CN116385051A

CN116385051A - Flexible load distribution electricity price calculation method and device in power grid and computer equipment

Info

Publication number: CN116385051A
Application number: CN202211624917.XA
Authority: CN
Inventors: 杨鑫和; 冷媛; 梁梓杨; 卢治霖; 张妍; 尚楠; 黄国日
Original assignee: Energy Development Research Institute of China Southern Power Grid Co Ltd
Current assignee: Energy Development Research Institute of China Southern Power Grid Co Ltd
Priority date: 2022-12-16
Filing date: 2022-12-16
Publication date: 2023-07-04

Abstract

The application relates to a flexible load distribution electricity price calculation method and device in a power grid and computer equipment. The scheme comprises the following steps: the fixed input total expenditure of the power grid in the supervision period is obtained through a net present value method; acquiring the permitted income of the power grid in the supervision period by a risk premium method; calculating the response calling cost of a demand side, and obtaining the minimum total expenditure of the power grid under different load increasing scenes; obtaining a flexible load value through the permitted income, the minimum power grid total expenditure and the fixed input total expenditure; according to the flexible load value, calculating the stock and increment flexible load value by a Shapley value method and a long-term increment cost method based on the cooperative game; and acquiring the stock and increment flexible load distribution network charge compensation electricity price according to the stock and increment flexible load value and a preset annual factor. By adopting the scheme, accurate power distribution electricity price can be obtained.

Description

Flexible load distribution electricity price calculation method and device in power grid and computer equipment

Technical Field

The present application relates to the field of electricity price computing, and in particular, to a method, an apparatus, a computer device, a storage medium, and a computer program product for flexible load distribution electricity price computing in a power grid.

Background

The power grid system is an electric energy production and consumption system which is composed of links such as a power plant, a power transmission and transformation line, a power supply and distribution station, electricity consumption and the like, and is converted into electric energy through a power generation power device, and then the electric energy is supplied to each user through power transmission, transformation and distribution. Traditional pricing mode in the electric network system focuses on cost fair allocation among different users, and only realizes the basic function of recovering the input and output of the power distribution network through the power distribution price.

Although basic power distribution pricing is realized in a traditional pricing mode in a power grid system, in practical application, new requirements are put forward on development and utilization of flexible resources on a user side by the construction of a novel power system and clean transformation of an energy system, and the power distribution pricing method should stimulate investment construction of flexible loads and encourage the flexible resources on the user side to participate in demand side response so as to guide the implementation of power grid planning construction in the most economical mode.

Therefore, the conventional power grid system power distribution electricity price determining mode cannot meet the requirements of actual power grid system construction and management, namely accurate calculation of the power distribution electricity price meeting the requirements of actual power grid system construction and management cannot be realized.

Disclosure of Invention

In view of the foregoing, it is desirable to provide an accurate method, apparatus, computer device, computer readable storage medium and computer program product for calculating a flexible load distribution price in a power grid to support the construction of an actual power grid system.

In a first aspect, the present application provides a method for calculating a flexible load distribution electricity price in a power grid. The method comprises the following steps:

calculating direct expenditure of a fixed input project of the power grid, the sum of depreciations of the fixed input of the power grid and the fixed input expenditure in the supervision period, and acquiring the total fixed input expenditure of the power grid in the supervision period through a net present value method according to the direct expenditure of the fixed input project of the power grid, the sum of depreciations of the fixed input of the power grid and the fixed input expenditure;

acquiring risk-free yield and probability under different load increase scenes, and acquiring the permitted income of the power grid in the supervision period by a risk premium method according to the fixed input total expenditure, the risk-free yield and the probability under the different load increase scenes;

calculating the demand side response calling cost, and acquiring the minimum total power grid expenditure under different load increasing scenes according to the demand side response calling cost and the fixed investment total expenditure;

obtaining a flexible load value according to the permitted income, the minimum power grid total expenditure and the fixed input total expenditure;

according to the flexible load value, acquiring the stock and increment flexible load value through a Shapley value method and a long-term increment cost method based on the cooperative game;

And acquiring the stock and increment flexible load distribution network charge compensation electricity price according to the stock and increment flexible load value and a preset annual factor.

In one embodiment, the obtaining the stock and increment flexible load value according to the flexible load value through a shape method based on cooperative game and a long-term increment cost method includes:

according to the flexible load value, acquiring the stock flexible load value through a shape value method based on cooperative game;

and acquiring the increment flexible load value through a long-term increment cost method and a Shapley value method according to the stock flexible load value.

