CN102890735A - Modeling method of strategy table and strategy table searching match of stable control device - Google Patents
Modeling method of strategy table and strategy table searching match of stable control device Download PDFInfo
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Abstract
The invention relates to a modeling method of a strategy table and strategy searching match of an electric network safety stable control device. A strategy stable and strategy searching match process is summed up in four elements such as current state, event, action and next state, a mapping relation is established for the four elements and elements of a limit state machine, and a mealy-type limit state machine digital model for the strategy table and the strategy searching match of the stable control device is formed; and the strategy table and the strategy searching match process is summed up into four elements of current state, event, action and next state and expressed by a uniform limit state machine digital model, so that the decoupling of the strategy table and strategy searching match process is realized, the flow of the software compilation and test can be simplified, the overall efficiency for implementing the stable control engineering is greatly improved, and direct theoretical evidence and technical support can be supplied for the standardized design of the stable control device.
Description
Technical field
The invention belongs to the Power System and its Automation technical field, relate to the modeling method of safety and stability control device of electric network Policy Table and decision search coupling.
Background technology
Regional stability control is the important means of guaranteeing the modern power systems safe and stable operation.The implementation of control decision generally is divided three classes: a off-line decision-premaking, real-time matching; The online decision-premaking of b, real-time matching; C calculates in real time, in real time control.Which kind of implementation no matter, the control strategy table all is the basic foundation of control, and stabilization control device is the main body that strategy is implemented, and the identification of the method for operation, the differentiation of state of disturbance and decision search, coupling and enforcement are the core contents of stabilization control device.
After the safe stability control device of regional power grid was disposed and finished, Secondary Development Work mainly concentrated on Policy Table's formulation and this two aspects are tested in establishment that the Policy Table searches for adapting software:
A. Policy Table's formulation is to utilize the electric system professional tool that electrical network is carried out emulation and stability analysis calculating, envision multiple possible fault scenes, comprise the method for operation, section tidal current and malfunction etc., control measure are stablized in checking repeatedly, as the measures such as machine, cutting load or off-the-line of cutting are to the effect of safeguarding the stabilization of power grids and obtain final control strategy table.
B. the Policy Table search for the coupling be to write stability control device software according to set Policy Table.This software is by the identification to fault scenes, and contrast Policy Table's respective entries is searched for and mated, and obtains corresponding control measure and also implements.After software programming was finished, research and development, engineering and user will carry out a series of test, and the leak on the discovery software is also made amendment, and also will carry out last test job according to the Policy Table before putting into operation in the scene again.In whole steady control engineering, control strategy is relatively variable part, if the Policy Table needs to revise or adjust, said process will re-start.And Policy Table's revision happens occasionally in the middle of whole engineering, operation department wants often to carry out stability analysis calculating and Policy Table's renewal according to the variation of power system operating mode and structure, the decision search software of stability control device also will carry out corresponding secondary development, can stabilized control system be controlled according to correct enforcement of set strategy, its key issue is that whether the decision search adapting software flow process in the stability control device is correct, whether logic is tight, this all can relate to a large amount of programmings, test and checking work usually, system is more complicated, and this problem is more outstanding.Along with the electric system scale constantly enlarges, the increasing and the increase of the device quantity that puts into operation of tactful complicacy, the Secondary Development Work of surely controlling engineering is faced with huge challenge.
Practical experience shows, because the coupling of control strategy table and decision search adapting software is stronger, has caused a large amount of Secondary Development Work in the tactful rear steady control engineering construction that changes.Deal with Protean Stable Control Strategy if can set up a kind of unified model, will effectively reduce second-time development workload.
Summary of the invention
The objective of the invention is: for the characteristics of electricity net safety stable control strategy table and decision search coupling, set up the unified mathematical model of a kind of safety and stability control device of electric network Policy Table and decision search coupling, especially form the Policy Table of stability control device and the Mealy type finite state machine mathematical model of decision search coupling, this modeling method has realized the decoupling zero of Policy Table and decision search coupling, simplified the flow process of software programming and test, thereby greatly improve the whole efficiency of steady control engineering construction, the while also provides direct theoretical foundation and technical support for the standardized designs research of stability control device.
The technical scheme that the present invention takes is: the modeling method of safety and stability control device of electric network Policy Table and decision search coupling, Policy Table and decision search matching process are summarized as existing attitude, event, action and next state four dvielements, set up mapping relations with the element of finite state machine, form the Policy Table of stability control device and the Mealy type finite state machine mathematical model of decision search coupling.
Modeling method basic ideas and the step of the Policy Table of electrical network stability control device and decision search coupling are as follows:
(1) Policy Table and decision search matching process are summarized as existing attitude, event, action and next state four dvielements:
A. attitude now: the set that is the current running status of electrical network that formed by contents such as topological structure, trend section, operation pressing plates;
B. event: be fault, tripping operation, overload, overfrequency, overvoltage, low frequency, the low pressure by electric system, phase place changes, trend shifts, circuit is thrown and moved back, startup and shutdown of units, distant place order, switch changed position, pressing plate are thrown and moved back etc. the set that sequence of events forms.
C. action: driven by sequence of events, cause the response process of running status from " existing attitude " to " next state " migration, and driven by sequence of events, cause under " now attitude ", taking to stablize control measure; Also can comprise response process.
D. next state: driven by sequence of events, cause running status from " existing attitude " to " next state " migration, for " existing attitude ", in a single day " next state " is activated " next state ", just has been transformed into new " existing attitude ".
(2) element of above-mentioned four dvielements and finite state machine is set up mapping relations, form the Policy Table of stability control device and the Mealy type finite state machine mathematical model of decision search coupling.
Mealy type finite state machine is a 6-tuple, represents with M
M=(S，S0，∑，∧，T，G) （1）
In the formula (1):
S:S={S
0, S
1..., S
nThe finite aggregate of state;
S0: expression original state, and S0 ∈ S;
∑: ∑={ σ
0, σ
1..., σ
nThe finite aggregate of incoming symbol;
∧: ∧={ δ
0, δ
1..., δ
nThe finite aggregate of output symbol;
T: the expression transfer function, (S * ∑ → S);
G: the expression output function, (S * ∑ → ∧);
Above-mentioned 6-tuple has comprised one group of state set, original state, one group of incoming symbol collection, one group of output symbol collection, mapping incoming symbol and current state to the computation model of the transfer function of NextState and the computation model of output function.
Set up the mapping relations between the Mealy state machine model of surely controlling the statement of Policy Table and formula (1), as shown in table 1
Mapping relations between table 1 steady control Policy Table and the Mealy state machine model
Obtain at last by above method, forming strategies table and the Mealy state machine model of searching for matching process, its expression formula is as follows:
M=(running status collection, current running status, disturbance event collection, control measure collection, state transition function, decision search function) (2)
By above-mentioned analysis, Policy Table's content of explaining in formula (2) model can be classified as three classes:
A. running status;
B. disturbance event and control measure;
C. state transition and decision search.
Wherein: running status represents the various states of state machine (FSM), and running status and disturbance event are the inputs of FSM, and control measure are the output of FSM, and state transition and decision search are the processes of strategy matching, is the action of FSM.
Policy Table and decision search matching process are summarized as existing attitude, event, action and next state four dvielements:
A. attitude now: the set that is the current running status of electrical network that formed by contents such as topological structure, trend section, operation pressing plates;
B. event: be fault, tripping operation, overload, overfrequency, overvoltage, low frequency, the low pressure by electric system, phase place changes, trend shifts, circuit is thrown and moved back, startup and shutdown of units, distant place order, switch changed position, pressing plate are thrown and moved back etc. the set that sequence of events forms.
C. action: driven by sequence of events, cause the response process of running status from " existing attitude " to " next state " migration, driven by sequence of events, cause under " existing attitude ", taking to stablize the response process of control measure.
D. next state: driven by sequence of events, cause running status from " existing attitude " to " next state " migration " next state " for " existing attitude " " next state " in a single day be activated, just be transformed into new " now attitude ".
Policy Table's content substitution formula (2) is got:
M=（{S，s}，{s}，{f}，{x，y}，{s×f->S}，{s×f->{x,y}}） （3）
In the formula (3), running status, S, s}, and s}, { { x, y} are static contents to disturbance event, and be just relatively fixing after the Policy Table forms for f} and control measure; Adopt Object-oriented Technique, will S, s}, s}, f}, x, and the y} content is with the formal representation of abstract class, and the policy table entry of various similar isomeries is all concluded to finish by the instantiation of object.
The invention has the beneficial effects as follows:
1) the present invention is directed to the Policy Table of safety and stability control device of electric network and a kind of modeling method of decision search coupling.The method has been analyzed the characteristics that the electricity net safety stable control strategy is realized, Policy Table and decision search matching process are summarized as existing attitude, event, action and next state four dvielements, utilize the finite state machine principle that it is carried out mathematical modeling, the Mealy type finite state machine mathematical model of the Policy Table of the stability control device that forms and decision search coupling, take the decision search matching status machine model of finite state machine as the standardization stability control device of basis formation, clear physics conception, logical relation is clear and definite, expression-form is succinct, and is very identical with the dynamic process of real system.
2) the inventive method has realized the decoupling zero of electricity net safety stable control strategy predicative decision search coupling, is convenient to establishment and the test of software, has alleviated the second-time development workload of steady control engineering, thereby has greatly improved the whole efficiency of engineering construction.
3) the inventive method progressively forms complete steady control engineering development and the instrument chain of test with the steady detection test system based on fault scenes, and the while also provides theoretical foundation and technical support for the standardized designs research of stability control device.
Description of drawings
The state machine diagram of Fig. 1 control strategy.
Embodiment
Take a typical control strategy as example:
Certain electric pressure interconnection first, second is two backhauls capable S, and break down " f " single loop line tripping causes other loop line overload s, needs excision the third brand-name computer group " x " platform, fourth station load " y " MW.The substitution of above-mentioned Policy Table's content
Formula (2):
M=（{S，s}，{s}，{f}，{x，y}，{s×f->S}，{s×f->{x,y}}） （3）
In the formula (3), running status, S, s}, and s}, { { x, y} are static contents to disturbance event, and be just relatively fixing after the Policy Table forms, and expression and processing are comparatively simple for f} and control measure; And the matching process of search control measure s * f-〉S}, s * f-〉and x, y}} are dynamic, need to provide control measure in conjunction with the current method of operation according to disturbance input, and this part deals with comparatively complicated, be workload greatly and the link of makeing mistakes easily.
Statement by the FSM model can find out, and S, s}, s}, f} become s * f-〉S}, s * f-〉and x, the input of y}, x, y} become s * f-〉S}, s * f-〉{ x, the output of y} have realized the decoupling zero of tactful content and search coupling.
In the actual software compilation process, adopt Object-oriented Technique, will S, s}, s}, f}, x, and the contents such as y} are with the formal representation of abstract class, and the policy table entry of various similar isomeries can be finished by the instantiation of object.State transition and decision search s * f-〉S}, s * f-〉and x, the realization of y} function is complicated work originally, and under the traditional approach, this part coding is manually finished, and not only task is heavy but also make mistakes easily, and logic testing and code walkthrough are all very loaded down with trivial details.But fortunately because the widespread use of state machine, complete theoretical system and a series of powerful design tool have been formed, can be by the design of visualization interface completion status machine, the commercial design tool that has can directly generate the C code of optimizing, and can automatically finish test and the verifying work of various complex logics, guarantee not only strict logic but also carry out efficient of the code that forms.The code that generates is packaged into functional form is transplanted in the program of stability control device, just finished software development work.But the also custom-made exploitation of above-mentioned design tool, specific aim can be better.
As adopt state machine tool design strategy, and at first create the engineering of a System by name, then create the policy entry of Table1 by name, go out various states, event and action according to Policy Table's content design again, and accordingly parameter, input and output.As shown in Figure 1:
State1: represent the operation of the first and second double loops;
State2: represent line down tripping operation, another loop line operation;
State3: represent single loop line overlond running.
Single line down (OneLineFault) causes system state to move to State2 from State1, (Overload) system state is moved to State3 from State2 after singly backhauling the row overload, take (LoadSheddingAndGeneratorTripping) after the action of unit shut algorithm, system state is moved to State2 from State3.Wherein, if coincidence (Reclose) is arranged after the fault, then system state can turn back to State1.
Shown in Figure 1, the various functions of executing state machine design tool can the completion status machine the generation of checking, C code and header file, code is put in order a little, be embedded into again to adjust in the steady control master routine and just finished code development, can enter policy validation and the test link of actual device.
4. compliance test result
Process above-mentioned strategy with traditional programming mode, need to draw first process flow diagram or logic diagram, then write code and debugging, whole process generally needed for 2.5 man-hours, and adopt the whole process of state machine design instrument only to need for 0.5 man-hour, saved a large amount of development times.In addition, also have a larger benefit, the strategy with text description has become succinctly intuitively avatars exactly, and strategic process is very clear, has finished constitutional diagram and has just finished writing of core code.Particularly in strategy adjustment and the modification process, state machine design has more advantage.At first will revise logic diagram under the traditional approach, encode after discussion and the inspection again, even the logical design of block diagram is correct sometimes, but the coding link still can produce mistake, and this all is situation about happening occasionally in the performance history; And the core logic that adopts state machine to develop, as long as constitutional diagram designs correctly and just can guarantee by automatic Verification the correctness of code logic.Instrument also provides perfect filing and management function simultaneously, is convenient to the maintenance of engineering, no longer launches as space is limited to discuss herein.Obviously, finishing decision search and coupling with the state machine design instrument, is the lifting that programming efficiency or the management of code all have matter, thereby has promoted efficiency of the practice and the quality of whole steady control engineering.
