CN112862243A - Power distribution network energy-saving loss-reducing system and method based on big data - Google Patents
Power distribution network energy-saving loss-reducing system and method based on big data Download PDFInfo
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Abstract
The invention belongs to the technical field of energy conservation and loss reduction of a power distribution network, and discloses a power distribution network energy conservation and loss reduction system and method based on big data, wherein the power distribution network energy conservation and loss reduction system based on the big data comprises the following components: the power grid power consumption reduction system comprises a power grid voltage detection module, a power grid current detection module, a power grid power detection module, a central control module, a power consumption calculation module, a loss reduction rate calculation module, a power grid energy-saving optimization module, an energy-saving loss reduction evaluation module, a big data processing module and a display module. According to the invention, the workload of related personnel is greatly reduced through the loss reduction rate calculation module; meanwhile, the energy-saving loss-reducing evaluation module considers the correction of the non-parameter characteristics of the line on the safety loss, the hour is taken as a time window, the calculation precision of the period cost and the loss is improved, the line adaptability is evaluated according to the economic and energy-saving two-dimensional standard, and an energy-saving loss-reducing adaptability evaluation basis is provided for the existing line and line planning and type selection.
Description
Technical Field
The invention belongs to the technical field of energy conservation and loss reduction of a power distribution network, and particularly relates to a power distribution network energy conservation and loss reduction system and method based on big data.
Background
The distribution network is an electric power network which receives electric energy from a transmission network or a regional power plant and distributes the electric energy to various users on site through distribution facilities or step by step according to voltage. The power distribution network consists of overhead lines, cables, towers, distribution transformers, isolating switches, reactive power compensators, accessory facilities and the like, and plays a role in distributing electric energy in a power network. The section of the power system that exits from a step-down distribution substation (high-voltage distribution substation) to a customer end is referred to as a distribution system. A power distribution system is an electrical power network system that transforms voltage and distributes power directly to end users, consisting of a variety of distribution equipment (or components) and distribution facilities. The power distribution network consists of overhead lines, towers, cables, distribution transformers, switching equipment, reactive compensation capacitors and other distribution equipment and accessory facilities, and is mainly used for distributing electric energy in the power network. From the viewpoint of the nature of the distribution network, the distribution network equipment also includes distribution devices of the substations. However, the loss reduction rate caused by newly building each transformer substation needs to be calculated manually at present, the power generation and load conditions of one month need to be counted, and the workload is very large; meanwhile, the traditional power energy-saving loss-reduction evaluation method does not take the influence of external objective factors such as weather, zone bits and the like on the power equipment, and as for the power line, most of the power line is directly exposed to the external environment, the traditional method generally ignores the influence of the external influence on the evaluation and calculation of the power equipment, and certain deviation can occur on the line.
In summary, the problems of the prior art are as follows: the existing manual calculation of the loss reduction rate caused by newly building each transformer substation requires statistics of power generation and load conditions in one month, and the workload is very large; meanwhile, the traditional power energy-saving loss-reduction evaluation method does not take the influence of external objective factors such as weather, zone bits and the like on the power equipment, and as for the power line, most of the power line is directly exposed to the external environment, the traditional method generally ignores the influence of the external influence on the evaluation and calculation of the power equipment, and certain deviation can occur on the line.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a power distribution network energy-saving loss-reducing system and method based on big data.
