CN116454890A - Combined control method, device and equipment for unit based on SCUC model - Google Patents

Combined control method, device and equipment for unit based on SCUC model Download PDF

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Publication number
CN116454890A
CN116454890A CN202310433118.2A CN202310433118A CN116454890A CN 116454890 A CN116454890 A CN 116454890A CN 202310433118 A CN202310433118 A CN 202310433118A CN 116454890 A CN116454890 A CN 116454890A
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target
power generation
data
historical
unit combination
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CN116454890B (en
Inventor
顾慧杰
刘映尚
江伟
何宇斌
梁寿愚
李金�
王子沛
陈彦光
徐赫锴
饶倩雯
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China Southern Power Grid Co Ltd
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China Southern Power Grid Co Ltd
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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
    • H02J3/04—Circuit arrangements for ac mains or ac distribution networks for connecting networks of the same frequency but supplied from different sources
    • H02J3/06—Controlling transfer of power between connected networks; Controlling sharing of load between connected networks
    • 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
    • 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
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00004—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the power network being locally controlled
    • 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
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
    • H02J13/00016—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment using a wired telecommunication network or a data transmission bus
    • 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
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
    • 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
    • H02J3/004—Generation forecast, e.g. methods or systems for forecasting future energy generation
    • 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
    • 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]
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Computer Hardware Design (AREA)
  • Evolutionary Computation (AREA)
  • Geometry (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The application relates to a method, a device and equipment for controlling unit combination based on a SCUC model. The method comprises the following steps: acquiring target historical unit combination data, wherein the target historical unit combination data is historical unit combination data corresponding to historical power generation data with maximum similarity with the target power generation data; according to the target historical unit combination data, determining an initial solution corresponding to a first integer variable group in a thermal power SCUC model, and carrying out hot start solving processing on the thermal power SCUC model based on the initial solution to obtain thermal power unit combination data, wherein the thermal power SCUC model is constructed based on the target thermal power generation data; and determining target unit combination data corresponding to the target power generation data based on the thermal power unit combination data, wherein the target unit combination data is used for controlling the starting and stopping of each unit in the target power system according to the target unit combination data. By adopting the method, the speed of obtaining the combined data of the target unit can be improved, so that the dispatching efficiency of the power system is high.

Description

Combined control method, device and equipment for unit based on SCUC model
Technical Field
The application relates to the technical field of power systems, in particular to a method, a device and equipment for controlling unit combination based on a SCUC model.
Background
In the dispatching operation process of the power system, in order to ensure the supply and demand balance of the power utilization side and the power generation side and minimize the power generation cost of the power supply side, the power system needs to be subjected to unit combination optimization. The safety-constraint-based unit combination (SCUC) model is generally adopted to determine unit combination data of the power system, and then the starting and stopping of each unit in the power system are controlled based on the obtained unit combination data.
The process of determining the unit combination data of the power system based on the SCUC model is a process of solving the corresponding SCUC model according to the electricity demand data of the electricity utilization side. At present, the method for solving the SCUC model is to use a large-scale computer solving algorithm-branch node method-to carry out iterative solution on the SCUC model by establishing a mixed integer programming problem.
However, the speed of solving the corresponding SCUC model in the unit combination control method in the electric power system is relatively slow, so that the dispatching efficiency of the electric power system is low.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a method, an apparatus, and a device for controlling a unit combination based on a SCUC model, which can improve the dispatching efficiency of a power system.
In a first aspect, the present application provides a method for controlling a crew combination based on a SCUC model. The method comprises the following steps:
acquiring target historical unit combination data, wherein the target historical unit combination data is historical unit combination data corresponding to historical power generation data with maximum similarity with target power generation data, and the target power generation data is power generation demand prediction data of a target power system in a target time period;
according to the target historical unit combination data, determining an initial solution corresponding to a first integer variable group in a thermal power SCUC model, and carrying out hot start solving processing on the thermal power SCUC model based on the initial solution to obtain thermal power unit combination data, wherein the thermal power SCUC model is constructed based on the target thermal power generation data;
and determining target unit combination data corresponding to the target power generation data based on the thermal power unit combination data, wherein the target unit combination data is used for controlling the starting and stopping of each unit in the target power system according to the target unit combination data.
In one embodiment, obtaining the target historical crew combination data includes:
acquiring a historical SCUC model corresponding to each historical power generation data;
solving the historical SCUC model corresponding to the historical power generation data for each historical power generation data to obtain historical unit combination data corresponding to the historical power generation data;
And determining historical unit combination data corresponding to the historical power generation data with the maximum similarity with the target power generation data in the historical power generation data as target historical unit combination data.
In one embodiment, the method further comprises:
acquiring target power generation data;
obtaining target thermal power generation data according to the target power generation data and a preset prediction model;
and constructing a thermal power SCUC model according to the target thermal power generation data.
In one embodiment, obtaining the target thermal power generation data according to the target power generation data and a preset prediction model includes:
inputting the target power generation data into a preset prediction model to obtain other target power generation data corresponding to the target power generation data;
and obtaining target thermal power generation data according to the target power generation data and other target power generation data.
In one embodiment, before performing the hot start solution process on the thermal power SCUC model based on the initial solution, the method further includes:
carrying out feasibility verification on the initial solution to obtain a verification result corresponding to the initial solution;
performing a hot start solution process on the thermal power SCUC model based on the initial solution, including:
and if the verification result is that the verification is passed, carrying out hot start solving processing on the thermal power SCUC model based on the initial solution.
In one embodiment, the method further comprises:
if the verification result is that the verification is not passed, determining an initial solution corresponding to a second integer variable group in the thermal power SCUC model according to the historical unit combination data; the first set of integer variables includes a number of integer variables greater than a number of integer variables included in the second set of integer variables.
