CN106127386B - Power supply capacity balance and coordination evaluation method based on data standardization - Google Patents
Power supply capacity balance and coordination evaluation method based on data standardization Download PDFInfo
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Abstract
The invention relates to a power supply capacity balance and coordination evaluation method based on data standardization, which comprises the following steps: 1) calculating the power supply capacity margin balance degree of the same-layer similar equipment; 2) calculating the power supply capacity margin balance degree of the same-layer similar equipment in the total area; 3) calculating power supply capacity margin co-scheduling among equipment of each level; 4) calculating the power supply capacity margin of the same-layer similar equipment and the harmony of the same-layer similar equipment in the development stage; 5) and evaluating balance degree and coordination degree of power supply capacity margin of the power distribution network and analyzing weak links. According to the technical scheme provided by the invention, weak links can be positioned by further analyzing the regions, equipment levels or equipment with overlarge or undersize power supply capacity margins influencing the balance degree and the coordination degree, and the improvement target and corresponding measures are put forward with emphasis in planning construction and transformation schemes.
Description
Technical Field
The invention relates to the fields of planning operation and evaluation of a power distribution network and the like, in particular to a power supply capacity balance and coordination evaluation method based on data standardization.
Background
The power supply capacity of the power distribution network takes the annual maximum load of each device as an analysis object, and the analysis of the capacity and the reserved margin of the maximum load which can be borne by the power distribution device is emphasized on the premise of ensuring the safe operation of the power distribution network. The power supply capacity of the power distribution network assigns the capacity of bearing load of the power grid on the premise of ensuring safe operation. The power distribution network power supply capacity margin reflects the ratio of the loads which can be accessed by the equipment to the total accessible loads.
The power distribution network is composed of multiple layers of equipment such as a high-voltage line, a transformer substation, a medium-voltage line, a distribution transformer and the like, and is a dense and inseparable whole. On one hand, the utilization degree of the power supply capacity among the similar devices of the power distribution network is balanced as much as possible, the power supply capacity margin among the devices is not suitable to be too large, otherwise, the utilization of the power supply capacity of the devices of the whole level is limited. On the other hand, the devices of different levels are coordinated and matched during the operation of the power distribution network, if the power supply capacity margins of the devices of different levels are too different, the power supply capacity margins of the devices of different levels can affect each other or cause elbow stopping, and the improvement and utilization of the overall power supply capacity of the power distribution network are limited. Meanwhile, whether the power supply capacity margins of the equipment at each level of the power distribution network are coordinated or not can reflect the equipment scale and the rationality of equipment type selection to a certain extent. In addition, in different stages of power grid development, different requirements and expected values are required for the power supply capacity margin of the power distribution network, and if the power supply capacity margin of the power distribution network in a certain stage is lower or higher than the expected value, it indicates that power grid assets cannot be fully utilized or is unfavorable for future development of the power grid, so that the coordination of the power supply capacity margin of the power grid and the power grid development stage needs to be evaluated. The method for evaluating the coordination of the power supply capacity margin of the power distribution network objectively improves the operation benefit of the power distribution system on the whole by optimizing resource allocation, and is an important subject faced by planning, operating and managing the power distribution network at present.
Generally, one quantifies the degree of dispersion reflecting a set of data by the standard deviation or a coefficient of standard deviation, the smaller the standard deviation or the coefficient of standard deviation, the smaller the degree of dispersion. The index representing the discrete degree can reflect the balance and the harmony of the power supply capacity margin to a certain degree. Since the power supply capability margin of the device may have a negative value, the average value of the power supply capability margin of the device may have a zero value or a negative value, and the standard deviation coefficient of the power supply capability margin of the device may be infinite or a negative value. According to the habit of people, the user wants the index value of the balance or coordination degree to be a positive value, and the higher the index value is, the higher the balance or coordination degree is represented.
Disclosure of Invention
Aiming at the defects in the prior art, the invention improves the existing indexes representing the discrete degree, designs new evaluation indexes and provides a data standardization evaluation method based on an evaluation object, namely, the invention aims to provide a power supply capacity balance and coordination evaluation method based on data standardization.
The purpose of the invention is realized by adopting the following technical scheme:
the invention provides a power supply capacity balance and coordination evaluation method based on data normalization, which is improved in that the method comprises the following steps:
1) calculating the power supply capacity margin balance degree of the same-layer similar equipment;
2) calculating the power supply capacity margin balance degree of the same-layer similar equipment in the total area;
3) calculating power supply capacity margin co-scheduling among equipment of each level;
4) calculating the power supply capacity margin of the same-layer similar equipment and the harmony of the same-layer similar equipment in the development stage;
5) and evaluating balance degree and coordination degree of power supply capacity margin of the power distribution network and analyzing weak links.
Further, in step 1), before calculating the power supply capacity margin balance of the same device on the same layer, the power supply capacity margin index of each device is subjected to data normalization processing, and the calculation formula is as follows:
in the formula:
i-class i devices;
ai-theoretical minimum value of power supply capability margin for class i devices;
bi-theoretical maximum value of power supply capability margin for class i devices;
j-jth class i device;
SCMij-power supply capability margin for jth class i device;
SCM′ij-power supply capability margin of jth class i device after data normalization processing;
aiand biMaximum coefficient of power available from various kinds of equipmentMaximum load factorDetermination of whereinbi=1;Andrelated to the equipment type and the grid structure;
evaluation index for power supply capacity margin balance degree of same-layer similar equipmentThe calculation formula is as follows:
in the formula:
Mi-total number of devices of type i;
-the average value of the power supply capacity margin of the class i device after the data normalization processing,
according to a calculation formula, the evaluation index of the power supply capacity margin balance degree of the same-layer and same-type equipment is in a value range of [0,1], and the index value is larger, so that the balance degree is higher.
Further, in the step 2), when the range ratio is formed for a plurality of sample regionsWhen the balance analysis of the same-layer and same-class equipment is carried out in a larger total area, the balance of the same-layer and same-class equipment in each sample area is usedAnd weighting and summing to obtain the power supply capacity margin balance degree of the same-layer equipment in the same layer in the total area, wherein the calculation formula is as follows:
in the formula:
n is the number of sample regions within the total area;
k-kth sample region;
ωi_kthe asset value of the i-type equipment in the kth sample area accounts for the weight of the total asset value of the i-type equipment in all the sample areas;
the power supply capacity margin balance degree of the i-type same-layer similar equipment in the kth sample area is calculated;
according to a calculation formula, the value range of the balance degree evaluation index of the power supply capacity margin of the same equipment in the same layer of the total area is [0,1], and the higher the index value is, the higher the balance degree is.
Further, in step 3), before the power supply capacity margin co-scheduling between the devices in each tier is calculated, the power supply capacity margin indicator of the devices in each tier is subjected to data normalization processing, and a calculation formula is as follows:
in the formula:
GSCM′i-power supply capability margin of class i devices after data normalization processing;
GSCMi-a power supply capability margin for class i devices;
n-total number of classes of device;
the minimum value of the theoretical minimum value of the power supply capacity margin of the N-type equipment;
the maximum value of the theoretical maximum value of the margin of the power supply capacity of the N-type equipment;
ai-theoretical minimum value of power supply capability margin for class i devices;
bi-theoretical maximum value of power supply capability margin for class i devices;
providing a power supply capacity co-scheduling evaluation index C among equipment of each level for reflecting the degree of coordination among equipment of each level of the power distribution network in the aspect of power supply capacity marginGSCMThe calculation formula is as follows:
in the formula:
-the average value of the margin of the power supply capacity of the N-type equipment after the data normalization processing,
according to a calculation formula, the value range of the power supply capacity co-scheduling evaluation index among equipment in each level is [0,1], and the index value is larger, which indicates that the coordination degree is higher.
Further, theIn step 4), evaluation indexes of power supply capacity margin and development stage coordination of same-layer equipment of the same typeThe calculation formula is as follows:
in the formula:
GSCMi-a power supply capability margin for class i devices;
GSCMiD-ideal value of the power supply capacity margin of the i-th class of devices in the corresponding development stage,wherein, λ is the annual average load growth rate of the power grid in the corresponding development stage, and m is the load growth period to be met in the corresponding development stage of the power grid;
according to a calculation formula, the value range of the power supply capacity margin of the same equipment on the same layer and the coordination evaluation index value in the development stage is [0,1], and the higher the index value is, the higher the coordination degree is.
Further, the step 5) comprises the following steps:
analyzing the construction scale and the rationality of model selection of each layer of equipment according to the calculation result of the evaluation index of the power supply capacity margin harmony of each layer of equipment, and finding out the equipment level with the excessively large or excessively small power supply capacity margin and the reason of the equipment level;
analyzing and evaluating the adaptation degree of the regional distribution network and the development stage according to the power supply capacity margin of the same-layer similar equipment and the calculation result of the harmony evaluation index of the development stage, and analyzing the reason that the power supply capacity margin excessively leads or lags the development stage;
analyzing the balance degree of the power supply capacity margin among the same-layer similar equipment in the total area according to the calculation result of the balance degree evaluation index of the power supply capacity margin of the same-layer similar equipment in the total area, finding out an area with weaker balance, and analyzing reasons;
analyzing the balance degree of the power supply capacity margins among the same-layer similar equipment according to the calculation result of the balance degree evaluation index of the power supply capacity margins of the same-layer similar equipment, and finding the equipment with the excessively large or excessively small power supply capacity margins and reasons thereof;
and fifthly, according to the analysis results of the steps, aiming at existing weak links influencing the coordination and balance of the power supply capacity margin in the power grid, providing improvement targets and measures in planning construction and transformation schemes.
Compared with the closest prior art, the technical scheme provided by the invention has the following excellent effects:
(1) the method provided by the invention not only can reflect the balance level of the power supply capacity margin of the same-layer similar equipment of the power distribution network in a single sample area, but also can evaluate the balance degree of the power supply capacity margin of the same-layer similar equipment of the power distribution network in a total area consisting of a plurality of sample areas.
(2) The coordination evaluation model of the power supply capacity margin and the development stage provided by the invention can reflect the coordination between the power supply capacity margin of each stage of equipment and the power supply capacity margin expectation of the corresponding development stage, and can evaluate the reasonable degree of the power supply capacity margin on the whole.
(3) The thought and the method for firstly carrying out normalized processing on the power supply capacity margin of the equipment and the power supply capacity margin of the same-layer equipment can map the range of the power supply capacity margin to [0,1] so as to limit the index value of the balance or the coordination to [0,1], and the larger the index value is, the higher the balance or the coordination is.
(4) The evaluation model for the power supply capacity margin harmony of the equipment in each level provided by the invention can reflect the scale of the equipment in each level of the power distribution network and the rationality of equipment type selection, and provides effective guidance suggestions for planning construction and operation mode arrangement of the power distribution network.
Drawings
Fig. 1 is a flowchart of a method for evaluating the power distribution network power supply capacity balance and coordination according to the present invention.
Detailed Description
The following describes embodiments of the present invention in further detail with reference to the accompanying drawings.
The following description and the drawings sufficiently illustrate specific embodiments of the invention to enable those skilled in the art to practice them. Other embodiments may incorporate structural, logical, electrical, process, and other changes. The examples merely typify possible variations. Individual components and functions are optional unless explicitly required, and the sequence of operations may vary. Portions and features of some embodiments may be included in or substituted for those of others. The scope of embodiments of the invention encompasses the full ambit of the claims, as well as all available equivalents of the claims. Embodiments of the invention may be referred to herein, individually or collectively, by the term "invention" merely for convenience and without intending to voluntarily limit the scope of this application to any single invention or inventive concept if more than one is in fact disclosed.
