CN117039941B - Optimization method and device for automatic power generation control, computer equipment and storage medium - Google Patents
Optimization method and device for automatic power generation control, computer equipment and storage medium Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 178
- 238000010248 power generation Methods 0.000 title claims abstract description 150
- 238000005457 optimization Methods 0.000 title claims abstract description 94
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Classifications
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
- H02J3/241—The oscillation concerning frequency
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
- H02J3/14—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
- H02J3/144—Demand-response operation of the power transmission or distribution network
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
- H02J3/466—Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/40—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation wherein a plurality of decentralised, dispersed or local energy generation technologies are operated simultaneously
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2310/00—The network for supplying or distributing electric power characterised by its spatial reach or by the load
- H02J2310/50—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads
- H02J2310/56—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads characterised by the condition upon which the selective controlling is based
- H02J2310/58—The condition being electrical
- H02J2310/60—Limiting power consumption in the network or in one section of the network, e.g. load shedding or peak shaving
Abstract
The invention relates to the technical field of power system control, and discloses an optimization method, a device, computer equipment and a storage medium for automatic power generation control. Further, the target optimization control method is determined according to the calculated regional injection error value, so that the accuracy and precision of an automatic power generation control result of the multi-regional interconnected power system are improved, and the optimization of the automatic power generation control result is realized.
Description
Technical Field
The invention relates to the technical field of power system control, in particular to an optimization method and device for automatic power generation control, computer equipment and a storage medium.
Background
The permeability level of renewable energy sources to the power grid is continuously improved, and great challenges are brought to the safe and stable operation of the system. For a multisource complementary system with high-proportion penetration of new energy, the actual load demand may deviate from the unit output in the operation time scale, so that instantaneous supply and demand mismatch is caused, and the output frequency of the system fluctuates. Automatic power generation control is a main method for solving frequency deviation.
In the traditional automatic power generation control method, the power generation level is slowly adjusted through a low-gain integral controller so as to correct the regional control error to be zero. However, since there is an error between the calculated data and the actual measured data of each parameter, the occurrence of electromechanical oscillations in the automatic power generation control process is liable to occur.
Disclosure of Invention
In view of the above, the present invention provides an optimization method, apparatus, computer device and storage medium for automatic power generation control, so as to solve the problem that the conventional automatic power generation control method easily causes electromechanical oscillation in the automatic power generation control process.
In a first aspect, the present invention provides an optimization method for automatic power generation control for a multi-zone interconnected power system; the method comprises the following steps:
acquiring a space state model and a regional control error of a multi-region interconnected power system; based on the regional control error, processing by a preset error reconstruction method, and constructing a regional injection error; acquiring a power data set and a regional injection error of a multi-region interconnected power system, and obtaining a regional injection error value through space state model processing; determining a target optimization control method based on the region injection error value; and based on the regional injection error value, performing automatic power generation control on the multi-region interconnected power system by using a target optimization control method to obtain an optimized automatic power generation control result.
According to the optimization method for automatic power generation control, the regional injection error is obtained by reconstructing the regional control error, so that electromechanical oscillation in the error signal calculation process is avoided. Further, the target optimization control method is determined according to the calculated regional injection error value, so that the accuracy and precision of an automatic power generation control result of the multi-regional interconnected power system are improved, and the optimization of the automatic power generation control result is realized.
In an alternative embodiment, obtaining a spatial state model and a regional control error of a multi-region interconnected power system includes:
establishing a space state model of a multi-region interconnected power system; and constructing a regional control error based on the spatial state model.
In an alternative embodiment, based on the region control error, the region injection error is constructed through processing by a preset error reconstruction method, including:
converting the regional control error by using a small signal analysis method to obtain a target regional control error; and constructing a regional injection error by using the machine end power, the target regional control error and the regional control error of the unit in the multi-regional interconnection power system.
The invention utilizes the machine end power of the unit in the multi-region interconnection power system to construct region injection errors, and can avoid electromechanical oscillation in the error signal calculation process.
In an alternative embodiment, acquiring a power data set and a regional injection error of a multi-region interconnected power system, and performing spatial state model processing to obtain a regional injection error value, where the method includes:
determining a target load frequency control algorithm based on the region injection error; processing the electric power data set through a space state model to obtain an electric power network deviation value; and processing the power data set and the power network deviation value through a target load frequency control algorithm to obtain a regional injection error value.
The regional injection error is constructed by the machine end power of the unit in the multi-regional interconnected power system, so that the regional injection error value can be calculated more accurately and smoothly, and further, the electromechanical oscillation in the error signal calculation process can be avoided.
In an alternative embodiment, determining a target optimization control method based on a region injection error value includes:
comparing the region injection error value with a preset threshold value; when the regional injection error value is smaller than a preset threshold value, determining that the target optimization control method is a control method based on market guidance; and when the region injection error value is greater than or equal to a preset threshold value, determining that the target optimization control method is a control method based on safety guidance.
According to the method for determining the target optimization control according to the calculated regional injection error value, the accuracy and precision of the automatic power generation control result of the multi-regional interconnected power system can be improved, and the optimization of the automatic power generation control result is realized.
In an alternative embodiment, based on the regional injection error value, performing automatic power generation control on the multi-region interconnected power system by using a target optimization control method to obtain an optimized automatic power generation control result, including:
when the target optimization control method is a control method based on market guidance, selecting a target standby unit in the multi-region interconnected power system according to the starting speed; and (5) performing automatic power generation control by using the target standby unit until the regional injection error value is zero, and obtaining an optimized automatic power generation control result.
