WO2014173131A1 - Méthode d'évaluation quantitative intégrée en ligne de situation générale de grand réseau électrique en fonction de la réponse - Google Patents

Méthode d'évaluation quantitative intégrée en ligne de situation générale de grand réseau électrique en fonction de la réponse Download PDF

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WO2014173131A1
WO2014173131A1 PCT/CN2013/088404 CN2013088404W WO2014173131A1 WO 2014173131 A1 WO2014173131 A1 WO 2014173131A1 CN 2013088404 W CN2013088404 W CN 2013088404W WO 2014173131 A1 WO2014173131 A1 WO 2014173131A1
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power
grid
stability
transient
node
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PCT/CN2013/088404
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English (en)
Chinese (zh)
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刘道伟
李柏青
马世英
侯俊贤
孙华东
王虹富
董毅峰
王毅
张志强
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国家电网公司
中国电力科学研究院
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Publication of WO2014173131A1 publication Critical patent/WO2014173131A1/fr

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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—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
    • H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
    • H02J3/242—Arrangements for preventing or reducing oscillations of power in networks using phasor measuring units [PMU]
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • 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
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
    • 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
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • 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
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • 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
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/22—Flexible AC transmission systems [FACTS] or power factor or reactive power compensating or correcting units
    • 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
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/30—State monitoring, e.g. fault, temperature monitoring, insulator monitoring, corona discharge
    • 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
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/40—Display of information, e.g. of data or controls
    • 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
    • Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
    • Y04S40/20—Information technology specific aspects, e.g. CAD, simulation, modelling, system security

Definitions

  • the invention relates to the field of online safety monitoring and early warning of large power grids, and particularly relates to a method for quantitatively evaluating and integrating the full-scale integrated line of large power grids based on response.
  • the grid online safety assessment mainly adopts the traditional network modeling and simulation form, although the grid safety assessment based on modeling and simulation is the grid planning and operation. Indispensable important tools, but this method is restricted by factors such as grid model, parameters and numerical calculations. It is difficult to adapt to the real-time monitoring requirements of the grid in terms of application scale, speed and matching with real grid conditions. New ideas and faster solutions; 2 blackouts are often caused by unforeseen cascading failures or random disturbances.
  • WAMS Wide Area Measurement System
  • Smart Grid which combines advanced measurement sensing technology, control technology, communication technology, computer technology and other cutting-edge technologies, has become the only way for the development of the modern power industry.
  • One of the important functions of the smart grid is to improve the visualization and early warning capabilities of the grid, and ultimately achieve intelligent closed-loop control to make the grid operation safer, more reliable and more economical.
  • Intelligent scheduling is the core content of smart grid construction. Intelligent dispatching technology support system should have the function of “distributing the thinking mode of the dispatcher, using the visual interface as the functional module and interactive computing as the core of the system”.
  • Smart grid is a grand system engineering to realize online security assessment and early warning of large power grid. It combines the current mature WAMS system and SCADA (Supervisory Control And Data Acquisition) ⁇ EMS
  • the data fusion processing mechanism establishes an online security assessment system based on the combination of the current state and the expected state of the large grid based on the multi-response information source.
  • the invention relates to an online integrated quantitative evaluation method for a full-scale potential of a large power grid based on response, comprising:
  • Step S1 obtaining grid topology information from the SCADA system and the EMS system, and establishing a power with the WAMS system Correspondence of network elements;
  • Step S2 Obtain current power flow data of the power system from the SCADA system, the EMS system, or the WAMS system, or obtain various expected power flow or transient fault time domain data from the DSA system;
  • Step S3 Perform static static situation assessment on the grid in an online node-oriented manner, and perform transient stability situation assessment on the grid in a line-oriented pairwise manner;
  • the static stability situation assessment of the power grid includes: generator stability margin index, line stability margin index, node stability margin index, generator thermal stability pass rate, line thermal stability pass rate, node voltage pass rate, Load node power factor pass rate, static steady state comprehensive index and node reactive power compensation level indicator;
  • transient stability situation assessment of the power grid includes: transient stability margin index, transient stability prediction index, node voltage retention rate, node stability margin index, line thermal stability pass rate and transient stability situation comprehensive index .
  • various grid static response data include predicted state offline power flow, N-l, N-2 power flow convergence calculation result, SCADA ⁇ EMS system state estimation result, and PMU measurement information;
  • the response data of various grid transient transition processes include various expected transient fault set time domain simulation results, and WAMS real-time measured grid disturbance process information;
  • the rationality prediction or filtering process is performed according to the change of the PMU measurement data at the previous moment or the surrounding PMU;
  • N-l and N-2 expected faults are allocated according to the number of parallel machines.
  • step S3 when the static stable situation assessment and the transient stability situation assessment are performed on the power grid in step S3, all nodes of the power grid are allocated according to the number of parallel machines;
  • the equivalent transmission power of each node is obtained according to the active flow direction.
  • the tracking parameter identification method based on local measurement is used to identify the equivalent transmission model parameters of the current state of each node of the power grid.
  • the equivalent transmission model parameters include the equivalent power supply potential, the equivalent branch impedance mode, and the impedance angle.
  • the node-equivalent transmission model inverse mapping based on the current operating state of the grid is realized.
  • the method for obtaining the generator stability margin index, the line stability margin indicator, and the node stability margin indicator of the power grid in the step S3 is:
  • the method for obtaining the thermal stability rate of the generator and the thermal stability rate of the connection line of the power grid in the step S3 includes:
  • G N respectively the total number of generators of the grid
  • G QN respectively are the number of generators and tie lines that meet the thermal stability constraints of their respective operations
  • the method for obtaining the node voltage pass rate and the load node power factor pass rate of the power grid in the step S3 includes: the node voltage and the load node power factor qualified range upper and lower limits given according to the normal operation mode of the power grid, and the statistical power grid node voltage is qualified. Rate, load node power factor pass rate ⁇ ⁇
  • the method for obtaining the static stability rate of the power grid includes:
  • L N and N N are respectively the total number of contact lines and the number of nodes in the system, and L CN and N CN are respectively the number of contact lines and the number of nodes greater than &c.
  • the method for obtaining the overall static stability situation comprehensive index of the power grid in the step S3 includes:
  • ⁇ is the weight coefficient of the grid according to thermal stability constraints, operating electrical quantity constraints and static stability constraints, and flexible configuration according to experience or analysis, A, meets:
  • ⁇ is the overall thermal stability rate of the grid
  • ⁇ calculation formula is: R QR —
  • ⁇ is the overall static stability rate of the grid, ⁇ calculation formula is: S s.
  • the method of virtual reactive power change is used in the step S3 to determine the reactive power required to minimize the active loss of the equivalent power transmission model, and the current operating mode of each node is obtained.
  • the method of compensation level indicator is:
  • the corresponding reactive power value of A corresponding to A is the minimum value, and then the equivalent power transmission reactive power of the node and the obtained node is compared, and the current running party compensation deficiency indicator a of the respective nodes is obtained as:
  • a>o indicates that the reactive power is not compensated
  • a ⁇ o indicates that the reactive power is over-compensated.
  • the time domain data of the grid transient process trajectory is obtained from the WAMS system or various expected transient fault sets, and the method envelope of the severely disturbed crew pair is directly used.
  • the transient behavior of the power grid is obtained, and the transient stability margin indicator of the power grid is obtained, which includes steps S101 to S103:
  • Step S101 according to the inertia time constant M of each generator and its angular velocity ", power angle, machine side bus voltage phase angle
  • the number X can be artificially set according to needs, and the range of X is 5 ⁇ x ⁇ 10;
  • Step S102 calculating a generator set and a generator for any one of the lead and lag unit pairs in the set ⁇ -
  • the difference between the power angles between the genset and the genset ' represents the mechanical power function between the genset i and the genset j and the intersection of the electromagnetic active power ⁇ ⁇ is virtual stable Flat Balance operating point;
  • the method for calculating includes the step S1021 - step S1023: Step S1021, the equivalent single-machine rotor inertia time constant between the genset and the genset ' is MM.
  • step S1022 calculating electromagnetic active power between the genset and the genset '
  • the present invention provides a ninth preferred embodiment ⁇ M: For any leading and lagging of the unit within the set ⁇ , the unit according to the calculated power P Meq equivalent mechanical and electromagnetic active power P Eeq change trajectory by curve fitting
  • the technology constructs the transient stability prediction index from the energy point of view, and specifically includes step S201 - step S203:
  • x. , Xl is the fitting sine function coefficient to be obtained, indicating the equivalent ⁇ ⁇ of the generator set ;
  • Step S202 calculating a transient stability prediction index T SEIy between the generator set i and the generator set j;
  • the calculating the transient stability estimation index between the genset and the generator set ' in the step S202 includes the step S2021 - the step S2023:
  • Step S2022 the transient kinetic energy of the pair of units at the time of the fault removal is:
  • V TB ⁇ [ ⁇ ⁇ P Meq ⁇ ]i ⁇ ..
  • the unit power angle difference between the fault occurrence time and the fault removal time is indicated respectively.
  • the method for obtaining the grid node voltage retention rate in the step S3 includes:
  • the method for obtaining the thermal stability rate of the line in the power grid in the step S3 includes: determining the static stability margin index and the line thermal stability of the node during the transient process: the node static stability margin limit & c , the line heat The stability limit ⁇ « and the duration r c , the number of nodes that the statistical grid meets the static and sustainable range ⁇ , the number of lines satisfying the thermal stability and sustainable range 1 ⁇ 2w, calculate the static stability of the node and the thermal stability of the line during the transient process
  • the invention provides a response-based large-scale grid full-scale integrated online quantitative evaluation method, and the beneficial effects include:
  • the invention provides a method for online quantitative integration assessment of the full-state potential of a large power grid based on the response, which can realize the static and transient states of the large power grid for real-time measurement of the current state of the power grid or various simulation data under the expected state.
  • the overall situation of typical operational scenarios is online and quantitatively evaluated. That is to say, the situation assessment under the current state of the power grid is realized, and the existing DSA expected simulation advantage is fully realized to realize the situation assessment of the predicted state, which is beneficial to the dispatching operation personnel to timely understand the current operating situation of the power grid and the potential system risk of the power grid.
  • the method can be indirectly applied to various offline prediction methods or post-stage intelligent evaluation of fault set time domain simulation data, which greatly reduces the workload of planners or mode developers.
  • the core methods used in the present invention are based on grid response data, and have strong independence, and the full situation assessment method and algorithm are direct and simple, and can quickly identify weak nodes or weak areas in any operation mode of the power grid for operation or planning personnel reference. , prevent problems before they occur, reduce or avoid voltage stability accidents, suitable for online engineering applications.
  • the invention can gradually transform the previous "modeling simulation” prevention and control mode into the "track mining" response control mode, which is an extension of the traditional power grid prevention and control ideas and methods, and can effectively improve the online intelligent assessment and early warning level of the large power grid.
  • the impedance model is used to evaluate the static steady state potential, and the impedance mode method is applied to the generator branch, transmission line and node equivalent transmission model.
  • the impedance mode method is suitable for fast online calculation and can effectively identify weak units, critical lines and weak nodes in the current operating mode.
  • the thermal stability rate under the current operation mode of the power grid can be counted, and the overload components can be screened quickly and effectively, which is also in line with the habit of visual evaluation of conventional power flow mode.
  • the electrical quantity qualification rate under the current operation mode of the power grid can be statistically evaluated, and the current operating mode voltage and power factor qualification level can be quickly and effectively evaluated, which is also in line with the conventional power flow mode power quality assessment requirements.
  • the impedance model is used to achieve static stability rate statistics.
  • the virtual reactive power required to minimize the active loss when the node is currently active can be obtained, and then the reactive power compensation level evaluation of all nodes in the grid under the current operating mode can be realized.
  • the unit's transient stability margin index is obtained through simple algebraic calculation, and the minimum unit pair in the set ⁇ is taken as this time.
  • the transient stability margin indicator STM of the time domain data is used to quantitatively evaluate the transient stability margin of the current transient trajectory.
  • the voltage drop tolerance and duration are used to measure the node voltage holding capacity and the pass rate in a given transient process.
  • the comprehensive transient stability situation assessment indicators from the energy system energy conservation, transient voltage retention capability, node static stability and line thermal stability are realized, and the weights are flexibly selected according to the actual dynamic trajectory and the evaluation focus. Calculate the corresponding faults and achieve their severity ranking, improve the on-line analysis efficiency of the expected fault set, effectively quantify the stable situation of multiple transient faults and facilitate the screening of severe transient faults.
  • FIG. 1 is a flow chart of an online integrated quantitative evaluation of a full-scale potential based on a response according to the present invention
  • FIG. 2 is a diagram showing the elements of the comprehensive indicator system provided by the present invention.
  • FIG. 3 is a schematic diagram of a local node of a power grid provided by the present invention.
  • FIG. 4 is a schematic diagram of a node equivalent power transmission model provided by the present invention.
  • FIG. 5 is a schematic diagram of a maximum transmission power boundary impedance mode provided by the present invention.
  • FIG. 6 is a schematic diagram of a node reactive power compensation level evaluation provided by the present invention.
  • FIG. 7 is a schematic diagram of a pair of power grid units provided by the present invention.
  • FIG. 8 is a schematic diagram showing the fitting of the equivalent power angle curve of the unit provided by the present invention.
  • FIG. 9 is a schematic diagram of an energy type transient stability prediction index provided by the present invention.
  • FIG. 10 is a flow chart of the online integrated quantitative evaluation of the full-state potential of the large-scale power grid based on the response provided by the present invention. detailed description
  • the invention provides an online integrated quantitative evaluation method for a full-scale potential of a large power grid based on a response.
  • the present invention provides a global flow-based quantitative evaluation data flow diagram of a full-state potential based on a response.
  • the evaluation method includes:
  • Step Sl Obtain the topology information of the power grid from the SCADA system and the EMS system, and establish a correspondence relationship with the components of the WAMS system.
  • Step S2 Obtain current power flow data of the power system from the SCADA system, the EMS system, or the WAMS system, or obtain various expected power flow or transient fault time domain data from the DSA system.
  • Step S3 Perform static static situation assessment on the grid in an online node-oriented manner, and perform transient stability posture assessment on the grid in a line-oriented pairwise manner.
  • Figure 2 shows the element of the comprehensive index system provided by the present invention.
  • the static stability situation assessment of the power grid includes: generator stability margin index, line stability margin index, node stability margin index, generator thermal stability pass rate, line thermal stability pass rate, node voltage pass rate, Load node power factor pass rate, static steady state comprehensive index and node reactive power compensation level indicator.
  • transient stability situation assessment of the power grid includes: transient stability margin index, transient stability prediction index, node voltage retention rate, node stability margin index, line thermal stability pass rate and transient stability situation comprehensive index .
  • the static response data of various power grids include predictive state offline power flow, Nl, N-2 power flow convergence calculation result, SCADA ⁇ EMS system state estimation result, PMU measurement information; various power grid transient transition process response data including various expected temporary State-of-the-art fault set time domain simulation results, WAMS real-time measurement of grid disturbance process information; PMU measurement information based on its previous time or surrounding PMU measurement data changes for rationality prediction or filtering; For Nl, N-2 anticipation Fault, assigned according to the number of parallel machines.
  • step S3 when the static stability situation assessment and the transient stability situation assessment are performed on the power grid, all the nodes of the power grid are allocated according to the number of parallel machines, as shown in FIG. 3 is a schematic diagram of the local node of the power grid provided by the present invention, and the node may be coupled with the generator. , load, capacitor, circuit and other components are connected.
  • the equivalent power transmission power of each node is obtained according to the active flow direction.
  • P E + jQ E is a schematic diagram of the node equivalent transmission model.
  • the tracking parameter identification method based on local measurement is used to identify the equivalent transmission model parameters of the current state of each node of the grid, including the equivalent power supply potential E £ , the equivalent branch impedance mode, and the impedance angle.
  • the node of the operational state is inversely mapped by the equivalent transmission model.
  • the impedance mode index of the maximum power transmission idea as shown in FIG. 5 is used as the static stability margin index.
  • the static stability margin index corresponding to the current running mode of the generator branch, the tie line branch or the node is calculated as:
  • ZL can represent the equivalent load impedance of the generator branch, contact line or node, respectively, and can be obtained according to the terminal voltage and power.
  • i Measure the size of each generator branch, transmission line load and node static stability margin, and can be used to locate weak units, critical lines and weak nodes.
  • the static stability margin index of all nodes is averaged, and the average static stability margin index of the current operating mode can be obtained.
  • the calculation formula is:
  • the method for obtaining the thermal stability rate of the generator of the power grid and the thermal stability rate of the tie line in step S3 includes:
  • the thermal stability rate of the generator is calculated ⁇ and the line heat
  • the stable pass rate of £ PR is:
  • G N respectively the total number of generators of the grid
  • G QN respectively, the number of generators and tie lines that meet the respective thermal stability constraints.
  • the method for obtaining the node voltage pass rate and the load node power factor pass rate of the power grid in step S3 includes: determining the node voltage and the load node power factor qualified range upper and lower limits according to the normal operation mode of the power grid, and calculating the grid node voltage pass rate, load Node power factor pass rate ⁇
  • the total number of nodes and the number of load nodes are respectively V QN and P e are the number of nodes satisfying the voltage range and the number of load nodes satisfying the power factor range.
  • the method for obtaining the static stability rate of the power grid includes:
  • L N and N N are the total number of contact lines and the number of nodes, respectively, and L CN and N CN are respectively the number of tie lines and the number of nodes greater than c.
  • ⁇ ⁇ is the weight coefficient of the grid according to thermal stability constraints, operating electrical quantity constraints and static stability constraints, which can be flexibly configured according to experience or analysis needs.
  • ⁇ is the overall thermal stability rate of the grid, ⁇ calculation formula is: H QR
  • ⁇ is the electrical capacity pass rate of the overall operation of the grid
  • ⁇ the formula is: Q R ⁇ N + P ⁇ is the overall static stability rate of the grid
  • step S3 the virtual reactive power change method is used to obtain the reactive power required to minimize the active power loss of the equivalent power transmission model.
  • the schematic diagram of the node reactive power compensation level evaluation is shown in Figure 6, and the current operating mode of each node is obtained.
  • the methods of compensation level indicators include:
  • the reactive power value required for the minimum active loss corresponding to the flow A under the node equivalent model can be obtained. Then the equivalent transmission and reactive power are compared with the obtained node.
  • step S3 the time domain data of the grid transient process trajectory is obtained from the WAMS system or various expected transient fault sets, and the transient behavior analysis of the envelope network is directly adopted by the method of the severely disturbed crew pair, as shown in FIG.
  • the schematic diagram obtains a transient stability margin indicator of the power grid, including steps S101-S103:
  • Step S101 according to the inertia time constant M of each generator and its angular velocity, the power angle, the phase voltage S of the bus voltage of the machine end, and the change of the electromagnetic power of the machine end 3 ⁇ 4 E , quickly identify the most advanced X station. And the most delayed X-stage generator, which constitutes the most severely affected unit set.
  • the number X can be artificially set according to needs, and the range of X is 5 ⁇ x ⁇ 10.
  • S seq is the virtual stable equilibrium operating point of the intersection between the mechanical power function ⁇ and the electromagnetic active power P Eeq between the genset i and the genset j.
  • the method of calculating 5 seq includes steps S1021 - S1023:
  • Step S1022 calculating electromagnetic active power between the genset and the generator set j
  • phase voltage of the terminal bus voltage f,. Uj . ⁇ Xi respectively represents the amplitude, phase angle and equivalent internal reactance of the generator bus voltage of the generator set and generator set _/.