The invention is realized in such a way that a power distribution network energy-saving loss-reducing method based on big data comprises the following steps:
detecting voltage data of a power distribution network by using a voltmeter through a power grid voltage detection module; detecting the current data of the power distribution network by using an ammeter through a power network current detection module;
detecting power data of the power distribution network by using a power meter through a power grid power detection module;
the detecting power data of the power distribution network by using the power meter comprises the following steps: detecting power data of the power distribution network by using a power meter, and processing the obtained power data of the power distribution network;
the processing of the acquired power grid power data comprises:
presetting a Web-Service interface;
receiving a data processing instruction sent by an application system through a Web-Service interface Service to process data in a real-time database;
completing the processing of the data by a data processing method corresponding to each data processing instruction set in advance;
thirdly, controlling each module to normally operate by using a main control computer through a central control module; calculating power consumption data of the power distribution network by using a calculation program through a power consumption calculation module;
calculating loss reduction rate data of the power distribution network by using a loss reduction rate calculation module and a calculation program; the power is supplied by an optimization program distribution network through a power grid energy-saving optimization module to perform energy-saving optimization; the loss reduction rate data of the power distribution network is calculated by the loss reduction rate calculating module through a calculating program, and the method comprises the following steps: determining a newly-built transformer substation; determining a calculation scheme for calculating the loss reduction rate of the newly-built substation; determining an operation scheme of a calculation model and a data model; calculating the network loss rate in the selected time period and storing the calculation result;
evaluating the energy conservation and loss reduction of the power distribution network by utilizing an evaluation program through an energy conservation and loss reduction evaluation module;
utilize the evaluation procedure to estimate the distribution network energy saving and loss reduction through energy saving and loss reduction evaluation module, include:
an evaluation program adopts economic indexes and energy-saving index grading evaluation as a line energy-saving loss-reducing adaptability evaluation means;
adopting a BP neural network to carry out correction calculation on the upper limit of the line capacity, the basic value of the maintenance cost after the line fault, the basic value of the fault probability, the land utilization grade, the basic value of the cable utilization length and the coefficient of the line distance population concentration area;
evaluating the power line energy-saving adaptability by calculating a two-dimensional method from the energy-saving loss-reducing angle;
step six, the big data processing module utilizes a cloud server to centralize big data resources to carry out cloud processing on the power distribution network information; the display module is used for displaying the power grid voltage, current, power consumption, loss reduction rate, energy conservation and loss reduction evaluation results;
utilize the display to show grid voltage, electric current, power, consumption, fall loss rate, energy-conservation to fall and lose the assessment result through the display module, include:
acquiring the collected and calculated power grid voltage, current, power consumption, loss reduction rate and energy conservation and loss reduction evaluation results;
importing the acquired data information into a database, and sending a display request to a display by the database after the information is acquired;
and the display receives the data display request and displays the power grid voltage, current, power consumption, loss reduction rate and energy-saving loss reduction evaluation result information in the database.
Further, the determining the newly-built substation includes:
(1) determining the operation time of the newly-built transformer substation, and selecting a statistical time period;
(2) downloading all data sections of the time period from a database server of the network loss system according to the time period;
(3) and comparing the initial time period serving as a reference with all data sections to judge whether a newly-added line and a newly-added transformer exist or not, and judging whether a newly-added transformer substation exists or not in the time period.
Further, the determining of the calculation scheme for calculating the loss reduction rate of the newly-built substation comprises the following steps:
determining a calculation scheme for calculating the loss reduction rate of the newly-built substation according to the change information of the substation; the calculation scheme comprises the following steps: old data, new model and new data, old model;
the old data and the new model are namely an old operation data model before the transformer substation is put into operation and a new power grid calculation model after the transformer substation is put into operation, a data section of the new model after engineering change is required to be downloaded, and the condition of network loss is calculated; according to the change information of a transformer station in the new power grid model, a transformer and a line of the newly-built transformer station are cut off, the load of the newly-built transformer station is transferred to an adjacent transformer station, the data section is restored to the state before engineering change, the network loss condition is calculated, the difference value of the two is the line loss electric quantity change value of the theoretical calculation area, and the ratio of the line loss electric quantity change value of the theoretical calculation area to the area power supply quantity is the theoretical loss reduction rate of the newly-built transformer station;
the new data and the old model are a new operation data model after the transformer substation is put into operation and an old power grid calculation model before the transformer substation is put into operation, the data section of the old power grid model before engineering change is required to be downloaded, the condition of network loss is calculated, then transformers and lines of a newly-built transformer substation are added according to the change information of the transformer substation in the old power grid model, the load around the newly-built transformer substation is transferred to the newly-built transformer substation according to the load of the newly-built transformer substation in the new data, the condition of network loss is calculated, the difference value of the two is the line loss electric quantity change value of the theoretical calculation area, and the ratio of the line loss electric quantity change value of the theoretical calculation area to the area power supply quantity is the theoretical loss reduction rate of the newly-built.
Further, the operation of determining a computational model and a data model includes:
loading a new power grid or old power grid calculation model to be researched and analyzed to a research state 1; setting an operation scheme of the power grid calculation model, loading historical section operation data to a research state 2, and setting the operation scheme of the section operation data model; the operation scheme comprises operation state setting, resistance or reactance value adjustment of a line, active or reactive power adjustment of a generator and load transfer setting; the running state setting comprises commissioning and quitting of the line; the load transfer protocol from study state 1 and study state 2 was determined.
