CN109377088B - Novel evaluation method for intelligent power grid planning - Google Patents

Novel evaluation method for intelligent power grid planning Download PDF

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CN109377088B
CN109377088B CN201811378687.7A CN201811378687A CN109377088B CN 109377088 B CN109377088 B CN 109377088B CN 201811378687 A CN201811378687 A CN 201811378687A CN 109377088 B CN109377088 B CN 109377088B
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肖振锋
辛培哲
陈仲伟
王逸超
任浪
李达伟
李沛哲
李珊
邹昶鑫
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State Grid Corp of China SGCC
State Grid Hunan Electric Power Co Ltd
Economic and Technological Research Institute of State Grid Hunan Electric Power Co Ltd
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State Grid Hunan Electric Power Co Ltd
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Abstract

本发明公开了一种智能电网规划的新型评价方法，包括获取待评价的智能电网的规划方案；建立资产与功能的定性分析映射关系、功能与效益的定性分析映射关系和效益与资产的定量分析模型；建立资产到效益的多目标决策模型；采用多目标决策模型对待评价的智能电网规划进行评价。本发明建立了资产与效益的映射关系，并据此定量计算规划方案的技术、经济、环境效益，构建多目标决策模型，采用基于数据包络的CCR方法对规划方案的效率进行评价；本发明方法提高了效益值评价的准确性，避免了主观因素的干扰，提高了对规划方案评价的准确性和客观性。

Figure 201811378687

The invention discloses a new evaluation method for smart grid planning, which includes obtaining the planning scheme of the smart grid to be evaluated; establishing the qualitative analysis mapping relationship between assets and functions, the qualitative analysis mapping relationship between functions and benefits, and the quantitative analysis of benefits and assets model; establish a multi-objective decision-making model from assets to benefits; use the multi-objective decision-making model to evaluate the smart grid planning to be evaluated. The invention establishes the mapping relationship between assets and benefits, and quantitatively calculates the technical, economic and environmental benefits of the planning scheme, builds a multi-objective decision-making model, and uses the CCR method based on the data envelope to evaluate the efficiency of the planning scheme; The method improves the accuracy of benefit value evaluation, avoids the interference of subjective factors, and improves the accuracy and objectivity of the evaluation of the planning scheme.

Figure 201811378687

Description

Novel evaluation method for intelligent power grid planning
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:
Figure BDA0001871361280000031
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
Figure BDA0001871361280000041
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
Figure BDA0001871361280000042
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:
Figure BDA0001871361280000043
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:
Figure BDA0001871361280000044
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:
Figure BDA0001871361280000051
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:
Figure BDA0001871361280000052
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:
Figure BDA0001871361280000053
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:
Figure BDA0001871361280000061
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:
Figure BDA0001871361280000062
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:
Figure BDA0001871361280000071
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.
