CN102983629A - Auxiliary decision-making method for on-line power system restoration - Google Patents

Abstract

The invention relates to an auxiliary decision-making method for on-line power system restoration. The auxiliary decision-making method comprises the following steps: reading electric grid initial data; setting imitation environment; choosing a black-start power source; generating a black-start restoration route; restoring an electric grid based on an optimum restoration route; and managing computing results. The system and the method fully utilize real-time data such as remote signaling, remote measuring and electric grid topological information in a dispatching automation system and quickly generate the power system restoration route and a restoration scheme, and therefore when power system serious power cut accidents happen, the system and the method can assist dispatching operational workers to carry out system restoration operation, shorten time of power cut to the maximum and reduce loss caused by the power cut. In addition, the system and the method have an important in national economic stability and also reduce working intensity and working pressure of the dispatching workers to the maximum.

Description

A kind of online power system recovery aid decision-making method

Technical field

The present invention relates to field of power, be specifically related to a kind of online power system recovery aid decision-making method.

Background technology

In recent years, along with increasing new technology, new equipment drop into electric power system, when improving power system operation ability and efficient, also be security of system and the stable huge challenge that brings.The individual problem of partial electric grid if deal with the scope that very easily widens one's influence improperly, even leads to large-area power failure.How after electrical network is had a power failure on a large scale accident, fast recovery of power supply, tool is of great significance.

Current, the common way of power system blackstart is to study and define out feasible black launch emergency provision by experienced management and running expert in advance according to the concrete condition of system both at home and abroad, or calculate feasible black launch emergency provision by off-line system, help dispatcher's recovery system operation when system blackout.But the accident in the recovery process and some uncontrollable factors also might make the part rules of prior formulation no longer applicable, cause interruption, delay even the failure of black start-up course.

The maximum characteristics of intelligent scheduling are exactly that the scheduling back-up system has quite high intelligent level, and good adaptability and interactivity.The online power system recovery auxiliary decision technology that possesses adaptive ability can be at any time according to the system mode in the recovery process, recovery policy is carried out rapid adjustment, adapt to various unexpected variations, farthest alleviate dispatcher's working strength, improve the automatization level of power system dispatching.

Summary of the invention

For the deficiencies in the prior art, the invention provides a kind of online power system recovery aid decision-making method, the method embodies the rapidity of power system recovery aid decision, accuracy and reliability, take full advantage of already present remote signalling in the dispatch automated system, the real time datas such as remote measurement and power network topology information, quick generating power system restoration path and scheme, can after occuring, the electric power system accident of having a power failure on a large scale the auxiliary dispatching operations staff carry out system's recovery operation, farthest shorten interruption duration, the loss that reduces to have a power failure and bring, notional economic stability is had important function, and at utmost alleviate dispatcher's working strength and operating pressure.

The objective of the invention is to adopt following technical proposals to realize:

A kind of online power system recovery aid decision-making method, described power system recovery aid decision comprises real-time mode and research mode; Described real-time mode refers to obtain have a power failure on a large scale real-time grid state after the accident of electric power system from fundamental information platform; Described research mode refers to the artificial power failure running status of setting simulation on the basis that primary data reads;

Its improvements are that described method comprises the steps:

A, read the electrical network primary data;

B, simulated environment setting;

C, the black power supply that starts of selection;

D, the black restoration path that starts of generation;

E, whole electrical network is recovered based on the optimized database restore path;

F, management of calculated results.

Wherein, in the described steps A, adopt the primary data read module to read the electrical network primary data; Described primary data comprises real time execution profile data, history run profile data and following mode profile data.

Wherein, the real time execution profile data reflection real-time grid model running state that reads; Described real time execution profile data reads the real-time grid model from state estimation, is used for the operational mode of the current electrical network of analytic statistics, or the basic section that arranges as simulated environment.

Wherein, the history run profile data reflecting history electric network model running status that reads; From the historical data event of preserving, obtain electrical network history run profile data, as analysis section.

Wherein, the following mode profile data that reads reflects following electric network model running status; Read the maintenance scheduling data, on the basis of current real time data section, according to maintenance scheduling, load prediction data the following mode data section of generation is set, be used for analyzing the power system operating mode that maintenance scheduling causes.

Wherein, among the described step B, adopt simulated environment that module is set simulated environment is arranged; Described simulated environment setting is included under the electrical network research mode; Refer on the basis of real-time, historical or following mode profile data destination object be carried out the switching setting, the state of full cut-off fault occurs in acquisition simulation actual electric network subregion, namely deceives to start the required initial operation of power networks state of path generation.

Wherein, described simulated environment setting is by man-machine interface, realize in the mode of man-machine interaction; Described simulated environment setting comprises following manner:

A, the regional full cut-off mode of setting: the different range according to different user is paid close attention to has a power failure by the selected overall region full cut-off of area tabulation or partial electric grid;

B, main grid structure figure set-up mode: on electrical network main grid structure figure, electric network state is arranged;

C, element and switch tabulation set-up mode: the state to electric equipment element and switch arranges separately; The setting of electric equipment element is that the switching of element is selected, and lists by type electric equipment element in the electric power system with the form of form; The setting of switch element is that the folding condition to switch arranges, and lists the folding condition of all switch elements in the electric power system with the form of form, and changes the folding condition of switch element in form.

Wherein, after simulated environment arranges the initial path generation, make electric network state return to initial condition by the ground state restore funcitons.

Wherein, among the described step C, adopt the black power supply that starts to select module to select the black power supply that starts; After described black startup refers to that electric power system hinders stoppage in transit for some reason, do not rely on external electrical network, by having the startup of self-startup ability unit in the electric power system, the unit that drives non self starting enlarges the scope of power system recovery, realizes the process of the recovery of electric power system; Described black startup power supply refers to that electric power system hinders for some reason collapse and stops transport when being in complete " deceiving " state, does not rely on external electrical network, self has the unit of self-startup ability; Described black startup power supply comprises that Hydropower Unit, gas turbine, HVDC light system, generation of electricity by new energy, little unit Active Splitting are isolated island.

Wherein, among the described step C, the black power supply that starts of described selection comprises:

(1) assessment of black startup power supply is chosen;

(2) the black power source planning that starts.

Wherein, in described (1), realize deceiving the startup assessment according to evaluation index and choose; Described evaluation index comprises timeliness index, structural index, economic index and reliability index.

Wherein, described timeliness index comprises:

Black start unit start-up time, unit be s second;

The black capacity that starts unit, unit is megawatt MW;

Be activated at first power plant's total capacity of unit, unit is megawatt MW;

The black unit that starts is to the path that is activated at first between the unit, and unit is km;

The black unit that starts is to the primary equipment coefficient of performance that is activated at first between the unit, and unit is inferior.

Wherein, described structural index comprises:

The black unit that starts is to the path that is activated at first between the unit, and unit is km;

The black unit that starts is to the primary equipment coefficient of performance that is activated at first between the unit, and unit is inferior;

The black closeness of loading around the unit that starts, unit be individual.

Wherein, described economic index comprises black starting device overall life cycle cost, and unit is ten thousand yuan.

Wherein, described reliability index comprises: the black unit that starts is to being activated at first primary equipment coefficient of performance between the unit, blackly starting reliability that power supply successfully opens, being activated power source bus side overvoltage multiple, deceiving initial start stage mini system frequency departure percentage and be activated power plant's busbar voltage and depart from percentage.

Wherein, if black startup power supply is power plant, power plant's technical characteristic and self-excitation characteristic are further checked; If black startup power supply is current conversion station, does not then carry out the self-excitation characteristic and check; If the black power generation self-excitation that starts reselects the black power supply that starts.

Wherein, in described (2), the black power source planning that starts adopts Mathematical Modeling to represent that described Mathematical Modeling is as follows:

minf(X,Y,Z)

s.t.h _i(X,Y,Z)≤a _i

g _j(X,Y,Z)≥b _j

k _m(X,Y,Z)≤d _m

Z≥0,X≥0,Y≥0①；

Wherein: f (X, Y, Z) is target function, and this black total social cost that starts Power supply alteration is used in expression; X is the unit correlated variables; Y is the network correlated variables; Z is for affecting the environmental factor of cost; S.t. refer to constraints; Wherein, h _i(X, Y, Z) represents first constraint: be the construction constraint of power construction; a _iExpression site area limit value; g _j(X, Y, Z) represents second constraint: be the unit operation constraint, the black starting power that starts power supply of expression is not less than the power of the assembling unit that current time consumes; b _jThe power of the assembling unit that the expression current time consumes; k _mRepresent the 3rd constraint: be time-constrain, namely start successfully to being activated maximum duration that the unit starting success will experience from it and retrain and be no more than limit value; d _mBe the time limit value.

Wherein, among the described step D, adopt the black restoration path automatically-generating module that starts to generate the black restoration path that starts; Determine from the black power supply that starts to the selected optimized database restore path that is activated the power supply, recovery makes it as the startup power supply of node (node refers to except black power supply and power plant, load and the transformer station etc. that are activated the power supply of starting) to the power supply of thermal power plant in the electric power system.

Wherein, among the described step D, the black restoration path that starts of described generation comprises the steps:

I, determine to be activated power supply;

II, employing initial path searching algorithm obtain from the black power supply that starts to the feasible electrical path that is activated power supply;

III, filter out the electrical path by the feasibility verification;

IV, definite from the black power supply that starts to the path that is activated power supply combination property optimum is the optimized database restore path.

Wherein, among the described step I, the described power acquisition fired power generating unit that is activated.

Wherein, in the described Step II, adopt rule-based initial path searching algorithm, obtain from the black power supply that starts to the feasible electrical path that is activated power supply.

Wherein, described initial path searching algorithm is followed following rule:

1) voltage transitions number of times restriction principle: the voltage transitions number of times in the black start-up course of control;

2) path restriction principle: the black restoration path length that starts of restriction;

3) factory station restriction principle;

4) capacity limits principle: required minimum load and recovers jumbo unit less than starting exerting oneself of unit when being activated unit starting;

5) important load priority principle;

6) minimal time principle: the unit of selecting to be in hot stand-by duty;

7) avoid the loop principle: to the path that is activated unit, do not have loop from starting unit.

Wherein, among the described Step II I, the Interventions Requested of described feasibility verification comprise: the verification of generator self-excitation, low-frequency oscillation verification, power-frequency overvoltage verification, switching overvoltage verification and the verification of electric voltage frequency stability.

Wherein, among the described step IV, to assessing by all black startup restoration paths of feasibility verification and sorting, select from the black power supply that starts to the path that is activated power supply combination property optimum; Evaluation index is selected voltage transitions number of times, path, start-up time, is activated unit capacity, the good and bad degree of technology verification and be activated the priority level of power supply, and the good and bad index of technology verification wherein is that summation after generator self-excitation, power-frequency overvoltage multiple, switching overvoltage multiple, variation, the frequency shift (FS) normalization is obtained.

Wherein, in the described step e, adopt the power system recovery module that the electrical network based on the optimized database restore path is recovered; Comprise transformer station in the electric power system and the recovery of transmission line; Preferential startup comprises the node of important load in recovery process, and at Power System Restoration Process medium frequency voltage stabilization.

Wherein, in the described step e, in the described step e, the whole electrical network based on the optimized database restore path is recovered to comprise the steps:

I, startup important load and large load; (important load and large load all are to select according to actual condition)

Ii, whether judge to recover behind described important load and the large load near load capacity; (if near load capacity, then call the knapsack optimized algorithm, determine the recovery order of other loads)

Iii, call the knapsack optimized algorithm, select Optimal Load;

Iv, start described Optimal Load, judge whether power system frequency voltage is stable; (Optimal Load refers to calculate by knapsack algorithm, calculates it is restored electricity whether satisfy the power system voltage frequency stability)

Whether v, judgement are finished based on the power system recovery in this optimized database restore path;

Vi, judge whether whole electric power system optimized database restore path finishes.

Wherein, in the described step I, described important load and large load define according to actual condition.

Wherein, among the described step I i, if behind described recovery important load and the large load near load capacity, then carry out step I ii; Otherwise, return step I; Judge condition near load capacity be important load and large load whether reach unit capacity 90%.

Wherein, among the described step I v, if the power system frequency voltage stabilization carries out then that the whole network is black to be started, otherwise carry out power system frequency and voltage control, make it reach stable or select other loads to re-start judgement.

Wherein, among the described step v, if the power system recovery in optimized database restore path is finished, then return step I i; Otherwise carry out step vi.

Wherein, among the described step vi, if finish in whole electric power system optimized database restore path, then export the power system restoration result, otherwise, reselect the optimized database restore path.

Wherein, in the described step F, the data that employing management of computing module obtains after the power system recovery aid decision is calculated manage and show; Comprise: recovery process Dynamic Display, power system recovery analysis report are derived, the transient voltage waveform shows, the section result preserves, the examination Information Statistics.

Compared with the prior art, the beneficial effect that reaches of the present invention is:

A kind of online power system recovery aid decision-making method provided by the invention, real-time grid state or the artificial power failure running status of setting simulation are used as electrical network initial launch state after the accident of the electric power system that fundamental information platform obtains can being had a power failure on a large scale, automatically deceive start Power Selection, crucial restoration path generate, sequentially definite based on system's recovery of optimum critical path, and can inquire about in detail result of calculation, Dynamic Display, reporting printing.

The method is based on regional intelligent grid supporting system technology (D5000), take full advantage of remote signalling, remote measurement and the network topological information of control centre's jurisdiction equipment and combine with the Remote Control Interface of substation automation equipment, can under real-time mode or research mode, carry out generation, the inquiry and displaying of power system recovery scheme.Can after having an accident, electrical network instruct the management and running personnel to carry out the whole system recovery operation, or carry out power outage simulation daily, improve the management and running personnel to the adaptibility to response of accident, dispatcher's psychological pressure and working strength when alleviating the accident generation, the automatization level of raising power system dispatching.

Description of drawings

Fig. 1 is online power system recovery aid decision structural representation provided by the invention;

Fig. 2 is primary data read structure schematic diagram provided by the invention;

Fig. 3 is the structural representation that simulated environment provided by the invention arranges;

Fig. 4 is the structural representation of black startup Power Selection provided by the invention;

Fig. 5 is black startup unit evaluation index structure chart provided by the invention;

Fig. 6 is the structural representation that initial restoration path provided by the invention generates;

Fig. 7 is the structural representation that main grid structure provided by the invention recovers;

Fig. 8 is the structural representation of management of calculated results provided by the invention;

Fig. 9 is online power system recovery aid decision-making method flow chart provided by the invention.

Embodiment

Below in conjunction with accompanying drawing the specific embodiment of the present invention is described in further detail.

A kind of online power system recovery aid decision-making method, can be according to actual motion state or the artificial simulation power failure environment of setting of interconnected electric power system generation power outage, by choosing suitable black startup power supply, automatically generate the black power supply that starts to the path that is activated combination property optimum between the power supply, and paths starts full electric network thus, and then realizes the recovery of whole electric power system.

The below is described term:

1) the black startup: after whole system hinders stoppage in transit for some reason, do not rely on the help of other networks, by having the startup of self-startup ability unit in the system, drive the scope of gradually expansion system of the unit recovery of non self starting, finally realize the process of the recovery of whole system.

2) the black power supply that starts: refer to that whole system hinders for some reason collapse and stops transport when being in complete " deceiving " state, do not rely on external electrical network, self have the unit of self-startup ability.The black power supply that starts is chosen usually: Hydropower Unit, gas turbine, HVDC light system, generation of electricity by new energy, little unit Active Splitting are isolated island etc.

3) restoration path: the sequencing that each node (power plant, transformer station etc.) recovers.

4) feasibility verification: the initial path that automatic search is generated carries out verification, the path that verification is not satisfied in deletion.Mainly comprise: self-excitation verification, switching overvoltage verification, electric voltage frequency skew etc.

5) evaluation index: all feasible paths are carried out comprehensive performance evaluation and ordering, in order to pick out optimum, and the feasible path of suboptimum.Usually choose voltage transitions number of times, path, start-up time, be activated unit capacity, the good and bad degree of technology verification and be activated 6 indexs such as priority level of power supply, the good and bad index of technology verification wherein is that summation after the normalization of every technology check results is obtained.

6) main grid structure recovers: to the critical path that is activated between the power supply, progressively main force's generating set, important transformer station and the part transmission line in the start-up system comes progressively recovery system main grid structure according to the black startup power supply that generates.This part work comprises two parts: the one, set up the target rack, and the 2nd, establish concrete recovery order.

7) load restoration: when fired power generating unit oneself through starting and have certain generating capacity, and set up after the comparatively stable rack, begin gradually the stage of recovering to load.Load restoration stage main target is to recover as soon as possible load as much as possible, and constraints mainly comprises the thermally-stabilised of voltage, circuit, transformer, and system frequency.

8) network topology analysis: according to connectivity and the power supply state of real-time device state analysis grid equipment, and consist of bus model to support senior application function and to show connection in user interface.The network topology analysis is the prerequisite of various application software, such as dynamic coloring, and state estimation, trend is calculated, voltage and reactive power optimization, accident analysis and dispatcher's simulation training etc.Important requirement of Power Network Topology Analysis is exactly real-time and rapidity, when changing in the position of circuit breaker, disconnecting link, can provide the topological analysis result of electrical network at once, and the topology coloring of electrical network changes at once.

Online power system recovery aid decision structural representation provided by the invention comprises the electrical network initialization module as shown in Figure 1: by data acquisition and supervisor control SCADA real time data or by the simulated environment setting, and the electrical network initial launch state that obtains; The black power supply that starts is selected module: electrical network initial launch state is carried out topological analysis, select the black power supply that starts; The black restoration path automatically-generating module that starts: determine from the black power supply that starts to the selected optimized database restore path that is activated the power supply, and recover power supply to power plant of the main force in the electric power system, make it as the startup power supply of node; Power system recovery module: based on the optimized database restore path, to recovering of electrical network main frame and load; The management of calculated results module: the data that obtain after the power system recovery aid decision calculated manage and show.

The electrical network initialization module comprises: the primary data read module: read electrical network real time execution profile data, history run profile data and following mode profile data; Simulated environment arranges module: on the basis of real-time, historical or following mode profile data, destination object is carried out the switching setting, obtain the state that the full cut-off fault occurs in simulation actual electric network subregion, namely deceive the electrical network initial launch state that the startup restoration path generates.Destination object comprises power network line, bus, transformer, switch.

The invention provides a kind of online power system recovery aid decision-making method, the method comprises real-time mode and research mode, real-time mode obtains have a power failure on a large scale real-time grid state after the accident of electric power system from fundamental information platform, research mode is the artificial power failure running status of setting simulation on the basis that primary data reads, and consists of respectively two kinds of electrical network initial launch states under the pattern.Its basic function mainly comprises: the initial launch state is carried out topological analysis, utilize multiattribute evaluation decision method automatic evaluation to choose suitable black startup power supply; All deceive startup power supplys to the Rational Path that is activated between the power supply by the searching algorithm automatic search; The feasibility verification is carried out in all paths calculated, to assessing by the feasible black startup path of every verification and sorting, obtain optimum restoration path; On the basis in optimized database restore path, set up the target rack that main grid structure recovers the stage, and determine to return to the path of optimal objective rack, to recover as early as possible main grid structure and main load, enlarge the electrical network scale that restores electricity.After all calculating are finished, can recover analysis report by the automatic printing generation system, and can carry out Dynamic Display to system's recovery process.

Online power system recovery aid decision-making method flow chart provided by the invention specifically comprises the steps: as shown in Figure 9

A, read the electrical network primary data;

Adopt the primary data read module to read the electrical network primary data.The data of power system recovery aid decision read and mainly comprise and read the real time execution profile data, read the history run profile data and read following mode profile data, and its function is as follows respectively:

Real time execution profile data: read current electric network model from state estimation, can be used for the special operational mode of the current electrical network of analytic statistics, also can be used as the basic section that simulation arranges.

History run profile data: from the historical data event CASE that preserves, obtain electrical network history run profile data, as analysis section.

Following mode profile data: read the maintenance scheduling data, on the basis of current real time data section, according to maintenance scheduling, load prediction data the following mode data section of generation is set, be used for analyzing the special operational mode that maintenance scheduling may cause.This reads electrical network primary data structure schematic diagram as shown in Figure 2.

B, simulated environment setting;

Adopt simulated environment that module is set simulated environment is set.The simulated environment setting is the important subfunction that aid decision recovers in system under the research mode, refer on the basis of real-time, historical or following mode profile data, destination object (circuit, bus, transformer, switch) is carried out the switching setting, the state of full cut-off fault occurs to obtain simulation actual electric network subregion, and namely the black path that starts generates required initial operation of power networks state.

Simulated environment arranges function mainly by man-machine interface, realizes in the mode of man-machine interaction, comprises following three kinds of modes:

A, the regional full cut-off mode of setting: the different range according to different user is paid close attention to can have a power failure by the quick selected overall region full cut-off of area tabulation or partial electric grid, as the Central China Power Grid full cut-off is set, or Central China provincial power network has a power failure.

B, main grid structure figure set-up mode: can on main grid structure figure, arrange electric network state.Mode of operation is as follows: open certain grade of electrical network main grid structure figure, left mouse button is drawn a circle to approve power failure range at geographical wiring diagram, all factory stations and switch in the delineation scope can appear in the power failure range tabulation, can carry out the switch folding condition in the tabulation in batches or independent setting.

C, element and switch tabulation set-up mode: can the state of electric component and switch be arranged separately.The setting of electric equipment element is that the switching of element is selected, and lists by type electric equipment element all in the system (circuit, transformer, bus) with the form of form, and the switching state of all elements can be set; The setting of switch element is that the folding condition to switch arranges, and lists the folding condition of all switch elements in the system with the form of form, and can change the folding condition of all switch elements in form.

The management and running personnel can make electric network state be returned to fast initial condition by the ground state restore funcitons after doing the generation of simulation initial path, and personnel easy to use are repeatedly sunykatuib analysis calculating on same initial section, obtains the result who needs.The structural representation that simulated environment arranges as shown in Figure 3.

C, the black power supply that starts of selection;

Adopt the black power supply that starts to select module to select the black power supply that starts.The electrical network initial launch state that obtains by data acquisition and supervisor control SCADA real time data or environmental simulation setting is carried out topological analysis, select the reasonably black power supply that starts.Black choosing of power supply of startup comprises two aspect contents, and the one, in the network that comprises black startup power supply, select best startup unit, be a multiattribute comprehensive assessment problem; The 2nd, the startup position of source is reasonably deceived in planning in the network that does not have suitable black startup power supply, namely existing unit is transformed, and be a planning problem.Less for network size, black start power supply select less, and the area comparatively be familiar with for situation in the system of user, the user can manually set the black power supply that starts.The structural representation of black startup Power Selection as shown in Figure 4.

(1) the black power supply assessment On The Choice that starts:

According to black some basic principles that start Power Selection, can sum up the black evaluation index that starts commonly used, as shown in Figure 5.

Realizing deceiving the startup assessment according to evaluation index chooses; Described evaluation index comprises timeliness index, structural index, economic index and reliability index.

(1) the timeliness index comprises:

Black start unit start-up time, unit be s second;

The black capacity that starts unit, unit is megawatt MW;

Be activated at first power plant's total capacity of unit, unit is megawatt MW;

The black unit that starts is to the path that is activated at first between the unit, and unit is km;

The black unit that starts is to the primary equipment coefficient of performance that is activated at first between the unit, and unit is inferior.

(2) structural index comprises:

The black unit that starts is to the path that is activated at first between the unit, and unit is km;

The black unit that starts is to the primary equipment coefficient of performance that is activated at first between the unit, and unit is inferior;

The black closeness of loading around the unit that starts, unit be individual.

(3) economic index comprises black starting device overall life cycle cost, and unit is ten thousand yuan.

(4) reliability index comprises: the black unit that starts is to being activated at first primary equipment coefficient of performance between the unit, blackly starting reliability that power supply successfully opens, being activated power source bus side overvoltage multiple, deceiving initial start stage mini system frequency departure percentage and be activated power plant's busbar voltage and depart from percentage.

In black initial start stage, electric power system forms by starting power supply, step-up transformer and idle load long line, capacity current is larger in the system, easily produce the black power supply self-excitation problem that starts, terminal voltage and the capacitance current of generator constantly increase, cause generator overvoltage and overcurrent, so that the stator end of generator seriously generates heat.After the ordering that obtains a plurality of black startup power supplys, if this power supply is power plant, also need its technical characteristic-self-excitation characteristic is further checked, and if current conversion station then need not to carry out this check.When this condition did not satisfy, selected black startup power supply did not satisfy and does not produce the self-excitation requirement, needs the black power supply that starts of alternative.

(2) the black power source planning problem that starts:

In the network that does not have suitable black startup power supply, should reasonably plan the black position that starts power supply, existing unit is transformed, make it satisfy the black required characteristic that possesses of power supply that starts.

Machine set type whatever, in order to possess black start-up ability, the auxiliary generating plant in power plant and corresponding basic generation unit all need to satisfy certain technical performance index.Wherein, " the North America electric power safety committee " proposed more authoritative performance index.According to these technical performance indexs, operation characteristic and the starting characteristic of each each unit of power plant of target power system are analyzed, be suitable as the black power supply that starts with those units in the power plant of determining the sort of type.Hydroelectric plant's (comprising the pumped-storage hydroelectric plant) and combustion gas unit become the first-selected power plant of black startup Power supply alteration because of its good self-startup ability and regulating power.If internal system does not have suitable deceiving for transformation to start power supply, coupled back-to-back DC power transmission current conversion station also can be used as potential black startup power supply.

The black Mathematical Modeling general type that starts power source planning is:

minf(X,Y,Z)

s.t.h _i(X,Y,Z)≤a _i

g _j(X,Y,Z)≤b _j

k _m(X,Y,Z)≤d _m

Z≥0,X≥0,Y≥0①；

Wherein, f (X, Y, Z) is target function, and this black total social cost that starts Power supply alteration is used in expression; X is the unit correlated variables; Y is the network correlated variables; Z is for affecting the environmental factor of cost; S.t. refer to constraints; Wherein, h _i(X, Y, Z) represents first constraint: be the construction constraint of power construction; a _iExpression site area limit value; g _j(X, Y, Z) represents second constraint: be the unit operation constraint, the black starting power that starts power supply of expression is not less than the power of the assembling unit that current time consumes; b _jThe power of the assembling unit that the expression current time consumes; k _mRepresent the 3rd constraint: be time-constrain, namely start successfully to being activated maximum duration that the unit starting success will experience from it and retrain and be no more than limit value; d _mBe the time limit value.

Intrafascicular approximately, first constraint is the construction constraint of power construction, comprises place restriction etc.; Second is constrained to the unit operation constraint; Retrain the 3rd confinement time, namely starts successfully from it to retrain to a certain successful maximum duration that will experience of unit starting that is activated.When considering these constraints, also should consider black some special constraints that start, such as in same power plant, the black startup of a unit can only be arranged.

By this model is optimized, can optimally selects which unit is transformed, so that Total social benefit is maximum.By the optimization of this problem, can determine to select the most rational black startup Power supply alteration object from the angle of investment and Total social benefit from current Power Supplies Condition.

D, the black restoration path that starts of generation;

Adopt the black restoration path automatically-generating module that starts to generate the black restoration path that starts.The restoration path systematic function is a critical function of online power system recovery aid decision, its main purpose is to seek from the black power supply that starts to the selected optimal path that is activated the power supply, and recovery makes it can be used as the startup power supply of other important node to the power supply of power plant of the main force in the system.

Generating the black restoration path that starts comprises the steps:

I, determine to be activated power supply, be activated power acquisition fired power generating unit capacious.

II, select suitable black startup power supply and be activated power supply, by the initial path searching algorithm, obtain from the black power supply that starts to all feasible electrical path of target power supply.

Adopt rule-based path automatic search strategy, automatically obtain relatively reasonablely, and comprise as far as possible the searching algorithm in best candidate path.This algorithm synthesis is considered indices and the empirical standard of feasible path, and be corresponding rule with their standards, be used to refer to the search of guiding path, in search procedure, give up obvious irrational path and search plan, when comprising optimal path as far as possible, significantly improve the speed of route searching.

What this algorithm was followed is regular as follows:

1) voltage transitions number of times restriction principle

Voltage transitions number of times in the black start-up course of control reduces empty the fill possibility that circuit causes voltage out-of-limit, the steady enforcement of assured plan.

2) path restriction principle

Constrained Path length can reduce the capacitive load that circuit forms, and then reduces the probability that Electrical Discharge Machine produces self-excitation.

3) factory station restriction principle

Increase corresponding recovery operation through the standing-meeting of too many factory in the black start-up course, increase the risk of scheme, prolong start-up time.

4) capacity limits principle

Required minimum load should be less than starting exerting oneself of unit when being activated unit starting, and satisfying in the situation of this condition, recover as far as possible jumbo unit.

5) important load priority principle

Start as early as possible those to the load of national economy important, start to the unit of important load power supply as far as possible in advance.Important load is confirmed according to actual condition.

6) minimal time principle

Mainly have the start-up time of system following a few part to consist of: carry out in the black start-up time that starts the unit of power supply, the start-up course line loop operation time, be activated start-up time of unit.Select short unit of self-starting time to start power supply as deceiving as far as possible, need manually-operated part also will lack in the startup scheme as far as possible, select those to be in the unit of hot stand-by duty in the possible situation.

7) avoid the loop principle

To the path that is activated unit, should there be loop from starting unit.

III, filter out the electrical path by the feasibility verification;

The black purpose that starts the path verification is that the black startup path that searches is screened, and checks it whether to satisfy various security constraints, and giving up to fall can't be by the path of verification.Interventions Requested comprise: the verification of generator self-excitation, low-frequency oscillation verification, power-frequency overvoltage verification, switching overvoltage verification and the verification of electric voltage frequency stability.

IV, definite from the black power supply that starts to the path that is activated power supply combination property optimum is the optimized database restore path.

To assessing by all black startup paths of every verification and sorting, select from the black power supply that starts to the path that is activated power supply combination property optimum.Evaluation index is usually selected voltage transitions number of times, path, start-up time, is activated unit capacity, the good and bad degree of technology verification and be activated the priority level of power supply, the good and bad index of technology verification wherein is that summation after the normalization of every technology check results is obtained, and namely is summation after generator self-excitation, power-frequency overvoltage multiple, switching overvoltage multiple, variation, the frequency shift (FS) normalization is obtained.

Generate the structural representation in optimized database restore path as shown in Figure 6.

E, the electrical network main grid structure based on the optimized database restore path is recovered;

Adopt the power system recovery module that the electrical network main grid structure based on the optimized database restore path is recovered.The emphasis that main grid structure recovers is based on the recovery of whole electrical network main grid structure in optimized database restore path and the recovery of important load, comprises important transformer station in the system and the recovery of transmission line.The preferential startup comprises the node of important load in recovery process, and will guarantee that the voltage to frequency in system's recovery process is stable.

The main grid structure of electric power system recovers mainly to comprise two parts content: the one, set up the target rack, and the 2nd, establish concrete recovery order.The foundation of target rack recovers to have certain directive significance to system, it can provide a kind of prediction scheme to the dispatcher, provided the end-state that system will tentatively recover, the dispatcher can come system is recovered according to the target rack, recovery order that may be concrete in actual conditions is different, but finally all will return to target rack state.Usually target network comprises main power plant, important transformer station and key circuit in the one's respective area.For keeping unit operation, keeping system is stable, should be with upper certain load, because the particularity of important load, and should recovery important load as much as possible, when only dropping into important load and can not guarantee system stability, other load of input that should be suitable.The foundation of target rack is conducive to the recovery of follow-up load, because rack at this moment is basicly stable, weak unlike initial stages of restoration, and most unit all starts, total generated output of system is ensured, can continue like this to start other unit, transformer station and relevant circuit, as early as possible to contiguous high-tension line power supply, after in case high-tension line is charged, in the situation that the conditions such as voltage control satisfy, the regional power supply that can not send a telegram in reply towards periphery fast is conducive to the process that the quickening system is recovered.Therefore, according to the situations such as balance, working voltage and frequency of grid generation and load, should implement as early as possible the reconstruction model of main grid structure, be beneficial to recover main grid structure and main load, enlarge the electrical network scale.After major network is set up, can promote unit quantity and exert oneself according to the situation of load restoration, promote and send electrical power, recover power load, set up as early as possible the normal operating mode of electrical network.

For recovering localized network based on critical path when (or all), in order to take full advantage of valuable electric power resource, should at first recover important load, take into account simultaneously controllability and the uncontrollability of load, so that the overall load maximum of recovering, recovery process needs the safe and stable operation of keeping system.

The structural representation that main grid structure recovers as shown in Figure 7.

Electrical network main grid structure based on the optimized database restore path is recovered to comprise the steps:

I, startup important load and large load; (important load and large load all are to select according to actual condition)

Ii, whether judge to recover behind described important load and the large load near load capacity;

Among the described step I i, if behind described recovery important load and the large load near load capacity, then carry out step I ii; Otherwise, return step I.

Iii, call the knapsack optimized algorithm, select Optimal Load; (if near load capacity, then call the knapsack optimized algorithm, determine the recovery order of other loads)

Knapsack problem (Knapsackproblem) is a kind of np complete problem of Combinatorial Optimization.Problem can be described as: given one group of article, and every kind of article have weight and the price of oneself, and in the total weight that limits, How to choose just can make the total price of article the highest.The 0-1 knapsack problem is the most basic knapsack problem, uses comparatively extensive in the power system recovery sequential optimization.

The 0-1 knapsack problem can be described below:

Suppose to exist n spare article, the value that i spare article are corresponding is w _i, corresponding volume is b _j, the capacity of whole knapsack is V.How the 0-1 knapsack problem can be under the prerequisite that is no more than the knapsack volume if namely being determined, the object of the total value of packing into maximum.

The strict mathematical description of 0-1 knapsack problem is as follows:

$\left\{\begin{array}{c}\max f(x_1,x_2,L{x}_n)=\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{w}_i{x}_i\\ s.t.\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{b}_i{x}_i\≤V\\ x_i\∈\left\{\mathrm{0,1}\right\}(i=\mathrm{1,2},\mathrm{Ln})\\ \end{array}\right.$

The x here _iWhether expression selects i the article knapsack of packing into.If do not pack these article, then x into _i=0, if select to pack into these article, then x _i=1.

The 0-1 knapsack problem is the combinatorial optimization problem of classics, and its method for solving mainly is divided into exact method and approximation method.Exact method has branch and bound method, dynamic programming, classical back-track algorithm etc., and approximation method has greedy algorithm, ant group algorithm, genetic algorithm etc.In general, exact algorithm can not be found the solution extensive 0-1 knapsack problem within a short period of time, and its practicality is restricted; And approximation method can only Solve problems approximate solution, obtain sometimes the lower solution of mass ratio.

Iv, start described Optimal Load, judge whether power system frequency voltage is stable; (Optimal Load refers to calculate by knapsack algorithm, calculates it is restored electricity whether satisfy the power system voltage frequency stability)

Among the described step I v, if the power system frequency voltage stabilization carries out then that the whole network is black to be started, otherwise carry out power system frequency and voltage control, make it reach stable or select other loads to re-start judgement.

Whether v, judgement are finished based on the power system recovery in this optimized database restore path;

Among the described step v, if the power system recovery in optimized database restore path is finished, then return step I i; Otherwise carry out step vi.

Vi, judge whether whole electric power system optimized database restore path finishes.

Among the described step vi, if finish in whole electric power system optimized database restore path, then export the power system restoration result, otherwise, reselect the optimized database restore path.

F, management of calculated results.

The every data that adopt the management of computing module mainly system to be recovered to obtain after aid decision calculates manage and show that its major function is:

(1) recovery process Dynamic Display function: according to the black startup path of automatic generation, recovery process is carried out Dynamic Display.

(2) the analysis report export function is recovered by system: with routing information and the arrangement of every check results automatic archiving, derive with the Word document form, form rudimentary system recovery scheme analysis report.

(3) transient voltage waveform Presentation Function: the switching overvoltage transient-wave after each equipment investment in every paths is showed.

(4) section hold function as a result: preserve in operation of power networks state, simulated environment, the black path that starts to current time section, for calling from now on.

(5) examination Information Statistics function: the information such as day, month, year availability factor that system's restoration path calculates are added up, can check by date.

The structural representation of management of computing as shown in Figure 8.

The present invention also provides the application design of black start assistant decision making method.

Application definition comprises: database, program and man-machine interface.

One) database:

Online power system recovery aid decision is used and is comprised system database (various public equipment list), computation database (parameter list, result of calculation table etc.).The calculated data storehouse of online power system recovery aid decision is working data base, is the bridge of contact procedure, picture, input/output information, plays a part to deposit initial data, preservation computational process record and computing information, output result of calculation.

The database of power system recovery aid decision is based on intelligent grid supporting system technology support platform, and database mainly comprises following three parts:

1. network parameter: not necessarily comprise system in the common block list and recover the required whole parameters of aid decision, only need in respective table, to add the domain of dependence and get final product.

---bus table (BS)

---generator table (UN)

---transformer table (XF)

---circuit table (LN)

---load meter (LD)

---switch tool table (CB)

2. scheme table:

---initial restoration path scheme table: the initial scheme that storage obtains through search.

---final restoration path scheme table: the scheme of storage through calculating by check.

---main grid structure recovery scheme table: the stable main grid structure recovery scheme of electric voltage frequency is satisfied in storage, comprises important factory station, circuit, load etc.

3. check computational chart:

---the power-frequency overvoltage table: after the operation of storage respective switch, the maximum power-frequency overvoltage value on the path.

---power-frequency overvoltage table: switching overvoltage table: after the operation of storage respective switch, the maximum switching overvoltage curve on the path.

4. evaluation form:

---the black power supply evaluate parameter table that starts: storage is black to be started in the Power Selection process for assessment of the parameter of calculating.

---the black power supply assessment result table that starts: the black relative effectiveness order that starts Power Selection of storage.

---initial restoration path evaluate parameter table: calculate each scheme of passing through according to checking, extract it accordingly for assessment of the parameter of calculating.

---initial restoration path assessment result table: the relative effectiveness order of storage feasible program.

Two) man-machine interface

Draw the exploitation of the aid decision calculating picture of rationing the power supply based on regional intelligent grid supporting system technology support platform, realize with Java language, comprise three parts:

1. control interface:

---key frame

---system's line chart

---main grid structure figure

2. input data display:

---power failure range arranges picture

---the black Power Selection picture that starts

---calculating parameter arranges picture

3. output data:

---the transient voltage waveform is showed picture

---system's recovery process Dynamic Display picture

---system's restoration result inquiry picture

Online power system recovery aid decision-making method provided by the invention, online power system recovery aid decision comprises real-time mode and research mode, real-time mode obtains have a power failure on a large scale real-time grid state after the accident of electric power system from fundamental information platform, research mode is the artificial power failure running status of setting simulation on the basis that primary data reads, and consists of respectively two kinds of electrical network initial launch states under the pattern.Its basic function mainly comprises: the initial launch state is carried out topological analysis, utilize multiattribute evaluation decision method automatic evaluation to choose suitable black startup power supply; All deceive startup power supplys to the Rational Path that is activated between the power supply by the searching algorithm automatic search; The feasibility verification is carried out in all paths calculated, to assessing by the feasible black startup path of every verification and sorting, obtain optimum restoration path; On the basis in optimized database restore path, set up the target rack that main grid structure recovers the stage, and determine to return to the path of optimal objective rack, to recover as early as possible main grid structure and main load, enlarge the electrical network scale that restores electricity.After all calculating are finished, can recover analysis report by the automatic printing generation system, and can carry out Dynamic Display to system's recovery process.

Use method of the present invention and develop online power system recovery auxiliary decision-making support system, can satisfy to the full extent the demand of intelligent scheduling.

Should be noted that at last: above embodiment is only in order to illustrate that technical scheme of the present invention is not intended to limit, although with reference to above-described embodiment the present invention is had been described in detail, those of ordinary skill in the field are to be understood that: still can make amendment or be equal to replacement the specific embodiment of the present invention, and do not break away from any modification of spirit and scope of the invention or be equal to replacement, it all should be encompassed in the middle of the claim scope of the present invention.

Claims (32)

1. online power system recovery aid decision-making method, described power system recovery aid decision comprises real-time mode and research mode; Described real-time mode refers to obtain have a power failure on a large scale real-time grid state after the accident of electric power system from fundamental information platform; Described research mode refers to the artificial power failure running status of setting simulation on the basis that primary data reads;

It is characterized in that described method comprises the steps:

A, read the electrical network primary data;

B, simulated environment setting;

C, the black power supply that starts of selection;

D, the black restoration path that starts of generation;

E, whole electrical network is recovered based on the optimized database restore path;

F, management of calculated results.

2. online power system recovery aid decision-making method as claimed in claim 1 is characterized in that, in the described steps A, adopts the primary data read module to read the electrical network primary data; Described primary data comprises real time execution profile data, history run profile data and following mode profile data.

3. online power system recovery aid decision-making method as claimed in claim 2 is characterized in that, the real time execution profile data reflection real-time grid model running state that reads; Described real time execution profile data reads the real-time grid model from state estimation, is used for the operational mode of the current electrical network of analytic statistics, or the basic section that arranges as simulated environment.

4. online power system recovery aid decision-making method as claimed in claim 2 is characterized in that, the history run profile data reflecting history electric network model running status that reads; From the historical data event of preserving, obtain electrical network history run profile data, as analysis section.

5. online power system recovery aid decision-making method as claimed in claim 2 is characterized in that, the following mode profile data that reads reflects following electric network model running status; Read the maintenance scheduling data, on the basis of current real time data section, according to maintenance scheduling, load prediction data the following mode data section of generation is set, be used for analyzing the power system operating mode that maintenance scheduling causes.

6. online power system recovery aid decision-making method as claimed in claim 1 is characterized in that, among the described step B, adopts simulated environment that module is set simulated environment is arranged; Described simulated environment setting is included under the electrical network research mode; Refer on the basis of real-time, historical or following mode profile data destination object be carried out the switching setting, the state of full cut-off fault occurs in acquisition simulation actual electric network subregion, namely deceives to start the required initial operation of power networks state of path generation.

7. online power system recovery aid decision-making method as claimed in claim 6 is characterized in that, described simulated environment setting is by man-machine interface, realize in the mode of man-machine interaction; Described simulated environment setting comprises following manner:

A, the regional full cut-off mode of setting: the different range according to different user is paid close attention to has a power failure by the selected overall region full cut-off of area tabulation or partial electric grid;

B, main grid structure figure set-up mode: on electrical network main grid structure figure, electric network state is arranged;

C, element and switch tabulation set-up mode: the state to electric equipment element and switch arranges separately; The setting of electric equipment element is that the switching of element is selected, and lists by type electric equipment element in the electric power system with the form of form; The setting of switch element is that the folding condition to switch arranges, and lists the folding condition of all switch elements in the electric power system with the form of form, and changes the folding condition of switch element in form.

8. online power system recovery aid decision-making method as claimed in claim 7 is characterized in that, after simulated environment arranges the initial path generation, makes electric network state return to initial condition by the ground state restore funcitons.

9. online power system recovery aid decision-making method as claimed in claim 1 is characterized in that, among the described step C, adopts the black power supply that starts to select module to select the black power supply that starts; After described black startup refers to that electric power system hinders stoppage in transit for some reason, do not rely on external electrical network, by having the startup of self-startup ability unit in the electric power system, the unit that drives non self starting enlarges the scope of power system recovery, realizes the process of the recovery of electric power system; Described black startup power supply refers to that electric power system hinders for some reason collapse and stops transport when being in complete " deceiving " state, does not rely on external electrical network, self has the unit of self-startup ability; Described black startup power supply comprises that Hydropower Unit, gas turbine, HVDC light system, generation of electricity by new energy, little unit Active Splitting are isolated island.

10. online power system recovery aid decision-making method as claimed in claim 1 is characterized in that, among the described step C, the black power supply that starts of described selection comprises:

(1) assessment of black startup power supply is chosen;

(2) the black power source planning that starts.

11. online power system recovery aid decision-making method as claimed in claim 10 is characterized in that, in described (1), realizes deceiving the startup assessment according to evaluation index and chooses; Described evaluation index comprises timeliness index, structural index, economic index and reliability index.

12. online power system recovery aid decision-making method as claimed in claim 11 is characterized in that, described timeliness index comprises:

Black start unit start-up time, unit be s second;

The black capacity that starts unit, unit is megawatt MW;

Be activated at first power plant's total capacity of unit, unit is megawatt MW;

The black unit that starts is to the path that is activated at first between the unit, and unit is km;

The black unit that starts is to the primary equipment coefficient of performance that is activated at first between the unit, and unit is inferior.

13. online power system recovery aid decision-making method as claimed in claim 11 is characterized in that, described structural index comprises:

The black unit that starts is to the path that is activated at first between the unit, and unit is km;

The black unit that starts is to the primary equipment coefficient of performance that is activated at first between the unit, and unit is inferior;

The black closeness of loading around the unit that starts, unit be individual.

14. online power system recovery aid decision-making method as claimed in claim 11 is characterized in that, described economic index comprises black starting device overall life cycle cost, and unit is ten thousand yuan.

15. online power system recovery aid decision-making method as claimed in claim 11, it is characterized in that described reliability index comprises: the black unit that starts is to being activated at first primary equipment coefficient of performance between the unit, blackly starting reliability that power supply successfully opens, being activated power source bus side overvoltage multiple, deceiving initial start stage mini system frequency departure percentage and be activated power plant's busbar voltage and depart from percentage.

16. such as each described online power system recovery aid decision-making method among the claim 10-15, it is characterized in that, if black startup power supply is power plant, power plant's technical characteristic and self-excitation characteristic further checked; If black startup power supply is current conversion station, does not then carry out the self-excitation characteristic and check; If the black power generation self-excitation that starts reselects the black power supply that starts.

17. online power system recovery aid decision-making method as claimed in claim 10 is characterized in that, in described (2), the black power source planning that starts adopts Mathematical Modeling to represent that described Mathematical Modeling is as follows:

minf(X,Y,Z)

s.t.h _i(X,Y,Z)≤a _i

g _j(X,Y,Z)≥b _j

k _m(X,Y,Z)≤d _m

Z≥0,X≥0,Y≥0①；

Wherein: f (X, Y, Z) is target function, and this black total social cost that starts Power supply alteration is used in expression; X is the unit correlated variables; Y is the network correlated variables; Z is for affecting the environmental factor of cost; S.t. refer to constraints; Wherein, h _i(X, Y, Z) represents first constraint: be the construction constraint of power construction; a _iExpression site area limit value; g _j(X, Y, Z) represents second constraint: be the unit operation constraint, the black starting power that starts power supply of expression is not less than the power of the assembling unit that current time consumes; b _jThe power of the assembling unit that the expression current time consumes; k _mRepresent the 3rd constraint: be time-constrain, namely start successfully to being activated maximum duration that the unit starting success will experience from it and retrain and be no more than limit value; d _mBe the time limit value.

18. online power system recovery aid decision-making method as claimed in claim 1 is characterized in that, among the described step D, adopts the black restoration path automatically-generating module that starts to generate the black restoration path that starts; Determine to recover the power supply to thermal power plant in the electric power system from the black power supply that starts to the selected optimized database restore path that is activated the power supply, make it as the startup power supply of node.

19. online power system recovery aid decision-making method as claimed in claim 14 is characterized in that, among the described step D, the black restoration path that starts of described generation comprises the steps:

I, determine to be activated power supply;

II, employing initial path searching algorithm obtain from the black power supply that starts to the feasible electrical path that is activated power supply;

III, filter out the electrical path by the feasibility verification;

IV, definite from the black power supply that starts to the path that is activated power supply combination property optimum is the optimized database restore path.

20. online power system recovery aid decision-making method as claimed in claim 19 is characterized in that, among the described step I, and the described power acquisition fired power generating unit that is activated.

21. online power system recovery aid decision-making method as claimed in claim 19 is characterized in that, in the described Step II, adopts rule-based initial path searching algorithm, obtains from the black power supply that starts to the feasible electrical path that is activated power supply.

22. online power system recovery aid decision-making method as claimed in claim 21 is characterized in that, described initial path searching algorithm is followed following rule:

1) voltage transitions number of times restriction principle: the voltage transitions number of times in the black start-up course of control;

2) path restriction principle: the black restoration path length that starts of restriction;

3) factory station restriction principle;

4) capacity limits principle: required minimum load and recovers jumbo unit less than starting exerting oneself of unit when being activated unit starting;

5) important load priority principle;

6) minimal time principle: the unit of selecting to be in hot stand-by duty;

7) avoid the loop principle: to the path that is activated unit, do not have loop from starting unit.

23. online power system recovery aid decision-making method as claimed in claim 19, it is characterized in that, among the described Step II I, the Interventions Requested of described feasibility verification comprise: the verification of generator self-excitation, low-frequency oscillation verification, power-frequency overvoltage verification, switching overvoltage verification and the verification of electric voltage frequency stability.

24. online power system recovery aid decision-making method as claimed in claim 19, it is characterized in that, among the described step IV, to assessing by all black startup restoration paths of feasibility verification and sorting, select from the black power supply that starts to the path that is activated power supply combination property optimum; Evaluation index is selected voltage transitions number of times, path, start-up time, is activated unit capacity, the good and bad degree of technology verification and be activated the priority level of power supply, and the good and bad index of technology verification wherein is that summation after generator self-excitation, power-frequency overvoltage multiple, switching overvoltage multiple, variation, the frequency shift (FS) normalization is obtained.

25. online power system recovery aid decision-making method as claimed in claim 1 is characterized in that, in the described step e, adopts the power system recovery module that the electrical network based on the optimized database restore path is recovered; Comprise transformer station in the electric power system and the recovery of transmission line; Preferential startup comprises the node of important load in recovery process, and at Power System Restoration Process medium frequency voltage stabilization.

26. online power system recovery aid decision-making method as claimed in claim 21 is characterized in that, in the described step e, the whole electrical network based on the optimized database restore path is recovered to comprise the steps:

I, startup important load and large load;

Ii, whether judge to recover behind described important load and the large load near load capacity;

Iii, call the knapsack optimized algorithm, select Optimal Load;

Iv, start described Optimal Load, judge whether power system frequency voltage is stable;

Whether v, judgement are finished based on the power system recovery in this optimized database restore path;

Vi, judge whether whole electric power system optimized database restore path finishes.

27. online power system recovery aid decision-making method as claimed in claim 26 is characterized in that, in the described step I, described important load and large load define according to actual condition.

28. online power system recovery aid decision-making method as claimed in claim 26 is characterized in that, among the described step I i, if behind described recovery important load and the large load near load capacity, then carry out step I ii; Otherwise, return step I; Judge condition near load capacity be important load and large load whether reach unit capacity 90%.

29. online power system recovery aid decision-making method as claimed in claim 26 is characterized in that described step I v

In, if the power system frequency voltage stabilization then carries out the black startup of the whole network, otherwise carries out power system frequency and voltage control,

Make it reach stable or select other loads to re-start judgement.

30. online power system recovery aid decision-making method as claimed in claim 26 is characterized in that, among the described step v, if the power system recovery in optimized database restore path is finished, then returns step I i; Otherwise carry out step vi.

31. online power system recovery aid decision-making method as claimed in claim 1 is characterized in that, among the described step vi, if finish in whole electric power system optimized database restore path, then exports the power system restoration result, otherwise, reselect the optimized database restore path.

32. online power system recovery aid decision-making method as claimed in claim 1 is characterized in that, in the described step F, the data that employing management of computing module obtains after the power system recovery aid decision is calculated manage and show; Comprise: recovery process Dynamic Display, power system recovery analysis report are derived, the transient voltage waveform shows, the section result preserves, the examination Information Statistics.

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