Further, the method for calculating the network loss rate in the selected time period and storing the calculation result comprises the following steps:
(1) submitting the operation scheme to a server, acquiring the operation schemes of a research state 1 and a research state 2 submitted by a client by the server, setting a calculation time period, and executing the operation scheme in the calculation time period once;
(2) loading the operation data model of the section to a research state 2 according to the section loading data time, generating an E-format measurement mapping file, and acquiring a load value to be transferred in an operation scheme of the research state 2;
(3) mapping the historical data measurement into a power grid calculation model of a research state 1 to be researched, and executing an operation scheme of the research state 1; and calculating the power grid calculation model of the research state 1 to be researched, and storing the calculation result.
Furthermore, in the assessment method adopting the economic index and the energy-saving index grading assessment as the line energy-saving and loss-reducing adaptability assessment means through the assessment program, an assessment model is used for assessment.
Further, the evaluation model is:
wherein, CzFor depreciation of the year, CpFor profit per degree of electricity, CgFor the current year environmental protection expense, CkFor the cost of corona loss of the current year line, ClFor the transmission loss cost of the current year line, CsFor the current line safety cost, f (t) ═ PtIs the active power of the line within a certain hour, etalossRepresenting the proportion of energy-saving and environment-friendly expenditure to the benefit.
Further, the calculated η, ηlossThe adaptability of the power line section is evaluated according to the grading basis diagram of the adaptability of the power line section, and the lower the adaptability grade is, the better the adaptability is represented.
Further, the calculation formula of the annual line transmission loss cost is as follows:
C1＝S1·Cpre；
in the above formula, WlTo lose power, SlThe power consumption is; n is the number of circuit loops; l is the line length, and alpha is the line margin coefficient when considering sag and terrain; ri,XiLine resistance and reactance respectively; f (t) ═ PtActive power of the line within a certain hour; gamma (t) ═ QtThe reactive power of the line within a certain hour; beta is an influence factor converting reactive loss into active loss; m' is the number of split conductors; u is μ (t) ═ UtIs the line voltage in a line for a certain hour, CpreIs a unit price per degree of electricity.
Another object of the present invention is to provide a big data-based power distribution network energy saving and loss reduction system applying the big data-based power distribution network energy saving and loss reduction method, where the big data-based power distribution network energy saving and loss reduction system includes:
the system comprises a power grid voltage detection module, a power grid current detection module, a power grid power detection module, a central control module, a power consumption calculation module, a loss reduction rate calculation module, a power grid energy-saving optimization module, an energy-saving loss reduction evaluation module, a big data processing module and a display module;
the power grid voltage detection module is connected with the central control module and used for detecting the voltage data of the power distribution network through a voltmeter;
the power grid current detection module is connected with the central control module and used for detecting the current data of the power distribution network through the ammeter;
the power grid power detection module is connected with the central control module and used for detecting power data of the power distribution network through a power meter;
the central control module is connected with the power grid voltage detection module, the power grid current detection module, the power grid power detection module, the power consumption calculation module, the loss reduction rate calculation module, the power grid energy-saving optimization module, the energy-saving loss reduction evaluation module, the big data processing module and the display module and is used for controlling each module to work normally;
the power consumption calculation module is connected with the central control module and used for calculating power consumption data of the power distribution network through a calculation program;
the loss reduction rate calculation module is connected with the central control module and used for calculating loss reduction rate data of the power distribution network through a calculation program;
the power grid energy-saving optimization module is connected with the central control module and used for performing energy-saving optimization through an optimization program for power supply of a power distribution network;
the energy-saving loss-reducing evaluation module is connected with the central control module and is used for evaluating the energy-saving loss reduction of the power distribution network through an evaluation program;
the big data processing module is connected with the central control module and is used for carrying out cloud processing on the power distribution network information through the cloud server to centralize big data resources;
and the display module is connected with the central control module and used for displaying the power grid voltage, current, power consumption, loss reduction rate and energy-saving loss reduction evaluation result through the display.
The invention has the advantages and positive effects that: according to the invention, the loss reduction efficiency of the production project can be analyzed and calculated through the loss reduction rate calculation module, so that an auxiliary decision basis is provided for power grid loss management and power grid planning investment; the workload of related personnel is greatly reduced; meanwhile, the energy-saving loss-reducing evaluation module considers the correction of the non-parameter characteristics of the line on the safety loss, the hour is taken as a time window, the calculation precision of the period cost and the loss is improved, the line adaptability is evaluated according to the economic and energy-saving two-dimensional standard, and an energy-saving loss-reducing adaptability evaluation basis is provided for the existing line and line planning and type selection.
