CN116911932A

CN116911932A - Regional power grid spot market price-out pricing method based on inter-provincial power transmission cost

Info

Publication number: CN116911932A
Application number: CN202310923652.1A
Authority: CN
Inventors: 刘映尚; 彭超逸; 顾慧杰; 周华锋; 江伟; 何宇斌; 文兆新
Original assignee: China Southern Power Grid Co Ltd
Current assignee: China Southern Power Grid Co Ltd
Priority date: 2023-07-25
Filing date: 2023-07-25
Publication date: 2023-10-20

Abstract

The application relates to a regional power grid spot market price-out method based on inter-provincial power transmission cost. Relates to the technical field of intelligent power grids. The method comprises the following steps: in response to a spot market clearing pricing request of the regional power grid, acquiring clearing boundary data associated with the regional power grid from a database; the clear boundary data at least comprises power generation basic data and inter-provincial power transmission data; invoking a pre-built generating set start-stop state processing model, and processing clear boundary data to obtain target start-stop states of the generating set in the regional power grid in each period; invoking a pre-constructed spot market clearing processing model, and processing clearing boundary data and a target start-stop state to obtain target characteristic parameters of spot market clearing pricing of the regional power grid; and determining spot market clearing and pricing information of the regional power grid according to the target characteristic parameters. By adopting the method, accurate spot market price information of the regional power grid can be obtained.

Description

Regional power grid spot market price-out pricing method based on inter-provincial power transmission cost

Technical Field

The application relates to the technical field of smart power grids, in particular to a regional power grid spot market price-out pricing method, a regional power grid spot market price-out pricing device, computer equipment, storage media and computer program products based on inter-provincial power transmission cost.

Background

At present, the research and application of the method for the off-the-shelf price market of the electric power mainly takes a provincial power grid as a main part, and the provincial power grid only optimizes the unit combination and the economic output, and does not need to optimize the inter-provincial tie line power, so that the method for the off-the-shelf price market of the electric power does not consider the influence of the inter-provincial power transmission cost; in contrast, regional grid spot market clearing requires decision-making inter-provincial tie line power, unit combination and economic output, and the influence of inter-provincial transmission cost must be considered in the clearing pricing method.

However, in the conventional technology, for regional power grids, when determining the spot market price of the regional power grid, the computer mainly considers inter-provincial power transmission price information and inter-provincial trade tie-line power; however, only the inter-provincial power transmission price information and inter-provincial transaction link power are considered, and complex service requirements of regional power grid pricing cannot be met, so that the obtained pricing results are poor in effectiveness.

Disclosure of Invention

Based on this, there is a need to provide a regional power grid spot-market pricing method, apparatus, computer device, computer readable storage medium and computer program product based on inter-provincial power transmission costs, for the technical problem of unreasonable spot-market pricing of regional power grids.

In a first aspect, the application provides a regional power grid spot market pricing method based on inter-provincial power transmission fees. The method comprises the following steps:

in response to a spot market clearing pricing request of a regional power grid, acquiring clearing boundary data associated with the regional power grid from a database; the clear boundary data at least comprises power generation basic data and inter-provincial power transmission data;

invoking a pre-built generating set start-stop state processing model, and processing the clear boundary data to obtain target start-stop states of the generating set in the regional power grid in each period; the target start-stop state meets a first preset target, and the first preset target is determined at least based on generator set operation information, generator set start-up information and inter-provincial power transmission cost information;

invoking a pre-constructed spot market clearing processing model, and processing the clearing boundary data and the target start-stop state to obtain target characteristic parameters of spot market clearing pricing of the regional power grid; the target characteristic parameter meets a second preset target, and the second preset target is determined at least based on the generator set operation information and the inter-provincial power transmission cost information;

And determining spot market clearing and pricing information of the regional power grid according to the target characteristic parameters.

In one embodiment, the inter-provincial power transmission cost information includes a trade tie unit power transmission cost parameter, and the pre-built generating set start-stop state processing model is obtained by the following method:

acquiring an initial generator set start-stop state processing model and target constraint conditions, and determining a first target function corresponding to the first preset target according to the association relation among the running information of the generator set, the starting information of the generator set and the inter-provincial power transmission cost information; the target constraint conditions at least comprise a basic constraint condition of the regional power grid, a transmission power constraint condition of the transaction tie line unit, a load matching constraint condition of the transmitting and receiving end and a load balancing constraint condition of the provincial system;

and updating the initial objective function and the initial constraint condition of the initial generator set start-stop state processing model according to the first objective function and the first constraint condition to obtain the generator set start-stop state processing model.

In one embodiment, the pre-constructed spot market clearing model is obtained by:

Acquiring an initial spot market clearing processing model, and determining a second objective function corresponding to the second preset objective according to the association relation between the running information of the motor group and the inter-provincial power transmission cost information;

and updating the initial objective function and the initial constraint condition of the initial spot market clearing model according to the second objective function and the target constraint condition to obtain the spot market clearing model.

In one embodiment, the transaction tie-line unit transmission cost parameter is determined by:

acquiring power transmission price information and power transmission power information of a transaction tie line unit of the regional power grid;

and acquiring a transaction tie line unit power transmission cost processing model of the regional power grid, and inputting the power transmission price information and the power transmission power information into the transaction tie line unit power transmission cost processing model to obtain the transaction tie line unit power transmission cost parameters.

