CN114049022A - Comprehensive evaluation method and system for loss reduction measures and project implementation effects of power grid - Google Patents
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Abstract
The invention discloses a comprehensive evaluation method and a comprehensive evaluation system for the loss reduction measures and project implementation effects of a power grid, wherein the comprehensive evaluation method for the loss reduction measures and the project implementation effects of the power grid comprises the following steps: obtaining evaluation values of three evaluation indexes, namely, an evaluated power grid loss reduction measure and a project loss reduction and electricity saving amount, an investment recovery period and a project special index; the evaluation values of the three evaluation indexes are integrated to obtain the comprehensive evaluation values of the evaluated power grid loss reduction measures and projects; and determining the comprehensive evaluation level of the implementation effect corresponding to the evaluated power grid loss reduction measures and projects based on the comprehensive evaluation value. Aiming at the problem of comprehensive evaluation of the current power grid loss reduction measures and project implementation effects, the invention can realize quantitative calculation based on loss reduction and electricity saving quantity, investment recovery period and project specific index performance evaluation values, and realize comprehensive evaluation of power grid loss reduction measures and project implementation performance by excellent, good, qualified and unqualified grade division.
Description
Technical Field
The invention relates to a power grid technology, in particular to a comprehensive evaluation method and a comprehensive evaluation system for loss reduction measures and project implementation effects of a power grid.
Background
Under the large background of the double-carbon target, the power grid is connected with power production and consumption, is a central link of energy transformation, needs to comprehensively implement power grid energy-saving management, and effectively reduces power transmission and distribution loss. The power grid loss reduction mainly comprises three aspects of power grid network frame optimization, equipment energy-saving type selection and power grid economic operation, and comprises loss reduction measures and projects, wherein the loss reduction measures comprise reactive voltage optimization, power grid light and heavy load balance, operation mode adjustment and the like, and the loss reduction projects comprise reactive equipment transformation, line load distribution, three-phase unbalance management, high-energy-consumption transformer transformation, power supply distance shortening and the like. Currently, a large number of loss reduction measures and projects are carried out, but no comprehensive assessment method for the targeted loss reduction effect is implemented.
Disclosure of Invention
The technical problems to be solved by the invention are as follows: aiming at the problems of the prior art, the invention provides a comprehensive evaluation method and a comprehensive evaluation system for the loss reduction measures and project implementation effects of a power grid, and aims at the problem of the comprehensive evaluation of the loss reduction measures and project implementation effects of the current power grid.
In order to solve the technical problems, the invention adopts the technical scheme that:
a comprehensive evaluation method for loss reduction measures and project implementation effects of a power grid comprises the following steps:
1) obtaining evaluation values of three evaluation indexes, namely, an evaluated power grid loss reduction measure and a project loss reduction and electricity saving amount, an investment recovery period and a project special index;
2) the evaluation values of the three evaluation indexes are integrated to obtain the comprehensive evaluation values of the evaluated power grid loss reduction measures and projects;
3) and determining the comprehensive evaluation level of the implementation effect corresponding to the evaluated power grid loss reduction measures and projects based on the comprehensive evaluation value.