Drawings
Fig. 1 is a flowchart of a power distribution network energy saving and loss reduction method based on big data according to an embodiment of the present invention.
Fig. 2 is a flowchart for displaying a power grid voltage, current, power consumption, loss reduction rate, energy saving and loss reduction evaluation result by using a display through a display module according to an embodiment of the present invention.
Fig. 3 is a flowchart for determining a newly-built substation according to an embodiment of the present invention.
Fig. 4 is a flowchart of a method for calculating a network loss rate in a selected time period and storing a calculation result according to an embodiment of the present invention.
Fig. 5 is a structural block diagram of a power distribution network energy saving and loss reduction system based on big data according to an embodiment of the present invention.
In fig. 5: 1. a power grid voltage detection module; 2. a power grid current detection module; 3. a power grid power detection module; 4. a central control module; 5. a power consumption calculation module; 6. a loss reduction rate calculation module; 7. a power grid energy-saving optimization module; 8. an energy-saving loss-reducing evaluation module; 9. a big data processing module; 10. and a display module.
Detailed Description
In order to further understand the contents, features and effects of the present invention, the following embodiments are illustrated and described in detail with reference to the accompanying drawings.
The structure of the present invention will be described in detail below with reference to the accompanying drawings.
As shown in fig. 1, the method for saving energy and reducing loss of a power distribution network based on big data according to the embodiment of the present invention includes the following steps:
s101, detecting voltage data of a power distribution network by a voltage meter through a power grid voltage detection module; detecting the current data of the power distribution network by using an ammeter through a power network current detection module;
s102, detecting power data of the power distribution network by using a power meter through a power grid power detection module; the detecting power data of the power distribution network by using the power meter comprises the following steps: detecting power data of the power distribution network by using a power meter, and processing the obtained power data of the power distribution network;
s103, controlling each module to normally operate by using a main control computer through a central control module; calculating power consumption data of the power distribution network by using a calculation program through a power consumption calculation module;
s104, calculating loss reduction rate data of the power distribution network by using a loss reduction rate calculation module and a calculation program; the power is supplied by an optimization program distribution network through a power grid energy-saving optimization module to perform energy-saving optimization; the loss reduction rate data of the power distribution network is calculated by the loss reduction rate calculating module through a calculating program, and the method comprises the following steps: determining a newly-built transformer substation; determining a calculation scheme for calculating the loss reduction rate of the newly-built substation; determining an operation scheme of a calculation model and a data model; calculating the network loss rate in the selected time period and storing the calculation result;
s105, evaluating the energy conservation and loss reduction of the power distribution network by using an evaluation program through an energy conservation and loss reduction evaluation module;
s106, carrying out cloud processing on the power distribution network information by utilizing the cloud server to centralize big data resources through a big data processing module; and the display module is used for displaying the power grid voltage, current, power consumption, loss reduction rate, energy conservation and loss reduction evaluation results.
The processing of the acquired power grid power data provided by the embodiment of the invention comprises the following steps:
presetting a Web-Service interface; receiving a data processing instruction sent by an application system through a Web-Service interface Service to process data in a real-time database; the processing of the data is completed by setting a data processing method corresponding to each data processing instruction in advance.
The method for evaluating the energy conservation and loss reduction of the power distribution network by utilizing the evaluation program through the energy conservation and loss reduction evaluation module comprises the following steps:
an evaluation program adopts economic indexes and energy-saving index grading evaluation as a line energy-saving loss-reducing adaptability evaluation means;
adopting a BP neural network to carry out correction calculation on the upper limit of the line capacity, the basic value of the maintenance cost after the line fault, the basic value of the fault probability, the land utilization grade, the basic value of the cable utilization length and the coefficient of the line distance population concentration area;
evaluating the power line energy-saving adaptability by calculating a two-dimensional method from the energy-saving loss-reducing angle;
as shown in fig. 2, the method for displaying the grid voltage, current, power consumption, loss reduction rate, energy saving and loss reduction evaluation result by using the display through the display module according to the embodiment of the present invention includes:
s201, acquiring and calculating the power grid voltage, current, power consumption, loss reduction rate and energy conservation and loss reduction evaluation results;
s202, importing the acquired data information into a database, and sending a display request to a display by the database after the information is acquired;
and S203, the display receives the data display request and displays the power grid voltage, current, power consumption, loss reduction rate and energy-saving loss reduction evaluation result information in the database.
