CN107124006B - Equipment overload self-adaptive emergency control method based on measure sensitivity automatic identification - Google Patents

Equipment overload self-adaptive emergency control method based on measure sensitivity automatic identification Download PDF

Info

Publication number
CN107124006B
CN107124006B CN201710311610.7A CN201710311610A CN107124006B CN 107124006 B CN107124006 B CN 107124006B CN 201710311610 A CN201710311610 A CN 201710311610A CN 107124006 B CN107124006 B CN 107124006B
Authority
CN
China
Prior art keywords
controllable
measure
measures
equipment
active
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201710311610.7A
Other languages
Chinese (zh)
Other versions
CN107124006A (en
Inventor
徐泰山
刘强
郑亮
罗建裕
罗凯明
江叶峰
金涛
查显煜
高凯
张艳军
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Fuxin Power Supply Company State Grid Liaoning Electric Power Co ltd
State Grid Corp of China SGCC
State Grid Jiangsu Electric Power Co Ltd
State Grid Liaoning Electric Power Co Ltd
NARI Group Corp
Nari Technology Co Ltd
Original Assignee
Fuxin Power Supply Company State Grid Liaoning Electric Power Co ltd
State Grid Corp of China SGCC
State Grid Jiangsu Electric Power Co Ltd
State Grid Liaoning Electric Power Co Ltd
NARI Group Corp
Nari Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Fuxin Power Supply Company State Grid Liaoning Electric Power Co ltd, State Grid Corp of China SGCC, State Grid Jiangsu Electric Power Co Ltd, State Grid Liaoning Electric Power Co Ltd, NARI Group Corp, Nari Technology Co Ltd filed Critical Fuxin Power Supply Company State Grid Liaoning Electric Power Co ltd
Priority to CN201710311610.7A priority Critical patent/CN107124006B/en
Publication of CN107124006A publication Critical patent/CN107124006A/en
Priority to PCT/CN2017/112346 priority patent/WO2018201703A1/en
Application granted granted Critical
Publication of CN107124006B publication Critical patent/CN107124006B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/001Methods to deal with contingencies, e.g. abnormalities, faults or failures
    • H02J3/0012Contingency detection
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/12Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
    • H02J3/14Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46Controlling of the sharing of output between the generators, converters, or transformers
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2310/00The network for supplying or distributing electric power characterised by its spatial reach or by the load
    • H02J2310/50The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads
    • H02J2310/56The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads characterised by the condition upon which the selective controlling is based
    • H02J2310/58The condition being electrical
    • H02J2310/60Limiting power consumption in the network or in one section of the network, e.g. load shedding or peak shaving
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02BCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B70/00Technologies for an efficient end-user side electric power management and consumption
    • Y02B70/30Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
    • Y02B70/3225Demand response systems, e.g. load shedding, peak shaving
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S20/00Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
    • Y04S20/20End-user application control systems
    • Y04S20/222Demand response systems, e.g. load shedding, peak shaving

Landscapes

  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Supply And Distribution Of Alternating Current (AREA)
  • Feedback Control In General (AREA)

Abstract

The invention discloses a device overload self-adaptive emergency control method based on measure sensitivity automatic identification, and belongs to the technical field of electric power system safety emergency control. Aiming at equipment overload emergency control that a single cut-off or a parallel equipment with the same station is completely cut off without causing power grid disconnection, when equipment overload is judged for the first time, equipment overload emergency control measure combination is calculated according to an initial value of measure sensitivity, the power grid is controlled, then the comprehensive sensitivity of the measures is calculated according to the control effect and is used for updating the sensitivity of other measures of a plant station accessed by the recently-implemented measures, the equipment overload emergency control measure combination is calculated, and the equipment overload is eliminated through iteration of calculation sensitivity-calculation control measure. The invention can realize the comprehensive guarantee of control precision, real-time performance and reliability.