Optionally, the obtaining of the estimated values of the loss reduction and power saving amount of the estimated power grid loss reduction measures and items in step 1) includes: after eliminating measures and projects with the electricity saving quantity being a negative value, finding out the maximum electricity saving quantity and the minimum electricity saving quantity in the electricity saving quantities of the single loss reduction measures or projects, calculating to obtain the average electricity saving quantity of the electricity saving quantities of all the single loss reduction measures or projects, respectively giving constants to the maximum electricity saving quantity, the average electricity saving quantity and the minimum electricity saving quantity from large to small as evaluation values of the loss reduction electricity saving quantities, calculating the evaluation values of the loss reduction electricity saving quantities by adopting an interpolation method for the electricity saving quantities of the single loss reduction measures or projects between the maximum electricity saving quantity and the minimum electricity saving quantity, and calculating the evaluation values of the loss reduction electricity saving quantities according to the following formula if the electricity saving quantities of the single loss reduction measures or projects are larger than the average electricity saving quantity:
SQi＝SQavg+(SQmax-SQavg)(Qi-Qavg)/(Qmax-Qavg)
in the above formula, SQiEvaluation of the amount of power saved for loss reduction, SQavgEvaluation value of loss reduction power saving amount corresponding to average power saving amount, SQmaxAn evaluation value, Q, for loss-reducing power-saving amount corresponding to the maximum power-saving amountiSaving power for a single loss reduction measure or project, QavgAverage power saving is achieved; if the power saving amount of a single loss reduction measure or item is smaller than the average power saving amount, calculating an evaluation value of the loss reduction power saving amount according to the following formula:
SQi＝SQavg-(SQavg-SQmin)(Qavg-Qi)/(Qavg-Qmin)
in the above formula, SQiEvaluation of the amount of power saved for loss reduction, SQavgEvaluation value of loss reduction power saving amount corresponding to average power saving amount, SQminEvaluation value of loss reduction power saving quantity for minimum power saving quantity, QiSaving power for a single loss reduction measure or project, QavgIs the average power saving amount.
Optionally, when the maximum power saving amount, the average power saving amount, and the minimum power saving amount are respectively given constants as the evaluation values of the loss reduction power saving amounts from large to small, the evaluation value of the loss reduction power saving amount corresponding to the maximum power saving amount is 60 points, the evaluation value of the loss reduction power saving amount corresponding to the average power saving amount is 40 points, and the evaluation value of the loss reduction power saving amount corresponding to the minimum power saving amount is 20 points.
Optionally, the obtaining of the evaluated values of the evaluated power grid loss reduction measures and the investment recovery period of the project in step 1) includes: after eliminating measures and items with negative investment recovery periods, finding out the maximum investment recovery period and the minimum investment recovery period in the investment recovery periods of single loss reduction measures or items, calculating to obtain the average investment recovery period of the investment recovery periods of all the single loss reduction measures or items, respectively endowing constants for the maximum investment recovery period, the average investment recovery period and the minimum investment recovery period from small to large as evaluation values of the investment recovery periods, calculating the evaluation values of the investment recovery periods by adopting an interpolation method for the single loss reduction measures or items between the maximum investment recovery period and the minimum investment recovery period, and calculating the evaluation values of the loss reduction investment recovery periods according to the following formula if the investment recovery period of the single loss reduction measure or item is larger than the average investment recovery period:
SYi＝SYavg(Ymax-Yi)/(Ymax-Yavg)
in the above formula, SYiFor evaluation of the recovery period of investment, SYavgEvaluation value of the payback period corresponding to the average payback period, YmaxFor maximum payback period, YiPayback period for individual loss reduction measures or projects, YavgAverage investment recovery period; if the return on investment period of a single loss reduction measure or project is less than the average return on investment period, then the estimated value of the return on investment period is calculated according to the following formula:
SYi＝SYavg-(SYavg-SYmin)(Yavg-Yi)/(Yavg-Ymin)
in the above formula, SYiFor evaluation of the recovery period of investment, SYavgEvaluation value of the corresponding investment recovery period for the average investment recovery period, SYminEvaluation value of the return on investment corresponding to the minimum return on investment, YminFor minimum payback period, YiPayback period for individual loss reduction measures or projects, YavgIs the average payback period.
Optionally, the project-specific indexes in step 1) respectively include an average load rate of the main network transformer, an average load rate of the distribution transformer, an average load rate of the line, a power factor of the transformer, an unbalance degree of three phases at an outlet of the distribution transformer, and a total harmonic distortion rate of the voltage.
