CN105071385B - A kind of grid operation data real-time analyzer - Google Patents
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Abstract
The present invention provides a kind of grid operation data real-time analyzers, comprising: the system prediction data short-term according to power grid forms prediction trend, in conjunction with power grid current operating conditions estimated result, carries out comprehensive analysis to the trend of operation of power networks state.The invention proposes a kind of grid operation data real-time analyzers, and dispatcher is helped to grasp principal states situation of change expected from power grid, can effectively promote it and cope with operation of power networks demand for control, ensure safe and stable operation.
Description
Technical field
The present invention relates to electric network data analysis, in particular to a kind of grid operation data real-time analyzer.
Background technique
As power grid enters the intelligent digital stage, to power grid controling power is improved, reinforces specialized, lean management and mention
Requirements at the higher level are gone out.The propulsion of the marketization, the access of extensive renewable new energy are more in Operation of Electric Systems not
It determines under state, dispatching of power netwoks operating pressure increases, and control difficulty increases.Stable point of actual time safety is carried out for current operation
Analysis, the simulation analysis used time is longer, relatively lags behind in time.Operation of power networks controls the experience and papery for generally relying on dispatcher
Information inquiry, with the promotion of operation of power networks complexity, the operation data quantity that management and running need to be grasped is more and more, scheduling
Difficulty is promoted.
Summary of the invention
To solve the problems of above-mentioned prior art, is analyzed in real time the invention proposes a kind of grid operation data and be
System, the system prediction data short-term according to power grid forms prediction trend, in conjunction with power grid current operating conditions estimated result, to electricity
The trend of Running State carries out comprehensive analysis；
The data analysis that the grid operation data real-time analyzer is carried out includes expected trend generation, status safety
Estimation, tendency of changes analysis and four modules of operational decisions, wherein expected trend is generated according to multibreak face power flowcontrol, real-time
It is superimposed a variety of dispatch plan datas on the basis of flow data, forms following prediction flow data, status safety estimation is based on
Following prediction flow data realizes the safety and stability state estimation to expected operating status point, and tendency of changes analysis is based on pre-
Analysis conclusion in the estimation of phase status safety, definition and operation type controlling feature by index judge operation of power networks state
Safety and stability situation of change, operational decisions for will to stable state generate deleterious effects factor, calculate adjustable strategies,
Obtain auxiliary control decision result；
The expected trend, which is generated, forms real-time trending analysis by tending to data recombination, and the trend data recombination faces
Object be based on plan, prediction operation of power networks type, rudimentary algorithm use multibreak face power flowcontrol, solve power grid tide
Multiple section powers are controlled in specified numerical value while flow equation；Using real-time generation schedule, short-term load forecasting, new energy
Data source one of of the prediction data that generates electricity as Load flow calculation, to match the real-time generation schedule, short-term load forecasting, new energy
Source generate electricity prediction data flow solution, tend to data recombination using multistep control the plan of method Step wise approximation, predicted value, i.e., with
Real time data is basic starting point, and by gradually adjusting power generation, load, the generated energy that allows in flow solution, load are constantly approached
Target value finally acquires the flow solution for meeting plan, prediction data；
In the case where being applied to actual electric network operation, search, which tends to data, to take following measures:
1) matching priority ranking is carried out to power generation, load data, occurs not adjusting or following during load flow rectification
When ring adjusts, abandons the low data matching requirements of part priority and continue to solve, to ensure the robustness of total algorithm；
2) power grid is split as multiple minor scale power nets using more control of section and carries out multi-Step Iterations calculating, reduce the expansion of bad data
Dissipate effect, adaptability of the boosting algorithm to bad data；
Tendency of changes analysis, which controls operation type, carries out digitized description and parsing, including type identification, out-of-limit
Judgement and Strategy Simulation；Wherein, operating status of the type identification based on current electric grid wants all kinds of modes in operation constraint
It asks and is matched, find its corresponding operation constraint entry；Out-of-limit judgment basis type identification as a result, in conjunction with flow data pair
All kinds of power grid controls requirement wherein constrained is judged that the range of judgement includes section or line power limit, voltage or more
Limit, booting number of units constraint requirements；Strategy Simulation is according to type identification as a result, in conjunction with used in flow data and analytical calculation
Imaginary fault set judges the security controlling actions situation under each fault condition, is arranged to the fault actions of simulation calculation and carries out
It regenerates, enables the action policy of the correct simulating Safety control device of grid simulation.
The present invention compared with prior art, has the advantage that
The invention proposes a kind of grid operation data real-time analyzers, help dispatcher to grasp main expected from power grid
State change situation is wanted, it can be effectively promoted and cope with operation of power networks demand for control, ensure safe and stable operation.
Specific embodiment
The detailed description to one or more embodiment of the invention is provided below.This hair is described in conjunction with such embodiment
It is bright, but the present invention is not limited to any embodiments.The scope of the present invention is limited only by the appended claims, and the present invention cover it is all
More substitutions, modification and equivalent.Illustrate many details in order to provide thorough understanding of the present invention in the following description.Out
These details are provided in exemplary purpose, and can also be according to power without some or all details in these details
Sharp claim realizes the present invention.
The invention proposes grid operation data analysis system, the prediction data short-term according to power grid forms prediction trend,
In conjunction with power grid current operating conditions estimated result, overall merit is carried out to the trend of operation of power networks state, reminds scheduling people in advance
Member simultaneously provides ancillary measure suggestion.The data analysis that grid operation data analysis system is carried out mainly includes that expected trend is raw
At the estimation of, status safety, tendency of changes analysis and four technical problems of operational decisions.Wherein tend to data recombination mainly according to more
Section tidal current control, is superimposed a variety of dispatch plan datas on the basis of Real-time Power Flow data, forms following prediction trend number
According to, it is contemplated that status safety estimation realizes the safety and stability state to expected operating status point based on following prediction flow data
Estimation tends to aggregate analysis based on the analysis conclusion in expecting state safely estimation, passes through the definition and operation type control of index
Feature processed, judges the safety and stability situation of change of operation of power networks state, and operational decisions are directed to the stabilization that will generate deleterious effects
State calculates adjustable strategies, obtains auxiliary control decision result.
By tending to the data basis that the prediction trend that data recombination is formed is real-time trending analysis, correctness and robust
Property determine system operation overall condition.Tending to the object that data recombination faces is a kind of based on plan, prediction " virtual "
Operation of power networks type has a degree of uncertainty.The rudimentary algorithm for tending to data recombination uses more section tidal current controls
System, the algorithm can control multiple section powers in designated position while solving electric network swim equation, and when calculating power grid
Has good convergence.Using data such as real-time generation schedule, short-term load forecasting, generation of electricity by new energy predictions as trend meter
One of data source of calculation, target are to form the flow solution for matching these plans, prediction data as far as possible.Tend to recombination data using more
The plan of method Step wise approximation, the predicted value of control are walked, i.e., is basic starting point with real time data, using the thinking of continuous tide,
By gradually adjusting power generation, load, the generated energy that allows in flow solution, load constantly approach target value, finally acquire and meet meter
It draws, the flow solution of prediction data.In the case where being applied to actual electric network operation, in order to improve the robust for tending to Load flow calculation
Property, following measures can be taken by tending to data recombination.
1) due to the nonlinear characteristic of Load flow calculation, if plan, prediction data cover most of or even all power generations
Machine, load, it will be difficult to find the flow solution for complying fully with these data.Thus the present invention is in practical projects, to power generation, load
Data carry out matching priority ranking, and when occurring not adjusting or recycling adjustment during load flow rectification, it is preferential to abandon part
The low data matching requirements of grade continue to solve, to ensure the robustness of total algorithm.
2) actual electric network application is the coordinated operation of multi-stage scheduling, and the generation of links bad data is inevitable, this hair
It is bright that power grid is split as using multibreak face power flowcontrol by multiple minor scale power nets progress multi-Step Iterations calculating, the expansion of bad data is effectively reduced
Dissipate effect, adaptability of the boosting algorithm to bad data.
Based on the constraint of actual electric network operation type and safety control strategy, the invention proposes operation constraint and security controls
The digitlization statement of strategy and analytic method.After operation type control is using digitized description and parsing, safety can be planned
The multiclass such as check are using real-time trending analysis technology is also answered at three type identification, out-of-limit judgement and Strategy Simulation aspects
With the technology.Wherein, operating status of the type identification based on current electric grid, for operation constraint in all kinds of modes require into
Its corresponding operation constraint entry is found in row matching.Out-of-limit judgment basis type identification as a result, in conjunction with flow data to wherein
All kinds of power grid controls requirement of constraint is judged that the range of judgement includes section/line power limit, voltage bound, opens
Board number constraint etc. requires.Strategy Simulation is according to type identification as a result, the vacation in conjunction with used in flow data and analytical calculation
Think fault set, judge the security controlling actions situation under each fault condition, weight is carried out to the fault actions setting of simulation calculation
It is newly-generated, enable the action policy of the correct simulating Safety control device of grid simulation.