In a second aspect, the present application further provides a unit combination control device based on the SCUC model. The device comprises:
the acquisition module is used for acquiring target historical unit combination data, wherein the target historical unit combination data is historical unit combination data corresponding to historical power generation data with maximum similarity with target power generation data, and the target power generation data is power generation demand prediction data of a target power system in a target time period;
the solving module is used for determining an initial solution corresponding to the first integer variable group in the thermal power SCUC model according to the target historical unit combination data, carrying out hot start solving processing on the thermal power SCUC model based on the initial solution to obtain thermal power unit combination data, and constructing the thermal power SCUC model based on the target thermal power generation data;
the determining module is used for determining target unit combination data corresponding to the target power generation data based on the thermal power unit combination data, and the target unit combination data is used for controlling starting and stopping of each unit in the target power system according to the target unit combination data.
In a third aspect, the present application also provides a computer device. The computer device comprises a memory storing a computer program and a processor which when executing the computer program performs the steps of:
acquiring target historical unit combination data, wherein the target historical unit combination data is historical unit combination data corresponding to historical power generation data with maximum similarity with target power generation data, and the target power generation data is power generation demand prediction data of a target power system in a target time period;
according to the target historical unit combination data, determining an initial solution corresponding to a first integer variable group in a thermal power SCUC model, and carrying out hot start solving processing on the thermal power SCUC model based on the initial solution to obtain thermal power unit combination data, wherein the thermal power SCUC model is constructed based on the target thermal power generation data;
and determining target unit combination data corresponding to the target power generation data based on the thermal power unit combination data, wherein the target unit combination data is used for controlling the starting and stopping of each unit in the target power system according to the target unit combination data.
In a fourth aspect, the present application also provides a computer-readable storage medium. The computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:
Acquiring target historical unit combination data, wherein the target historical unit combination data is historical unit combination data corresponding to historical power generation data with maximum similarity with target power generation data, and the target power generation data is power generation demand prediction data of a target power system in a target time period;
according to the target historical unit combination data, determining an initial solution corresponding to a first integer variable group in a thermal power SCUC model, and carrying out hot start solving processing on the thermal power SCUC model based on the initial solution to obtain thermal power unit combination data, wherein the thermal power SCUC model is constructed based on the target thermal power generation data;
and determining target unit combination data corresponding to the target power generation data based on the thermal power unit combination data, wherein the target unit combination data is used for controlling the starting and stopping of each unit in the target power system according to the target unit combination data.
In a fifth aspect, the present application also provides a computer program product. The computer program product comprising a computer program which, when executed by a processor, performs the steps of:
acquiring target historical unit combination data, wherein the target historical unit combination data is historical unit combination data corresponding to historical power generation data with maximum similarity with target power generation data, and the target power generation data is power generation demand prediction data of a target power system in a target time period;
According to the target historical unit combination data, determining an initial solution corresponding to a first integer variable group in a thermal power SCUC model, and carrying out hot start solving processing on the thermal power SCUC model based on the initial solution to obtain thermal power unit combination data, wherein the thermal power SCUC model is constructed based on the target thermal power generation data;
and determining target unit combination data corresponding to the target power generation data based on the thermal power unit combination data, wherein the target unit combination data is used for controlling the starting and stopping of each unit in the target power system according to the target unit combination data.
According to the unit combination control method, the unit combination control device and the unit combination control equipment based on the SCUC model, the target historical unit combination data is the historical unit combination data corresponding to the historical power generation data with the maximum similarity with the target power generation data, and the target power generation data is the power generation demand prediction data of the target power system in the target time period; according to the target historical unit combination data, determining an initial solution corresponding to a first integer variable group in a thermal power SCUC model, and carrying out hot start solving processing on the thermal power SCUC model based on the initial solution to obtain thermal power unit combination data, wherein the thermal power SCUC model is constructed based on the target thermal power generation data; determining target unit combination data corresponding to target power generation data based on the thermal power unit combination data, wherein the target unit combination data is used for controlling starting and stopping of each unit in a target power system according to the target unit combination data, so that the thermal power unit part needs to meet minimum starting and stopping constraint and climbing constraint in the process of determining the target unit combination data, the process of determining the target unit combination data is split into a sub-process of determining the thermal power unit combination data and a sub-process of other unit combination data, an initial solution corresponding to part of integer variables in a thermal power SCUC model is determined through the historical unit combination data corresponding to historical power generation data with maximum similarity to the target power generation data, and the thermal power SCUC model is subjected to hot starting based on the initial solution, so that the solving speed of the thermal power SCUC model is accelerated, and the thermal power unit combination data is obtained; the problem of low dispatching efficiency of the power system caused by the fact that the solving speed of the whole SCUC model is slow because the thermal power unit needs to meet the minimum start-stop constraint and the climbing constraint in the process of directly solving the combined data of the target unit in the traditional technology is avoided; according to the method and the device for determining the thermal power unit combination data, the determining process of the target unit combination data is divided into two solving sub-processes of the thermal power unit combination data and other unit combination data, and the thermal power SCUC model is subjected to hot start to accelerate the solving processing speed of the thermal power SCUC model, so that the speed of obtaining the target unit combination data is improved, and the dispatching efficiency of the power system is high.
Drawings
FIG. 1 is an application environment diagram of a method for controlling a combination of units based on a SCUC model in one embodiment;
FIG. 2 is a flow chart of a method for controlling a combination of units based on a SCUC model in one embodiment;
FIG. 3 is a flowchart illustrating steps for obtaining target historical set combination data in one embodiment;
FIG. 4 is a flow chart of a step of constructing a thermal power SCUC model in one embodiment;
FIG. 5 is a flow chart of the steps for obtaining target thermal power generation data in one embodiment;
FIG. 6 is a schematic flow chart of a method for controlling a crew combination based on a SCUC model in another embodiment;
FIG. 7 is a block diagram of a unit combination control device based on a SCUC model in one embodiment;
fig. 8 is an internal structural diagram of a computer device in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
The unit combination control method based on the SCUC model can be applied to an application environment shown in FIG. 1. Wherein the terminal 102 communicates with the server 104 via a network. The data storage system may store data that the server 104 needs to process. The data storage system may be integrated on the server 104 or may be located on a cloud or other network server. The terminal 102 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, internet of things devices, and portable wearable devices, where the internet of things devices may be smart speakers, smart televisions, smart air conditioners, smart vehicle devices, and the like. The portable wearable device may be a smart watch, smart bracelet, headset, or the like. The server 104 may be implemented as a stand-alone server or as a server cluster of multiple servers.