Optionally, the obtaining of the evaluated values of the evaluated power grid loss reduction measures and project specific indexes of the project in step 1) includes: aiming at each project specific index in the average load rate of a main network transformer, the average load rate of a distribution transformer, the average load rate of a line, the power factor of the transformer, the unbalanced degree of three phases at an outlet of the distribution transformer and the total harmonic distortion rate of voltage, if the project specific index meets the specified requirement, a corresponding preset constant score is given to the evaluation value of the project specific index, and if not, the evaluation value of the project specific index is assigned to be 0; finally, the evaluation values of all project specific indexes are summed to obtain the evaluation value S of the project specific indexZ。
Optionally, when determining the comprehensive evaluation value of the implementation effect corresponding to the evaluated power grid loss reduction measure and project in step 3) based on the comprehensive evaluation value, the comprehensive evaluation value of the implementation effect is one of four excellent, good, qualified and unqualified levels, and the ranges of the comprehensive evaluation values of the four excellent, good, qualified and unqualified levels are continuously distributed to form a total interval range of the comprehensive evaluation value.
Alternatively, the total range of the integrated evaluation values is [0,100], where the range [85, 100] is excellent, the range [75, 85) is good, the range [60, 75) is good, and the range [0, 60) is not good.
In addition, the invention also provides a comprehensive evaluation system for the power grid loss reduction measures and project implementation effects, which comprises a microprocessor and a memory which are connected with each other, wherein the microprocessor is programmed or configured to execute the steps of the comprehensive evaluation method for the power grid loss reduction measures and the project implementation effects.
In addition, the invention also provides a computer readable storage medium, wherein a computer program which is programmed or configured to execute the power grid loss reduction measure and project implementation effect comprehensive evaluation method is stored in the computer readable storage medium.
Compared with the prior art, the invention has the following advantages: the comprehensive evaluation method for the loss reduction measures and project implementation effects of the power grid comprises the following steps: obtaining evaluation values of three evaluation indexes, namely, an evaluated power grid loss reduction measure and a project loss reduction and electricity saving amount, an investment recovery period and a project special index; the evaluation values of the three evaluation indexes are integrated to obtain the comprehensive evaluation values of the evaluated power grid loss reduction measures and projects; and determining the comprehensive evaluation level of the implementation effect corresponding to the evaluated power grid loss reduction measures and projects based on the comprehensive evaluation value. Aiming at the problem of comprehensive evaluation of the loss reduction measures and project implementation effects of the current power grid, the method can realize quantitative calculation based on loss reduction and electricity saving quantity, investment recovery period and project specific index performance evaluation values, and realize comprehensive evaluation of the loss reduction measures and project implementation performances of the power grid through excellent, good, qualified and unqualified grade division; the invention can realize the quantitative evaluation of the loss reduction measures and the project implementation effect of the power grid, and provides a technical method for the comprehensive evaluation of the loss reduction measures and the project effect through grade division.
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Fig. 1 is a schematic flow chart of a comprehensive evaluation method according to an embodiment of the present invention.
Fig. 2 is a schematic diagram of evaluation grade division according to an embodiment of the present invention.
Detailed Description
The invention is further described below with reference to the drawings and specific preferred embodiments of the description, without thereby limiting the scope of protection of the invention.
As shown in fig. 1, the method for comprehensively evaluating the loss reduction measures and the project implementation effects of the power grid of the embodiment includes:
1) obtaining evaluation values of three evaluation indexes, namely, an evaluated power grid loss reduction measure and a project loss reduction and electricity saving amount, an investment recovery period and a project special index;
2) the evaluation values of the three evaluation indexes are integrated to obtain the comprehensive evaluation values of the evaluated power grid loss reduction measures and projects;
3) and determining the comprehensive evaluation level of the implementation effect corresponding to the evaluated power grid loss reduction measures and projects based on the comprehensive evaluation value.