In one embodiment, the acquiring the risk-free rate of return and the probability under different load growth scenarios, according to the fixed input total expenditure, the risk-free rate of return and the probability under different load growth scenarios, acquiring the allowable income of the power grid in the supervision period by a risk premium method includes:

acquiring the risk-free yield and the probability under different load increasing scenes;

acquiring the input yield of the power grid under different load increasing scenes according to the fixed input total expenditure;

acquiring risk compensation yield according to the probability of different load increase scenes and the fixed input total expenditure;

And obtaining the permitted income of the power grid in the supervision period through a risk premium method according to the power grid input income rate, the risk-free income rate, the risk compensation income rate and the probability under different load growth scenes.

In one embodiment, the obtaining the risk compensation yield according to the probability of the different load increase scenarios and the total investment expenditure of the electric fixation includes:

acquiring the fixed input risk value of the power grid under different load increasing scenes according to the risk-free yield and the fixed input total expenditure;

acquiring a loss standard deviation according to the fixed input risk value of the power grid and the probability of different load increase scenes;

and obtaining the risk compensation yield according to the fixed input risk value of the power grid and the loss standard deviation.

In one embodiment, the calculating the call cost of the demand side response, according to the call cost of the demand side response and the fixed total investment expenditure, the obtaining the minimum total power grid expenditure under different load increasing scenarios includes:

calculating the response calling cost of a demand side according to the preset flexible load capacity and the demand response quotation of the preset flexible load;

And acquiring the minimum total expenditure of the power grid under different load increasing scenes according to the demand side response calling cost and the fixed input total expenditure.

In one embodiment, the obtaining a flexible load value based on the allowable revenue, the minimum grid total cost, and the fixed input total cost comprises:

acquiring a power grid input risk considering flexible load according to the probability of different load growth scenes, the permitted income and the minimum power grid total expenditure;

acquiring the fixed input risk value of the power grid according to the fixed input total expenditure;

and obtaining the flexible load value according to the power grid input risk considering the flexible load and the power grid fixed input risk value.

In a second aspect, the application also provides a flexible load distribution electricity price calculating device in the power grid. The device comprises:

the fixed input total expense obtaining module is used for calculating direct expense of the fixed input project of the power grid, the sum of depreciations of the fixed input of the power grid and the fixed input expense in the supervision period, and obtaining the fixed input total expense of the power grid in the supervision period through a net present value method according to the direct expense of the fixed input project of the power grid, the sum of depreciations of the fixed input of the power grid and the fixed input expense;

The permitted income acquisition module is used for acquiring the risk-free income rate and the probability under different load growth scenes, and acquiring the permitted income of the power grid in the supervision period through a risk premium method according to the fixed investment total expenditure, the risk-free income rate and the probability under different load growth scenes;

the minimum power grid total expenditure obtaining module is used for calculating the demand side response calling cost and obtaining the minimum power grid total expenditure under different load increasing scenes according to the demand side response calling cost and the fixed input total expenditure;

the flexible load value acquisition module is used for acquiring flexible load value according to the permitted income, the minimum total expenditure of the power grid and the fixed input risk value of the power grid;

the stock and increment flexible load value acquisition module is used for acquiring the stock and increment flexible load value according to the flexible load value through a shape value method based on cooperative game and a long-term increment cost method;

and the flexible load distribution network charge compensation electricity price acquisition module is used for acquiring the flexible load distribution network charge compensation electricity price according to the stock and increment flexible load value and the preset annual factor.

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:

calculating the demand side response calling cost, and acquiring the minimum total power grid expenditure under different load increasing scenes according to the demand side response calling cost and the total power grid fixed investment expenditure;

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:

The method, the device, the computer equipment, the storage medium and the computer program product for calculating the flexible load distribution electricity price in the power grid are used for calculating the direct expenditure of the fixed input project of the power grid, the depreciation sum of the fixed input of the power grid and the fixed input expenditure in the supervision period, and obtaining the total fixed input expenditure of the power grid in the supervision period through a net present value method according to the direct expenditure of the fixed input project of the power grid, the depreciation sum of the fixed input of the power grid and the fixed input expenditure; acquiring the risk-free yield and the probability under different load growth scenes, and acquiring the permitted income of the power grid in the supervision period by a risk premium method according to the fixed input total expenditure, the risk-free yield and the probability under different load growth scenes; calculating the demand side response calling cost, and acquiring the minimum total power grid expenditure under different load increasing scenes according to the demand side response calling cost and the fixed input total expenditure; obtaining flexible load value according to the permitted income, the minimum total expenditure of the power grid and the fixed input total expenditure; according to the flexible load value, acquiring the stock and increment flexible load value through a shape value method based on cooperative game and a long-term increment cost method; and acquiring the inventory and increment flexible load distribution network charge compensation electricity price according to the inventory and increment flexible load value and the preset annual factor. According to the scheme, the flexible load value is obtained by calculating the permitted income, the demand side response calling cost and the minimum grid total expenditure in the load increasing scene in the supervision period, the investment construction of the flexible load and the participation of the user side flexible resources in the demand side response are considered, and then the future flexible load distribution network fee compensation electricity price is obtained based on the shape value method and the long-term increment cost method of the cooperative game, the accurate calculation of the distribution electricity price can be supported, and the construction and management of an actual grid system can be supported.

