CN109919406A - The intelligent housekeeping arrangement method of the power distribution network method of operation - Google Patents
The intelligent housekeeping arrangement method of the power distribution network method of operation Download PDFInfo
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Abstract
The present invention relates to a kind of intelligent housekeeping arrangement methods of power distribution network method of operation, solve the deficiencies in the prior art, technical solution are as follows: S1, Database step: foundation includes the basic database of mechanical floor, graph layer and program computation layer；Logic calculation step: S2 imports maintenance solution, according to database data, using power failure equipments as start node, various constraint conditions are added in sequential search associate device, and the calculating of tentative programme is completed by artificial intelligence mode；S3, realistically displayed step: carrying out realistically displayed to tentative programme, and artificial check is executed if realistically displayed is completed, otherwise re-executes logic calculation step；S4 manually checks step: executing current maintenance solution if current maintenance solution passes through in artificial check, and will use in this maintenance solution input database for self study, otherwise re-starts logic calculation step.
Description
Technical field
The present invention relates to a kind of efficiency data platforms, and in particular to a kind of intelligent housekeeping arrangement side of the power distribution network method of operation
Method.
Background technique
In recent years since, power distribution network scale constantly expands, and new energy largely accesses, and the multi-voltage grades such as 10kV, 20kV are simultaneously deposited,
So that distribution net work structure is increasingly complicated；At the same time, distribution project amount increases, but the available effective time subtracts relatively
It is few, the raising of the job requirements such as amount when along with good service, power failure.These factors are arranged work band to the distribution method of operation
Carry out great challenge, also brings risk.The power distribution network method of operation arrangement of power grid enterprises at present is manually to calculate mode
Main, this traditional mode has been increasingly difficult to meet work of the modern energy service enterprise on lean distribution management and want
It asks, distribution method of operation intelligence arrangement has become the developing direction of trend of the times.A kind of realization power distribution network method of operation arrangement
Aided intelligent decision-making, by the power grid data integration of the records such as the cloud platform of operation power data at large database concept, with short circuit
The power grids theoretical calculation such as calculating, Load flow calculation, load prediction is key foundation, using search strategy, node trace to the source etc. means into
Row modeling deepens high-precision load prediction, three-dimensional meter while completing distribution method of operation intelligence arrangement solution formulation
It draws balance, customize the functional applications such as power failure scheme, for promoting that distribution overall operation is horizontal, promotes good service work etc. all
The method for providing strength support is imperative.
Summary of the invention
It is an object of the invention to solve the above-mentioned prior art lack it is a kind of by cloud platform of operation power data etc. record
Power grid data integration at large database concept, using the power grids such as short circuit calculation, Load flow calculation, load prediction theoretical calculation as core base
Plinth is modeled using search strategy, the node means such as trace to the source, arranges solution formulation completing the intelligence of the distribution method of operation
Method provides a kind of intelligent housekeeping arrangement method of power distribution network method of operation.
The technical solution adopted by the present invention to solve the technical problems is: a kind of intelligence auxiliary peace of the power distribution network method of operation
Discharge method, comprising the following steps:
S1, Database step: foundation includes the basic database of mechanical floor, graph layer and program computation layer；
Logic calculation step: S2 is imported maintenance solution, is sequentially searched according to database data using power failure equipments as start node
Various constraint conditions are added in rope associate device, and the calculating of tentative programme is completed by artificial intelligence mode；
S3, realistically displayed step: carrying out realistically displayed to tentative programme, artificial check is executed if realistically displayed is completed, otherwise
Re-execute logic calculation step；
S4 manually checks step: current maintenance solution is executed if current maintenance solution passes through in artificial check, and
It will be used in this maintenance solution input database for self study, otherwise re-start logic calculation step.
Basic data main source is the cloud platform of operation power data, is electricity cloud platform in Zhejiang in Zhejiang Province, specific to wrap
Include OPEN3000 system, OMS system, generalized information system and other related system data, in addition there are manual records outside system to go through
History operation data (scheduling operation such as over the years instructs ticket, substation N-1 situation table, grid equipment Quota List).In specific data
Hold includes configuration of power network, real-time device state, real-time and historical load information, Awaiting Overhaul facility information, load characteristic curve
Deng can be needed to carry out data dilatation update according to function.
With reference to computer modeling and programming professional knowledge, 3 system layers are established --- mechanical floor, graph layer and program meter
Calculate layer.Mechanical floor includes device data and relevant parameter model, describes the incidence relation between equipment.Main equipment is to influence system
The formulation for the method for operation of uniting simultaneously influences such as arc suppression coil of system load flow distribution, generator, transformer, switch, bus key
Property equipment；Other equipment information associated with main equipment should be stored in database profession, and be determined with the associate device of the main equipment
Justice.Equipment layer data is the minor node in whole system.
Graph layer includes Drawing Object and its network topology, realizes map sheet management, result displaying and human-computer interaction etc.
Function.Graph layer is to carry out search one by one to the minor node in mechanical floor to trace to the source, and passes through the electricity of " point, line, surface " between node
Gas connects distribution relation, is layered and shows in visualization interface, forms the operation interface of daily applicable system.
Logical algorithm is arranged in the sequential operation layer of whole system, and using power failure equipments as start node, and its child node is then
It for associate device, is solved according to search strategy, search order is node Drawing Object → line pattern object → picture pair
As.The various constraint conditions such as stability, overvoltage, overload are added in calculating process, are finally completed calculating, generation type peace
Arrange tentative programme.Final scheme is formed using realistically displayed, artificial check, implements and executes simultaneously input system learning database.Wherein
Verification several times unacceptable all can return to modification.
The power distribution network method of operation arranges Aided intelligent decision-making that can export power grid from the cloud platform of operation power data
Original data model carries out data modeling further according to each line load characteristic, photovoltaic capacity, microclimate, historical load etc., improves
The route of load prediction precision, especially end access larger capacity photovoltaic user.High-precision load prediction helps to select
Excellent arrangement load transfer mode avoids situations such as equipment is out-of-limit, line end low-voltage caused by mode adjusts.
The power distribution network method of operation arrange Aided intelligent decision-making can according to data such as higher level's power grid yearly plan, monthly plans,
Distribution work and major network work plan are voluntarily carried out longitudinally matched, assessment, make corresponding distribution work plan；Further according to
Project amount, load prediction, meteorological data etc. carry out lateral rebalancing to distribution work plan and form optimal solution, by lateral and vertical
To three-dimensional plan balance, make the scheme of " one stop being mostly used, energy band is not stopped ", reduce scope of power outage and frequency of power cut, keep away
Exempt from user to repeat to have a power failure.
It can achieve " adhering to separately property of client has a power failure customizable " by the method, each client is to frequency of power cut, power off time
The difference of susceptibility, and the power distribution network method of operation arranges Aided intelligent decision-making that can adopt from the cloud platform of operation power data
Collect user information, carry out the division of user's susceptibility for different client, by distribution line block switch to power failure work into
Row Cell and Time Distribution section lean arrangement forms and customizes power failure scheme, meets customer personalized demand, and good service is worked from confession
Electric enterprise end extends to first section.Customer electricity Experience Degree is promoted, client's viscosity is increased.
Preferably, in step sl, establishing in the Database step has database facility layer, database figure
Layer and the database program computation layer for executing logic calculation step,
Wherein, mechanical floor includes the device data for describing the incidence relation between equipment and relevant parameter model, main equipment are
It influences the formulation of system operation mode and influences the key equipment of system load flow distribution；Equipment letter associated with main equipment
Breath is stored in database profession, and is defined with the associate device of the main equipment；Equipment layer data is the minor node in whole system.
Preferably, the key equipment includes arc suppression coil, generator, transformer, switch and bus.
Preferably, the graph layer is to carry out search one by one to the minor node in mechanical floor to trace to the source, by between node
Electrical connection distribution relation, in visualization interface be layered show.
Preferably, the database source is the cloud platform of operation power data, and the manual record that imports is gone through
History operation data, including configuration of power network, real-time device state, in real time and historical load information, Awaiting Overhaul facility information and negative
Lotus characteristic curve.
Preferably, the parameter model includes tide model, stable model and other models, the tide model includes
The road model of nodal analysis method sum, the stable model include excitation model and PSS model, other described models include failure mould
Type, output Controlling model and calculating Controlling model.
Preferably, negative according to each line load characteristic, photovoltaic capacity, microclimate and history in the logic calculation step
Lotus carries out data modeling, and the circuit setting for being greater than the photovoltaic user of given threshold capacity to end access in calculating process weights
Assignment carries out the arrangement of load transfer mode using the load prediction that self study mode obtains, if the maintenance solution in calculating process
It is middle to occur because equipment caused by adjusting is out-of-limit and line end low voltage condition is then carried out from main modulation.
Preferably, in Database step, each client to the difference of frequency of power cut and power off time susceptibility,
User information is acquired from the cloud platform of operation power data, the division of user's susceptibility is carried out for different clients, in logic
It calculates in step, using distribution line block switch as separation, the arrangement of Cell and Time Distribution section is carried out to power failure work and is calculated, it is fixed to be formed
Inhibition and generation power failure scheme.
Preferably, the maintenance solution not executed in step S3 and step S4 is as in denial plan input database
It is used for self study.Artificial intelligence mode implementation method in the application uses existing artificial intelligence implementation, study
The maintenance to fail during the source in library is by the scheme of the maintenance of the implementation of verification and in simulation process, desk checking
Scheme, wherein the constraint condition in the present invention sets manually or determined by the parameter of equipment itself, interior joint weighting of the present invention
The setting of data is set manually or by: each client to frequency of power cut and power off time susceptibility and load characteristic, negative
Each environment factors such as period are carried to be configured.
Preferably, in step s 2, user can directly specify the priority or preferred value of adjustment data.The present invention
The preferred value of middle adjustment data is realized by the adjustment mode of node valuation ratio, i.e., under original adjustment mode, refers to
The adjustment assignment ratio for being set to the node relevant parameter of high priority is increased, and in the application, can be completed by graphic interface
The priority that the interior equipment that draws the line is adjusted data adjusts, and in the application, can also be carried out by way of selected route
Adjust the priority adjustment of data.
Preferably, in the priority set-up procedure for being adjusted data by way of selecting route, manually
It actively selectes and is worth on the basis of the node valuation ratio of node, the node valuation ratio of arbitrary node passes through node on selected route
It the weighted value of importance and is calculated with the equipment distance of manual mode actively selected node, wherein equipment distance is
According to route by load quantity, size and type be determined.
Substantial effect of the invention is: by establishing intelligent auxiliary operation on the basis of large database concept, formation is taken into account
The decision scheme of the functions such as method of operation arrangement, work plan integration, the customization of client differentiated.It is strong hand labor to be mitigated
Degree promotes working efficiency and accuracy.It is adapted to the work of the fortune side under large capacity, fast pace background, is adapted to increasingly sophisticated
Power grid framework is adapted to focus on the tendency of the day of good service.As the continuous improvement of distribution automation degree and route join
Network mode is enriched constantly, Aided intelligent decision-making as described herein will can mature, and for reduce have a power failure, further
Improve power supply reliability and customer satisfaction.
Detailed description of the invention:
Fig. 1: overall flow figure of the invention.
Specific embodiment
Below by specific embodiment, in conjunction with attached drawing, technical scheme of the present invention will be further explained in detail.
Embodiment 1:
A kind of intelligent housekeeping arrangement method of the power distribution network method of operation, it is characterised in that: the following steps are included:
S1, Database step: foundation includes the basic database of mechanical floor, graph layer and program computation layer；
Logic calculation step: S2 is imported maintenance solution, is sequentially searched according to database data using power failure equipments as start node
Various constraint conditions are added in rope associate device, and the calculating of tentative programme is completed by artificial intelligence mode；
S3, realistically displayed step: carrying out realistically displayed to tentative programme, artificial check is executed if realistically displayed is completed, otherwise
Re-execute logic calculation step；
S4 manually checks step: current maintenance solution is executed if current maintenance solution passes through in artificial check, and
It will be used in this maintenance solution input database for self study, otherwise re-start logic calculation step.
In step sl, establishing in the Database step has database facility layer, database graph layer and execution
The database program computation layer of logic calculation step, mechanical floor include describe the incidence relation between equipment device data and
Relevant parameter model, main equipment are the key equipment for influencing the formulation of system operation mode and influencing system load flow distribution；With
The associated facility information of main equipment is stored in database profession, and is defined with the associate device of the main equipment；Equipment layer data is
Minor node in whole system.
The key equipment includes arc suppression coil, generator, transformer, switch and bus.
The graph layer is to carry out search one by one to the minor node in mechanical floor to trace to the source, and passes through the electrical connection between node
Distribution relation is layered in visualization interface and shows.
The database source is the cloud platform of operation power data, and the history run number of the manual record imported
According to, including configuration of power network, real-time device state, real-time and historical load information, Awaiting Overhaul facility information and part throttle characteristics song
Line.
The parameter model includes tide model, stable model and other models, and the tide model includes nodal analysis method
The road model of sum, the stable model include excitation model and PSS model, other described models include fault model, output control
Simulation and calculating Controlling model.
It is counted in the logic calculation step according to each line load characteristic, photovoltaic capacity, microclimate and historical load
According to modeling, the circuit setting for being greater than the photovoltaic user of given threshold capacity to end access in calculating process weights assignment, adopts
Carry out load transfer mode arrangement with the load prediction that self study mode obtains, if occur in maintenance solution in calculating process because
Equipment caused by adjust is out-of-limit and line end low voltage condition is then carried out from main modulation.
In Database step, each client to have a power failure and power off time susceptibility difference, from operation power number
According to cloud platform on acquire user information, carry out the division of user's susceptibility for different client, in logic calculation step, with
Distribution line block switch is separation, carries out the arrangement of Cell and Time Distribution section to power failure work and calculates, is formed and customize power failure scheme.
In step S3 and step S4 not execute maintenance solution as in denial plan input database for self study
It uses.
In the priority set-up procedure that the present embodiment is adjusted data by way of selecting route, lead manually
It is worth on the basis of the node valuation ratio of dynamic selected node, the node valuation ratio of arbitrary node passes through node weight on selected route
It the weighted value for the property wanted and is calculated with the equipment distance of manual mode actively selected node, wherein equipment distance is root
According to route by load quantity, size and type be determined.
In step s 2, user can directly specify the priority or preferred value of adjustment data.Number is adjusted in the present invention
According to preferred value realized by the adjustment mode of node valuation ratio, i.e., under original adjustment mode, be appointed as Gao You
The adjustment assignment ratio of the node relevant parameter of first grade is increased, and in the application, can complete to draw the line by graphic interface
The priority that interior equipment is adjusted data adjusts, and in the application, can also be adjusted data by way of selected route
Priority adjustment.
Artificial intelligence mode implementation method in the present embodiment uses existing artificial intelligence implementation, learning database
The side of the maintenance to fail during source is by the scheme of the maintenance of the implementation of verification and in simulation process, desk checking
Case, wherein the constraint condition in the present invention sets manually or determined by the parameter of equipment itself, interior joint weighted number of the present invention
According to setting set manually or by: each client to having a power failure and power off time susceptibility and load characteristic, load period
It is configured etc. each environment factor.
The present embodiment by establishing intelligent auxiliary operation on the basis of large database concept, formation take into account method of operation arrangement,
The decision scheme of the functions such as work plan integration, the customization of client differentiated.Labor intensity can be mitigated, promote working efficiency
And accuracy.It is adapted to the work of the fortune side under large capacity, fast pace background, increasingly sophisticated power grid framework is adapted to, is adapted to
Focus on the tendency of the day of good service.With distribution automation degree continuous improvement and route contact information it is continuous rich
Richness, Aided intelligent decision-making as described herein will can mature, and for reduce have a power failure, further increase power supply reliability
And customer satisfaction.
Above-mentioned embodiment is only a preferred solution of the present invention, not the present invention is made in any form
Limitation, there are also other variations and modifications on the premise of not exceeding the technical scheme recorded in the claims.
Claims (9)
1. a kind of intelligent housekeeping arrangement method of power distribution network method of operation, it is characterised in that: the following steps are included:
S1, Database step: foundation includes the basic database of mechanical floor, graph layer and program computation layer；
Logic calculation step: S2 is imported maintenance solution, is sequentially searched according to database data using power failure equipments as start node
Various constraint conditions are added in rope associate device, and the calculating of tentative programme is completed by artificial intelligence mode；
S3, realistically displayed step: carrying out realistically displayed to tentative programme, artificial check is executed if realistically displayed is completed, otherwise
Re-execute logic calculation step；
S4 manually checks step: current maintenance solution is executed if current maintenance solution passes through in artificial check, and
It will be used in this maintenance solution input database for self study, otherwise re-start logic calculation step.
2. the intelligent housekeeping arrangement method of the power distribution network method of operation according to claim 1, it is characterised in that: in step S1
In, establishing in the Database step has database facility layer, database graph layer and the number for executing logic calculation step
According to library computation layer, mechanical floor includes describing the device data and relevant parameter model of the incidence relation between equipment, main
Equipment is the key equipment for influencing the formulation of system operation mode and influencing system load flow distribution；It is associated with main equipment
Facility information is stored in database profession, and is defined with the associate device of the main equipment；Equipment layer data is small in whole system
Node.
3. the intelligent housekeeping arrangement method of the power distribution network method of operation according to claim 2, it is characterised in that: the pass
Keyness equipment includes arc suppression coil, generator, transformer, switch and bus.
4. the intelligent housekeeping arrangement method of the power distribution network method of operation according to claim 2, it is characterised in that: the figure
Layer is to carry out search one by one to the minor node in mechanical floor to trace to the source, by the electrical connection distribution relation between node, visual
Change to be layered in interface and show.
5. the intelligent housekeeping arrangement method of the power distribution network method of operation according to claim 2, it is characterised in that: the data
Library source is the cloud platform of operation power data, and the history data of the manual record imported, including configuration of power network,
Real-time device state, real-time and historical load information, Awaiting Overhaul facility information and load characteristic curve.
6. the intelligent housekeeping arrangement method of the power distribution network method of operation according to claim 2, it is characterised in that: the parameter
Model includes tide model, stable model and other models, and the tide model includes the road model of nodal analysis method sum, described steady
Cover half type includes excitation model and PSS model, other described models include fault model, output Controlling model and calculating control mould
Type.
7. the intelligent housekeeping arrangement method of the power distribution network method of operation according to claim 2, it is characterised in that: the logic
It calculates in step and data modeling is carried out according to each line load characteristic, photovoltaic capacity, microclimate and historical load, in calculating process
In to end access be greater than given threshold capacity photovoltaic user circuit setting weight assignment, obtained using self study mode
Load prediction carries out the arrangement of load transfer mode, if occurring in maintenance solution in calculating process because equipment caused by adjusting is got over
Limit and line end low voltage condition are then carried out from main modulation.
8. the intelligent housekeeping arrangement method of the power distribution network method of operation according to claim 5, it is characterised in that: in database
In establishment step, each client is to the difference of frequency of power cut and power off time susceptibility, from the cloud platform of operation power data
User information is acquired, the division of user's susceptibility is carried out for different clients and is segmented in logic calculation step with distribution line
Switch is separation, carries out the arrangement of Cell and Time Distribution section to power failure work and calculates, is formed and customize power failure scheme.
9. the intelligent housekeeping arrangement method of the power distribution network method of operation according to claim 5, it is characterised in that: in step S3
It is used as in denial plan input database for self study with the maintenance solution not executed in step S4.
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Application publication date: 20190621 |