The invention provides a power distribution network power supply capacity balance and coordination evaluation method based on data normalization, which aims to reflect the balance degree of power supply capacity margins among similar devices on the same layer of a power distribution network, the coordination degree of the power supply capacity margins among devices on each layer of the power distribution network and the reasonable degree of resource allocation, and the coordination degree of the power distribution network power supply capacity margins and the power distribution network development stage. And by further analyzing the areas, equipment levels or equipment with overlarge or undersize power supply capacity margins influencing the balance degree and the coordination degree, weak links can be positioned, and the improvement target and corresponding measures are provided with emphasis in planning construction and modification schemes.
The flow chart of the method for evaluating the power supply capacity balance and coordination of the power distribution network provided by the invention is shown in figure 1, and comprises the following steps:
(1) same-layer similar equipment power supply capability margin balance degree evaluation
Because the value of the power supply capacity margin of the equipment may have a negative value, before the power supply capacity margin balance degree of the same equipment on the same layer is calculated, the power supply capacity margin index of each equipment needs to be subjected to normalized processing, and the specific method comprises the following steps:
in the formula:
i-class i devices;
ai-theoretical minimum value of power supply capability margin for class i devices;
bi-theoretical maximum value of power supply capability margin for class i devices;
j-jth class i device;
SCMij-power supply capability margin for jth class i device;
SCM′ijafter the data normalization processing, the power supply capacity margin of the jth i-type equipment.
aiAnd biMaximum coefficient of power available from various kinds of equipmentMaximum load factorDetermination of whereinbi=1。Anddepending on the type of equipment and the grid configuration.
Evaluation index for power supply capacity margin balance degree of same-layer similar equipmentThe calculation method is as follows:
in the formula:
Mi-total number of devices of type i;
-the average value of the power supply capacity margin of the class i device after the data normalization processing,
the calculation formula shows that the value range of the index is [0,1], and the index value is larger, which indicates that the balance degree is higher.
(2) Power supply capacity margin balance evaluation of same-layer equipment in total area
When the balance analysis of the same-layer same-class equipment is carried out on a total area with a large range formed by a plurality of sample areas, the balance of the same-layer same-class equipment of each sample area is usedAnd weighting and summing to obtain the balance degree of the total area, wherein the calculation method comprises the following steps:
in the formula:
n is the number of sample regions within the total area;
k-kth sample region;
ωi_kthe asset value of the i-type equipment in the kth sample area accounts for the weight of the total asset value of the i-type equipment in all the sample areas;
the power supply capacity margin balance degree of the i-type same-layer similar equipment in the kth sample area.
The calculation formula shows that the value range of the index is [0,1], and the index value is larger, which indicates that the balance degree is higher.
(3) Power supply capability margin coordination degree evaluation among equipment of each level
Before the power supply capacity margin co-scheduling among the equipment of each level is calculated, the power supply capacity margin indexes of the equipment of each level need to be subjected to normalized processing, and the specific method is as follows:
in the formula:
GSCM′i-power supply capability margin of class i devices after data normalization processing;
GSCMi-a power supply capability margin for class i devices;
n-total number of classes of device;
the minimum value of the theoretical minimum value of the power supply capacity margin of the N-type equipment;
In order to reflect the coordination degree of the equipment in each level of the power distribution network in the aspect of power supply capacity margin, a coordination degree evaluation index C of the power supply capacity margin of each layer of equipment is providedGSCMThe calculation method is as follows:
in the formula:
-the average value of the margin of the power supply capacity of the N-type equipment after the data normalization processing,
the calculation formula shows that the value range of the index is [0,1], and the index value is larger, which indicates that the coordination degree is higher.
(4) Coordination degree evaluation of same-layer similar equipment power supply capacity margin and development stage
In different development stages of a power grid, the load increase level required to be met and the redundancy of equipment required to be reserved are different, so that the requirements for power supply capacity margins are different, and in order to reflect the coordination between the power supply capacity margin of equipment at a certain voltage level and the development stage of the power grid, the coordination evaluation index of the power supply capacity margin of the same equipment at the same layer and the development stage is providedThe calculation method is as follows:
in the formula:
GSCMi-a power supply capability margin for class i devices;
GSCMiD-ideal value of the power supply capacity margin of the i-th class of devices in the corresponding development stage,wherein lambda is the annual average load of the power grid in the corresponding development stageAnd the growth rate m is the load growth period to be met in the corresponding development stage of the power grid.
The calculation formula shows that the value range of the index value is [0,1], and the index value is larger, which indicates that the coordination degree is higher.
(5) Power distribution network power supply capacity margin co-scheduling and balance degree evaluation and weak link analysis
Analyzing the construction scale and the rationality of model selection of each layer of equipment according to the calculation result of the evaluation index of the power supply capacity margin harmony of each layer of equipment, and finding out the equipment level with the excessively large or excessively small power supply capacity margin and the related reasons thereof.
Secondly, according to the calculation results of the power supply capacity margin of the same-layer similar equipment and the coordination evaluation index of the development stage, the adaptation degree of the distribution network in the evaluation area and the development stage is analyzed, and the relevant reasons that the power supply capacity margin excessively leads or lags behind the development stage are analyzed.
And thirdly, analyzing the balance degree of the power supply capacity margin among the same-layer similar equipment in the total area according to the calculation result of the power supply capacity margin evaluation index of the same-layer similar equipment in the total area, finding out an area with weaker balance and analyzing reasons.
And fourthly, analyzing the balance degree of the power supply capacity margins among the same-layer similar equipment according to the calculation result of the balance degree evaluation index of the power supply capacity margins of the same-layer similar equipment, and finding the equipment with the excessively large or excessively small power supply capacity margins and related reasons thereof.
And fifthly, according to the analysis results of the steps, aiming at existing weak links influencing the coordination and balance of the power supply capacity margin in the power grid, an improvement target and corresponding measures can be provided with emphasis in planning construction and transformation schemes.
Examples
The specific embodiment and steps of the invention are as follows:
(1) calculating the power supply capacity margin balance degree of the same-layer similar equipment:
calculating power supply capacity margin SCM of each equipmentijAnd according to the formula (1), the power supply capacity margin of each device is enabled to be subjected to linear transformation through normalizationValue mapping to [0,1]Obtaining a power supply capacity margin SCM 'of each device after data normalization processing'ij;
The maximum power supply coefficient of four types of equipment involved in normalized processingMaximum load factorTheoretical minimum value a of power supply capacity marginiAnd the theoretical maximum value b of the power supply capacity marginiThe following parameters were chosen.
TABLE 1 four classes of Equipment normalization Process related parameter selection
② according to the formulaRespectively calculating the average value of the power supply capacity margins of the high-voltage line, the main transformer, the medium-voltage line and the distribution transformer equipment
Thirdly, calculating the power supply capacity margin balance degree of each level of equipment of the high-voltage line, the main transformer, the medium-voltage line and the distribution transformer according to the formula (2)
(2) Calculating the power supply capacity margin balance degree of the same-layer similar equipment in the total area:
calculating the power supply capacity margin balance degree of each level of equipment of a high-voltage line, a main transformer, a medium-voltage line and a distribution transformer in each sample areaCan be obtained by calculation in the step (1);
secondly, calculating the weight omega of the asset value of each type of equipment in each sample area accounting for the total asset value of the type of equipment in all sample areasi_k;
And thirdly, calculating the power supply capacity margin balance degree of each level of equipment of the high-voltage line, the main transformer, the medium-voltage line and the distribution transformer in the total area according to the formula (3).
(3) Calculating power supply capacity margin co-scheduling among equipment of each level:
calculating power supply capacity margin GSCM of high-voltage line, main transformer, medium-voltage line and distribution transformer equipment at each leveliAnd performing linear transformation on the power supply capacity allowance value of each level of equipment through normalization according to formula (4) to map the power supply capacity allowance value of each level of equipment to [0,1]Obtaining the power supply capacity margin GSCM of each level device after data normalization processing'i;
② according to the formulaCalculating the average value of the power supply capacity margins of four types of equipment, namely a high-voltage line, a main transformer, a medium-voltage line and a distribution transformer;
and thirdly, calculating power supply capacity margin co-scheduling among equipment of each level according to the formula (5).
(4) Calculating the power supply capacity margin of the same-layer similar equipment and the harmony of the same-layer similar equipment in the development stage:
calculating power supply capacity margin GSCM of high-voltage line, main transformer, medium-voltage line and distribution transformer equipment at each leveli;
Secondly, setting the annual average load growth rate lambda and the load growth period m to be met of the power grid in the corresponding development stage according to a formulaCalculating ideal values of power supply capacity margins of each level of equipment of the high-voltage line, the main transformer, the medium-voltage line and the distribution transformer in corresponding development stages;
and thirdly, calculating the power supply capacity margin of each level of equipment and the co-scheduling of the development stage according to the formula (6).
(5) Power distribution network power supply capacity margin co-scheduling, balance degree evaluation and weak link analysis:
analyzing the construction scale and the rationality of model selection of each layer of equipment according to the calculation result of the evaluation index of the power supply capacity margin harmony of each layer of equipment, and finding out the equipment level with the excessively large or excessively small power supply capacity margin and the related reasons thereof.
Secondly, according to the calculation results of the power supply capacity margin of the same-layer similar equipment and the coordination evaluation index of the development stage, the adaptation degree of the distribution network in the evaluation area and the development stage is analyzed, and the relevant reasons that the power supply capacity margin excessively leads or lags behind the development stage are analyzed.
And thirdly, analyzing the balance degree of the power supply capacity margin among the same-layer similar equipment in the total area according to the calculation result of the power supply capacity margin evaluation index of the same-layer similar equipment in the total area, finding out an area with weaker balance and analyzing reasons.
And fourthly, analyzing the balance degree of the power supply capacity margins among the same-layer similar equipment according to the calculation result of the balance degree evaluation index of the power supply capacity margins of the same-layer similar equipment, and finding the equipment with the excessively large or excessively small power supply capacity margins and related reasons thereof.
And fifthly, according to the analysis results of the steps, aiming at existing weak links influencing the coordination and balance of the power supply capacity margin in the power grid, an improvement target and corresponding measures can be provided with emphasis in planning construction and transformation schemes.
Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art can make modifications and equivalents to the embodiments of the present invention without departing from the spirit and scope of the present invention, which is set forth in the claims of the present application.
Claims (5)
1. A power supply capacity balance and coordination evaluation method based on data normalization is characterized by comprising the following steps:
1) calculating the power supply capacity margin balance degree of the same-layer similar equipment;
2) calculating the power supply capacity margin balance degree of the same-layer similar equipment in the total area;
3) calculating power supply capacity margin co-scheduling among equipment of each level;
4) calculating the power supply capacity margin of the same-layer similar equipment and the harmony of the same-layer similar equipment in the development stage;
5) evaluating balance degree and coordination degree of power supply capacity margin of the power distribution network and analyzing weak links;
in the step 1), before calculating the power supply capacity margin balance degree of the same equipment on the same layer, performing data normalization processing on the power supply capacity margin index of each equipment, wherein the calculation formula is as follows:
in the formula:
i-class i devices;
ai-theoretical minimum value of power supply capability margin for class i devices;
bi-theoretical maximum value of power supply capability margin for class i devices;
j-jth class i device;
SCMij-power supply capability margin for jth class i device;
SCM′ij-power supply capability margin of jth class i device after data normalization processing;
aiand biMaximum coefficient of power available from various kinds of equipmentMaximum load factorDetermination of whereinbi=1;Andrelated to the equipment type and the grid structure; evaluation index for power supply capacity margin balance degree of same-layer similar equipmentThe calculation formula is as follows:
in the formula:
Mi-total number of devices of type i;
-the average value of the power supply capacity margin of the class i device after the data normalization processing,
according to a calculation formula, the evaluation index of the power supply capacity margin balance degree of the same-layer and same-type equipment is in a value range of [0,1], and the index value is larger, so that the balance degree is higher.
2. The method for evaluating the balance and the coordination according to claim 1, wherein in the step 2), when the total area with a large range of the plurality of sample areas is subjected to the balance division of the same-layer similar equipment, the total area is composed of a plurality of sample areasDuring analysis, the balance degree of the same-layer similar equipment in each sample area is usedAnd weighting and summing to obtain the power supply capacity margin balance degree of the same-layer equipment in the same layer in the total area, wherein the calculation formula is as follows:
in the formula:
n is the number of sample regions within the total area;
k-kth sample region;
ωi_kthe asset value of the i-type equipment in the kth sample area accounts for the weight of the total asset value of the i-type equipment in all the sample areas;
the power supply capacity margin balance degree of the i-type same-layer similar equipment in the kth sample area is calculated;
according to a calculation formula, the value range of the balance degree evaluation index of the power supply capacity margin of the same equipment in the same layer of the total area is [0,1], and the higher the index value is, the higher the balance degree is.
3. The method for evaluating the balance and the coordination according to claim 1, wherein in the step 3), before the power supply capability margin co-scheduling among the devices in each layer is calculated, the power supply capability margin indicator of each layer is subjected to data normalization processing, and a calculation formula is as follows:
in the formula:
i-class i devices;
GSCM′i-power supply capability margin of class i devices after data normalization processing;
GSCMi-a power supply capability margin for class i devices;
n-total number of classes of device;
the minimum value of the theoretical minimum value of the power supply capacity margin of the N-type equipment;
the maximum value of the theoretical maximum value of the margin of the power supply capacity of the N-type equipment;
ai-theoretical minimum value of power supply capability margin for class i devices;
bi-theoretical maximum value of power supply capability margin for class i devices;
providing a power supply capacity co-scheduling evaluation index C among equipment of each level for reflecting the degree of coordination among equipment of each level of the power distribution network in the aspect of power supply capacity marginGSCMThe calculation formula is as follows:
in the formula:
-the average value of the margin of the power supply capacity of the N-type equipment after the data normalization processing,
according to a calculation formula, the value range of the power supply capacity co-scheduling evaluation index among equipment in each level is [0,1], and the index value is larger, which indicates that the coordination degree is higher.
4. The method for evaluating the balance and the coordination according to claim 1, wherein in the step 4), the power supply capacity margin of the same-layer similar equipment on the same layer and the coordination evaluation index of the development stage are used as the indexesThe calculation formula is as follows:
in the formula:
GSCMi-a power supply capability margin for class i devices;
GSCMiD-ideal value of the power supply capacity margin of the i-th class of devices in the corresponding development stage,
wherein, λ is the annual average load growth rate of the power grid in the corresponding development stage, and m is the load growth period to be met in the corresponding development stage of the power grid;
according to a calculation formula, the value range of the power supply capacity margin of the same equipment on the same layer and the coordination evaluation index value in the development stage is [0,1], and the higher the index value is, the higher the coordination degree is.
5. The balance and coordination evaluation method according to claim 1, wherein said step 5) comprises the steps of:
analyzing the construction scale and the rationality of model selection of each layer of equipment according to the calculation result of the evaluation index of the power supply capacity margin harmony of each layer of equipment, and finding out the equipment level with the excessively large or excessively small power supply capacity margin and the reason of the equipment level;
analyzing and evaluating the adaptation degree of the regional distribution network and the development stage according to the power supply capacity margin of the same-layer similar equipment and the calculation result of the harmony evaluation index of the development stage, and analyzing the reason that the power supply capacity margin excessively leads or lags the development stage;
analyzing the balance degree of the power supply capacity margin among the same-layer similar equipment in the total area according to the calculation result of the balance degree evaluation index of the power supply capacity margin of the same-layer similar equipment in the total area, finding out an area with weaker balance, and analyzing reasons;
analyzing the balance degree of the power supply capacity margins among the same-layer similar equipment according to the calculation result of the balance degree evaluation index of the power supply capacity margins of the same-layer similar equipment, and finding the equipment with the excessively large or excessively small power supply capacity margins and reasons thereof;
and fifthly, according to the analysis results of the steps, aiming at existing weak links influencing the coordination and balance of the power supply capacity margin in the power grid, providing improvement targets and measures in planning construction and transformation schemes.
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