Drawings

FIG. 1 is an application environment diagram of a flexible load distribution electricity price calculation method in a power grid in one embodiment;

FIG. 2 is a flow chart of a method of calculating a flexible load distribution price of electricity in a power grid in one embodiment;

FIG. 3 is a schematic diagram of a flexible load distribution electricity price computing method in a power grid;

FIG. 4 is a schematic flow chart of a method for calculating the power price of flexible load distribution in a power grid according to another embodiment;

FIG. 5 is a block diagram of a flexible load distribution electricity price computing device in a power grid in one embodiment;

fig. 6 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 method for calculating the power price of the flexible load distribution in the power grid, provided by the embodiment of the application, can be applied to an application environment shown in fig. 1. 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 receives a data processing request sent by a user and sends the data processing request to the server 104, the server 104 responds to the data processing request, calculates direct expenditure of a fixed input project of the power grid, the sum of depreciations of the fixed input of the power grid and the fixed input expenditure in a supervision period, and obtains the total fixed input expenditure of the power grid in the supervision period through a net present value method according to the direct expenditure of the fixed input project of the power grid, the sum of depreciations of the fixed input of the power grid and the fixed input expenditure; acquiring the risk-free yield and the probability under different load growth scenes, and acquiring the permitted income of the power grid in the supervision period by a risk premium method according to the fixed input total expenditure, the risk-free yield and the probability under different load growth scenes; calculating the demand side response calling cost, and acquiring the minimum total power grid expenditure under different load increasing scenes according to the demand side response calling cost and the fixed input total expenditure; obtaining flexible load value according to the permitted income, the minimum total expenditure of the power grid and the fixed input total expenditure; according to the flexible load value, acquiring the stock and increment flexible load value through a shape value method based on cooperative game and a long-term increment cost method; and acquiring the inventory and increment flexible load distribution network charge compensation electricity price according to the inventory and increment flexible load value and the preset annual factor. The terminal 102 may be, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers. 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 method for calculating a flexible load distribution electricity price in a power grid is provided, and the method is applied to the server 104 in fig. 1 for illustration, and includes the following steps:

s100, calculating direct expenditure of a fixed input project of the power grid, the sum of depreciations of the fixed input of the power grid and the fixed input expenditure in the supervision period, and acquiring the total fixed input expenditure of the power grid in the supervision period through a net present value method according to the direct expenditure of the fixed input project of the power grid, the sum of depreciations of the fixed input of the power grid and the fixed input expenditure.

The direct expenditure is fixed investment cost paid by the power grid enterprise with own funds in the initial stage of the power grid investment plan; depreciation is a monetary estimate of the value consumed over time by the fixed funds of the grid; the fixed investment expense represents the capital cost of the fixed investment project; the total fixed input expense of the power grid in the supervision period is the sum of direct expense, depreciation and fixed input expense of the fixed input project of the power grid in a certain period.

Specifically, parameters are initialized, and parameters to be initialized are listed in table 1:

table 1 initializing parameter requirements table

The factor parameters are set as dimensionless parameters and expressed in decimal form; the parameters of the coefficient class and the ratio class are set as non-dimension parameters and expressed in percentage form; the capacity class parameter is uniformly expressed in megawatts; the price cost class parameters are uniformly expressed by taking elements as units; the time class parameters are uniformly expressed in units of years.

Calculating direct expenditure Exp of fixed input project of power grid _y ：

Wherein y represents the year label in the supervision period, n represents the fixed input item label in the supervision period, inv _x,y Representing the investment amount of the fixed investment project n of the y-th year, 1-C _cate Representing the grid's own funds payment rate, exp _y Representing the direct expenditure of all fixed investment funds for the grid in the y-th year.

Calculating depreciation Dep of fixed input of power grid _y ：

Wherein L represents the service life of the fixed asset, D _rate,L Representing depreciation rate factor parameters, dep _y Representing the sum of depreciations of fixed assets for all investments in grid enterprises in the y-th year.

Calculating fixed input expenditure CoC _y ：

R _wacc ＝R _E *(1-C _rate )+R _D *C _rate

Wherein C is _cate The rate of financing investments for grid fixed assets, representing the fixed asset cost rate paid by capital market financing,

representing the financing amount of the fixed asset; RAV (RAV) _y Calculating the effective asset calculated for the power grid in the y-th year, namely calculating the calculated depreciation of the y-th year fixed asset subtracted from the effective asset in the y-1 th year plus the newly added fixed asset in the y-th year; r is R _E To benefit capital yield, R _D For debt capital yield, R _wacc For a standard Xu Shouyi rate, calculated by a weighted average capital cost method; coC (CoC) _y For fixed asset capital costs, the product of average and allowable profitability of the grid effective asset for the y-th and y-1-th years is expressed.

After calculating direct expenditure, depreciation and fixed investment expenditure of the fixed investment project of the power grid, calculating the total fixed investment expenditure of the power grid in the supervision period by a net present value method:

wherein K is the length of the supervision period, d is the discount rate parameter, cost _K The net present value representing the total cost of the grid fixed investment over the regulatory period.

S200, acquiring the risk-free yield and the probability under different load growth scenes, and acquiring the permitted income of the power grid in the supervision period through a risk premium method according to the fixed input total expenditure, the risk-free yield and the probability under different load growth scenes.

Wherein, the risk-free yield is the yield obtained by investing funds in a power grid investment project without any risk; the probability in different load increasing scenes is the probability when different loads are connected to the power grid; the permitted revenues are those of the grid company that are pre-approved by the government or regulatory agency to calculate the electricity transmission and distribution prices.

Specifically, the grant revenue is X, which should satisfy:

wherein R is _f For risk-free rate of return, the above expression indicates that the grid permissible revenues should be within the range of the total cost of investment for the grid corresponding to the maximum/minimum load growth rate.

Calculating the power grid input income rate RR under different load growth scenes through fixed input total expenditure _i The method comprises the steps of carrying out a first treatment on the surface of the Calculating the risk compensation yield rate R according to the probability and the fixed input total expenditure under different load growth scenes _p The method comprises the steps of carrying out a first treatment on the surface of the According to the input yield, the risk-free yield, the risk compensation yield and the probability under different load growth scenes of the power grid, a risk premium equation is constructed through a risk premium method, and the power grid risk yield and the permitted risk yield are solved:

the equation represents that the expected yield of all load growth scenes is equal to the sum of the risk-free yield and the risk yield, and the equation containing the independent variable X is solved through Newton iteration method, so that the risk yield and the risk permission income of the power grid enterprise are obtained.

And S300, calculating the response calling cost of the demand side, and acquiring the minimum total power grid expenditure under different load increasing scenes according to the response calling cost of the demand side and the fixed investment total expenditure.

The demand side response calling cost is the total cost net present value of the flexible load called by the power grid in the supervision period; the minimum grid total cost is the minimum of the fixed input total cost and the demand side response call cost.

Specifically, parameters in a parameter demand table are initialized, demand side response calling cost is calculated, and minimum grid total expenditure under different load increasing scenes is calculated according to the demand side response calling cost and fixed input total expenditure.

S400, obtaining flexible load value according to the permitted income, the minimum total expenditure of the power grid and the fixed input total expenditure.

Wherein, the flexible load value is the utility of flexible load to reduce the investment risk of the power grid.

Specifically, the probability P in a scene is increased by different loads _i Permissible income X and minimum grid total expenditure TC _i Calculating power grid input risk Loss considering flexible load _withF According to the average value of the fixed input risk value of the power grid under the conditions of considering the flexible load input risk and different load growth

Calculating the flexible load value VOF:

s500, acquiring the stock and increment flexible load value through a Shapley value method and a long-term increment cost method based on the cooperative game according to the flexible load value.

Specifically, according to the flexible load value, calculating the stock flexible load value SV by a Shapley value method based on cooperative game _N Flexible load value SV based on stock _N Calculating the increment flexible load value delta SV by a long-term increment cost method and a Shapley value method _N ：

And S600, calculating the inventory and increment flexible load distribution network charge compensation electricity price according to the inventory and increment flexible load value and the preset annual factor.

The network charge compensation price of the stock flexible load is the network charge compensation price of the existing flexible load, and the incremental flexible load network charge compensation price is the network charge compensation price after the flexible load is accessed in the future.

Specifically, the stock flexible load distribution network charge compensation electricity price

Is calculated as follows:

future flexible load network charge compensation electricity price

Is calculated as follows:

wherein, AF is an annual factor, which is calculated as:

the calculation method of the flexible load distribution electricity price in the whole power grid is shown in fig. 3.

In the flexible load distribution electricity price calculation method in the power grid, the direct expenditure of the fixed input project of the power grid, the sum of depreciations of the fixed input of the power grid and the fixed input expenditure are calculated, and the total fixed input expenditure of the power grid in the supervision period is obtained through a net present value method according to the direct expenditure of the fixed input project of the power grid, the sum of depreciations of the fixed input of the power grid and the fixed input expenditure; acquiring the risk-free yield and the probability under different load growth scenes, and acquiring the permitted income of the power grid in the supervision period by a risk premium method according to the fixed input total expenditure, the risk-free yield and the probability under different load growth scenes; calculating the demand side response calling cost, and acquiring the minimum total power grid expenditure under different load increasing scenes according to the demand side response calling cost and the fixed input total expenditure; obtaining flexible load value according to the permitted income, the minimum total expenditure of the power grid and the fixed input total expenditure; according to the flexible load value, acquiring the stock and increment flexible load value through a shape value method based on cooperative game and a long-term increment cost method; according to the increment flexible load value and the preset annual factor, the future flexible load distribution fee compensation electricity price is obtained, so that the distribution electricity price can be accurately calculated, and the construction and management of an actual power grid system can be supported.

In one embodiment, obtaining the stock and incremental flexible load value from the flexible load value by a shape method based on cooperative gaming and a long-term incremental cost method includes:

according to the flexible load value, acquiring the stock flexible load value through a shape value method based on cooperative game; and obtaining the increment flexible load value through a long-term increment cost method and a Shapley value method according to the stock flexible load value.

The stock flexible load value is the average value of marginal contributions of node N flexible loads to reduction of the input risk of the power grid under all the existing flexible combinations; the contribution degree of the incremental flexible load value to the reduction of the power grid input risk is the average value of marginal contributions of node N flexible loads to the reduction of the power grid input risk under all flexible combinations after the future flexible load access.

Specifically, according to the flexible load value, through the cooperation gameIs used for calculating the flexible load SV of the stock by the Shapley value method _N ：

Wherein SV is _N Represents the contribution degree of flexible load of the node N, pi _M Represents the combination of all flexible loads, M is the total combination number, pi represents the combination label,

the original combination representing that no combination is added to the flexible load at node N, >

Representing node N flexible load joining combination +.>

The new combination is performed.

Flexible loading SV based on stock _N Calculating the increment flexible load value delta SV by a long-term increment cost method and a Shapley value method _N ：

Wherein DeltaF _N,Max To increase the flexible load capacity, 1MW was taken.

In the embodiment, according to the flexible load value, the stock flexible load value is obtained by a shape method based on cooperative game; and according to the stock flexible load value, acquiring the increment flexible load value through a long-term increment cost method and a Shapley value method so as to facilitate calculation of flexible load distribution network charge compensation electricity price.

In one embodiment, as shown in fig. 4, obtaining the risk-free rate of return and the probability under different load growth scenarios, and obtaining the allowable income of the power grid in the supervision period by the risk-overflow method according to the fixed input total expenditure, the risk-free rate of return and the probability under different load growth scenarios includes:

s220, acquiring the risk-free yield and the probability under different load growth scenes.

S240, acquiring the input yield of the power grid under different load increasing scenes according to the fixed input total expenditure.

And S260, obtaining the risk compensation yield according to the probability and the fixed input total expenditure under different load growth scenes.

S280, obtaining the permitted income of the power grid in the supervision period through a risk premium method according to the input income rate, the risk-free income rate, the risk compensation income rate and the probability under different load growth scenes of the power grid.

The risk compensation yield is the yield of the grid investment, which is obtained by bearing the risk and exceeds the pure benefit.

Specifically, according to the fixed input total expenditure, calculating the power grid input yield RR under each load increase scene _i ：

This equation represents the rate of return when the actual cost of the grid enterprise exceeds the allowable cost, at which point RR _i Less than R _f Indicating that excess costs cannot be credited to the grant of revenue.

This equation represents the rate of return when the actual cost of the grid enterprise is less than the allowable cost, at which point RR _i Is smaller than R _f Indicating that the grid enterprise can obtain additional rate of return by saving cost.

Where sf is a cost-effective sharing factor for incentive price control, representing a return proportion of actual revenue less than the deficit of permitted revenue due to grid enterprises cost savings.

Calculating the risk compensation yield rate R according to the probability and the fixed input total expenditure under different load growth scenes _p ：

Wherein b represents the ratio of the unit risk value to the average income of the power grid enterprise, and delta is expressed as the standard deviation of loss, which is obtained by the supervision and management body according to the historical permitted cost of the power grid enterprise and the deviation degree of the permitted cost and the actual cost.

And solving the allowable income of the power grid in the supervision period by a risk premium method according to the input income rate, the risk-free income rate, the risk compensation income rate and the probability under different load growth scenes of the power grid.

In this embodiment, by acquiring the risk-free rate of return and the probability in different load growth scenarios, the grid input rate of return in different load growth scenarios is acquired according to the fixed input total expenditure, the risk compensation rate of return is acquired according to the probability in different load growth scenarios and the fixed input total expenditure, and the grid grant income in the supervision period is acquired by the risk premium method according to the grid input rate of return, the risk-free rate of return, the risk compensation rate of return and the probability in different load growth scenarios, and the flexible load value can be obtained by the acquired grant income.

In one embodiment, obtaining the risk compensation yield according to probabilities and fixed input total payouts in different load growth scenarios comprises:

acquiring the fixed input risk value of the power grid under different load increasing scenes according to the risk-free yield and the fixed input total expenditure; acquiring a loss standard deviation according to the fixed input risk value of the power grid and the probability of different load growth scenes; and obtaining the risk compensation yield according to the fixed input risk value and the loss standard deviation of the power grid.

Wherein the fixed input risk value of the power grid is that the actual expenditure exceeds or is smaller than the loss amount of the permitted expenditure; the loss standard deviation is a standard deviation of the amount of loss by which the actual payout exceeds or is less than the permissible payout.

Specifically, according to the risk-free yield and the fixed input totalExpenditure, calculating fixed input risk value Loss of power grid in scene i _i ：

Wherein the upper part of the above equation indicates that the actual payout exceeds the loss amount of the permissible payout, and the lower part indicates that the actual payout is smaller than the loss amount of the permissible payout.

The risk level is expressed by the loss standard deviation delta:

according to the fixed input risk value Loss of the power grid _i And loss standard deviation delta, calculating risk compensation yield rate R _p 。

In this embodiment, the fixed input risk value of the power grid in different load growth scenarios is obtained according to the risk-free gain and the fixed input total expenditure, then the loss standard deviation is obtained according to the fixed input risk value of the power grid and the probability in different load growth scenarios, and finally the risk compensation gain is obtained according to the fixed input risk value of the power grid and the loss standard deviation, so that the allowable income can be conveniently solved.

In one embodiment, calculating the demand side response call cost, and according to the demand side response call cost and the fixed input total expenditure, obtaining the minimum grid total expenditure under different load growth scenarios includes:

Calculating the response calling cost of a demand side according to the preset flexible load capacity and the demand response quotation of the preset flexible load; and obtaining the minimum total expenditure of the power grid under different load increasing scenes according to the demand side response calling cost and the fixed input total expenditure.

Specifically, according to the preset flexible load capacity and the preset flexible load demand response quotation, calculating the demand side response calling cost CoF:

wherein WTA _N Demand response offers representing flexible loads of node N, F _N,y Representing flexible load capacity in the y-th year.

The fixed asset investment cost CoR may be calculated by the following equation:

CoR＝Cost _K

minimum grid total expenditure TC _i To minimize fixed asset investment costs and demand side response call costs, expressed as:

TC _i ＝Min[CoR _i +CoF _i ]

the constraints of the above equation are expressed as:

PF _l,y ＝PTDF _N,l,y ×(D _N ×(1+r _i ) ^y -F _N,y )

PF _l,y -C _l ≤0y∈[1,...,Y _l ]

PF _l,y -2×C _l ≤0y∈[Y _l ,...,K]

1≤Y≤K

0≤F _N,y ≤F _N,Max y∈[1,...,K]

wherein l is the line number, D _N Represents the maximum load of node N in the initial year, PTDF _N,l,y PF is a power transfer distribution factor of the grid in the y-th year _l,y Representing the current of branch l in the y-th year, C _l Indicating the rated capacity of the branch l. PF (physical filter) _l,y -C _l ≤0y∈[1,...,Y _l ]With PF (physical filter) _l,y -2×C _l ≤0y∈[Y _l ,...,K]For trend constraint, Y is more than or equal to 1 and less than or equal to K and F is more than or equal to 0 _N,y ≤F _N,Max y∈[1,...,K]The value range is taken for the decision variable. The model is optimized by solving a breadth-based traversal method.

The specific calculation process is as follows:

(1) Based on the initial value of the decision variable (Y _l ＝0、F _N,y ) Calculating power grid power flow PF of initial year _l,y Judging whether all branch power flows meet PF _l,y -C _l ≤0y∈[1,...,Y _l ]Is a tide constraint of (a);

(2) If the load flow constraint is met, calculating the power grid load flow after the load growth of the second year, and if the load flow is not met, selecting a marked branch from large to small according to the overload condition of the branch to carry out investment capacity expansion, or calling different nodes from small to large to flexibly load and reduce the net load of the nodes; the rated capacity of the branch after capacity expansion is 2 times of the original rated capacity.

(3) Judging whether all the branches after capacity expansion meet the power flow constraint, and repeating the step (2) until all the branches meet the power flow constraint;

(4) Recording the investment cost and the demand response calling cost of the first year;

(5) Repeating steps (2) to (4), recording the total cost in the supervision period;

(6) Updating the combination of the branch needing capacity expansion and the flexible load needing calling, repeating the steps (2) to (5), comparing to obtain the combination with the lowest total cost, and recording the optimal decision variable and the total cost result.

In this embodiment, the demand side response calling cost is calculated according to the preset flexible load capacity and the preset flexible load demand response quotation, and the minimum total power grid expenditure under different load growth scenes is obtained according to the demand side response calling cost and the fixed input total expenditure, so that the calculation of the flexible load value can be facilitated.

In one embodiment, obtaining the flexible load value based on the permitted revenues, the minimum grid total cost, and the fixed input total cost comprises:

acquiring a power grid input risk considering flexible load according to the probability, the permitted income and the minimum total power grid expenditure under different load growth scenes; acquiring the fixed input risk value of the power grid according to the fixed input total expenditure; and acquiring the flexible load value according to the power grid input risk and the power grid fixed input risk value which consider the flexible load.

In particular, the grid investment risk Loss for flexible loads is calculated _withF ：

According to the fixed input total expenditure Cost _K Calculating average value of fixed input risk values of power grid under different load growth scenes

According to the average value of the fixed input risk value of the power grid +.>

Fixed input total Cost _K And obtaining the flexible load value VOF.

In this embodiment, the probability, the permitted income and the minimum total power grid expenditure under different load growth scenes are used to obtain the power grid input risk of the flexible load, and the flexible load value is obtained according to the power grid input risk of the flexible load and the fixed total power grid input expenditure, so that the incremental flexible load value can be obtained by calculating the flexible load value.

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 an electricity price calculating device for realizing the flexible load distribution electricity price calculating method in the power grid. The implementation scheme of the device for solving the problem is similar to that described in the method, so the specific limitation in the embodiment of the device for calculating electricity price of one or more electricity prices provided below can be referred to the limitation of the method for calculating the flexible load distribution electricity price in the power grid, and will not be repeated here.

In one embodiment, as shown in fig. 5, there is provided a flexible load distribution electricity price computing device in a power grid, comprising: a fixed input total expenditure obtaining module 100, a permissible income obtaining module 200, a minimum grid total expenditure obtaining module 300, a flexible load value obtaining module 400, an inventory and increment flexible load value obtaining module 500 and a flexible load distribution network fee compensation electricity price obtaining module 600, wherein:

the fixed input total expense obtaining module 100 is used for calculating direct expense of the fixed input project of the power grid, the sum of depreciations of the fixed input of the power grid and the fixed input expense in the supervision period, and obtaining the fixed input total expense of the power grid in the supervision period through a net present value method according to the direct expense of the fixed input project of the power grid, the sum of depreciations of the fixed input of the power grid and the fixed input expense;

the permitted income acquiring module 200 is configured to acquire a risk-free income ratio and probabilities under different load growth scenarios, and acquire permitted income of the power grid in the supervision period by a risk premium method according to the fixed input total expenditure, the risk-free income ratio and the probabilities under different load growth scenarios;

the minimum power grid total expenditure obtaining module 300 is used for calculating the demand side response calling cost, and obtaining the minimum power grid total expenditure under different load growing scenes according to the demand side response calling cost and the fixed input total expenditure;

The flexible load value obtaining module 400 is configured to obtain a flexible load value according to the permitted income, the minimum total expenditure of the power grid, and the fixed input total expenditure;

the stock and increment flexible load value acquisition module 500 is used for acquiring the stock and increment flexible load value according to the flexible load value through a shape value method based on cooperative game and a long-term increment cost method;

the flexible load distribution network charge compensation electricity price obtaining module 600 is configured to obtain the flexible load distribution network charge compensation electricity price according to the stock and increment flexible load value and the preset annual factor.

In one embodiment, the incremental flexible load value obtaining module 500 is further configured to obtain an inventory flexible load value according to the flexible load value by using a shape method based on the cooperative game; and obtaining the increment flexible load value through a long-term increment cost method and a Shapley value method according to the stock flexible load value.

In one embodiment, the grant revenue acquisition module 200 is also used to acquire risk-free profitability and probabilities under different load growth scenarios; according to the fixed input total expenditure, acquiring the input yield of the power grid under different load increasing scenes; obtaining risk compensation yield according to the probability and fixed input total expenditure under different load growth scenes; and obtaining the permitted income of the power grid in the supervision period through a risk premium method according to the input income rate, the risk-free income rate, the risk compensation income rate and the probability under different load growth scenes of the power grid.

In one embodiment, the permitted income acquiring module 200 is further configured to acquire the fixed input risk value of the power grid under different load growth scenarios according to the risk-free income ratio and the fixed input total expenditure; acquiring a loss standard deviation according to the fixed input risk value of the power grid and the probability of different load growth scenes; and obtaining the risk compensation yield according to the fixed input risk value and the loss standard deviation of the power grid.