In one embodiment, after determining the spot market pricing information of the regional power grid, the method further comprises:

acquiring spot market clear power generation information and spot market clear power transmission information of the regional power grid; the spot market clearing power generation information and the spot market clearing power transmission information are obtained by processing the clearing boundary data and the target start-stop state by the pre-constructed spot market clearing processing model;

Generating a spot market clearing report of the regional power grid according to the spot market clearing power generation information, the spot market clearing power transmission information and the spot market clearing pricing information;

and sending the spot market clearance report to a corresponding terminal for the terminal to display the spot market clearance report.

In one embodiment, the determining spot market clearing pricing information of the regional power grid according to the target feature parameter includes:

acquiring a spot market clearing and pricing model of the regional power grid;

and inputting the target characteristic parameters into the spot market price setting model to obtain spot market price setting information of the regional power grid.

In a second aspect, the application also provides a regional power grid spot market price-out device based on the inter-provincial power transmission cost. The device comprises:

the system comprises a clearing data acquisition module, a clearing boundary data acquisition module and a clearing module, wherein the clearing data acquisition module is used for responding to a spot market clearing pricing request of a regional power grid and acquiring clearing boundary data associated with the regional power grid from a database; the clear boundary data at least comprises power generation basic data and inter-provincial power transmission data;

the unit state determining module is used for calling a pre-built generating unit start-stop state processing model and processing the clear boundary data to obtain target start-stop states of the generating units in the regional power grid in each period; the target start-stop state meets a first preset target, and the first preset target is determined at least based on generator set operation information, generator set start-up information and inter-provincial power transmission cost information;

The feature parameter determining module is used for calling a pre-constructed spot market clearing processing model, and processing the clearing boundary data and the target start-stop state to obtain target feature parameters of spot market clearing pricing of the regional power grid; the target characteristic parameter meets a second preset target, and the second preset target is determined at least based on the generator set operation information and the inter-provincial power transmission cost information;

and the off-the-shelf pricing determining module is used for determining off-the-shelf pricing information of the regional power grid according to the target characteristic parameters.

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:

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:

In a fifth aspect, the present application also provides a computer program product. The computer program product comprises a computer program which, when executed by a processor, implements the steps of:

In the regional power grid spot market clearing pricing method, the device, the computer equipment, the storage medium and the computer program product based on the inter-provincial power transmission expense, firstly, clearing boundary data associated with the regional power grid is obtained from a database in response to a spot market clearing pricing request of the regional power grid, wherein the clearing boundary data at least comprises power generation basic data and inter-provincial power transmission data; then, a pre-built generating set start-stop state processing model is called, clear boundary data are processed, the target start-stop state of the generating set in the regional power grid in each period is obtained, the target start-stop state meets a first preset target, the first preset target is determined at least based on generating set operation information, generating set start-up information and inter-provincial power transmission cost information, and the target start-stop state conforming to the first preset target can enable the total cost of power generation and power transmission to be the lowest when spot market clear is achieved; invoking a pre-constructed spot market clearing processing model, and processing clearing boundary data and a target start-stop state to obtain target characteristic parameters of spot market clearing pricing of the regional power grid; the target characteristic parameters meet a second preset target, the second preset target is determined at least based on the generator set operation information and the inter-provincial power transmission cost information, spot market price-out price information of the regional power grid is determined according to the target characteristic parameters, and spot market price-out price when the total cost of power generation and power transmission is the lowest can be determined based on the target characteristic parameters which meet the second preset target. According to the method, the off-the-shelf market clearing price when the total cost of power generation and transmission is the lowest can be obtained through the clearing boundary data, the generator set start-stop state processing model and the off-the-shelf market clearing processing model, so that the power grid resource optimal allocation among regional power grids can be met, and the economic benefit requirements of each province in the regional power grids can be met.

Drawings

FIG. 1 is an application environment diagram of a regional power grid spot market pricing method based on inter-provincial power transmission costs in one embodiment;

FIG. 2 is a flow chart of a regional power grid spot market pricing method based on inter-provincial power transmission costs according to one embodiment;

FIG. 3 is a schematic diagram of a complete flow of a regional power grid spot-market pricing method based on inter-provincial power transmission costs according to another embodiment;

FIG. 4 is a block diagram of a regional power grid spot-market pricing device based on inter-provincial power transmission costs according to one embodiment;

fig. 5 is an internal structural diagram of a computer device in one embodiment.

Detailed Description

The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.

The regional power grid spot market price-setting method based on inter-provincial power transmission cost provided by the embodiment of the application 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 server 104 obtains the off-the-shelf boundary data associated with the regional power grid from the database in response to the off-the-shelf market off-the-shelf pricing request of the regional power grid; then, a pre-built generating set start-stop state processing model is called, clear boundary data are processed, and the target start-stop state of the generating set in the regional power grid in each period is obtained; then, a pre-constructed spot market clearing processing model is called, clearing boundary data and a target start-stop state are processed, and target characteristic parameters of spot market clearing pricing of the regional power grid are obtained; and finally, determining spot market clearing and pricing information of the regional power grid according to the target characteristic parameters. 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.

In one embodiment, as shown in fig. 2, a regional power grid spot market pricing method based on inter-provincial power transmission cost is provided, and the method is applied to the server 104 in fig. 1 for illustration, and includes the following steps:

step S201, acquiring out-of-stock boundary data associated with a regional power grid from a database in response to a spot-market out-of-stock pricing request of the regional power grid; the clear boundary data at least comprises power generation basic data and inter-provincial power transmission data.

