predicted thermal parameters of the power plant and the constraint conditions of the upper and lower output limits required by heat supply, which are acquired by the first acquisition module, with the minimum number of units required by heat supply of the power plant, which is acquired by the second acquisition module, to generate constraint conditions of the upper and lower output limits of the heat supply unit and the whole plant;
the second generation module 50 is used for extracting the intersection of the heat supply unit and the plant output upper and lower limit constraint conditions and the power grid output upper and lower limit constraint conditions to generate the cogeneration unit and the plant output upper and lower limit constraint conditions;
and the making module 60 is used for making a power plant power generation plan according to the cogeneration unit and the upper and lower limit constraint conditions of the output of the whole plant so as to participate in the load optimization distribution of the whole network in the next day.
Preferably, the measured values of the ambient temperature and the steam supply pressure, the first obtaining module 20 includes:
the generating unit 201 is configured to divide a network line by using the characteristic models of the actually measured thermal parameters and the upper and lower output limits according to a certain percentage value of the rated steam supply flow of the actually measured unit, and generate a discretized actually measured thermal characteristic group;
the matching unit 202 is used for inputting thermal parameters predicted by the power plant the next day, matching the thermal parameters predicted by the power plant the next day with the actually-measured thermal characteristic group, and acquiring corresponding actually-measured thermal parameters, and actually-measured values of the environmental temperature and the steam supply pressure;
the correcting unit 203 is used for correcting the predicted values of the ambient temperature and the steam supply pressure of the power plant on the next day according to the corresponding measured values of the ambient temperature and the steam supply pressure if the influence of the steam supply pressure and the ambient temperature predicted by the power plant on the unit output is greater than a preset threshold value;
the obtaining unit 204 is configured to combine the obtained corresponding actually measured thermal parameters with the predicted values of the environmental temperature and the steam supply pressure of the power plant the next day to obtain predicted thermal parameters of the power plant the next day and the upper and lower output limit constraints required by the power plant to supply heat.
The invention also provides a power generation plan making system of the cogeneration unit, which comprises a third acquisition module for acquiring the actual thermal parameters of the completed power plan, a calibration and assessment module for calculating the prediction accuracy of the power plant, and the power generation plan making device of the cogeneration unit, so as to acquire the power plan.
The system comprises a cogeneration unit power generation plan making device, an electric quantity execution plan, a third acquisition module, a calibration and assessment module and a power plant, wherein the cogeneration unit power generation plan making device acquires an electric quantity execution plan, then acquires the electric quantity transaction state of the unit, acquires actual thermal parameters through the third acquisition module after the next day plan is executed, calculates the accuracy of predicted thermal parameters reported by the power plant the next day through the calibration and assessment module, and takes assessment measures for the power plant with too low prediction accuracy according to corresponding government management methods.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention, and all modifications and equivalents of the present invention, which are made by the contents of the present specification and the accompanying drawings, or directly/indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (5)
1. A method for making a power generation plan of a cogeneration unit is characterized by comprising the following steps:
s10, collecting thermal parameters of the unit for heat supply actual measurement, and establishing a characteristic model of the actual measurement thermal parameters and the upper and lower limits of the plant output, wherein the thermal parameters comprise steam supply flow;
s20, inputting thermal parameters predicted by the power plant the next day, and mapping the thermal parameters predicted by the power plant the next day to a characteristic model of actually measured thermal parameters and upper and lower limits of output of the whole plant, so as to obtain the thermal parameters predicted by the power plant the next day and constraint conditions of the upper and lower limits of output required by heat supply of the power plant, wherein the thermal parameters further comprise actual measured values of environment temperature and steam supply pressure, and S20 comprises:
s201, dividing a network line by a characteristic model of actually measured thermal parameters and upper and lower output limits according to a certain percentage value of actually measured steam supply flow for heat supply of a unit, and generating a discretized actually measured thermal characteristic group;
s202, inputting thermal parameters predicted by the power plant the next day, matching the thermal parameters predicted by the power plant the next day with a characteristic group of actually-measured thermal, and obtaining corresponding actually-measured thermal parameters, measured values of environment temperature and steam supply pressure;
s203, if the influence of the steam supply pressure and the environment temperature predicted by the power plant on the unit output is larger than a preset threshold value, correcting the predicted values of the environment temperature and the steam supply pressure of the power plant according to the corresponding measured values of the environment temperature and the steam supply pressure;
s204, combining the obtained corresponding actually-measured thermal parameters with the predicted values of the next-day environmental temperature and the steam supply pressure of the power plant to obtain the next-day predicted thermal parameters of the power plant and the upper and lower limit constraint conditions of output required by heat supply of the power plant;
s30, acquiring heat supply capacity data of each unit according to the measured value of the steam supply flow of the unit and the steam supply parameter of each unit, and acquiring the minimum number of units required by heat supply of the power plant by combining the steam supply flow predicted by the power plant on the next day;
s40, combining the predicted thermal parameters of the power plant obtained in S20 and the constraint conditions of the upper and lower output limits required by heat supply with the minimum number of units required by heat supply of the power plant obtained in S30 to generate constraint conditions of the upper and lower output limits of the heat supply unit and the whole plant;
s50, extracting the intersection of the upper and lower limit conditions of the output of the heat supply unit and the whole plant and the upper and lower limit conditions of the output of the power grid to generate a combined heat and power generation unit and the upper and lower limit conditions of the output of the whole plant;
and S60, making a power plant power generation plan according to the combined heat and power generation unit and the plant output upper and lower limit constraint conditions so as to participate in the next day of the load optimization distribution of the whole network.