In one embodiment, the minimum grid total expenditure obtaining module 300 is further configured to calculate a demand side response calling cost according to the preset flexible load capacity and the demand response quotation of the preset flexible load; and obtaining the minimum total expenditure of the power grid under different load increasing scenes according to the demand side response calling cost and the fixed input total expenditure.

In one embodiment, the flexible load value obtaining module 400 is further configured to obtain a risk of input of the power grid considering the flexible load according to probabilities, permitted revenues and minimum total power grid expenditure under different load growth scenarios; acquiring the fixed input risk value of the power grid according to the fixed input total expenditure; and acquiring the flexible load value according to the power grid input risk and the power grid fixed input risk value which consider the flexible load.

The modules in the flexible load distribution electricity price computing device in the power grid can be fully 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 server, the internal structure of which may be as shown in fig. 6. The computer device includes a processor, a memory, and a network interface connected by a system bus. 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 for storing parameter data. The network 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 flexible load distribution electricity price calculation in a power grid.

It will be appreciated by those skilled in the art that the structure shown in fig. 6 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:

calculating direct expenditure of a fixed input project of the power grid, the sum of depreciations of the fixed input of the power grid and the fixed input expenditure in the supervision period, and acquiring the total fixed input expenditure of the power grid in the supervision period through a net present value method according to the direct expenditure of the fixed input project of the power grid, the sum of depreciations of the fixed input of the power grid and the fixed input expenditure; acquiring the risk-free yield and the probability under different load growth scenes, and acquiring the permitted income of the power grid in the supervision period by a risk premium method according to the fixed input total expenditure, the risk-free yield and the probability under different load growth scenes; calculating the demand side response calling cost, and acquiring the minimum total power grid expenditure under different load increasing scenes according to the demand side response calling cost and the fixed input total expenditure; obtaining flexible load value according to the permitted income, the minimum total expenditure of the power grid and the fixed input total expenditure; according to the flexible load value, acquiring the stock and increment flexible load value through a shape value method based on cooperative game and a long-term increment cost method; and acquiring the inventory and increment flexible load distribution network charge compensation electricity price according to the inventory and increment flexible load value and the preset annual factor.

In one embodiment, the processor when executing the computer program further performs the steps of:

according to the flexible load value, acquiring the stock flexible load value through a shape value method based on cooperative game; and obtaining the increment flexible load value through a long-term increment cost method and a Shapley value method according to the stock flexible load value. In one embodiment, the processor when executing the computer program further performs the steps of:

acquiring the risk-free yield and the probability under different load increasing scenes; according to the fixed input total expenditure, acquiring the input yield of the power grid under different load increasing scenes; obtaining risk compensation yield according to the probability and fixed input total expenditure under different load growth scenes; and obtaining the permitted income of the power grid in the supervision period through a risk premium method according to the input income rate, the risk-free income rate, the risk compensation income rate and the probability under different load growth scenes of the power grid.

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:

In one embodiment, the computer program when executed by the processor further performs the steps of:

according to the flexible load value, acquiring the stock flexible load value through a shape value method based on cooperative game; and acquiring the increment flexible load value through a long-term increment cost method and a Shapley value method according to the stock flexible load value.

In one embodiment, a computer program product is provided comprising a computer program which, when executed by a processor, performs the steps of:

according to the flexible load value, acquiring the stock flexible load value through a shape value method based on cooperative game; and acquiring the increment flexible load value through a long-term increment cost method and a Shapley value method according to the stock flexible load value. In one embodiment, the computer program when executed by the processor further performs the steps of:

It should be noted that, user information (including but not limited to user equipment information, user personal information, etc.) and 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.

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

1. A method for calculating a flexible load distribution electricity price in a power grid, the method comprising:

2. The method of claim 1, wherein the obtaining the stock and incremental flexible load values from the flexible load values by a cooperative game-based Shapley method and a long-term incremental cost method comprises:

3. The method according to claim 1, wherein the obtaining the risk-free rate of return and the probability under different load-increase scenarios, according to the fixed input total expenditure, the risk-free rate of return and the probability under different load-increase scenarios, obtaining the grid permitted revenues in the supervision period by a risk premium method comprises:

4. The method of claim 3, wherein said obtaining risk compensation yield based on probabilities in said different load growth scenarios and said fixed total investment expenditure comprises:

5. The method of claim 1, wherein calculating the demand side response call cost, and obtaining the minimum grid total cost under different load growth scenarios based on the demand side response call cost and the fixed input total cost comprises:

6. The method of claim 1, wherein the obtaining a flexible load value based on the permitted revenues, the minimum grid total cost and the fixed input total cost comprises:

7. A flexible load distribution electricity price computing device in a power grid, the device comprising:

The flexible load value acquisition module is used for acquiring flexible load value according to the permitted income, the minimum power grid total expenditure and the fixed input total expenditure;

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.