In this embodiment, the obtaining of the estimated values of the loss reduction and power saving of the estimated power grid loss reduction measures and items in step 1) includes: after eliminating measures and projects with the electricity saving quantity being a negative value, finding out the maximum electricity saving quantity and the minimum electricity saving quantity in the electricity saving quantities of the single loss reduction measures or projects, calculating the average electricity saving quantity of the electricity saving quantities of all the single loss reduction measures or projects, and assuming that n loss reduction measures or projects exist, calculating the function expression of the average electricity saving quantity as follows:
Qavg＝avg(Q1：Qn)
in the above formula, QavgFor average power saving, avg is the average function, Q1：QnRespectively representing the electricity saving amount of the 1 st to the n th loss reduction measures or projects; respectively endowing constants for the maximum power saving amount, the average power saving amount and the minimum power saving amount from large to small as estimated values of loss reduction power saving amounts, calculating the estimated value of the loss reduction power saving amounts by adopting an interpolation method for the power saving amounts of single loss reduction measures or items between the maximum power saving amount and the minimum power saving amount, and calculating the estimated value of the loss reduction power saving amounts according to the following formula if the power saving amount of the single loss reduction measure or item is larger than the average power saving amount:
SQi＝SQavg+(SQmax-SQavg)(Qi-Qavg)/(Qmax-Qavg)
in the above formula, SQiEvaluation of the amount of power saved for loss reduction, SQavgEvaluation value of loss reduction power saving amount corresponding to average power saving amount, SQmaxFor the maximum electricity savingEstimated value of power saving by reducing loss, QiSaving power for a single loss reduction measure or project, QavgAverage power saving is achieved; if the power saving amount of a single loss reduction measure or item is smaller than the average power saving amount, calculating an evaluation value of the loss reduction power saving amount according to the following formula:
SQi＝SQavg-(SQavg-SQmin)(Qavg-Qi)/(Qavg-Qmin)
in the above formula, SQiEvaluation of the amount of power saved for loss reduction, SQavgEvaluation value of loss reduction power saving amount corresponding to average power saving amount, SQminEvaluation value of loss reduction power saving quantity for minimum power saving quantity, QiSaving power for a single loss reduction measure or project, QavgIs the average power saving amount. As a specific embodiment, when constants are given as the evaluation values of the loss power saving amounts from large to small for the maximum power saving amount, the average power saving amount, and the minimum power saving amount in this embodiment, respectively, the evaluation value of the loss power saving amount corresponding to the maximum power saving amount is 60 points (S) (SQmax60), the average power saving amount corresponds to an evaluation value of loss reduction power saving amount of 40 points (S)Qavg40), the evaluation value of the loss reduction power saving amount corresponding to the minimum power saving amount is 20 points (S)Qmin20). In addition, different constants can be given to the maximum power saving amount, the average power saving amount and the minimum power saving amount from large to small according to actual conditions and needs as the estimated value of the loss reduction power saving amount.
In this embodiment, the obtaining of the evaluated values of the evaluated power grid loss reduction measures and the investment recovery periods of the projects in step 1) includes: after eliminating measures and projects with negative investment recovery periods, finding out the maximum investment recovery period and the minimum investment recovery period in the investment recovery periods of single loss reduction measures or projects, calculating the average investment recovery period of the investment recovery periods of all the single loss reduction measures or projects, and assuming that n loss reduction measures or projects exist, calculating a functional expression of the average investment recovery period as follows:
Yavg＝avg(Y1：Yn)
in the above formula, YavgFor average payback period, Y1：YnRespectively representing the investment recovery periods of 1 st to n th loss reduction measures or projects; respectively assigning constants to the maximum investment recovery period, the average investment recovery period and the minimum investment recovery period from small to large as evaluation values of the investment recovery periods, calculating the evaluation value of the investment recovery period by adopting an interpolation method for a single loss reduction measure or the investment recovery period of a project between the maximum investment recovery period and the minimum investment recovery period, and calculating the evaluation value of the loss reduction investment recovery period according to the following formula if the investment recovery period of the single loss reduction measure or the project is greater than the average investment recovery period:
SYi＝SYavg(Ymax-Yi)/(Ymax-Yavg)
