CN110263405A - Gas engine goes out force linearizing method and device - Google Patents
Gas engine goes out force linearizing method and device Download PDFInfo
- Publication number
- CN110263405A CN110263405A CN201910508038.2A CN201910508038A CN110263405A CN 110263405 A CN110263405 A CN 110263405A CN 201910508038 A CN201910508038 A CN 201910508038A CN 110263405 A CN110263405 A CN 110263405A
- Authority
- CN
- China
- Prior art keywords
- output
- gas engine
- curve
- characterizing
- model
- 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.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 52
- 230000008569 process Effects 0.000 claims abstract description 12
- 238000010248 power generation Methods 0.000 claims description 17
- 230000006870 function Effects 0.000 claims description 13
- 238000000418 atomic force spectrum Methods 0.000 claims description 12
- 239000007789 gas Substances 0.000 description 134
- 239000002184 metal Substances 0.000 description 9
- 230000008901 benefit Effects 0.000 description 7
- 238000004364 calculation method Methods 0.000 description 7
- 238000010586 diagram Methods 0.000 description 6
- 238000010438 heat treatment Methods 0.000 description 6
- 230000001419 dependent effect Effects 0.000 description 3
- 238000004422 calculation algorithm Methods 0.000 description 2
- 238000004590 computer program Methods 0.000 description 2
- 238000001816 cooling Methods 0.000 description 2
- 230000014509 gene expression Effects 0.000 description 2
- 238000013178 mathematical model Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 238000005057 refrigeration Methods 0.000 description 2
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 238000003491 array Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 239000003546 flue gas Substances 0.000 description 1
- 230000002068 genetic effect Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 239000002245 particle Substances 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
- 238000011084 recovery Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/10—Internal combustion engine [ICE] based vehicles
- Y02T10/30—Use of alternative fuels, e.g. biofuels
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- Geometry (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Combined Controls Of Internal Combustion Engines (AREA)
Abstract
The invention discloses a kind of gas engines to go out force linearizing method, apparatus, readable medium and electronic equipment, and method comprises determining that the non-linear power output model of gas engine；Obtain corresponding first power curve of non-linear power output model of the gas engine；Linearization process is carried out with the linear power output model of the determination gas engine to first power curve.According to the technical solution of the present invention, the non-linear power output model linearization of gas engine can be determined linear power output model.
Description
Technical Field
The invention relates to the technical field of energy, in particular to a method and a device for linearizing output of a gas engine.
Background
Gas engines have been widely used in the energy field as a main power generation facility.
At present, when the operating condition of a gas engine is researched, the output model is solved mainly by constructing the output model between the residual heat and the output of the gas engine, and the output information of the gas engine is determined.
However, the output model determined in the above manner is nonlinear, that is, the gas engine output is nonlinear, which increases the calculation difficulty and time for solving the output model. Therefore, it is an urgent need to solve the problem of linearizing the output of the gas turbine.
Disclosure of Invention
The invention provides a method and a device for linearizing output of a gas engine, a computer readable storage medium and electronic equipment, which can linearize a nonlinear output model of the gas engine and determine a linear output model.
In a first aspect, the present invention provides a method for linearizing output of a gas engine, comprising:
determining a nonlinear output model of the gas engine;
acquiring a first output curve corresponding to the nonlinear output model of the gas engine;
and carrying out linearization processing on the first output curve to determine a linear output model of the gas engine.
Preferably, the first and second electrodes are formed of a metal,
the linearizing the first output curve to determine a linear output model of the gas engine includes:
determining at least two second output curves according to the first output curve;
and linearizing each second output curve to determine a linear output model of the gas engine.
Preferably, the first and second electrodes are formed of a metal,
the nonlinear output model of the gas engine comprises:
wherein F represents the input power of the gas engine, PMTCharacterizing the output of a gas engine, ηMTRepresenting the power generation efficiency of the gas engine;
the objective function in the linear output model includes:
wherein,input Power, K, characterizing a time period tiThe slope P of the second output curve representing the ith sectioni(t) characterizing the force output, M, of the second force output curve of the i-th section in a time period tiThe intercept B of the second output curve representing the i-th sectioni(t) characterizing the state variable of the ith second output curve in a time period t, and N characterizing the number of sections of the second output curve;
the constraints in the linear output model include:
Mi＝Fi-PiKi
Pi(t)Bi(t)≤Pi(t)≤Pi+1(t)Bi+1(t)
wherein, FiMinimum input power, F, characterizing the second output curve of the i-th sectioni+1Maximum input power, P, characterizing the second output curve of the i-th sectioniMinimum force, P, characterizing the second force curve of the i-th segmenti+1Maximum output, P, characterizing the i-th section of the output curvei+1(t) characterizing the maximum output of the second output curve of the i-th section in a time period t, Bi+1(t) characterizing the state variable corresponding to the maximum output of the second output curve of the ith section in the time period t.
Preferably, the first and second electrodes are formed of a metal,
the state variables comprise a parameter 1 for representing that the gas engine is in a starting state and a parameter 0 for representing that the gas engine is in a shutdown state.
Preferably, the first and second electrodes are formed of a metal,
further comprising: acquiring rated power of the gas engine;
then the process of the first step is carried out,
determining at least two second force curves from the first force curve, including:
determining a load interval corresponding to the first output curve according to the rated power, and determining at least one critical load rate according to the load interval;
and determining a coordinate point of the critical load factor corresponding to the first output curve, and dividing the first output curve according to the coordinate point to determine at least two second output curves.
Preferably.
The obtaining of the first output curve corresponding to the nonlinear model includes:
acquiring historical operation information of the gas engine;
and substituting the historical operation information into the nonlinear output model to determine a first output curve.
In a second aspect, the present invention provides a method for determining output information of a gas engine, including:
acquiring a linear output model, at least one load information and at least one equipment information of the gas engine;
and determining the output information of the gas engine according to the load information, the equipment information and the linear output model.
In a third aspect, the present invention provides a gas engine output linearization device, including:
the first model determining module is used for determining a nonlinear output model of the gas engine;
the first acquisition module is used for acquiring a first output curve corresponding to the nonlinear output model of the gas engine;
and the second model determining module is used for carrying out linearization processing on the first output curve so as to determine a linear output model of the gas engine.
Preferably, the first and second electrodes are formed of a metal,
the second model determination module comprising: a dividing unit and a model determining unit;
the dividing unit is used for determining at least two second output curves according to the first output curve;
the model determining unit is used for linearizing each second output curve to determine a linear output model of the gas engine.
Preferably, the first and second electrodes are formed of a metal,
the nonlinear output model of the gas engine comprises:
wherein F represents the input power of the gas engine, PMTCharacterizing the output of a gas engine, ηMTRepresenting the power generation efficiency of the gas engine;
the objective function in the linear output model includes:
wherein,input Power, K, characterizing a time period tiThe slope P of the second output curve representing the ith sectioni(t) characterizing the force output, M, of the second force output curve of the i-th section in a time period tiThe intercept B of the second output curve representing the i-th sectioni(t) characterizing the state variable of the ith second output curve in a time period t, and N characterizing the number of sections of the second output curve;
the constraints in the linear output model include:
Mi＝Fi-PiKi
Pi(t)Bi(t)≤Pi(t)≤Pi+1(t)Bi+1(t)
wherein, FiMinimum input power, F, characterizing the second output curve of the i-th sectioni+1Maximum input power, P, characterizing the second output curve of the i-th sectioniMinimum force, P, characterizing the second force curve of the i-th segmenti+1Maximum output, P, characterizing the i-th section of the output curvei+1(t) characterizing the maximum output of the second output curve of the i-th section in a time period t, Bi+1(t) characterizing the state variable corresponding to the maximum output of the second output curve of the ith section in the time period t.
Preferably, the first and second electrodes are formed of a metal,
the state variables comprise a parameter 1 for representing that the gas engine is in a starting state and a parameter 0 for representing that the gas engine is in a shutdown state.
Preferably, the first and second electrodes are formed of a metal,
further comprising: a second acquisition module;
the second obtaining module is used for obtaining rated power of the gas engine;
then, the dividing unit comprises a load rate determining subunit and a curve dividing subunit;
the load rate determining subunit is configured to determine a load interval corresponding to the first output curve according to the rated power, and determine at least one critical load rate according to the load interval;
and the curve dividing subunit is used for determining a coordinate point of the critical load factor corresponding to the first output curve, and dividing the first output curve according to the coordinate point to determine at least two second output curves.
Preferably, the first and second electrodes are formed of a metal,
the first obtaining module includes: an acquisition unit and a curve determination unit; wherein,
the acquisition unit is used for acquiring historical operation information of the gas engine;
and the curve determining unit is used for substituting the historical operation information into the nonlinear output model to determine a first output curve.
In a fourth aspect, the present invention provides a computer-readable storage medium comprising executable instructions which, when executed by a processor of an electronic device, perform the method according to any one of the first and second aspects.
In a fifth aspect, the present invention provides an electronic device, comprising a processor and a memory storing execution instructions, wherein when the processor executes the execution instructions stored in the memory, the processor performs the method according to any one of the first and second aspects.
The invention provides a method and a device for linearizing output of a gas engine, a computer readable storage medium and electronic equipment. In summary, according to the technical scheme of the invention, the nonlinear output model of the gas engine can be linearized, and the linear output model can be determined.
Further effects of the above-mentioned unconventional preferred modes will be described below in conjunction with specific embodiments.
Drawings
In order to more clearly illustrate the embodiments or the prior art solutions of the present invention, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments described in the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive labor.
Fig. 1 is a schematic flow chart of a method for linearizing output of a gas engine according to an embodiment of the present invention;
fig. 2 is a schematic flow chart illustrating a process of determining output information of a gas engine according to an embodiment of the present invention;
FIG. 3 is a schematic structural diagram of a gas engine output linearization apparatus according to an embodiment of the present invention;
FIG. 4 is a schematic structural diagram of another gas engine output linearization apparatus according to an embodiment of the present invention;
FIG. 5 is a schematic structural diagram of another gas engine output linearization apparatus according to an embodiment of the present invention;
FIG. 6 is a schematic structural diagram of another gas engine output linearization apparatus according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be described in detail and completely with reference to the following embodiments and accompanying drawings. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. 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.
The influence of the environment on the gas engine is not considered in the prior art, and the formula of the power generation efficiency of the gas engine is as follows:
wherein, ηMTRepresenting the power generation efficiency; pMT(t) characterizing the output power for a period t; pMT，maxCharacterizing a maximum value of output power for a t period; a. b, c and d are constants.
The gas engine is usually combined with the refrigerator, the residual heat of the gas engine provides heat for the refrigerator, the refrigerator generates refrigerating capacity and heating capacity by utilizing the heat provided by the residual heat of the gas engine, and a mathematical model of the refrigerating and heating of the gas engine is as follows:
QMT，c(t)＝QMT(t)ηMT，cηrec
QMT，h(t)＝QMT(t)ηMT，hηrec
wherein Q isMT，c(t) characterizing the refrigerating capacity of the refrigerating machine in a period t; qMT(t) characterisationResidual heat quantity of gas engine in t period ηMT，cCharacterizing the refrigeration coefficient of a refrigerator ηrecCharacterizing the flue gas recovery rate of the refrigerator; qMT，h(t) characterizing the heating capacity of the refrigerator during time t ηMT，hCharacterizing the heating coefficient of the refrigerator ηMT，lAnd (4) representing the heat loss coefficient of the gas engine.
In summary, the nonlinear output function of the gas engine is as follows:
it can be seen from the nonlinear output function that the residual heat quantity of the gas engine and the output power (i.e. output) of the gas engine present a nonlinear relationship, so that the calculation difficulty and the calculation time are increased when the mathematical model is solved.
As shown in fig. 1, an embodiment of the present invention provides a method for linearizing output of a gas engine, including the following steps:
step 101, determining a nonlinear output model of a gas engine;
102, acquiring a first output curve corresponding to a nonlinear output model of the gas engine;
step 103, performing linearization processing on the first output curve to determine a linear output model of the gas engine.
In the embodiment shown in fig. 1, the method obtains a first output curve corresponding to the nonlinear output model of the gas engine by determining the nonlinear output model of the gas engine, and performs linearization processing on the first output curve to determine the linear output model of the gas engine. In summary, according to the technical scheme of the invention, the nonlinear output model of the gas engine can be linearized, and the linear output model can be determined.
Correspondingly, when a certain model comprises the nonlinear output model of the gas engine, the nonlinear output model can be linearized according to the technical scheme provided by the invention in the model solving process, so that the model can be solved more quickly, the calculation difficulty is reduced, and the calculation time is saved.
Specifically, the first output curve corresponding to the nonlinear output model of the gas engine can reflect the output condition of the gas engine. The first output curve indicates a functional relationship between the output of the gas engine and a parameter affecting the output, and it is apparent that the independent variable of the first output curve is the output of the gas engine.
In an embodiment of the present invention, the linearizing the first output curve to determine the linear output model of the gas engine includes:
determining at least two second output curves according to the first output curve;
and linearizing each second output curve to determine a linear output model of the gas engine.
Specifically, the first output curve is divided into a plurality of second output curves in combination with an actual service scene, and each second output curve is subjected to linearization output, so that the first output curve can be linearized. Here, the first output curve is an increasing curve, and in general, the data at both ends of the second output curve are extreme values of the second output curve.
In an embodiment of the present invention, the nonlinear output model of the gas engine includes:
wherein F represents the input power of the gas engine、PMTCharacterizing the output of a gas engine, ηMTRepresenting the power generation efficiency of the gas engine;
the objective function in the linear output model includes:
wherein,input Power, K, characterizing a time period tiThe slope P of the second output curve representing the ith sectioni(t) characterizing the force output, M, of the second force output curve of the i-th section in a time period tiThe intercept B of the second output curve representing the i-th sectioni(t) characterizing the state variable of the ith second output curve in a time period t, and N characterizing the number of sections of the second output curve;
the constraints in the linear output model include:
Mi＝Fi-PiKi
PiBi(t)≤Pi(t)≤Pi+1Bi+1(t)
wherein, FiMinimum input power, F, characterizing the second output curve of the i-th sectioni+1Maximum input power, P, characterizing the second output curve of the i-th sectioniMinimum force, P, characterizing the second force curve of the i-th segmenti+1Maximum output, P, characterizing the i-th section of the output curvei+1(t) characterizing the maximum output of the second output curve of the i-th section in a time period t, Bi+1(t) characterizing the state variable corresponding to the maximum output of the second output curve of the ith section in the time period t.
Here, the nonlinear output model is a ratio of output to power generation efficiency, and generally, the power generation efficiency is a ratio of output to input power, that is, an independent variable in the nonlinear output model is output, and a dependent variable is input power.
Specifically, considering that the output of the gas engine in a certain period of time changes in an output interval (output power interval), the first output curve is divided into a plurality of second output curves, in order to linearize the second output curves more easily, a state variable is introduced, for each second output curve, two end point values of the second output curve are substituted into a preset linear equation to be solved, the slope and the intercept of the preset linear equation are determined, the product of the state variable and the intercept is determined as a target intercept, then, the slope and the target intercept are substituted into the preset linear equation to obtain linear expressions of the second output curves, at this time, the sum of the linear expressions corresponding to each second output curve is determined as the linear output function of the gas engine, and the first output curve can be linearized according to the linear output function.
Specifically, the sum of the state variables in the linear output function is not greater than 1, that is, when the gas engine is in the operating state, the output information corresponding to the gas engine is on a certain second linear output curve.
For example, for each second force profile, assume that the two endpoint values of the second force profile are (P)i，Fi) And (P)i+1，Fi+1) Then the slope KiIs composed ofIntercept MiIs Fi-PiKiOr Fi+1-Pi+1Ki. State variable Bi(t) comprises a parameter 1 representing that the gas engine is in a startup state and a parameter 0 representing that the gas engine is in a shutdown state, and for each second output curve, Bi(t) and Bi+1(t) same, it is apparent that the gas engine outputs power P during the period ti(t) is not less than PiBi(t) not more than Pi+1Bi+1(t), i.e. the output of the gas engine in the time period t is positioned on a certain linearized second output curve.
In one embodiment of the present invention, the state variables include a parameter 1 representing that the gas engine is in a startup state and a parameter 0 representing that the gas engine is in a shutdown state;
specifically, the state variables include a parameter 1 representing that the gas engine is in a startup state and a parameter 0 representing that the gas engine is in a shutdown state, and the sum of the state variables in the linear output function is not greater than 1, that is, when the gas engine is in an operating state, the output information corresponding to the gas engine is a certain linear second output curve.
In one embodiment of the present invention, the method further comprises: acquiring rated power of the gas engine;
then, said determining at least two second output curves from said first output curve comprises:
determining a load interval corresponding to the first output curve according to the rated power, and determining at least one critical load rate according to the load interval;
and determining a coordinate point of the critical load factor corresponding to the first output curve, and dividing the first output curve according to the coordinate point to determine at least two second output curves.
Specifically, in consideration of the actual operation condition of the equipment, for example, the load factor of the equipment during operation in a certain period fluctuates within a certain range, the ratio of the maximum output power to the rated capacity of the first output curve is determined as the maximum load factor, a load interval is formed by using zero and the maximum load factor, then the load interval can be divided to determine a plurality of critical load factors, the critical load factors can be the load factors with relatively frequent occurrence times of the gas engine during the historical operation process, then, the coordinate points of the critical load factors corresponding to the first output curve are determined, then, the first output curve can be divided according to the coordinate points to obtain at least two second output curves, and the obtained second output curves can more accurately reflect the output power interval of the gas engine.
For example, in one possible implementation, the load interval corresponding to the first output curve is [ a, b ]]The load interval can be divided into c parts, so that each critical load rate is Here, the number of shares in the load interval may be determined by combining actual operation conditions of the gas engine, so as to ensure that the obtained second output curve can more accurately reflect the output power interval of the gas engine.
It should be noted that, if the critical load factor is a ratio of the output power to the rated power, determining a coordinate point of each critical load factor on the first output curve specifically means that a product of the critical load factor and the rated power is equal to an output power value at the coordinate point on the first output curve.
In one possible implementation, the load interval may be divided according to an actual service scenario to determine the critical load rate, for example, the critical load rate may be determined to be 0%, 30%, 50%, 80%, 90%, and 100%.
In an embodiment of the present invention, the obtaining of the first output curve corresponding to the nonlinear model includes:
acquiring historical operation information of the gas engine;
and substituting the historical operation information into the nonlinear output model to determine a first output curve.
Specifically, the first output curve is determined according to the historical operation information, so that the output condition of the gas engine can be reflected more accurately by the first output curve, the independent variable of the first output curve is output, and the dependent variable is a parameter influencing the output, for example, the parameter can be input power.
It should be noted that the historical operating information of the gas engine includes the output and the parameter affecting the output, and it is obvious that the nonlinear output model indicates the relationship between the output and the parameter affecting the output of the gas engine.
In a possible implementation manner, a plurality of historical operating information of the gas engine is acquired at preset time intervals, for example, 1 minute, the historical operating information includes input power and output power, a confidence interval of the output power at a certain confidence level (for example, 95%) is determined, and accordingly, the historical operating information corresponding to the output power in the confidence interval can be determined, and then, each historical operating information in the confidence interval can be substituted into the nonlinear output model to determine a first output curve, an independent variable of the first output curve is the output power, a dependent variable is the input power, and meanwhile, the first output curve can reflect the output condition of the gas engine more accurately.
Referring to fig. 2, an embodiment of the present invention provides a method for determining output information of a gas engine, including the following steps:
step 201, acquiring a linear output model, at least one load information and at least one equipment information of a gas engine;
step 202, determining the output information of the gas engine according to the load information, the equipment information and the linear output model.
According to the embodiment shown in fig. 2, the method obtains the linear output model of the gas engine, a plurality of pieces of load information and a plurality of pieces of equipment information, and then determines the output information of the gas engine according to the load information, the equipment information and the linearized first output function. In summary, according to the technical scheme of the invention, compared with the nonlinear output model, in the process of determining the output information of the gas engine according to the load information, the equipment information and the linear output model, the calculation difficulty and the calculation time are reduced, and the output information of the gas engine can be determined more quickly.
In particular, the output information includes, but is not limited to, the output power or/and the output power interval, considering that the actual operating state of the gas engine is influenced by the load demand and the surrounding environment.
Specifically, the gas engine and the refrigeration equipment can form a Combined Cooling, heating and Power (CCHP) system, and can form a comprehensive energy system or a micro-grid system with a new energy Power generation system.
Specifically, taking a combined heat and power generation system as an example for illustration, in a possible implementation manner, load information, equipment information and a linear output model of a gas engine are substituted into a preset energy efficiency model or/and a scheduling model of the combined heat and power generation system, an optimal solution of the energy efficiency model or/and the scheduling model is solved by using a genetic algorithm or a particle swarm algorithm, and the output information of the gas engine in the combined heat and power generation system is determined, where the energy efficiency model specifically refers to a maximum value of a ratio of an energy output quantity to an energy input quantity of the combined heat and power generation system, the scheduling model specifically refers to a maximum value of a benefit minus a cost of the combined heat and power generation system, the benefit generally includes, but is not limited to, any one or more of a power selling benefit, a cooling benefit, a heating benefit and a subsidy benefit, and the cost generally includes, but is not limited to, obviously, the energy efficiency model or/and the scheduling model needs to be determined according to the actual service scene.
It should be noted that the load information and the equipment information of the gas engine need to be determined in combination with the actual service scenario requirements, where the load information includes, but is not limited to, the load requirements and the load constraints of the gas engine, where the load constraints indicate a functional relationship between the output power of the gas engine and the output power of other equipment, and the equipment information includes, but is not limited to, the output power interval and the number of equipment of the gas engine.
Based on the same concept as the method embodiment of the present invention, referring to fig. 3, an embodiment of the present invention further provides a gas engine output linearization apparatus, including:
a first model determining module 301, configured to determine a nonlinear output model of a gas engine;
a first obtaining module 302, configured to obtain a first output curve corresponding to a nonlinear output model of the gas engine;
a second model determining module 303, configured to perform linearization on the first output curve to determine a linear output model of the gas engine.
Referring to fig. 4, in an embodiment of the present invention, the second model determining module 303 includes: a dividing unit 3031 and a model determining unit 3032;
the dividing unit 3031 is configured to determine at least two second output curves according to the first output curve;
the model determining unit 3032 is configured to linearize each of the second output curves to determine a linear output model of the gas engine.
In an embodiment of the present invention, the nonlinear output model of the gas engine includes:
wherein F represents the input power of the gas engine, PMTCharacterizing the output of a gas engine, ηMTRepresenting the power generation efficiency of the gas engine;
the objective function in the linear output model includes:
wherein,input Power, K, characterizing a time period tiThe slope P of the second output curve representing the ith sectioni(t) characterizing the force output, M, of the second force output curve of the i-th section in a time period tiThe intercept B of the second output curve representing the i-th sectioni(t) characterizing the state variable of the ith second output curve in a time period t, and N characterizing the number of sections of the second output curve;
the constraints in the linear output model include:
Mi＝Fi-PiKi
Pi(t)Bi(t)≤Pi(t)≤Pi+1(t)Bi+1(t)
wherein, FiMinimum input power, F, characterizing the second output curve of the i-th sectioni+1Maximum input power, P, characterizing the second output curve of the i-th sectioniMinimum force, P, characterizing the second force curve of the i-th segmenti+1Maximum output, P, characterizing the i-th section of the output curvei+1(t) characterizing the maximum output of the second output curve of the i-th section in a time period t, Bi+1(t) characterizing the state variable corresponding to the maximum output of the second output curve of the ith section in the time period t.
In an embodiment of the present invention, the state variables include a parameter 1 representing that the gas engine is in a power-on state and a parameter 0 representing that the gas engine is in a power-off state.
Referring to fig. 5, in an embodiment of the present invention, the method further includes: a second obtaining module 304; the second obtaining module is used for obtaining the rated power of the gas engine;
then the process of the first step is carried out,
the dividing unit 3031 comprises a load factor determining subunit 30311 and a curve dividing subunit 30312;
the load factor determining subunit 30311 is configured to determine a load interval corresponding to the first output curve according to the rated power, and determine at least one critical load factor according to the load interval;
the curve dividing subunit 30312 is configured to determine a coordinate point of the critical load factor corresponding to the first output curve, and divide the first output curve according to the coordinate point to determine at least two second output curves.
Referring to fig. 6, in an embodiment of the present invention, the first obtaining module 302 includes: an acquisition unit 3021 and a curve determination unit 3022; wherein,
the acquiring unit 3021 configured to acquire historical operation information of the gas engine;
the curve determining unit 3022 is configured to substitute the historical operating information into the nonlinear output model to determine a first output curve.
Fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present invention. On the hardware level, the electronic device includes a processor 701 and a memory 702 storing execution instructions, and optionally further includes an internal bus 703 and a network interface 704. The memory 702 may include a memory 7021, such as a Random-access memory (RAM), and may further include a non-volatile memory 7022 (e.g., at least 1 disk memory); the processor 701, the network interface 704, and the memory 702 may be connected to each other by an internal bus 703, and the internal bus 703 may be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, an EISA (extended Industry Standard Architecture) bus, or the like; the internal bus 703 may be divided into an address bus, a data bus, a control bus, etc., which is indicated by a double-headed arrow in fig. 7 for convenience of illustration, but does not indicate only one bus or one type of bus. Of course, the electronic device may also include hardware required for other services. When the processor 701 executes the execution instructions stored in the memory 702, the processor 701 executes the method according to any of the embodiments of the present invention, and at least is configured to execute the method shown in fig. 1 and fig. 2.
In a possible implementation mode, the processor reads corresponding execution instructions from the nonvolatile memory into the memory and then runs the corresponding execution instructions, and corresponding execution instructions can also be obtained from other equipment, so that a gas engine output linearization device is formed on a logic level. The processor executes the execution instructions stored in the memory, so that the method for linearizing the output of the gas engine provided by any embodiment of the invention is realized through the executed execution instructions.
The processor may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or instructions in the form of software. The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components. The various methods, steps and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
Embodiments of the present invention further provide a computer-readable storage medium, which includes an execution instruction, and when a processor of an electronic device executes the execution instruction, the processor executes a method provided in any one of the embodiments of the present invention. The electronic device may specifically be the electronic device shown in fig. 7; the execution instruction is a computer program corresponding to a gas engine output linearization device.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects.
The embodiments of the present invention are described in a progressive manner, and the same and similar parts among the embodiments can be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, as for the apparatus embodiment, since it is substantially similar to the method embodiment, the description is relatively simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or boiler that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or boiler. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or boiler that comprises the element.
The above description is only an example of the present invention, and is not intended to limit the present invention. Various modifications and alterations to this invention will become apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.
Claims (15)
1. A method of linearizing output of a gas engine, comprising:
determining a nonlinear output model of the gas engine;
acquiring a first output curve corresponding to the nonlinear output model of the gas engine;
and carrying out linearization processing on the first output curve to determine a linear output model of the gas engine.
2. The method of claim 1,
the linearizing the first output curve to determine a linear output model of the gas engine includes:
determining at least two second output curves according to the first output curve;
and linearizing each second output curve to determine a linear output model of the gas engine.
3. The method of claim 2,
the nonlinear output model of the gas engine comprises:
wherein F represents the input power of the gas engine, PMTCharacterizing the output of a gas engine, ηMTRepresenting the power generation efficiency of the gas engine;
the objective function in the linear output model includes:
wherein,input Power, K, characterizing a time period tiThe slope P of the second output curve representing the ith sectioni(t) characterizing the force output, M, of the second force output curve of the i-th section in a time period tiThe intercept B of the second output curve representing the i-th sectioni(t) characterizing the state variable of the ith second output curve in a time period t, and N characterizing the number of sections of the second output curve;
the constraints in the linear output model include:
Mi＝Fi-PiKi
Pi(t)Bi(t)≤Pi(t)≤Pi+1(t)Bi+1(t)
wherein, FiMinimum input power, F, characterizing the second output curve of the i-th sectioni+1Maximum input power, P, characterizing the second output curve of the i-th sectioniMinimum force, P, characterizing the second force curve of the i-th segmenti+1Maximum output, P, characterizing the i-th section of the output curvei+1(t) characterizing the maximum output of the second output curve of the i-th section in a time period t, Bi+1(t) characterizing the state variable corresponding to the maximum output of the second output curve of the ith section in the time period t.
4. The method of claim 3,
the state variables comprise a parameter 1 for representing that the gas engine is in a starting state and a parameter 0 for representing that the gas engine is in a shutdown state.
5. The method of claim 2, further comprising:
acquiring rated power of the gas engine;
then the process of the first step is carried out,
determining at least two second force curves from the first force curve, including:
determining a load interval corresponding to the first output curve according to the rated power, and determining at least one critical load rate according to the load interval;
and determining a coordinate point of the critical load factor corresponding to the first output curve, and dividing the first output curve according to the coordinate point to determine at least two second output curves.
6. The method according to claims 1 to 5,
the obtaining of the first output curve corresponding to the nonlinear model includes:
acquiring historical operation information of the gas engine;
and substituting the historical operation information into the nonlinear output model to determine a first output curve.
7. A method of determining output information for a gas engine, comprising:
acquiring a linear output model, at least one load information and at least one equipment information of the gas engine as set forth in any one of claims 1 to 6;
and determining the output information of the gas engine according to the load information, the equipment information and the linear output model.
8. A gas engine output linearization apparatus, comprising:
the first model determining module is used for determining a nonlinear output model of the gas engine;
the first acquisition module is used for acquiring a first output curve corresponding to the nonlinear output model of the gas engine;
and the second model determining module is used for carrying out linearization processing on the first output curve so as to determine a linear output model of the gas engine.
9. The apparatus of claim 8,
the second model determination module comprising: a dividing unit and a model determining unit;
the dividing unit is used for determining at least two second output curves according to the first output curve;
the model determining unit is used for linearizing each second output curve to determine a linear output model of the gas engine.
10. The apparatus of claim 9,
the nonlinear output model of the gas engine comprises:
wherein F represents the input power of the gas engine, PMTCharacterizing the output of a gas engine, ηMTRepresenting the power generation efficiency of the gas engine;
the objective function in the linear output model includes:
wherein,input Power, K, characterizing a time period tiThe slope P of the second output curve representing the ith sectioni(t) characterizing the force output, M, of the second force output curve of the i-th section in a time period tiThe intercept B of the second output curve representing the i-th sectioni(t) characterizing the state variable of the ith second output curve in a time period t, and N characterizing the number of sections of the second output curve;
the constraints in the linear output model include:
Mi＝Fi-PiKi
Pi(t)Bi(t)≤Pi(t)≤Pi+1(t)Bi+1(t)
wherein, FiMinimum input power, F, characterizing the second output curve of the i-th sectioni+1Maximum input power, P, characterizing the second output curve of the i-th sectioniMinimum force, P, characterizing the second force curve of the i-th segmenti+1Maximum output, P, characterizing the i-th section of the output curvei+1(t) characterizing the maximum output of the second output curve of the i-th section in a time period t, Bi+1(t) characterizing the state variable corresponding to the maximum output of the second output curve of the ith section in the time period t.
11. The apparatus of claim 10,
the state variables comprise a parameter 1 for representing that the gas engine is in a starting state and a parameter 0 for representing that the gas engine is in a shutdown state.
12. The apparatus of claim 9,
further comprising: a second acquisition module; wherein,
the second obtaining module is used for obtaining rated power of the gas engine;
then the process of the first step is carried out,
the dividing unit comprises a load rate determining subunit and a curve dividing subunit;
the load rate determining subunit is configured to determine a load interval corresponding to the first output curve according to the rated power, and determine at least one critical load rate according to the load interval;
and the curve dividing subunit is used for determining a coordinate point of the critical load factor corresponding to the first output curve, and dividing the first output curve according to the coordinate point to determine at least two second output curves.
13. The apparatus according to any one of claims 8 to 12,
the first obtaining module includes: an acquisition unit and a curve determination unit; wherein,
the acquisition unit is used for acquiring historical operation information of the gas engine;
and the curve determining unit is used for substituting the historical operation information into the nonlinear output model to determine a first output curve.
14. A computer-readable storage medium comprising executable instructions that, when executed by a processor of an electronic device, cause the processor to perform the method of any of claims 1-7.
15. An electronic device comprising a processor and a memory storing execution instructions, the processor performing the method of any of claims 1-7 when the processor executes the execution instructions stored by the memory.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910508038.2A CN110263405B (en) | 2019-06-12 | 2019-06-12 | Method and device for linearizing output of gas engine |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910508038.2A CN110263405B (en) | 2019-06-12 | 2019-06-12 | Method and device for linearizing output of gas engine |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110263405A true CN110263405A (en) | 2019-09-20 |
| CN110263405B CN110263405B (en) | 2022-11-29 |
Family
ID=67917849
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910508038.2A Active CN110263405B (en) | 2019-06-12 | 2019-06-12 | Method and device for linearizing output of gas engine |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110263405B (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130245844A1 (en) * | 2012-03-19 | 2013-09-19 | Saudi Arabian Oil Company | Methods For Simultaneous Process and Utility Systems Synthesis in Partially and Fully Decentralized Environments |
| CN103544372A (en) * | 2013-08-05 | 2014-01-29 | 中国科学院电工研究所 | Unit type selection method of micro gas turbine combined heat and power system |
| CN104635486A (en) * | 2015-01-28 | 2015-05-20 | 北京华清燃气轮机与煤气化联合循环工程技术有限公司 | Method and device for setting parameters of closed-loop PID (proportion integration differentiation) controller of gas turbine |
| CN106485600A (en) * | 2016-10-12 | 2017-03-08 | 国网宁夏电力公司 | A kind of virtual plant economic security method for optimizing scheduling |
-
2019
- 2019-06-12 CN CN201910508038.2A patent/CN110263405B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130245844A1 (en) * | 2012-03-19 | 2013-09-19 | Saudi Arabian Oil Company | Methods For Simultaneous Process and Utility Systems Synthesis in Partially and Fully Decentralized Environments |
| CN103544372A (en) * | 2013-08-05 | 2014-01-29 | 中国科学院电工研究所 | Unit type selection method of micro gas turbine combined heat and power system |
| CN104635486A (en) * | 2015-01-28 | 2015-05-20 | 北京华清燃气轮机与煤气化联合循环工程技术有限公司 | Method and device for setting parameters of closed-loop PID (proportion integration differentiation) controller of gas turbine |
| CN106485600A (en) * | 2016-10-12 | 2017-03-08 | 国网宁夏电力公司 | A kind of virtual plant economic security method for optimizing scheduling |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110263405B (en) | 2022-11-29 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109726909B (en) | Energy efficiency evaluation method and device, readable medium and electronic equipment | |
| JP4361582B2 (en) | Gas turbine performance diagnosis method and performance diagnosis system | |
| CN109117595B (en) | Thermal load prediction method and device, readable medium and electronic equipment | |
| CN111552177B (en) | Method, device, computer equipment and storage medium for improving performance of controller | |
| CN109857984B (en) | Regression method and device of boiler load rate-efficiency curve | |
| CN110865538B (en) | Unit working condition optimization method and device and electronic equipment | |
| CN111365733B (en) | Coal-fired boiler economic oxygen dynamic optimization method, system and equipment | |
| CN111523205B (en) | Specific enthalpy determining method and device for superheated steam | |
| CN109669486B (en) | Controller performance evaluation method and device, readable medium and electronic equipment | |
| CN109858638B (en) | Method and device for constructing equipment energy efficiency curve, readable medium and electronic equipment | |
| CN110263405B (en) | Method and device for linearizing output of gas engine | |
| CN106068590A (en) | Equipment operation setting device and equipment operation setting value determination procedure | |
| CN109740235B (en) | Method and device for determining coal saving amount of coal-fired boiler, readable medium and electronic equipment | |
| CN112066356A (en) | Boiler thermal efficiency online monitoring method and device, readable medium and electronic equipment | |
| CN112115418B (en) | Method, device and equipment for acquiring bias estimation information | |
| US11835944B2 (en) | Upgrade evaluation method and upgrade evaluation device | |
| CN109858119B (en) | Dynamic energy efficiency modeling method and device, readable medium and electronic equipment | |
| AU2017248562A1 (en) | Operation plan creating apparatus, operation plan creating method, and program | |
| CN113868783A (en) | Method for determining running backpressure and minimum technical output characteristics of high-backpressure heat supply unit | |
| CN109685683A (en) | For general energy scheduling model optimization method, apparatus, medium and the equipment that can be stood | |
| CN111814112B (en) | Power load prediction method and device, readable medium and electronic equipment | |
| CN111553044A (en) | Method and device for determining design parameters of biogas burner in biogas boiler | |
| CN114114971A (en) | Voltage regulation method and device, digital processing equipment and readable storage medium | |
| CN114893305B (en) | Control method and system of gas unit | |
| CN110081408B (en) | Steam regulation and control method and device |
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 |