As shown in fig. 3, the determining of the newly-built substation provided in the embodiment of the present invention includes:
s301, determining the commissioning time of the newly-built transformer substation, and selecting a statistical time period;
s302, downloading all data sections of the time period from a database server of the network loss system according to the time period;
and S303, comparing the initial time period serving as a reference with all data sections, judging whether a newly-added line and a newly-added transformer exist or not, and judging whether a newly-added transformer substation exists or not in the time period.
The calculation scheme for determining and calculating the loss reduction rate of the newly-built substation provided by the embodiment of the invention comprises the following steps:
determining a calculation scheme for calculating the loss reduction rate of the newly-built substation according to the change information of the substation; the calculation scheme comprises the following steps: old data, new model and new data, old model;
the old data and the new model are namely an old operation data model before the transformer substation is put into operation and a new power grid calculation model after the transformer substation is put into operation, a data section of the new model after engineering change is required to be downloaded, and the condition of network loss is calculated; according to the change information of a transformer station in the new power grid model, a transformer and a line of the newly-built transformer station are cut off, the load of the newly-built transformer station is transferred to an adjacent transformer station, the data section is restored to the state before engineering change, the network loss condition is calculated, the difference value of the two is the line loss electric quantity change value of the theoretical calculation area, and the ratio of the line loss electric quantity change value of the theoretical calculation area to the area power supply quantity is the theoretical loss reduction rate of the newly-built transformer station;
the new data and the old model are a new operation data model after the transformer substation is put into operation and an old power grid calculation model before the transformer substation is put into operation, the data section of the old power grid model before engineering change is required to be downloaded, the condition of network loss is calculated, then transformers and lines of a newly-built transformer substation are added according to the change information of the transformer substation in the old power grid model, the load around the newly-built transformer substation is transferred to the newly-built transformer substation according to the load of the newly-built transformer substation in the new data, the condition of network loss is calculated, the difference value of the two is the line loss electric quantity change value of the theoretical calculation area, and the ratio of the line loss electric quantity change value of the theoretical calculation area to the area power supply quantity is the theoretical loss reduction rate of the newly-built.
The operation of determining a calculation model and a data model provided by the embodiment of the invention comprises the following steps:
loading a new power grid or old power grid calculation model to be researched and analyzed to a research state 1; setting an operation scheme of the power grid calculation model, loading historical section operation data to a research state 2, and setting the operation scheme of the section operation data model; the operation scheme comprises operation state setting, resistance or reactance value adjustment of a line, active or reactive power adjustment of a generator and load transfer setting; the running state setting comprises commissioning and quitting of the line; the load transfer protocol from study state 1 and study state 2 was determined.
As shown in fig. 4, the method for calculating the network loss rate in the selected time period and storing the calculation result according to the embodiment of the present invention includes:
s401, submitting the operation scheme to a server, acquiring the operation schemes of a research state 1 and a research state 2 submitted by a client by the server, setting a calculation time period, and executing the operation scheme in the calculation time period once;
s402, loading the operation data model of the section to a research state 2 according to the section loading data time, generating an E-format measurement mapping file, and acquiring a load value to be transferred in an operation scheme of the research state 2;
s403, mapping the historical data measurement to a power grid calculation model of a research state 1 to be researched, and executing an operation scheme of the research state 1; and calculating the power grid calculation model of the research state 1 to be researched, and storing the calculation result.
According to the embodiment of the invention, the evaluation program adopts the economic index and the energy-saving index graded evaluation as the line energy-saving loss-reducing adaptability evaluation means, and the evaluation model is used for evaluation.
The evaluation model provided by the embodiment of the invention is as follows:
wherein, CzFor depreciation of the year, CpFor profit per degree of electricity, CgFor the current year environmental protection expense, CkFor the cost of corona loss of the current year line, ClFor the transmission loss cost of the current year line, CsFor the current line safety cost, f (t) ═ PtIs the active power of the line within a certain hour, etalossRepresenting the proportion of energy-saving and environment-friendly expenditure to the benefit.
Eta, eta obtained by calculation provided by the embodiment of the inventionlossThe adaptability of the power line section is evaluated according to the grading basis diagram of the adaptability of the power line section, and the lower the adaptability grade is, the better the adaptability is represented.
The calculation formula of the annual line transmission loss cost provided by the embodiment of the invention is as follows:
C1＝S1·Cpre；
in the above formula, WlTo lose power, SlThe power consumption is; n is the number of circuit loops; l is the line length, and alpha is the line margin coefficient when considering sag and terrain; ri,XiLine resistance and reactance respectively; f (t) ═ PtActive power of the line within a certain hour; gamma (t) ═ QtThe reactive power of the line within a certain hour; beta is an influence factor converting reactive loss into active loss; m' is the number of split conductors; u is μ (t) ═ UtIs the line voltage in a line for a certain hour, CpreIs a unit price per degree of electricity.
As shown in fig. 5, the power distribution network energy saving and loss reduction system based on big data provided in the embodiment of the present invention includes:
the system comprises a power grid voltage detection module 1, a power grid current detection module 2, a power grid power detection module 3, a central control module 4, a power consumption calculation module 5, a loss reduction rate calculation module 6, a power grid energy-saving optimization module 7, an energy-saving loss reduction evaluation module 8, a big data processing module 9 and a display module 10;
the power grid voltage detection module 1 is connected with the central control module 4 and used for detecting voltage data of the power distribution network through a voltmeter;
the power grid current detection module 2 is connected with the central control module 4 and used for detecting the current data of the power distribution network through an ammeter;
the power grid power detection module 3 is connected with the central control module 4 and used for detecting power data of the power distribution network through a power meter;
the central control module 4 is connected with the power grid voltage detection module 1, the power grid current detection module 2, the power grid power detection module 3, the power consumption calculation module 5, the loss reduction rate calculation module 6, the power grid energy-saving optimization module 7, the energy-saving loss reduction evaluation module 8, the big data processing module 9 and the display module 10 and is used for controlling the modules to normally work;
the power consumption calculation module 5 is connected with the central control module 4 and used for calculating power consumption data of the power distribution network through a calculation program;
the loss reduction rate calculation module 6 is connected with the central control module 4 and used for calculating loss reduction rate data of the power distribution network through a calculation program;
the power grid energy-saving optimization module 7 is connected with the central control module 4 and used for performing energy-saving optimization through an optimization program for power supply of a power distribution network;
the energy-saving loss-reducing evaluation module 8 is connected with the central control module 4 and is used for evaluating the energy-saving loss reduction of the power distribution network through an evaluation program;
the big data processing module 9 is connected with the central control module 4 and is used for carrying out cloud processing on the power distribution network information through the cloud server centralized big data resources;
and the display module 10 is connected with the central control module 4 and is used for displaying the evaluation results of the voltage, the current, the power consumption, the loss reduction rate and the energy conservation and loss reduction of the power grid through a display.
The above description is only for the preferred embodiment of the present invention, and is not intended to limit the present invention in any way, and all simple modifications, equivalent changes and modifications made to the above embodiment according to the technical spirit of the present invention are within the scope of the technical solution of the present invention.
Claims (10)
1. The method for saving energy and reducing loss of the power distribution network based on the big data is characterized by comprising the following steps of:
detecting voltage data of a power distribution network by using a voltmeter through a power grid voltage detection module; detecting the current data of the power distribution network by using an ammeter through a power network current detection module;
detecting power data of the power distribution network by using a power meter through a power grid power detection module;
the detecting power data of the power distribution network by using the power meter comprises the following steps: detecting power data of the power distribution network by using a power meter, and processing the obtained power data of the power distribution network;
the processing of the acquired power grid power data comprises:
presetting a Web-Service interface;
receiving a data processing instruction sent by an application system through a Web-Service interface Service to process data in a real-time database;
completing the processing of the data by a data processing method corresponding to each data processing instruction set in advance;
thirdly, controlling each module to normally operate by using a main control computer through a central control module; calculating power consumption data of the power distribution network by using a calculation program through a power consumption calculation module;
calculating loss reduction rate data of the power distribution network by using a loss reduction rate calculation module and a calculation program; the power is supplied by an optimization program distribution network through a power grid energy-saving optimization module to perform energy-saving optimization; the loss reduction rate data of the power distribution network is calculated by the loss reduction rate calculating module through a calculating program, and the method comprises the following steps: determining a newly-built transformer substation; determining a calculation scheme for calculating the loss reduction rate of the newly-built substation; determining an operation scheme of a calculation model and a data model; calculating the network loss rate in the selected time period and storing the calculation result;
evaluating the energy conservation and loss reduction of the power distribution network by utilizing an evaluation program through an energy conservation and loss reduction evaluation module;
utilize the evaluation procedure to estimate the distribution network energy saving and loss reduction through energy saving and loss reduction evaluation module, include:
an evaluation program adopts economic indexes and energy-saving index grading evaluation as a line energy-saving loss-reducing adaptability evaluation means;
adopting a BP neural network to carry out correction calculation on the upper limit of the line capacity, the basic value of the maintenance cost after the line fault, the basic value of the fault probability, the land utilization grade, the basic value of the cable utilization length and the coefficient of the line distance population concentration area;
evaluating the power line energy-saving adaptability by calculating a two-dimensional method from the energy-saving loss-reducing angle;
step six, the big data processing module utilizes a cloud server to centralize big data resources to carry out cloud processing on the power distribution network information; the display module is used for displaying the power grid voltage, current, power consumption, loss reduction rate, energy conservation and loss reduction evaluation results;
utilize the display to show grid voltage, electric current, power, consumption, fall loss rate, energy-conservation to fall and lose the assessment result through the display module, include:
acquiring the collected and calculated power grid voltage, current, power consumption, loss reduction rate and energy conservation and loss reduction evaluation results;
importing the acquired data information into a database, and sending a display request to a display by the database after the information is acquired;
and the display receives the data display request and displays the power grid voltage, current, power consumption, loss reduction rate and energy-saving loss reduction evaluation result information in the database.
2. The big data-based power distribution network energy saving and loss reduction method according to claim 1, wherein the determining of the newly-built substation comprises:
(1) determining the operation time of the newly-built transformer substation, and selecting a statistical time period;
(2) downloading all data sections of the time period from a database server of the network loss system according to the time period;
(3) and comparing the initial time period serving as a reference with all data sections to judge whether a newly-added line and a newly-added transformer exist or not, and judging whether a newly-added transformer substation exists or not in the time period.
3. The big data-based power distribution network energy conservation and loss reduction method according to claim 1, wherein the determining of the calculation scheme for calculating the loss reduction rate of the newly-built substation comprises:
determining a calculation scheme for calculating the loss reduction rate of the newly-built substation according to the change information of the substation; the calculation scheme comprises the following steps: old data, new model and new data, old model;
the old data and the new model are namely an old operation data model before the transformer substation is put into operation and a new power grid calculation model after the transformer substation is put into operation, a data section of the new model after engineering change is required to be downloaded, and the condition of network loss is calculated; according to the change information of a transformer station in the new power grid model, a transformer and a line of the newly-built transformer station are cut off, the load of the newly-built transformer station is transferred to an adjacent transformer station, the data section is restored to the state before engineering change, the network loss condition is calculated, the difference value of the two is the line loss electric quantity change value of the theoretical calculation area, and the ratio of the line loss electric quantity change value of the theoretical calculation area to the area power supply quantity is the theoretical loss reduction rate of the newly-built transformer station;
the new data and the old model are a new operation data model after the transformer substation is put into operation and an old power grid calculation model before the transformer substation is put into operation, the data section of the old power grid model before engineering change is required to be downloaded, the condition of network loss is calculated, then transformers and lines of a newly-built transformer substation are added according to the change information of the transformer substation in the old power grid model, the load around the newly-built transformer substation is transferred to the newly-built transformer substation according to the load of the newly-built transformer substation in the new data, the condition of network loss is calculated, the difference value of the two is the line loss electric quantity change value of the theoretical calculation area, and the ratio of the line loss electric quantity change value of the theoretical calculation area to the area power supply quantity is the theoretical loss reduction rate of the newly-built.
4. The big data based power distribution network energy saving and loss reduction method according to claim 1, wherein the operation of determining the calculation model and the data model comprises:
loading a new power grid or old power grid calculation model to be researched and analyzed to a research state 1; setting an operation scheme of the power grid calculation model, loading historical section operation data to a research state 2, and setting the operation scheme of the section operation data model; the operation scheme comprises operation state setting, resistance or reactance value adjustment of a line, active or reactive power adjustment of a generator and load transfer setting; the running state setting comprises commissioning and quitting of the line; the load transfer protocol from study state 1 and study state 2 was determined.