in the above formula, SYiFor evaluation of the recovery period of investment, SYavgEvaluation value of the payback period corresponding to the average payback period, YmaxFor maximum payback period, YiPayback period for individual loss reduction measures or projects, YavgAverage investment recovery period; if the return on investment period of a single loss reduction measure or project is less than the average return on investment period, then the estimated value of the return on investment period is calculated according to the following formula:
SYi＝SYavg-(SYavg-SYmin)(Yavg-Yi)/(Yavg-Ymin)
in the above formula, SYiFor evaluation of the recovery period of investment, SYavgEvaluation value of the corresponding investment recovery period for the average investment recovery period, SYminEvaluation value of the return on investment corresponding to the minimum return on investment, YminFor minimum payback period, YiPayback period for individual loss reduction measures or projects, YavgIs the average payback period. As a specific implementation manner, in this embodiment, after eliminating the items with negative investment recovery periods, an average investment recovery period is calculated, where a minimum investment recovery period is assigned a value of 20, a maximum investment recovery period is assigned a value of 0, and an average investment recovery period is assigned a value of 10. The performance evaluation values of the loss reduction measures in the investment recovery period are all 20 points. Namely: return on investment period performance evaluation of items corresponding to maximum return on investment periodEvaluation S Ymax0, the minimum investment recovery period corresponding to the investment recovery period performance evaluation value SYmin20, averaging the performance assessment values S corresponding to the investment recovery periodYavg＝10。
In this embodiment, the project-specific indexes in step 1) respectively include an average load rate of the main transformer (a specific index of the transformer), an average load rate of the distribution transformer (a specific index of the transformer), an average load rate of the line (a specific index of the line class), a transformer power factor (a specific index of the reactive voltage optimization class), a three-phase unbalance degree of an outlet of the distribution transformer (a specific index of the distribution transformer for three-phase unbalance management class), and a total harmonic distortion rate of the voltage (a specific index of the harmonic management class). Through the indexes, indexes of various aspects of loss reduction measures and projects of the power grid can be covered, and accuracy of implementation effect evaluation is effectively improved.
In this embodiment, the obtaining of the evaluation values of the power grid loss reduction measures to be evaluated and the project specific indexes of the project in step 1) includes: aiming at each project specific index in the average load rate of a main network transformer, the average load rate of a distribution transformer, the average load rate of a line, the power factor of the transformer, the unbalanced degree of three phases at an outlet of the distribution transformer and the total harmonic distortion rate of voltage, if the project specific index meets the specified requirement, a corresponding preset constant score is given to the evaluation value of the project specific index, and if not, the evaluation value of the project specific index is assigned to be 0; finally, the evaluation values of all project specific indexes are summed to obtain the evaluation value S of the project specific indexZ. In this embodiment, for the average load rate of the main network transformer, meeting the specified requirement means meeting the economic operation interval of the average load rate of the main network transformer [ 30%, 70%]For the average load rate of the distribution transformer, meeting the specified requirement means meeting the economic operation interval of the average load rate of the distribution transformer (30 percent and 80 percent)]The average load rate of the transformer is calculated by the sigma-day average load rate/365 x 100 percent; for the average load rate of the line, meeting the specified requirement means meeting the economic operation interval of the average load rate of the line [ 30%, 70%]The method for calculating the annual average load rate of the line is to take the average value of daily average current and the daily average currentCan be taken as the arithmetic mean of the currents at the 24 time points of the circuit over 1 day. For the power factor of the transformer, the specified requirement is met, namely the power factor of the transformer reaches the standard limit value of not less than 0.95 on a peak day; for the three-phase unbalance degree at the outlet of the distribution transformer, meeting the specified requirement means that the standard reaching limit value of the three-phase unbalance degree at the outlet of the distribution transformer is 25%. For the total harmonic distortion rate of the voltage, meeting the specified requirement means that the national standard limit value of the total harmonic distortion rate of the voltage is regulated according to GB/T14549-93 'harmonic wave of electric energy quality public power grid', and as shown in Table 1, the voltage grade of 220kV and above is executed according to 110 kV.
Table 1 utility grid harmonic voltage limit.
In this embodiment, the step 2) includes calculating the loss reduction measures or the project performance comprehensive evaluation values as the loss reduction power saving amount, the investment recovery period, and the project specific index performance evaluation value SQ、SY、SZAnd summing the three terms to obtain the comprehensive evaluation value of the evaluated power grid loss reduction measures and the items.