According to the method, the multi-region interconnected power system is automatically generated and controlled according to the control method based on market guidance, so that the region injection error can be rapidly reduced, and the stability of the multi-region interconnected power system can be improved.
In an alternative embodiment, the automatic power generation control is performed by using the target standby unit until the region injection error value is zero, and an optimized automatic power generation control result is obtained, including:
Repeatedly selecting a target standby unit in the multi-region interconnected power system according to the starting speed, and performing automatic power generation control operation by utilizing the target standby unit until each target standby unit in the multi-region interconnected power system is started, and judging whether the region injection error value is zero or not; when the regional injection error value is not zero, selecting at least one other standby unit in the multi-region interconnected power system according to the starting speed; and (5) performing automatic power generation control by using each other standby unit until the regional injection error value is zero, and obtaining an optimized automatic power generation control result.
According to the method, when the multi-region interconnected power system is automatically controlled according to the control method based on market guidance, the starting speed is utilized to dynamically adjust the application sequence of the generator set and the standby set, so that the region injection error is rapidly reduced, and the stability of the multi-region interconnected power system is improved.
In an optional embodiment, based on the regional injection error value, performing automatic power generation control on the multi-region interconnected power system by using a target optimization control method to obtain an optimized automatic power generation control result, and further including:
When the target optimization control method is a control method based on safety guidance, the optimized automatic power generation control result of the multi-region interconnected power system is determined through processing of a spare capacity monitoring algorithm and a power distribution algorithm based on the region injection error value.
According to the method, the automatic power generation control is carried out on the multi-region interconnected power system according to the control method based on the safety guidance, so that the region injection error can be rapidly reduced, and the stability of the multi-region interconnected power system can be improved.
In an alternative embodiment, when the target optimization control method is a control method based on safety guidance, determining an optimized automatic power generation control result of the multi-region interconnected power system based on the region injection error value and processed by a spare capacity monitoring algorithm and a power distribution algorithm, includes:
when the target optimization control method is a control method based on safety guidance, determining the standby capacity of each standby unit in the multi-region interconnected power system by using a standby capacity monitoring algorithm; acquiring a load ascending sequence range and a load descending sequence range of each generator set in the multi-region interconnected power system; processing by a power distribution algorithm based on each spare capacity, each load ascending order range and each load descending order range to obtain a power distribution result; and based on the power distribution result, utilizing each standby unit and each generator set to perform automatic power generation control on the multi-region interconnected power system, and obtaining an optimized automatic power generation control result.
According to the method, the multi-region interconnected power system is automatically controlled in a power generation mode according to the control method based on safety guidance, the application sequence of the generator set and the standby set can be dynamically adjusted through the standby capacity monitoring algorithm and the power distribution algorithm, the power distribution result of each set is determined, and further the region injection error can be rapidly reduced and the stability of the multi-region interconnected power system can be improved when the multi-region interconnected power system is automatically controlled in power generation mode.
In a second aspect, the present invention provides an optimizing apparatus for automatic power generation control for a multi-zone interconnected power system; the device comprises:
the acquisition module is used for acquiring a space state model and a regional control error of the multi-region interconnected power system; the processing and constructing module is used for constructing an area injection error based on the area control error and processed by a preset error reconstruction method; the acquisition and processing module is used for acquiring a power data set and an area injection error of the multi-area interconnection power system, and acquiring an area injection error value through space state model processing; the determining module is used for determining a target optimization control method based on the region injection error value; and the optimizing module is used for carrying out automatic power generation control on the multi-region interconnected power system by utilizing the target optimizing control method based on the region injection error value to obtain an optimized automatic power generation control result.
In an alternative embodiment, the obtaining module includes:
the building sub-module is used for building a space state model of the multi-region interconnection power system; and the construction submodule is used for constructing the regional control error based on the space state model.
In an alternative embodiment, a processing and building module includes:
the conversion processing sub-module is used for converting the region control error by using a small signal analysis method to obtain a target region control error; the replacement and construction sub-module is used for constructing the regional injection error by utilizing the machine end power, the target regional control error and the regional control error of the unit in the multi-regional interconnection power system.
In an alternative embodiment, the acquiring and processing module includes:
a first determination submodule for determining a target load frequency control algorithm based on the region injection error; the first processing sub-module is used for processing the electric power data set through the space state model to obtain an electric power network deviation value; and the second processing sub-module is used for processing the power data set and the power network deviation value through a target load frequency control algorithm to obtain a regional injection error value.
In a third aspect, the present invention provides a computer device comprising: the device comprises a memory and a processor, wherein the memory and the processor are in communication connection, the memory stores computer instructions, and the processor executes the computer instructions, so that the optimization method of the automatic power generation control in the first aspect or any corresponding embodiment of the first aspect is executed.
In a fourth aspect, the present invention provides a computer-readable storage medium having stored thereon computer instructions for causing a computer to execute the optimization method of the automatic power generation control of the first aspect or any one of its corresponding embodiments.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of an optimization method of automatic power generation control according to an embodiment of the present invention;
FIG. 2 is a flow chart of another method of optimizing automatic power generation control according to an embodiment of the present invention;
FIG. 3 is a flow chart of yet another method of optimizing automatic power generation control in accordance with an embodiment of the present invention;
FIG. 4 is a schematic diagram of a two-area four-machine simulation system in accordance with an embodiment of the present invention;
FIG. 5 is a schematic diagram showing the comparison of voltage fluctuations at the machine side according to an embodiment of the present invention;
FIG. 6 is a block diagram of an optimizing apparatus for automatic power generation control according to an embodiment of the present invention;
fig. 7 is a schematic diagram of a hardware structure of a computer device according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The traditional automatic power generation control method adopts regional control errors to control the standby unit, but only aims at a power system mainly based on conventional energy, the standby unit is stiff in the process of use, and different standby unit use mechanisms cannot be distinguished; the traditional automatic power generation control has electromechanical oscillation caused by error signal calculation errors and measurement errors; the capacity of the standby unit in the traditional automatic power generation control is not flexible enough to be used, and the self-adaptive optimization cannot be realized; the traditional automatic power generation control lacks consideration of nonlinear response of a turbine speed regulator of a generator set; in the traditional automatic power generation control algorithm, the output of each standby unit is fixed, and self-adaptive correction cannot be realized.
According to an embodiment of the present invention, there is provided an embodiment of an optimization method for automatic power generation control, it being noted that the steps shown in the flowcharts of the drawings may be performed in a computer system such as a set of computer executable instructions, and that although a logical order is shown in the flowcharts, in some cases the steps shown or described may be performed in an order different from that herein.
In this embodiment, an optimization method of automatic power generation control is provided for a multi-region interconnected power system, and fig. 1 is a flowchart of an optimization method of automatic power generation control according to an embodiment of the present invention, as shown in fig. 1, where the flowchart includes the following steps:
step S101, a space state model and a regional control error of the multi-region interconnected power system are obtained.
The space state model is used for describing the state of automatic power generation control of the multi-region interconnected power system; the regional control error is used for realizing stable operation of automatic power generation control of the multi-region interconnected power system.
Step S102, based on the region control error, the region injection error is constructed through processing by a preset error reconstruction method.
Specifically, the conventional automatic power generation method slowly adjusts the power generation level through a low gain integral controller to correct the zone control error to zero. However, because there is an error between the calculated data and the actual measured data of each parameter in the area control error, electromechanical oscillation is easily caused in the automatic power generation control process, so in this embodiment, the area control error is reconstructed by using the preset error reconstruction method, so as to obtain the area injection error, so as to realize more accurate and smooth automatic power generation control.
Step S103, acquiring a power data set and a regional injection error of the multi-region interconnected power system, and obtaining a regional injection error value through space state model processing.
The power data may include parallel line flow, measured frequency, link line flow, frequency, static structure data, and the like.
Specifically, based on the acquired power data set of the multi-region interconnected power system and in combination with the reconstructed region injection error, the corresponding region injection error value can be calculated through spatial state model processing.
Step S104, determining a target optimization control method based on the region injection error value.
Specifically, different target optimization control methods can be selected according to the calculated regional injection error value, and a basis can be provided for optimizing the automatic power generation control result at the subsequent time.
Step S105, based on the regional injection error value, performing automatic power generation control on the multi-region interconnected power system by using a target optimization control method to obtain an optimized automatic power generation control result.
Specifically, the automatic power generation control is performed on the multi-region interconnected power system by using different selected target optimization control methods, so that the accuracy and precision of the automatic power generation control result of the multi-region interconnected power system can be improved, and the optimization of the automatic power generation control result is further realized.
According to the optimization method for automatic power generation control, the regional injection error is obtained by reconstructing the regional control error, so that electromechanical oscillation in the error signal calculation process is avoided. Further, the target optimization control method is determined according to the calculated regional injection error value, so that the accuracy and precision of an automatic power generation control result of the multi-regional interconnected power system are improved, and the optimization of the automatic power generation control result is realized.
In this embodiment, an optimization method of automatic power generation control is provided for a multi-region interconnected power system, and fig. 2 is a flowchart of an optimization method of automatic power generation control according to an embodiment of the present invention, as shown in fig. 2, where the flowchart includes the following steps:
step S201, acquiring a spatial state model and a regional control error of the multi-region interconnected power system.
Specifically, the step S201 includes:
in step S2011, a spatial state model of the multi-region interconnection power system is established.
In particular, it is assumed that any multi-zone interconnected power system network having n zones and t tie lines has n nodes and t edges, and the power system network is described using an n×n matrix connection matrix Ad.
Wherein,ad is an n×n matrix, for any element in Ad, if nodes i and j are connected, thenOtherwise. For a directed power network, if +.>Then->. Thus, the number of links in a network consisting of n zones is shown in relation (1) as follows:
（1）
further, in order to realize automatic power generation control, it is assumed that the network node voltage is constant and the interconnecting lines remain in a lossless state all the time.
Further, under the above assumption, the dynamics of each control region in the multi-region interconnected power system is given by a standard linearization model, and the variation of the power network frequency is given by each nodeiThe wobble equation is given, wherein the wobble equation is shown in the following relation (2):
（2）
wherein for any area：/>Representing the inertia constant +.>Representing a damping constant; />Representing a power network frequency deviation; />Indicating a change in the output of the nominal value; />Representing load changes; />Representing the sum of deviations of the predetermined output power to all adjacent jth zones; />Representing the sum of the deviation of the predetermined input power to the i-th region and the deviations of all neighboring rth regions.
Further, in the case of a power plant,the total deviation caused by the change of the output and the load demand of the new energy power station is represented as the following relation (3):
（3）
Wherein:indicating a change in output; />Indicating a change in load demand.