The power generation basic data comprise system data, unit data, load data and sensitivity data; the inter-provincial power transmission data comprises tie line data, tie line group data and transaction tie line unit data; it should be noted that, the trade tie unit is a virtual trade tie unit determined based on contracts between provincial grids or between a power plant and a provincial grid, and the power of a single trade tie unit cannot be characterized by a linear combination of actual physical tie power, and the power of the trade tie unit needs to consider the priority plan limit of decomposing annual contracts to current stock.

Further, the system data includes period information and system load; the unit data comprises unit basic information, unit calculation parameters, unit starting quotation, unit energy quotation, unit initial state, unit power constraint, unit climbing rate and unit minimum continuous start-stop time; the load data is bus load prediction; the sensitivity data comprise power generation transfer distribution factors of unit, load and direct current tie line injection power to line, section and alternating current tie line tide; the tie line data comprises tie line basic information, tie line calculation parameters, tie line power constraint and tie line loss coefficients; the data of the connecting line group comprises basic information of the connecting line group, calculation parameters of the connecting line group, corresponding relation of the connecting line group at the transmitting and receiving end, and the connecting line group comprises connecting lines, electric power constraint of the connecting line group and network loss coefficients of the connecting line group; the transaction tie unit data comprises transaction tie unit basic information, transaction tie unit calculation parameters, a corresponding relation of the transaction tie units at the transmitting end and the receiving end, a network loss coefficient of the transaction tie units, a matching relation of the transaction tie units and physical equipment, a transmission price of the transaction tie units, a power constraint of the transaction tie units and a proportion of the transaction tie units to total output of the physical equipment.

Illustratively, upon receiving a spot market clearing pricing request for the regional power grid from a user, the server 104 queries the data storage system for clearing boundary data associated with the regional power grid. It should be noted that different regional power grids correspond to different clearing boundary data, and a mapping relationship between the regional power grids and the clearing boundary data, which is established in advance, is stored in the data storage system. In addition, the user may send spot-market pricing requests to the server 104 via the terminal 102.

Step S202, a pre-built generating set start-stop state processing model is called, clear boundary data are processed, and target start-stop states of the generating set in the regional power grid in all time periods are obtained; the target start-stop state meets a first preset target, and the first preset target is determined at least based on the generator set operation information, the generator set start-up information and the inter-provincial power transmission cost information.

The generator set start-stop state processing model can be a safety constraint unit combined clearing model or a neural network model.

The generator set operation information may be a set operation cost; the generator set start-up information may be a set start-up cost; the inter-provincial power transmission cost information includes trade tie unit power transmission cost and line/section power flow relaxation penalty cost.

The first preset target may be a target that minimizes a sum of the generator set operation information, the generator set start information, and the inter-provincial power transmission cost information.

The server 104 obtains a pre-constructed processing model of the start-stop state of the generator set for the regional power grid from a database, inputs clear boundary data obtained by query into the processing model of the start-stop state of the generator set, and outputs the target start-stop state of the generator set in the regional power grid most in accordance with the first preset target in each period under the condition that the constraint condition in the processing model of the start-stop state of the generator set is met, namely, the sum of the running information of the generator set, the start information of the generator set and the power transmission cost information between provinces in the target start-stop state is minimum. Wherein, include a plurality of generating sets in regional electric wire netting.

Step S203, a pre-constructed spot market clearing processing model is called, clearing boundary data and a target start-stop state are processed, and target feature parameters of spot market clearing pricing of the regional power grid are obtained; the target characteristic parameter meets a second preset target, and the second preset target is determined at least based on the generator set operation information and the inter-provincial power transmission cost information.

The spot market clearing processing model can be a safety constraint economic dispatch pricing model or a neural network model.

The second preset target may be a target that minimizes a sum of the generator set operation information and the inter-provincial power transmission cost information.

The server 104 obtains a pre-constructed spot-market clearing model for the regional power grid from a database, and then inputs the obtained target start-stop state and other clearing boundary data except for the data related to the start-stop information of the generator set into the spot-market clearing model, and outputs target feature parameters of spot-market clearing pricing of the regional power grid which most accords with a second preset target, namely that the sum of the generator set operation information and the inter-power transmission cost information under the target feature parameters is minimum under the condition that the constraint conditions in the generator set start-stop state processing model are met. Meanwhile, because the target start-stop state input into the spot market clearing processing model is the start-stop state of the generator set most conforming to the first preset target in each period, the obtained target characteristic parameters are also characteristic parameters of spot market clearing pricing of the regional power grid most conforming to the first preset target. Wherein, include a plurality of generating sets in regional electric wire netting.

And step S204, determining spot market clearing and pricing information of the regional power grid according to the target characteristic parameters.

For example, according to the target characteristic parameters meeting the first preset target and the second preset target, a corresponding price-out calculation model may be adopted to determine the spot market price-out information of the regional power grid. The price-setting calculation model can be a machine learning algorithm model or other mathematical operation models.

In the regional power grid spot market price-out method based on the inter-provincial power transmission expense, firstly, in response to a spot market price-out request of the regional power grid, acquiring the spot boundary data associated with the regional power grid from a database, wherein the spot boundary data at least comprises power generation basic data and inter-provincial power transmission data; then, a pre-built generating set start-stop state processing model is called, clear boundary data are processed, the target start-stop state of the generating set in each period in the regional power grid is obtained, the target start-stop state meets a first preset target, the first preset target is determined at least based on generating set operation information, generating set start-up information and inter-provincial power transmission cost information, and the target start-stop state conforming to the first preset target can enable the total cost of power generation and power transmission to be the lowest when spot market clear is achieved; invoking a pre-constructed spot market clearing processing model, and processing clearing boundary data and a target start-stop state to obtain target characteristic parameters of spot market clearing pricing of the regional power grid; the target characteristic parameters meet a second preset target, the second preset target is determined at least based on the generator set operation information and the inter-provincial power transmission cost information, spot market price-out price information of the regional power grid is determined according to the target characteristic parameters, and spot market price-out price when the total cost of power generation and power transmission is the lowest can be determined based on the target characteristic parameters which meet the second preset target. According to the method, the off-the-shelf market clearing price when the total cost of power generation and transmission is the lowest can be obtained through the clearing boundary data, the generator set start-stop state processing model and the off-the-shelf market clearing processing model, so that the power grid resource optimal allocation among regional power grids can be met, and the economic benefit requirements of each province in the regional power grids can be met.