2. The cogeneration unit power generation plan making method of claim 1, wherein the certain percentage value of the rated steam supply flow of the measured unit is in the range of 5-10%.
3. A cogeneration unit power generation planning method according to claim 1, wherein said predetermined threshold is 2%.
4. A cogeneration unit power generation plan making device is characterized by comprising:
the system comprises an establishing module, a data processing module and a data processing module, wherein the establishing module is used for acquiring the actually measured thermal parameters of the heat supply of the unit and establishing a characteristic model of the actually measured thermal parameters and the upper and lower limits of the output of the whole plant, and the thermal parameters comprise steam supply flow;
the first obtaining module is used for inputting thermal parameters predicted by the power plant the next day, mapping the thermal parameters predicted by the power plant the next day to a characteristic model of actually measured thermal parameters and upper and lower output limits of the whole plant, and thus obtaining the thermal parameters predicted by the power plant the next day and constraint conditions of the upper and lower output limits required by heat supply of the power plant, wherein the thermal parameters further comprise actual measured values of ambient temperature and steam supply pressure, and the first obtaining module comprises:
the generating unit is used for dividing a network line by the characteristic models of the actually measured thermal parameters and the upper and lower output limits according to a certain percentage value of rated steam supply flow of the actually measured unit to generate a discretized actually measured thermal characteristic group;
the matching unit is used for inputting thermal parameters predicted by the power plant the next day, matching the thermal parameters predicted by the power plant the next day with the characteristic group of the actually measured thermal, and acquiring corresponding actually measured thermal parameters, measured values of the environment temperature and the steam supply pressure;
the correction unit is used for correcting the predicted values of the ambient temperature and the steam supply pressure of the power plant on the next day according to the corresponding measured values of the ambient temperature and the steam supply pressure if the influence of the steam supply pressure and the ambient temperature predicted by the power plant on the unit output is greater than a preset threshold value;
the acquisition unit is used for combining the acquired corresponding actually-measured thermal parameters with the predicted values of the environmental temperature and the steam supply pressure of the power plant on the next day to acquire the predicted thermal parameters of the power plant on the next day and the upper and lower output limit constraint conditions required by heat supply of the power plant;
the second acquisition module is used for acquiring the heat supply capacity data of each unit according to the measured value of the steam supply flow of the unit and the steam supply parameter of each unit, and acquiring the minimum number of units required by the heat supply of the power plant by combining the steam supply flow predicted the next day of the power plant;
the first generation module is used for combining the next-day predicted thermal parameters of the power plant acquired by the first acquisition module and the constraint conditions of the upper and lower output limits required by heat supply of the power plant acquired by the second acquisition module with the minimum number of units required by heat supply of the power plant acquired by the second acquisition module to generate constraint conditions of the heat supply units and the upper and lower output limits of the whole plant;
the second generation module is used for extracting the intersection of the heat supply unit and the plant output upper and lower limit constraint conditions and the power grid output upper and lower limit constraint conditions to generate the cogeneration unit and the plant output upper and lower limit constraint conditions;
and the making module is used for making a power plant power generation plan according to the combined heat and power generation unit and the upper and lower limit constraint conditions of the output of the whole plant so as to participate in the next day load optimization distribution of the whole network.