Further, the dynamics of the generator and governor output deviations are shown in the following relationships (4) and (5), respectively:
（4）
（5）
wherein:representing generator output bias; />A time constant representing the turbine; />Indicating the variation of the speed regulator output; />A time constant representing the governor; />Representing the primary feedback gain, i.e., droop characteristics; />Representing the control input of the governor.
Further, the dynamic expression of the flow deviation of any tie line of the multi-region interconnection power system is shown in the following relational expression (6):
（6）
wherein:representing the sensitivity of the actual power flow to frequency disturbances, depending on the node +.>And->Voltage at and line reactance.
Further, the equations for each node in the network are assembled to form a centralized state space model in the interconnected network, i.e., a space state model, as shown in the following relationship (7):
（7）
wherein:、/>、/>the expression variable is represented by the following relational expression (8):
（8）
further, the method comprises the steps of,the state matrix is represented by the following relational expression (9):
（9）
the variables in the above formulas are represented by the following formulas (10) to (14), respectively:
（10）
（11）
（12）
wherein,；/>；
（13）
（14）
wherein,；/>。
further, the method comprises the steps of, The state matrix is represented by the following relation (15):
（15）
the variables in the above formula are shown in the following relation (16):
（16）
further, the method comprises the steps of,the state matrix is represented by the following relation (17):
（17）
the variables in the above formula are shown in the following relation (18):
（18）
further, the output vector of the model is represented by the following relational expression (19):
（19）
further, the above-mentioned relational expression (19) can be expressed as the following relational expression (20):
（20）
wherein:
（21）
（22）
（23）
wherein,；/>。
step S2012, constructing a region control error based on the spatial state model.
Specifically, the region control error needs to be constructed to realize the automatic power generation control stable operation, as shown in the following relation (24):
（24）
wherein:representing a zone control error; />A local measurement representing a power network switching deviation;representing the power network frequency deviation, which can be obtained according to a space state model; />Representation area->Is less than the small signal frequency offset of (a).
Step S202, based on the region control error, the region injection error is constructed through processing by a preset error reconstruction method.
Specifically, the step S202 includes:
in step S2021, the region control error is converted by using a small signal analysis method, so as to obtain the target region control error.
Specifically, the region control error represented by the above-described relational expression (24) is converted into the following relational expression (25), that is, the target region control error, by a small signal analysis method:
（25）
wherein:indicate->Voltage deviation (voltage fluctuation) of individual areas; />Indicate->Load deviation (load fluctuation) of individual regions.
In step S2022, the regional injection error is constructed by using the machine side power, the target regional control error and the regional control error of the unit in the multi-regional interconnection power system.
Specifically, assuming that the power of each unit machine side is measurable, the region injection error can be constructed according to the above-mentioned relations (23) and (24), as shown in the following relation (26):
（26）
wherein:representing region injection errors; />Representing a direct measurement value of the power of the machine side; />Representing the small signal frequency offset, compared to the zone control error, delete +.>The linear turbine governor droop model in (1) and replacing it with a direct measure of machine side power +.>。
Further, the present embodiment allows for zone injection errors to take into account nonlinear turbine governor response; during actual calculation, the small signal frequency biasThe method can be set to be 1% of a load peak value, the robustness of the system to power measurement errors in the secondary frequency modulation process is improved, and compared with regional control errors, the used regional injection errors can be closer to real deviation characteristics.
Step S203, a power data set and a regional injection error of the multi-region interconnected power system are obtained, and a regional injection error value is obtained through space state model processing.
Specifically, the step S203 includes:
s2031, determining a target load frequency control algorithm based on the region injection error.
Specifically, the load frequency control algorithm is used to adjust the multi-zone interconnected power system frequency to a nominal value (e.g., 50 HZ) or/and maintain the zone link exchange power at a planned value.
Further, in this embodiment, the constructed multi-region interconnection power system is integrated in the load frequency control algorithm to form a corresponding target load frequency control algorithm.
S2032, processing the power data set through a space state model to obtain a power network deviation value.
Specifically, after the power data set is input into the space state model established in the step S2011, the power network deviation value can be calculated。
S2033, processing the power data set and the power network deviation value through a target load frequency control algorithm to obtain a regional injection error value.
Wherein the electric power data set can also comprise a directly measured machine end power value。
Specifically, according to the power data set and the power network deviation value, the region injection error can be calculated by using the region injection error in the target load frequency control algorithm.
Step S204, determining a target optimization control method based on the region injection error value.
Specifically, the step S204 includes:
in step S2041, the region injection error value is compared with a preset threshold.
Specifically, it is determined whether the calculated region injection error value exceeds a preset threshold.
In step S2042, when the region injection error value is smaller than the preset threshold, the target optimization control method is determined to be a control method based on market guidance.
Specifically, when the region injection error value is smaller than a preset threshold value, a control method based on market guidance is regarded as a target optimization control method.
In step S2043, when the region injection error value is greater than or equal to the preset threshold, the target optimization control method is determined to be a control method based on safety guidance.
Specifically, when the region injection error value exceeds a preset threshold, that is, the region injection error value is greater than or equal to the preset threshold, the control method based on the safety guidance is regarded as the target optimization control method.
Step S205, based on the regional injection error value, performing automatic power generation control on the multi-region interconnected power system by using a target optimization control method to obtain an optimized automatic power generation control result. Please refer to step S105 in the embodiment shown in fig. 1 in detail, which is not described herein.
According to the optimization method for automatic power generation control, the regional injection error is obtained by constructing the machine end power of the unit in the multi-region interconnected power system, the regional injection error value can be calculated more accurately and smoothly by directly measuring the machine end power, and then electromechanical oscillation in the error signal calculation process can be avoided. Meanwhile, the nonlinearity of the turbine speed regulator of the generator set is taken into consideration in the regional injection error, so that the accuracy and precision of the response of the control method to the turbine speed regulator are improved. Further, the target optimization control method is determined according to the calculated regional injection error value, so that the accuracy and precision of an automatic power generation control result of the multi-regional interconnected power system are improved, and the optimization of the automatic power generation control result is realized.
In this embodiment, an optimization method of automatic power generation control is provided for a multi-region interconnected power system, and fig. 3 is a flowchart of an optimization method of automatic power generation control according to an embodiment of the present invention, as shown in fig. 3, where the flowchart includes the following steps:
step S301, acquiring a spatial state model and a regional control error of the multi-region interconnected power system. Please refer to step S201 in the embodiment shown in fig. 2 in detail, which is not described herein.
Step S302, based on the region control error, the region injection error is constructed through processing of a preset error reconstruction method. Please refer to step S202 in the embodiment shown in fig. 2, which is not described herein.
Step S303, acquiring a power data set and a regional injection error of the multi-region interconnected power system, and obtaining a regional injection error value through space state model processing. Please refer to step S203 in the embodiment shown in fig. 2 in detail, which is not described herein.
Step S304, determining a target optimization control method based on the region injection error value. Please refer to step S204 in the embodiment shown in fig. 2 in detail, which is not described herein.
Step S305, based on the regional injection error value, performing automatic power generation control on the multi-region interconnected power system by using a target optimization control method to obtain an optimized automatic power generation control result.
Specifically, the step S305 includes:
in step S3051, when the target optimization control method is a market-oriented control method, a target backup unit is selected in the multi-region interconnected power system according to the starting speed.
Specifically, the market-oriented control method requires that the hourly operation schedule of each type of power station be determined by the market in the daytime according to a spare capacity monitoring mechanism.
Therefore, when the target optimization control method is a control method based on market guidance, the standby unit with the highest starting speed is put into use first so as to quickly reduce the regional injection error.
The standby unit with the highest starting speed is the target standby unit selected in the multi-region interconnection power system.
And step S3052, performing automatic power generation control by using the target standby unit until the regional injection error value is zero, and obtaining an optimized automatic power generation control result.
Specifically, the selected target standby unit is utilized to perform automatic power generation control, and the region injection error is rapidly reduced until the region injection error value is reduced to 0, so that an optimized automatic power generation control result is obtained.
In step S3053, when the target optimization control method is a control method based on safety guidance, the optimized automatic power generation control result of the multi-region interconnected power system is determined based on the region injection error value and processed by the spare capacity monitoring algorithm and the power distribution algorithm.
Specifically, when the target optimization control method is a control method based on safety guidance, a standby capacity monitoring algorithm and a power distribution algorithm are started to process in the automatic power generation process until an optimized automatic power generation control result is obtained.
In some alternative embodiments, the step S3052 includes:
and a1, repeatedly selecting a target standby unit in the multi-region interconnected power system according to the starting speed, and performing automatic power generation control operation by using the target standby unit until each target standby unit in the multi-region interconnected power system is started, and judging whether the region injection error value is zero.
And a2, selecting at least one other standby unit in the multi-zone interconnected power system according to the starting speed when the zone injection error value is not zero.
And a3, performing automatic power generation control by using each other standby unit until the regional injection error value is zero, and obtaining an optimized automatic power generation control result.
Specifically, a plurality of target standby units with the fastest starting speed are sequentially selected in the multi-region interconnected power system to perform automatic power generation control, when all the target standby units with the fastest starting speed are put into use, if the regional injection error value is not 0 at the moment, the rest units with slower starting speeds are continuously activated, namely, at least one other standby unit is selected in the multi-region interconnected power system according to the starting speed to perform automatic power generation control until the regional injection error value is reduced to 0, and an optimized automatic power generation control result is obtained.
In some alternative embodiments, the step S3053 includes:
and b1, when the target optimization control method is a control method based on safety guidance, determining the standby capacity of each standby unit in the multi-region interconnected power system by using a standby capacity monitoring algorithm.
And b2, acquiring a load ascending sequence range and a load descending sequence range of each generator set in the multi-region interconnected power system.
And b3, processing by a power distribution algorithm based on each spare capacity, each load ascending order range and each load descending order range to obtain a power distribution result.
And b4, based on the power distribution result, utilizing each standby unit and each generator unit to perform automatic power generation control on the multi-region interconnected power system, and obtaining an optimized automatic power generation control result.
Specifically, the spare capacity of each spare unit in the multi-region interconnected power system can be obtained by using a capacity monitoring algorithm, and the spare capacities can be classified according to the spare capacities;
further, the power distribution algorithm distributes the calculated regional injection error to the corresponding generator set for automatic power generation control according to the load ascending order and the load descending order range of the generator set and the standby capacity of the standby set until the regional injection error value is reduced to 0, and an optimized automatic power generation control result is obtained.