Description

Equipment overload self-adaptive emergency control method based on measure sensitivity automatic identification
Technical Field
The invention belongs to the technical field of safety emergency control of an electric power system, and particularly relates to a method suitable for overload adaptive emergency control of power transmission equipment of the electric power system.
Background
Factors such as power generation of a power grid, rapid change of load or switching on/off of power grid equipment can cause overload of a power transmission line and a transformer of the power grid, and when the overload degree is serious, an emergency control measure needs to be taken to eliminate overload of the power transmission equipment. The overload of equipment in a power grid disconnection mode can be caused by single disconnection or full disconnection of parallel equipment (a plurality of transmission equipment with the same or different buses at each end but connected together only through a switch) at the same station, and the overload of the equipment can be controlled by adopting an overload connection and disconnection scheme as the sensitivity of emergency control measures at different stations is the same and does not change along with the running state of other equipment outside a transmission section containing the overload equipment and taking the product of the overload degree and the sensitivity of the equipment as the total control amount of the emergency control measures by setting the sensitivity of the measures offline.
However, for a single cut-off or full cut-off of parallel equipment of the same station, overload of equipment of power grid disconnection cannot be caused, and because the sensitivity of emergency control measures of different stations may be different and change along with the running state of other equipment, if an equipment overload joint-cut scheme of off-line setting measure sensitivity is adopted, serious over-control risk is inevitably existed; if the equipment overload online control scheme based on the online calculation measure sensitivity of the power grid state is adopted, due to the fact that a power grid online model and the real-time power flow of the power grid are involved, when the estimation accuracy of the range of the power grid online model and the estimation accuracy of the power grid running state are not enough to completely reflect the sensitivity of the measure to the equipment overload, the online control scheme also has serious overload risks, and the equipment is disconnected due to overlong overload time possibly caused by the insufficient generation speed of an online control strategy, so that the more serious power grid safety problem is caused.
Disclosure of Invention
The invention aims to: aiming at the problems in the prior art, the equipment overload self-adaptive emergency control method which does not depend on a power grid online model and power grid real-time power flow and evaluates the measure sensitivity based on the emergency control implementation effect is provided.
The basic principle of the invention is that: the product of the control quantity of the measure and the sensitivity of the measure to the equipment overload reflects the degree of influence on the equipment overload after the measure is implemented. When the sensitivity of the measure to the equipment overload can not be determined in advance, the sensitivity of the measure to the equipment overload can be calculated through the influence degree of the equipment overload after the measure is implemented and the control quantity of the measure. Because the sensitivities of different measures accessed to the same station are the same, when the sensitivity of a certain measure to the overload of the equipment is calculated, the calculated sensitivity can be used as the sensitivity of other measures which are the same as the measures accessed to the station to the overload of the equipment. In the case that the overload of the equipment is not completely eliminated, the emergency control measure which is more suitable for the real-time running state of the power grid can be searched according to the control quantity and the sensitivity of the rest measures. By means of iteration of 'calculating sensitivity-calculating control measures' until the overload of the equipment is eliminated, comprehensive guarantee of control precision, real-time performance and reliability can be achieved.
Specifically, the invention is realized by adopting the following technical scheme, which comprises the following steps:
1) recording equipment to be monitored as k, recording a controllable measure set for implementation after the overload of the equipment k is monitored as F, setting the execution time j of the F as 0, and entering the step 2);
2) if the current time tjThe current of the k current monitoring point of the equipment is larger than a set equipment overload emergency control current threshold value IcrAnd the duration exceeds the set time limit tcrThen t will bejThe active power and the reactive power of the equipment flowing through the k current monitoring points of the equipment at any moment are respectively recorded as PjAnd QjAnd the bus voltage connected with the k current monitoring point of the device is recorded as VjCalculating t by using the formula (1)jTime and IcrCorresponding device k overload active threshold value PcrJ, and mixing tjThe set of controllable measures available at the moment for emergency control of overload of device k is taken as tjEntering step 3) when the equipment k overloads the controllable measure set C to be selected for emergency control, or ending the method;
Figure BDA0001287287630000021
3) if j is 0, aiming at each station accessed by the controllable measures in C, when t is setjWhen the active power injection change of the controllable measure access station at the moment C has a sensitivity value mode on the equipment k being active, the sensitivity offline setting value of the active power injection change on the equipment k being active is respectively taken as tjThe sensitivity of active power injection change of the plant station to the active power of the equipment k at the moment; when t is setjWhen the active power injection change of the controllable measure access station at the moment C has the sensitivity value mode on the active power of the equipment k, the sensitivity value mode is an online mode according to t0The online value of the sensitivity of the active injection change of the controllable measure accessed to the plant station in the C newly calculated by the power grid running state before the moment to the active of the equipment k is taken as tjThe sensitivity of active power injection change of the plant station to the active power of the equipment k at the moment enters the step 4);
if j is not 0, recording the set of all plant stations accessed by the controllable measures in C as SC, recording the set of all plant stations accessed by the controllable measures in F as SF, and regarding each plant station in SF, taking the ratio of the overload change degree of the equipment after the implementation of all the controllable measures in F to the total amount of the controllable measures in F as tjThe active power injection changes of the plants at the moment have the active sensitivity on the equipment k; aiming at each station except the station in SF in SC, respectively carrying out tj-1The sensitivity of the active injection change to the device k at that moment is taken as its tjThe sensitivity of active power injection change to the active power of the equipment k at the moment enters the step 4);
4) determining the effectiveness of all the controllable measures in the step C, taking a set formed by all the effective controllable measures in the step C as an effective controllable measure set D for the overload emergency control of the equipment k, and entering the step 5);
5) if D is larger than the set sensitivity threshold value ScrThe set of controllable measures is taken as a preferred controllable measure set E, and the step 6) is carried out;
6) if F can be searched from E according to the controllable measure priority from high to low, then step 9) is entered, otherwise, step 7) is entered;
7) if F can be searched from D according to the controllable measure priority from high to low, then step 9) is entered, otherwise, step 8) is entered;
8) if a controllable measure set G needing to be reserved can be searched from D according to the controllable measure priority in the sequence from low to high, taking a set consisting of the controllable measures except G in D as F, and ending the method, otherwise, ending the method;
the controllable measure set G needing to be reserved refers to a controllable measure set which is generated in real time according to the requirement of the reserved capacity or number of controllable measures of the plant and is not allowed to be implemented;
9) and (5) implementing all controllable measures in the F on the power grid, increasing j by 1, and returning to the step 2).
The technical scheme is further characterized in that:
the controllable measures comprise single plant station type controllable measures and non-single plant station type controllable measures, wherein the single plant station type controllable measures are divided into generator type controllable measures and load type controllable measures;
the single plant station type controllable measure is a controllable measure which only causes active power injection change of one plant station after execution; the generator controllable measures refer to controllable measures which cause the active power injection of the accessed plant station to be reduced after execution; the load type controllable measures refer to controllable measures which cause the increase of active power injection of the accessed plant station after execution;
aiming at the controllable measures of a single plant station, adopting (TY, DN, L, P)DN.L.i.j,SDN.k.j) The sequence is marked, wherein TY is a controllable measure type and comprises two types of controllable measures of a generator class and a load class, DN is the name of a station to which the controllable measure is accessed, L is the priority of the controllable measure, and P is the priority of the controllable measureDN.L.i.jIs tjThe active control quantity of the ith controllable measure with DN and priority L is accessed at any moment, SDN.k.jIs tjThe active injection change of the constantly accessed DN has the active sensitivity to the device k;
the priority of the controllable measures refers to the priority of the controllable measures when the controllable measures for implementation are selected, the higher the L of the controllable measures is, the more preferentially the controllable measures are, and no selection order constraint exists among the controllable measures with the same L;
the non-single plant station type controllable measure is a controllable measure which causes active injection changes of two or more plant stations after execution;
aiming at the controllable measures of the non-single plant station class, each plant station of a receiving end or a sending end which causes active power injection change after the controllable measures of the non-single plant station class are respectively generated into the controllable measures by adopting the same modeling mode as the controllable measures of the single plant station class, and the controllable measures of each plant station of the corresponding receiving end or sending end are combined to be used as the model of the controllable measures of the non-single plant station class, and [ (TY, DN-1, L, P) is adoptedDN-1.L.i.j,SDN-1.k.j),…,(TY,DN-m,L,PDN-m.L.i.j,SDN-m.k.j),…,(TY,DN-M,L,PDN-M.L.i.j,SDN-M.k.j)]The sequence is marked, wherein M is the number of the corresponding receiving end or sending end plant stations, DN-M is the name of the mth plant station, PDN-m.L.i.jIs tjAccessing DN-m, you constantlyActive control quantity of ith controllable measure with first level L, SDN-m.k.jIs tjThe active injection variation of the instant access DN-m has a positive sensitivity to the device k.
The above technical solution is further characterized in that in the step 3):
if j is 0, for each controllable measure in C, when t is setjWhen the active change of the time controllable measures accessed to the plant station has a sensitivity value mode of the equipment k to the active work, the S of the corresponding controllable measures is takenDN.k.j、SDN-m.k.jRespectively taking the sensitivity offline setting value of active change of corresponding controllable measures accessed to DN and DN-m to the active of equipment k when the set t isjWhen the active change of the time controllable measures accessed to the plant station has the sensitivity value mode of the active change of the equipment k to the on-line mode, S of the corresponding controllable measures is usedDN.k.j、SDN-m.k.jAre taken as according to t0The latest calculated controllable measures of the power grid running state before the moment are accessed into active change of DN and DN-m and the on-line value of the sensitivity of the active change of the device k, and the step 4) is carried out;
if j is not 0, (P) is calculatedj-1-Pj) And all single plant station controllable measures t in Fj-1Time of day | PDN.L.i.j-1Controllable measures t for | and all non-single plant stationsj-1Of time of day
Figure BDA0001287287630000051
Ratio of sums Sa.kAiming at each station accessed by the controllable measures in the F, respectively sending Sgn (S)DN.k.j-1)Sa.kAs tjSensitivity S of active injection change of accessing DN by single plant station controllable measure at moment to active of equipment kDN.k.j、Sgn(SDN-m.k.j-1)Sa.kAs tjThe sensitivity S of active injection change of the device k to the active of the DN-m of each controllable measure in the controllable measure combination corresponding to the non-single plant station controllable measure at any momentDN-m.k.jAnd accessing other plant stations t accessed by the controllable measures in the C except the various plant stations accessed by the controllable measures in the Fj-1Sensitivity of the instant active injection change to the device k active asT of whichjThe sensitivity of active power injection change to the active power of the equipment k at the moment enters the step 4);
wherein, Pj-1Is tj-1Active power P of equipment flowing through k monitoring points of equipment at any timeDN.L.i.j-1、PDN-m.L.i.j-1Are each tj-1Active control quantity of the ith controllable measure with the priority of L and connected DN-m at any time, Sgn is a sign function, SDN.k.j-1、SDN-m.k.jAre each tj-1The sensitivity of active injection change of the controllable measure accessing DN to the equipment k at the moment to the active of the equipment k and the sensitivity of active injection change of the controllable measure accessing DN-m to the active of the equipment k.
The above technical solution is further characterized in that, in the step 4), the method for determining the effectiveness of the controllable measure in C comprises:
and (3) carrying out effectiveness judgment for reducing the overload degree of the equipment k aiming at a single station type controllable measure in the step C by the following method:
for generator-like controllable measures, if S thereofDN.k.jGreater than 0 and PDN.L.i.jIf not, determining the measure as an effective controllable measure, otherwise, determining the measure as an ineffective controllable measure;
for load-like controllable measures, if S thereofDN.k.jLess than 0 and PDN.L.i.jIf not, determining the measure as an effective controllable measure, otherwise, determining the measure as an ineffective controllable measure;
and (3) carrying out effectiveness judgment on the reduction of the overload degree of the equipment k aiming at the controllable measures of the non-single station in the step C by the following method:
respectively carrying out effectiveness judgment on each controllable measure in a controllable measure combination corresponding to the non-single plant-type controllable measure according to an effectiveness judgment method of the single plant-type controllable measure, if all the controllable measures in the corresponding controllable measure combination are effective controllable measures, determining the corresponding non-single plant-type controllable measure as an effective controllable measure, otherwise, determining the corresponding non-single plant-type controllable measure as an invalid controllable measure;
the above technical solution is further characterized in that F searched from E in step 6) should satisfy the following condition:
| P of all single plant-station controllable measures in FDN.L.i.jSDN.k.jWith controllable measures for all non-single plant-stations
Figure BDA0001287287630000061
Sum of minimum and λ or morej(Pj-Pcr.j) And simultaneously aiming at each plant accessed by the single plant type controllable measure in the C, except the F, the | P of all the remaining single plant type controllable measures in the CDN.L.i.jThe sum of |, which is respectively more than or equal to the set active capacity P required to be reserved by each stationDN.rOr the number of the remaining single plant station type controllable measures is respectively more than or equal to the set number n of the single plant station type controllable measures required to be reserved by each plant stationDN.rThe requirements of (1); wherein λ isjFor a set factor of degree of emergency control of k overload of the installation, 0 < lambda0<…<λj≤1。
The above technical solution is further characterized in that F searched from D in the step 7) should satisfy the following condition:
| P of all single plant-station controllable measures in FDN.L.i.jSDN.k.jWith controllable measures for all non-single plant-stations
Figure BDA0001287287630000062
Sum of minimum and λ or morej(Pj-Pcr.j) And simultaneously aiming at each plant accessed by the single plant type controllable measure in the C, except the F, the | P of all the remaining single plant type controllable measures in the CDN.L.i.jThe sum of |, which is respectively more than or equal to the set active capacity P required to be reserved by each stationDN.rOr the number of the remaining single plant station type controllable measures is respectively more than or equal to the set number n of the single plant station type controllable measures required to be reserved by each plant stationDN.rThe requirements of (1); wherein λ isjFor a set factor of degree of emergency control of k overload of the installation, 0 < lambda0<…<λj≤1。
The above technical solution is further characterized in that G searched from D in the step 8) should satisfy the following condition:
| P of all single plant-class controllable measures in GDN.L.i.jSDN.k.jWith controllable measures for all non-single plant-stations
Figure BDA0001287287630000071
The sum is minimum, and the | P of each plant station accessed by the single plant station controllable measure in the G and all the single plant station controllable measures in the G are simultaneously aimed atDN.L.i.jThe sum of |, which is respectively more than or equal to the set active capacity P required to be reserved by each stationDN.rOr the number of the controllable measures of the single plant station class is respectively more than or equal to the set number n of the controllable measures of the single plant station class required to be reserved by each plant stationDN.rThe requirements of (1).
By adopting the technical scheme, the invention achieves the following technical effects: even if the offline-set measure sensitivity serving as the initial value of the measure sensitivity or the online-calculated measure sensitivity accuracy based on the power grid state is poor, when all controllable measures are connected to the same plant station, the sensitivity of the measures to the overload of the equipment, which is calculated according to the influence degree of the overload of the equipment and the control quantity of the measures after the measures are implemented, is the actual value of the sensitivity of the measures in the current running state of the power grid, and the calculated emergency control measure accuracy is very high; when a plurality of measures determined for the first time are connected to different plant stations, the average sensitivity of the measures to the overload of the equipment, which is obtained by calculating the influence degree of the overload of the equipment after the measures are implemented and the control quantity of the measures, is taken as the sensitivity of the measures of the relevant plant stations to the overload of the equipment, and the precision of the initial value of the sensitivity of the measures is higher in most cases. Meanwhile, the invention introduces the equipment overload emergency control degree coefficient which is less than or equal to 1 and gradually increases along with the iteration times, and can further reduce the influence degree of the initial value precision of the measure sensitivity and the error which takes the average sensitivity as the sensitivity of the relevant plant station on the emergency control measure precision. In addition, the equipment overload can be finally eliminated by adopting an iterative strategy of 'calculating sensitivity-calculating control measures'. Therefore, the method overcomes the defect of poor adaptability of offline setting of measure sensitivity, overcomes the defect that the sensitivity is calculated on line based on the state of the power grid and seriously depends on the online model of the power grid and the real-time power flow of the power grid, and comprehensively ensures the precision, the real-time performance and the reliability of realizing the overload emergency control of the equipment.
Drawings
FIG. 1 is a flow chart of the method of the present invention.
Detailed Description
The present invention is described in further detail below with reference to the attached drawings.
Example 1:
this example is an implementation of the present invention, the flow of which is shown in FIG. 1,
step 1 in fig. 1: setting the execution times j of a controllable measure set F for implementation after monitoring that the equipment k is overloaded to be 0, and entering the step 2;
step 2 in fig. 1: if the current time tjThe current of the k current monitoring point of the equipment is larger than a set equipment overload emergency control current threshold value IcrAnd the duration exceeds the set time limit tcr(IcrAnd tcrIs matched with the current threshold value and the duration time limit set by the over-current protection of the equipment k so as to prevent the over-current protection of the equipment k from acting before the overload emergency control of the equipment k), t is determinedjThe active power and the reactive power of the equipment flowing through the k current monitoring points of the equipment at any moment are respectively recorded as PjAnd QjAnd the bus voltage connected with the k current monitoring point of the device is recorded as VjCalculating t by using the formula (1)jTime and IcrCorresponding device k overload active threshold value Pcr.jAnd will tjThe time of day can be used as t for a controllable set of measures for emergency control of the overload of the device kjEntering step 3 by using a controllable measure set C to be selected for overload emergency control of the equipment k at the moment, otherwise, ending the method, and starting judgment of equipment overload and calculation and implementation of emergency control decision from step 1 again;
Figure BDA0001287287630000081
the controllable measures comprise single plant station type controllable measures and non-single plant station type controllable measures, wherein the single plant station type controllable measures are subdivided into generator type controllable measures and load type controllable measures;
the single plant station type controllable measure is a controllable measure which only causes active power injection change of one plant station after execution; the generator controllable measures refer to controllable measures for reducing active power injection of the accessed plant after execution, for example: cutting a generator, splitting a small power grid with active power injection greater than 0, and the like; the load type controllable measures refer to controllable measures which cause the active power injection of the accessed plant station to increase after being executed, such as: load shedding and splitting of a small power grid with active power injection less than 0;
aiming at the controllable measures of a single plant station, adopting (TY, DN, L, P)DN.L.i.j,SDN.k.j) Where, TY is controllable measure type, including generator controllable measure and load controllable measure, DN is station name of controllable measure access, L is priority of controllable measure, P isDN.L.i.jIs tjThe active control quantity of the ith controllable measure with DN and priority L is accessed at any moment, SDN.k.jIs tjThe active injection change of the constantly accessed DN has the active sensitivity to the device k;
the priority of the controllable measures refers to the priority of the controllable measures when the controllable measures for implementation are selected, the higher the L of the controllable measures is, the more preferentially the controllable measures are, and no selection order constraint exists among the controllable measures with the same L;
the non-single plant station type controllable measure is a controllable measure which causes active injection changes of two or more plant stations after execution, for example: emergency modulation of power of a two-terminal or multi-terminal direct current system, emergency control of UPFC power and the like;
aiming at the controllable measures of the non-single plant station class, each plant station of a receiving end or a sending end which causes active power injection change after the controllable measures of the non-single plant station class are respectively generated into the controllable measures by adopting the same modeling mode as the controllable measures of the single plant station class, and the controllable measures of each plant station of the corresponding receiving end or sending end are combined to be used as the model of the controllable measures of the non-single plant station class, and [ (TY, DN-1, L, P) is adoptedDN-1.L.i.j,SDN-1.k.j),…,(TY,DN-m,L,PDN-m.L.i.j,SDN-m.k.j),…,(TY,DN-M,L,PDN-M.L.i.j,SDN-M.k.j)]Where M is the number of corresponding receiving or sending end stations, DN-M is the name of the mth station, PDN-m.L.i.jIs tjAccessing active control quantity S of ith controllable measure with DN-m and priority L at any timeDN-m.k.jIs tjThe active injection change of the constantly accessed DN-m has the active sensitivity to the equipment k;
step 3 in fig. 1: if j is 0, for each controllable measure in C, when t is setjWhen the active injection change of the time controllable measure access station to the sensitivity value mode of the equipment k active is the off-line mode, SDN.k.j、SDN-m.k.jRespectively taking the sensitivity offline setting value of active injection change of corresponding controllable measures accessed to DN and DN-m to the active of the equipment k when the set t isjWhen the active injection change of the time controllable measure access station to the sensitivity value mode of the equipment k active is the online mode, SDN.k.j、SDN-m.k.jAre taken as according to t0The latest calculated controllable measures of the power grid running state before the moment are accessed into active injection change of DN and DN-m and the active sensitivity value of the equipment k, the step 4 is entered, otherwise, the (P) is calculated firstlyj-1-Pj) And all single plant station controllable measures t in Fj-1Time of day | PDN.L.i.j-1Controllable measures t for | and all non-single plant stationsj-1Of time of day
Figure BDA0001287287630000101
Ratio of sums Sa.kThen, aiming at each station accessed by the controllable measures in the F, respectively sending Sgn (S)DN.k.j-1)Sa.kAs tjSensitivity S of active injection change of connected DN to active of equipment k by single plant station controllable measure at momentDN.k.j、Sgn(SDN-m.k.j-1)Sa.kAs tjThe sensitivity S of active injection change of the device k to the active of the DN-m of each controllable measure in the controllable measure combination corresponding to the non-single plant station controllable measure at any momentDN-m.k.jFinally, other plant stations t accessed by the controllable measures in the C except the plant stations accessed by the controllable measures in the F are accessedj-1Instant active power injection change pairing devicePrepared k has a reactive sensitivity as its tjThe sensitivity of active power injection change to the active power of the equipment k at all times enters step 4;
wherein, Pj-1Is tj-1Active power P of equipment flowing through k monitoring points of equipment at any timeDN.L.i.j-1、PDN-m.L.i.j-1Are each tj-1Active control quantity of the ith controllable measure with the priority of L and connected DN-m at any time, Sgn is a sign function, SDN.k.j-1、SDN-m.k.jAre each tj-1The sensitivity of active injection change of the controllable measure access DN to the equipment k at any moment to the equipment k and the sensitivity of active injection change of the controllable measure access DN-m to the equipment k;
step 4 in fig. 1: firstly, the effectiveness judgment for reducing the overload degree of the equipment k is carried out by aiming at a single station type controllable measure in the step C through the following method:
for generator-like controllable measures, if S thereofDN.k.jGreater than 0 and PDN.L.i.jIf not, determining the measure as an effective controllable measure, otherwise, determining the measure as an ineffective controllable measure;
for load-like controllable measures, if S thereofDN.k.jLess than 0 and PDN.L.i.jIf not, determining the measure as an effective controllable measure, otherwise, determining the measure as an ineffective controllable measure;
then, the effectiveness judgment for reducing the overload degree of the equipment k is carried out by aiming at the controllable measures of the non-single plant station in the step C through the following method:
if the effectiveness judgment is carried out on each controllable measure in the controllable measure combination corresponding to the non-single plant-type controllable measure according to the effectiveness judgment method of the single plant-type controllable measure, and all the controllable measures in the controllable measure combination are effective controllable measures, the non-single plant-type controllable measure is determined to be an effective controllable measure, otherwise, the non-single plant-type controllable measure is determined to be an ineffective controllable measure;
finally, taking a set consisting of all single plant station type effective controllable measures and non-single plant station type effective controllable measures in the step C as an effective controllable measure set D for the overload emergency control of the equipment k, and entering a step 5;
step 5 in fig. 1: taking controllable measure | S of single station class in DDN.k.j| is greater than a set sensitivity threshold value Scr(if the number of devices on the same plant and parallel to the device k including the device k is n, the number is usually set to 0.2/n), and any controllable measure | S in a controllable measure combination corresponding to the controllable measure on the same plant and not on the single plant in the step DDN-m.k.j| is greater than ScrThe set formed by the controllable measures of the non-single plant station class is used as an optimal controllable measure set E, and the step 6 is carried out;
step 6 in fig. 1: if the L is in the order from high to low, F can be searched from E, and | P of all single plant station controllable measures in the selected F is satisfiedDN.L.i.jSDN.k.jWith controllable measures for all non-single plant-stations
Figure BDA0001287287630000111
Sum of minimum and λ or morej(Pj-Pcr.j) And simultaneously aiming at each plant accessed by the single plant type controllable measure in the C, except the F, the | P of all the remaining single plant type controllable measures in the CDN.L.i.jThe sum of |, which is respectively more than or equal to the set active capacity P required to be reserved by each stationDN.r(generally set to t)0The total active power of the generator type controllable measures or the total active power of the load type controllable measures accessed by the plant at any moment) or the number of the remaining single plant type controllable measures is respectively more than or equal to the set number n of the single plant type controllable measures to be reserved by each plantDN.r(normally set to 1), then go to step 9, otherwise go to step 7;
wherein λ isjFor a set factor of degree of emergency control of k overload of the installation, 0 < lambda0<…<λj≤1;
Step 7 in fig. 1: if the L is in the order from high to low, F can be searched from D, and | P of all single plant station controllable measures in the selected F is satisfiedDN.L.i.jSDN.k.jWith controllable measures for all non-single plant-stations
Figure BDA0001287287630000112
Sum of minimum and λ or morej(Pj-Pcr.j) And simultaneously aiming at each plant accessed by the single plant type controllable measure in the C, except the F, the | P of all the remaining single plant type controllable measures in the CDN.L.i.jThe sum of | is respectively more than or equal to PDN.rOr the number of the remaining controllable measures of the single plant station class is respectively more than or equal to nDN.rIf so, entering step 9, otherwise, entering step 8;
step 8 in fig. 1: if the controllable measure set G needing to be reserved can be searched from the D according to the sequence of L from low to high, the | P of all the controllable measures of the single plant station class in the selected G is metDN.L.i.jSDN.k.jWith controllable measures for all non-single plant-stations
Figure BDA0001287287630000121
The sum is minimum, and the | P of each plant station accessed by the single plant station controllable measure in the G and all the single plant station controllable measures in the G are simultaneously aimed atDN.L.i.jThe sum of | is respectively more than or equal to PDN.rOr the number of controllable measures of a single plant is respectively more than or equal to nDN.rIf so, taking a set formed by the controllable measures except G in the step D as F, implementing all the controllable measures in the step F on the power grid, ending the method, starting the judgment of the equipment overload and the calculation and implementation of the emergency control decision from the step 1 again, otherwise, directly ending the method, and starting the judgment of the equipment overload and the calculation and implementation of the emergency control decision from the step 1 again;
the controllable measure set G needing to be reserved refers to a controllable measure set which is generated in real time according to the requirement of the reserved capacity or number of controllable measures of the plant and is not allowed to be implemented; step 9 in fig. 1: and (5) implementing all controllable measures in the F on the power grid, enabling j to be equal to (j +1), and returning to the step 2.
In short, in the embodiment, the measure sensitivity is evaluated after based on the emergency control implementation effect, so that the defect of poor adaptability of measure sensitivity offline setting is overcome, the defect that the sensitivity is calculated on line based on the power grid state and the sensitivity depends on the power grid online model and the power grid real-time power flow seriously is overcome, and the control precision, the real-time performance and the reliability can be comprehensively guaranteed by iteration of calculating the sensitivity and calculating the control measure until the overload of equipment is eliminated.
Although the present invention has been described in terms of the preferred embodiment, it is not intended that the invention be limited to the embodiment. Any equivalent changes or modifications made without departing from the spirit and scope of the present invention also belong to the protection scope of the present invention. The scope of the invention should therefore be determined with reference to the appended claims.

Claims (7)

1. The equipment overload self-adaptive emergency control method based on measure sensitivity automatic identification is characterized by comprising the following steps of:
1) recording equipment to be monitored as k, recording a controllable measure set for implementation after the overload of the equipment k is monitored as F, setting the execution time j of the F as 0, and entering the step 2);
2) if the current time tjThe current of the k current monitoring point of the equipment is larger than a set equipment overload emergency control current threshold value IcrAnd the duration exceeds the set time limit tcrThen t will bejThe active power and the reactive power of the equipment flowing through the k current monitoring points of the equipment at any moment are respectively recorded as PjAnd QjAnd the bus voltage connected with the k current monitoring point of the device is recorded as VjCalculating t by using the formula (1)jTime and IcrCorresponding device k overload active threshold value Pcr.jAnd will tjThe set of controllable measures available at the moment for emergency control of overload of device k is taken as tjEntering step 3) when the equipment k overloads the controllable measure set C to be selected for emergency control, or ending the method;
Figure FDA0002233440860000011
3) if j is 0, aiming at each station accessed by the controllable measures in C, when t is setjRespectively injecting active power into the plant station when the active power injection change of the controllable measure access to the plant station at the moment C has the sensitivity value mode of the active power of the equipment k as an off-line modeChanging the sensitivity offline setting value of the equipment k with work as tjThe sensitivity of active power injection change of the plant station to the active power of the equipment k at the moment; when t is setjWhen the active power injection change of the controllable measure access station at the moment C has the sensitivity value mode on the active power of the equipment k, the sensitivity value mode is an online mode according to t0The online value of the sensitivity of the active injection change of the controllable measure accessed to the plant station in the C newly calculated by the power grid running state before the moment to the active of the equipment k is taken as tjThe sensitivity of active power injection change of the plant station to the active power of the equipment k at the moment enters the step 4);
if j is not 0, recording the set of all plant stations accessed by the controllable measures in C as SC, recording the set of all plant stations accessed by the controllable measures in F as SF, and regarding each plant station in SF, taking the ratio of the overload change degree of the equipment after the implementation of all the controllable measures in F to the total amount of the controllable measures in F as tjThe active power injection changes of the plants at the moment have the active sensitivity on the equipment k; aiming at each station except the station in SF in SC, respectively carrying out tj-1The sensitivity of the active injection change to the device k at that moment is taken as its tjThe sensitivity of active power injection change to the active power of the equipment k at the moment enters the step 4);
4) determining the effectiveness of all the controllable measures in the step C, taking a set formed by all the effective controllable measures in the step C as an effective controllable measure set D for the overload emergency control of the equipment k, and entering the step 5);
5) if D is larger than the set sensitivity threshold value ScrThe set of controllable measures is taken as a preferred controllable measure set E, and the step 6) is carried out;
6) if F can be searched from E according to the controllable measure priority from high to low, then step 9) is entered, otherwise, step 7) is entered;
7) if F can be searched from D according to the controllable measure priority from high to low, then step 9) is entered, otherwise, step 8) is entered;
8) if a controllable measure set G needing to be reserved can be searched from D according to the controllable measure priority in the sequence from low to high, taking a set consisting of the controllable measures except G in D as F, implementing all the controllable measures in F on the power grid, and ending the method, otherwise, directly ending the method;
the controllable measure set G needing to be reserved refers to a controllable measure set which is generated in real time according to the requirement of the reserved capacity or number of controllable measures of the plant and is not allowed to be implemented;
9) and (5) implementing all controllable measures in the F on the power grid, increasing j by 1, and returning to the step 2).
2. The adaptive emergency control method for equipment overload based on measure sensitivity automatic identification according to claim 1, characterized in that:
the controllable measures comprise single plant station type controllable measures and non-single plant station type controllable measures, wherein the single plant station type controllable measures are divided into generator type controllable measures and load type controllable measures;
the single plant station type controllable measure is a controllable measure which only causes active power injection change of one plant station after execution; the generator controllable measures refer to controllable measures which cause the active power injection of the accessed plant station to be reduced after execution; the load type controllable measures refer to controllable measures which cause the increase of active power injection of the accessed plant station after execution;
aiming at the controllable measures of a single plant station, adopting (TY, DN, L, P)DN.L.i.j,SDN.k.j) The sequence is marked, wherein TY is a controllable measure type and comprises two types of controllable measures of a generator class and a load class, DN is the name of a station to which the controllable measure is accessed, L is the priority of the controllable measure, and P is the priority of the controllable measureDN.L.i.jIs tjThe active control quantity of the ith controllable measure with DN and priority L is accessed at any moment, SDN.k.jIs tjThe active injection change of the constantly accessed DN has the active sensitivity to the device k;
the priority of the controllable measures refers to the priority of the controllable measures when the controllable measures for implementation are selected, the higher the L of the controllable measures is, the more preferentially the controllable measures are, and no selection order constraint exists among the controllable measures with the same L;
the non-single plant station type controllable measure is a controllable measure which causes active injection changes of two or more plant stations after execution;
aiming at the controllable measures of the non-single plant station class, each plant station of a receiving end or a sending end which causes active power injection change after the controllable measures of the non-single plant station class are respectively generated into the controllable measures by adopting the same modeling mode as the controllable measures of the single plant station class, and the controllable measures of each plant station of the corresponding receiving end or sending end are combined to be used as the model of the controllable measures of the non-single plant station class, and [ (TY, DN-1, L, P) is adoptedDN-1.L.i.j,SDN-1.k.j),…,(TY,DN-m,L,PDN-m.L.i.j,SDN-m.k.j),…,(TY,DN-M,L,PDN-M.L.i.j,SDN-M.k.j)]The sequence is marked, wherein M is the number of the corresponding receiving end or sending end plant stations, DN-M is the name of the mth plant station, PDN-m.L.i.jIs tjAccessing active control quantity S of ith controllable measure with DN-m and priority L at any timeDN-m.k.jIs tjThe active injection variation of the instant access DN-m has a positive sensitivity to the device k.
3. The adaptive emergency control method for equipment overload based on measure sensitivity automatic identification according to claim 2, characterized in that in the step 3):
if j is 0, for each controllable measure in C, when t is setjWhen the active change of the time controllable measures accessed to the plant station has a sensitivity value mode of the equipment k to the active work, the S of the corresponding controllable measures is takenDN.k.j、SDN-m.k.jRespectively taking the sensitivity offline setting value of active injection change of corresponding controllable measures accessed to DN and DN-m to the active of the equipment k when the set t isjWhen the active injection change of the time controllable measures accessed to the plant station has the sensitivity value mode of the equipment k active, the S of the corresponding controllable measures is taken as the on-line modeDN.k.j、SDN-m.k.jAre taken as according to t0The latest calculated controllable measures of the power grid running state before the moment are accessed into active injection changes of DN and DN-m to the on-line value of the sensitivity of the active injection changes of the equipment k, and the step 4) is carried out;
if j is not 0, (P) is calculatedj-1-Pj) And all single plant station controllable measures t in Fj-1Time of day | PDN.L.i.j-1Controllable measures t for | and all non-single plant stationsj-1Of time of day
Figure FDA0002233440860000041
Ratio of sums Sa.kAiming at each station accessed by the controllable measures in the F, respectively sending Sgn (S)DN.k.j-1)Sa.kAs tjSensitivity S of active injection change of accessing DN by single plant station controllable measure at moment to active of equipment kDN.k.j、Sgn(SDN-m.k.j-1)Sa.kAs tjThe sensitivity S of active injection change of the device k to the active of the DN-m of each controllable measure in the controllable measure combination corresponding to the non-single plant station controllable measure at any momentDN-m.k.jAnd accessing other plant stations t accessed by the controllable measures in the C except the various plant stations accessed by the controllable measures in the Fj-1The sensitivity of the active injection change at a moment to the active of the device k as its tjThe sensitivity of active power injection change to the active power of the equipment k at the moment enters the step 4);
wherein, Pj-1Is tj-1Active power P of equipment flowing through k monitoring points of equipment at any timeDN.L.i.j-1、PDN-m.L.i.j-1Are each tj-1Active control quantity of the ith controllable measure with the priority of L and connected DN-m at any time, Sgn is a sign function, SDN.k.j-1、SDN-m.k.jAre each tj-1The sensitivity of active injection change of the controllable measure accessing DN to the equipment k at the moment to the active of the equipment k and the sensitivity of active injection change of the controllable measure accessing DN-m to the active of the equipment k.
4. The adaptive emergency control method for equipment overload based on measure sensitivity automatic identification according to claim 3, wherein in the step 4), the method for determining the effectiveness of the controllable measure in the step C is as follows:
and (3) carrying out effectiveness judgment for reducing the overload degree of the equipment k aiming at a single station type controllable measure in the step C by the following method:
for generator-like controllable measures, if S thereofDN.k.jGreater than 0 and PDN.L.i.jIf not, determining the measure as an effective controllable measure, otherwise, determining the measure as an ineffective controllable measure;
for load-like controllable measures, if S thereofDN.k.jLess than 0 and PDN.L.i.jIf not, determining the measure as an effective controllable measure, otherwise, determining the measure as an ineffective controllable measure;
and (3) carrying out effectiveness judgment on the reduction of the overload degree of the equipment k aiming at the controllable measures of the non-single station in the step C by the following method:
and respectively carrying out effectiveness judgment on each controllable measure in the controllable measure combination corresponding to the non-single plant-type controllable measure according to an effectiveness judgment method of the single plant-type controllable measure, if all the controllable measures in the corresponding controllable measure combination are effective controllable measures, determining the corresponding non-single plant-type controllable measure as an effective controllable measure, and otherwise, determining the corresponding non-single plant-type controllable measure as an invalid controllable measure.
5. The adaptive emergency control method for equipment overload based on measure sensitivity automatic identification according to claim 4, wherein F searched from E in the step 6) should satisfy the following condition:
| P of all single plant-station controllable measures in FDN.L.i.jSDN.k.jWith controllable measures for all non-single plant-stations
Figure FDA0002233440860000051
Sum of minimum and λ or morej(Pj-Pcr.j) And simultaneously aiming at each plant accessed by the single plant type controllable measure in the C, except the F, the | P of all the remaining single plant type controllable measures in the CDN.L.i.jThe sum of |, which is respectively more than or equal to the set active capacity P required to be reserved by each stationDN.rOr the number of the remaining single plant station type controllable measures is respectively more than or equal to the set number n of the single plant station type controllable measures required to be reserved by each plant stationDN.rThe requirements of (1); wherein λ isjFor a set factor of degree of emergency control of k overload of the installation, 0 < lambda0<…<λj≤1。
6. The adaptive emergency control method for equipment overload based on measure sensitivity automatic identification according to claim 4, wherein F searched from D in the step 7) should satisfy the following condition:
| P of all single plant-station controllable measures in FDN.L.i.jSDN.k.jWith controllable measures for all non-single plant-stations
Figure FDA0002233440860000052
Sum of minimum and λ or morej(Pj-Pcr.j) And simultaneously aiming at each plant accessed by the single plant type controllable measure in the C, except the F, the | P of all the remaining single plant type controllable measures in the CDN.L.i.jThe sum of |, which is respectively more than or equal to the set active capacity P required to be reserved by each stationDN.rOr the number of the remaining single plant station type controllable measures is respectively more than or equal to the set number n of the single plant station type controllable measures required to be reserved by each plant stationDN.rThe requirements of (1); wherein λ isjFor a set factor of degree of emergency control of k overload of the installation, 0 < lambda0<…<λj≤1。
7. The adaptive emergency control method for equipment overload based on measure sensitivity automatic identification according to claim 4, wherein the G searched from D in the step 8) should satisfy the following condition:
| P of all single plant-class controllable measures in GDN.L.i.jSDN.k.jWith controllable measures for all non-single plant-stations
Figure FDA0002233440860000061
The sum is minimum, and the | P of each plant station accessed by the single plant station controllable measure in the G and all the single plant station controllable measures in the G are simultaneously aimed atDN.L.i.jThe sum of |, which is respectively more than or equal to the set active capacity P required to be reserved by each stationDN.rOr the number of controllable measures of a single plant is respectively more than or equal to the set numberThe number n of single plant-station-type controllable measures to be reservedDN.rThe requirements of (1).
CN201710311610.7A 2017-05-05 2017-05-05 Equipment overload self-adaptive emergency control method based on measure sensitivity automatic identification Active CN107124006B (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
CN201710311610.7A CN107124006B (en) 2017-05-05 2017-05-05 Equipment overload self-adaptive emergency control method based on measure sensitivity automatic identification
PCT/CN2017/112346 WO2018201703A1 (en) 2017-05-05 2017-11-22 Adaptive equipment overload emergency control method based on automatic measure sensitivity identification

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710311610.7A CN107124006B (en) 2017-05-05 2017-05-05 Equipment overload self-adaptive emergency control method based on measure sensitivity automatic identification

Publications (2)

Publication Number Publication Date
CN107124006A CN107124006A (en) 2017-09-01
CN107124006B true CN107124006B (en) 2020-04-14

Family

ID=59726722

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710311610.7A Active CN107124006B (en) 2017-05-05 2017-05-05 Equipment overload self-adaptive emergency control method based on measure sensitivity automatic identification

Country Status (2)

Country Link
CN (1) CN107124006B (en)
WO (1) WO2018201703A1 (en)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107124006B (en) * 2017-05-05 2020-04-14 国电南瑞科技股份有限公司 Equipment overload self-adaptive emergency control method based on measure sensitivity automatic identification
CN112653124B (en) * 2020-11-09 2022-08-09 国电南瑞科技股份有限公司 Equipment overload real-time control method considering manual handling time limit and operation trend
CN113363991B (en) * 2021-07-02 2022-12-02 合肥工业大学 Tidal current control method based on comprehensive sensitivity

Family Cites Families (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN100590947C (en) * 2007-11-08 2010-02-17 国网南京自动化研究院 Large electric network on-line preventing control method based on static state and transient safety steady mode
CN103401232B (en) * 2013-04-24 2015-09-16 南京南瑞集团公司 Transient Security for Power Systems stablizes the PC cluster method of online emergency control policy
CN103715694B (en) * 2013-12-06 2015-12-09 南京南瑞集团公司 Voltage security based on synchro measure information stablizes self adaptation emergency control method
US9866029B2 (en) * 2014-11-04 2018-01-09 Nec Corporation Enhancing power system voltage stability using grid energy storage for voltage support
CN106130002B (en) * 2015-12-15 2018-09-14 国电南瑞科技股份有限公司 A kind of cutting load and dynamic partition control method for coordinating considering electric power safety accident risk
CN106099907B (en) * 2016-05-21 2018-11-30 国电南瑞科技股份有限公司 The online emergent control decision-making technique of meter and transient state and static security scleronomic constraint
CN106532717B (en) * 2016-11-04 2018-12-04 国网山东省电力公司电力科学研究院 Circuit overload based on comprehensive sensitivity analysis joins cutting load coordination optimizing method
CN107124006B (en) * 2017-05-05 2020-04-14 国电南瑞科技股份有限公司 Equipment overload self-adaptive emergency control method based on measure sensitivity automatic identification

Also Published As

Publication number Publication date
WO2018201703A1 (en) 2018-11-08
CN107124006A (en) 2017-09-01

Similar Documents

Publication Publication Date Title
CN107124006B (en) Equipment overload self-adaptive emergency control method based on measure sensitivity automatic identification
Zhang et al. SIME: A hybrid approach to fast transient stability assessment and contingency selection
EP3048698A1 (en) Method for multi-fault power restoration of power distribution network
CN102957208A (en) Intelligent monitoring device of power distribution transformer and control method thereof
CN108767848B (en) Electric power system fragile line identification and cascading failure prevention method
CN110601151A (en) Distribution line single-phase earth fault protection method and device based on transient zero sequence differential
CN104779608A (en) Safe stable on-line additional emergency control method of power system based on off-line strategy
US20230305050A1 (en) State estimation method for multi-stage voltage sag
CN101299530A (en) Intelligent joining-cutting method for large electrified wire netting equipment overloading on-line sensitiveness
US10476268B2 (en) Optimized decoupling and load shedding
CN112332375A (en) Marine low-voltage high-power direct-current intelligent power distribution module and control strategy thereof
CN107067126B (en) Thermal stability key power transmission channel identification method based on power flow transfer ratio
CN104218576B (en) A kind of reclosing power system transient stability wave method
CN114714948A (en) Charging overcurrent control method and device of battery system and storage medium
Sun et al. Online pre-analysis and real-time matching for controlled splitting of large-scale power networks
CN111123034A (en) Power grid fault diagnosis method based on automatic modeling of branch element incidence matrix
CN113922343B (en) Power distribution network protection fixed value setting method, terminal equipment and storage medium
Xu et al. Blackout risk assessment of cascading outages considering wind power uncertainty
US11050258B2 (en) Battery control system
CN106356857A (en) Unified power flow controller site-selecting method based on load variation rate index
CN112785037A (en) Method for optimizing inverse time limit overcurrent protection fixed value of power distribution network
JP6847808B2 (en) Supply and demand adjustment system, supply and demand adjustment method and supply and demand adjustment program
CN106786336B (en) The sampling of intelligent substation protective device single-point is abnormal to count greatly anti-error processing method
CN111146779A (en) Flexible safety control method and system for large power grid with sequential faults of power equipment
Negnevitsky Crisis management in power systems: A knowledge based approach

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant