CN116467886B - Energy efficiency evaluation method for transformer substation in alpine region - Google Patents
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Abstract
The invention discloses an energy efficiency evaluation method for a transformer substation in a alpine region, belongs to the technical field of intelligent power grids, and aims to solve the problems that in the prior art, energy efficiency evaluation is not carried out on the transformer substation in the alpine region, and modeling calculation is needed to be carried out again after new equipment is selected each time. It comprises the following steps: extracting historical data of all transformer substations in a region to be evaluated, and dividing according to data types; carrying out data preprocessing on the historical data of the same category to obtain reference data; establishing an energy efficiency evaluation model of the region to be evaluated according to the reference data; selecting equipment of a transformer substation to be evaluated, and acquiring equipment parameters; and inputting the equipment parameters into an energy efficiency evaluation model, and outputting an energy efficiency evaluation result of the transformer substation to be evaluated. The method is used for evaluating and analyzing the energy efficiency of the transformer substation.
Description
Technical Field
The invention relates to an energy efficiency evaluation method for a transformer substation, and belongs to the technical field of intelligent power grids.
Background
The power grid bears the dual identity of city infrastructure construction and energy supply, so the energy conservation is particularly important, and the energy conservation of the transformer substation is taken as a main part of the power grid and directly influences the energy conservation condition of the power grid. The transformer substation can generate a large amount of energy consumption in the process of transmitting electric energy, so that energy efficiency evaluation of the transformer substation is a basis for improving energy efficiency of the electric power system.
In the prior art, energy efficiency evaluation is mainly focused on the demonstration of the necessity of configuring higher energy efficiency power transformation equipment, and for energy efficiency analysis evaluation, an energy saving evaluation model is generally established through an entropy weight method. But has the following problems:
1. the method comprises the steps of adopting an analytic hierarchy process and an entropy method to calculate the weight of each single index of an index system, and combining the state values of the single indexes to obtain a comprehensive energy efficiency score, wherein the method needs to input parameters of equipment, model the parameters, and perform a new modeling process after selecting new equipment each time, and the calculation process is complex;
2. energy efficiency evaluation is only carried out on substations in the conventional region, and energy efficiency evaluation is not carried out on the alpine region. However, the outdoor combined electrical equipment running in the alpine region is easy to generate liquefaction problem below-30 ℃, so that alarm or locking is caused, and the outdoor arrangement in winter is also likely to generate problems such as icing and the like, which is not beneficial to later running and maintenance. And under the outdoor arrangement condition, the equipment body needs to be heated, and the main bus and the branch bus also need to be heated, so that the heating load is very large. In the prior art, a technical scheme for evaluating the energy efficiency of the high-cold region by combining the regional environment is not provided.
Therefore, how to evaluate the energy efficiency of the transformer substation in the alpine region in combination with the actual situation of the alpine region and how to solve the problem that the modeling process needs to be carried out again after new equipment is selected each time and the calculation process is complex are urgent to solve.
Disclosure of Invention
The invention aims to solve the problems that in the prior art, energy efficiency evaluation is not carried out on a transformer substation in a alpine region, and modeling calculation is needed to be carried out again after new equipment is selected each time, and provides an energy efficiency evaluation method for the transformer substation in the alpine region.
The invention discloses an energy efficiency evaluation method for transformer substations in alpine regions, which comprises the following steps:
s1, extracting historical data of all transformer substations in an area to be evaluated, and dividing the historical data according to data types;
s2, carrying out data preprocessing on the historical data of the same category to obtain reference data;
s3, establishing an energy efficiency evaluation model of the region to be evaluated according to the reference data;
s4, selecting equipment of the transformer substation to be evaluated, and acquiring equipment parameters;
s5, inputting the equipment parameters into the energy efficiency evaluation model constructed in the S3, and outputting an energy efficiency evaluation result of the transformer substation to be evaluated.
Preferably, the historical data of S1 includes: component loss data, component electricity consumption data, production system electricity consumption data, heating and ventilation system electricity consumption data, lighting system electricity consumption data, water supply and drainage system electricity consumption data, domestic water data and fire water data.
Preferably, the specific method for dividing the historical data according to the data category in S1 includes:
s1-1, selecting set parameters according to different data categories;
s1-2, loading set parameters to corresponding sets;
s1-3, comparing the category parameters of each piece of historical data with the set parameters one by one, and dividing the historical data with the category parameters matched with the set parameters into corresponding categories.
