CN109377088B - Novel evaluation method for intelligent power grid planning - Google Patents
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Abstract
The invention discloses a novel evaluation method for intelligent power grid planning, which comprises the steps of obtaining a planning scheme of an intelligent power grid to be evaluated; establishing a qualitative analysis mapping relation of assets and functions, a qualitative analysis mapping relation of functions and benefits and a quantitative analysis model of benefits and assets; establishing a multi-objective decision model from assets to benefits; and evaluating the intelligent power grid plan to be evaluated by adopting a multi-target decision model. The method establishes a mapping relation between assets and benefits, quantitatively calculates technical, economic and environmental benefits of a planning scheme according to the mapping relation, constructs a multi-objective decision model, and evaluates the efficiency of the planning scheme by adopting a CCR (constant rate control) method based on data envelope; the method improves the accuracy of the benefit value evaluation, avoids the interference of subjective factors, and improves the accuracy and the objectivity of the evaluation of the planning scheme.
Description
Technical Field
The invention particularly relates to a novel evaluation method for intelligent power grid planning.
Background
With the development of economic technology, the smart grid is developed greatly. When the smart grid is constructed, sufficient and scientific planning needs to be performed in the early stage of construction, so that the feasibility, the reliability, the economy and the like of the construction of the smart grid are ensured.
In order to comprehensively evaluate the planning scheme of the intelligent power grid, scholars at home and abroad propose a plurality of new evaluation methods from the aspects of planning risk, scheme operation reliability, scheme full-period cost and the like; however, in the evaluation process of the current smart grid planning, the calculation of the evaluation index and the determination of the index weight are greatly influenced by subjective factors, the cost of the scheme is mainly considered from the perspective of planning construction, the relatively scientificity and objectivity are not sufficient, the considered influence factor is limited, and the reliability and scientificity of the evaluation result are also limited.
Disclosure of Invention
The invention aims to provide a novel evaluation method for intelligent power grid planning, which can carry out scientific, objective, comprehensive and reliable evaluation on the intelligent power grid planning.
The novel evaluation method for the intelligent power grid planning, provided by the invention, comprises the following steps:
s1, acquiring a planning scheme of an intelligent power grid to be evaluated;
s2, according to the planning scheme of the smart power grid to be evaluated, which is obtained in the step S1, the assets in the planning scheme are counted, the functions of the assets in the smart power grid are analyzed, and therefore a qualitative analysis mapping relation between the assets and the functions is established;
s3, analyzing the benefits generated by the functions according to the qualitative analysis mapping relation between the assets and the functions established in the step S2, and thus establishing the qualitative analysis mapping relation between the functions and the benefits;
s4, establishing a quantitative calculation formula of each benefit according to the qualitative analysis mapping relation between the function and the benefit established in the step S3, and accordingly establishing a quantitative analysis model of the benefit and the asset;
s5, according to the quantitative analysis model of the benefits and the assets established in the step S4, establishing a benefit objective function of the planning scheme by taking the assets and the benefit output of the assets of the planning scheme as input variables and taking the relative efficiency generated by the planning scheme as output variables, thereby establishing a multi-objective decision model from the assets to the benefits;
and S6, evaluating the intelligent power grid plan to be evaluated by adopting the asset-to-benefit multi-target decision model established in the step S5, thereby finishing the evaluation process of the intelligent power grid plan.
Step S2, which is to establish a qualitative analysis mapping relationship between the assets and the functions, specifically, the mapping relationship is established by the following steps:
A. the assets comprise intelligent circuit breakers, advanced metering equipment (AMI)/intelligent electric meters, user energy management systems, power distribution automation systems, power distribution management systems, equipment state monitoring systems, FACT devices (flexible alternating current transmission devices), short-circuit current limiting devices, microgrid controllers, WAMS systems (wide area monitoring systems), electric automobile charging piles, low-impedance cables, clean energy power generation (including solar energy, wind energy and the like) and electric energy storage devices (including batteries, flywheels and electric automobiles);
B. the functions comprise short-circuit current limiting, wide-area monitoring and control over a power grid, power flow control, adaptive protection, feeder automation, regional splitting and black start, voltage and reactive control, equipment state diagnosis and early warning, relay protection function improvement, load real-time measurement and management, load transfer control, user energy utilization optimization, electric energy storage and distributed power generation;
C. establishing a qualitative analysis mapping relation matrix A of assets and functions14×14(ii) a Matrix A14×14Element a in (1)ijThe value rule is as follows: in the planning scheme, if the ith asset has the jth function, element aijIs 1, otherwise the element aijIs 0; where i represents the ith asset and j represents the jth function.
The step S3 is to establish a qualitative analysis mapping relationship between functions and benefits, specifically, the step of establishing the mapping relationship includes the following steps:
a. the functions comprise short-circuit current limiting, wide-area monitoring and control over a power grid, power flow control, adaptive protection, feeder automation, regional splitting and black start, voltage and reactive control, equipment state diagnosis and early warning, relay protection function improvement, load real-time measurement and management, load transfer control, user energy utilization optimization, electric energy storage and distributed power generation;
b. the benefits comprise technical benefits, economic benefits and environmental benefits; the technical benefits include delaying the power generation capacity investment, delaying the transmission and distribution capacity investment and reducing equipment faults; the economic benefits include reduction of maintenance cost of power transmission and distribution equipment, reduction of electric energy loss, reduction of electricity stealing and reduction of continuous power failure; the environmental benefits include reduction of line loss and carbon dioxide emission generated by replacing petroleum with electric energy and carbon dioxide emission generated by clean energy power generation;
c. establishing a qualitative analysis mapping relation matrix H of functions and benefits9×14(ii) a Matrix H9×14Element h in (1)mnThe value rule is as follows: in the planning scheme, if the nth function has the mth benefit, the element hmnThe value of (1) is 1, otherwise the value of (0) is obtained; wherein n represents the nth function and m represents the mth benefit.
The establishment of the quantitative analysis model of the benefits and the assets described in the step S4 specifically includes the following steps:
(1) the benefit of the deferred power generation capacity investment is calculated by adopting the following formula:
where c1 is a column vector whose element values are the number of individual assets in the planning solution; fMW_peakThe element is a column vector and is the reduction amount of the electric quantity demand generated by unit assets at the peak of the power grid; a is a qualitative analysis mapping relation of assets and functions; h is1Carrying out qualitative analysis on the mapping relation between the functions and the benefits to delay the mapping relation row vector between the power generation capacity investment and the functions; local (AA) is a function that converts each value in column vector AA to a logical value, and if the ith asset yields the benefit, then column AA is not 0 and the logical value is 1; pE_peakIs the peak electricity price;
(2) the benefit of the deferred transmission and distribution capacity investment is calculated by adopting the following formula:
B2＝CHGupgrade*(1-(1-r))T_deferred
in the formula, CHGupgradeUpdating cost for the power transmission and distribution line; r is the discount rate; t _ transferred is the time of the deferral in years, and T _ transferred is T1+ T2; wherein the value rule of T1 is: if AA2Has at least 4 non-zero elements, T1 is 1, wherein
A is qualitative analysis mapping relation of assets and functions, h2Carrying out qualitative analysis on the mapping relation row vector of the deferred transmission and distribution capacity investment and the function in the mapping relation of the function and the benefit; the value rule of T2 is: if the device of the planning scheme does not have the distributed power supply and the electric energy storage device, T2 is equal to 0; if the equipment for planning the scheme has a distributed power supply or an electric energy storage device
Where round () is the rounding function, WDGCapacity of distributed power supply, WPEVCapacity generated for electric energy storage bank devices, WTOTALThe total installed capacity of the power grid;
(3) the benefit of reducing equipment failure is calculated using the following equation:
in the formula Fnum_failThe column vector is defined, and the element of the column vector is the ratio of the number of assets which reduce the failure effect of the equipment in the planning scheme to the total number of the equipment; a is a qualitative analysis mapping relation of assets and functions; h is3Reducing mapping relation row vectors of equipment faults and functions in the qualitative analysis mapping relation of the functions and benefits; pcapiCapital for equipment troubleshooting; local (AA) is a function that converts each value in column vector AA to a logical value, and if the ith asset yields the benefit, then column AA is not 0 and the logical value is 1;
(4) the benefit of reducing the maintenance cost of the power transmission and distribution equipment is calculated by adopting the following formula:
in the formula Fweight_runningAn asset weight column vector; a is a qualitative analysis mapping relation of assets and functions; h is4The mapping relation row vector of the maintenance cost and the function of the power transmission and distribution equipment is reduced in the qualitative analysis mapping relation of the function and the benefit; local (AA) is a function that converts each value in column vector AA to a logical value, and if the ith asset yields the benefit, then column AA is not 0 and the logical value is 1; pcapi_runningOperating expenses for the power transmission and distribution system;
(5) the benefit of reducing the power loss is calculated by the following formula:
in the formula Fweight_lossIn order to reduce the weight column vector of the asset loss, A is the qualitative analysis mapping relation of the asset and the function; h is5Mapping for reducing power loss and function in qualitative analysis mapping relation of function and benefitA ray relation row vector; local (AA) is a function that converts each value in column vector AA to a logical value, and if the ith asset yields the benefit, then column AA is not 0 and the logical value is 1; wlossThe loss amount of the power grid is obtained; PRsaleThe price for electricity sale;
(6) the benefit of reducing electricity stealing is calculated by the following formula:
in the formula Fweight_stolenA weight column vector to reduce the power stealing effect; a is a qualitative analysis mapping relation of assets and functions; h is6Reducing mapping relation row vectors of electricity stealing and functions in the qualitative analysis mapping relation of functions and benefits; local (AA) is a function that converts each value in column vector AA to a logical value, and if the ith asset yields the benefit, then column AA is not 0 and the logical value is 1; wstolenA predicted value for the amount of possible electricity stealing; PRsaleThe price for electricity sale;
(7) the benefit of reducing the continuous power failure is calculated by adopting the following formula:
in the formula Fweight_outageThe method comprises the steps that a user array vector covered by an asset in a power grid is represented, and A is a qualitative analysis mapping relation of the asset and functions; h is7Reducing the mapping relation row vector of continuous power failure and function in the qualitative analysis mapping relation of function and benefit; local (AA) is a function that converts each value in column vector AA to a logical value, and if the ith asset yields the benefit, then column AA is not 0 and the logical value is 1; wfami_consuAverage hourly power consumption for the user; t isen_outageFor sustained blackout time;
(8) the benefits of reducing line loss and reducing carbon dioxide emission generated by replacing petroleum with electric energy are calculated by the following formula:
in the formula Fweight_lossTo reduce asset loss weight column vectors; a is a qualitative analysis mapping relation of assets and functions; h is8The line loss and the electric energy are reduced in the qualitative analysis mapping relation between the functions and the benefits, and the mapping relation row vector of the carbon dioxide emission reduction and the functions generated by replacing petroleum is analyzed; local (AA) is a function that converts each value in column vector AA to a logical value, and if the ith asset yields the benefit, then column AA is not 0 and the logical value is 1; wlossFor grid losses, EMpower_CO2Carbon dioxide emissions per degree of electricity; fcharge_numThe number of the charging piles is a column vector; wcharge_yearThe average annual charge amount of the charging piles is obtained; EMgasoline_CO2The amount of emissions being the distance consumption of gasoline per degree of electricity; EMpower_CO2Carbon dioxide emissions per degree of electricity;
(9) the following formula is adopted to calculate the benefit of carbon dioxide emission reduction generated by clean energy power generation:
in the formula Fcapacity_numInstalling capacity for clean energy; a is a qualitative analysis mapping relation of assets and functions; h is9Analyzing a mapping relation row vector of carbon dioxide emission reduction and functions generated by the power generation of the clean energy in the mapping relation for the qualitative analysis of the functions and the benefits; local (AA) is a function that converts each value in column vector AA to a logical value, and if the ith asset yields the benefit, then column AA is not 0 and the logical value is 1; wgenerate_yearThe average annual energy production of each kilowatt installation for clean power generation; EMpower_CO2Carbon dioxide emissions per degree of electricity.
The step S5 is to establish the asset-to-benefit multi-objective decision model, specifically, the following model is used as the decision model:
evaluation model:
in the formula [ theta ]kThe radial distance variable of the kth decision unit DMU from the effective front surface is represented, namely the relative efficiency of the decision unit; n is the number of evaluated solutions; s-For m-dimensional input relaxation variables, S+For the s-dimensional output of a relaxation variable, λjIs the weight of the jth decision unit (DMU);
inputting an evaluation model: the input to the jth scheme is a column vector Xj＝[x1j,x2j,...,xmj]TWherein the element x1j,x2j,...,xmjRespectively representing the number of equipment assets of the planning scheme, wherein m represents the mth equipment asset; the benefit of the jth scheme yields a column vector Yj＝[y1j,y2j,y3j]T，y1jFor technical benefit of output and y1j＝B1+B2+B3，y2jFor economic benefit of production and y2j＝B4+B5+B6+B7，y3jFor the environmental benefit of the output and y3j＝B8+B9；
Output of the evaluation model: the output of the jth scheme is θj，λj，j＝1,2,…,n。
According to the novel evaluation method for the intelligent power grid planning, provided by the invention, the mapping relation between assets and benefits is established, the technical, economic and environmental benefits of the planning scheme are calculated quantitatively according to the mapping relation, a multi-objective decision model is constructed, and the efficiency of the planning scheme is evaluated by adopting a CCR (constant rate control) method based on data envelope; the accuracy of the benefit value is improved through the specific analysis and calculation of the asset benefit composition in the planning scheme; and for the evaluation of various benefit targets of a plurality of planning schemes, a CCR evaluation model based on data envelope analysis is adopted, so that the interference of subjective factors is avoided, and the accuracy and the objectivity of the evaluation of the planning schemes are improved.
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FIG. 1 is a process flow diagram of the process of the present invention.
Detailed Description
FIG. 1 shows a flow chart of the method of the present invention: the novel evaluation method for the intelligent power grid planning, provided by the invention, comprises the following steps:
s1, acquiring a planning scheme of an intelligent power grid to be evaluated;
s2, according to the planning scheme of the smart power grid to be evaluated, which is obtained in the step S1, the assets in the planning scheme are counted, the functions of the assets in the smart power grid are analyzed, and therefore a qualitative analysis mapping relation between the assets and the functions is established; specifically, the mapping relation is established by adopting the following steps:
A. the assets comprise intelligent circuit breakers, advanced metering equipment (AMI)/intelligent electric meters, user energy management systems, power distribution automation systems, power distribution management systems, equipment state monitoring systems, flexible alternating current transmission device devices, short-circuit current limiting devices, microgrid controllers, wide area measurement system systems, electric vehicle charging piles, low-impedance cables, clean energy power generation (comprising solar energy, wind energy and the like) and electric energy storage devices (comprising batteries, flywheels and electric vehicles);
B. the functions comprise short-circuit current limiting, wide-area monitoring and control over a power grid, power flow control, adaptive protection, feeder automation, regional splitting and black start, voltage and reactive control, equipment state diagnosis and early warning, relay protection function improvement, load real-time measurement and management, load transfer control, user energy utilization optimization, electric energy storage and distributed power generation;
C. establishing a qualitative analysis mapping relation matrix A of assets and functions14×14(ii) a Matrix A14×14Element a in (1)ijThe value rule is as follows: in the planning scheme, if the ith asset has the jth function, element aijIs 1, otherwise the element aijIs 0; wherein i represents the ith asset and j represents the jth function;
in particular, the asset-function schematic is shown in table 1 below:
TABLE 1 asset-function schematic table
| G1 | G2 | G3 | G4 | G5 | G6 | G7 | G8 | G9 | G10 | G11 | G12 | G13 | G14 | |
| F1 | 1 | |||||||||||||
| F2 | 1 | 1 | 1 | |||||||||||
| F3 | 1 | |||||||||||||
| F4 | 1 | 1 | 1 | 1 | 1 | |||||||||
| F5 | 1 | 1 | 1 | 1 | 1 | 1 | ||||||||
| F6 | 1 | |||||||||||||
| F7 | 1 | |||||||||||||
| F8 | 1 | |||||||||||||
| F9 | 1 | |||||||||||||
| F10 | 1 | 1 | 1 | 1 | 1 | 1 | ||||||||
| F11 | 1 | |||||||||||||
| F12 | 1 | |||||||||||||
| F13 | 1 | 1 | 1 | |||||||||||
| F14 | 1 | 1 |
In the table, the abscissa (F1 to F14) represents the type of asset, and the ordinate (G1 to G14) represents the type of function; an element of 1 indicates that the asset has the function, and an element of 0 indicates that the asset does not have the function (the 0 elements in the table are omitted);
s3, analyzing the benefits generated by the functions according to the qualitative analysis mapping relation between the assets and the functions established in the step S2, and thus establishing the qualitative analysis mapping relation between the functions and the benefits; specifically, the mapping relation is established by adopting the following steps:
a. the functions comprise short-circuit current limiting, wide-area monitoring and control over a power grid, power flow control, adaptive protection, feeder automation, regional splitting and black start, voltage and reactive control, equipment state diagnosis and early warning, relay protection function improvement, load real-time measurement and management, load transfer control, user energy utilization optimization, electric energy storage and distributed power generation;
b. the benefits comprise technical benefits, economic benefits and environmental benefits; the technical benefits include delaying the power generation capacity investment, delaying the transmission and distribution capacity investment and reducing equipment faults; the economic benefits include reduction of maintenance cost of power transmission and distribution equipment, reduction of electric energy loss, reduction of electricity stealing and reduction of continuous power failure; the environmental benefits include reduction of line loss and carbon dioxide emission generated by replacing petroleum with electric energy and carbon dioxide emission generated by clean energy power generation;
c. establishing a qualitative analysis mapping relation matrix H of functions and benefits9×14(ii) a Matrix H9×14Element h in (1)mnThe value rule is as follows: in the planning scheme, if the nth function has the mth benefit, the element hmnThe value of (1) is 1, otherwise the value of (0) is obtained; wherein n represents the nth function and m represents the mth benefit;
specifically, the function-benefit relationship table is shown in table 2 below:
TABLE 2 function-benefit relationship Table
| G1 | G2 | G3 | G4 | G5 | G6 | G7 | G8 | G9 | G10 | G11 | G12 | G13 | G14 | |
| B1 | 1 | 1 | 1 | |||||||||||
| B2 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | ||||||
| B3 | 1 | 1 | 1 | |||||||||||
| B4 | 1 | 1 | 1 | 1 | ||||||||||
| B5 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | |||||||
| B6 | 1 | |||||||||||||
| B7 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | ||||
| B8 | 1 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | |||||
| B9 | 1 |
In the formula, the abscissa (B1-B9) represents the type of benefit, and the ordinate (G1-G14) represents the type of function; an element of 1 indicates that the function produces the benefit, and an element of 0 indicates that the function does not produce the benefit (elements 0 in the table are omitted);
s4, establishing a quantitative calculation formula of each benefit according to the qualitative analysis mapping relation between the function and the benefit established in the step S3, and accordingly establishing a quantitative analysis model of the benefit and the asset; the method specifically comprises the following steps:
(1) the benefit of the deferred power generation capacity investment is calculated by adopting the following formula:
where c1 is a column vector whose element values are the number of individual assets in the planning solution; fMW_peakThe element is a column vector and is the reduction amount of the electric quantity demand generated by unit assets at the peak of the power grid; a is a qualitative analysis mapping relation of assets and functions; h is1Carrying out qualitative analysis on the mapping relation between the functions and the benefits to delay the mapping relation row vector between the power generation capacity investment and the functions; local (AA) is a function that converts each value in column vector AA to a logical value, and if the ith asset yields the benefit, then column AA is not 0 and the logical value is 1; pE_peakIs the peak electricity price;
(2) the benefit of the deferred transmission and distribution capacity investment is calculated by adopting the following formula:
B2＝CHGupgrade*(1-(1-r))T_deferred
in the formula, CHGupgradeUpdating cost for the power transmission and distribution line; r is the discount rate; t _ transferred is the time of the deferral in years, and T _ transferred is T1+ T2; wherein the value rule of T1 is: if AA2Has at least 4 non-zero elements, T1 is 1, wherein
A is qualitative analysis mapping relation of assets and functions, h2Carrying out qualitative analysis on the mapping relation row vector of the deferred transmission and distribution capacity investment and the function in the mapping relation of the function and the benefit; the value rule of T2 is: if the device of the planning scheme does not have the distributed power supply and the electric energy storage device, T2 is equal to 0; if the equipment for planning the scheme has a distributed power supply or an electric energy storage device
Where round () is the rounding function, WDGCapacity of distributed power supply, WPEVCapacity generated for electric energy storage bank devices, WTOTALThe total installed capacity of the power grid;
(3) the benefit of reducing equipment failure is calculated using the following equation:
in the formula Fnum_failThe column vector is defined, and the element of the column vector is the ratio of the number of assets which reduce the failure effect of the equipment in the planning scheme to the total number of the equipment; a is a qualitative analysis mapping relation of assets and functions; h is3Reducing mapping relation row vectors of equipment faults and functions in the qualitative analysis mapping relation of the functions and benefits; pcapiCapital for equipment troubleshooting; local (AA) is a function that converts each value in column vector AA to a logical value, and if the ith asset yields the benefit, then column AA is not 0 and the logical value is 1;
(4) the benefit of reducing the maintenance cost of the power transmission and distribution equipment is calculated by adopting the following formula:
in the formula Fweight_runningAn asset weight column vector; a is a qualitative analysis mapping relation of assets and functions; h is4The mapping relation row vector of the maintenance cost and the function of the power transmission and distribution equipment is reduced in the qualitative analysis mapping relation of the function and the benefit; local (AA) is a function that converts each value in column vector AA to a logical value, and if the ith asset yields the benefit, then column AA is not 0 and the logical value is 1; pcapi_runningOperating expenses for the power transmission and distribution system;
(5) the benefit of reducing the power loss is calculated by the following formula:
in the formula Fweight_lossIn order to reduce the weight column vector of the asset loss, A is the qualitative analysis mapping relation of the asset and the function; h is5The mapping relation row vector of the electric energy loss and the function is reduced in the qualitative analysis mapping relation of the function and the benefit; local (AA) is a function that converts each value in column vector AA to a logical value, and if the ith asset yields the benefit, then column AA is not 0 and the logical value is 1; wlossThe loss amount of the power grid is obtained; PRsaleThe price for electricity sale;
(6) the benefit of reducing electricity stealing is calculated by the following formula:
in the formula Fweight_stolenA weight column vector to reduce the power stealing effect; a is a qualitative analysis mapping relation of assets and functions; h is6Reducing mapping relation row vectors of electricity stealing and functions in the qualitative analysis mapping relation of functions and benefits; local (AA) is a function that converts each value in column vector AA to a logical value, and if the ith asset yields the benefit, then column AA is not 0 and the logical value is 1; wstolenA predicted value for the amount of possible electricity stealing; PRsaleThe price for electricity sale;
(7) the benefit of reducing the continuous power failure is calculated by adopting the following formula:
in the formula Fweight_outageThe method comprises the steps that a user array vector covered by an asset in a power grid is represented, and A is a qualitative analysis mapping relation of the asset and functions; h is7Reducing the mapping relation row vector of continuous power failure and function in the qualitative analysis mapping relation of function and benefit; local (AA) is a function that converts each value in column vector AA to a logical value, and if the ith asset yields the benefit, then column AA is not 0 and the logical value is 1; wfami_consuAverage hourly power consumption for the user; t isen_outageFor sustained blackout time;
(8) the benefits of reducing line loss and reducing carbon dioxide emission generated by replacing petroleum with electric energy are calculated by the following formula:
in the formula Fweight_lossTo reduce asset loss weight column vectors; a is a qualitative analysis mapping relation of assets and functions; h is8The line loss and the electric energy are reduced in the qualitative analysis mapping relation between the functions and the benefits, and the mapping relation row vector of the carbon dioxide emission reduction and the functions generated by replacing petroleum is analyzed; local (AA) is a function that converts each value in column vector AA to a logical value, and if the ith asset yields the benefit, then column AA is not 0 and the logical value is 1; wlossFor grid losses, EMpower_CO2Carbon dioxide emissions per degree of electricity; fcharge_numThe number of the charging piles is a column vector; wcharge_yearThe average annual charge amount of the charging piles is obtained; EMgasoline_CO2The amount of emissions being the distance consumption of gasoline per degree of electricity; EMpower_CO2Carbon dioxide emissions per degree of electricity;
(9) the following formula is adopted to calculate the benefit of carbon dioxide emission reduction generated by clean energy power generation:
in the formula Fcapacity_numInstalling capacity for clean energy; a is a qualitative analysis mapping relation of assets and functions; h is9Analyzing a mapping relation row vector of carbon dioxide emission reduction and functions generated by the power generation of the clean energy in the mapping relation for the qualitative analysis of the functions and the benefits; local (AA) is a function that converts each value in column vector AA to a logical value, and if the ith asset yields the benefit, then column AA is not 0 and the logical value is 1; wgenerate_yearThe average annual energy production of each kilowatt installation for clean power generation; EMpower_CO2Carbon dioxide emissions per degree of electricity；
S5, according to the quantitative analysis model of the benefits and the assets established in the step S4, establishing a benefit objective function of the planning scheme by taking the assets and the benefit output of the assets of the planning scheme as input variables and taking the relative efficiency generated by the planning scheme as output variables, thereby establishing a multi-objective decision model from the assets to the benefits; specifically, the following CCR model is adopted as a decision model:
evaluation model:
in the formula [ theta ]kThe radial distance variable of the kth decision unit DMU from the effective front surface is represented, namely the relative efficiency of the decision unit; n is the number of evaluated solutions; s-For m-dimensional input relaxation variables, S+For the s-dimensional output of a relaxation variable, λjIs the weight of the jth decision unit (DMU);
inputting an evaluation model: the input to the jth scheme is a column vector Xj＝[x1j,x2j,...,xmj]TWherein the element x1j,x2j,...,xmjRespectively representing the number of equipment assets of the planning scheme, wherein m represents the mth equipment asset; the benefit of the jth scheme yields a column vector Yj＝[y1j,y2j,y3j]T，y1jFor technical benefit of output and y1j＝B1+B2+B3，y2jFor economic benefit of production and y2j＝B4+B5+B6+B7，y3jFor the environmental benefit of the output and y3j＝B8+B9；
Output of the evaluation model: the output of the jth scheme is θj，λj，j＝1,2,…,n；
S6, evaluating the intelligent power grid plan to be evaluated by adopting the asset-to-benefit multi-target decision model established in the step S5, so as to finish the evaluation process of the intelligent power grid plan; the larger the value of θ obtained in step S5, the higher the input-output efficiency of the corresponding planning scheme.
Claims (1)
1. A novel evaluation method for intelligent power grid planning comprises the following steps:
s1, acquiring a planning scheme of an intelligent power grid to be evaluated;
s2, according to the planning scheme of the smart power grid to be evaluated, which is obtained in the step S1, the assets in the planning scheme are counted, the functions of the assets in the smart power grid are analyzed, and therefore a qualitative analysis mapping relation between the assets and the functions is established; specifically, the mapping relation is established by adopting the following steps:
A. the assets comprise intelligent circuit breakers, advanced measuring devices/intelligent electric meters, user energy management systems, power distribution automation systems, power distribution management systems, equipment state monitoring systems, FACT devices, short-circuit current limiting devices, microgrid controllers, WAMS systems, electric vehicle charging piles, low-impedance cables, clean energy power generation and electric energy storage devices;
B. the functions comprise short-circuit current limiting, wide-area monitoring and control over a power grid, power flow control, adaptive protection, feeder automation, regional splitting and black start, voltage and reactive control, equipment state diagnosis and early warning, relay protection function improvement, load real-time measurement and management, load transfer control, user energy utilization optimization, electric energy storage and distributed power generation;
C. establishing a qualitative analysis mapping relation matrix A of assets and functions14×14(ii) a Matrix A14×14Element a in (1)ijThe value rule is as follows: in the planning scheme, if the ith asset has the jth function, element aijIs 1, otherwise the element aijIs 0; wherein i represents the ith asset and j represents the jth function;
s3, analyzing the benefits generated by the functions according to the qualitative analysis mapping relation between the assets and the functions established in the step S2, and thus establishing the qualitative analysis mapping relation between the functions and the benefits; specifically, the mapping relation is established by adopting the following steps:
a. the functions comprise short-circuit current limiting, wide-area monitoring and control over a power grid, power flow control, adaptive protection, feeder automation, regional splitting and black start, voltage and reactive control, equipment state diagnosis and early warning, relay protection function improvement, load real-time measurement and management, load transfer control, user energy utilization optimization, electric energy storage and distributed power generation;
b. the benefits comprise technical benefits, economic benefits and environmental benefits; the technical benefits include delaying the power generation capacity investment, delaying the transmission and distribution capacity investment and reducing equipment faults; the economic benefits include reduction of maintenance cost of power transmission and distribution equipment, reduction of electric energy loss, reduction of electricity stealing and reduction of continuous power failure; the environmental benefits include reduction of line loss and carbon dioxide emission generated by replacing petroleum with electric energy and carbon dioxide emission generated by clean energy power generation;
c. establishing a qualitative analysis mapping relation matrix H of functions and benefits9×14(ii) a Matrix H9×14Element h in (1)mnThe value rule is as follows: in the planning scheme, if the nth function has the mth benefit, the element hmnThe value of (1) is 1, otherwise the value of (0) is obtained; wherein n represents the nth function and m represents the mth benefit;
s4, establishing a quantitative calculation formula of each benefit according to the qualitative analysis mapping relation between the function and the benefit established in the step S3, and accordingly establishing a quantitative analysis model of the benefit and the asset; the method specifically comprises the following steps:
(1) the benefit of the deferred power generation capacity investment is calculated by adopting the following formula:
where c1 is a column vector whose element values are the number of individual assets in the planning solution; fMW_peakThe element is a column vector and is the reduction amount of the electric quantity demand generated by unit assets at the peak of the power grid; a is a qualitative analysis mapping relation of assets and functions; h is1Carrying out qualitative analysis on the mapping relation between the functions and the benefits to delay the mapping relation row vector between the power generation capacity investment and the functions; local (AA) is a function that converts each value in column vector AA to a logical value, and if the ith asset yields the benefit, then column AA is not 0 and the logical value is 1; pE_peakIs the peak electricity price;
(2) the benefit of the deferred transmission and distribution capacity investment is calculated by adopting the following formula:
B2＝CHGupgrade*(1-(1-r))T_deferred
in the formula, CHGupgradeUpdating cost for the power transmission and distribution line; r is the discount rate; t _ transferred is the time of the deferral in years, and T _ transferred is T1+ T2; wherein the value rule of T1 is: if AA2Has at least 4 non-zero elements, T1 is 1, wherein
A is qualitative analysis mapping relation of assets and functions, h2Carrying out qualitative analysis on the mapping relation row vector of the deferred transmission and distribution capacity investment and the function in the mapping relation of the function and the benefit; the value rule of T2 is: if the device of the planning scheme does not have the distributed power supply and the electric energy storage device, T2 is equal to 0; if the equipment for planning the scheme has a distributed power supply or an electric energy storage device
Where round () is the rounding function, WDGCapacity of distributed power supply, WPEVCapacity generated for electric energy storage bank devices, WTOTALThe total installed capacity of the power grid;
(3) the benefit of reducing equipment failure is calculated using the following equation:
in the formula Fnum_failThe column vector is defined, and the element of the column vector is the ratio of the number of assets which reduce the failure effect of the equipment in the planning scheme to the total number of the equipment; a is a qualitative analysis mapping relation of assets and functions; h is3Reducing mapping relation row vectors of equipment faults and functions in the qualitative analysis mapping relation of the functions and benefits; pcapiCapital for equipment troubleshooting; local (AA) is the conversion of each value in the column vector AA into a logical valueAnd if the ith asset yields the benefit, then the ith column of AA is not 0 and the logic value is 1;
(4) the benefit of reducing the maintenance cost of the power transmission and distribution equipment is calculated by adopting the following formula:
in the formula Fweight_runningAn asset weight column vector; a is a qualitative analysis mapping relation of assets and functions; h is4The mapping relation row vector of the maintenance cost and the function of the power transmission and distribution equipment is reduced in the qualitative analysis mapping relation of the function and the benefit; local (AA) is a function that converts each value in column vector AA to a logical value, and if the ith asset yields the benefit, then column AA is not 0 and the logical value is 1; pcapi_runningOperating expenses for the power transmission and distribution system;
(5) the benefit of reducing the power loss is calculated by the following formula:
in the formula Fweight_lossIn order to reduce the weight column vector of the asset loss, A is the qualitative analysis mapping relation of the asset and the function; h is5The mapping relation row vector of the electric energy loss and the function is reduced in the qualitative analysis mapping relation of the function and the benefit; local (AA) is a function that converts each value in column vector AA to a logical value, and if the ith asset yields the benefit, then column AA is not 0 and the logical value is 1; wlossThe loss amount of the power grid is obtained; PRsaleThe price for electricity sale;
(6) the benefit of reducing electricity stealing is calculated by the following formula:
in the formula Fweight_stolenTo reduce electricity stealingA weight column vector of effects; a is a qualitative analysis mapping relation of assets and functions; h is6Reducing mapping relation row vectors of electricity stealing and functions in the qualitative analysis mapping relation of functions and benefits; local (AA) is a function that converts each value in column vector AA to a logical value, and if the ith asset yields the benefit, then column AA is not 0 and the logical value is 1; wstolenA predicted value for the amount of possible electricity stealing; PRsaleThe price for electricity sale;
(7) the benefit of reducing the continuous power failure is calculated by adopting the following formula:
in the formula Fweight_outageThe method comprises the steps that a user array vector covered by an asset in a power grid is represented, and A is a qualitative analysis mapping relation of the asset and functions; h is7Reducing the mapping relation row vector of continuous power failure and function in the qualitative analysis mapping relation of function and benefit; local (AA) is a function that converts each value in column vector AA to a logical value, and if the ith asset yields the benefit, then column AA is not 0 and the logical value is 1; wfami_consuAverage hourly power consumption for the user; t isen_outageFor sustained blackout time;
(8) the benefits of reducing line loss and reducing carbon dioxide emission generated by replacing petroleum with electric energy are calculated by the following formula:
in the formula Fweight_lossTo reduce asset loss weight column vectors; a is a qualitative analysis mapping relation of assets and functions; h is8The line loss and the electric energy are reduced in the qualitative analysis mapping relation between the functions and the benefits, and the mapping relation row vector of the carbon dioxide emission reduction and the functions generated by replacing petroleum is analyzed; local (AA) is a function that converts each value in the column vector AA to a logical value, and if the ith asset yields the benefit, then the ith column of AA does notIs 0, the logic value is 1; wlossFor grid losses, EMpower_CO2Carbon dioxide emissions per degree of electricity; fcharge_numThe number of the charging piles is a column vector; wcharge_yearThe average annual charge amount of the charging piles is obtained; EMgasoline_CO2The amount of emissions being the distance consumption of gasoline per degree of electricity; EMpower_CO2Carbon dioxide emissions per degree of electricity;
(9) the following formula is adopted to calculate the benefit of carbon dioxide emission reduction generated by clean energy power generation:
in the formula Fcapacity_numInstalling capacity for clean energy; a is a qualitative analysis mapping relation of assets and functions; h is9Analyzing a mapping relation row vector of carbon dioxide emission reduction and functions generated by the power generation of the clean energy in the mapping relation for the qualitative analysis of the functions and the benefits; local (AA) is a function that converts each value in column vector AA to a logical value, and if the ith asset yields the benefit, then column AA is not 0 and the logical value is 1; wgenerate_yearThe average annual energy production of each kilowatt installation for clean power generation; EMpower_CO2Carbon dioxide emissions per degree of electricity;
s5, according to the quantitative analysis model of the benefits and the assets established in the step S4, establishing a benefit objective function of the planning scheme by taking the assets and the benefit output of the assets of the planning scheme as input variables and taking the relative efficiency generated by the planning scheme as output variables, thereby establishing a multi-objective decision model from the assets to the benefits; specifically, the following model is adopted as a decision model:
evaluation model:
in the formula [ theta ]kThe radial distance variable of the kth decision unit DMU from the effective front surface is represented, namely the relative efficiency of the decision unit; n is the number of evaluated solutions; s-Is input in m dimensionsRelaxation variable, S+For the s-dimensional output of a relaxation variable, λjIs the weight of the jth decision unit (DMU);
inputting an evaluation model: the input to the jth scheme is a column vector Xj＝[x1j,x2j,...,xmj]TWherein the element x1j,x2j,...,xmjRespectively representing the number of equipment assets of the planning scheme, wherein m represents the mth equipment asset; the benefit of the jth scheme yields a column vector Yj＝[y1j,y2j,y3j]T，y1jFor technical benefit of output and y1j＝B1+B2+B3，y2jFor economic benefit of production and y2j＝B4+B5+B6+B7，y3jFor the environmental benefit of the output and y3j＝B8+B9；
Output of the evaluation model: the output of the jth scheme is θj，λj，j＝1,2,…,n；
And S6, evaluating the intelligent power grid plan to be evaluated by adopting the asset-to-benefit multi-target decision model established in the step S5, thereby finishing the evaluation process of the intelligent power grid plan.
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