Claims (3)
- Safety and stability control device of electric network Policy Table and decision search the coupling modeling method, it is characterized in that Policy Table and decision search matching process are summarized as existing attitude, event, action and next state four dvielements, set up mapping relations with the element of finite state machine, form the Policy Table of stability control device and the Mealy type finite state machine mathematical model of decision search coupling; Step is as follows:(1) Policy Table and decision search matching process are summarized as existing attitude, event, action and next state four dvielements:A. attitude now: the set that is the current running status of electrical network that formed by contents such as topological structure, trend section, operation pressing plates;B. event: be fault, tripping operation, overload, overfrequency, overvoltage, low frequency, the low pressure by electric system, phase place changes, trend shifts, circuit is thrown and moved back, startup and shutdown of units, distant place order, switch changed position, pressing plate are thrown and moved back etc. the set that sequence of events forms;C. action: driven by sequence of events, cause the response process of running status from " existing attitude " to " next state " migration, and driven by sequence of events, cause under " now attitude ", taking to stablize control measure; Also can comprise response process;D. next state: driven by sequence of events, cause running status from " existing attitude " to " next state " migration, for " existing attitude ", in a single day " next state " is activated " next state ", just has been transformed into new " existing attitude ".(2) element of above-mentioned four dvielements and finite state machine is set up mapping relations, form the Policy Table of stability control device and the Mealy type finite state machine mathematical model of decision search coupling;Mealy type finite state machine is a 6-tuple, represents with MM=(S，S0，∑，∧，T，G) （1）In the formula (1):S:S={S 0, S 1..., S nThe finite aggregate of state;S0: expression original state, and S0 ∈ S;∑: ∑={ σ 0, σ 1..., σ nThe finite aggregate of incoming symbol;∧: ∧={ δ 0, δ 1..., δ nThe finite aggregate of output symbol;T: the expression transfer function, (S * ∑ → S);G: the expression output function, (S * ∑ → ∧);Above-mentioned 6-tuple has comprised one group of state set, original state, one group of incoming symbol collection, one group of output symbol collection, mapping incoming symbol and current state to the computation model of the transfer function of NextState and the computation model of output function;Set up the mapping relations between the Mealy state machine model of surely controlling the statement of Policy Table and formula (1), as shown in table 1Mapping relations between table 1 steady control Policy Table and the Mealy state machine model
Obtain at last by above method, forming strategies table and the Mealy state machine model of searching for matching process, its expression formula is as follows:M=(running status collection, current running status, disturbance event collection, control measure collection, state transition function, decision search function) (2). - The Policy Table of stability control device according to claim 1 and decision search the coupling modeling method, it is characterized in that: Policy Table and decision search matching process are summarized as existing attitude, event, action and next state four dvielements:A. attitude now: the set that is the current running status of electrical network that formed by contents such as topological structure, trend section, operation pressing plates;B. event: be fault, tripping operation, overload, overfrequency, overvoltage, low frequency, the low pressure by electric system, phase place changes, trend shifts, circuit is thrown and moved back, startup and shutdown of units, distant place order, switch changed position, pressing plate are thrown and moved back etc. the set that sequence of events forms.C. action: driven by sequence of events, cause the response process of running status from " existing attitude " to " next state " migration, driven by sequence of events, cause under " existing attitude ", taking to stablize the response process of control measure.D. next state: driven by sequence of events, cause running status from " existing attitude " to " next state " migration " next state " for " existing attitude " " next state " in a single day be activated, just be transformed into new " now attitude ".
- 3. the modeling method of the Policy Table of stability control device according to claim 1 and decision search coupling is characterized in that: with Policy Table's content substitution formula (2):M=（{S，s}，{s}，{f}，{x，y}，{s×f->S}，{s×f->{x，y}}） （3）In the formula (3), running status, S, s}, and s}, { { x, y} are static contents to disturbance event, and be just relatively fixing after the Policy Table forms for f} and control measure; Adopt Object-oriented Technique, will S, s}, s}, f}, x, and the y} content is with the formal representation of abstract class, and the policy table entry of various similar isomeries is all concluded to finish by the instantiation of object.
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| CN103513576A (en) * | 2013-10-29 | 2014-01-15 | 南京南瑞集团公司 | Bidirectional interaction method of E-format stability control scheme in intelligent stability control system |
| CN103576562A (en) * | 2013-11-07 | 2014-02-12 | 国家电网公司 | Electric power system stability control strategy on-line simulation calibration method |
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| CN109189014A (en) * | 2018-08-27 | 2019-01-11 | 云南电网有限责任公司电力科学研究院 | A kind of electric power safety stability contorting equipment on-line combined debugging system and method |
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| CN114118019B (en) * | 2022-01-27 | 2022-05-17 | 温州电力建设有限公司 | Stability control strategy normalization design method and system based on XML |
| CN115630090A (en) * | 2022-12-20 | 2023-01-20 | 宜科(天津)电子有限公司 | Task state conversion system |
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