CN111313415A - Load distribution method, system and device for thermal power plant and heat supply unit - Google Patents
Load distribution method, system and device for thermal power plant and heat supply unit Download PDFInfo
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Abstract
The invention discloses a heat supply unit load optimization distribution method and system, which are used for obtaining a whole plant economic function P by combining power grid examination cost, heat load cost and electric load cost under AGC (automatic gain control) precision data of power grid examinationsAnd according to a plant-wide economic function PsThe minimum value of the total heat distribution method is obtained, the distribution of the generated energy W (i) of each unit in unit time and the heat supply Q (i) of each unit in unit time is obtained, so that the mode of distributing the electric load and the heat load of the whole plant among the units under different working conditions is determined, the power grid check loss is reduced, and the economic benefit of the whole plant is improved. The invention also provides a heat supply unit load optimization distribution device and a thermal power plant.
Description
Technical Field
The invention relates to the technical field of power load distribution, in particular to a method, a system and a device for optimally distributing loads of a heat supply unit and a thermal power plant.
Background
The thermal power plant is responsible for delivering two kinds of energy with different qualities, namely heat energy and electric energy, to users, the total delivery energy amount is determined by the requirements of the users, the power plant scheduling adjusts the generating capacity of a unit and the heating steam extraction amount according to the requirements of the users, and different operation schemes lead to different fuel consumption of the power plant. On the premise of safe and reliable operation, an optimal load distribution scheme is determined in all feasible schemes, so that the total fuel consumption of the whole plant can be minimized on the basis that the thermal power plant meets the requirements of thermal and electric loads at the same time. Because the thermal power plant produces two products with different quality, namely heat energy and electric energy, at the same time, two different production modes, namely cogeneration and separate production, exist sometimes. Therefore, load distribution optimization of thermal power plants has certain complications with respect to condensing power plants.
The main thermal economic indicators of the thermal power plant are relatively complex and are shown as follows: the cogeneration steam flow simultaneously produces two forms of energy, the two forms of energy have different qualities; if the heat supply parameters are different, the grade of the heat energy is also different; thermal power plants also sometimes have sub-production of electricity or sub-production of heat. The thermal economic index of the thermal power plant can reflect the efficiency of the energy conversion process, and meanwhile, the economic comparison between the heat supply units and the thermal power plant can be realized. The standard coal consumption rate of the comprehensive power generation of the whole plant is selected as the total heat economic index, the economy of power generation and heat supply can be considered, and the method can be compared with other thermal power plants.
The conventional scheme for distributing the heat supply quantity and the electric load of multiple units is that the comprehensive power generation standard coal consumption rate of the whole plant is generally selected as a total heat economic index, the total heat consumption of a thermal power plant is distributed to two types of thermoelectricity, and the itemized heat economic indexes of a heat supply unit and the thermal power plant are calculated, wherein the itemized thermoelectricity thermal economic indexes mainly comprise ① heat economic indexes in the aspect of power generation, namely power generation heat efficiency, power generation heat consumption rate and power generation standard coal consumption rate, ② heat economic indexes in the aspect of heat supply, namely heat supply heat efficiency and heat supply standard coal consumption rate, a corresponding mathematical model is established by taking the comprehensive standard coal consumption rate of the whole plant as the total heat economic index, and on the premise of ensuring the safe operation of the unit, a target function is established around the minimum coal consumption of the whole plant according to the maximum load quantity of the energy load of the unit and the.
Only including the electricity generation heat economy index and the heat supply heat economy index to reach the minimum coal consumption, and causing the phenomenon that a single unit carries more heat load. Because for a single unit, under the same electric load, the larger the heat load is, the lower the coal consumption of power generation. Therefore, the unit has a reduced electric load regulation rate and a reduced regulation range due to more heat loads. The objective function of the scheme is that the coal consumption of the whole plant is minimum, but the situation that the AGC precision is high due to reduction of the unit electrical load regulation rate and reduction of the regulation range is not considered, so that the power grid examination probability is increased, and the power grid examination cost is increased. The highest economic benefit of the whole plant cannot be achieved.
Disclosure of Invention
In view of the above, a first object of the present invention is to provide a method for optimally distributing load of a heat supply unit, so as to solve the problem that when the generation heat index and the heating heat index of the existing unit reach the minimum coal consumption, the heat load of a single unit is increased, and the evaluation cost of a power grid is increased, so that the economic benefit of the whole plant cannot reach the optimum. The second purpose of the invention is to provide a method and a device for optimally distributing the load of a heat supply unit, and the third purpose of the invention is to provide a thermal power plant.
In order to achieve the first object, the invention provides the following technical scheme:
a heating unit load optimal distribution method comprises the following steps:
acquiring coal consumption data of each unit corresponding to the AGC precision data of each unit;
and calculating according to the coal consumption data of each group to obtain a unit power generation standard coal consumption rate function Ee(i) Standard coal consumption rate function E for heat supply of unith(i) And the current standard coal price are respectively obtained to obtain a unit power generation standard coal consumption rate price function Pe(i) Price function P of coal consumption rate of heat supply standard of unith(i) Wherein i is a unit number;
obtaining power grid examination cost under different AGC precision data, and performing data processing to obtain a relation function D of the power grid examination cost and the AGC precision dataagc(i) Wherein i is a unit number;
obtaining economic function of whole plant
Wherein, Pe(i) Marking a coal consumption rate price function for unit power generation;
w (i) is the generating capacity of the unit in unit time;
Ph(i) providing a standard coal consumption rate price function for the unit;
q (i) is the heat supply amount of the unit in unit time;
Dagc(i) the relation function of the power grid examination cost and the AGC precision data is obtained;
according to the economic function P of the whole plantsThe distribution of the generated power W (i) of the unit in unit time and the heat supply Q (i) of the unit in unit time of each unit is obtained according to the minimum value of the total heat supply quantity of the units.
Preferably, the obtaining of the coal consumption data of each unit corresponding to each unit according to the AGC accuracy data of each unit specifically includes:
and calculating the AGC precision data by acquiring AGC precision time sequence data or according to historical data, and acquiring each group of unit coal consumption data corresponding to the AGC precision data at the current moment from a preset database.
Preferably, theAccording to the economic function P of the whole plantsBefore the minimum value of (a) is obtained to distribute the power generation w (i) of each unit in unit time and the heat supply q (i) of each unit in unit time, the method further comprises:
heat supply Q of the whole plant in the current unit timefAnd the power generation capacity W of the whole plant in unit timefUnder the condition of meeting the constraint condition of unit performance, the economic function P of the whole plant is subjected tosOptimizing and solving the economic function P of the whole plantsMinimum value of (d);
the unit time heat supply quantity Q of the whole plantfThe sum of the heat supply Q (i) of the units in unit time;
the unit time power generation capacity W of the whole plantfIs the sum of the generated energy W (i) of the unit in unit time.
Preferably, said pair of said plant wide economic functions PsThe optimization is specifically carried out by a population algorithm/genetic algorithm/gradient descent/Lagrange multiplier/golden section method.
Preferably, the plant wide economic function PsAnd may be embodied as a static function, a timing function, a difference equation, or a transfer function.
Preferably, the unit power generation standard coal consumption rate function E calculated according to each group of unit coal consumption datae(i) Standard coal consumption rate function E for heat supply of unith(i) The method specifically comprises the following steps:
performing historical data fitting or intelligent algorithm training according to the coal consumption data of each set of the unit to obtain a unit power generation standard coal consumption rate function Ee(i) And unit heat supply standard coal consumption rate function Eh(i)。
Preferably, the power grid examination cost under different AGC precision data is obtained, and data processing is carried out to obtain a relation function D of the power grid examination cost and the AGC precision dataagc(i) The method specifically comprises the following steps:
obtaining power grid examination cost under different AGC precision data, and performing historical data fitting or intelligent algorithm to obtain a relation function D of the power grid examination cost and the AGC precision dataagc(i)。
The invention also provides a system for optimizing and distributing the load of the heat supply unit, which comprises the following components:
the unit coal consumption data acquisition module is used for acquiring the corresponding unit coal consumption data of each group according to the AGC precision data of each group;
a price function calculation module for calculating the standard coal consumption rate function E of the unit power generation according to the coal consumption data of each unite(i) Standard coal consumption rate function E for heat supply of unith(i) And the current standard coal price are respectively obtained to obtain a unit power generation standard coal consumption rate price function Pe(i) Price function P of coal consumption rate of heat supply standard of unith(i) Wherein i is a unit number;
the relation function calculation module of the power grid examination expense and the AGC precision data obtains the power grid examination expense under different AGC precision data and carries out data processing to obtain a relation function D of the power grid examination expense and the AGC precision dataagc(i) Wherein i is a unit number;
the economic function calculation module of the whole plant obtains the economic function of the whole plant
Wherein, Pe(i) Marking a coal consumption rate price function for unit power generation;
w (i) is the generating capacity of the unit in unit time;
Ph(i) providing a standard coal consumption rate price function for the unit;
q (i) is the heat supply amount of the unit in unit time;
Dagc(i) the relation function of the power grid examination cost and the AGC precision data is obtained;
a load distribution module for distributing the load according to a plant-wide economic function PsThe distribution of the generated power W (i) of the unit in unit time and the heat supply Q (i) of the unit in unit time of each unit is obtained according to the minimum value of the total heat supply quantity of the units.