5. A power generation planning system of a cogeneration unit, comprising a third acquisition module for acquiring actual thermal parameters of power planning completion, a calibration and assessment module for calculating prediction accuracy of a power plant, and further comprising a power generation planning device of the cogeneration unit according to claim 4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710964789.6A CN107871181B (en) | 2017-10-17 | 2017-10-17 | Method, device and system for making power generation plan of cogeneration unit |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710964789.6A CN107871181B (en) | 2017-10-17 | 2017-10-17 | Method, device and system for making power generation plan of cogeneration unit |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN107871181A CN107871181A (en) | 2018-04-03 |
| CN107871181B true CN107871181B (en) | 2020-02-04 |
Family
ID=61752501
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710964789.6A Active CN107871181B (en) | 2017-10-17 | 2017-10-17 | Method, device and system for making power generation plan of cogeneration unit |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107871181B (en) |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110580663B (en) * | 2019-09-24 | 2023-05-12 | 国网辽宁省电力有限公司沈阳供电公司 | Calculation method for upper limit of power generation output of cogeneration unit |
| CN110986155A (en) * | 2019-12-05 | 2020-04-10 | 深圳供电局有限公司 | Heat supply data processing method and device |
| CN113112095A (en) * | 2021-05-11 | 2021-07-13 | 杭州英集动力科技有限公司 | Multi-mode multi-heat supply unit load real-time optimization scheduling method and management system |
| CN113205224B (en) * | 2021-05-17 | 2022-06-14 | 浙江英集动力科技有限公司 | Primary frequency modulation method of cogeneration unit based on heat storage of heat supply network |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106447152A (en) * | 2016-06-21 | 2017-02-22 | 中国南方电网有限责任公司电网技术研究中心 | Energy center-based power-gas-heat system co-scheduling method and system |
| CN107248017B (en) * | 2017-07-26 | 2020-08-04 | 广东电网有限责任公司电力调度控制中心 | Real-time power generation plan optimization method considering cogeneration |
-
2017
- 2017-10-17 CN CN201710964789.6A patent/CN107871181B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN107871181A (en) | 2018-04-03 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107871181B (en) | Method, device and system for making power generation plan of cogeneration unit | |
| US9118182B2 (en) | Power curve correlation system | |
| US9829880B2 (en) | System and method for modelling load in an electrical power network | |
| EP3576242A1 (en) | Energy operation apparatus, method, and system | |
| CN115355447B (en) | Intelligent gas valve station pressure regulating optimization method and system based on Internet of things | |
| Hou et al. | Determination of transient stability constrained interface real power flow limit using trajectory sensitivity approach | |
| US20170132538A1 (en) | Plant model creating device, plant model creating method, and non-transitory computer readable storage medium | |
| Zhang et al. | Multivariate and multimodal wind distribution model based on kernel density estimation | |
| US11215375B2 (en) | Building control system with heat disturbance estimation and prediction | |
| CN104517238A (en) | Thermoelectricity combined production machine set intelligent energy consumption analysis system | |
| CN103887813A (en) | Control method of wind power system operation based on wind power prediction uncertainty | |
| CN105119282A (en) | On-line calculation system and method for theoretical line loss of power grid | |
| CN103577647A (en) | Evaluation analysis method and device of steam turbine and steam turbine speed adjusting system model | |
| JP6046530B2 (en) | Maximum power generation prediction system | |
| Alekseiuk | Improving the efficiency of the three-stage technique of mathematical model identification of complex thermal power equipment | |
| JP2016537729A (en) | Method, system, and computer program product for analyzing generation processes and / or process engineering processes and / or process steps in a plant | |
| CN103337040A (en) | Wind electricity generation scheduling compilation system on basis of wind electricity volatility, and compilation method thereof | |
| Hou et al. | Load modeling practice in a smart grid environment | |
| Soares et al. | Optimal generation and transmission expansion planning addressing short-term constraints with co-optimization of energy and reserves | |
| CN212846878U (en) | Marginal cost measuring and calculating system | |
| Čarnogurská et al. | Modeling the Profit from Hydropower Plant Energy Generation Using Dimensional Analysis. | |
| JP2016213933A (en) | Apparatus and method for supplying supply facilities of micro grid or smart grid | |
| Ping et al. | The reaserch of users-transformer relationship verification method based on data-driven | |
| CN109657332B (en) | Method and system for decoupling electromagnetic transient automatic modeling of large-scale power grid | |
| CN105447598A (en) | Error correction model based load prediction apparatus and method in power system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |