WO2018201703A1 - 基于措施灵敏度自动辨识的设备过载自适应紧急控制方法 - Google Patents

基于措施灵敏度自动辨识的设备过载自适应紧急控制方法 Download PDF

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WO2018201703A1
WO2018201703A1 PCT/CN2017/112346 CN2017112346W WO2018201703A1 WO 2018201703 A1 WO2018201703 A1 WO 2018201703A1 CN 2017112346 W CN2017112346 W CN 2017112346W WO 2018201703 A1 WO2018201703 A1 WO 2018201703A1
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Prior art keywords
controllable
measures
active
measure
station
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English (en)
French (fr)
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
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State Grid Jiangsu Electric Power Co Ltd
State Grid Liaoning Electric Power Co Ltd
NARI Group Corp
NARI Technology Co Ltd
Fuxin Power Supply Co of State Grid Liaoning Electric Power Co Ltd
State Grid Corp of China SGCC
Original Assignee
State Grid Jiangsu Electric Power Co Ltd
State Grid Liaoning Electric Power Co Ltd
NARI Group Corp
NARI Technology Co Ltd
Fuxin Power Supply Co of State Grid Liaoning Electric Power Co Ltd
State Grid Corp of China SGCC
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Publication of WO2018201703A1 publication Critical patent/WO2018201703A1/zh
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—ELECTRIC POWER NETWORKS; CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for AC mains or AC distribution networks
    • H02J3/001—Arrangements for handling faults or abnormalities, e.g. emergencies or contingencies
    • H02J3/0012—Arrangements for handling faults or abnormalities, e.g. emergencies or contingencies characterised by the contingency detection means in AC networks, e.g. using phasor measurement units [PMU], synchrophasors or contingency analysis
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—ELECTRIC POWER NETWORKS; CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for AC mains or AC distribution networks
    • H02J3/12—Arrangements for adjusting voltage in AC networks by changing a characteristic of the network load
    • H02J3/14—Arrangements for adjusting voltage in AC networks by changing a characteristic of the network load by switching loads on to, or off from, the networks, e.g. progressively balanced loading
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—ELECTRIC POWER NETWORKS; CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for AC mains or AC distribution networks
    • H02J3/38—Arrangements for feeding a single network from two or more generators or sources in parallel; Arrangements for feeding already energised networks from additional generators or sources in parallel
    • H02J3/46—Controlling the sharing of generated power between the generators, sources or networks
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—ELECTRIC POWER NETWORKS; CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2105/00—Networks for supplying or distributing electric power characterised by their spatial reach or by the load
    • H02J2105/50—Networks for supplying or distributing electric power characterised by their spatial reach or by the load for selectively controlling the operation of the loads
    • H02J2105/52—Networks for supplying or distributing electric power characterised by their spatial reach or by the load for selectively controlling the operation of the loads for limitation of the power consumption in the networks or in one section of the networks, e.g. load shedding or peak shaving
    • Y—GENERAL 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
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
    • Y02B70/30—Systems 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
    • Y02B70/3225—Demand response systems, e.g. load shedding, peak shaving
    • Y—GENERAL 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
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS 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
    • Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
    • Y04S20/20—End-user application control systems
    • Y04S20/222—Demand response systems, e.g. load shedding, peak shaving

Definitions

  • the invention belongs to the technical field of power system safety emergency control. More specifically, the invention relates to a method suitable for overload adaptive emergency control of power system transmission equipment.
  • the device will not overload the grid. Because the sensitivity of the emergency control measures of different stations may be different and the operating status of other devices changes, if the sensitivity of the offline setting measures is adopted, If the equipment overload and cutting scheme is inevitable, there will be serious risk of over-control; if the equipment overload online control scheme based on the grid state online calculation measure sensitivity is adopted, when the grid online model and the grid real-time power flow are involved, when the grid online model range and grid operation status The accuracy of the estimation is not enough to fully reflect the sensitivity of the measures to the overload of the equipment. This online control scheme also has serious risk of over-control. It may also be caused by insufficient speed of the online control strategy to cause the equipment to break due to excessive overload time. For serious grid security issues.
  • the object of the present invention is to provide an equipment overload adaptive emergency control method that does not rely on the grid online model and the grid real-time power flow, and performs post-sensitivity evaluation based on the emergency control implementation effect, in view of the above problems in the prior art.
  • the basic principle of the invention lies in the product of the amount of control of the measure and the sensitivity of the measure to the overload of the device, reflecting the degree of influence on the overload of the device after the measure is implemented.
  • the degree of influence of the device overload and the control amount of the measure after the implementation of the measure can be used to estimate the sensitivity of the measure to the overload of the device. Since the sensitivity of different measures for accessing the same plant is the same, when calculating the sensitivity of a measure to the overload of the equipment, the calculated sensitivity can be used as the sensitivity of the device to the same as other measures connected to the plant. .
  • the emergency control measures that are more suitable for the real-time operation state of the power grid can be searched according to the control amount and sensitivity of the remaining measures.
  • the present invention is implemented by the following technical solutions, including the following steps:
  • step 1 1) Record the device to be monitored as k, set the controllable measure set for implementation after monitoring device k overload to F, set the execution count j of F to 0, and proceed to step 2);
  • the set of all the stations connected to the controllable measures in C is recorded as SC, and the set of all the stations connected to the controllable measures in F is recorded as SF, for each station in SF,
  • the ratio of the degree of equipment overload change after the implementation of all controllable measures in F to the total amount of controllable measures in F is taken as the sensitivity of the active injection change of these stations to the active power of equipment k at time t j ; for the SC except the SF medium station
  • controllable measure set G that needs to be retained can be searched from D according to the priority of the controllable measure in the order of low to high, then the set of controllable measures other than G in D is taken as F, End the method, otherwise, end the method;
  • the set G of controllable measures that need to be retained refers to a set of controllable measures that are not allowed to be implemented in real time according to the reserved capacity or number of controllable measures of the plant station;
  • controllable measures include controllable measures of a single plant and a non-single plant type controllable measure, of which The controllable measures of the first station type are divided into two types: controllable measures for generators and controllable measures for loads;
  • the single plant-type controllable measure refers to a controllable measure that only causes one plant station active injection change after execution;
  • the generator-type controllable measure refers to the controllable effect of reducing the active injection of the connected plant station after execution.
  • the load-type controllable measures refer to the controllable measures that result in an increase in the active injection of the connected plant after implementation;
  • the sequence is identified by (TY, DN, L, P DN.Lij , S DN.kj ), where TY is a type of controllable measure, including controllable measures and load class of generators.
  • TY is a type of controllable measure, including controllable measures and load class of generators.
  • DN is the name of the plant station with controllable measures
  • L is the priority of controllable measures
  • P DN.Lij is the ith controllable measure with access DN at time t j and priority L
  • the active control quantity, S DN.kj is the sensitivity of the active injection change of the access DN at time t j to the active power of the device k;
  • the priority of the controllable measure refers to the priority of the controllable measure when selecting the controllable measure for implementation.
  • the non-single-station type controllable measure refers to a controllable measure that causes a change in active injection of two or more stations after execution;
  • the receivers at the receiving end or the sending end that have caused the active injection change after execution will adopt the same modeling method as the controllable measures of the single plant station to generate controllable measures, and corresponding
  • the controllable measures of the receiving stations or the sending stations are combined as a model for controllable measures of non-single plant stations, using [(TY, DN-1, L, P DN-1.Lij , S DN-1).
  • the active control quantity of the controllable measure, S DN-mkj is the sensitivity of the active injection change of the access DN-m to the active power of the device k at time t j .
  • step 3 A further feature of the above technical solution is that in the step 3):
  • the corresponding controllable measures S DN.kj and S DN-mkj are respectively taken as the corresponding controllable measures to access the DN and DN-m active changes to the device k active sensitivity offline setting value, when the set t j time controllable measures to access the plant station
  • the S DN.kj and S DN-mkj of the corresponding controllable measures are respectively calculated as the latest calculation based on the grid operating state before the time t 0 .
  • the control measures access the active value of the active change of the DN and the DN-m to the active value of the device k, and proceeds to step 4);
  • Control measures t j-1 The ratio S ak of the sum of the Sgn(S DN.kj-1 )S a . k is used as the controllable measure of the single plant station at the time t j to access the DN for each plant station that can be controlled by the controllable measures in F.
  • the sensitivity of the active injection change to the active energy of the device k S DN.kj , Sgn(S DN-mkj-1 )S a .
  • controllable measures the access stations each plant station C t j -1 moment of active injection change sensitivity to device k, as the sensitivity of active input change to device k at time t j , proceeds to step 4);
  • P j-1 is the device that flows through the monitoring point of the device k at time t j-1
  • P DN.Lij-1 and P DN-mLij-1 respectively access the DN at time t j-1
  • the priority is L
  • Sgn is the sign function
  • the sensitivity of the active injection change of the controllable measure accessing the DN at t j-1 is the sensitivity of the active power of the device k and the sensitivity of the controllable measure to the active injection of the DN-m to the active power of the device k.
  • step 4 the method for determining the effectiveness of the controllable measure in C is:
  • the effectiveness of each controllable measure in the controllable measures combination corresponding to the controllable measures of the non-single plant type is determined respectively, such as all controllable in the corresponding controllable measures combination If the measures are effective and controllable measures, then the corresponding non-single-station-type controllable measures are determined as effective and controllable measures. Otherwise, the corresponding non-single-station-type controllable measures are determined as invalid and controllable measures;
  • the present invention achieves the following technical effects: even if the measure sensitivity of the offline setting as the initial value of the measure sensitivity or the sensitivity of the measure based on the online state of the power grid state is relatively poor, when all controllable measures are connected in the same factory At the station, the sensitivity of the measures taken by the degree of influence of the equipment overload and the control amount of the measures after the implementation of the measures is the actual value of the sensitivity of the measures in the current operating state of the grid, and the accuracy of the emergency control measures calculated according to this is very high.
  • the average sensitivity of the multiple measures of the equipment overload after the implementation of the measures and the control amount of the measures are taken as the relevant plant station measures
  • the sensitivity in most cases, is relatively high in accuracy relative to the accuracy of the initial sensitivity of the measure.
  • the invention introduces a device overload emergency control degree coefficient of less than or equal to 1 and gradually increases with the number of iterations, which can further reduce the accuracy of the initial sensitivity of the measure and the error of the sensitivity of the relevant plant station with the average sensitivity as the accuracy of the emergency control measure. influence level.
  • the iterative strategy of “inferred sensitivity-calculation control measures” can ultimately eliminate equipment overload.
  • the invention not only overcomes the defect that the sensitivity of the measure offline setting is poor, but also avoids the limitation that the on-line calculation sensitivity based on the grid state is heavily dependent on the grid online model and the real-time power flow of the grid, and comprehensively guarantees the accuracy and real-time realization of the equipment overload emergency control. Sex and reliability.
  • Figure 1 is a flow chart of the method of the present invention.
  • This embodiment is an implementation manner of the present invention, and the flow thereof is shown in FIG. 1 .
  • Step 1 in Figure 1 the number of executions j of the controllable measure set F used for implementation after monitoring the device k is overloaded is set to 0, and proceeds to step 2;
  • Step 2 in Figure 1 If the current at the current time t j device k current monitoring point is greater than the set device overload emergency control current threshold I cr and the duration exceeds the set time limit t cr (I cr and t cr must be In conjunction with the current threshold and duration of the device k overcurrent protection setting to prevent the device k overcurrent protection from acting before its overload emergency control, the device that flows through the device k current monitoring point at time t j is active and reactive are denoted bus voltage P j and Q j, equipment k current monitoring points connected referred to as V j, using equation (1) is calculated t j time and I cr corresponding device k overload active power threshold P cr.
  • Step 3 proceeds to step 3, otherwise, end the process, again from Step 1 begins the judgment of equipment overload and the calculation and implementation of emergency control decisions;
  • controllable measures include controllable measures of a single plant and a non-single plant type controllable measure, wherein the controllable measures of a single plant and station are further subdivided into two types: controllable measures for generators and controllable measures for loads;
  • the single plant-type controllable measure refers to a controllable measure that only causes one plant station active injection change after execution;
  • the generator-type controllable measure refers to the controllable effect of reducing the active injection of the connected plant station after execution. Measures such as: cutting the generator, unpacking a small grid with active injection greater than 0, etc.;
  • the application refers to the controllable measures that cause the active injection of the connected plant to increase after execution, such as: load shedding, disengagement of small power grid with active injection less than 0;
  • control measures of a single plant type it is represented by (TY, DN, L, P DN.Lij , S DN.kj ), where TY is the type of controllable measures, including controllable measures for generators and load types.
  • TY is the type of controllable measures, including controllable measures for generators and load types.
  • DN is the name of the plant station with controllable measures
  • L is the priority of controllable measures
  • P DN.Lij is the ith controllable measure with access DN and priority L at time t j
  • S DN.kj is the sensitivity of the active injection change of the access DN at time t j to the active power of the device k;
  • the priority of the controllable measure refers to the priority of the controllable measure when selecting the controllable measure for implementation.