In one embodiment, when the generator set start-stop state processing model is a neural network model, the training process of the generator set start-stop state processing model is: acquiring clear boundary sample data of a regional power grid and actual start-stop states of a generator set in the regional power grid in each period; inputting clear boundary sample data into a to-be-trained generator set start-stop state processing model to obtain predicted start-stop states of the generator sets in the regional power grid in each period; determining a first loss value according to the difference between the predicted start-stop state and the actual start-stop state of the generator set in the regional power grid in each period; and training the generator set start-stop state processing model to be trained according to the first loss value to obtain a trained generator set start-stop state processing model which is used as a pre-built generator set start-stop state processing model. The calculation mode corresponding to the first loss value is determined based on a first preset target.

In one embodiment, when the spot market clearing model is a neural network model, the training process of the spot market clearing model is: acquiring clear boundary sample data of a regional power grid, target start-stop states of a generator set in the regional power grid in each period corresponding to each sample and actual characteristic parameters of spot market clear pricing of the regional power grid; inputting the clearing boundary sample data and the target start-stop states of the generator set in the regional power grid corresponding to each sample in each period into a spot market clearing processing model to be trained, and obtaining the forecast characteristic parameters of spot market clearing pricing of the regional power grid; determining a second loss value according to the difference between the predicted characteristic parameter and the actual characteristic parameter of the spot market price of the regional power grid; and training the spot market clearing model to be trained according to the second loss value to obtain a spot market clearing model after training, wherein the spot market clearing model is used as a spot market clearing model built in advance. The calculation mode corresponding to the second loss value is determined based on a second preset target.

In one embodiment, the inter-provincial power transmission cost information includes a trade tie unit power transmission cost parameter, and the pre-constructed generating set start-stop state processing model is obtained by the following steps: acquiring an initial generator set start-stop state processing model and target constraint conditions, and determining a first target function corresponding to a first preset target according to the association relationship among generator set operation information, generator set start-up information and inter-provincial power transmission cost information; the target constraint conditions at least comprise basic constraint conditions of the regional power grid, transmission power constraint conditions of the transaction tie line unit, load matching constraint conditions of the transmitting and receiving ends and load balancing constraint conditions of the provincial system; and updating the initial objective function and the initial constraint condition of the initial generator set start-stop state processing model according to the first objective function and the first constraint condition to obtain the generator set start-stop state processing model.

The initial generator set start-stop state processing model can be an initial safety constraint unit combination clearing model.

The basic constraint conditions comprise a system constraint condition, a unit group constraint condition, a network constraint condition and a tie constraint condition; the system constraint conditions comprise a system load balance constraint condition, a system standby constraint condition, a system rotation standby constraint condition and the like; the unit constraint comprises a unit output upper limit constraint condition, a unit climbing constraint condition, a unit continuous minimum start-stop time constraint condition and the like; the group constraint conditions mainly comprise group output upper and lower limit constraint conditions, group electric quantity constraint conditions and the like; the network constraint conditions comprise line/section tide constraint conditions; the tie constraint conditions comprise an alternating current tie flow constraint condition, a tie channel physical execution limit constraint condition, a tie loss constraint condition and the like.

The trade tie line unit transmission power constraint conditions comprise trade tie line unit transmission power and physical power flow matching constraint conditions, point-to-network trade tie line unit transmission power constraint conditions, trade tie line unit transmission power upper and lower limit constraint conditions and the like.

The calculation mode of each information can be determined according to the association relation among the generator set operation information, the generator set starting information and the inter-provincial power transmission cost information, and then a first objective function corresponding to a first preset target can be constructed based on the calculation mode. The first objective function may be:

wherein N is _G Representing the total number of units; t represents the total number of optimization periods considered; then the first preset target is the smallest F1;

f(P _i,t ,η _i,t ) The running cost and the starting cost function of the unit i in the t period are expressed, and the running cost and the starting cost function and the output of the unit are in linear relation; p (P) _i,t The output of the unit i in the period t is represented; η (eta) _i,t The starting state of the unit i in the period t is represented; the unit start-stop state is represented by 0 and 1, and the transition of the unit from shut down to start is 1, and the transitions of the unit from shut down to shut down, start to shut down, and start to start are all 0.

N _TC Representing the total number of transaction tie-line units; The transmission cost of the transaction tie-line unit k in the period t is represented by the following specific steps:

trade tie unit k at the transmission price of time period t; />Representing the transmission power of the transaction tie-line unit k in the period t; it should be noted that, calculation of the transmission cost of the transaction connection line unit only considers the transmitting end transaction connection line unit.

N _L Representing the total number of lines; f (f) ^L (S _l,t ) The power flow constraint relaxation punishment cost of the line l in the t period is expressed and is in a linear relation with the absolute value of the power flow constraint relaxation quantity; s is S _l,t Representing the power flow constraint relaxation power of the line l in the t period;

N _S representing the total number of sections; f (f) ^S (S _s,t ) The flow constraint relaxation penalty cost of the section s in the t period is expressed, and the absolute value of the flow constraint relaxation amount is expressedIn a linear relationship; s is S _s,t And the power flow constraint relaxation power of the section s in the period t is represented.