Drawings
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:
Figure BDA0001871361280000111
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
Figure BDA0001871361280000112
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
Figure BDA0001871361280000113
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:
Figure BDA0001871361280000121
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:
Figure BDA0001871361280000122
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:
Figure BDA0001871361280000123
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:
Figure BDA0001871361280000131
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:
Figure BDA0001871361280000132
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:
Figure BDA0001871361280000133
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:
Figure BDA0001871361280000141
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:
Figure BDA0001871361280000142
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)

1.一种智能电网规划的新型评价方法，包括如下步骤：1. A new evaluation method for smart grid planning, comprising the following steps: S1.获取待评价的智能电网的规划方案；S1. Obtain the planning scheme of the smart grid to be evaluated; S2.根据步骤S1获取的待评价的智能电网的规划方案，统计规划方案中的资产，分析资产在智能电网中的功能，从而建立资产与功能的定性分析映射关系；具体为采用如下步骤建立映射关系：S2. According to the planning scheme of the smart grid to be evaluated obtained in step S1, the assets in the planning scheme are counted, and the functions of the assets in the smart grid are analyzed, thereby establishing a qualitative analysis mapping relationship between assets and functions; specifically, the following steps are used to establish a mapping relation: A.所述的资产包括智能断路器、高级量测装置/智能电表，用户能源管理系统、配电自动化系统、配电管理系统、设备状态监控系统、FACT装置、短路电流限制装置、微网控制器、WAMS系统、电动汽车充电桩、低阻抗电缆、清洁能源发电和电能存储装置；A. The assets described include smart circuit breakers, advanced measurement devices/smart meters, user energy management systems, distribution automation systems, distribution management systems, equipment status monitoring systems, FACT devices, short-circuit current limiting devices, and microgrid control devices, WAMS systems, electric vehicle charging piles, low-impedance cables, clean energy generation and electrical energy storage devices; B.所述的功能包括限制短路电流、对电网的广域监测及控制、潮流控制、自适应保护、馈线自动化、区域解列及黑启动、电压及无功控制、设备状态诊断预警、继电保护功能提升、负荷实时测量和管理、负荷转移控制、用户用能优化、电能存储和分布式发电；B. The described functions include limiting short-circuit current, wide-area monitoring and control of the power grid, power flow control, adaptive protection, feeder automation, regional decoupling and black start, voltage and reactive power control, equipment status diagnosis and early warning, relay Protection function enhancement, real-time load measurement and management, load transfer control, user energy optimization, electrical energy storage and distributed generation; C.建立资产与功能的定性分析映射关系矩阵A14×14；矩阵A14×14中的元素aij的取值规则为：在规划方案中，若第i项资产具有第j项功能，则元素aij的取值为1，否则元素aij的取值为0；其中i表示第i项资产，j表示第j项功能；C. Establish a qualitative analysis mapping relationship matrix A 14×14 between assets and functions; the value rule for elements a ij in matrix A 14×14 is: In the planning scheme, if the i-th asset has the j-th function, then The value of element a ij is 1, otherwise the value of element a ij is 0; where i represents the i-th asset, and j represents the j-th function; S3.根据步骤S2建立的资产与功能的定性分析映射关系，根据资产的功能，分析功能产生的效益，从而建立功能与效益的定性分析映射关系；具体为采用如下步骤建立映射关系：S3. According to the qualitative analysis mapping relationship between assets and functions established in step S2, according to the functions of the assets, analyze the benefits generated by the functions, thereby establishing a qualitative analysis mapping relationship between functions and benefits; specifically, the following steps are used to establish a mapping relationship: a.所述的功能包括限制短路电流、对电网的广域监测及控制、潮流控制、自适应保护、馈线自动化、区域解列及黑启动、电压及无功控制、设备状态诊断预警、继电保护功能提升、负荷实时测量和管理、负荷转移控制、用户用能优化、电能存储和分布式发电；a. The functions described include limiting short-circuit current, wide-area monitoring and control of the power grid, power flow control, adaptive protection, feeder automation, regional decoupling and black start, voltage and reactive power control, equipment status diagnosis and early warning, relaying Protection function enhancement, real-time load measurement and management, load transfer control, user energy optimization, electrical energy storage and distributed generation; b.所述的效益包括技术效益、经济效益及环境效益；技术效益包括递延发电容量投资、递延输配电容量投资和减少设备故障；经济效益包括降低输配电设备维护成本、减少电能损失、减少窃电和减少持续停电；环境效益包括降低线损及电能替代石油产生的二氧化碳减排和清洁能源发电产生的二氧化碳减排；b. The benefits described include technical benefits, economic benefits and environmental benefits; technical benefits include deferred power generation capacity investment, deferred power transmission and distribution capacity investment, and reduction of equipment failures; economic benefits include reduced transmission and distribution equipment maintenance costs, reduced electrical energy Loss, reduction of electricity theft and reduction of ongoing power outages; environmental benefits include reduction of line losses and CO2 reductions from replacing oil with electricity and CO2 reductions from clean energy power generation; c.建立功能与效益的定性分析映射关系矩阵H9×14；矩阵H9×14中的元素hmn的取值规则为：在规划方案中，若第n项功能具有第m项效益，则元素hmn的取值为1，否则取值为0；其中n表示第n项功能，m表示第m项效益；c. Establish a qualitative analysis mapping relationship matrix H 9×14 of function and benefit; the value rule of element h mn in matrix H 9×14 is: in the planning scheme, if the nth function has the mth benefit, then The value of the element h mn is 1, otherwise it is 0; where n represents the nth function, and m represents the mth benefit; S4.根据步骤S3建立的功能与效益的定性分析映射关系，建立各个效益的定量计算公式，从而建立效益与资产的定量分析模型；具体包括如下步骤：S4. According to the qualitative analysis mapping relationship between the function and the benefit established in step S3, establish a quantitative calculation formula for each benefit, thereby establishing a quantitative analysis model of the benefit and the asset; the specific steps include the following: (1)采用如下算式计算递延发电容量投资的效益：(1) Use the following formula to calculate the benefits of deferred power generation capacity investment:
Figure FDA0003166204150000021
Figure FDA0003166204150000021
 式中c1为列向量，其元素的值为规划方案中各个资产的数量；FMW_peak为列向量，元素为单位资产在电网高峰时产生的电量需求削减量；A为资产与功能的定性分析映射关系；h1为功能与效益的定性分析映射关系中递延发电容量投资与功能的映射关系行向量；logical(AA)为将列向量AA中的各个数值转换为逻辑值的函数，且若第i项资产产生该效益，则AA的第i列不为0，逻辑值为1；PE_peak为峰值电价；In the formula, c1 is a column vector, and the value of its elements is the number of each asset in the planning scheme; F MW_peak is a column vector, and the element is the reduction in electricity demand generated by a unit asset at the peak of the power grid; A is the qualitative analysis map of assets and functions relationship; h1 is the row vector of the mapping relationship between deferred power generation capacity investment and function in the qualitative analysis mapping relationship between function and benefit; logical(AA) is the function that converts each value in the column vector AA into a logical value, and if the first If the asset i produces this benefit, the i-th column of AA is not 0, and the logical value is 1; P E_peak is the peak electricity price; (2)采用如下算式计算递延输配电容量投资的效益：(2) Calculate the benefit of deferred transmission and distribution capacity investment using the following formula: B2＝CHGupgrade*(1-(1-r))T_deferred B 2 =CHG upgrade *(1-(1-r)) T_deferred 式中，CHGupgrade为输配电线路升级费用；r为贴现率；T_deferred为递延的时间，单位为年，且T_deferred＝T1+T2；其中T1的取值规则为：若AA2中的列向量有至少4个元素为非零元素，则T1＝1，其中
Figure FDA0003166204150000031
A为资产与功能的定性分析映射关系，h2为功能与效益的定性分析映射关系中递延输配电容量投资与功能的映射关系行向量；T2的取值规则为：若规划方案的设备中没有分布式电源和电能存储设备，则T2＝0；若规划方案的设备中有分布式电源或电能存储设备，则
Figure FDA0003166204150000032
其中round()为四舍五入函数，WDG为分布式电源的容量，WPEV为电能存储体设备产生的容量，WTOTAL为电网总装机容量；In the formula, CHG upgrade is the upgrade cost of transmission and distribution lines; r is the discount rate; T_deferred is the deferred time, in years, and T_deferred=T1+T2; the value rule of T1 is: if the column in AA 2 The vector has at least 4 non-zero elements, then T1=1, where
Figure FDA0003166204150000031
A is the qualitative analysis mapping relationship between assets and functions, h 2 is the row vector of the mapping relationship between deferred transmission and distribution capacity investment and functions in the qualitative analysis mapping relationship between functions and benefits; the value rule of T2 is: if the equipment of the planning scheme If there is no distributed power supply and electric energy storage equipment in the planning scheme, then T2=0;
Figure FDA0003166204150000032
where round() is the rounding function, W DG is the capacity of the distributed power source, W PEV is the capacity generated by the power storage device, and W TOTAL is the total installed capacity of the power grid; (3)采用如下算式计算减少设备故障的效益：(3) Use the following formula to calculate the benefit of reducing equipment failures:
Figure FDA0003166204150000033
Figure FDA0003166204150000033
 式中Fnum_fail为列向量，且其元素为规划方案中减少设备故障作用的资产数目占总设备数的比值；A为资产与功能的定性分析映射关系；h3为功能与效益的定性分析映射关系中减少设备故障与功能的映射关系行向量；Pcapi为设备故障维修资本；logical(AA)为将列向量AA中的各个数值转换为逻辑值的函数，且若第i项资产产生该效益，则AA的第i列不为0，逻辑值为1；In the formula, F num_fail is a column vector, and its elements are the ratio of the number of assets that reduce the effect of equipment failure in the planning scheme to the total number of equipment; A is the qualitative analysis mapping relationship between assets and functions; h 3 is the qualitative analysis mapping between functions and benefits Row vector of the mapping relationship between reducing equipment failures and functions in the relationship; P capi is the equipment failure maintenance capital; logical(AA) is the function of converting each value in the column vector AA into a logical value, and if the i-th asset produces the benefit , then the i-th column of AA is not 0, and the logical value is 1; (4)采用如下算式计算降低输配电设备维护成本的效益：(4) Use the following formula to calculate the benefit of reducing the maintenance cost of transmission and distribution equipment:
Figure FDA0003166204150000034
Figure FDA0003166204150000034
 式中Fweight_running为资产权重列向量；A为资产与功能的定性分析映射关系；h4为功能与效益的定性分析映射关系中降低输配电设备维护成本与功能的映射关系行向量；logical(AA)为将列向量AA中的各个数值转换为逻辑值的函数，且若第i项资产产生该效益，则AA的第i列不为0，逻辑值为1；Pcapi_running为输配电系统运营费用；In the formula, F weight_running is the column vector of asset weights; A is the qualitative analysis mapping relationship between assets and functions; h4 is the mapping relationship between reducing the maintenance cost of transmission and distribution equipment and the function in the qualitative analysis mapping relationship between functions and benefits. Row vector; logical( AA) is a function that converts each value in the column vector AA into a logical value, and if the i-th asset produces this benefit, the i-th column of AA is not 0, and the logical value is 1; P capi_running is the power transmission and distribution system Operating expenses; (5)采用如下算式计算减少电能损失的效益：(5) Calculate the benefit of reducing power loss by using the following formula:
Figure FDA0003166204150000041
Figure FDA0003166204150000041
 式中Fweight_loss为降低资产损失权重列向量，A为资产与功能的定性分析映射关系；h5为功能与效益的定性分析映射关系中减少电能损失与功能的映射关系行向量；logical(AA)为将列向量AA中的各个数值转换为逻辑值的函数，且若第i项资产产生该效益，则AA的第i列不为0，逻辑值为1；Wloss为电网损耗量；PRsale为售电价格；In the formula, F weight_loss is the column vector of the weight of reducing asset loss, A is the qualitative analysis mapping relationship between assets and functions; h 5 is the mapping relationship between reducing power loss and function in the qualitative analysis mapping relationship between function and benefit. Row vector; logical(AA) is a function that converts each value in the column vector AA into a logical value, and if the i-th asset produces this benefit, the i-th column of AA is not 0, and the logical value is 1; W loss is the power grid loss; PR sale is the electricity price; (6)采用如下算式计算减少窃电的效益：(6) Use the following formula to calculate the benefit of reducing electricity stealing:
Figure FDA0003166204150000042
Figure FDA0003166204150000042
 式中Fweight_stolen为减少窃电效果的权重列向量；A为资产与功能的定性分析映射关系；h6为功能与效益的定性分析映射关系中减少窃电与功能的映射关系行向量；logical(AA)为将列向量AA中的各个数值转换为逻辑值的函数，且若第i项资产产生该效益，则AA的第i列不为0，逻辑值为1；Wstolen为可能存在的窃电量的预估值；PRsale为售电价格；In the formula, F weight_stolen is the weight column vector for reducing the effect of electricity stealing; A is the qualitative analysis mapping relationship between assets and functions; h6 is the mapping relationship between reducing electricity stealing and functions in the qualitative analysis mapping relationship between functions and benefits; logical( AA) is a function that converts each numerical value in the column vector AA into a logical value, and if the i-th asset produces this benefit, then the i-th column of AA is not 0, and the logical value is 1; W stolen is a possible theft. The estimated value of electricity; PR sale is the price of electricity; (7)采用如下算式计算减少持续停电的效益：(7) Use the following formula to calculate the benefits of reducing continuous power outages:
Figure FDA0003166204150000043
Figure FDA0003166204150000043
 式中Fweight_outage为资产在电网中涵盖的用户数列向量，A为资产与功能的定性分析映射关系；h7为功能与效益的定性分析映射关系中减少持续停电与功能的映射关系行向量；logical(AA)为将列向量AA中的各个数值转换为逻辑值的函数，且若第i项资产产生该效益，则AA的第i列不为0，逻辑值为1；Wfami_consu为用户平均每小时用电量；Ten_outage为持续停电时间；In the formula, F weight_outage is the number sequence vector of users covered by assets in the power grid, A is the qualitative analysis mapping relationship between assets and functions; h 7 is the mapping relationship between reducing continuous power outages and functions in the qualitative analysis mapping relationship between functions and benefits. Row vector; logical (AA) is a function that converts each value in the column vector AA into a logical value, and if the i-th asset produces this benefit, the i-th column of AA is not 0, and the logical value is 1; W fami_consu is the average user per Hourly power consumption; T en_outage is the continuous power outage time; (8)采用如下算式计算降低线损及电能替代石油产生的二氧化碳减排的效益：(8) The following formula is used to calculate the benefit of reducing line loss and carbon dioxide emission reduction generated by replacing oil with electricity:
Figure FDA0003166204150000051
Figure FDA0003166204150000051
 式中Fweight_loss为降低资产损失权重列向量；A为资产与功能的定性分析映射关系；h8为功能与效益的定性分析映射关系中降低线损及电能替代石油产生的二氧化碳减排与功能的映射关系行向量；logical(AA)为将列向量AA中的各个数值转换为逻辑值的函数，且若第i项资产产生该效益，则AA的第i列不为0，逻辑值为1；Wloss为电网损耗量，EMpower_CO2为每度电的二氧化碳排放量；Fcharge_num为充电桩数量列向量；Wcharge_year为充电桩平均年充电量；EMgasoline_CO2为汽油每度电的距离消耗量的排放量；EMpower_CO2为每度电的二氧化碳排放量；In the formula, F weight_loss is the weight column vector of reducing asset loss; A is the qualitative analysis and mapping relationship between assets and functions; h 8 is the qualitative analysis and mapping relationship between functions and benefits, and the carbon dioxide emission reduction and functions of reducing line losses and replacing oil with electricity are calculated. The mapping relationship row vector; logical(AA) is a function that converts each value in the column vector AA into a logical value, and if the i-th asset produces this benefit, the i-th column of AA is not 0, and the logical value is 1; W loss is the power grid loss, EM power_CO2 is the carbon dioxide emission per kWh of electricity; F charge_num is the column vector of the number of charging piles; W charge_year is the average annual charging capacity of the charging piles; EM gasoline_CO2 is the emission of gasoline per kWh of distance consumption of electricity amount; EM power_CO2 is the carbon dioxide emission per kWh of electricity; (9)采用如下算式计算清洁能源发电产生的二氧化碳减排的效益：(9) Use the following formula to calculate the benefit of carbon dioxide emission reduction from clean energy power generation:
Figure FDA0003166204150000052
Figure FDA0003166204150000052
 式中Fcapacity_num为清洁能源装机容量；A为资产与功能的定性分析映射关系；h9为功能与效益的定性分析映射关系中清洁能源发电产生的二氧化碳减排与功能的映射关系行向量；logical(AA)为将列向量AA中的各个数值转换为逻辑值的函数，且若第i项资产产生该效益，则AA的第i列不为0，逻辑值为1；Wgenerate_year为清洁发电每千瓦装机的平均年发电量；EMpower_CO2为每度电的二氧化碳排放量；In the formula, F capacity_num is the installed capacity of clean energy; A is the qualitative analysis mapping relationship between assets and functions; h9 is the mapping relationship between the carbon dioxide emission reduction generated by clean energy power generation and the function in the qualitative analysis mapping relationship between functions and benefits; logical Row vector; (AA) is a function that converts each value in the column vector AA into a logical value, and if the i-th asset produces this benefit, the i-th column of AA is not 0, and the logical value is 1; W generate_year is the clean power generation every The average annual power generation of installed capacity in kilowatts; EM power_CO2 is the carbon dioxide emission per kWh of electricity; S5.根据步骤S4建立的效益与资产的定量分析模型，以规划方案的资产及资产的效益产出作为输入变量，以规划方案产生的相对效率作为输出变量，建立规划方案的效益目标函数，从而建立资产到效益的多目标决策模型；具体为采用如下模型作为决策模型：S5. According to the quantitative analysis model of benefits and assets established in step S4, the assets of the planning scheme and the benefit output of the assets are used as input variables, and the relative efficiency generated by the planning scheme is used as an output variable to establish the benefit objective function of the planning scheme, thereby Establish an asset-to-benefit multi-objective decision-making model; specifically, the following model is used as the decision-making model: 评价模型：
Figure FDA0003166204150000061
Evaluation model:
Figure FDA0003166204150000061
 式中θk表示第k个决策单元DMU距离有效前沿面的径向距离变量，即决策单元的相对效率；n为评价的方案数量；S-为m维输入松弛变量，S+为s维输出松弛变量，λj为第j个决策单元(DMU)的权重；where θ k represents the radial distance variable of the kth decision-making unit DMU from the effective frontier, that is, the relative efficiency of the decision-making unit; n is the number of evaluated solutions; S - is the m-dimensional input slack variable, and S + is the s-dimensional output Slack variable, λ j is the weight of the jth decision-making unit (DMU); 评价模型的输入：第j个方案的输入为列向量Xj＝[x1j,x2j,...,xmj]T，其中元素x1j,x2j,...,xmj分别表示规划方案的设备资产的数量，m表示第m种设备资产；第j个方案的效益产出列向量Yj＝[y1j,y2j,y3j]T，y1j为产出的技术效益且y1j＝B1+B2+B3，y2j为产出的经济效益且y2j＝B4+B5+B6+B7，y3j为产出的环境效益且y3j＝B8+B9；The input of the evaluation model: the input of the jth scheme is the column vector X j =[x 1j ,x 2j ,...,x mj ] T , where the elements x 1j ,x 2j ,...,x mj represent the planning, respectively The number of equipment assets of the scheme, m represents the mth equipment asset; the benefit output column vector of the jth scheme Y j = [y 1j , y 2j , y 3j ] T , y 1j is the technical benefit of the output and y 1j =B1+B2+B3, y 2j is the economic benefit of the output and y 2j =B4+B5+B6+B7, y 3j is the environmental benefit of the output and y 3j =B8+B9; 评价模型的输出：第j个方案的输出为θj，λj，j＝1,2,…,n；The output of the evaluation model: the output of the jth scheme is θ j , λ j , j=1,2,...,n; S6.采用步骤S5建立的资产到效益的多目标决策模型对待评价的智能电网规划进行评价，从而完成智能电网规划的评价过程。S6. Use the asset-to-benefit multi-objective decision-making model established in step S5 to evaluate the smart grid planning to be evaluated, thereby completing the smart grid planning evaluation process.
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