The terminal 102 acquires target historical unit combination data, wherein the target historical unit combination data is historical unit combination data corresponding to historical power generation data with maximum similarity with target power generation data, and the target power generation data is power generation demand prediction data of a target power system in a target time period; according to the target historical unit combination data, determining an initial solution corresponding to a first integer variable group in a thermal power SCUC model, and carrying out hot start solving processing on the thermal power SCUC model based on the initial solution to obtain thermal power unit combination data, wherein the thermal power SCUC model is constructed based on the target thermal power generation data; and determining target unit combination data corresponding to the target power generation data based on the thermal power unit combination data, wherein the target unit combination data is used for controlling the starting and stopping of each unit in the target power system according to the target unit combination data.
In one embodiment, as shown in fig. 2, a method for controlling a unit combination based on a SCUC model is provided, and this embodiment is applied to a terminal for illustration, and it will be understood that the method may also be applied to a server. In this embodiment, the method includes the steps of:
and 202, acquiring target historical unit combination data.
The target historical unit combination data are historical unit combination data corresponding to the historical power generation data with the maximum similarity with the target power generation data; the target power generation data is power generation demand prediction data of the target power system in a target time period. The historical power generation data is power generation demand prediction data or power generation demand actual data in each time period in the historical period of the target power system. In the field of electric power systems, the target power generation data may also be referred to as load prediction data of the target electric power system in the target period.
The scheduling time period of the target power system is 2 days, the target time period is 2 days in the future, the target power generation data is power generation demand prediction data of the target power system in the 2 days in the future, the historical power generation data is power generation demand prediction data or power generation demand actual data of the target power system every 2 days in the historical period, for example, the historical power generation data is power generation demand prediction data or power generation demand actual data of the target power system every day in the past year.
The method comprises the steps that each historical power generation data and historical unit combination data corresponding to each historical power generation data are prestored in a terminal; and the terminal carries out similarity measurement on the target power generation data in each historical power generation data, and determines the historical unit combination data corresponding to the historical power generation data with the highest similarity of the target power generation data as the target historical unit combination data.
The unit combination data includes a switch state combination of each generator unit (thermal power generator unit, other units) of the target power system, and is exemplified by 2 being on and 0 being off. The other units can comprise a hydroelectric generating set and a new energy generating set.
The historical unit combination data is unit combination data corresponding to historical power generation data. The historical unit combination data can be determined by collecting actual unit combination conditions of the same day, and can also be obtained by calculation according to historical power generation data and a corresponding historical SCUC model; and the optimal solution of the historical SCUC model is the unit combination data corresponding to the historical power generation data. Wherein, a historical power generation data and a corresponding historical set combination data may be referred to as a historical calculation, and a target power generation data and a final determined target set combination data may be referred to as a target calculation.
An example is understood to be a simulated calculation case. For example, today one-time power market clearing calculation is required, and then the set of crew combination data required for calculation using the SCUC model is referred to as the current day calculation example.
The predicted data of the power generation requirements of the target power system have similarity under similar environments, and the historical unit combination data has reference to the current target unit combination data. According to the embodiment, the historical unit combination data corresponding to the historical power generation data with the maximum similarity of the target power generation data is obtained and used as the target historical unit combination data for carrying out acceleration solving on a subsequent thermal power SCUC model so as to improve the speed of obtaining the target unit combination data.
And 204, determining an initial solution corresponding to the first integer variable group in the thermal power SCUC model according to the target historical unit combination data, and carrying out hot start solving processing on the thermal power SCUC model based on the initial solution to obtain thermal power unit combination data.
The thermal power SCUC model is constructed based on target thermal power generation data, and the process of determining target unit combination data corresponding to the target power generation data is divided into two sub-processes of determining thermal power unit combination data and other unit combination data in the embodiment of the application. The other unit combination data can comprise hydroelectric unit combination data and new energy unit combination data.
In the traditional unit combination control method based on the SCUC model, a target SCUC model of a target power system is built based on target power generation data, the target SCUC model is solved, target unit combination data corresponding to the target power system and corresponding to the target power generation data are obtained, and starting and stopping of each unit in the target power system are controlled according to the target unit combination data. The target SCUC model is obtained by combining and solving the starting and stopping states of all generator sets of the target power system. In the conventional unit combination control method based on the SCUC model, the solving process of the target SCUC model is to establish a mixed integer programming problem, and a large-scale computer solving algorithm-Branch definition method (Branch and Cut) is used, and definition (Cut) for integer variables is added after each step of relaxation calculation. Because the thermal power generating unit additionally meets the minimum start-stop constraint and the climbing constraint, the solving difficulty of the target SCUC model is very high.
The minimum start-stop constraint refers to a minimum start-time constraint to be observed when a motor in the thermal generator set is started and closed; the climbing constraint refers to that a motor in the thermal generator set cannot be adjusted along with changes and a certain force rising constraint is required to be followed.