The trade tie unit transmission power and the physical power flow are matched and constrained to be equal to the sum of the trade tie unit injection power related to each provincial power grid and the sum of the corresponding physical tie injection power. For a transmitting-end provincial power grid, the related trade link unit power and physical link power are both transmitting power, so that balance can be strictly satisfied; however, for the receiving-end provincial power grid, the related trade link unit power and physical link power are both the received power, and after the respective network loss influences are considered, the trade link unit power and the physical link power cannot strictly satisfy balance (because the network loss coefficients of the trade link unit and the physical link and the network loss calculation method have differences, the network losses of the trade link unit and the physical link have deviations). Therefore, for the provincial power grid at the receiving end, the sum of the power at the sending end corresponding to the corresponding trading link units is considered to be equal to the sum of the power at the sending end of the corresponding physical links.

The function corresponding to the transmission power of the transmission end provincial power grid transaction tie line unit and the physical power flow matching constraint can be expressed as follows:

representing a collection of transactional tie-line units associated with the provincial grid p.

The function corresponding to the transmission power of the receiving end provincial power grid transaction tie line unit and the physical power flow matching constraint can be expressed as follows:

representing the transmission power of a transmitting end corresponding to a connecting line j in the region in the period t; />And representing the transmission power of the transaction interconnection unit k corresponding to the transmitting end in the period t.

The constraint condition of the transmission power of the point-to-network transaction tie line unit is transaction electric quantity generated between a power plant and a provincial power grid; the corresponding power transmission power of the network-to-network trade connecting line unit is the power transmission power of the trade connecting line unit which occurs between provincial power grids. The transmission power of the point-to-network transaction connecting line unit meets the constraint that the transmission power of the point-to-network transaction connecting line unit is matched with the output of the power plant and the transmission power and the transmission duty ratio constraint of the point-to-network transaction connecting line unit.

The trade power generated by the single/multiple power plants and the single/multiple provincial power grids is equal to the sum of the output of the single/multiple power plants, and the corresponding function can be expressed as:

M _a Representing a transaction component and a power plant set of which the point-to-network transaction component is related to the power plant output matching object a;representing the output of the power plant m in a period t;

the constraint of the transmission power and transmission ratio of the point-to-network transaction tie line unit is that the proportion of transaction power generated by the same power plant and different provincial power grids to the total output of the power plant should meet specific values, and the corresponding function can be expressed as follows:

σ _k,t representing the proportion of the transmission power of the transaction component k in the period t to the output of the corresponding power plant,representing power plant m-related point-to-network intersectionsAnd (5) a set of easy components.

The trade tie unit transmission power upper and lower limit constraint conditions are that the trade tie unit power should be within its maximum/minimum transmission power range, and the corresponding function can be expressed as:

wherein,,the maximum and minimum transmission powers of the transaction link unit k in the period t are respectively represented.

The constraint condition of power flow matching of the transmitting and receiving ends is that the transmitting end power of the transaction tie line unit/physical tie line is different from the receiving end power by a corresponding network loss amount, and the corresponding function can be expressed as follows:

physical tie line transmitting and receiving end tide matching constraint:

wherein,,respectively representing the transmission power of the physical interconnection j and the transmission power of the receiving end in the period t, TL _j,t,I Representing the transmission loss (i.e., network loss) of the physical link j in the period t;

because the tie lines in the area have the condition of mixed use of alternating current and direct current, and the network loss calculation modes of the alternating current tie lines and the direct current tie lines are different, the alternating current tie line loss and the actual transmission power are in a linear relation, and the direct current tie lines and the quadratic power of the actual transmission power are in a linear relation, the two needs to be separately discussed:

for an alternating current tie line, the network loss calculation formula is as follows:

for the direct current tie line, the network loss calculation formula is as follows:

wherein LR is _j And represents the net loss rate of the tie-line j. In order to improve the calculation efficiency, on the premise of meeting the calculation precision, a linearization modeling mode similar to the AC communication network loss is generally adopted in the modeling of the DC communication network loss;

the transaction tie line unit sends the load flow matching constraint of the receiving end:

wherein,,respectively representing the transmission power of the transaction interconnection line unit k corresponding to the transmitting end and the receiving end in the t period; />Representing the transmission loss (i.e., network loss) of the transaction link unit k during the period t;

the network loss of the transaction connecting line unit is in direct proportion to the transmission power of the transmitting end:

wherein,,is the net loss rate of the transaction tie-line unit k.

The constraint condition of the load balance of the provincial system is that the sum of the output of the related generator set and the net injection power of the connecting wire in any provincial part and the load balance of the provincial system are equal, and the corresponding function can be expressed as follows:

Wherein,,representing a set within the range of the provincial power grid p; />Representation and provincial powerA set of out-of-area tie lines associated with net p; t (T) _j,t,o The planned power (positive in and negative out) for out-of-zone tie j during period t; />Representing a set of intra-area links associated with the provincial power grid p; t (T) _j,t,I The transmission power of the intra-area communication line j in the period t is as follows; d (D) _p,t To save the system load predictive value of p in the t period.

After the initial generator set start-stop state processing model, the target constraint condition and the first target function are obtained, the initial target function and the initial constraint condition in the initial generator set start-stop state processing model can be updated and replaced, so that the required generator set start-stop state processing model is obtained.