5. The big-data-based power distribution network energy-saving loss-reducing system according to claim 1, wherein the method for calculating the network loss rate in the selected time period and storing the calculation result comprises:
(1) submitting the operation scheme to a server, acquiring the operation schemes of a research state 1 and a research state 2 submitted by a client by the server, setting a calculation time period, and executing the operation scheme in the calculation time period once;
(2) loading the operation data model of the section to a research state 2 according to the section loading data time, generating an E-format measurement mapping file, and acquiring a load value to be transferred in an operation scheme of the research state 2;
(3) mapping the historical data measurement into a power grid calculation model of a research state 1 to be researched, and executing an operation scheme of the research state 1; and calculating the power grid calculation model of the research state 1 to be researched, and storing the calculation result.
6. The big-data-based power distribution network energy conservation and loss reduction system as claimed in claim 1, wherein the evaluation model is used for evaluation in the evaluation procedure by adopting the economic indicators and the energy conservation indicators for grading evaluation as the line energy conservation and loss reduction adaptability evaluation means.
7. The big-data-based power distribution network energy conservation and loss reduction system according to claim 6, wherein the evaluation model is as follows:
wherein, CzFor depreciation of the year, CpFor profit per degree of electricity, CgFor the current year environmental protection expense, CkFor the cost of corona loss of the current year line, ClFor the transmission loss cost of the current year line, CsFor the current line safety cost, f (t) ═ PtIs the active power of the line within a certain hour, etalossRepresenting the proportion of energy-saving and environment-friendly expenditure to the benefit.
8. The big data based power distribution network energy conservation and loss reduction system according to claim 7, wherein the calculated η, ηlossThe adaptability of the power line section is evaluated according to the grading basis diagram of the adaptability of the power line section, and the lower the adaptability grade is, the better the adaptability is represented.
9. The big-data-based power distribution network energy-saving loss-reducing system according to claim 7, wherein the annual line transmission loss cost is calculated by the following formula:
C1＝S1·Cpre；
in the above formula, WlTo lose power, SlThe power consumption is; n is the number of circuit loops; l is the line length, and alpha is the line margin coefficient when considering sag and terrain; ri,XiLine resistance and reactance respectively; f (t) ═ PtActive power of the line within a certain hour; gamma (t) ═ QtThe reactive power of the line within a certain hour; beta is an influence factor converting reactive loss into active loss; m' isThe number of split conductors; u is μ (t) ═ UtIs the line voltage in a line for a certain hour, CpreIs a unit price per degree of electricity.
10. The big data-based power distribution network energy saving and loss reducing system applying the big data-based power distribution network energy saving and loss reducing method according to claims 1-9, wherein the big data-based power distribution network energy saving and loss reducing system comprises:
the system comprises a power grid voltage detection module, a power grid current detection module, a power grid power detection module, a central control module, a power consumption calculation module, a loss reduction rate calculation module, a power grid energy-saving optimization module, an energy-saving loss reduction evaluation module, a big data processing module and a display module;
the power grid voltage detection module is connected with the central control module and used for detecting the voltage data of the power distribution network through a voltmeter;
the power grid current detection module is connected with the central control module and used for detecting the current data of the power distribution network through the ammeter;
the power grid power detection module is connected with the central control module and used for detecting power data of the power distribution network through a power meter;
the central control module is connected with the power grid voltage detection module, the power grid current detection module, the power grid power detection module, the power consumption calculation module, the loss reduction rate calculation module, the power grid energy-saving optimization module, the energy-saving loss reduction evaluation module, the big data processing module and the display module and is used for controlling each module to work normally;
the power consumption calculation module is connected with the central control module and used for calculating power consumption data of the power distribution network through a calculation program;
the loss reduction rate calculation module is connected with the central control module and used for calculating loss reduction rate data of the power distribution network through a calculation program;
the power grid energy-saving optimization module is connected with the central control module and used for performing energy-saving optimization through an optimization program for power supply of a power distribution network;
the energy-saving loss-reducing evaluation module is connected with the central control module and is used for evaluating the energy-saving loss reduction of the power distribution network through an evaluation program;
the big data processing module is connected with the central control module and is used for carrying out cloud processing on the power distribution network information through the cloud server to centralize big data resources;
and the display module is connected with the central control module and used for displaying the power grid voltage, current, power consumption, loss reduction rate and energy-saving loss reduction evaluation result through the display.
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