The basic point of departure of trending analysis is the safety of the safe condition (starting point) and expected power grid by current electric grid
State (terminal), the safety for judging that power grid changes in this period tend to.It is required for operation of power networks control, available computational resources
With comprehensively considering for current electric grid scale, trending analysis calculates time interval and is set as 15min.The judgement tended to for operation of power networks
It is main to carry out comprehensive descision according to trending analysis conclusion, according to the division of power system security and unsafe condition, become with variation
It is combined to possibility.
Wherein in above-mentioned Security Checking application aspect, the characteristics of present invention is further combined with domestic power grid differentiated control, mention
The availability and reasonability that high safety is checked.Bottom needed for grid operation data analysis system shields realization data exchange is logical
The specific method of letter technology and application processing, supports the transmission of application request message and response results information from transmission.Safety
Check service and information exchange mechanism be provided in the form of interface function, meet each application function to the inquiry of Security Checking service,
Monitoring, positioning and in the service access of wide scope and shared.
Security Checking calls the parallel computation service of grid operation data analysis system, passes through standard interface realization and a group of planes
The interaction of computing resource.Parallel computation service support predistribution with dynamically distribute two ways, the calculation amount of Security Checking according to
The demand of application and dynamic change, by the way of dynamic allocation.After Security Checking server-side receives computation requests, according to calculating
Content estimates calculation amount, and the priority and parallel computer group resource then in conjunction with calculating determine the service that distribution is calculated to this
Device number gives full play to the calculating efficiency of parallel computer group so that multi-task parallel be supported to calculate.The calculation amount of Security Checking
It is larger, check section number is determined by calculating cover time section first, then will be carried out largely for each check section
Various safety analyses based on setting fault set.Security Checking is parallel using example, high-ranking officers' cross section nuclear Load flow calculation task and peace
In the distribution of computation tasks of complete analysis fault scanning to each central processing unit core of parallel computer group.
The data inputted in Load flow calculation include: electric network model, system loading prediction and bus load prediction, equipment shape
State changes plan, generation schedule, tie line plan, saves total exchange plan and scheduling operation information.
United Dispatching, principle of administration by different levels are carried out in domestic operation of power networks, and power grids at different levels are responsible for adjusting the plan in scope tube
Establishment and Security Checking.First by state's tune, the fixed transregional tie line plan of point modulation and the total exchange plan of province, then determined by saving modulation
Generation schedule.In plan implementation procedure, got in touch between province by dispatcher and the guarantee of interconnection automatic power control system are transregional
Linear heat generation rate and plan are consistent.Therefore, it in Load flow calculation, controls transregional interconnection and province's discontinuity surface trend is to ensure that planned value
Power flow solutions and the close basis of next day operating condition, while being avoided that each region and saving the imbalance of unscheduled power inside power grid
It measures to external diffusion, has crucial meaning to good power flow solutions are formed.
The present invention uses the power flow algorithm based on multibreak surface technology, increases section power based on traditional newton power flow algorithm
Constrained equations.
Ptie(m)=Σk∈mPk=Psched tie(m)
In formula: Ptie(m) and Psched tie(m) be respectively section m trend active power and plan active power, k ∈ m table
Show all branches for belonging to section m, PkFor branch active power relevant to section m.
It is accurately controlling transregional interconnection and is saving in discontinuity surface trend, according to the actual conditions of each department power grid, can set
Following 3 kinds of modes distribute imbalance power.
1) imbalance power is undertaken by specified generating set, it is general that homophony frequency brand-name computer group is set and has Automatic Generation Control
The unit of function undertakes imbalance power in unit capacity ratio.
2) in view of the error of bus load prediction, imbalance power is undertaken in the ratio of predicted value by bus load.
3) combination of first two mode undertakes imbalance power by specified unit and bus load.
To solve the problems, such as to lack reactive power and voltage data, using history similar day trend as Load flow calculation iteration
Initial value, and apply reactive voltage automatic adjustment technologies, to guarantee the reasonability of reactive power and voltage's distribiuting in power flow solutions,
Specific step is as follows.
1) reactive power and voltage initial value of Load flow calculation are obtained from the Data of State Estimation that history similar day corresponds to the moment.
2) Measures of Reactive Compensation of bonding apparatus state change Plan rescheduling relevant device, including super-pressure and extra-high crimping
The mating capacitive reactance device throwing on road is moved back, the benefit throwing of the string of long-distance transmission line is moved back, the throwing of the capacitive reactance device of DC converter station and filter is moved back.
3) for the hub node in operation of power networks type of report, adjustment Measures of Reactive Compensation makes the voltage of hub node
In the range of constraint.There is the plant stand of idle regulation measure for other, rule of thumb sets voltage and control aim curve.It is idle
Regulating measures include that generator reactive power adjustment and capacitive reactance device throwing are moved back.
Due to the complexity of trend, the problem of trend does not restrain, is difficult to avoid, and utilizes corresponding adjustment strategy at this time.
1) it uses and closes on period convergent power flow solutions as the Load flow calculation initial value for not restraining the period.Close on the trend of period
Relatively, selection facilitates to improve convergence apart from the closer trend initial value of convergence point.
2) it when the error of voltage iteration Δ U is larger, adjusts voltage-controlled target and recalculates.By the bound of voltage
Entirety moves up or moves down 0.01,0.02,0.03, forms multiple voltage and controls objective cross, is concurrently weighed using parallel computing platform
It is new to calculate.
3) when the error of phase angle iteration Δ θ is larger, the selected strategy of distributed balancing machine is adjusted, unit or bus are increased
The active imbalance power of load shared.
Trend is convergent on condition that reasonable dispatch plan data, it is necessary to carry out inspection and school to dispatch plan data first
It tests.For this purpose, proposing following Security Checking scheme.Commercial library synchronous service based on grid operation data analysis system, state's tune divide
It adjusts, save and power grids at different levels is adjusted to use identical the whole network model and identical the whole network dispatch plan data, with unified trend for each
Forecast failure within the scope of self scheduling carries out security and stability analysis, then shares safety and stability check result.For dispatching range
Internal fault causes to dispatch the stable problem outside range by scheduling corrdinated adjustment operation plans at different levels, eliminates safe hidden trouble.
Good dispatch plan data quality is to guarantee the rational basis of Security Checking result, must be counted thus to scheduling
It draws data to be checked, including data integrity and logicality.Data integrity inspection includes: generation schedule, load prediction etc.
Whether all kinds of planning datas are complete, and whether planning data covers all devices adjusted in scope tube, and whether shaped form data lack number
Strong point.Logicality inspection includes: that load prediction maximum value, minimum value and the rate of change are no more than certain value, and machine unit scheduling plan is not
Contribute higher than maximum technology, not grid-connected unit planned cannot contribute, and maintenance plan record cannot be conflicting, each province's hair, it is defeated,
Electricity consumption planning data meets Constraints of Equilibrium, it is desirable that deviation is within 5%.
ΣPGen-Ptie=Σ Pload+ΣPloss+ΣPservice
In formula: PGenFor generation schedule, PloadFor bus load prediction, PtieTo save total exchange plan, PlossFor network loss,
PserviceFor station service.
According to a further aspect of the invention, in the actual analytic process of grid operation data, due to analysis rule collection scale
Greatly, relevant dimension is high, so that the analytical calculation amount on large-scale dataset is big, inefficiency.And the prior art is needle mostly
Index is optimized to the data set of single type, and the quantity of rule set is also relatively fewer, does not make full use of multiple types
Relationship in type data set between different attribute, thus be difficult to be applied directly in a plurality of types of data analyses, it directly affects
Analysis performance.
The present embodiment introduces the thought of hierarchical index on the basis of multi-dimensional indexing.Consider different types of data collection sheet
The characteristic of body, the Attribute transposition for including by data set are discontinuous attribute and connection attribute.In view of the fortune on discontinuous attribute
The high characteristic of operator sharing degree proposes a kind of two layers of hierarchical index, gives index generation and analysis and matching process.
The invention proposes the dynamic indexs calculated towards large scale analysis rule on different types of data collection, support analysis
The real-time update of rule, main process include that index generation and real-time matching calculate.When generating index, first to different type
The property set of data set is classified: connection attribute and discontinuous attribute.Then, according to attribute type by the analysis rule of input
Collection is divided into different operator set, generates hierarchical index based on different operator set: according on discontinuous attribute
Operator generates binary search tree as the first layer index, and in the second layer, all connection attributes are mapped as hyperspace, according to
The relevant operator of continuity attribute generates multi-dimensional indexing.Since the operator on discontinuous attribute is all discrete value, so
The first layer index generated can be navigated to quickly on analysis rule, and space expense is also smaller.In classification of the invention
The identical attribute operator of attribute is divided according to dimension and generates index by the second layer of index, the present invention, is promoted divide as far as possible
Analyse rule process speed.When carrying out analytical calculation to the data set tuple t reached in real time, vector extraction is carried out to t first and is cut
It cuts out and calculates, the vector after quantization obtains different operator vectors after the processing of operator attributive classification, with of the invention
The analysis rule collection of the condition of satisfaction is obtained by filtration by two-stage index for the analysis rule method of hierarchical index.
From structure, hierarchical index includes 3 important components and 3 important operations.Wherein, 3 compositions
Part is respectively: (1) the binary search tree hierarchical index of first layer, the multidimensional vector hierarchical index of (2) second layer, (3) analysis
The contingency table of rule and operator.3 primary operationals based on hierarchical index of the invention are respectively: (1) it searches for, (2) insertion,
(3) it deletes.
Hierarchical index of the invention is generally 1 two layers of hierarchical index.First layer is generated by discontinuous operator
Binary search tree index, the second layer is the hyperspace tree for according with corresponding multidimensional vector according to consecutive operations and generating, in addition 1
Critically important component part is the contingency table of analysis rule AND operator, for completing the quick of two layer index analysis rule results
Combination.
Node in hierarchical index of the invention can be divided into 3 classes: first floor node top, the intermediate node mid of the second layer and
Leaf node leaf.
Include following element in first floor node: attr is the corresponding discontinuous attribute of first floor binary search tree node,
Value is the corresponding discrete value of binary search tree node, and weight is the priority of the operator of the node on behalf,
Left, right are the left and right child nodes of the node.In intermediate node: it is corresponding more that branch represents the second layer index
The intermediate node pointer of dimension space tree construction.In leaf node: mbr is the corresponding multidimensional vector of second layer leaf node.
Based on hierarchical index of the invention, propose a kind of feasible index generation method, be divided into 3 steps: rule is pre-
Processing, operator set and division and hierarchical index generate.First pretreated rule set is carried out according to attributive classification certain
Division, on this basis again to after division data set layering generate index.
When rule set divides, for pretreated n rule, discontinuous operation has been divided according to attribute classification and codomain
It accords with set A and consecutive operations accords with set B.Wherein:
Σ | | A | |+| | B | |=Σq∈Qp (q), Q are registered analysis rule collection, and q is single analysis rule, and p is fortune
Operator.Assuming that the operator set in the first dimension has been divided into s section I1, I2..., Is, wherein each section only has non-company
Reforwarding operator or consecutive operations symbol.Due to have passed through pretreated dimension transformation, so that I1, I2..., Is, section in contain
Operator attribute it is similar, convenient for be layered secondary index generation.Meanwhile the rule set of different types of data collection registration generally comprises
Precedence information, regular priority is higher, indicates that its analyzed demand calculated is more urgent.When a new analysis rule
Be registered in system, hierarchical index of the invention pass through first preprocessing module analysis rule is divided into according to attribute type it is non-
Consecutive operations accord with pdP is accorded with consecutive operationsc.Then by discontinuous operator pdIt is inserted into the first layer of hierarchical index of the invention
It in index, that is, is inserted into the corresponding binary search tree index of discontinuous attribute, consecutive operations is finally accorded with into pcIt is inserted into
In second layer index of hierarchical index.
When by pdWhen being inserted into the binary search tree of first layer, first, in accordance with the standard inserted mode of sequence binary tree
It is inserted into, but at this moment may violate the heap characteristic of binary search tree, it is therefore desirable to it is bottom-up to be rotated, until heap characteristic
Met.Deletion be it is opposite, priority is first set as minimum, leaf is transferred to from top to bottom, then deletes.
The second layer insertion method of hierarchical index is substantially are as follows: the target leaves node to be inserted into is navigated to first, positioning
Process itself is a recursive procedure.Second layer index is inserted into pcProcess since the root node of the second layer, sequentially according to range
First search is scanned for according to the inclusion relation of hyperspace, after finding a leaf node n, checks the branch of n
Number.If it find that already exceed branch threshold value M, then directly carry out node split, generate new node, and by the existing node of n and
PcVector be evenly distributed in two nodes using heuristic strategies, finally successively update parent information.If the branch of n
Number is not above threshold value M, then directly completes insertion operation by updating father node.
Based on the characteristic of discontinuous operator, the first layer index of hierarchical index of the invention is generated with binary search tree,
The quick analysis rule for accelerating discontinuous operator calculates.Assuming that the priority of empty tree is infinity, then above addition and delete
Except method can correctly handle the situation of only one son.The addition of first layer index and the expected time of delete operation are complicated
Degree is O (logn).
Insertion process sixty-four dollar question is the division strategy of the second layer index interior joint.The present invention is using inspiration herein
Formula strategy.All blocks to be divided are taken out first.Then selection overlapping area is minimum, it is maximum to cover the area of two blocks simultaneously
Two blocks.Finally difference is overlapped according to area for remaining piece successively to incorporate into different nodes.
Obviously, it should be appreciated by those skilled in the art, each module of the above invention or each steps can be with general
Computing system realize that they can be concentrated in single computing system, or be distributed in multiple computing systems and formed
Network on, optionally, they can be realized with the program code that computing system can be performed, it is thus possible to they are stored
It is executed within the storage system by computing system.In this way, the present invention is not limited to any specific hardware and softwares to combine.
It should be understood that above-mentioned specific embodiment of the invention is used only for exemplary illustration or explains of the invention
Principle, but not to limit the present invention.Therefore, that is done without departing from the spirit and scope of the present invention is any
Modification, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.In addition, appended claims purport of the present invention
Covering the whole variations fallen into attached claim scope and boundary or this range and the equivalent form on boundary and is repairing
Change example.
Claims (1)
1. a kind of grid operation data real-time analyzer, it is characterised in that:
The system prediction data short-term according to power grid forms prediction trend, right in conjunction with power grid current operating conditions estimated result
The trend of operation of power networks state carries out comprehensive analysis；
The data analysis that the grid operation data real-time analyzer is carried out includes that expected trend generates, status safety is estimated
Meter, tendency of changes analysis and four modules of operational decisions, wherein expected trend is generated according to multibreak face power flowcontrol, in real-time tide
It is superimposed a variety of dispatch plan datas on the basis of flow data, forms following prediction flow data, status safety estimation is not based on
The prediction flow data come, realizes the safety and stability state estimation to expected operating status point, and tendency of changes analysis is based on being expected
Analysis conclusion in status safety estimation, definition and operation type controlling feature by index judge operation of power networks state
Safety and stability situation of change, operational decisions calculate adjustable strategies, obtain for the factor that will generate deleterious effects to stable state
Control decision result is assisted out；
The expected trend, which is generated, forms real-time trending analysis, pair for tending to data recombination and facing by tending to data recombination
As if the operation of power networks type based on plan, prediction, rudimentary algorithm use multibreak face power flowcontrol, are solving electric network swim side
Multiple section powers are controlled in specified numerical value while journey；Using real-time generation schedule, short-term load forecasting, generation of electricity by new energy
Data source one of of the prediction data as Load flow calculation, to match the real-time generation schedule, short-term load forecasting, new energy hair
The flow solution of electric prediction data tends to the plan of method Step wise approximation, predicted value that data recombination is controlled using multistep, i.e., with real-time
Data are basic starting point, and by gradually adjusting power generation, load, the generated energy that allows in flow solution, load constantly approach target
Value, finally acquires the flow solution for meeting plan, prediction data；
In the case where being applied to actual electric network operation, search tends to data and takes following measures:
1) matching priority ranking is carried out to power generation, load data, occurs not adjusting or recycling tune during load flow rectification
When whole, abandon the low data matching requirements of part priority and continue to solve, to ensure the robustness of total algorithm；
2) power grid is split as multiple minor scale power nets using more control of section and carries out multi-Step Iterations calculating, reduce the diffusion effect of bad data
It answers, adaptability of the boosting algorithm to bad data；
The tendency of changes analysis, which controls operation type, carries out digitized description and parsing, including type identification, out-of-limit judgement
And Strategy Simulation；Wherein, operating status of the type identification based on current electric grid, for operation constraint in all kinds of modes require into
Its corresponding operation constraint entry is found in row matching；Out-of-limit judgment basis type identification as a result, in conjunction with flow data to wherein
All kinds of power grid controls requirement of constraint is judged that the range of judgement includes section or line power limit, voltage bound, opens
Board number constraint requirements；Strategy Simulation is according to type identification as a result, the imagination in conjunction with used in flow data and analytical calculation
Fault set judges the security controlling actions situation under each fault condition, carries out again to the fault actions setting of simulation calculation
It generates, enables the action policy of the correct simulating Safety control device of grid simulation；
Wherein above-mentioned Security Checking application aspect shields bottom communication technology needed for realizing data exchange and using processing
Specific method supports the transmission of application request message and response results information from transmission；Security Checking service is with interface function
Form information exchange mechanism is provided, meet each application function to the inquiry of Security Checking service, monitoring, positioning and in wide area model
The service access that encloses and shared；The parallel computation service of grid operation data analysis system is called in Security Checking application, passes through mark
Quasi- interface realizes the interaction with cluster computing resource；Parallel computation service support predistribution and dynamic allocation two ways, safety
The calculation amount of check dynamic change according to the demand of application, by the way of dynamic allocation；Security Checking server-side receives meter
After calculating request, calculation amount is estimated according to content is calculated, is given then in conjunction with the priority and the determination of parallel computer group resource of calculating
This calculates the number of servers of distribution, so that multi-task parallel be supported to calculate；Check is determined by calculating cover time section first
Then section number carries out the various safety analyses largely based on setting fault set for each check section；Safe school
Core is parallel using example, and the distribution of computation tasks of high-ranking officers' cross section nuclear Load flow calculation task and safety analysis fault scanning is counted to parallel
On each central processing unit core for calculating a group of planes；
The data inputted in Load flow calculation include: that electric network model, system loading prediction and bus load prediction, equipment state become
Change plan, generation schedule, tie line plan, save total exchange plan and scheduling operation information；
United Dispatching, principle of administration by different levels are carried out in domestic operation of power networks, and power grids at different levels are responsible for adjusting the planning in scope tube
And Security Checking；First by state's tune, the fixed transregional tie line plan of point modulation and the total exchange plan of province, power generation calmly then is modulated by saving
Plan；In plan implementation procedure, the transregional interconnection function between province is guaranteed by dispatcher and interconnection automatic power control system
Rate and plan are consistent；
The power flowcontrol based on multibreak face is expressed as follows:
Ptie(m)=Σk∈mPk=Psched tie(m)
In formula: Ptie(m) and Psched tieIt (m) is respectively that the trend active power of section m and plan active power, k ∈ m indicate category
In all branches of section m, PkFor branch active power relevant to section m；
It is accurately controlling transregional interconnection and is saving in discontinuity surface trend, according to the actual conditions of each department power grid, setting following 3 kinds
Mode distributes imbalance power；
1) imbalance power, setting homophony frequency brand-name computer group and the machine for having Automatic Generation Control function are undertaken by specified generating set
Group undertakes imbalance power in unit capacity ratio；
2) imbalance power is undertaken in the ratio of predicted value by bus load；
3) imbalance power is undertaken by specified unit and bus load；
When trend occurs in not convergent situation, using following adjustable strategies；
1) it uses and closes on period convergent power flow solutions as the Load flow calculation initial value for not restraining the period；
2) it when the error of voltage iteration is larger, adjusts voltage-controlled target and recalculates；On the whole by the bound of voltage
0.01,0.02,0.03 is moved or moved down, multiple voltage is formed and controls objective cross, concurrently recalculated using parallel computing platform；
3) when the error of phase angle iteration is larger, the selected strategy of distributed balancing machine is adjusted, increases unit or bus load is total
It is same to undertake active imbalance power；
According to the characteristic of different types of data collection itself, the Attribute transposition for including by data set is discontinuous attribute and continuous category
Property, using towards on different types of data collection large scale analysis rule calculate dynamic index, support analysis rule in real time more
Newly, process includes that index generates and real-time matching calculating；Generate index when, first to the property set of different types of data collection into
Row classification: connection attribute and discontinuous attribute；Then, the analysis rule collection of input is divided by different fortune according to attribute type
Operator set generates hierarchical index based on different operator set: generating y-bend according to the operator on discontinuous attribute and searches
Suo Shu is as the first layer index, and in the second layer, all connection attributes are mapped as hyperspace, relevant according to continuity attribute
Operator generates multi-dimensional indexing；Operator on discontinuous attribute is all discrete value, and the first layer index of generation is quickly fixed
On position to analysis rule, in the second layer of hierarchical index, the identical attribute operator of attribute is divided according to dimension and generates index,
When carrying out analytical calculation to the data set tuple t reached in real time, vector extraction is carried out to t first and cuts out calculating, after quantization
Vector obtains different operator vectors, the analysis rule method of the hierarchical index of utilization after the processing of operator attributive classification
The analysis rule collection of the condition of satisfaction is obtained by filtration by two-stage index；
From structure, hierarchical index includes 3 component parts and 3 operations；Wherein, 3 component parts are respectively: (1)
One layer of binary search tree hierarchical index, the multidimensional vector hierarchical index of (2) second layer, the pass of (3) analysis rule and operator
Join table；3 operations based on hierarchical index are respectively: (1) searching for, (2) insertion, (3) are deleted；
Hierarchical index is two layers of hierarchical index；First layer is that the binary search tree generated by discontinuous operator indexes, second
Layer is the hyperspace tree for according with corresponding multidimensional vector according to consecutive operations and generating, and in addition 1 is analysis rule AND operator
Contingency table, for completing the Rapid Combination of two layer index analysis rule results；
Node in hierarchical index is divided into 3 classes: first floor node top, the intermediate node mid and leaf node leaf of the second layer；?
Include following element in first floor node: attr is the corresponding discontinuous attribute of first floor binary search tree node, and value is the y-bend
The corresponding discrete value of tree node is searched for, weight is the priority of the operator of the node on behalf, and left, right are the section
The left and right child nodes of point；In intermediate node: branch represents in the corresponding hyperspace tree construction of the second layer index
Intermediate node pointer；In leaf node: mbr is the corresponding multidimensional vector of second layer leaf node.
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| CN105956760B (en) * | 2016-04-27 | 2019-12-06 | 河海大学 | Intelligent power distribution network situation perception method based on multivariate time-space information modeling |
| CN106058906B (en) * | 2016-05-15 | 2019-07-05 | 国电南瑞科技股份有限公司 | A method of voltage interacts under evaluation extra-high voltage direct-current layer-specific access mode |
| CN107181284B (en) * | 2017-04-24 | 2021-04-16 | 中国电力科学研究院 | Method and device for adjusting out-of-limit electric quantity of circuit |
| CN107425825A (en) * | 2017-07-24 | 2017-12-01 | 温州长江汽车电子有限公司 | A kind of algorithm for the filtering of vehicle electronics sensor voltage signal |
| CN109961160B (en) * | 2017-12-14 | 2024-01-19 | 中国电力科学研究院有限公司 | Power grid future operation trend estimation method and system based on tide parameters |
| CN111756031B (en) * | 2019-03-29 | 2023-11-03 | 中国电力科学研究院有限公司 | Power grid operation trend estimation method and system |
| CN110336303B (en) * | 2019-07-12 | 2021-11-16 | 国家电网有限公司 | Power grid stability control regulation electronic analysis method and system |
| CN111244977B (en) * | 2020-01-19 | 2021-04-23 | 国网冀北电力有限公司电力科学研究院 | Three-phase unbalanced load grading iteration adjustment method based on low-voltage distribution network |
| CN113361108B (en) * | 2021-06-08 | 2022-09-30 | 国电南瑞科技股份有限公司 | Electric power system future time period simulation method and system based on real-time and predicted data |
| CN113872238B (en) * | 2021-09-26 | 2024-01-30 | 国网江苏省电力有限公司 | Automatic voltage control method and device for power system, electronic equipment and storage medium |
| CN114285089B (en) * | 2021-11-29 | 2023-08-29 | 中国华能集团清洁能源技术研究院有限公司 | Method and system for optimizing start-stop of thermal power generating unit in wind, light and fire storage system |
| CN115882456B (en) * | 2023-03-03 | 2023-05-23 | 浙江浙能能源服务有限公司 | Power control method and system based on large-scale power grid tide |
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