In this embodiment, when determining the comprehensive evaluation value of the implementation effect corresponding to the evaluated power grid loss reduction measure and project based on the comprehensive evaluation value in step 3), the comprehensive evaluation value of the implementation effect is one of four excellent, good, qualified and unqualified levels, and the ranges of the comprehensive evaluation values of the four excellent, good, qualified and unqualified levels are continuously distributed to form a total interval range of the comprehensive evaluation value. Specifically, as shown in fig. 2, the total range of the comprehensive evaluation value in the present embodiment is [0,100], where the range [85, 100] is excellent, the range [75, 85) is good, the range [60, 75) is good, the range [0, 60) is not good, and for the comprehensive evaluation value, [85, 100] is excellent, [75, 85) is good, [60, 75) is good, and [0, 60) is not good.
In summary, the present embodiment provides a comprehensive evaluation method for power grid loss reduction measures and project implementation effects, including determining loss reduction and power saving amounts, an investment recovery period, and project specific indexes as power grid loss reduction measures and project evaluation indexes; carrying out loss reduction and electricity saving effect evaluation; carrying out effect evaluation in the investment recovery period; calculating loss reduction measures and project special indexes by classification to evaluate result and valuation; and calculating the comprehensive evaluation values of the loss reduction measures and the items. And excellent, good, qualified and unqualified grades are classified according to the values, so that comprehensive evaluation of loss reduction measures and project implementation effects of the power grid is realized.
In addition, the present embodiment further provides a system for comprehensively evaluating the implementation effect of the power grid loss reduction measure and the project, which includes a microprocessor and a memory connected to each other, wherein the microprocessor is programmed or configured to execute the steps of the method for comprehensively evaluating the implementation effect of the power grid loss reduction measure and the project.
In addition, the present embodiment also provides a computer-readable storage medium, in which a computer program programmed or configured to execute the foregoing power grid loss reduction measure and project implementation effect comprehensive evaluation method is stored.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-readable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein. The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks. These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks. These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above description is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above embodiments, and all technical solutions belonging to the idea of the present invention belong to the protection scope of the present invention. It should be noted that modifications and embellishments within the scope of the invention may occur to those skilled in the art without departing from the principle of the invention, and are considered to be within the scope of the invention.
Claims (10)
1. A comprehensive evaluation method for loss reduction measures and project implementation effects of a power grid is characterized by comprising the following steps:
1) obtaining evaluation values of three evaluation indexes, namely, an evaluated power grid loss reduction measure and a project loss reduction and electricity saving amount, an investment recovery period and a project special index;
2) the evaluation values of the three evaluation indexes are integrated to obtain the comprehensive evaluation values of the evaluated power grid loss reduction measures and projects;
3) and determining the comprehensive evaluation level of the implementation effect corresponding to the evaluated power grid loss reduction measures and projects based on the comprehensive evaluation value.
2. The method for comprehensively evaluating the implementation effects of the power grid loss reduction measures and projects according to claim 1, wherein the step 1) of obtaining the estimated values of the loss reduction and power saving of the evaluated power grid loss reduction measures and projects comprises the following steps: after eliminating measures and projects with the electricity saving quantity being a negative value, finding out the maximum electricity saving quantity and the minimum electricity saving quantity in the electricity saving quantities of the single loss reduction measures or projects, calculating to obtain the average electricity saving quantity of the electricity saving quantities of all the single loss reduction measures or projects, respectively giving constants to the maximum electricity saving quantity, the average electricity saving quantity and the minimum electricity saving quantity from large to small as evaluation values of the loss reduction electricity saving quantities, calculating the evaluation values of the loss reduction electricity saving quantities by adopting an interpolation method for the electricity saving quantities of the single loss reduction measures or projects between the maximum electricity saving quantity and the minimum electricity saving quantity, and calculating the evaluation values of the loss reduction electricity saving quantities according to the following formula if the electricity saving quantities of the single loss reduction measures or projects are larger than the average electricity saving quantity:
SQi＝SQavg+(SQmax-SQavg)(Qi-Qavg)/(Qmax-Qavg)
in the above formula, SQiEvaluation of the amount of power saved for loss reduction, SQavgEvaluation value of loss reduction power saving amount corresponding to average power saving amount, SQmaxAn evaluation value, Q, for loss-reducing power-saving amount corresponding to the maximum power-saving amountiSaving power for a single loss reduction measure or project, QavgAverage power saving is achieved; if the power saving amount of a single loss reduction measure or item is smaller than the average power saving amount, calculating an evaluation value of the loss reduction power saving amount according to the following formula:
SQi＝SQavg-(SQavg-SQmin)(Qavg-Qi)/(Qavg-Qmin)
in the above formula, SQiEvaluation of the amount of power saved for loss reduction, SQavgEvaluation value of loss reduction power saving amount corresponding to average power saving amount, SQminEvaluation value of loss reduction power saving quantity for minimum power saving quantity, QiSaving power for a single loss reduction measure or project, QavgIs the average power saving amount.
3. The method according to claim 2, wherein when the maximum power saving amount, the average power saving amount, and the minimum power saving amount are respectively given constants from large to small as the evaluation values of the power saving amounts, the evaluation value of the power saving amount corresponding to the maximum power saving amount is 60 points, the evaluation value of the power saving amount corresponding to the average power saving amount is 40 points, and the evaluation value of the power saving amount corresponding to the minimum power saving amount is 20 points.
4. The method for comprehensively evaluating the implementation effects of the power grid loss reduction measures and projects according to claim 1, wherein the step 1) of obtaining the evaluated values of the investment recovery periods of the evaluated power grid loss reduction measures and projects comprises: after eliminating measures and items with negative investment recovery periods, finding out the maximum investment recovery period and the minimum investment recovery period in the investment recovery periods of single loss reduction measures or items, calculating to obtain the average investment recovery period of the investment recovery periods of all the single loss reduction measures or items, respectively endowing constants for the maximum investment recovery period, the average investment recovery period and the minimum investment recovery period from small to large as evaluation values of the investment recovery periods, calculating the evaluation values of the investment recovery periods by adopting an interpolation method for the single loss reduction measures or items between the maximum investment recovery period and the minimum investment recovery period, and calculating the evaluation values of the loss reduction investment recovery periods according to the following formula if the investment recovery period of the single loss reduction measure or item is larger than the average investment recovery period:
SYi＝SYavg(Ymax-Yi)/(Ymax-Yavg)
in the above formula, SYiFor evaluation of the recovery period of investment, SYavgEvaluation value of the payback period corresponding to the average payback period, YmaxFor maximum payback period, YiPayback period for individual loss reduction measures or projects, YavgAverage investment recovery period; if the return on investment period of a single loss reduction measure or project is less than the average return on investment period, then the estimated value of the return on investment period is calculated according to the following formula:
SYi＝SYavg-(SYavg-SYmin)(Yavg-Yi)/(Yavg-Ymin)
in the above formula, SYiFor evaluation of the recovery period of investment, SYavgEvaluation value of the corresponding investment recovery period for the average investment recovery period, SYminEvaluation value of the return on investment corresponding to the minimum return on investment, YminFor minimum payback period, YiPayback period for individual loss reduction measures or projects, YavgIs the average payback period.
5. The method as claimed in claim 1, wherein the project-specific indicators in step 1) respectively include average load rate of main transformer, average load rate of distribution transformer, average load rate of line, power factor of transformer, three-phase unbalance at outlet of distribution transformer, and total harmonic distortion rate of voltage.
6. The method for comprehensively evaluating the implementation effects of the power grid loss reduction measures and projects according to claim 1, wherein the step 1) of obtaining the evaluation values of the project-specific indexes of the evaluated power grid loss reduction measures and projects comprises the following steps: aiming at each project specific index in the average load rate of a main network transformer, the average load rate of a distribution transformer, the average load rate of a line, the power factor of the transformer, the unbalanced degree of three phases at an outlet of the distribution transformer and the total harmonic distortion rate of voltage, if the project specific index meets the specified requirement, a corresponding preset constant score is given to the evaluation value of the project specific index, and if not, the evaluation value of the project specific index is assigned to be 0; finally, the evaluation values of all project specific indexes are summed to obtain the evaluation value S of the project specific indexZ。
7. The method as claimed in claim 1, wherein when determining the comprehensive evaluation level of the implementation effect corresponding to the evaluated power grid loss reduction measure and project based on the comprehensive evaluation value in step 3), the comprehensive evaluation level of the implementation effect is one of four levels of excellent, good, qualified and unqualified, and the continuous distribution of the comprehensive evaluation value ranges of the four levels of excellent, good, qualified and unqualified forms the total interval range of the comprehensive evaluation value.
