WO2012155494A1 - Procédé de vérification de paramètre de commande optimale dans l'ensemble du réseau pour un système de régulation de tension automatique - Google Patents

Procédé de vérification de paramètre de commande optimale dans l'ensemble du réseau pour un système de régulation de tension automatique Download PDF

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Publication number
WO2012155494A1
WO2012155494A1 PCT/CN2011/083161 CN2011083161W WO2012155494A1 WO 2012155494 A1 WO2012155494 A1 WO 2012155494A1 CN 2011083161 W CN2011083161 W CN 2011083161W WO 2012155494 A1 WO2012155494 A1 WO 2012155494A1
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network
avc
substation
power
model
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PCT/CN2011/083161
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English (en)
Chinese (zh)
Inventor
杨潇
侯双林
王芷路
王晓蔚
唐宝锋
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河北省电力研究院
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Publication of WO2012155494A1 publication Critical patent/WO2012155494A1/fr

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Classifications

    • 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
    • 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
    • H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
    • H02J13/00034—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for the elements or equipment being or involving an electric power substation
    • 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
    • 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
    • Y04S10/16—Electric power substations
    • 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
    • Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
    • 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 method belongs to the technical field of voltage control of power systems, in particular, the optimal control parameter verification method for the entire network of automatic voltage control systems.
  • AVC is automatic voltage control, which is a system that optimizes and coordinates the voltage and reactive power of the grid. According to the operation data of the whole power grid, the AVC main station takes the central point bus voltage as the constraint condition, takes the minimum network loss as the control target, optimizes the calculation for the power grid model, and delivers the result to each AVC sub-station, and each AVC sub-station Controlled equipment according to
  • the AVC master station requires adjustment of reactive power and voltage to achieve optimized closed-loop control of the entire network voltage and reactive power.
  • the current AVC system optimal parameter verification can only verify that the AVC substation setting parameter is the optimal parameter of the substation or power plant, and it is impossible to verify whether the whole network is optimal.
  • the power grid structure is constantly changing due to the change of load at all times.
  • the manufacturers and models of AVC substations used in different power plants are different, resulting in the inability to use a unified power grid structure, uniform load parameters and uniformity in the actual power grid.
  • the AVC model is used to verify the optimal control parameters. Summary of the invention
  • the technical problem to be solved by the present invention is to provide an automatic voltage control system full network optimal control parameter verification method, and comprehensive comparison analysis of voltage control rate, voltage control qualification rate and total network loss for different control parameter groups .
  • the technical solution adopted by the present invention is: An automatic voltage control system network-wide optimal control parameter verification method, which is based on EMS system real-time information and network-wide state estimation. Based on a unified AVC model and a unified grid model, it is substituted into a unified typical load day history. Data, by comparing the voltage regulation rate of the central point bus, the control pass rate and the total network loss, to verify the optimal control parameters and the optimal reactive power layout optimization scheme;
  • step (2.1) determines whether it is necessary to enter the reactive power optimization subsystem: when there is no need to add a virtual power plant or substation, enter step (2.1); when it is necessary to add a virtual power plant or / and substation, enter the reactive power optimization subsystem, That is, the virtual plant model is established, and then proceeds to step (2.2);
  • step (2) reading the actual grid model parameters and the virtual plant model parameters in step (1), and then periodically mapping the actual grid model to the total load days of the EMS real-time database.
  • the model performs initial measurement mapping, that is, splicing with the actual power grid model, generating a virtual power grid model, performing periodic state estimation on the virtual power grid model, and storing the result in the virtual database;
  • the relevant AVC sub-station of the plant accepts and executes the control instructions; calculates the change of the central point bus voltage regulation rate and the central point bus voltage, and judges whether the regulation is qualified. When it is qualified, it enters step (5); when it fails, it enters the step ( 6);
  • the user defines the range of the network loss statistical area by using the human-machine interface, and enables the automatic modeling mode to establish the network loss calculation model.
  • the automatic modeling mode refers to: when the virtual power grid model changes, Perform automatic topology search, update the electrical equipment in the network loss statistical area, and automatically adapt to the change of the power grid;
  • a control parameter group to be verified sets the corresponding time period of operation in step 4;
  • c reads a operation in a, and then performs power flow calculation, and statistics the network loss result of the group parameter, and saves it to the database;
  • the effect of different parameters on the network loss is displayed in the form of a three-dimensional geographic wiring diagram or a comparison report of the entire network.
  • step (4) The method for judging whether the regulation is qualified in step (4) is as follows:
  • Substation side Under typical load daily section data, the analog master station issues control commands that require the central point bus voltage to decrease or increase IkV.
  • the relevant AVC substation requires the cutting or input capacitor after receiving the command, and the power is injected along the capacitor node. Change direction to calculate the trend of the whole network and the voltage of the central point Situation
  • the analog AVC main station issues the control command that requires the central point bus voltage to decrease or increase the IkV. After the relevant AVC substation accepts the command, the unit is required to increase the absorption or increase the reactive power. Calculating the change of the power flow and the central point voltage of the whole network along the direction of the change of the injected power of the generator node;
  • the invention verifies the AVC sub-station optimal control parameters by using a unified grid structure, unified load parameters and a unified AVC model, and solves the problem that the AVC sub-station parameters cannot be verified to be optimal for the entire network, in order to realize the grid node.
  • the criteria for voltage qualification and minimum network loss are provided.
  • the invention verifies the optimal control parameter scheme and the optimality by comparing the central point voltage regulation rate, the control qualification rate and the whole network loss on the basis that the AVC substation parameters satisfy the basic control requirements. Work layout plan.
  • FIG. 1 is a flow chart of a method for verifying optimal control parameters of an entire network of an automatic voltage control system;
  • FIG. 2 is a logic diagram of voltage regulation calculation;
  • Figure 3 is a data flow diagram of the optimal control parameter verification method for the entire network of the automatic voltage control system.
  • the AVC automatic voltage control system of the present invention has an overall network optimal control parameter verification method including five subsystems: AVC substation model parameter subsystem, reactive power layout optimization subsystem, voltage regulation calculation subsystem, network loss analysis Computation subsystem and display verification result subsystem; wherein AVC sub-station model parameter subsystem is used for parameter setting and modification; reactive power layout optimization subsystem is used to provide virtual substation capacitor capacity setting, virtual power plant equipment related parameters and The modeling of the grid access point layout; the voltage regulation calculation subsystem is used to calculate the influence of different AVC substation parameters or different reactive power compensation equipment layouts on the target of voltage regulation rate and control pass rate; network loss analysis and calculation The system is used to define the range of the network loss statistical area, define the network loss calculation model, and automatically initialize the network loss real-time database after the model is updated, and finally realize the network loss calculation function; display the verification result subsystem to the whole network three-dimensional geographic connection diagram Or report form to display information such as network voltage, reactive power layout
  • step (2.1) when no new virtual power is needed When the plant or substation, enter step (2.1); when it is necessary to add a virtual power plant or / and substation, enter the reactive layout optimization subsystem, that is, establish a virtual plant model, and then enter step (2.2);
  • the virtual substation Select the desired virtual substation, set the outlet line model, length, thermal stability parameters, set the capacitor parameters such as single group capacity, group number, switching time.
  • the virtual power plant selecting the access substation of the required virtual power plant, setting the outlet line model, length, thermal stability parameter, number of power plant units, single unit capacity, unit rated reactive output, rated power factor and other unit related parameters .
  • the program After loading the actual grid model or virtual grid model parameters, the program reads the typical load daily measurement data in the EMS real-time database and periodically performs state estimation.
  • the virtual grid model refers to the model formed by the actual grid model and the virtual plant model.
  • step (2) reading the actual grid model parameters and the virtual plant model parameters in step (1), and then periodically mapping the actual grid model to the total load days of the EMS real-time database.
  • the model performs initial measurement mapping, that is, splicing with the actual power grid model, generating a virtual power grid model, performing periodic state estimation on the virtual power grid model, and storing the result in the virtual database;
  • the measurement data of the typical load day includes the target bus voltage measurement data, the tidal current measurement data with the surrounding power grid, the unit active output measurement data, the unit reactive output measurement data, and the substation capacitor switching measurement data.
  • the state estimation refers to identifying and rejecting bad data in the measurement.
  • the virtual plant model is spliced with the actual grid model, and the virtual grid model is generated by the virtual grid. The main function of the model splicing program.
  • control parameter group In the actual substation or power plant model, input the control parameter group to be verified by the AVC substation and store it, and establish the AVC substation model parameters.
  • AVC substation control of the virtual substation or power plant can also be added and set. Model parameters.
  • Each substation can have multiple control parameter sets.
  • the substation AVC substation model contains the following parameters: regulation command delay time, bus voltage fluctuation limit, bus voltage effective range - high, bus voltage effective range - low, bus voltage high blocking value, bus voltage low blocking value, capacitor capacity input high blocking Value, capacitor capacity input low blocking value, single adjustment maximum input / number of cut capacitor banks.
  • the AVC substation model of the power plant contains the following parameters: regulation command delay time, bus voltage fluctuation limit, bus voltage effective range - high, bus voltage effective range - low, bus voltage high blocking value, bus voltage low blocking value, stator voltage fluctuation limit , stator voltage effective range - high, stator voltage effective range - low, stator voltage high blocking value, stator voltage low blocking value, stator current fluctuation limit, stator current high blocking value, stator current low blocking value, active power fluctuation limit, active power Power effective range - high, active power effective range - low, reactive power fluctuation limit, reactive power effective range - high, reactive power effective range - low, reactive power high blocking value, reactive power low blocking value, factory The operating voltage fluctuation range, the factory power voltage high blocking value, the factory power voltage low blocking value, the tracking (adjustment) accuracy, the maximum pulse width, the minimum pulse width, and the pulse calculation slope.
  • This step is mainly to determine whether the parameters of the AVC substation of the substation or power plant meet the basic control requirements, namely the voltage regulation calculation subsystem.
  • the relevant AVC sub-station of the plant accepts and executes the control instructions; calculates the change of the central point bus voltage regulation rate and the central point bus voltage, and judges whether the regulation is qualified. When it is qualified, it enters step (5); when it fails, it enters the step ( 6);
  • Substation side Under typical load daily section data (5min), the analog master station issues control commands that require the central point bus voltage to decrease or increase lkV.
  • the relevant AVC substation requires the cutting or input capacitor after receiving the command, along the capacitor. The direction of the node injection power changes to calculate the trend of the whole network power flow and the central point voltage;
  • the analog AVC main station Under typical load daily section data (5min), the analog AVC main station issues a control command that requires the central point bus voltage to decrease or increase lkV.
  • the relevant AVC substation requires the unit to increase absorption or increase after receiving the command.
  • the power of the power, the change of the power flow and the central point voltage of the whole network is calculated along the direction of the power change of the generator node;
  • step (6) When the reactive power of the generator has reached the reactive power high blocking value or the reactive power low blocking value, and the central point bus voltage has not reached the target value, the adjustment is stopped, and the prompt "AVC substation parameters do not meet the regulation requirements" pops up. Go to step (6); When the regulation time is less than lmin and the central point bus voltage is qualified, proceed to step (5).
  • the main function of this step is to use the network loss calculation to compare the advantages and disadvantages of different control parameter sets, namely the network loss analysis and calculation subsystem.
  • the user uses the human-machine interface to define the range of the network loss statistical area, and enables the automatic modeling method to establish the network loss calculation model.
  • the automatic modeling method refers to: After the virtual grid model changes, re-perform Automatic topology search, update the electrical equipment in the network loss statistical area, automatically adapt to the change of the grid; When the initialization is unsuccessful, output the alarm message: "The grid model is updated incorrectly", proceed to step 6;
  • the subsystem provides grid loss calculation and analysis based on grid power. During the typical load day (take all the data for one day), perform network loss analysis and calculation on the grid.
  • the specific calculation method when verifying multiple sets of parameter schemes is as follows:
  • c reads a operation in a, and then performs power flow calculation, and statistics the network loss result of the group parameter, and saves it to the database;
  • the network loss value of each AVC system parameter control scheme can be listed based on the basic network loss; or the network loss of each AVC system parameter control scheme can be listed based on the optimal control parameters that need to be verified.
  • the battery comparison value can be listed based on the basic network loss; or the network loss of each AVC system parameter control scheme can be listed based on the optimal control parameters that need to be verified.

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

La présente invention a trait à un procédé de vérification de paramètre de commande optimale dans l'ensemble du réseau pour un système de régulation de tension automatique. Sur la base d'un modèle unifié de commande automatique de volume et d'une structure unifiée de réseau électrique, remplaçant les données historiques unifiées d'une journée de charge typique, en comparant la vitesse de réglage et la vitesse de régulation de la tension centrale, la vitesse de passage de commande et la perte réseau de l'ensemble du réseau, le procédé se base sur des informations en temps réel du système de gestion d'énergie du réseau électrique et sur l'estimation de l'état de l'ensemble du réseau, de manière à vérifier un schéma de paramètre de commande optimale et un schéma de disposition réactive optimale. Le procédé permet de vérifier si les paramètres de sous-station de commande automatique de volume sont optimaux dans l'ensemble du réseau, et de fournir les conditions permettant d'atteindre les objectifs d'une tension de nœud de réseau électrique répondant aux normes et d'une perte réseau minimale de l'ensemble du réseau. Le procédé peut également être utilisé de manière à vérifier le schéma de disposition réactive optimale et à fournir une aide à la décision pour l'investissement dans la construction d'un réseau électrique.
PCT/CN2011/083161 2011-05-16 2011-11-29 Procédé de vérification de paramètre de commande optimale dans l'ensemble du réseau pour un système de régulation de tension automatique WO2012155494A1 (fr)

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CN201110124904.1 2011-05-16
CN201110124904.1A CN102289223B (zh) 2011-05-16 2011-05-16 自动电压控制***全网最优控制参数校验方法

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