The invention also provides a heat supply unit load optimization distribution device, which comprises a memory and a processor, wherein:
the memory is used for storing a computer program;
the processor is configured to execute the computer program to implement the method for optimally distributing the load of the heating unit according to any one of the embodiments.
The invention provides a thermal power plant, which comprises a heat supply unit load optimization distribution device according to the embodiment.
The invention provides a load optimization distribution method for heat supply units, which comprises the steps of obtaining coal consumption data of each unit corresponding to AGC precision data of each unit; generating standard coal consumption rate function E of each unit calculated according to coal consumption data of each unite(i) Standard coal consumption rate function E for heat supply of unith(i) And the current standard coal price are respectively obtained to obtain a unit power generation standard coal consumption rate price function Pe(i) Price function P of coal consumption rate of heat supply standard of unith(i) Wherein i is a unit number; obtaining power grid examination cost under different AGC precision data, and performing data processing to obtain a relation function D of the power grid examination cost and the AGC precision dataagc(i) Wherein i is a unit number; obtaining economic function of whole plant
Wherein, Pe(i) Marking a coal consumption rate price function for unit power generation; w (i) is the generating capacity of the unit in unit time; ph(i) Providing a standard coal consumption rate price function for the unit; q (i) is the heat supply amount of the unit in unit time; dagc(i) The relation function of the power grid examination cost and AGC precision data is obtained; according to the economic function P of the whole plantsThe distribution of the generated power W (i) of the unit in unit time and the heat supply Q (i) of the unit in unit time of each unit is obtained according to the minimum value of the total heat supply quantity of the units.
By applying the heat supply unit load optimization distribution method and system provided by the invention, the whole plant economic function P is obtained by combining the power grid examination cost, the heat load cost and the electric load cost under the power grid examination AGC (automatic gain control) precision datasAnd according to a plant-wide economic function PsThe minimum value of the total heat capacity of the units is obtained, and the distribution of the generated energy W (i) of the units in unit time and the heat supply Q (i) of the units in unit time of each unit is obtained to determine the distribution of the generated energy W (i) and the heat supply Q (i) of the units in unit time under different working conditionsThe mode of distributing the whole plant electric load and the heat load among all the units reduces the power grid examination loss and improves the whole plant economic benefit. The invention also provides a system and a device for optimizing and distributing the load of the heat supply unit and a thermal power plant.
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 drawings without creative efforts.
Fig. 1 is a schematic flow chart of a method for optimally distributing load of a heating unit according to an embodiment of the present invention.
Detailed Description
The embodiment of the invention discloses a load optimization distribution method for a heat supply unit, which aims to solve the problem that when the power generation heat index and the heat supply heat index of the existing unit reach the minimum coal consumption, the heat load of the single unit is increased, and the assessment cost of a power grid is increased, so that the economic benefit of the whole plant cannot reach the optimum.
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.
Referring to fig. 1, fig. 1 is a schematic flow chart of a method for optimally distributing load of a heating unit according to an embodiment of the present invention.
In a specific embodiment, the method for optimally distributing the load of the heating unit provided by the invention comprises the following steps:
s11: acquiring coal consumption data of each unit corresponding to the AGC precision data of each unit;
and according to AGC precision data of each unit, acquiring data which affect the coal consumption performance of the unit and are related to the electric load, the heat supply load, the steam extraction flow of each section, the heat supply pressure of each section, the ambient temperature and the like at corresponding time points from a preset database or other production systems or data sources according to the AGC precision data time points, and forming time sequence data together with the AGC precision data.
The data can be judged according to a preset rule or static pressure, whether the coal consumption data of each unit corresponding to each time is a bad value, a dead value, an invalid value and the like is determined, the data are removed, and the residual data are effective values; the effective values form a time-series unit parameter sample library, and the sample library can be inquired according to time, or according to electric load, heat supply flow (accumulated average flow and instantaneous flow), ambient temperature, system operation mode and the like, or through the combination mode, and can be set according to needs.
S12: generating standard coal consumption rate function E of each unit calculated according to coal consumption data of each unite(i) Standard coal consumption rate function E for heat supply of unith(i) And the current standard coal price are respectively obtained to obtain a unit power generation standard coal consumption rate price function Pe(i) Price function P of coal consumption rate of heat supply standard of unith(i) Wherein i is a unit number;
the coal consumption of each historical working condition is obtained by calculating a thermodynamic system, the steam extraction coefficient of each section of a regenerative system and each thermal economic index of each unit, and a performance characteristic function unit electricity generation standard coal consumption rate function E of each unit is obtained by adopting a fitting or other function calculation methode(i) And unit heat supply standard coal consumption rate function Eh(i) In that respect Wherein, in one embodiment, Ee(i) The unit is g/kW.h, Eh(i) The unit is g/Gj, and the price is converted into a price function P according to the current price of the marked coale(i) And Ph(i) Wherein P ise(i) Unit is yuan/kw.h, Ph(i) The unit is yuan/guitar.
S13: obtaining power grid examination cost under different AGC precision data, and performing data processing to obtain a relation function D of the power grid examination cost and the AGC precision dataagc(i) Wherein, in the step (A),i is a unit number;
because the heat supply unit has different electric load regulation rates under different heat loads and different corresponding power grid examination cost, in one embodiment, the relation function D of the power grid examination cost and AGC precision data is fitted according to historical dataagc(i) The unit is element/unit time.
After the electricity and heat load distribution is carried out on the unit, a part of steam quantity of the unit is used for heat supply, so that the generating capacity of the unit is influenced, the more heat supply is, the weaker the generating and adjusting capacity of the unit is, the influence of heat supply is caused, the influence is caused on the rate of lifting the electricity load and the upper limit and the lower limit of adjusting the electricity load respectively, the AGC (automatic gain control) instruction rate of responding to power grid dispatching is further reduced, and the expense of a power grid checking power plant is influenced.
S14: obtaining economic function of whole plant
Wherein, Pe(i) Marking a coal consumption rate price function for unit power generation;
w (i) is the generating capacity of the unit in unit time;
Ph(i) providing a standard coal consumption rate price function for the unit;
q (i) is the heat supply amount of the unit in unit time;
Dagc(i) the relation function of the power grid examination cost and AGC precision data is obtained;
s15: according to the economic function P of the whole plantsThe distribution of the generated power W (i) of the unit in unit time and the heat supply Q (i) of the unit in unit time of each unit is obtained according to the minimum value of the total heat supply quantity of the units.
In one embodiment, the plant wide economic function PsThe unit is element/unit time; w (i) in kilowatts, Q (i) in gigajoules per unit time, Pe(i) Unit is yuan/kw.h, Ph(i) Unit is Yuan/Jijiao, Dagc(i) Is a unit of time. In other embodiments, the plant-wide economic function P may also be usedsAnd converting into a measuring mode such as coal consumption or heat consumption.
Economic function P of whole plantsThe smaller the sum of the cost corresponding to the coal consumption and the assessment expense of the power grid is, the lower the sum of the power generation amount W (i) of each unit in unit time and the heat supply amount Q (i) of each unit in unit time is under the working condition.
In other embodiments, the cost of the electrical load may be expressed in terms of heat or coal consumption, and variations of the plant-wide economic function are also within the scope of the invention.
By applying the heat supply unit load optimization distribution method and system provided by the invention, the whole plant economic function P is obtained by combining the power grid examination cost, the heat load cost and the electric load cost under the power grid examination AGC (automatic gain control) precision datasAnd according to a plant-wide economic function PsThe minimum value of the total heat distribution method is obtained, the distribution of the generated energy W (i) of each unit in unit time and the heat supply Q (i) of each unit in unit time is obtained, so that the mode of distributing the electric load and the heat load of the whole plant among the units under different working conditions is determined, the power grid check loss is reduced, and the economic benefit of the whole plant is improved.
Specifically, the method for acquiring the coal consumption data of each unit corresponding to each unit according to the AGC precision data of each unit specifically includes:
and acquiring AGC precision time sequence data or calculating AGC precision data according to historical data, and acquiring coal consumption data of each unit corresponding to the current time of the AGC precision data from a preset database.
The predetermined database may include an SIS system or other production system or data source.
Further, according to the plant economic function PsBefore the minimum value of (a) is obtained the distribution of the generated energy W (i) of the unit in unit time and the heat supply Q (i) of the unit in unit time of each unit, the method further comprises:
heat supply Q of the whole plant in the current unit timefAnd the power generation capacity W of the whole plant in unit timefFor economic function P of whole plant under the constraint condition of unit performancesOptimizing and solving the economic function P of the whole plantsMinimum value of (d);
heat supply Q of the whole plant per unit timefThe sum of the heat supply Q (i) of the units in unit time;
whole plant in unit timeElectric power generation amount WfIs the sum of the generated energy W (i) of the unit in unit time.
Economic function P of whole plantsThe smaller the sum of the coal consumption cost and the power grid assessment cost is, the lower the sum is.
In one embodiment, the economic function P of the whole plant is adjustedsThe optimization is specifically performed by a group algorithm/genetic algorithm/gradient descent/Lagrange multiplier/golden section method, and in other embodiments, the optimization can be performed by other methods as required, so that the total benefit of the unit participating in the analysis of the electrical load and the thermal load is optimal.
Wherein, the plant economic function PsAnd may be embodied as a static function, a timing function, a difference equation, or a transfer function. The period of the unit time includes, but is not limited to, time periods of hours, days, weeks, etc.
In one embodiment, the unit power generation standard coal consumption rate function E is obtained by calculation according to the unit coal consumption data of each unite(i) Standard coal consumption rate function E for heat supply of unith(i) The method specifically comprises the following steps:
historical data fitting or intelligent algorithm training is carried out according to the coal consumption data of each unit to obtain a unit power generation standard coal consumption rate function Ee(i) And unit heat supply standard coal consumption rate function Eh(i) In that respect Meanwhile, the unit generates standard coal consumption rate function Ee(i) Standard coal consumption rate function E for heat supply of unith(i) It may also be left alone as a price function or unified into other units or a different unit may be chosen.
Similarly, acquiring power grid examination cost under different AGC (automatic gain control) precision data, and performing data processing to obtain a relation function D of the power grid examination cost and the AGC precision dataagc(i) The method specifically comprises the following steps:
obtaining power grid examination cost under different AGC precision data, and performing historical data fitting or intelligent algorithm to obtain a relation function D of the power grid examination cost and the AGC precision dataagc(i) And AGC precision data can be obtained according to different assessment modes in different regions.
The method comprises the steps of obtaining an effective data sample base which can represent the whole working condition of a unit through historical data obtaining, processing and cleaning, sequencing the sample base in a time sequence, and inquiring, screening and filtering through various conditions.
Aiming at the determination of the power plant electricity and heat load distribution scheme, the method fully considers the influence of AGC precision on the unit regulation rate and the regulation range, thereby generating the current situation of the cost of power grid examination. In the traditional load distribution scheme, the comprehensive coal consumption of the whole plant is taken as an objective function, and the influence on the unit performance is neglected, so that the optimal comprehensive benefit cannot be achieved. The price is used for measuring the electric load cost, the heat load cost and the power grid examination cost, the objective function is determined to be the sum of the electric load cost, the heat load cost and the power grid examination cost, and the load distribution scheme is determined more fully, reasonably and scientifically.
Based on the method embodiment, the invention also provides a system, a device and a thermal power plant for load optimal distribution of the heat supply unit, and the heat supply unit optimal distribution system, the device and the thermal power plant which are described below can be correspondingly referred to with the heat supply unit load optimal distribution method which is described above.
The embodiment of the invention provides a heat supply unit load optimization distribution system, which comprises:
the system comprises:
the unit coal consumption data acquisition module is used for acquiring the corresponding unit coal consumption data of each group according to the AGC precision data of each group;
a price function calculation module for calculating the standard coal consumption rate function E of the unit power generation according to the coal consumption data of each unite(i) Standard coal consumption rate function E for heat supply of unith(i) And the current standard coal price are respectively obtained to obtain a unit power generation standard coal consumption rate price function Pe(i) Price function P of coal consumption rate of heat supply standard of unith(i) Wherein i is a unit number;
the relation function calculation module of the power grid examination cost and the AGC precision data obtains the power grid examination cost under different AGC precision data, and performs data processing to obtain a relation function D of the power grid examination cost and the AGC precision dataagc(i) Wherein i is a unit number;
the economic function calculation module of the whole plant obtains the economic function of the whole plant
Wherein, Pe(i) Marking a coal consumption rate price function for unit power generation;
w (i) is the generating capacity of the unit in unit time;
Ph(i) providing a standard coal consumption rate price function for the unit;
q (i) is the heat supply amount of the unit in unit time;
Dagc(i) the relation function of the power grid examination cost and AGC precision data is obtained;
a load distribution module for distributing the load according to a plant-wide economic function PsThe distribution of the generated power W (i) of the unit in unit time and the heat supply Q (i) of the unit in unit time of each unit is obtained according to the minimum value of the total heat supply quantity of the units.
The embodiment of the invention provides a heat supply unit load optimization distribution device, which comprises a memory and a processor, wherein:
a memory for storing a computer program;
and the processor is used for executing a computer program to realize the heating unit load optimization distribution method in any one of the above embodiments.
An embodiment of the present invention provides a thermal power plant, including a heat supply unit load optimization distribution device as described in any of the above embodiments.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
Claims (10)
1. A heating unit load optimization distribution method is characterized by comprising the following steps:
acquiring coal consumption data of each unit corresponding to the AGC precision data of each unit;
and calculating according to the coal consumption data of each group to obtain a unit power generation standard coal consumption rate function Ee(i) Standard coal consumption rate function E for heat supply of unith(i) And the current standard coal price are respectively obtained to obtain a unit power generation standard coal consumption rate price function Pe(i) Price function P of coal consumption rate of heat supply standard of unith(i) Wherein i is a unit number;
obtaining power grid examination cost under different AGC precision data, and performing data processing to obtain a relation function D of the power grid examination cost and the AGC precision dataagc(i) Wherein i is a unit number;
obtaining economic function of whole plant
Wherein, Pe(i) Marking a coal consumption rate price function for unit power generation;
w (i) is the generating capacity of the unit in unit time;
Ph(i) providing a standard coal consumption rate price function for the unit;
q (i) is the heat supply amount of the unit in unit time;
Dagc(i) the relation function of the power grid examination cost and the AGC precision data is obtained;
according to the economic function P of the whole plantsThe minimum value of (a) is obtained as the power generation amount W (i) and unit of each unit in unit timeAnd (5) distributing the heat supply Q (i) of the units in time.
2. The heat supply unit load optimization distribution method according to claim 1, wherein the obtaining of the coal consumption data of each unit corresponding to the AGC accuracy data of each unit specifically includes:
and calculating the AGC precision data by acquiring AGC precision time sequence data or according to historical data, and acquiring each group of unit coal consumption data corresponding to the AGC precision data at the current moment from a preset database.
3. The heating unit load optimal distribution method according to claim 2, wherein the distribution method is according to a plant-wide economic function PsBefore the minimum value of (a) is obtained to distribute the power generation w (i) of each unit in unit time and the heat supply q (i) of each unit in unit time, the method further comprises:
heat supply Q of the whole plant in the current unit timefAnd the power generation capacity W of the whole plant in unit timefUnder the condition of meeting the constraint condition of unit performance, the economic function P of the whole plant is subjected tosOptimizing and solving the economic function P of the whole plantsMinimum value of (d);
the unit time heat supply quantity Q of the whole plantfThe sum of the heat supply Q (i) of the units in unit time;
the unit time power generation capacity W of the whole plantfIs the sum of the generated energy W (i) of the unit in unit time.
4. A heating unit load optimal distribution method according to claim 3, characterized in that the economic function P of the whole plant is obtainedsThe optimization is specifically carried out by a population algorithm/genetic algorithm/gradient descent/Lagrange multiplier/golden section method.
5. A heating unit load optimal distribution method according to claim 4, characterized in that the plant wide economic function PsMay be embodied as a static function, a timing function, a difference equation or a transfer functionAnd (4) counting.
6. The heating unit load optimal distribution method according to claim 1, wherein the unit electricity generation standard coal consumption rate function E obtained by calculation according to each unit coal consumption datae(i) Standard coal consumption rate function E for heat supply of unith(i) The method specifically comprises the following steps:
performing historical data fitting or intelligent algorithm training according to the coal consumption data of each set of the unit to obtain a unit power generation standard coal consumption rate function Ee(i) And unit heat supply standard coal consumption rate function Eh(i)。
7. The heating unit load optimal distribution method according to claim 1, wherein the power grid assessment cost under different AGC precision data is obtained, and the relation function D of the power grid assessment cost and the AGC precision data is obtained through data processingagc(i) The method specifically comprises the following steps:
obtaining power grid examination cost under different AGC precision data, and performing historical data fitting or intelligent algorithm to obtain a relation function D of the power grid examination cost and the AGC precision dataagc(i)。
8. A heating unit load optimizing distribution system, the system comprising:
the unit coal consumption data acquisition module is used for acquiring the corresponding unit coal consumption data of each group according to the AGC precision data of each group;
a price function calculation module for calculating the standard coal consumption rate function E of the unit power generation according to the coal consumption data of each unite(i) Standard coal consumption rate function E for heat supply of unith(i) And the current standard coal price are respectively obtained to obtain a unit power generation standard coal consumption rate price function Pe(i) Price function P of coal consumption rate of heat supply standard of unith(i) Wherein i is a unit number;
a relation function calculation module of the power grid examination expense and the AGC precision data acquires the power grid examination expense under different AGC precision data and carries outThe relation function D of the power grid examination expense and the AGC precision data is obtained through data processingagc(i) Wherein i is a unit number;
the economic function calculation module of the whole plant obtains the economic function of the whole plant
Wherein, Pe(i) Marking a coal consumption rate price function for unit power generation;
w (i) is the generating capacity of the unit in unit time;
Ph(i) providing a standard coal consumption rate price function for the unit;
q (i) is the heat supply amount of the unit in unit time;
Dagc(i) the relation function of the power grid examination cost and the AGC precision data is obtained;
a load distribution module for distributing the load according to a plant-wide economic function PsThe distribution of the generated power W (i) of the unit in unit time and the heat supply Q (i) of the unit in unit time of each unit is obtained according to the minimum value of the total heat supply quantity of the units.
9. The utility model provides a heating unit load optimizing distribution device which characterized in that, includes memory and treater, wherein:
the memory is used for storing a computer program;
the processor is configured to execute the computer program to implement the heating unit load optimization distribution method according to any one of claims 1 to 7.
10. A thermal power plant comprising the heating unit load optimizing distribution apparatus of claim 9.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
| CN113554320A (en) * | 2021-07-27 | 2021-10-26 | 西安热工研究院有限公司 | Whole-plant heat and electricity load distribution method based on optimal heat supply economy |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103426032A (en) * | 2013-07-25 | 2013-12-04 | 广东电网公司电力科学研究院 | Method for economically and optimally dispatching cogeneration units |
| CN107862449A (en) * | 2017-10-31 | 2018-03-30 | 合肥天鹰高科技有限公司 | A kind of power plant AGC adjusts checking system |
-
2020
- 2020-03-26 CN CN202010223978.XA patent/CN111313415A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103426032A (en) * | 2013-07-25 | 2013-12-04 | 广东电网公司电力科学研究院 | Method for economically and optimally dispatching cogeneration units |
| CN107862449A (en) * | 2017-10-31 | 2018-03-30 | 合肥天鹰高科技有限公司 | A kind of power plant AGC adjusts checking system |
Non-Patent Citations (1)
| Title |
|---|
| 冯署能: ""辅助服务中AGC性能改善方法及竞争模型研究"", 《中国优秀硕士学位论文全文数据库》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
| CN113554320A (en) * | 2021-07-27 | 2021-10-26 | 西安热工研究院有限公司 | Whole-plant heat and electricity load distribution method based on optimal heat supply economy |
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