  • Step S103 sequentially calculating the transient stability margin index between any lead and lag generator sets and the generator set ' in the set ⁇ with the minimum unit pair? ⁇ as the transient stability margin index of the current time domain data.
  • ie STsi min ⁇ r s/ , , 0
  • the positioning of the weak unit can be achieved by the S TSI of the smallest unit pair.
  • the method for obtaining the transient stability prediction index of the power grid in step S3 includes: using any calculated lead and lag unit pairs in the set ⁇ , according to the calculated genset pair equivalent mechanical power ⁇ and electromagnetic active power change trajectory, utilizing The curve fitting technique constructs the transient stability prediction index from the energy point of view. As shown in Fig. 8, the unit fits the equivalent power angle curve.
  • the method for obtaining the transient stability estimation index of the power grid specifically includes the steps S201 to S203:
  • x. , Xl is the fitted sine function coefficient to be determined, which represents the equivalent of the generator set ⁇ .
  • Step S202 calculating a transient stability estimation index between the generator set and the generator set 3 ⁇ 4 ⁇ , including step S2021 - step S2023:
  • Step S2021 according to the ⁇ variation trajectory fitting function ⁇ , obtain the unstable equilibrium point a after the fault removal, ⁇ is calculated as: ⁇ -arctan ⁇ - transient kinetic energy (acceleration area) ⁇ is:
  • the unit power angle difference between the fault occurrence time and the fault removal time is indicated respectively.
  • the method for obtaining the grid node voltage holding rate in step S3 includes:
  • the number of nodes in the statistical system that meets the acceptable range of voltage levels in the transient process is calculated, and the node voltage is calculated in the transient process.
  • the method for obtaining the thermal stability rate of the line in the power grid in step S3 includes: the static stability margin index and the line thermal stability of the given transient process: the node static stability margin c , the line thermal stability limit ⁇ ⁇ ⁇ and duration, the number of nodes sustainable statistical power grid to meet the static stability range of ⁇ meet sustainable stability range of the number of hot line 1 ⁇ 2w, compute nodes static stability and thermal stability of the line S ra passing rate of the transient process,
  • the formula for Ra is: S "" +L
  • S TI can comprehensively measure the transient transient situation level of the current transient process information, and effectively quantify the stable situation of multiple transient faults.

Abstract

L'invention concerne une méthode d'évaluation quantitative intégrée en ligne de situation générale de grand réseau électrique en fonction d'une réponse. La méthode comprend les étapes suivantes : étape S1, acquérir des informations structurelles de topologie de réseau électrique d'un système SCADA et d'un système EMS et établir une correspondance entre les informations structurelles de topologie de réseau électrique et un composant de réseau électrique de système WAMS ; étape S2, acquérir des données de tendance d'une méthode d'exploitation actuelle du réseau électrique à partir du système SCADA ou du système EMS ou d'un système WAMS ou acquérir différentes tendances préconçues ou données de domaine temporel d'un défaut transitoire à partir d'un système DSA ; et étape S3, grouper, à partir de l'aspect de traces, des données de réponse en un scénario d'exploitation stable (ou quasi-stable) et un scénario d'exploitation transitoire (ou dynamique), l'évaluation de situation de stabilisation statique étant effectuée sur un réseau électrique selon une méthode en ligne orientée sur les nœuds, et une évaluation de situation de stabilisation transitoire étant effectuée sur le réseau électrique selon une méthode en ligne orientée sur les unités. Des indicateurs d'évaluation complète statique et transitoire sont construits en fonction de la thermostabilisation au niveau des composants, d'une plage acceptable de paramètres électriques, et d'une stabilisation au niveau du système, la complétude et la vraisemblance des indicateurs d'évaluation de la situation générale sont améliorées, et l'efficacité de l'évaluation intégrée de la situation générale est améliorée en utilisant la méthode au lieu d'effectuer des tâches simultanément.
PCT/CN2013/088404 2013-04-23 2013-12-03 Méthode d'évaluation quantitative intégrée en ligne de situation générale de grand réseau électrique en fonction de la réponse WO2014173131A1 (fr)

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