  • controllable measures of the non-single plant station type refer to controllable measures that cause active injection changes of two or more plant stations after execution, for example: power emergency modulation of two or more DC systems, UPFC power emergency control, etc.;
  • the receivers at the receiving end or the sending end that have caused the active injection change after execution will adopt the same modeling method as the controllable measures of the single plant station to generate controllable measures, and corresponding
  • the controllable measures of the receiving stations or the sending stations are combined as a model for controllable measures of non-single plant stations, using [(TY, DN-1, L, P DN-1.Lij , S DN-1).
  • Step 3 in Figure 1 If j is 0, for each controllable measure in C, when the set of t j is controllable, the active injection change of the access station is sensitive to the active value of the device k is offline mode.
  • S DN.kj and S DN-mkj are respectively taken as the corresponding controllable measures to access the DN, DN-m active injection change to the sensitivity of the equipment k active offline setting value, when the set t j time controllable measures to access the plant
  • S DN.kj and S DN-mkj are respectively taken as the latest controllable measures access DN calculated according to the grid operation state before time t 0 .
  • the active injection of DN-m changes the sensitivity of the active value of the device k, go to step 4, otherwise, first calculate (P j-1 -P j ) and all the single plant-like controllable measures in F t j-1 Time
  • S ak of the sum, and then for each plant station accessed by the controllable measures in F, respectively, Sgn(S DN.kj-1 )S ak is used as the active control of the single plant type to access the DN at time t j
  • Sensitivity of injection injection change to device k S DN.kj and Sgn(S DN-mkj-1 )S ak are used as controllable measures in the controllable measures corresponding to controllable measures of non-single plant type at time t j
  • the active injection change of DN-m has the sensitivity S DN-mkj for the active power
  • P j-1 is the device that flows through the monitoring point of the device k at time t j-1
  • P DN.Lij-1 and P DN-mLij-1 respectively access the DN at time t j-1
  • the priority is L
  • Sgn is the sign function, S DN.kj-1 , S DN-mkj
  • Step 4 in Figure 1 Firstly, the effectiveness of reducing the overload level of equipment k is determined for the controllable measures of a single plant type in C by the following method:
  • step 5 the set of effective controllable measures of all single plant stations in C and the effective controllable measures of non-single plant type are taken as the effective controllable measure set D of equipment k overload emergency control, proceed to step 5;
  • Step 5 in Figure 1 Controllable measures for a single plant class in D
  • greater than S cr a set of controllable measures that are not a single plant station, as a preferred controllable measure set E, proceeds to step 6;
  • Step 6 in Figure 1 If you follow the order of L from high to low, you can search for F from E, and satisfy the
  • of the controllable measures is greater than or equal to the set factory station needs to retain the active capacity P DN.r (usually set to t 0 at the time of the plant access to the generator class control measures are always active or The total number of controllable measures for load control is 10%) or the number of controllable measures for the remaining single plant stations is greater than or equal to the number of controllable measures for a single plant station that need to be reserved for each plant station.
  • ⁇ j is the set device k overload emergency control degree coefficient, 0 ⁇ ⁇ 0 ⁇ ... ⁇ ⁇ j ⁇ 1;
  • Step 7 in Figure 1 If F is searched from D in order of high to low L, the
  • Step 8 in Figure 1 If the order of L is from low to high, the controllable measure set G that needs to be retained can be searched from D, satisfying the
  • the set G of controllable measures to be retained refers to a set of controllable measures that are not allowed to be implemented in real time according to the reserved capacity or number of controllable measures of the plant station; Step 9 in Figure 1: Implementing all controllable in the F Take measures and let j equal (j+1) and return to step 2.
  • the present embodiment performs the sensitivity post-evaluation based on the implementation effect of the emergency control, which not only overcomes the defect that the sensitivity of the measure is offline, but also avoids the on-line calculation sensitivity based on the grid state and relies heavily on the grid online model and the grid real-time power flow. Insufficient, through the iteration of "inferred sensitivity - calculation control measures" until the device overload is eliminated, comprehensive control of control accuracy, real-time and reliability can be realized.

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Abstract

一种基于措施灵敏度自动辨识的设备过载自适应紧急控制方法，该方法针对单个开断或与同站并行设备全开断不造成电网解列的设备过载紧急控制，在首次判断出设备过载时，根据措施灵敏度初值，计算设备过载紧急控制措施组合，对电网实施控制，再根据控制效果，推算措施的综合灵敏度，并将其用于更新最近实施的措施所接入厂站的其它措施的灵敏度，计算设备过载紧急控制措施组合，通过"推算灵敏度-计算控制措施"的迭代，直至消除设备过载。该方法可实现控制精度、实时性和可靠性的综合保障。

Description

基于措施灵敏度自动辨识的设备过载自适应紧急控制方法 技术领域
本发明属于电力系统安全紧急控制技术领域，更准确地说，本发明涉及一种适用于电力系统输电设备过载自适应紧急控制的方法。
背景技术
电网发电、负荷的快速变化或者电网设备投/退等因素都可能会导致电网输电线路、变压器的过载，当过载程度比较严重时，就需要采取紧急控制措施，以消除输电设备的过载。对于单个开断或与同站并行设备(指各端母线相同或母线不同但只通过开关连接在一起的多个输电设备)全开断就会造成电网解列的设备过载，由于不同站的紧急控制措施灵敏度都相同且不随含过载设备在内的输电断面之外其它设备运行状态变化，通过离线设置措施灵敏度，将设备过载程度与灵敏度乘积作为紧急控制措施的控制总量，采用过载联切方案就可以实现设备过载的紧急控制。
但是，对于单个开断或与同站并行设备全开断不会造成电网解列的设备过载，由于不同站的紧急控制措施灵敏度可能不同且随其它设备运行状态变化，若采用离线设置措施灵敏度的设备过载联切方案，则必然存在严重过控风险；若采用基于电网状态在线计算措施灵敏度的设备过载在线控制方案，由于涉及到电网在线模型和电网实时潮流，当电网在线模型范围和电网运行状态的估计精度不足以完全反映措施对设备过载的灵敏度时，这种在线控制方案同样存在严重过控风险，还有可能因在线控制策略生成速度不够导致设备因过载时间过长而开断，引发更为严重的电网安全问题。
发明内容
本发明目的是：针对现有技术中的上述问题，提出不依赖电网在线模型和电网实时潮流、基于紧急控制实施效果进行措施灵敏度后评估的设备过载自适应紧急控制方法。
本发明的基本原理在于：措施的控制量与措施对设备过载的灵敏度的乘积，反映了措施实施后对设备过载的影响程度。在预先不能确定措施对设备过载的灵敏度时，可以通过措施实施后设备过载的影响程度和措施的控制量，推算出措施对设备过载的灵敏度。由于接入同一厂站的不同措施的灵敏度相同，当推算出某个措施对设备过载的灵敏度时，则可以用推算出的灵敏度作为与该措施接入厂站相同的其它措施对设备过载的灵敏度。在设备过载还没有完全消除的情况，就可以根据余下措施的控制量及其灵敏度搜索到更为适应电网实时运行状态的紧急控制措施。通过“推算灵敏度-计算控制措施”的迭代，直至消除设备过载，可实现控制精度、实时性和可靠性综合保障。
具体地说，本发明是采用以下技术方案实现的，包括以下步骤：
1)将待监测的设备记为k，将监测到设备k过载后用于实施的可控措施集记为F，将F的执行次数j置为0，进入步骤2)；