Preferably, the specific method for performing data preprocessing on the historical data in the same category in S2 includes:
s2-1, performing standardized conversion on historical data;
s2-2, judging the number of the data in the same category, judging whether the number of the data exceeds a preset value, screening the data if the number of the data exceeds the preset value, and then repeatedly executing S2-2, otherwise executing S2-3;
s2-3, finishing the data preprocessing process.
Preferably, S2-2 judges whether the number of data exceeds a preset value, and the preset value is selected according to different categories of historical data.
Preferably, the specific method for screening data in S2-2 comprises the following steps:
s2-2-1, calculating the length of each piece of data;
s2-2-2, arranging the data according to the sequence from short length to long length;
s2-2-3, screening out the data with the data length smaller than half of the maximum data length.
Preferably, the specific method for establishing the energy efficiency evaluation model of the region to be evaluated according to the reference data in S3 includes:
wherein P is 1 Representing component loss evaluation index, P 2 Represents the electricity consumption evaluation index, P 3 Represents a water loss evaluation index;
L R the resistive loss is represented, alpha represents a resistive loss conversion coefficient, P represents a hysteresis loss per unit volume, and lambda represents a hysteresis loss conversion coefficient per unit volume;
q represents the daily output electric energy of the transformer substation, T c Mean daily power consumption of the component power consumption data, T m Represents daily average power consumption of production system, T h Represents daily average power consumption of heating and ventilation system, T l Indicating the daily average power consumption of the lighting system, T d The daily average power consumption of the water supply and drainage system is represented;
W a represents domestic water data, W f Fire water data is represented.
Preferably, the method for obtaining the component loss evaluation index comprises the following steps:
dividing the loss data of the components into a plurality of units, wherein the units are connected through nodes;
and respectively calculating loss data of each unit:
wherein L is Ri The resistive loss of the ith unit is represented by P, the hysteresis loss of the unit volume of the ith unit is represented by J, the current density is represented by sigma, the conductivity is represented by V, the unit volume is represented by V, f represents the frequency, B represents the magnetic induction intensity, and k and B both represent intermediate parameters;
the resistive losses of all the cells are aggregated to obtain:
where n represents the total number of units.
Preferably, when the substation is an unattended substation, W a ＝0。
The invention has the advantages that: by extracting historical data of all substations in a local area, an energy efficiency evaluation model based on the data of the substations in the local area is established, and the problem that in the prior art, energy efficiency evaluation is only carried out on substations in a conventional area, and energy efficiency evaluation is not carried out on a alpine area is solved. The transformer substation environment in a certain area is similar, the data is accurate, and an accurate energy efficiency evaluation model can be obtained.
Based on the establishment of the energy efficiency evaluation model, the energy efficiency evaluation is carried out on the transformer substations to be evaluated, the energy efficiency evaluation of all the transformer substations in the region can be realized by only constructing the model once, the operation is convenient and fast, and the efficiency is high.
Drawings
Fig. 1 is a schematic block diagram of an energy efficiency evaluation method of a transformer substation in a alpine region.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It should be noted that, without conflict, the embodiments of the present invention and features of the embodiments may be combined with each other.
The invention is further described below with reference to the drawings and specific examples, which are not intended to be limiting.
Example 1:
the following describes, with reference to fig. 1, an energy efficiency evaluation method for a substation in a alpine region according to the present embodiment, including:
s1, extracting historical data of all transformer substations in an area to be evaluated, and dividing the historical data according to data types;
s2, carrying out data preprocessing on the historical data of the same category to obtain reference data;
s3, establishing an energy efficiency evaluation model of the region to be evaluated according to the reference data;
s4, selecting equipment of the transformer substation to be evaluated, and acquiring equipment parameters;
s5, inputting the equipment parameters into the energy efficiency evaluation model constructed in the S3, and outputting an energy efficiency evaluation result of the transformer substation to be evaluated.
In the embodiment, by extracting historical data of all substations in a local area, an energy efficiency evaluation model based on the local area substation data is established, and the problem that in the prior art, energy efficiency evaluation is only carried out on substations in a conventional area, and energy efficiency evaluation is not carried out on a alpine area is solved. The transformer substation environment in a certain area is similar, the data is accurate, and an accurate energy efficiency evaluation model can be obtained. Based on the establishment of the energy efficiency evaluation model, the energy efficiency evaluation is carried out on the transformer substations to be evaluated, the energy efficiency evaluation of all the transformer substations in the region can be realized by only constructing the model once, the operation is convenient and fast, and the efficiency is high.
Further, the historical data of S1 includes: component loss data, component electricity consumption data, production system electricity consumption data, heating and ventilation system electricity consumption data, lighting system electricity consumption data, water supply and drainage system electricity consumption data, domestic water data and fire water data.
In this embodiment, the energy efficiency evaluation of the transformer substation mainly includes two aspects of electric energy and water resources, and for the electric energy, including loss of components and power consumption of the transformer substation, the power consumption of the transformer substation generally includes component power consumption data, production system power consumption data, heating and ventilation system power consumption data, lighting system power consumption data and water supply and drainage system power consumption data. The energy consumption of water resource is mainly for domestic water and fire water, if the transformer substation is unmanned transformer substation, domestic water loss is zero.
Still further, the specific method for dividing the historical data according to the data category in S1 includes:
s1-1, selecting set parameters according to different data categories;
s1-2, loading set parameters to corresponding sets;
s1-3, comparing the category parameters of each piece of historical data with the set parameters one by one, and dividing the historical data with the category parameters matched with the set parameters into corresponding categories.
Still further, the specific method for performing data preprocessing on the historical data of the same category in S2 includes:
s2-1, performing standardized conversion on historical data;
s2-2, judging the number of the data in the same category, judging whether the number of the data exceeds a preset value, screening the data if the number of the data exceeds the preset value, and then repeatedly executing S2-2, otherwise executing S2-3;
s2-3, finishing the data preprocessing process.
Still further, S2-2 judges whether the number of data pieces exceeds a preset value, and the preset value is selected according to different categories of historical data.
Still further, the specific method for screening data in S2-2 includes:
s2-2-1, calculating the length of each piece of data;
s2-2-2, arranging the data according to the sequence from short length to long length;
s2-2-3, screening out the data with the data length smaller than half of the maximum data length.
In this embodiment, because of the variability of different substations and the mutual independence of the working states, the formats of the same type of data of each substation are not uniform, and great inconvenience is brought to the subsequent modeling, so that the data needs to be standardized and converted first. In the case of a relatively large amount of raw data, the difficulty of the subsequent aggregation processing is increased, and therefore, it is necessary to screen out part of the data.
In this embodiment, it is determined whether the number of data pieces exceeds a preset value, and the preset value may be freely selected according to the data type.
Still further, the specific method for establishing the energy efficiency evaluation model of the region to be evaluated according to the reference data in S3 includes:
wherein P is 1 Representing component loss evaluation index, P 2 Represents the electricity consumption evaluation index, P 3 Represents a water loss evaluation index;
L R the resistive loss is represented, alpha represents a resistive loss conversion coefficient, P represents a hysteresis loss per unit volume, and lambda represents a hysteresis loss conversion coefficient per unit volume;
q represents the daily output electric energy of the transformer substation, T c Mean daily power consumption of the component power consumption data, T m Represents daily average power consumption of production system, T h Represents daily average power consumption of heating and ventilation system, T l Indicating the daily average power consumption of the lighting system, T d The daily average power consumption of the water supply and drainage system is represented;
W a represents domestic water data, W f Fire water data is represented.
Still further, the method for obtaining the component loss evaluation index includes:
dividing the loss data of the components into a plurality of units, wherein the units are connected through nodes;
and respectively calculating loss data of each unit:
wherein L is Ri The resistive loss of the ith unit is represented by P, the hysteresis loss of the unit volume of the ith unit is represented by J, the current density is represented by sigma, the conductivity is represented by V, the unit volume is represented by V, f represents the frequency, B represents the magnetic induction intensity, and k and B both represent intermediate parameters;
the resistive losses of all the cells are aggregated to obtain:
where n represents the total number of units.
Still further, when the substation is an unattended substation, W a ＝0。
Although the invention herein has been described with reference to particular embodiments, it is to be understood that these embodiments are merely illustrative of the principles and applications of the present invention. It is therefore to be understood that numerous modifications may be made to the illustrative embodiments and that other arrangements may be devised without departing from the spirit and scope of the present invention as defined by the appended claims. It should be understood that the different dependent claims and the features described herein may be combined in ways other than as described in the original claims. It is also to be understood that features described in connection with separate embodiments may be used in other described embodiments.
Claims (8)
1. The energy efficiency evaluation method for the transformer substation in the alpine region is characterized by comprising the following steps of:
s1, extracting historical data of all transformer substations in an area to be evaluated, and dividing the historical data according to data types;
s2, carrying out data preprocessing on the historical data of the same category to obtain reference data;
s3, establishing an energy efficiency evaluation model of the region to be evaluated according to the reference data;
s4, selecting equipment of the transformer substation to be evaluated, and acquiring equipment parameters;
s5, inputting the equipment parameters into the energy efficiency evaluation model constructed in the S3, and outputting an energy efficiency evaluation result of the transformer substation to be evaluated;
the specific method for dividing the historical data according to the data category in the S1 comprises the following steps:
s1-1, selecting set parameters according to different data categories;
s1-2, loading set parameters to corresponding sets;
s1-3, comparing the category parameters of each piece of historical data with the set parameters one by one, and dividing the historical data with the category parameters matched with the set parameters into corresponding categories.