Aiming at the problem that in the SCUC model solving process of the traditional method, the difficulty of the solving process of the part of the thermal power generating unit is relatively high, the embodiment of the application constructs a thermal power SCUC model according to the target thermal power generating data and independently solves the thermal power generating unit combination data; and determining an initial solution corresponding to the first integer variable group in the thermal power SCUC model according to the solution corresponding to the integer variable in the target historical unit combination data. The target historical unit combination data is historical unit combination data corresponding to historical power generation data with highest similarity to the target power generation data, an initial solution corresponding to part of integer variables in the thermal power SCUC model is determined by using a solution corresponding to the integer variables in the target historical unit combination data, and the thermal power SCUC model is subjected to hot start solution based on the initial solution, so that the solution speed of the thermal power SCUC model can be accelerated, and the thermal power unit combination data is obtained.
The hot start solving process is to set an initial solution for the constructed mathematical model by the pointer pair, so that the solver can continue searching on the basis of the initial solution, and the solving efficiency of the model can be greatly improved, the solving time can be shortened, and the solving quality can be improved by using the good initial solution in the iterative solving of the main model and the sub model when large-scale and large-scale problems are designed. In this way, in the embodiment of the application, the initial solution corresponding to the partial integer variable in the thermal power SCUC model is determined through the target historical unit combination data, and the thermal power SCUC model is subjected to hot start solution based on the initial solution, so that the solution speed of the thermal power SCUC model can be accelerated.
And 206, determining target unit combination data corresponding to the target power generation data based on the thermal power unit combination data.
And the terminal controls the starting and stopping of each unit in the target power system according to the target unit combination data. The target unit combination data comprises thermal power unit combination data and other unit combination data. In the embodiment of the application, the determination mode of the unit combination data of other units in the target power system is not limited, and for example, other corresponding SCUC models can be determined according to the generation data of other units, because the other units do not need to meet the minimum start-stop constraint and the climbing constraint, the other SCUC models can be solved in the traditional method to obtain the unit combination data; also exemplary, a partial initial solution may be determined for other SCUC models according to the target historical unit combination data, and then a hot start solution process may be performed on the other SCUC models based on the partial initial solution to obtain other unit combination data.
In the unit combination control method based on the SCUC model provided in the above embodiment, by acquiring the target historical unit combination data, the target historical unit combination data is the historical unit combination data corresponding to the historical power generation data with the maximum similarity with the target power generation data, and the target power generation data is the power generation demand prediction data of the target power system in the target time period; according to the target historical unit combination data, determining an initial solution corresponding to a first integer variable group in a thermal power SCUC model, and carrying out hot start solving processing on the thermal power SCUC model based on the initial solution to obtain thermal power unit combination data, wherein the thermal power SCUC model is constructed based on the target thermal power generation data; determining target unit combination data corresponding to target power generation data based on the thermal power unit combination data, wherein the target unit combination data is used for controlling starting and stopping of each unit in a target power system according to the target unit combination data, so that the thermal power unit part needs to meet minimum starting and stopping constraint and climbing constraint in the process of determining the target unit combination data, the process of determining the target unit combination data is split into a sub-process of determining the thermal power unit combination data and a sub-process of other unit combination data, an initial solution corresponding to part of integer variables in a thermal power SCUC model is determined through the historical unit combination data corresponding to historical power generation data with maximum similarity to the target power generation data, and the thermal power SCUC model is subjected to hot starting based on the initial solution, so that the solving speed of the thermal power SCUC model is accelerated, and the thermal power unit combination data is obtained; the problem of low dispatching efficiency of the power system caused by the fact that the solving speed of the whole SCUC model is slow because the thermal power unit needs to meet the minimum start-stop constraint and the climbing constraint in the process of directly solving the combined data of the target unit in the traditional technology is avoided; according to the method, the determining process of the target unit combination data is divided into two solving sub-processes of the thermal power unit combination data and other unit combination data, and the solving processing speed of the thermal power SCUC model is accelerated by hot start of the thermal power SCUC model, so that the speed of obtaining the target unit combination data is improved, and the dispatching efficiency of the power system is high.
In one embodiment, referring to FIG. 3, based on the embodiment shown in FIG. 2, the present embodiment relates to a process of obtaining target historical crew combination data. As shown in fig. 3, the process may include:
step 302, obtaining a historical SCUC model corresponding to each historical power generation data.
Illustratively, for each historical power generation data, a corresponding historical SCUC model is constructed and obtained. Because the historical unit combination data corresponding to the historical power generation data has no timeliness, in the embodiment, the historical unit combination data corresponding to each historical power generation data is solved by constructing a corresponding historical SCUC model for each historical power generation data.
And step 304, for each historical power generation data, solving the historical SCUC model corresponding to the historical power generation data to obtain the historical unit combination data corresponding to the historical power generation data.
For each historical power generation data, a branch definition method is adopted to solve a historical SCUC model corresponding to the historical power generation data, so that historical unit combination data corresponding to the historical power generation data is obtained. The historical thermal power generation data and the historical other power generation data corresponding to the historical power generation data can be determined according to the historical unit combination data.
And 306, determining historical unit combination data corresponding to the historical power generation data with the maximum similarity with the target power generation data in each historical power generation data as target historical unit combination data.
Wherein, KNN (K-Nearest neighbors) algorithm can be adopted to determine the historical power generation data with the maximum similarity with the target power generation data. The historical power generation data having the greatest similarity with the target power generation data is referred to as target historical power generation data in this application.
For example, in this embodiment, K is set to 1, that is, the historical power generation data closest to the target power generation data is selected as the target historical power generation data, which specifically includes: respectively calculating Euclidean distance between the target power generation data and each historical power generation data; and determining the historical power generation data corresponding to the Euclidean distance with the minimum median value of the Euclidean distances as target historical power generation data. And then determining the historical unit data corresponding to the target power generation data as target historical unit combination data.
In one possible implementation manner, before the historical unit combination data corresponding to the historical power generation data with the maximum similarity with the target power generation data in the historical power generation data is determined as the target historical unit combination data, the method further comprises determining statistical characteristics of the historical unit combination data according to the average value or the median of the historical unit combination data and the like, and judging whether the target historical power generation data is reasonable or not according to the statistical characteristics. If the target historical power generation data is not reasonable, it may be checked whether there is an error in determining the target historical crew combination data.
Because timeliness is not required in the process of determining the historical unit combination data, in the embodiment, a corresponding historical SCUC model is built for each historical power generation data, each historical SCUC model is solved, and then the obtained historical unit combination data are obtained, and the accuracy of the obtained target historical unit combination data is improved.
In one embodiment, referring to fig. 4, the present embodiment provides a process of how to construct a thermal power SCUC model, based on the embodiment shown in fig. 2. As shown in fig. 4, the process includes:
step 402, obtaining target power generation data.
The target power generation data is power generation demand prediction data of the target power system in a target time period. The specific means for acquiring the target power generation data may be an existing manner, and the process of acquiring the target power generation data is not limited in the embodiment of the present application.
And step 404, obtaining target thermal power generation data according to the target power generation data and a preset prediction model.
The preset prediction model can predict target thermal power generation data and/or other target power generation data corresponding to target power generation data according to the target power generation data.
In one possible implementation manner, the preset prediction model is used for outputting corresponding target thermal power generation data according to the target power generation data. The training data set of the preset prediction model comprises: the historical power generation data, the historical thermal power generation data corresponding to the historical power generation data and the historical SCUC model optimal objective function value, namely, the preset prediction model needs to learn the functional relation among vectors composed of the total power generation data, the thermal power generation data corresponding to the total power generation data and the total SCUC model optimal objective function value corresponding to the total power generation data. The historical thermal power generation data can be determined through historical unit combination data corresponding to the historical power generation data.
In this possible implementation manner, the statistical characteristics of each historical power generation data may be determined according to an average value or a median of vector data corresponding to each historical power generation data, and whether the target thermal power generation data output by the preset prediction model is reasonable or not may be determined according to the statistical characteristics. If the judgment result is unreasonable, the preset prediction model can be retrained by adjusting the training parameters or the training data quantity of the preset prediction model, and then prediction output is carried out according to the retrained preset prediction model.
In another possible implementation manner, the preset prediction model is used for outputting corresponding target other power generation data according to the target power generation data, and determining target thermal power generation data according to the target power generation data and the target other power generation data. The preset prediction model is obtained by training historical power generation data and corresponding historical other power generation data. The historical other power generation data can be determined through the historical unit combination data corresponding to the historical power generation data. Referring to fig. 5, in this embodiment, the process of obtaining the target thermal power generation data includes:
step 502, inputting the target power generation data into a preset prediction model to obtain other power generation data of the target corresponding to the target power generation data.
And 504, obtaining target thermal power generation data according to the target power generation data and other target power generation data.
Since the degree of fluctuation of the target other power generation data is smaller than that of the target thermal power generation data, in this embodiment, the target other power generation data is obtained by prediction, and the accuracy of the target thermal power generation data obtained from the target other power generation data and the target other power generation data is higher than that of outputting the target thermal power generation data directly using the preset prediction model.
Similarly, in this possible embodiment, the statistical characteristic of each historical power generation data may be determined according to an average value or a median of vector data corresponding to each historical power generation data, and whether the target other power generation data output by the preset prediction model is reasonable or not may be determined according to the statistical characteristic. If the judgment result is unreasonable, the preset prediction model can be retrained by adjusting the training parameters or the training data quantity of the preset prediction model, and then prediction output is carried out according to the retrained preset prediction model.
Illustratively, the preset predictive model may employ one of a SVR (Support Vector Regression) model, a GBDT (Gradient Boosting Decision Tree, gradient tree lifting) model, or a DNN (Deep Neural Network deep neural network) model.
Step 406, constructing a thermal power SCUC model according to the target thermal power generation data.
In the embodiment of the application, the determining process of the target unit combination data is divided into two solving sub-processes of the thermal power unit combination data and other unit combination data, and a corresponding SCUC model is respectively built for each sub-process, wherein the thermal power SCUC model is built according to the target thermal power generation data obtained through prediction in order to determine the solving sub-process of the thermal power unit combination data. And then carrying out hot start solving processing on the thermal power SCUC model through an initial solution determined according to the target historical unit combination data, so as to accelerate the determination speed of the thermal power unit combination data. According to the embodiment, different constraint conditions are considered to be met by the thermal power generating unit and other units, the generating SCUC model is independently built according to the predicted target thermal power generating data, and the accuracy of the combined data of the thermal power generating unit is ensured.
It should be noted that, the process how to determine the other unit combination data is not specifically limited, and it can be understood that the solution of the SCUC model corresponding to the other unit combination data is faster than that of the thermal power SCUC model, so in the embodiment of the application, the determination process of the target thermal power unit combination data is mainly accelerated, and then the determination process of the target unit combination data is accelerated, so that the dispatching efficiency of the power system is improved.
In an embodiment, based on the embodiment shown in fig. 2, the method for controlling a unit combination based on the SCUC model further includes a process of performing feasibility verification on the initial solution. This embodiment further includes, before performing the hot start solution process on the thermal power SCUC model based on the initial solution in step 206: and carrying out feasibility verification on the initial solution to obtain a verification result corresponding to the initial solution. Wherein, the initial solution at this time refers to an initial solution corresponding to the first integer variable group.
And if the verification result is that the verification is passed, carrying out hot start solving processing on the thermal power SCUC model based on the initial solution.
In one possible implementation manner, if the verification result is that the verification is not passed, determining an initial solution corresponding to the second integer variable group in the thermal power generating unit SCUC model according to the historical unit combination data. The number of the integer variables included in the first integer variable group is larger than the number of the integer variables included in the second integer variable group. That is, selecting fewer integer variables in the thermal power SCUC model to give corresponding initial solutions, performing feasibility verification on the initial solutions, and performing hot start processing on the thermal power SCUC model based on the initial solutions if the verification result is that the verification is passed.
In one possible implementation manner, if the verification result is that the verification fails, the preset prediction model may be retrained, so that the accuracy of the target thermal power generation data obtained according to the preset prediction model is improved. For example, the threshold of model parameters in the process of training a preset prediction model can be adjusted; by way of example, more training data can be collected, so that diversity of the training data is increased, and accuracy of prediction of a preset prediction model obtained through training is improved.
In this embodiment, the feasibility verification is performed on the initial solution, so as to avoid the problem that the initial solution may have an undesolvable problem, so that the solving process is very slow; in the embodiment, the feasibility verification is performed on the initial solution, so that the solving speed of the thermal power SCUC model is further ensured.
In one embodiment, referring to fig. 6, there is provided a method for controlling a unit combination based on a SCUC model, where the method is applied to a terminal for illustration, and the method includes:
step 602, obtaining a historical SCUC model corresponding to each historical power generation data.
Step 604, for each historical power generation data, solving the historical SCUC model corresponding to the historical power generation data to obtain the historical unit combination data corresponding to the historical power generation data.
Step 606, target power generation data is obtained.
And step 608, obtaining target thermal power generation data according to the target power generation data and a preset prediction model.
Optionally, inputting the target power generation data into a preset prediction model to obtain other target power generation data corresponding to the target power generation data; and obtaining other target power generation data according to the target power generation data and the other target power generation data.
Step 610, constructing a thermal power SCUC model according to the target thermal power generation data.
And step 612, determining the historical unit combination data corresponding to the historical power generation data with the maximum similarity with the target power generation data in the historical power generation data as the target historical unit combination data.
Step 614, determining an initial solution corresponding to the first integer variable group in the thermal power SCUC model according to the target historical unit combination data.
And 616, performing feasibility verification on the initial solution to obtain a verification result corresponding to the initial solution.
And step 618, if the verification result is that the verification is passed, performing hot start solving processing on the thermal power SCUC model based on the initial solution to obtain thermal power unit combination data.
Step 620, if the verification result is that the verification is not passed, determining an initial solution corresponding to a second integer variable group in the thermal power SCUC model according to the historical unit combination data; the first set of integer variables includes a number of integer variables greater than a number of integer variables included in the second set of integer variables.
Step 622, re-executing step 616 until thermal power unit combination data is obtained, and determining target unit combination data corresponding to the target power generation data based on the thermal power unit combination data, where the target unit combination data is used for controlling starting and stopping of each unit in the target power system according to the target unit combination data.
The applicant has found through a great deal of experimental verification that, compared with the method for scheduling the target power system by adopting the method for controlling the unit combination based on the SCUC model in the prior art, the method for scheduling the target power system by adopting the method for controlling the unit combination based on the SCUC model in the embodiment has the accuracy difference of only about 0.002, but the scheduling efficiency of the method in the embodiment of the application is greatly improved, and the method can provide a usable solution for calculation of the power system in time.
It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.
Based on the same inventive concept, the embodiment of the application also provides a unit combination control device based on the SCUC model, which is used for realizing the unit combination control method based on the SCUC model. The implementation scheme of the device for solving the problem is similar to that described in the above method, so the specific limitation in the embodiments of the unit combination control device based on the SCUC model provided below may be referred to the limitation of the unit combination control method based on the SCUC model hereinabove, and will not be repeated here.
In one embodiment, as shown in fig. 7, there is provided a unit combination control device based on a SCUC model, including: an acquisition module 702, a solution module 704, and a determination module 706, wherein:
the obtaining module 702 is configured to obtain target historical unit combination data, where the target historical unit combination data is historical unit combination data corresponding to historical power generation data with a maximum similarity to the target power generation data, and the target power generation data is power generation demand prediction data of the target power system in a target time period.
And the solving module 704 is configured to determine an initial solution corresponding to the first integer variable group in the thermal power SCUC model according to the target historical unit combination data, and perform a hot start solving process on the thermal power SCUC model based on the initial solution to obtain thermal power unit combination data, where the thermal power SCUC model is constructed based on the target thermal power generation data.
The determining module 706 is configured to determine target unit combination data corresponding to the target power generation data based on the thermal power unit combination data, where the target unit combination data is used to control starting and stopping of each unit in the target power system according to the target unit combination data.
In one embodiment, the acquisition module 702 includes an acquisition history model unit, a determination history combining unit, and a determination target history unit; wherein,,
and the history acquisition model unit is used for acquiring a history SCUC model corresponding to each history power generation data.
And the history combination unit is used for solving the history SCUC model corresponding to the history power generation data for each history power generation data to obtain history unit combination data corresponding to the history power generation data.
And the target historical unit is used for determining historical unit combination data corresponding to the historical power generation data with the maximum similarity with the target power generation data in the historical power generation data as target historical unit combination data.
In one embodiment, the provided unit combination control device based on the SCUC model further comprises a thermal power model building module; wherein,,
a thermal power model module is constructed and used for acquiring target power generation data; obtaining target thermal power generation data according to the target power generation data and a preset prediction model; and constructing a thermal power SCUC model according to the target thermal power generation data.
In one embodiment, the thermal power model building module is further configured to input target power generation data into a preset prediction model to obtain target other power generation data corresponding to the target power generation data; and obtaining target thermal power generation data according to the target power generation data and other target power generation data.
In one embodiment, the solution module 704 includes a verification unit and a solution unit; wherein,,
and the verification unit is used for carrying out feasibility verification on the initial solution to obtain a verification result corresponding to the initial solution.
And the solving unit is used for carrying out hot start solving processing on the thermal power SCUC model based on the initial solution if the verification result is that the verification is passed.
In one embodiment, the solution module 704 further includes determining an initial solution unit; wherein,,
the initial solution unit is used for determining an initial solution corresponding to the second integer variable group in the thermal power SCUC model according to the historical unit combination data if the verification result is that the verification is not passed; the first set of integer variables includes a number of integer variables greater than a number of integer variables included in the second set of integer variables.
The modules in the above-mentioned unit combination control device based on the SCUC model may be implemented in whole or in part by software, hardware, and combinations thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a server, and the internal structure of which may be as shown in fig. 8. The computer device includes a processor, a memory, an Input/Output interface (I/O) and a communication interface. The processor, the memory and the input/output interface are connected through a system bus, and the communication interface is connected to the system bus through the input/output interface. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is used for storing historical power generation data and corresponding historical unit combination data. The input/output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used for communicating with an external terminal through a network connection. The computer program, when executed by the processor, implements a method for controlling a combination of units based on a SCUC model.
It will be appreciated by those skilled in the art that the structure shown in fig. 8 is merely a block diagram of some of the structures associated with the present application and is not limiting of the computer device to which the present application may be applied, and that a particular computer device may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided comprising a memory and a processor, the memory having stored therein a computer program, the processor when executing the computer program performing the steps of:
acquiring target historical unit combination data, wherein the target historical unit combination data is historical unit combination data corresponding to historical power generation data with maximum similarity with target power generation data, and the target power generation data is power generation demand prediction data of a target power system in a target time period;
according to the target historical unit combination data, determining an initial solution corresponding to a first integer variable group in a thermal power SCUC model, and carrying out hot start solving processing on the thermal power SCUC model based on the initial solution to obtain thermal power unit combination data, wherein the thermal power SCUC model is constructed based on the target thermal power generation data;
And determining target unit combination data corresponding to the target power generation data based on the thermal power unit combination data, wherein the target unit combination data is used for controlling the starting and stopping of each unit in the target power system according to the target unit combination data.
In one embodiment, the processor when executing the computer program further performs the steps of: acquiring a historical SCUC model corresponding to each historical power generation data; solving the historical SCUC model corresponding to the historical power generation data for each historical power generation data to obtain historical unit combination data corresponding to the historical power generation data; and determining historical unit combination data corresponding to the historical power generation data with the maximum similarity with the target power generation data in the historical power generation data as target historical unit combination data.
In one embodiment, the processor when executing the computer program further performs the steps of: acquiring target power generation data; obtaining target thermal power generation data according to the target power generation data and a preset prediction model; and constructing a thermal power SCUC model according to the target thermal power generation data.
In one embodiment, the processor when executing the computer program further performs the steps of: inputting the target power generation data into a preset prediction model to obtain other target power generation data corresponding to the target power generation data; and obtaining target thermal power generation data according to the target power generation data and other target power generation data.
In one embodiment, the processor when executing the computer program further performs the steps of: carrying out feasibility verification on the initial solution to obtain a verification result corresponding to the initial solution; and if the verification result is that the verification is passed, carrying out hot start solving processing on the thermal power SCUC model based on the initial solution.
In one embodiment, the processor when executing the computer program further performs the steps of: if the verification result is that the verification is not passed, determining an initial solution corresponding to a second integer variable group in the thermal power SCUC model according to the historical unit combination data; the first set of integer variables includes a number of integer variables greater than a number of integer variables included in the second set of integer variables.
In one embodiment, a computer readable storage medium is provided having a computer program stored thereon, which when executed by a processor, performs the steps of:
acquiring target historical unit combination data, wherein the target historical unit combination data is historical unit combination data corresponding to historical power generation data with maximum similarity with target power generation data, and the target power generation data is power generation demand prediction data of a target power system in a target time period;
according to the target historical unit combination data, determining an initial solution corresponding to a first integer variable group in a thermal power SCUC model, and carrying out hot start solving processing on the thermal power SCUC model based on the initial solution to obtain thermal power unit combination data, wherein the thermal power SCUC model is constructed based on the target thermal power generation data;
And determining target unit combination data corresponding to the target power generation data based on the thermal power unit combination data, wherein the target unit combination data is used for controlling the starting and stopping of each unit in the target power system according to the target unit combination data.
In one embodiment, the computer program when executed by the processor further performs the steps of: acquiring a historical SCUC model corresponding to each historical power generation data; solving the historical SCUC model corresponding to the historical power generation data for each historical power generation data to obtain historical unit combination data corresponding to the historical power generation data; and determining historical unit combination data corresponding to the historical power generation data with the maximum similarity with the target power generation data in the historical power generation data as target historical unit combination data.
In one embodiment, the computer program when executed by the processor further performs the steps of: acquiring target power generation data; obtaining target thermal power generation data according to the target power generation data and a preset prediction model; and constructing a thermal power SCUC model according to the target thermal power generation data.
In one embodiment, the computer program when executed by the processor further performs the steps of: inputting the target power generation data into a preset prediction model to obtain other target power generation data corresponding to the target power generation data; and obtaining target thermal power generation data according to the target power generation data and other target power generation data.
In one embodiment, the computer program when executed by the processor further performs the steps of: carrying out feasibility verification on the initial solution to obtain a verification result corresponding to the initial solution; and if the verification result is that the verification is passed, carrying out hot start solving processing on the thermal power SCUC model based on the initial solution.
In one embodiment, the computer program when executed by the processor further performs the steps of: if the verification result is that the verification is not passed, determining an initial solution corresponding to a second integer variable group in the thermal power SCUC model according to the historical unit combination data; the first set of integer variables includes a number of integer variables greater than a number of integer variables included in the second set of integer variables. .
In one embodiment, a computer program product is provided comprising a computer program which, when executed by a processor, performs the steps of:
acquiring target historical unit combination data, wherein the target historical unit combination data is historical unit combination data corresponding to historical power generation data with maximum similarity with target power generation data, and the target power generation data is power generation demand prediction data of a target power system in a target time period;
according to the target historical unit combination data, determining an initial solution corresponding to a first integer variable group in a thermal power SCUC model, and carrying out hot start solving processing on the thermal power SCUC model based on the initial solution to obtain thermal power unit combination data, wherein the thermal power SCUC model is constructed based on the target thermal power generation data;
And determining target unit combination data corresponding to the target power generation data based on the thermal power unit combination data, wherein the target unit combination data is used for controlling the starting and stopping of each unit in the target power system according to the target unit combination data.
In one embodiment, the computer program when executed by the processor further performs the steps of: acquiring a historical SCUC model corresponding to each historical power generation data; solving the historical SCUC model corresponding to the historical power generation data for each historical power generation data to obtain historical unit combination data corresponding to the historical power generation data; and determining historical unit combination data corresponding to the historical power generation data with the maximum similarity with the target power generation data in the historical power generation data as target historical unit combination data.
In one embodiment, the computer program when executed by the processor further performs the steps of: acquiring target power generation data; obtaining target thermal power generation data according to the target power generation data and a preset prediction model; and constructing a thermal power SCUC model according to the target thermal power generation data.
In one embodiment, the computer program when executed by the processor further performs the steps of: inputting the target power generation data into a preset prediction model to obtain other target power generation data corresponding to the target power generation data; and obtaining target thermal power generation data according to the target power generation data and other target power generation data.
In one embodiment, the computer program when executed by the processor further performs the steps of: carrying out feasibility verification on the initial solution to obtain a verification result corresponding to the initial solution; and if the verification result is that the verification is passed, carrying out hot start solving processing on the thermal power SCUC model based on the initial solution.
In one embodiment, the computer program when executed by the processor further performs the steps of: if the verification result is that the verification is not passed, determining an initial solution corresponding to a second integer variable group in the thermal power SCUC model according to the historical unit combination data; the first set of integer variables includes a number of integer variables greater than a number of integer variables included in the second set of integer variables. .
It should be noted that, the user information (including, but not limited to, user equipment information, user personal information, etc.) and the data (including, but not limited to, data for analysis, stored data, presented data, etc.) referred to in the present application are information and data authorized by the user or sufficiently authorized by each party, and the collection, use and processing of the related data are required to comply with the related laws and regulations and standards of the related countries and regions.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the various embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the various embodiments provided herein may include at least one of relational databases and non-relational databases. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic units, quantum computing-based data processing logic units, etc., without being limited thereto.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples only represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the present application. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application shall be subject to the appended claims.

Claims (10)

1. A method for controlling a combination of units based on a SCUC model, the method comprising:
acquiring target historical unit combination data, wherein the target historical unit combination data is historical unit combination data corresponding to historical power generation data with maximum similarity with target power generation data, and the target power generation data is power generation demand prediction data of a target power system in a target time period;
According to the target historical unit combination data, determining an initial solution corresponding to a first integer variable group in a thermal power SCUC model, and carrying out hot start solving processing on the thermal power SCUC model based on the initial solution to obtain thermal power unit combination data, wherein the thermal power SCUC model is constructed based on target thermal power generation data;
and determining target unit combination data corresponding to the target power generation data based on the thermal power unit combination data, wherein the target unit combination data is used for controlling the starting and stopping of each unit in the target power system according to the target unit combination data.
2. The method of claim 1, wherein the obtaining the target historical crew combination data comprises:
acquiring a historical SCUC model corresponding to each historical power generation data;
solving a historical SCUC model corresponding to the historical power generation data for each historical power generation data to obtain historical unit combination data corresponding to the historical power generation data;
and determining historical unit combination data corresponding to the historical power generation data with the maximum similarity with the target power generation data in the historical power generation data as the target historical unit combination data.
3. The method according to claim 1, wherein the method further comprises:
acquiring the target power generation data;
obtaining the target thermal power generation data according to the target power generation data and a preset prediction model;
and constructing the thermal power SCUC model according to the target thermal power generation data.
4. A method according to claim 3, wherein the obtaining the target thermal power generation data according to the target power generation data and a preset prediction model comprises:
inputting the target power generation data into the preset prediction model to obtain other target power generation data corresponding to the target power generation data;
and obtaining the target thermal power generation data according to the target power generation data and the target other power generation data.
5. The method of claim 1, wherein prior to said hot start solution processing of said thermal power SCUC model based on said initial solution, said method further comprises:
carrying out feasibility verification on the initial solution to obtain a verification result corresponding to the initial solution;
the performing a hot start solving process on the thermal power SCUC model based on the initial solution includes:
And if the verification result is that the verification is passed, carrying out hot start solving processing on the thermal power SCUC model based on the initial solution.
6. The method of claim 5, wherein the method further comprises:
if the verification result is that the verification is not passed, determining an initial solution corresponding to a second integer variable group in the thermal power SCUC model according to the historical unit combination data; the first set of integer variables includes a number of integer variables greater than the second set of integer variables.
7. A unit combination control device based on a SCUC model, the device comprising:
the system comprises an acquisition module, a storage module and a control module, wherein the acquisition module is used for acquiring target historical unit combination data, the target historical unit combination data is historical unit combination data corresponding to historical power generation data with maximum similarity with target power generation data, and the target power generation data is power generation demand prediction data of a target power system in a target time period;
the solving module is used for determining an initial solution corresponding to a first integer variable group in the thermal power SCUC model according to the target historical unit combination data, carrying out hot start solving processing on the thermal power SCUC model based on the initial solution to obtain thermal power unit combination data, and constructing the thermal power SCUC model based on the target thermal power generation data;
The determining module is used for determining target unit combination data corresponding to the target power generation data based on the thermal power unit combination data, and the target unit combination data is used for controlling starting and stopping of each unit in the target power system according to the target unit combination data.
8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 6 when the computer program is executed.
9. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.
10. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.
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