2)若当前时刻tj设备k电流监测点的电流大于设定的设备过载紧急控制电流门槛值Icr且持续时间超过设定时限tcr，则将tj时刻流经设备k电流监测点的设备有功和无功分别记为Pj和Qj，设备k电流监测点所连接的母线电压记为Vj，采用公式(1)计算出tj时刻与Icr对应的设备k过载有功门槛值Pcr.j，并将tj时刻可用于设备k过载紧急控制的可控措施集合作为tj时刻设备k过载紧急控制的待选可控措施集C，进入步骤3)，否则，结束本方法；
Figure PCTCN2017112346-appb-000001
3)若j为0，针对C中可控措施接入的各个厂站，当设置的tj时刻C中可控措施接入厂站的有功注入变化对设备k有功的灵敏度取值方式为离线模式时，分别将其有功注入变化对设备k有功的灵敏度离线整定值作为tj时刻该厂站的有功注入变化对设备k有功的灵敏度；当设置的tj时刻C中可控措施接入厂站的有功注入变化对设备k有功的灵敏度取值方式为在线模式时，分别将根据t0时 刻之前的电网运行状态最新计算出的C中可控措施接入厂站的有功注入变化对设备k有功的灵敏度在线值作为tj时刻该厂站的有功注入变化对设备k有功的灵敏度，进入步骤4)；
若j不为0，将C中可控措施接入的所有厂站的集合记为SC，将F中可控措施接入的所有厂站的集合记为SF，针对SF中各个厂站，将F中所有可控措施实施后设备过载变化程度与F中可控措施总量的比值作为tj时刻这些厂站的有功注入变化对设备k有功的灵敏度；针对SC中除SF中厂站之外的各个厂站，分别将其tj-1时刻有功注入变化对设备k有功的灵敏度作为其tj时刻有功注入变化对设备k有功的灵敏度，进入步骤4)；
4)确定C中所有可控措施的有效性，将C中所有有效的可控措施组成的集合作为设备k过载紧急控制的有效可控措施集D，进入步骤5)；
5)将D中大于设定的灵敏度门槛值Scr的可控措施组成的集合作为优选可控措施集E，进入步骤6)；
6)若根据可控措施优先级按照由高到低的顺序，能够从E中搜索到F，则进入步骤9)，否则，进入步骤7)；
7)若根据可控措施优先级按照由高到低的顺序，能够从D中搜索到F，则进入步骤9)，否则，进入步骤8)；
8)若根据可控措施优先级按照由低到高的顺序，能够从D中搜索到需要保留的可控措施集G，则将D中除G之外的可控措施组成的集合作为F，结束本方法，否则，结束本方法；
所述需要保留的可控措施集G是指根据厂站的可控措施保留容量或数目要求实时生成的不允许实施的可控措施集合；
9)对电网实施F中所有可控措施，并令j增1，返回步骤2)。
上述技术方案的进一步特征在于：
所述可控措施包括单一厂站类可控措施和非单一厂站类可控措施，其中单 一厂站类可控措施又分为发电机类可控措施和负荷类可控措施两种；
所述单一厂站类可控措施是指执行后只造成一个厂站有功注入变化的可控措施；所述发电机类可控措施是指执行后造成所接入厂站有功注入减少的可控措施；所述负荷类可控措施是指执行后造成所接入厂站有功注入增加的可控措施；
针对单一厂站类可控措施，采用(TY,DN,L,PDN.L.i.j,SDN.k.j)序列加以标识，其中，TY为可控措施类型，包括发电机类可控措施和负荷类可控措施两种，DN为可控措施接入的厂站名，L为可控措施的优先级，PDN.L.i.j为tj时刻接入DN、优先级为L的第i个可控措施的有功控制量，SDN.k.j为tj时刻接入DN的有功注入变化对设备k有功的灵敏度；
所述可控措施的优先级是指在选择用于实施的可控措施时可控措施的优先次序，可控措施的L越高，越优先选择，相同L的可控措施之间没有选择次序约束；
所述非单一厂站类可控措施是指执行后造成两个及以上厂站有功注入变化的可控措施；
针对非单一厂站类可控措施，将其执行后造成有功注入变化的受端或送端各个厂站分别采用与单一厂站类可控措施相同的建模方式生成可控措施，并将相应的受端或送端各个厂站的可控措施进行组合，作为非单一厂站类可控措施的模型，采用[(TY,DN-1,L,PDN-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)]序列加以标识，其中，M为相应的受端或送端厂站数，DN-m为第m个厂站名，PDN-m.L.i.j为tj时刻接入DN-m、优先级为L的第i个可控措施的有功控制量，SDN-m.k.j为tj时刻接入DN-m的有功注入变化对设备k有功的灵敏度。
上述技术方案的进一步特征在于，所述步骤3)中：
若j为0，针对C中各个可控措施，当设置的tj时刻可控措施接入厂站的有 功变化对设备k有功的灵敏度取值方式为离线模式时，则将相应可控措施的SDN.k.j、SDN-m.k.j分别取为相应的可控措施接入DN、DN-m的有功变化对设备k有功的灵敏度离线整定值，当设置的tj时刻可控措施接入厂站的有功变化对设备k有功的灵敏度取值方式为在线模式时，则将相应可控措施的SDN.k.j、SDN-m.k.j分别取为根据t0时刻之前的电网运行状态最新计算出的可控措施接入DN和DN-m的有功变化对设备k有功的灵敏度在线值，进入步骤4)；
若j不为0，计算出(Pj-1-Pj)与F中所有单一厂站类可控措施tj-1时刻的|PDN.L.i.j-1|及所有非单一厂站类可控措施tj-1时刻的
Figure PCTCN2017112346-appb-000002
之和的比值Sa.k，针对F中可控措施接入的各个厂站，分别将Sgn(SDN.k.j-1)Sa.k作为tj时刻单一厂站类可控措施接入DN的有功注入变化对设备k有功的灵敏度SDN.k.j、Sgn(SDN-m.k.j-1)Sa.k作为tj时刻非单一厂站类可控措施对应的可控措施组合中各个可控措施接入DN-m的有功注入变化对设备k有功的灵敏度SDN-m.k.j，并将除F中可控措施接入的各个厂站之外的C中可控措施接入的其它厂站tj-1时刻有功注入变化对设备k有功的灵敏度，作为其tj时刻有功注入变化对设备k有功的灵敏度，进入步骤4)；
其中，Pj-1为tj-1时刻流经设备k监测点的设备有功，PDN.L.i.j-1、PDN-m.L.i.j-1分别为tj-1时刻接入DN、优先级为L的第i个可控措施的有功控制量和接入DN-m、优先级为L的第i个可控措施的有功控制量，Sgn为符号函数，SDN.k.j-1、SDN-m.k.j分别为tj-1时刻可控措施接入DN的有功注入变化对设备k有功的灵敏度和可控措施接入DN-m的有功注入变化对设备k有功的灵敏度。
上述技术方案的进一步特征在于，所述步骤4)中，确定C中可控措施有效性的方法为：
通过以下方法针对C中单一厂站类可控措施进行降低设备k过载程度的有效性判断：
对于发电机类可控措施，若其SDN.k.j大于0且PDN.L.i.j不等于0，则确定为有效 可控措施，否则，确定为无效可控措施；
对于负荷类可控措施，若其SDN.k.j小于0且PDN.L.i.j不等于0，则确定为有效可控措施，否则，确定为无效可控措施；
通过以下方法针对C中非单一厂站类可控措施进行降低设备k过载程度的有效性判断：
按单一厂站类可控措施的有效性判断方法分别对非单一厂站类可控措施对应的可控措施组合中各个可控措施进行有效性判断，如对应的可控措施组合中所有可控措施都是有效可控措施，则确定相应非单一厂站类可控措施为有效可控措施，否则，确定相应非单一厂站类可控措施为无效可控措施；
上述技术方案的进一步特征在于，所述步骤6)中从E中搜索到的F应满足以下条件：
F中所有单一厂站类可控措施的|PDN.L.i.jSDN.k.j|与所有非单一厂站类可控措施的
Figure PCTCN2017112346-appb-000003
之和最小且大于等于λj(Pj-Pcr.j)，同时针对C中单一厂站类可控措施所接入的各个厂站，除F之外C中余下的所有单一厂站类可控措施的|PDN.L.i.j|之和分别大于等于设定的各个厂站需要保留有功容量PDN.r或者余下的单一厂站类可控措施数分别大于等于设定的各个厂站需要保留的单一厂站类可控措施数nDN.r的要求；其中，λj为设定的设备k过载紧急控制程度系数，0＜λ0＜…＜λj≤1。
上述技术方案的进一步特征在于，所述步骤7)中从D中搜索到的F应满足以下条件：
F中所有单一厂站类可控措施的|PDN.L.i.jSDN.k.j|与所有非单一厂站类可控措施的
Figure PCTCN2017112346-appb-000004
之和最小且大于等于λj(Pj-Pcr.j)，同时针对C中单一厂站类可控措施所接入的各个厂站，除F之外C中余下的所有单一厂站类可控措施的|PDN.L.i.j|之和分别大于等于设定的各个厂站需要保留有功容量PDN.r或者余下的单 一厂站类可控措施数分别大于等于设定的各个厂站需要保留的单一厂站类可控措施数nDN.r的要求；其中，λj为设定的设备k过载紧急控制程度系数，0＜λ0＜…＜λj≤1。
上述技术方案的进一步特征在于，所述步骤8)中从D中搜索到的G应满足以下条件：
G中所有单一厂站类可控措施的|PDN.L.i.jSDN.k.j|与所有非单一厂站类可控措施的
Figure PCTCN2017112346-appb-000005
之和最小，同时针对G中单一厂站类可控措施所接入的各个厂站，G中的所有单一厂站类可控措施的|PDN.L.i.j|之和分别大于等于设定的各个厂站需要保留有功容量PDN.r或者单一厂站类可控措施数分别大于等于设定的各个厂站需要保留的单一厂站类可控措施数nDN.r的要求。
通过采用上述技术方案，本发明取得了下述技术效果：即使作为措施灵敏度初值的离线设置的措施灵敏度或基于电网状态在线计算的措施灵敏度精度比较差，当所有可控措施都接在同一厂站时，通过措施实施后设备过载的影响程度和措施的控制量推算出的措施对设备过载的灵敏度就是电网当前运行状态下措施的灵敏度实际值，据此计算出的紧急控制措施精度就很高；当初次确定的多个措施接在不同厂站时，将措施实施后设备过载的影响程度和措施的控制量推算出的多个措施对设备过载的平均灵敏度，作为相关厂站措施对设备过载的灵敏度，大多数情况下相对于措施灵敏度初值的精度，其精度也比较高。同时，本发明引入了小于等于1且随迭代次数逐渐增大的设备过载紧急控制程度系数，可进一步降低措施灵敏度初值精度和以平均灵敏度作为相关厂站灵敏度存在的误差对紧急控制措施精度的影响程度。此外，采用“推算灵敏度-计算控制措施”的迭代策略，可最终消除设备过载。因此，本发明既克服了措施灵敏度离线设置适应性差的缺陷，又避免了基于电网状态在线计算灵敏度严重依赖电网在线模型和电网实时潮流的不足，综合保障了实现设备过载紧急控制的精度、实时 性和可靠性。
附图说明
图1为本发明方法的流程图。
具体实施方式
下面参照附图对本发明作进一步详细描述。
实施例1：
本实施例为本发明的一种实施方式，其流程如图1所示，
图1中步骤1：将监测到设备k过载后用于实施的可控措施集F的执行次数j置为0，进入步骤2；
图1中步骤2：若当前时刻tj设备k电流监测点的电流大于设定的设备过载紧急控制电流门槛值Icr且持续时间超过设定时限tcr(Icr和tcr的取值要与设备k过电流保护设定的电流门槛值和持续时限相配合，以避免设备k过电流保护在其过载紧急控制之前动作)，则将tj时刻流经设备k电流监测点的设备有功和无功分别记为Pj和Qj，设备k电流监测点所连接的母线电压记为Vj，采用公式(1)计算出tj时刻与Icr对应的设备k过载有功门槛值Pcr.j，并将tj时刻可用于设备k过载紧急控制的可控措施集合，作为tj时刻设备k过载紧急控制的待选可控措施集C，进入步骤3，否则，结束本方法，重新从步骤1开始设备过载的判断及紧急控制决策计算与实施；
Figure PCTCN2017112346-appb-000006
所述可控措施包括单一厂站类可控措施和非单一厂站类可控措施，其中单一厂站类可控措施又细分为发电机类可控措施和负荷类可控措施两种；
所述单一厂站类可控措施是指执行后只造成一个厂站有功注入变化的可控措施；所述发电机类可控措施是指执行后造成所接入厂站有功注入减少的可控措施，例如：切发电机、解列有功注入大于0的小电网等；所述负荷类可控措 施是指执行后造成所接入厂站有功注入增加的可控措施，例如：切负荷、解列有功注入小于0的小电网等；
针对单一厂站类可控措施，采用(TY,DN,L,PDN.L.i.j,SDN.k.j)来表示，其中，TY为可控措施类型，包括发电机类可控措施和负荷类可控措施两种，DN为可控措施接入的厂站名，L为可控措施的优先级，PDN.L.i.j为tj时刻接入DN、优先级为L的第i个可控措施的有功控制量，SDN.k.j为tj时刻接入DN的有功注入变化对设备k有功的灵敏度；
所述可控措施的优先级是指在选择用于实施的可控措施时可控措施的优先次序，可控措施的L越高，越优先选择，相同L的可控措施之间没有选择次序约束；
所述非单一厂站类可控措施是指执行后造成两个及以上厂站有功注入变化的可控措施，例如：两端或多端直流系统功率紧急调制、UPFC功率紧急控制等；
针对非单一厂站类可控措施，将其执行后造成有功注入变化的受端或送端各个厂站分别采用与单一厂站类可控措施相同的建模方式生成可控措施，并将相应的受端或送端各个厂站的可控措施进行组合，作为非单一厂站类可控措施的模型，采用[(TY,DN-1,L,PDN-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)]来表示，其中，M为相应的受端或送端厂站数，DN-m为第m个厂站名，PDN-m.L.i.j为tj时刻接入DN-m、优先级为L的第i个可控措施的有功控制量，SDN-m.k.j为tj时刻接入DN-m的有功注入变化对设备k有功的灵敏度；
图1中步骤3：若j为0，针对C中各个可控措施，当设置的tj时刻可控措施接入厂站的有功注入变化对设备k有功的灵敏度取值方式为离线模式时，SDN.k.j、SDN-m.k.j分别取为相应的可控措施接入DN、DN-m的有功注入变化对设备k有功的灵敏度离线整定值，当设置的tj时刻可控措施接入厂站的有功注入变化对设备k有功的灵敏度取值方式为在线模式时，SDN.k.j、SDN-m.k.j分别取为根据t0时 刻之前的电网运行状态最新计算出的可控措施接入DN和DN-m的有功注入变化对设备k有功的灵敏度在线值，进入步骤4，否则，先计算出(Pj-1-Pj)与F中所有单一厂站类可控措施tj-1时刻的|PDN.L.i.j-1|与所有非单一厂站类可控措施tj-1时刻的
Figure PCTCN2017112346-appb-000007
之和的比值Sa.k，再针对F中可控措施接入的各个厂站，分别将Sgn(SDN.k.j-1)Sa.k作为tj时刻单一厂站类可控措施接入DN的有功注入注入变化对设备k有功的灵敏度SDN.k.j、Sgn(SDN-m.k.j-1)Sa.k作为tj时刻非单一厂站类可控措施对应的可控措施组合中各个可控措施接入DN-m的有功注入变化对设备k有功的灵敏度SDN-m.k.j，最后，将除F中可控措施接入的各个厂站之外的C中可控措施接入的其它厂站tj-1时刻有功注入变化对设备k有功的灵敏度，作为其tj时刻有功注入变化对设备k有功的灵敏度，进入步骤4；
其中，Pj-1为tj-1时刻流经设备k监测点的设备有功，PDN.L.i.j-1、PDN-m.L.i.j-1分别为tj-1时刻接入DN、优先级为L的第i个可控措施的有功控制量和接入DN-m、优先级为L的第i个可控措施的有功控制量，Sgn为符号函数，SDN.k.j-1、SDN-m.k.j分别为tj-1时刻可控措施接入DN的有功注入变化对设备k有功的灵敏度和可控措施接入DN-m的有功注入变化对设备k有功的灵敏度；