Further, in the conventional automatic power generation control algorithm, the output of each standby unit is fixed, and self-adaptive correction cannot be realized. In this embodiment, in order to implement adaptive optimization control of the algorithm, an adaptive output factor is provided, and the constraint condition shown in the following relational expression (27) is satisfied:
（27）
wherein:indicate->The output factors of the generator sets change; />Indicate->The actual output of the individual generator sets.
According to the optimization method for automatic power generation control, provided by the embodiment, the self-adaptive optimization control method based on market guidance and safety guidance is utilized, the application sequence and the capacity of the standby unit can be dynamically adjusted according to the starting speed and the standby capacity monitoring of the standby unit, and then the regional injection error can be rapidly reduced and the stability of the multi-region interconnected power system can be improved when the multi-region interconnected power system is subjected to automatic power generation control.
In an example, a two-area four-machine simulation system is established to perform simulation, so as to verify the optimization method of automatic power generation control provided by the embodiment of the invention. The two-area four-machine simulation system is shown in fig. 4.
In particular, the simulation was implemented in Simscape Electrical of MATLAB. The generators G1 and G3 (both are new energy power stations) are arranged to participate in automatic power generation control. The load of 60 MW is increased at the 7 th bus of the area 1 at the 10 th second after the simulation is started, and the voltage change condition of the generator G1 and the generator G3 under the conventional automatic power generation control and the optimization method of the automatic power generation control provided by the above embodiment of the present invention is observed, and the result is shown in fig. 5.
The black dotted line in fig. 5 is the voltage change condition of the terminal under the conventional automatic power generation control method, and the black solid line is the voltage change condition of the terminal under the optimization method of the automatic power generation control provided by the embodiment of the invention.
Further, as can be seen from fig. 5, after the optimization method of the automatic power generation control according to the above embodiment of the present invention is applied, the voltage fluctuation amplitude and duration of the machine side are greatly shortened compared with those of the conventional automatic power generation control method, and the effectiveness of the optimization method of the automatic power generation control according to the above embodiment of the present invention is verified.
In this embodiment, an optimizing device for automatic power generation control is further provided, and the device is used to implement the foregoing embodiments and preferred embodiments, and will not be described again. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. While the means described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware, is also possible and contemplated.
The embodiment provides an optimizing device for automatic power generation control, which is used for a multi-region interconnected power system; as shown in fig. 6, includes:
The acquiring module 601 is configured to acquire a spatial state model and a regional control error of the multi-region interconnected power system.
The processing and construction module 602 is configured to process the region control error by a preset error reconstruction method to construct a region injection error.
The acquiring and processing module 603 is configured to acquire a power data set and a regional injection error of the multi-region interconnected power system, and obtain a regional injection error value through spatial state model processing.
A determining module 604, configured to determine a target optimization control method based on the region injection error value.
The optimizing module 605 is configured to perform automatic power generation control on the multi-region interconnected power system by using a target optimizing control method based on the region injection error value, so as to obtain an optimized automatic power generation control result.
In some alternative embodiments, the obtaining module 601 includes:
and the building sub-module is used for building a space state model of the multi-region interconnection power system.
And the construction submodule is used for constructing the regional control error based on the space state model.
In some alternative embodiments, the processing and construction module 602 includes:
and the conversion processing sub-module is used for converting the region control error by using a small signal analysis method to obtain a target region control error.
The replacement and construction sub-module is used for constructing the regional injection error by utilizing the machine end power, the target regional control error and the regional control error of the unit in the multi-regional interconnection power system.
In some alternative embodiments, the acquiring and processing module 603 includes:
a first determination submodule for determining a target load frequency control algorithm based on the zone injection error.
And the first processing sub-module is used for processing the electric power data set through the space state model to obtain an electric power network deviation value.
And the second processing sub-module is used for processing the power data set and the power network deviation value through a target load frequency control algorithm to obtain a regional injection error value.
In some alternative embodiments, the determining module 604 includes:
and the comparison sub-module is used for comparing the region injection error value with a preset threshold value.
And the second determining submodule is used for determining that the target optimization control method is a control method based on market guidance when the regional injection error value is smaller than a preset threshold value.
And the third determining submodule is used for determining that the target optimization control method is a control method based on safety guidance when the region injection error value is greater than or equal to a preset threshold value.
In some alternative embodiments, the optimization module 605 includes:
and the selecting sub-module is used for selecting a target standby unit in the multi-region interconnected power system according to the starting speed when the target optimal control method is a control method based on market guidance.
And the optimization control sub-module is used for performing automatic power generation control by utilizing the target standby unit until the regional injection error value is zero, and obtaining an optimized automatic power generation control result.
In some alternative embodiments, the optimization control sub-module includes:
and the repeating and judging unit is used for repeatedly selecting a target standby unit in the multi-region interconnected power system according to the starting speed, and utilizing the target standby unit to perform automatic power generation control operation until each target standby unit in the multi-region interconnected power system is started, and judging whether the region injection error value is zero or not.
And the selection unit is used for selecting at least one other standby unit according to the starting speed in the multi-zone interconnection power system when the zone injection error value is not zero.
And the first control unit is used for performing automatic power generation control by using each other standby unit until the regional injection error value is zero, and obtaining an optimized automatic power generation control result.
In some alternative embodiments, the optimization module 605 further comprises:
and the processing and determining sub-module is used for determining an optimized automatic power generation control result of the multi-region interconnected power system through processing of a spare capacity monitoring algorithm and a power distribution algorithm based on the region injection error value when the target optimization control method is a control method based on safety guidance.
In some alternative embodiments, processing and determining the sub-module includes:
and the determining unit is used for determining the standby capacity of each standby unit in the multi-region interconnected power system by using a standby capacity monitoring algorithm when the target optimal control method is a safety-oriented control method.
And the acquisition unit is used for acquiring the load ascending order range and the load descending order range of each generator set in the multi-region interconnected power system.
And the processing unit is used for obtaining a power distribution result through power distribution algorithm processing based on each spare capacity, each load ascending order range and each load descending order range.
And the second control unit is used for carrying out automatic power generation control on the multi-region interconnected power system by utilizing each standby unit and each generator unit based on the power distribution result to obtain an optimized automatic power generation control result.
Further functional descriptions of the above respective modules and units are the same as those of the above corresponding embodiments, and are not repeated here.
The optimizing means of the automatic power generation control in this embodiment is presented in the form of functional units, where the units refer to ASIC (Application Specific Integrated Circuit ) circuits, processors and memories executing one or more software or fixed programs, and/or other devices that can provide the above described functions.
The embodiment of the invention also provides computer equipment, which is provided with the optimizing device for automatic power generation control shown in the figure 6.
Referring to fig. 7, fig. 7 is a schematic structural diagram of a computer device according to an alternative embodiment of the present invention, as shown in fig. 7, the computer device includes: one or more processors 10, memory 20, and interfaces for connecting the various components, including high-speed interfaces and low-speed interfaces. The various components are communicatively coupled to each other using different buses and may be mounted on a common motherboard or in other manners as desired. The processor may process instructions executing within the computer device, including instructions stored in or on memory to display graphical information of the GUI on an external input/output device, such as a display device coupled to the interface. In some alternative embodiments, multiple processors and/or multiple buses may be used, if desired, along with multiple memories and multiple memories. Also, multiple computer devices may be connected, each providing a portion of the necessary operations (e.g., as a server array, a set of blade servers, or a multiprocessor system). One processor 10 is illustrated in fig. 7.
The processor 10 may be a central processor, a network processor, or a combination thereof. The processor 10 may further include a hardware chip, among others. The hardware chip may be an application specific integrated circuit, a programmable logic device, or a combination thereof. The programmable logic device may be a complex programmable logic device, a field programmable gate array, a general-purpose array logic, or any combination thereof.
Wherein the memory 20 stores instructions executable by the at least one processor 10 to cause the at least one processor 10 to perform a method for implementing the embodiments described above.
The memory 20 may include a storage program area that may store an operating system, at least one application program required for functions, and a storage data area; the storage data area may store data created according to the use of the computer device, etc. In addition, the memory 20 may include high-speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid-state storage device. In some alternative embodiments, memory 20 may optionally include memory located remotely from processor 10, which may be connected to the computer device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
Memory 20 may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as flash memory, hard disk, or solid state disk; the memory 20 may also comprise a combination of the above types of memories.
The computer device also includes a communication interface 30 for the computer device to communicate with other devices or communication networks.
The embodiments of the present invention also provide a computer readable storage medium, and the method according to the embodiments of the present invention described above may be implemented in hardware, firmware, or as a computer code which may be recorded on a storage medium, or as original stored in a remote storage medium or a non-transitory machine readable storage medium downloaded through a network and to be stored in a local storage medium, so that the method described herein may be stored on such software process on a storage medium using a general purpose computer, a special purpose processor, or programmable or special purpose hardware. The storage medium can be a magnetic disk, an optical disk, a read-only memory, a random access memory, a flash memory, a hard disk, a solid state disk or the like; further, the storage medium may also comprise a combination of memories of the kind described above. It will be appreciated that a computer, processor, microprocessor controller or programmable hardware includes a storage element that can store or receive software or computer code that, when accessed and executed by the computer, processor or hardware, implements the methods illustrated by the above embodiments.
Although embodiments of the present invention have been described in connection with the accompanying drawings, various modifications and variations may be made by those skilled in the art without departing from the spirit and scope of the invention, and such modifications and variations fall within the scope of the invention as defined by the appended claims.
Claims (8)
1. An optimization method for automatic power generation control is used for a multi-region interconnected power system; characterized in that the method comprises:
acquiring a space state model and a regional control error of the multi-region interconnected power system;
based on the region control error, processing by a preset error reconstruction method, and constructing a region injection error;
acquiring a power data set of the multi-region interconnected power system and the region injection error, and processing the power data set and the region injection error by the space state model to obtain a region injection error value;
determining a target optimization control method based on the region injection error value;
based on the regional injection error value, performing automatic power generation control on the multi-regional interconnected power system by using the target optimization control method to obtain an optimized automatic power generation control result;
based on the region control error, processing by a preset error reconstruction method, and constructing a region injection error, wherein the method comprises the following steps:
Converting the regional control error by using a small signal analysis method to obtain a target regional control error;
constructing the regional injection error by using the machine end power of the unit in the multi-region interconnection power system, the target region control error and the regional control error;
acquiring the power data set and the regional injection error of the multi-region interconnected power system, and processing the regional injection error by the space state model to obtain a regional injection error value, wherein the method comprises the following steps of:
determining a target load frequency control algorithm based on the region injection error;
processing the electric power data set through the space state model to obtain an electric power network deviation value;
processing the power data set and the power network deviation value through the target load frequency control algorithm to obtain the region injection error value;
determining a target optimization control method based on the region injection error value, comprising the following steps:
comparing the region injection error value with a preset threshold value;
when the regional injection error value is smaller than the preset threshold value, determining that the target optimization control method is a control method based on market guidance;
when the region injection error value is greater than or equal to the preset threshold value, determining that the target optimization control method is a control method based on safety guidance;
Based on the regional injection error value, performing automatic power generation control on the multi-region interconnected power system by using the target optimization control method to obtain an optimized automatic power generation control result, wherein the method comprises the following steps:
when the target optimal control method is a control method based on market guidance, selecting a target standby unit in the multi-region interconnected power system according to a starting speed;
performing automatic power generation control by using the target standby unit until the injection error value of the region is zero, and obtaining an optimized automatic power generation control result;
when the target optimization control method is a control method based on safety guidance, the optimized automatic power generation control result of the multi-region interconnected power system is determined through processing of a spare capacity monitoring algorithm and a power distribution algorithm based on the region injection error value.
2. The method of claim 1, wherein obtaining a spatial state model and a zone control error of the multi-zone interconnected power system comprises:
establishing the spatial state model of the multi-region interconnected power system;
and constructing the regional control error based on the spatial state model.
3. The method of claim 1, wherein performing automatic power generation control with the target backup unit until the zone injection error value is zero, and obtaining the optimized automatic power generation control result, comprises:
repeatedly selecting a target standby unit in the multi-region interconnected power system according to the starting speed, and performing automatic power generation control operation by utilizing the target standby unit until each target standby unit in the multi-region interconnected power system is started, and judging whether the region injection error value is zero or not;
when the regional injection error value is not zero, selecting at least one other standby unit in the multi-region interconnected power system according to the starting speed;
and performing automatic power generation control by using each other standby unit until the injection error value of the region is zero, and obtaining the optimized automatic power generation control result.
4. The method of claim 1, wherein when the target optimization control method is a safety-oriented control method, determining the optimized automatic generation control result of the multi-zone interconnected power system based on the zone injection error value, processed by a spare capacity monitoring algorithm and a power distribution algorithm, comprises:
When the target optimization control method is a control method based on safety guidance, determining the standby capacity of each standby unit in the multi-region interconnected power system by using the standby capacity monitoring algorithm;
acquiring a load ascending order range and a load descending order range of each generator set in the multi-region interconnected power system;
processing by the power allocation algorithm based on each spare capacity, each load ascending order range and each load descending order range to obtain a power allocation result;
and based on the power distribution result, performing automatic power generation control on the multi-region interconnected power system by utilizing each standby unit and each generator unit to obtain an optimized automatic power generation control result.
5. An optimizing device for automatic power generation control is used for a multi-region interconnected power system; characterized in that the device comprises:
the acquisition module is used for acquiring a space state model and a regional control error of the multi-region interconnected power system;
the processing and constructing module is used for constructing an area injection error based on the area control error and processed by a preset error reconstruction method;
The acquisition and processing module is used for acquiring a power data set of the multi-region interconnected power system and the region injection error, and obtaining a region injection error value through the space state model processing;
the determining module is used for determining a target optimization control method based on the region injection error value;
the optimizing module is used for carrying out automatic power generation control on the multi-region interconnected power system by utilizing the target optimizing control method based on the region injection error value to obtain an optimized automatic power generation control result;
the processing and construction module comprises:
the conversion processing sub-module is used for converting the regional control error by using a small signal analysis method to obtain a target regional control error;
the replacement and construction sub-module is used for constructing the regional injection error by utilizing the machine end power of the unit in the multi-region interconnection power system, the target regional control error and the regional control error;
the acquisition and processing module comprises:
a first determination submodule for determining a target load frequency control algorithm based on the region injection error;
the first processing sub-module is used for processing the electric power data set through the space state model to obtain an electric power network deviation value;
The second processing sub-module is used for processing the power data set and the power network deviation value through the target load frequency control algorithm to obtain the region injection error value;
the determining module includes:
the comparison sub-module is used for comparing the region injection error value with a preset threshold value;
the second determining submodule is used for determining that the target optimization control method is a control method based on market guidance when the regional injection error value is smaller than a preset threshold value;
the third determining submodule is used for determining that the target optimization control method is a control method based on safety guidance when the region injection error value is greater than or equal to a preset threshold value;
the optimization module comprises:
the selecting sub-module is used for selecting a target standby unit in the multi-region interconnected power system according to the starting speed when the target optimal control method is a control method based on market guidance;
the optimization control sub-module is used for performing automatic power generation control by utilizing the target standby unit until the regional injection error value is zero, and obtaining an optimized automatic power generation control result;
and the processing and determining sub-module is used for determining an optimized automatic power generation control result of the multi-region interconnected power system through processing of a spare capacity monitoring algorithm and a power distribution algorithm based on the region injection error value when the target optimization control method is a control method based on safety guidance.
6. The apparatus of claim 5, wherein the acquisition module comprises:
the building sub-module is used for building the space state model of the multi-region interconnection power system;
and the construction submodule is used for constructing the regional control error based on the space state model.
7. A computer device, comprising:
a memory and a processor, the memory and the processor being communicatively connected to each other, the memory having stored therein computer instructions, the processor executing the computer instructions to perform the optimization method of automatic power generation control of any one of claims 1 to 4.
8. A computer-readable storage medium having stored thereon computer instructions for causing a computer to execute the optimization method of the automatic power generation control according to any one of claims 1 to 4.
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