In the embodiment, the target constraint condition not only considers the basic constraint condition contained in the existing generator set start-stop state processing model, but also constructs the transmission power constraint condition of the transaction tie line unit, the load matching constraint condition of the transmitting and receiving ends and the load balancing constraint condition of the provincial system, so that the target constraint condition can embody the influence of the inter-provincial transmission price on the node electricity prices of different provincial nodes, and better satisfies the grid resource optimization configuration among regional grids and the economic benefit requirements of each provincial in the regional grids.

In one embodiment, the pre-constructed spot market clearing model is obtained by: acquiring an initial spot market clearing processing model, and determining a second objective function corresponding to a second preset objective according to the association relation between the running information of the motor unit and the inter-provincial power transmission cost information; and updating the initial objective function and the initial constraint condition of the initial spot market ex-order processing model according to the second objective function and the target constraint condition to obtain the spot market ex-order processing model.

Wherein the initial spot market clearing process model may be an initial safety-constrained economic dispatch pricing model.

The calculation mode of each piece of information can be determined according to the association relation between the operation information of the generator set and the inter-provincial power transmission cost information, and then a second objective function corresponding to a second preset objective can be constructed based on the calculation mode. The second objective function may be:

/>

wherein f (P _i,t ) The running cost function of the unit i in the t period is expressed, and the running cost function and the unit output form a linear relation; then the second preset target is set to minimize F2.

After the initial spot market clearing model, the target constraint condition and the second target function are obtained, the initial target function and the initial constraint condition in the initial spot market clearing model can be updated and replaced, so that the required spot market clearing model is obtained.

In the embodiment, the built spot market clearing processing model takes the output of the generator set start-stop state processing model as input, so that the safety constraint problem can be considered more accurately, meanwhile, the more specific input can enable the spot market clearing processing model to obtain the output with better economic performance, the safety and the economy can be comprehensively considered integrally, the overall performance of the model is improved, the operation safety and the economic benefit of the generator set are balanced better, and a more optimized solution is provided for the operation and the scheduling of the electric power system. In addition, the target constraint condition in the spot market clearing processing model can also reflect the influence of the inter-provincial power transmission price on the node power price of different provincial nodes, and better meet the power grid resource optimal allocation among regional power grids and the economic benefit demands of each provincial in the regional power grids.

In one embodiment, the transaction link unit transmission cost parameters are determined by: acquiring power transmission price information and power transmission power information of a transaction tie line unit of a regional power grid; and acquiring a transaction tie line unit power transmission cost processing model of the regional power grid, and inputting the power transmission price information and the power transmission power information into the transaction tie line unit power transmission cost processing model to obtain transaction tie line unit power transmission cost parameters.

Illustratively, as described in the above embodiments, the transaction tie-line unit transmission cost processing model of the regional power grid may be:

in this embodiment, because the trade tie unit is a virtual trade tie unit determined based on contracts between provincial grids or between a power plant and a provincial grid, and the power of a single trade tie unit cannot be represented by a linear combination of actual physical tie power, the power of the trade tie unit needs to be considered to be decomposed into priority plan limits of daily spot in consideration of annual contracts, so that the trade tie unit power transmission cost is used to calculate regional power grid spot market pricing, more accurate pricing information can be obtained, and optimal configuration of power grid resources is better achieved.

In one embodiment, the step S204 determines spot market price setting information of the regional power grid according to the target feature parameter, and further includes: acquiring a spot market clearing and pricing model of the regional power grid; and inputting the target characteristic parameters into a spot market price-setting model to obtain spot market price-setting information of the regional power grid.

Illustratively, the target characteristic parameter may be a lagrangian multiplier and the spot market price-out model of the regional power grid may be:

Wherein, LMP _k,p,t The node electricity price of the node k in the p provinces in the period t is set; n (N) _L The total number of the lines; n (N) _s The total number of the sections; n (N) _ATI The total number of the alternating current connecting lines in the area is the total number of the alternating current connecting lines in the area; lambda (lambda) _p,t Lagrangian multipliers constrained for system load balance of provincial power grid p in period t;lagrangian multiplier constrained by maximum forward power flow of line l, which pulls when line power flow is over-limitedThe grange multiplier is a network tide constraint relaxation penalty factor; />A Lagrangian multiplier constrained by the maximum reverse power flow of the line l is used as a network power flow constraint relaxation penalty factor when the power flow of the line is over-limited; />The Lagrangian multiplier is the biggest forward power flow constraint of the section s, and is a network power flow constraint relaxation penalty factor when the section power flow is over-limited; />The Lagrangian multiplier is the biggest reverse power flow constraint of the section s, and is a network power flow constraint relaxation penalty factor when the section power flow is over-limited; omega _j,t Lagrangian multipliers constrained for flow balance of the alternating current tie j; g _l-k The power transfer distribution factor is output by the generator of the line l for the node k; g _s-k The generator output power transfer distribution factor of the section s is the node k; g _j-k The generator output power transfer distribution factor for node k versus ac link j. All lagrangian multipliers are equal to or greater than 0.

In one embodiment, after determining the spot market pricing information of the regional power grid in step S204, the method further includes: acquiring spot market clear power generation information and spot market clear power transmission information of a regional power grid; the spot market clearing and generating information and the spot market clearing and transmitting information are obtained by processing clearing boundary data and a target start-stop state by a pre-constructed spot market clearing and processing model; generating spot market clearing reports of the regional power grid according to spot market clearing power generation information, spot market clearing power transmission information, target start-stop states and spot market clearing pricing information; and sending the spot market clearing report to a corresponding terminal for the terminal to display the spot market clearing report.

The spot market clearing power generation information can be the winning bid force of the generator set in each period.

The off-the-shelf clear transmission information comprises transmission power of the tie line and transmission power of the trading tie line unit in each period.

Illustratively, in the above step S203, the output of the spot-market shipment clearance processing model further includes spot-market shipment clearance power generation information and spot-market shipment clearance power transmission information. And generating a spot market clearing report of the corresponding regional power grid according to the spot market clearing power generation information, the spot market clearing power transmission information, the target start-stop state and the spot market clearing pricing information, and transmitting the spot market clearing report to the corresponding terminal, so that a user can execute power generation, power transmission and clearing pricing of the regional power grid based on the spot market clearing report displayed by the terminal.

In another embodiment, as shown in fig. 3, there is provided a regional power grid spot market pricing method based on inter-provincial power transmission costs, comprising the steps of:

step S301, an initial generator set start-stop state processing model and target constraint conditions are obtained, and a first target function corresponding to a first preset target is determined according to the association relationship among generator set operation information, generator set start-up information and inter-provincial power transmission cost information;

step S302, updating an initial objective function and initial constraint conditions of an initial generator set start-stop state processing model according to a first objective function and first constraint conditions to obtain a generator set start-stop state processing model;

step S303, acquiring an initial spot market clearing processing model, and determining a second objective function corresponding to a second preset objective according to the association relation between the motor unit operation information and the inter-provincial power transmission cost information;

step S304, updating the initial objective function and the initial constraint condition of the initial spot market clearing model according to the second objective function and the target constraint condition to obtain the spot market clearing model;

step S305, in response to the spot market clearing pricing request of the regional power grid, acquiring clearing boundary data associated with the regional power grid from a database;

Step S306, a pre-built generating set start-stop state processing model is called, clear boundary data are processed, and the target start-stop state of the generating set in the regional power grid in each period is obtained;

step S307, a pre-constructed spot market clearing processing model is called, and clearing boundary data and a target start-stop state are processed to obtain target characteristic parameters of spot market clearing pricing of the regional power grid, spot market clearing power generation information and spot market clearing power transmission information;

step S308, acquiring a spot market price-setting model of the regional power grid, and inputting target characteristic parameters into the spot market price-setting model to obtain spot market price-setting information of the regional power grid;

step S309, generating a spot market clearing report of the regional power grid according to the spot market clearing power generation information, the spot market clearing power transmission information, the target start-stop state and the spot market clearing pricing information;

step S310, the spot market clearing report is sent to the corresponding terminal, and the spot market clearing report is displayed by the terminal.

For example, one case may be that the genset start-stop state processing model, the spot market clearing processing model, and the spot market clearing pricing model may all be machine learning algorithm models; in this case, the generator set start-stop state processing model, the spot market clearing processing model and the spot market clearing pricing model should be trained together, and in the training process, parameters in the model may be adjusted based on a first objective function and a second objective function respectively based on a preset training iteration number, so that the output of the trained generator set start-stop state processing model, the output of the spot market clearing processing model and the output of the spot market clearing pricing model conform to a first preset target and a second preset target. The method can also be that a generator set start-stop state processing model and a spot market clearing processing model are mathematical optimization models, and the spot market clearing pricing model is a mathematical operation model; in this case, an existing optimization algorithm software package (e.g., CPLEX) may be invoked to solve the generator set start-stop state processing model and the spot market clearing processing model, and the obtained result is input into the spot market clearing pricing model to be output.

In the embodiment, the off-the-shelf market clearing report for realizing off-the-shelf market clearing of the regional power grid is obtained by executing the processing of the generator set start-stop state processing model, the off-the-shelf market clearing processing model and the off-the-shelf market clearing pricing model, so that the reasonable pricing of different provincial power grid market main bodies can be realized while the optimal allocation targets of resources are realized.

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 regional power grid spot-market price-out pricing device based on the inter-provincial power transmission cost, which is used for realizing the regional power grid spot-market price-out pricing method based on the inter-provincial power transmission cost. The implementation scheme of the solution provided by the device is similar to the implementation scheme described in the above method, so the specific limitation in the embodiment of the regional power grid spot market clearing pricing device based on the inter-provincial power transmission cost provided below can be referred to the limitation of the regional power grid spot market clearing pricing method based on the inter-provincial power transmission cost hereinabove, and will not be repeated here.

In one embodiment, as shown in fig. 4, there is provided a regional power grid spot-market pricing device based on inter-provincial power transmission costs, comprising: a clearing data acquisition module 401, a unit status determination module 402, a characteristic parameter determination module 403, and a clearing pricing determination module 404, wherein:

the clearing data obtaining module 401 is configured to obtain clearing boundary data associated with the regional power grid from a database in response to a spot market clearing pricing request of the regional power grid; the clear boundary data at least comprises power generation basic data and inter-provincial power transmission data;

The unit state determining module 402 is configured to invoke a pre-constructed processing model of the start-stop state of the generator unit, and process the clear boundary data to obtain a target start-stop state of the generator unit in the regional power grid in each period; the target start-stop state meets a first preset target, and the first preset target is determined at least based on the generator set operation information, the generator set start-up information and the inter-provincial power transmission cost information;

the feature parameter determining module 403 is configured to invoke a pre-constructed spot market clearing processing model to process the clearing boundary data and the target start-stop state, so as to obtain a target feature parameter of spot market clearing pricing of the regional power grid; the target characteristic parameter meets a second preset target, and the second preset target is determined at least based on the operation information of the generator set and the inter-provincial power transmission cost information;

and the off-the-shelf pricing determining module 404 is configured to determine off-the-shelf pricing information of the regional power grid according to the target feature parameter.

In one embodiment, the inter-provincial power transmission cost information includes a trade tie line unit power transmission cost parameter, and the regional power grid spot market price setting device based on the inter-provincial power transmission cost further includes a model building module, configured to obtain an initial generating set start-stop state processing model and a target constraint condition, and determine a first objective function corresponding to a first preset objective according to a correlation between generating set operation information, generating set start-up information and the inter-provincial power transmission cost information; the target constraint conditions at least comprise basic constraint conditions of the regional power grid, transmission power constraint conditions of the transaction tie line unit, load matching constraint conditions of the transmitting and receiving ends and load balancing constraint conditions of the provincial system; and updating the initial objective function and the initial constraint condition of the initial generator set start-stop state processing model according to the first objective function and the first constraint condition to obtain the generator set start-stop state processing model.

In one embodiment, the model building module is further configured to obtain an initial spot market clearing model, and determine a second objective function corresponding to a second preset objective according to an association relationship between the motor unit operation information and the inter-provincial power transmission cost information; and updating the initial objective function and the initial constraint condition of the initial spot market ex-order processing model according to the second objective function and the target constraint condition to obtain the spot market ex-order processing model.

In one embodiment, the model building module is further configured to obtain power transmission price information and power transmission power information of a trade tie line unit of the regional power grid; and acquiring a transaction tie line unit power transmission cost processing model of the regional power grid, and inputting the power transmission price information and the power transmission power information into the transaction tie line unit power transmission cost processing model to obtain transaction tie line unit power transmission cost parameters.

In one embodiment, the aforementioned pricing determining module 404 is further configured to obtain a spot market pricing model of the regional power grid; and inputting the target characteristic parameters into a spot market price-setting model to obtain spot market price-setting information of the regional power grid.

In one embodiment, the regional power grid spot-market price-clearing device based on the inter-provincial power transmission expense further comprises a report generating module, configured to acquire spot-market spot-clear power generation information and spot-market spot-clear power transmission information of the regional power grid; the spot market clearing and generating information and the spot market clearing and transmitting information are obtained by processing clearing boundary data and a target start-stop state by a pre-constructed spot market clearing and processing model; generating spot market clearing reports of the regional power grid according to spot market clearing power generation information, spot market clearing power transmission information, target start-stop states and spot market clearing pricing information; and sending the spot market clearing report to a corresponding terminal for the terminal to display the spot market clearing report.

The modules in the regional power grid spot market pricing device based on the inter-provincial power transmission expense can be all or partially realized by software, hardware and a combination 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 terminal, and the internal structure of which may be as shown in fig. 5. The computer device includes a processor, a memory, an input/output interface, a communication interface, a display unit, and an input means. The processor, the memory and the input/output interface are connected through a system bus, and the communication interface, the display unit and the input device are 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 and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. 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 carrying out wired or wireless communication with an external terminal, and the wireless mode can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. The computer program when executed by the processor is used for realizing a regional power grid spot market price-setting method based on inter-provincial power transmission expense. The display unit of the computer device is used for forming a visual picture, and can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, can also be a key, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.

It will be appreciated by those skilled in the art that the structure shown in FIG. 5 is merely a block diagram of some of the structures associated with the present inventive arrangements and is not limiting of the computer device to which the present inventive arrangements may be applied, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.

In an embodiment, there is also provided a computer device comprising a memory and a processor, the memory having stored therein a computer program, the processor implementing the steps of the method embodiments described above when the computer program is executed.

In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when executed by a processor, carries out the steps of the method embodiments described above.

In an embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the steps of the method embodiments described above.

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.) related to 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 need to comply with the related laws and regulations and standards of the related country and region.

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 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 embodiments provided herein may include at least one of a relational database and a non-relational database. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processor referred to in the embodiments provided in the present application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, or the like, but is not 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 foregoing examples illustrate only a few embodiments of the application and are described in detail herein without thereby limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of the application should be assessed as that of the appended claims.

Claims

1. An inter-provincial power transmission cost-based regional power grid spot market pricing method, the method comprising:

2. The method of claim 1, wherein the inter-provincial power transmission cost information includes trade tie unit power transmission cost parameters, and the pre-built genset start-stop state processing model is obtained by:

Acquiring an initial generator set start-stop state processing model and target constraint conditions, and determining a first target function corresponding to the first preset target according to the association relation among the generator set operation information, the generator set start-up information and the inter-provincial power transmission cost information; the target constraint conditions at least comprise a basic constraint condition of the regional power grid, a transmission power constraint condition of the transaction tie line unit, a load matching constraint condition of the transmitting and receiving end and a load balancing constraint condition of the provincial system;

3. The method of claim 2, wherein the pre-constructed spot market clearing model is obtained by:

4. The method of claim 2, wherein the transaction tie-line unit transmission cost parameter is determined by:

5. The method of any one of claims 1 to 4, further comprising, after the determining spot-market price information for the regional power grid:

generating a spot market clearing report of the regional power grid according to the spot market clearing power generation information, the spot market clearing power transmission information, the target start-stop state and the spot market clearing pricing information;

6. The method of claim 5, wherein determining spot-market pricing information for the regional power grid based on the target characteristic parameters comprises:

acquiring a spot market clearing and pricing model of the regional power grid;

7. Regional power grid spot market pricing device based on inter-provincial power transmission expense, the device comprising:

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.