图1中步骤4：首先，通过以下方法针对C中单一厂站类可控措施进行降低设备k过载程度的有效性判断：
对于发电机类可控措施，若其SDN.k.j大于0且PDN.L.i.j不等于0，则确定为有效可控措施，否则，确定为无效可控措施；
对于负荷类可控措施，若其SDN.k.j小于0且PDN.L.i.j不等于0，则确定为有效可控措施，否则，确定为无效可控措施；
然后，通过以下方法针对C中非单一厂站类可控措施进行降低设备k过载程度的有效性判断：
若按单一厂站类可控措施的有效性判断方法分别对非单一厂站类可控措施 对应的可控措施组合中各个可控措施进行有效性判断，且该可控措施组合中所有可控措施都是有效可控措施，则确定该非单一厂站类可控措施为有效可控措施，否则，确定该非单一厂站类可控措施为无效可控措施；
最后，将C中所有单一厂站类有效可控措施和非单一厂站类有效可控措施组成的集合，作为设备k过载紧急控制的有效可控措施集D，进入步骤5；
图1中步骤5：将D中单一厂站类可控措施|SDN.k.j|大于设定的灵敏度门槛值Scr(设包括设备k在内与设备k并行的同厂站设备数为n，则通常设置为0.2/n)的单一厂站类可控措施和D中非单一厂站类可控措施对应的可控措施组合中任一可控措施|SDN-m.k.j|大于Scr的非单一厂站类可控措施组成的集合，作为优选可控措施集E，进入步骤6；
图1中步骤6：若按照L由高到低的顺序，能够从E中搜索到F，满足所选择的F中所有单一厂站类可控措施的|PDN.L.i.jSDN.k.j|与所有非单一厂站类可控措施的
Figure PCTCN2017112346-appb-000008
之和最小且大于等于λj(Pj-Pcr.j)，同时针对C中单一厂站类可控措施所接入的各个厂站，除F之外C中余下的所有单一厂站类可控措施的|PDN.L.i.j|之和分别大于等于设定的各个厂站需要保留有功容量PDN.r(通常设置为t0时刻厂站接入的发电机类可控措施总有功或负荷类可控措施总有功的10％)或者余下的单一厂站类可控措施数分别大于等于设定的各个厂站需要保留的单一厂站类可控措施数nDN.r(通常设置为1)的要求，则进入步骤9，否则，进入步骤7；
其中，λj为设定的设备k过载紧急控制程度系数，0＜λ0＜…＜λj≤1；
图1中步骤7：若按照L由高到低的顺序，能够从D中搜索到F，满足所选择的F中所有单一厂站类可控措施的|PDN.L.i.jSDN.k.j|与所有非单一厂站类可控措施的
Figure PCTCN2017112346-appb-000009
之和最小且大于等于λj(Pj-Pcr.j)，同时针对C中单一厂站类 可控措施所接入的各个厂站，除F之外C中余下的所有单一厂站类可控措施的|PDN.L.i.j|之和分别大于等于PDN.r或者余下的单一厂站类可控措施数分别大于等于nDN.r的要求，则进入步骤9，否则，进入步骤8；
图1中步骤8：若按L由低到高的顺序，能够从D中搜索到需要保留的可控措施集G，满足所选择的G中所有单一厂站类可控措施的|PDN.L.i.jSDN.k.j|与所有非单一厂站类可控措施的
Figure PCTCN2017112346-appb-000010
之和最小，同时针对G中单一厂站类可控措施所接入的各个厂站，G中的所有单一厂站类可控措施的|PDN.L.i.j|之和分别大于等于PDN.r或者单一厂站类可控措施数分别大于等于nDN.r的要求，则将D中除G之外的可控措施组成的集合作为F，并对电网实施F中所有可控措施，结束本方法，重新从步骤1开始设备过载的判断及紧急控制决策计算与实施，否则，直接结束本方法，重新从步骤1开始设备过载的判断及紧急控制决策计算与实施；
所述需要保留的可控措施集G是指根据厂站的可控措施保留容量或数目要求实时生成的不允许实施的可控措施集合；图1中步骤9：对电网实施F中所有可控措施，并令j等于(j+1)，返回步骤2。
简而言之，本实施例基于紧急控制实施效果进行措施灵敏度后评估，既克服了措施灵敏度离线设置适应性差的缺陷，又避免了基于电网状态在线计算灵敏度严重依赖电网在线模型和电网实时潮流的不足，通过“推算灵敏度-计算控制措施”的迭代，直至消除设备过载，可实现控制精度、实时性和可靠性综合保障。
虽然本发明已以较佳实施例公开如上，但实施例并不是用来限定本发明的。在不脱离本发明之精神和范围内，所做的任何等效变化或润饰，同样属于本发明之保护范围。因此本发明的保护范围应当以本申请的权利要求所界定的内容为标准。

Claims (7)

  1. 基于措施灵敏度自动辨识的设备过载自适应紧急控制方法，其特征在于，包括以下步骤：
    1)将待监测的设备记为k，将监测到设备k过载后用于实施的可控措施集记为F，将F的执行次数j置为0，进入步骤2)；
    2)若当前时刻tj设备k电流监测点的电流大于设定的设备过载紧急控制电流门槛值Icr且持续时间超过设定时限tcr，则将tj时刻流经设备k电流监测点的设备有功和无功分别记为Pj和Qj，设备k电流监测点所连接的母线电压记为Vj，采用公式(1)计算出tj时刻与Icr对应的设备k过载有功门槛值Pcr.j，并将tj时刻可用于设备k过载紧急控制的可控措施集合作为tj时刻设备k过载紧急控制的待选可控措施集C，进入步骤3)，否则，结束本方法；
    Figure PCTCN2017112346-appb-100001
    3)若j为0，针对C中可控措施接入的各个厂站，当设置的tj时刻C中可控措施接入厂站的有功注入变化对设备k有功的灵敏度取值方式为离线模式时，分别将其有功注入变化对设备k有功的灵敏度离线整定值作为tj时刻该厂站的有功注入变化对设备k有功的灵敏度；当设置的tj时刻C中可控措施接入厂站的有功注入变化对设备k有功的灵敏度取值方式为在线模式时，分别将根据t0时刻之前的电网运行状态最新计算出的C中可控措施接入厂站的有功注入变化对设备k有功的灵敏度在线值作为tj时刻该厂站的有功注入变化对设备k有功的灵敏度，进入步骤4)；
    若j不为0，将C中可控措施接入的所有厂站的集合记为SC，将F中可控措施接入的所有厂站的集合记为SF，针对SF中各个厂站，将F中所有可控措施实施后设备过载变化程度与F中可控措施总量的比值作为tj时刻这些厂站的有功注入变化对设备k有功的灵敏度；针对SC中除SF中厂站之外的各个厂站，分别将其tj-1时刻有功注入变化对设备k有功的灵敏度作为其tj时刻有功注入变 化对设备k有功的灵敏度，进入步骤4)；
    4)确定C中所有可控措施的有效性，将C中所有有效的可控措施组成的集合作为设备k过载紧急控制的有效可控措施集D，进入步骤5)；
    5)将D中大于设定的灵敏度门槛值Scr的可控措施组成的集合作为优选可控措施集E，进入步骤6)；
    6)若根据可控措施优先级按照由高到低的顺序，能够从E中搜索到F，则进入步骤9)，否则，进入步骤7)；
    7)若根据可控措施优先级按照由高到低的顺序，能够从D中搜索到F，则进入步骤9)，否则，进入步骤8)；
    8)若根据可控措施优先级按照由低到高的顺序，能够从D中搜索到需要保留的可控措施集G，则将D中除G之外的可控措施组成的集合作为F，并对电网实施F中所有可控措施，结束本方法，否则，直接结束本方法；
    所述需要保留的可控措施集G是指根据厂站的可控措施保留容量或数目要求实时生成的不允许实施的可控措施集合；
    9)对电网实施F中所有可控措施，并令j增1，返回步骤2)。
  2. 根据权利要求1所述的基于措施灵敏度自动辨识的设备过载自适应紧急控制方法，其特征在于：
    所述可控措施包括单一厂站类可控措施和非单一厂站类可控措施，其中单一厂站类可控措施又分为发电机类可控措施和负荷类可控措施两种；
    所述单一厂站类可控措施是指执行后只造成一个厂站有功注入变化的可控措施；所述发电机类可控措施是指执行后造成所接入厂站有功注入减少的可控措施；所述负荷类可控措施是指执行后造成所接入厂站有功注入增加的可控措施；
    针对单一厂站类可控措施，采用(TY,DN,L,PDN.L.i.j,SDN.k.j)序列加以标识，其中，TY为可控措施类型，包括发电机类可控措施和负荷类可控措施两种，DN 为可控措施接入的厂站名，L为可控措施的优先级，PDN.L.i.j为tj时刻接入DN、优先级为L的第i个可控措施的有功控制量，SDN.k.j为tj时刻接入DN的有功注入变化对设备k有功的灵敏度；
    所述可控措施的优先级是指在选择用于实施的可控措施时可控措施的优先次序，可控措施的L越高，越优先选择，相同L的可控措施之间没有选择次序约束；
    所述非单一厂站类可控措施是指执行后造成两个及以上厂站有功注入变化的可控措施；
    针对非单一厂站类可控措施，将其执行后造成有功注入变化的受端或送端各个厂站分别采用与单一厂站类可控措施相同的建模方式生成可控措施，并将相应的受端或送端各个厂站的可控措施进行组合，作为非单一厂站类可控措施的模型，采用[(TY,DN-1,L,PDN-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)]序列加以标识，其中，M为相应的受端或送端厂站数，DN-m为第m个厂站名，PDN-m.L.i.j为tj时刻接入DN-m、优先级为L的第i个可控措施的有功控制量，SDN-m.k.j为tj时刻接入DN-m的有功注入变化对设备k有功的灵敏度。
  3. 根据权利要求2所述的基于措施灵敏度自动辨识的设备过载自适应紧急控制方法，其特征在于，所述步骤3)中：
    若j为0，针对C中各个可控措施，当设置的tj时刻可控措施接入厂站的有功变化对设备k有功的灵敏度取值方式为离线模式时，则将相应可控措施的SDN.k.j、SDN-m.k.j分别取为相应的可控措施接入DN、DN-m的有功注入变化对设备k有功的灵敏度离线整定值，当设置的tj时刻可控措施接入厂站的有功注入变化对设备k有功的灵敏度取值方式为在线模式时，则将相应可控措施的SDN.k.j、SDN-m.k.j分别取为根据t0时刻之前的电网运行状态最新计算出的可控措施接入DN和DN-m的有功注入变化对设备k有功的灵敏度在线值，进入步骤4)；
    若j不为0，计算出(Pj-1-Pj)与F中所有单一厂站类可控措施tj-1时刻的|PDN.L.i.j-1|及所有非单一厂站类可控措施tj-1时刻的
    Figure PCTCN2017112346-appb-100002
    之和的比值Sa.k，针对F中可控措施接入的各个厂站，分别将Sgn(SDN.k.j-1)Sa.k作为tj时刻单一厂站类可控措施接入DN的有功注入变化对设备k有功的灵敏度SDN.k.j、Sgn(SDN-m.k.j-1)Sa.k作为tj时刻非单一厂站类可控措施对应的可控措施组合中各个可控措施接入DN-m的有功注入变化对设备k有功的灵敏度SDN-m.k.j，并将除F中可控措施接入的各个厂站之外的C中可控措施接入的其它厂站tj-1时刻有功注入变化对设备k有功的灵敏度，作为其tj时刻有功注入变化对设备k有功的灵敏度，进入步骤4)；
    其中，Pj-1为tj-1时刻流经设备k监测点的设备有功，PDN.L.i.j-1、PDN-m.L.i.j-1分别为tj-1时刻接入DN、优先级为L的第i个可控措施的有功控制量和接入DN-m、优先级为L的第i个可控措施的有功控制量，Sgn为符号函数，SDN.k.j-1、SDN-m.k.j分别为tj-1时刻可控措施接入DN的有功注入变化对设备k有功的灵敏度和可控措施接入DN-m的有功注入变化对设备k有功的灵敏度。
  4. 根据权利要求3所述的基于措施灵敏度自动辨识的设备过载自适应紧急控制方法，其特征在于，所述步骤4)中，确定C中可控措施有效性的方法为：
    通过以下方法针对C中单一厂站类可控措施进行降低设备k过载程度的有效性判断：
    对于发电机类可控措施，若其SDN.k.j大于0且PDN.L.i.j不等于0，则确定为有效可控措施，否则，确定为无效可控措施；
    对于负荷类可控措施，若其SDN.k.j小于0且PDN.L.i.j不等于0，则确定为有效可控措施，否则，确定为无效可控措施；
    通过以下方法针对C中非单一厂站类可控措施进行降低设备k过载程度的有效性判断：
    按单一厂站类可控措施的有效性判断方法分别对非单一厂站类可控措施对 应的可控措施组合中各个可控措施进行有效性判断，如对应的可控措施组合中所有可控措施都是有效可控措施，则确定相应非单一厂站类可控措施为有效可控措施，否则，确定相应非单一厂站类可控措施为无效可控措施；
  5. 根据权利要求4所述的基于措施灵敏度自动辨识的设备过载自适应紧急控制方法，其特征在于，所述步骤6)中从E中搜索到的F应满足以下条件：
    F中所有单一厂站类可控措施的|PDN.L.i.jSDN.k.j|与所有非单一厂站类可控措施的
    Figure PCTCN2017112346-appb-100003
    之和最小且大于等于λj(Pj-Pcr.j)，同时针对C中单一厂站类可控措施所接入的各个厂站，除F之外C中余下的所有单一厂站类可控措施的|PDN.L.i.j|之和分别大于等于设定的各个厂站需要保留有功容量PDN.r或者余下的单一厂站类可控措施数分别大于等于设定的各个厂站需要保留的单一厂站类可控措施数nDN.r的要求；其中，λj为设定的设备k过载紧急控制程度系数，0＜λ0＜…＜λj≤1。
  6. 根据权利要求4所述的基于措施灵敏度自动辨识的设备过载自适应紧急控制方法，其特征在于，所述步骤7)中从D中搜索到的F应满足以下条件：
    F中所有单一厂站类可控措施的|PDN.L.i.jSDN.k.j|与所有非单一厂站类可控措施的
    Figure PCTCN2017112346-appb-100004
    之和最小且大于等于λj(Pj-Pcr.j)，同时针对C中单一厂站类可控措施所接入的各个厂站，除F之外C中余下的所有单一厂站类可控措施的|PDN.L.i.j|之和分别大于等于设定的各个厂站需要保留有功容量PDN.r或者余下的单一厂站类可控措施数分别大于等于设定的各个厂站需要保留的单一厂站类可控措施数nDN.r的要求；其中，λj为设定的设备k过载紧急控制程度系数，0＜λ0＜…＜λj≤1。
  7. 根据权利要求4所述的基于措施灵敏度自动辨识的设备过载自适应紧急控制方法，其特征在于，所述步骤8)中从D中搜索到的G应满足以下条件：
    G中所有单一厂站类可控措施的|PDN.L.i.jSDN.k.j|与所有非单一厂站类可控措施的
    Figure PCTCN2017112346-appb-100005
    之和最小，同时针对G中单一厂站类可控措施所接入的各个厂站，G中的所有单一厂站类可控措施的|PDN.L.i.j|之和分别大于等于设定的各个厂站需要保留有功容量PDN.r或者单一厂站类可控措施数分别大于等于设定的各个厂站需要保留的单一厂站类可控措施数nDN.r的要求。
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