8. The method as claimed in claim 7, wherein the total range of the comprehensive evaluation values is [0,100], wherein the range [85, 100] is excellent, the range [75, 85) is good, the range [60, 75) is acceptable, and the range [0, 60) is not acceptable.
9. A comprehensive evaluation system for power grid loss reduction measures and project implementation effects, comprising a microprocessor and a memory which are connected with each other, characterized in that the microprocessor is programmed or configured to execute the steps of the comprehensive evaluation method for power grid loss reduction measures and project implementation effects of any one of claims 1 to 8.
10. A computer-readable storage medium, wherein a computer program is stored in the computer-readable storage medium, the computer program being programmed or configured to execute the method for comprehensively evaluating the effect of the grid loss reduction measure and the project implementation according to any one of claims 1 to 8.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115796711A (en) * | 2023-02-06 | 2023-03-14 | 佰聆数据股份有限公司 | Auxiliary decision-making method and device for loss reduction of distribution line |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103530706A (en) * | 2013-10-23 | 2014-01-22 | 国家电网公司 | Analysis method for comprehensive energy-saving potential of power distribution network |
| US20140330441A1 (en) * | 2013-05-06 | 2014-11-06 | Sas Institute Inc. | Techniques to determine settings for an electrical distribution network |
| CN106570643A (en) * | 2016-11-07 | 2017-04-19 | 国网甘肃省电力公司电力科学研究院 | Loss reduction scheme optimizing method of power distribution network based on set pair analysis |
| JP2018067131A (en) * | 2016-10-19 | 2018-04-26 | 株式会社東芝 | Cost benefit evaluation system for risk reduction measures, cost benefit evaluation method for risk reduction measures, and cost benefit evaluation program for risk reduction measures |
-
2021
- 2021-11-17 CN CN202111364380.3A patent/CN114049022B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140330441A1 (en) * | 2013-05-06 | 2014-11-06 | Sas Institute Inc. | Techniques to determine settings for an electrical distribution network |
| CN103530706A (en) * | 2013-10-23 | 2014-01-22 | 国家电网公司 | Analysis method for comprehensive energy-saving potential of power distribution network |
| JP2018067131A (en) * | 2016-10-19 | 2018-04-26 | 株式会社東芝 | Cost benefit evaluation system for risk reduction measures, cost benefit evaluation method for risk reduction measures, and cost benefit evaluation program for risk reduction measures |
| CN106570643A (en) * | 2016-11-07 | 2017-04-19 | 国网甘肃省电力公司电力科学研究院 | Loss reduction scheme optimizing method of power distribution network based on set pair analysis |
Non-Patent Citations (4)
| Title |
|---|
| 曾思聪;: "农村电网综合降损节能分析及评估系统的设计", 中国电业(技术版), no. 05, 30 May 2013 (2013-05-30) * |
| 王兴攀;李可;马孝义;何贵军;曹志刚;: "宣威市配电网络节能降损方案研究", 电力学报, no. 02, 25 April 2011 (2011-04-25) * |
| 陈征;李长海;徐杰彦;汪汀;刘皓明;王楠;王维洲;: "荷―网―源协调控制后电网降损能效评估指标体系", 电力需求侧管理, no. 03, 20 May 2016 (2016-05-20) * |
| 黄炜;江金群;陈卫钢;陈佳鹏;黄焕斌;: "中低压配电网差异化节能降损对策研究", 电力电容器与无功补偿, no. 05, 25 October 2020 (2020-10-25) * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115796711A (en) * | 2023-02-06 | 2023-03-14 | 佰聆数据股份有限公司 | Auxiliary decision-making method and device for loss reduction of distribution line |
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