2. The energy efficiency evaluation method of a transformer substation in a alpine region according to claim 1, wherein S1 the historical data comprises: component loss data, component electricity consumption data, production system electricity consumption data, heating and ventilation system electricity consumption data, lighting system electricity consumption data, water supply and drainage system electricity consumption data, domestic water data and fire water data.
3. The energy efficiency evaluation method of the transformer substation in the alpine region according to claim 1, wherein the specific method for performing data preprocessing on the historical data in the same category in S2 comprises:
s2-1, performing standardized conversion on historical data;
s2-2, judging the number of the data in the same category, judging whether the number of the data exceeds a preset value, screening the data if the number of the data exceeds the preset value, and then repeatedly executing S2-2, otherwise executing S2-3;
s2-3, finishing the data preprocessing process.
4. The energy efficiency evaluation method of a transformer substation in a alpine region according to claim 3, wherein S2-2 judges whether the number of data exceeds a preset value, and the preset value is selected according to different categories of historical data.
5. The energy efficiency evaluation method of a transformer substation in a alpine region according to claim 3 or 4, wherein the specific method for screening data in S2-2 comprises:
s2-2-1, calculating the length of each piece of data;
s2-2-2, arranging the data according to the sequence from short length to long length;
s2-2-3, screening out the data with the data length smaller than half of the maximum data length.
6. The energy efficiency evaluation method of the transformer substation in the alpine region according to claim 2, wherein the specific method for establishing the energy efficiency evaluation model of the region to be evaluated according to the reference data in S3 comprises the following steps:
wherein P is 1 Representing component loss evaluation index, P 2 Represents the electricity consumption evaluation index, P 3 Represents a water loss evaluation index;
L R the resistive loss is represented, alpha represents a resistive loss conversion coefficient, P represents a hysteresis loss per unit volume, and lambda represents a hysteresis loss conversion coefficient per unit volume;
q represents the daily output electric energy of the transformer substation, T c Mean daily power consumption of the component power consumption data, T m Represents daily average power consumption of production system, T h Indicating the day of heating and ventilation systemAverage power consumption, T l Indicating the daily average power consumption of the lighting system, T d The daily average power consumption of the water supply and drainage system is represented;
W a represents domestic water data, W f Fire water data is represented.
7. The energy efficiency evaluation method of the transformer substation in the alpine region according to claim 6, wherein the method for obtaining the component loss evaluation index comprises the following steps:
dividing the loss data of the components into a plurality of units, wherein the units are connected through nodes;
and respectively calculating loss data of each unit:
wherein L is Ri Representing the resistive loss of the ith cell, P i The hysteresis loss of the unit volume of the ith unit is represented by J, the current density is represented by sigma, the conductivity is represented by V, the unit volume is represented by f, the magnetic induction intensity is represented by B, and k and B represent intermediate parameters;
the resistive losses of all the cells are aggregated to obtain:
where n represents the total number of units.
8. The method for evaluating energy efficiency of transformer substation in alpine region according to claim 6, wherein when the transformer substation is an unattended transformer substation, W a ＝0。
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| CN102184465A (en) * | 2011-04-19 | 2011-09-14 | 中国电力科学研究院 | Substation energy efficiency evaluating method |
| CN111311135A (en) * | 2020-05-11 | 2020-06-19 | 广东电网有限责任公司佛山供电局 | Transformer substation energy efficiency assessment method |
| CN114913032A (en) * | 2022-03-29 | 2022-08-16 | 湖州电力设计院有限公司 | Transformer substation operation energy consumption assessment method |
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| CN102184465A (en) * | 2011-04-19 | 2011-09-14 | 中国电力科学研究院 | Substation energy efficiency evaluating method |
| CN111311135A (en) * | 2020-05-11 | 2020-06-19 | 广东电网有限责任公司佛山供电局 | Transformer substation energy efficiency assessment method |
| CN114913032A (en) * | 2022-03-29 | 2022-08-16 | 湖州电力设计院有限公司 | Transformer substation operation energy consumption assessment method |
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| 变电站能效评估指标体系及建模方法;罗志坤;刘潇潇;陈星莺;丁孝华;余昆;万全;何军民;李光;;电力自动化设备(第03期);138-144 * |
| 高寒地区110kV变电站能耗计算;胡浩;;电子世界(第07期);120-122 * |
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