CN113629788A - Automatic voltage control method for power system - Google Patents

Automatic voltage control method for power system Download PDF

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Publication number
CN113629788A
CN113629788A CN202110965662.2A CN202110965662A CN113629788A CN 113629788 A CN113629788 A CN 113629788A CN 202110965662 A CN202110965662 A CN 202110965662A CN 113629788 A CN113629788 A CN 113629788A
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power plant
control
rule
power
voltage control
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Inventor
王卫
王海云
唐涛南
赵瑞
周运斌
张绍峰
张雨璇
张再驰
陈茜
杨莉萍
刘永锋
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State Grid Beijing Electric Power Co Ltd
Beijing King Star Hi Tech System Control Co Ltd
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State Grid Beijing Electric Power Co Ltd
Beijing King Star Hi Tech System Control Co Ltd
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Priority to CN202110965662.2A priority Critical patent/CN113629788A/en
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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
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
    • H02J3/50—Controlling the sharing of the out-of-phase component
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
    • G05B13/042—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators in which a parameter or coefficient is automatically adjusted to optimise the performance
    • 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
    • H02J13/00006—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 information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
    • 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
    • H02J3/04—Circuit arrangements for ac mains or ac distribution networks for connecting networks of the same frequency but supplied from different sources
    • H02J3/06—Controlling transfer of power between connected networks; Controlling sharing of load between connected 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
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
    • 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
    • H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
    • H02J3/16—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by adjustment of reactive power
    • 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
    • H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
    • 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
    • Y02E40/30—Reactive power compensation
    • 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
    • Y04S10/12—Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation
    • 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
    • Y04S10/22—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
    • 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
    • Y04S40/12—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 characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Health & Medical Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Evolutionary Computation (AREA)
  • Medical Informatics (AREA)
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  • Automation & Control Theory (AREA)
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Abstract

The invention belongs to the technical field of automatic voltage control of an electric power system, and particularly relates to an automatic voltage control method of the electric power system. Defining intelligent expert rules for automatic voltage control of the power plant; collecting power plant parameters according to the power system model; generating a power plant automatic voltage control equipment set according to the intelligent expert rules and the power plant parameters; and solving a quadratic programming optimization model for the automatic voltage control of the power plant by utilizing the set of the automatic voltage control equipment of the power plant. According to the method, by defining an intelligent expert rule of automatic voltage control, when a control model is formed, a voltage curve of a control bus is automatically formed through the intelligent expert rule, and control signals of a control substation and a control unit are used for automatic control calculation and control instruction control; after the method is applied, the workload of manual maintenance can be reduced, and the telemetering and remote signaling correlation errors in the manual maintenance can be reduced, so that the safety of reactive voltage control is improved, and the operation stability of the power system is further improved.

Description

Automatic voltage control method for power system
Technical Field
The invention belongs to the technical field of automatic voltage control of an electric power system, and particularly relates to an automatic voltage control method of the electric power system.
Background
An Automatic Voltage Control (hereinafter referred to as AVC) system is an important means for achieving operation of power grid safety (improving Voltage stability margin), economy (reducing network loss) and high quality (improving Voltage qualification rate). The AVC system is constructed on a power grid Energy Management System (EMS), can scientifically decide an optimal reactive voltage regulation scheme from the perspective of global optimization of a power grid by utilizing real-time operation data of the power grid, and automatically issues the optimal reactive voltage regulation scheme to a power plant and a subordinate power grid dispatching mechanism for execution. The AVC system continuously performs real-time optimization control of voltage in a closed-loop manner by taking voltage safety and high quality as constraints and taking system operation economy as a target, realizes a whole set of analysis, decision, control, reanalysis, decision and re-control of reactive voltage real-time tracking control problems of online generation, real-time issuing, closed-loop automatic control and the like of a reactive voltage coordination control scheme, can effectively overcome the defects of the traditional power grid reactive voltage control means, and improves the level of safe, stable and economical operation of a power grid. The architecture of automatic voltage control of a large power grid is described in "global voltage optimization control system design based on soft partitioning" (power system automation, 2003, volume 27, paragraph 8, pages 16-20) by grand son, zhenberging and guo celebration.
The AVC system of the current provincial power grid dispatching center adopts a coordinated secondary voltage control method (CSVC) to realize the voltage control of a regional power grid containing a power plant, the secondary control is the control strategy calculation of partition decoupling, the power grid is automatically divided into all decoupled partitions, a plurality of central buses are selected in each partition, and the control strategies of various reactive resources including the power plant in each partition are respectively calculated for each partition so as to follow the optimization target of the central buses of the partition. In Guo Qing, grand bin, Zenberming proposed a Coordinated Secondary Voltage Control (CSVC) model in "research on coordinated secondary voltage control" (power system automation, 12. 2005, V29N23, pp.19-24).
Grand bin, zhanberming, and yearly, proposed a quasi-steady-state sensitivity method in the quasi-steady-state sensitivity analysis method (the report of motor engineering in china, V19N 4, 1999, 4 months, pp.9-13), which is different from the conventional static sensitivity analysis method, takes into account the quasi-steady-state physical response of the power system, and takes into account the total change between the new and old steady states before and after the system control, thereby effectively improving the accuracy of the sensitivity analysis. The method is based on a PQ decoupling model of a power system, and when a generator is provided with an Automatic Voltage Regulator (AVR), the generator node can be regarded as a PV node; a generator section may be considered to be when the generator is equipped with automatic reactive power regulation (AQR) or Automatic Power Factor Regulation (APFR)The PQ node is the same as the common load node. In addition, the load voltage static characteristic is considered as a primary or secondary curve of the node voltage. The established power flow model naturally takes these quasi-steady-state physical responses into account, so that the sensitivity calculated based on the power flow model is the quasi-steady-state sensitivity. In provincial dispatching AVC, CgAnd CvgQuasi-steady-state sensitivity is used.
In an electric power system, four remote refers to functions of remote measurement, remote signaling, remote control and remote regulation. Telemetry (telemetry information): and (4) remote measurement. And collecting and transmitting operation parameters including various electrical quantities (such as voltage, current, power and the like on a line), load flow and the like. Remote signaling (remote signaling information): a remote signal. Various protection and switching value information is collected and transmitted. Remote control (remote control information): and (5) remote control. And receiving and executing remote control commands, mainly switching on and off, and remotely controlling some remote switch control devices. Remote tuning (remote tuning information): and (4) remote adjustment. And receiving and executing a remote regulation command, and remotely debugging remote control quantity equipment, such as regulating the output power of the generator.
Disclosure of Invention
The invention aims to solve the problems in the prior art, and based on the discovery and understanding of the following problems and facts, the traditional automatic voltage control adopts an off-line model maintenance form, establishes equipment such as a control substation, a central bus, a control unit and the like through special tools, sets maintenance related parameters, associates related remote measuring remote signaling signals, such as input and exit of the control substation, remote local signals, remote adjusting information of the control bus, input and exit signals of the control unit, and guides a model into control calculation for use after the model maintenance is finished; the process needs manual maintenance and manual designation of four remote positions of the associated equipment, and the maintenance is completed manually, so that certain complex workload exists; furthermore, errors such as parameter maintenance errors and signal association errors occur inevitably in maintenance engineering, and the risk of association errors and establishment errors affects the stability and safety of the system.
The invention aims to provide an automatic voltage control method for a power plant, which automatically generates a control model of related control equipment through a power grid model according to defined intelligent expert rules, automatically associates four remote points, and is applied to automatic voltage control so as to reduce the manual maintenance work of the power plant model in the automatic voltage control process.
The embodiment of the invention provides an automatic voltage control method for a power plant, which comprises the following steps:
defining intelligent expert rules for automatic voltage control of the power plant;
collecting power plant parameters according to the power system model;
generating a power plant automatic voltage control equipment set according to the intelligent expert rules and the power plant parameters;
and solving a quadratic programming optimization model for the automatic voltage control of the power plant by utilizing the set of the automatic voltage control equipment of the power plant.
According to the automatic voltage control method of the power plant provided by the embodiment of the invention, the intelligent expert rule of the automatic voltage control of the power plant comprises the following steps:
intelligent regulation of automatic voltage control of power plants, consisting of multiple rules RHaThe power plant control bus modeling method comprises the following steps of forming an intelligent rule set RH, wherein the intelligent rule set RH comprises a voltage plan curve modeling rule, a power plant AVC substation modeling rule, a power plant control bus modeling rule and a power plant unit modeling rule, and the expression of each rule is the following triples:
RHa(AppO,MCond,MConc) (1)
wherein, AppO is a regular application object, MCond is a composite condition, MConc is a composite result, MCond and MConc are two vectors with the same dimension, namely MCond [ a ]]Corresponding result MConc [ a ] when the condition is satisfied]Effective, MConc [ a]Expressed as MConc ═ R1,R2...RanThat is, the rule result includes an elements;
wherein:
(a) according to the voltage grade of the control bus of the power plant, defining a voltage plan curve modeling rule as follows:
setting a rule application object, AppO ═ BSCM, that is, representing the application object of the rule as a voltage plan curve, and the composite condition of the rule and the corresponding composite result are as follows:
Figure BDA0003223856850000031
wherein, MCondmFor controlling the voltage level V of the bus according to the power plantbaseRetrieving a power plant control bus; MConcmFor a corresponding set of planned curves, including an upper voltage limit VmaxLower limit of voltage VminThe formula (2) represents
Figure BDA0003223856850000032
When the conditions are met, the automatically adopted voltage plan curve set in the automatic voltage control model of the power plant is
Figure BDA0003223856850000033
(b) Defining AVC substation modeling rules for controlling the power plant:
setting rule application object AppO ═ PVCycyxNamely, the application object of the expression rule is the AVC substation of the power plant, and the compound condition of the rule and the corresponding compound result are as follows:
Figure BDA0003223856850000034
wherein, MCondpvcType conditions for accessing an AVC controlled power plant, including: TYPE1Is conventional thermal power plant, TYPE2Conventional hydroelectric power plant, TYPE3Wind power plant and TYPE4A photovoltaic power station;
the conclusion part of a rule consists of a plurality of Filter elements, one element defines an information point to be associated, and one Filter element is defined as a triple:
Figure BDA0003223856850000041
wherein, type is the information point type, and the value range includes: remote measurement, remote signaling and remote regulation; the name is the associated information point type, and the value range comprises: the working state of the substation, the running state of the substation, the increasable reactive power of the total station, the reducible reactive power of the total station, the total real-time reactive power of the total station and the like; check is a name matching character string of an automatic association information point and is described by a regular expression, i1 is a TYPE subscript, j1 is 1 to mb, the number of defined Filter elements, p is the number of power plant TYPEs, and mb is the number of information points such as remote measurement, remote signaling and remote regulation needed to be associated by an AVC substation of the power plant;
(c) defining a modeling rule of a control bus of a control power plant:
setting rule application object AppO GBSycyxThat is, the application object of the expression rule is the power plant control bus, and the compound condition of the rule and the corresponding compound result are as follows:
Figure BDA0003223856850000042
wherein, MCondgbsFor accessing the type of the AVC controlled power plant, the value range comprises: TYPE1Is conventional thermal power plant, TYPE2Conventional hydroelectric power plant, TYPE3Wind power plant, TYPE4A photovoltaic power station;
Figure BDA0003223856850000043
defining association rules of remote measuring, remote signaling and remote adjusting information points of a power plant control bus; type is information point type, and the range of values includes: remote measurement, remote signaling and remote regulation; the name is an information point name associated to the power plant control bus, and the value range comprises: the real-time voltage value, the voltage control target value, the voltage control reference value and the like of the power plant control bus; check is a name matching character string of the automatic associated information point; i2 is a TYPE subscript, j2 is 1 to md, the number of defined Filter elements, g is the number of power plant TYPEs, and md is the number of telemetering, telesignalling and teleregulating information points associated with the power plant of the g-th TYPE;
(d) defining a generator set modeling rule for controlling the power plant:
setting rule application object AppO GENycyxI.e. byThe application object of the expression rule is the generator set of the power plant, and the compound condition of the rule and the corresponding compound result are as follows:
Figure BDA0003223856850000044
wherein, MCondgenFor accessing the type of AVC controlled power plant, including: TYPE1Is conventional thermal power plant, TYPE2Conventional hydroelectric power plant, TYPE3Wind power plant and TYPE4A photovoltaic power station;
Figure BDA0003223856850000051
an information point rule which is associated with the defined generator set; type is information point type, and its range of values includes: remote measurement, remote signaling and remote regulation; the name is a related information point name, and the value range of the name comprises: the method comprises the following steps of (1) lower computer state, unit reactive power measurement value, unit reactive power set value, unit reactive power lower limit, unit reactive power upper limit, unit magnetizing latching signal, unit demagnetizing latching signal and the like; check is a name matching character string of the automatic associated information point; i3 is a TYPE subscript, j3 is 1 to mt, the number of defined Filter elements, e is the number of defined power plant TYPEs, and mt is the number of information points which need to be associated and are defined by the power plant generating set of the e-th TYPE;
according to the automatic voltage control method of the power plant provided by the embodiment of the invention, the collecting of the parameters of the power plant according to the power system model comprises the following steps:
(1) traversing the power system model, judging the plant station in the power system model, if the current plant station is not the power plant, performing the step (2), if the current plant station is the power plant, generating power plant information S of the current power plant r, and acquiring { S } and S } of the current power plant r from the plant station model of the power system modelrStoring the data into a data buffer W;
(2) in the generator of the power system model, the generator belonging to the current power plant r is obtained and is marked as PG ═ PGk1K1 is 1, …, n1, n1 is the number of all generators in the current power plant r, and PG is stored in the data buffer W;
(3) obtaining a bus belonging to the current power plant r from buses of the power system model, and recording as BS ═ BSk2K2 is 1, …, n2, n2 is the number of all buses included in the current power plant r, and the BS is stored in a data buffer W;
(4) in the remote signaling of the power system model, remote signaling belonging to the current power plant r is obtained and is marked as YX ═ YXk3K3 is 1, …, n3, n3 is all remote signaling quantities contained in the current power plant, and YX is stored in a data buffer W;
(5) in the telemetering of the power system model, the telemetering belonging to the current power plant r is obtained and is marked as YC ═ { YC }k4K4 is 1, …, n4, n4 is all remote signaling quantity contained in the current power plant, and YC is stored in a data buffer W;
(6) in the remote regulation of the power system model, the remote regulation belonging to the current power plant r is obtained and is recorded as YT ═ YTk5K5 ═ 1, …, n5}, n5 is all remote tuning quantities contained in the current plant, YT is stored in data buffer W.
According to the method for automatically controlling the voltage of the power plant, which is provided by the embodiment of the invention, the generation of the set of the automatic voltage control equipment of the power plant according to the intelligent expert rules and the power plant parameters comprises the following steps:
defining a power plant automatic voltage control equipment set Sc { }, wherein the Sc comprises a substation, a power plant control bus and control unit equipment;
(1) traversing the power plant information S according to SrGenerating a set of control substations Pvc in a set of automatic voltage control devices of a power plantiAnd (PVC) according to the intelligent rule set, passing through AppO PVCycyxAnd MCondpvcAcquiring a remote signaling association rule Filter; according to the Filter, matching the current power plant remote signaling set YX to obtain a remote signaling signal, and adding the remote signaling signal into the PvciIn the set; will PvciAdding the voltage into a power plant automatic voltage control equipment set Sc;
(2) traversing the generator set PG to generate the power plant SrControl unit Gen in automatic voltage control equipment set of power plantjJ is from the power plant SiThe subscript of the generator set of (1) defines sn1 as SiThe number of the units is controlled, and the specific steps are as follows:
(2-1) control unit Genj，According to the intelligent rule set, through AppO (GEN)ycyxAnd MCondgenAutomatically acquiring a correlation rule Filter of remote signaling, matching in the current power plant remote signaling set YX according to the Filter to obtain a remote signaling signal, and adding the remote signaling signal into GenjIn the set; by Appo ═ GENycyxAnd MCondgenObtaining a remote regulation association rule Filter, matching the Filter in the current power plant remote regulation set YT to obtain a remote regulation signal, and adding the remote regulation signal into GenjIn the set; gen will bejAdding the voltage into a power plant automatic voltage control equipment set Sc;
(2-2) judging j, if j is less than sn1, returning to the step (2-1), if j is equal to or greater than sn1, carrying out (3)
(3) Traversing the bus set BS to generate the S belonging to the power plantrControl bus Gbs of power plantkK is from the power plant SiThe subscript of (g) defines gn2 as SiThe number of the control buses of the power plant comprises the following specific steps:
(3-1) control bus Gbs for power plantkAccording to the intelligent rule set, through AppO ═ GBSycyxAnd MCondgbsAutomatically acquiring a telemetering association rule Filter, matching in the telemetering set YC of the current power plant according to the Filter to obtain telemetering information of a power plant control bus, and adding the telemetering information into GbskIn the set; according to the intelligent rule set, through Appo ═ BSCM and MCondmObtaining a rule of a defined plan curve, and generating a current power plant control bus Gbs according to the rulekPlan curve Gbsk-bscmAnd curve Gbs of the plank-bscmAdding to GbskIn the set; will GbskAdding the voltage into a power plant automatic voltage control equipment set Sc;
and (3-2) judging j, if j is less than gn2, returning to (3-1), and if j is equal to or greater than gn2, executing (4).
According to the automatic voltage control method of the power plant, the solving of the quadratic programming optimization model for the automatic voltage control of the power plant by using the automatic voltage control parameters of the power plant comprises the following steps:
(1) establishing a quadratic programming optimization model for automatic voltage control of the power plant, wherein the objective function expression of the quadratic programming optimization model is as follows:
Figure BDA0003223856850000061
wherein, VpRepresents the current voltage of the main pivot bus of the power plant,
Figure BDA0003223856850000062
indicating the neutral bus set voltage in the zone, CgIs a central bus reactive voltage sensitivity matrix, Δ QgIndicating the amount of regulation of the reactive power of the generator of the power plant, WpAnd WqIs a weight coefficient, WpAnd WqThe value ranges of the alpha is 0 to 0.5, the alpha is a gain coefficient, the value range of the alpha is 0 to 0.5,
Θgis a reactive margin vector, thetagIs:
Figure BDA0003223856850000071
wherein the content of the first and second substances,
Figure BDA0003223856850000072
is the current reactive power output of the generator i,
Figure BDA0003223856850000073
is the adjustment of the reactive power of the generator i,
Figure BDA0003223856850000074
is the maximum value of the reactive power of the generator i,
Figure BDA0003223856850000075
is the reactive minimum of generator i, i being the generatorThe serial number of (c) | Θg||2A reactive margin vector set is obtained;
the constraint condition expression of the quadratic programming optimization model is as follows:
Figure BDA0003223856850000076
wherein, C0、C1、C2、C3Are respectively a constraint equation, CvgFor controlling the reactive voltage sensitivity matrix, V, of the bus at the high-voltage sideHThe present voltage of the bus is controlled for the high side of the generator,
Figure BDA0003223856850000077
and
Figure BDA0003223856850000078
respectively representing a central bus voltage lower limit and a central bus voltage upper limit;
Figure BDA0003223856850000079
and
Figure BDA00032238568500000710
respectively representing a reactive lower limit and a reactive upper limit of the generator;
Figure BDA00032238568500000711
and
Figure BDA00032238568500000712
respectively representing a voltage lower limit, a voltage upper limit and an allowable single-step maximum adjustment amount of a high-voltage side control bus of the generator;
(2) when each automatic voltage control period comes, acquiring power plant telemetering data and remote signaling data in the power plant automatic voltage control equipment set Sc from a power system control center in real time according to the power plant automatic voltage control equipment set Sc;
(3) substituting the power plant remote measuring and remote signaling data Sc collected in the step (3) into a secondary planning optimization model of the power plant automatic voltage control according to the power plant automatic voltage control equipment set Sc to form a secondary planning calculation model of the power plant automatic voltage control with real-time calculation data, and specifically comprising the following steps:
(3-1) traversing a control generator Gen in the set Sc of the automatic voltage control equipment of the power plant, and carrying out control on the control generator GenwThe type of the power plant is judged if GenwThe power plant is a conventional thermal power plant or a conventional hydraulic power plant, and the generator is controlledwIf the working state and the running state of the input and the exit and the control substation are both 1, the control generator Gen is usedwAdding optimization models, i.e. to control the generator GenwThe lower reactive limit and the upper reactive limit are taken as quadratic programming optimization models of the step (1)
Figure BDA00032238568500000713
And
Figure BDA00032238568500000714
if the generator Gen is controlledwControlling generator Gen for wind or photovoltaic power plantwIf the working state and the running state of the input and exit control substation are both 1, the generator is added into the optimization model, and the ratio of the total station increasable reactive power and the total station decreasable reactive power of the control substation is distributed to the lower reactive power limit and the upper reactive power limit of the control generator, namely the secondary planning optimization model in the step (1)
Figure BDA0003223856850000081
And
Figure BDA0003223856850000082
(3-2) traversing the set Sc control bus Gbs of the automatic voltage control equipment of the power plant according to the GbsgjPlan curve Gbsg ofj-bscmObtaining the lower voltage limit of the control bus from the set of automatic voltage control equipment Sc of the power plant
Figure BDA0003223856850000083
And upper limit of voltage
Figure BDA0003223856850000084
And adding the control bus to the optimization model as the optimization model
Figure BDA0003223856850000085
Using the current voltage measurement of the control bus as V of the optimization modelH；
(4) Solving the optimization model generated in the step (3-2) by adopting a quadratic programming calculation method to obtain an adjustment quantity delta Q for controlling the reactive power output of the generatorgAnd the regulating quantity delta Q for controlling the reactive power output of the generatorgThe automatic voltage control substation of the power plant is issued by controlling the remote regulation of the generator, so as to realize automatic voltage control.
According to the embodiment of the invention, by defining an intelligent expert rule for automatic voltage control, when a control model is formed, a voltage curve of a control bus is automatically formed through the intelligent expert rule, and control signals of a control substation and a control unit are used for automatic control calculation and control instruction control; after the method is applied, the workload of manual maintenance can be reduced, and the telemetering and remote signaling correlation errors in the manual maintenance can be reduced, so that the safety of reactive voltage control is improved, and the operation stability of the power system is further improved.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It is obvious that the drawings in the following description are only some embodiments of the invention, and that for a person skilled in the art, other drawings can be derived from them without inventive effort.
FIG. 1 is a block flow diagram of the method of the present invention.
FIG. 2 is a schematic diagram of a quadratic programming computational power plant model to which the method of the present invention relates.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
An embodiment of the present invention provides a method for controlling an automatic voltage of a power plant, a flow chart of which is shown in fig. 1, including:
defining intelligent expert rules for automatic voltage control of the power plant;
collecting power plant parameters according to the power system model;
generating a power plant automatic voltage control equipment set according to the intelligent expert rules and the power plant parameters;
and solving a quadratic programming optimization model for the automatic voltage control of the power plant by utilizing the set of the automatic voltage control equipment of the power plant.
In one embodiment of the present invention, the intelligent expert rules for automatic voltage control of a power plant include:
intelligent regulation of automatic voltage control of power plants, consisting of multiple rules RHaThe power plant control bus modeling method comprises the following steps of forming an intelligent rule set RH, wherein the intelligent rule set RH comprises a voltage plan curve modeling rule, a power plant AVC substation modeling rule, a power plant control bus modeling rule and a power plant unit modeling rule, and the expression of each rule is the following triples:
RHa(AppO,MCond,MConc) (1)
wherein, the AppO is a regular application object and can be a voltage plan curve, a power plant control bus and a generator set; MCond is a composite condition, MConc is a composite result, and MCond and MConc are two vectors with the same dimension, namely MCond [ a ]]Corresponding result MConc [ a ] when the condition is satisfied]Effective, MConc [ a]Expressed as MConc ═ R1,R2...RanI.e. the rule result includes an elements, an beingThe number of elements;
wherein:
(a) according to the voltage grade of the control bus of the power plant, defining a voltage plan curve modeling rule as follows:
the voltage plan curve modeling rule mainly defines voltage plan limit values adopted by power plant control buses of various voltage levels in AVC control, a rule application object AppO is set to be BSCM (basic service model), namely the application object representing the rule is a voltage plan curve, and the compound conditions and the corresponding compound results of the rule are as follows:
Figure BDA0003223856850000091
wherein, MCondmFor controlling the voltage level V of the bus according to the power plantbaseRetrieving a power plant control bus; MConcmFor a corresponding set of planned curves, including an upper voltage limit VmaxLower limit of voltage VminThe formula (2) represents
Figure BDA0003223856850000092
When the conditions are met, the automatically adopted voltage plan curve set in the automatic voltage control model of the power plant is
Figure BDA0003223856850000093
(b) Defining AVC substation modeling rules for controlling the power plant:
the AVC substation modeling rule of the power plant mainly defines information points which need to be related to the AVC substation of the power plant in AVC control, such as remote measurement, remote signaling and remote regulation. Setting rule application object AppO ═ PVCycyxNamely, the application object of the expression rule is the AVC substation of the power plant, and the compound condition of the rule and the corresponding compound result are as follows:
Figure BDA0003223856850000101
wherein, MCondpvcType conditions for accessing an AVC controlled power plant, including: TYPE1Is conventional thermal power plant, TYPE2Conventional hydroelectric power plant, TYPE3Wind power plant, TYPE4Photovoltaic power stations, etc.; in automatic voltage control, the telemetering, remote signaling and issued remote regulating instructions accessed by different types of AVC substations of the power plant are different, and the corresponding rule conclusion describes the telemetering, remote signaling and remote regulating points which need to be accessed by the AVC substations of the power plant. The conclusion part of a rule consists of a plurality of Filter elements, one element defines an information point to be associated, and one Filter element is defined as a triple:
Figure BDA0003223856850000102
wherein, type is the information point type, and the value range includes: remote measurement, remote signaling and remote regulation; the name is the associated information point type, and the value range comprises: the working state of the substation, the running state of the substation, the increasable reactive power of the total station, the reducible reactive power of the total station, the total real-time reactive power of the total station and the like; the check is a name matching character string of the automatic associated information points and is described by a regular expression, if the name matching character string corresponding to the TYPE 'substation working state' is 'AVC substation working state', i1 is a TYPE subscript, j1 is 1 to mb, the number of defined Filter elements, p is the number of power plant TYPEs, and mb is the number of information points such as remote measurement, remote signaling and remote regulation needed to be associated with the AVC substation of the power plant of the TYPE; the AVC substations of different types of power plants can have different numbers of information points required to be associated.
(c) Defining a modeling rule of a control bus of a control power plant:
the modeling rule of the power plant control bus mainly defines information points such as remote measurement, remote signaling and remote regulation which need to be associated with the power plant control bus in AVC control. Setting rule application object AppO GBSycyxThat is, the application object of the expression rule is the power plant control bus, and the compound condition of the rule and the corresponding compound result are as follows:
Figure BDA0003223856850000111
wherein, MCondgbsFor accessing the type of the AVC controlled power plant, the value range comprises: TYPE1Is conventional thermal power plant, TYPE2Conventional hydroelectric power plant, TYPE3Wind power plant, TYPE4A photovoltaic power station; the information points of control instructions and the like which need to be issued by different types of power plant control buses are different and need to be defined through modeling rules. The conclusion part of the rule is as defined in equation (4), i.e.
Figure BDA0003223856850000112
Defining association rules of remote measuring, remote signaling and remote adjusting information points of a power plant control bus; type is information point type, and the range of values includes: remote measurement, remote signaling and remote regulation; the name is an information point name associated to the power plant control bus, and the value range comprises: the real-time voltage value, the voltage control target value, the voltage control reference value and the like of the power plant control bus; check is a name matching character string of the automatic associated information point; i2 is a TYPE subscript, j2 is 1 to md, the number of defined Filter elements, g is the number of power plant TYPEs, and md is the number of telemetering, telesignalling and teleregulating information points associated with the power plant of the g-th TYPE; the number of information points which need to be associated with different types of power plant control buses can be different;
(d) defining a generator set modeling rule for controlling the power plant:
a power plant generator set modeling rule mainly defines information points, such as remote measurement, remote signaling and remote regulation, which need to be associated with a power plant generator set in AVC control. Setting rule application object AppO GENycyxThat is, the application object of the rule is the generator set of the power plant, and the composite condition of the rule and the corresponding composite result are as follows:
Figure BDA0003223856850000113
wherein, MCondgenFor accessing the type of AVC controlled power plant, including: TYPE1Is conventional thermal power plant, TYPE2Conventional hydroelectric power plant, TYPE3Wind power plant, TYPE4Photovoltaic power station, generator set of different types of power plants needing to be collectedOr the issued information points are different and need to be defined by modeling rules. The conclusion part of the rule is defined as equation (4), i.e.
Figure BDA0003223856850000114
An information point rule which is associated with the defined generator set; type is information point type, and its range of values includes: remote measurement, remote signaling and remote regulation; the name is a related information point name, and the value range of the name comprises: the method comprises the following steps of (1) lower computer state, unit reactive power measurement value, unit reactive power set value, unit reactive power lower limit, unit reactive power upper limit, unit magnetizing latching signal, unit demagnetizing latching signal and the like; check is a name matching character string of the automatic associated information point; i3 is a TYPE subscript, j3 is 1 to mt, the number of defined Filter elements, e is the number of defined power plant TYPEs, and mt is the number of information points which need to be associated and are defined by the power plant generating set of the e-th TYPE; the number of information points that need to be associated with generator sets of different types of power plants may be different.
In an embodiment of the present invention, the collecting the plant parameters according to the power system model includes:
(1) traversing the power system model, judging the plant station in the power system model, if the current plant station is not the power plant, performing the step (2), if the current plant station is the power plant, generating power plant information S of the current power plant r, and acquiring { S } and S } of the current power plant r from the plant station model of the power system modelrStoring the data into a data buffer W;
(2) in the generator of the power system model, the generator belonging to the current power plant r is obtained and is marked as PG ═ PGk1K1 is 1, …, n1, n1 is the number of all generators in the current power plant r, and PG is stored in the data buffer W;
(3) obtaining a bus belonging to the current power plant r from buses of the power system model, and recording as BS ═ BSk2K2 is 1, …, n2, n2 is the number of all buses included in the current power plant r, and the BS is stored in a data buffer W;
(4) in the remote signaling of the power system model, remote signaling belonging to the current power plant r is obtained and is marked as YX ═ YXk3K3 is 1, …, n3, and n3 is whenStoring YX into a data buffer area W according to all remote signaling quantities contained in the previous power plant;
(5) in the telemetering of the power system model, the telemetering belonging to the current power plant r is obtained and is marked as YC ═ { YC }k4K4 is 1, …, n4, n4 is all remote signaling quantity contained in the current power plant, and YC is stored in a data buffer W;
(6) in the remote regulation of the power system model, the remote regulation belonging to the current power plant r is obtained and is recorded as YT ═ YTk5K5 ═ 1, …, n5}, n5 is all remote tuning quantities contained in the current plant, YT is stored in data buffer W.
In an embodiment of the present invention, the generating a set of automatic voltage control devices of a power plant according to the intelligent expert rules and the power plant parameters includes:
defining a power plant automatic voltage control equipment set Sc { }, wherein the Sc comprises a substation, a power plant control bus and control unit equipment;
(1) traversing the power plant information S according to SrGenerating a set of control substations Pvc in a set of automatic voltage control devices of a power plantiAnd (PVC) according to the intelligent rule set, passing through AppO PVCycyxAnd MCondpvcAcquiring a remote signaling association rule Filter; according to the Filter, matching the current power plant remote signaling set YX to obtain remote signaling signals, such as input and exit of a power plant substation and remote local remote signaling signals, and adding the remote signaling signals into the PvciIn the set; will PvciAdding the voltage into a power plant automatic voltage control equipment set Sc; the different types of power plant AVC substations have different access telemetering, remote signaling and issued remote regulating instructions.
(2) Traversing the generator set PG to generate the power plant SrControl unit Gen in automatic voltage control equipment set of power plantjJ is from the power plant SiThe subscript of the generator set of (1) defines sn1 as SiThe number of the units is controlled, and the specific steps are as follows:
(2-1) control unit Genj，According to the intelligent rule set, through AppO (GEN)ycyxAnd MCondgenAssociation gauge for automatically acquiring remote signalingAnd the Filter is matched in the current power plant remote signaling set YX according to the Filter to obtain remote signaling signals, such as the input and the exit of a control unit, and the remote signaling signals are added to GenjIn the set; by Appo ═ GENycyxAnd MCondgenAcquiring a remote regulation association rule Filter, matching the Filter in the current power plant remote regulation set YT to obtain a remote regulation signal, issuing the remote regulation signal if an instruction of a control unit is given, and adding the remote regulation signal into GenjIn the set; gen will bejAdding the voltage into a power plant automatic voltage control equipment set Sc;
(2-2) judging j, if j is less than sn1, returning to the step (2-1), if j is equal to or greater than sn1, carrying out (3)
(3) Traversing the bus set BS to generate the S belonging to the power plantrControl bus Gbs of power plantkK is from the power plant SiThe subscript of (g) defines gn2 as SiThe number of the control buses of the power plant comprises the following specific steps:
(3-1) control bus Gbs for power plantkAccording to the intelligent rule set, through AppO ═ GBSycyxAnd MCondgbsAutomatically acquiring a telemetering association rule Filter, matching in the telemetering set YC of the current power plant according to the Filter to obtain telemetering information of a power plant control bus, and adding the telemetering information into GbskIn the set; according to the intelligent rule set, through Appo ═ BSCM and MCondmObtaining a rule of a defined plan curve, and generating a current power plant control bus Gbs according to the rulekPlan curve Gbsk-bscmAnd curve Gbs of the plank-bscmAdding to GbskIn the set; will GbskAdding the voltage into a power plant automatic voltage control equipment set Sc;
and (3-2) judging j, if j is less than gn2, returning to (3-1), and if j is equal to or greater than gn2, executing (4).
In an embodiment of the present invention, the solving a quadratic programming optimization model for power plant automatic voltage control using the power plant automatic voltage control parameters includes:
(1) establishing a quadratic programming optimization model for automatic voltage control of a power plant, wherein a schematic diagram of a quadratic programming calculation power plant model is shown in FIG. 2, and an objective function expression of the quadratic programming optimization model is as follows:
Figure BDA0003223856850000131
wherein, VpRepresents the current voltage of the main pivot bus of the power plant,
Figure BDA0003223856850000132
indicating the neutral bus set voltage in the zone, CgIs a central bus reactive voltage sensitivity matrix, Δ QgIndicating the amount of regulation of the reactive power of the generator of the power plant, WpAnd WqIs a weight coefficient, WpAnd WqThe value ranges of the alpha is 0 to 0.5, the alpha is a gain coefficient, the value range of the alpha is 0 to 0.5,
Θgis a reactive margin vector, thetagIs:
Figure BDA0003223856850000141
wherein the content of the first and second substances,
Figure BDA0003223856850000142
is the current reactive power output of the generator i,
Figure BDA0003223856850000143
is the adjustment of the reactive power of the generator i,
Figure BDA0003223856850000144
is the maximum value of the reactive power of the generator i,
Figure BDA0003223856850000145
is the reactive minimum value of a generator i, i is the serial number of the generator, | | thetag||2A reactive margin vector set is obtained;
the constraint condition expression of the quadratic programming optimization model is as follows:
Figure BDA0003223856850000146
wherein, C0、C1、C2、C3Are respectively a constraint equation, CvgFor controlling the reactive voltage sensitivity matrix, V, of the bus at the high-voltage sideHThe present voltage of the bus is controlled for the high side of the generator,
Figure BDA0003223856850000147
and
Figure BDA0003223856850000148
respectively representing a central bus voltage lower limit and a central bus voltage upper limit;
Figure BDA0003223856850000149
and
Figure BDA00032238568500001410
respectively representing a reactive lower limit and a reactive upper limit of the generator;
Figure BDA00032238568500001411
and
Figure BDA00032238568500001412
respectively representing a voltage lower limit, a voltage upper limit and an allowable single-step maximum adjustment amount of a high-voltage side control bus of the generator;
(2) when each automatic voltage control period comes, according to the power plant automatic voltage control equipment set Sc, acquiring power plant telemetering data (such as a reactive lower limit and a reactive upper limit of a generator) and remote signaling (such as the input and the exit of a control substation and the working state of the control substation) data in the power plant automatic voltage control equipment set Sc from a power system control center in real time;
(3) substituting the power plant remote measuring and remote signaling data Sc collected in the step (3) into a secondary planning optimization model of the power plant automatic voltage control according to the power plant automatic voltage control equipment set Sc to form a secondary planning calculation model of the power plant automatic voltage control with real-time calculation data, and specifically comprising the following steps:
(3-1) traversing the control generator Gen in the automatic voltage control equipment set Sc of the power plant, wherein the telemetering, remote signaling and issued remote adjusting instructions accessed by the AVC substation and the control unit of the power plant of different types are different, and the control generator Gen is controlledwThe type of the power plant is judged if GenwThe power plant is a conventional thermal power plant or a conventional hydraulic power plant, and the generator is controlledwThe working state and the running state of the input and the exit and the control substation are both 1(1 means that the generator is controlled to be input into AVC control and the generator participates in the control), the generator Gen is controlledwAdding optimization models, i.e. to control the generator GenwThe lower reactive limit and the upper reactive limit are taken as quadratic programming optimization models of the step (1)
Figure BDA00032238568500001413
And
Figure BDA00032238568500001414
if the generator Gen is controlledwControlling generator Gen for wind or photovoltaic power plantwIf the working state and the running state of the input and exit control substation are both 1, the generator is added into the optimization model, and the ratio of the total station increasable reactive power and the total station decreasable reactive power of the control substation is distributed to the lower reactive power limit and the upper reactive power limit of the control generator, namely the secondary planning optimization model in the step (1)
Figure BDA0003223856850000151
And
Figure BDA0003223856850000152
(3-2) traversing the set Sc control bus Gbs of the automatic voltage control equipment of the power plant according to the GbsgjPlan curve Gbsg ofj-bscmObtaining the lower voltage limit of the control bus from the set of automatic voltage control equipment Sc of the power plant
Figure BDA0003223856850000153
And upper limit of voltage
Figure BDA0003223856850000154
And adding the control bus to the optimization model as the optimization model
Figure BDA0003223856850000155
Using the current voltage measurement of the control bus as V of the optimization modelH；
(4) Solving the optimization model generated in the step (3-2) by adopting a quadratic programming calculation method to obtain an adjustment quantity delta Q for controlling the reactive power output of the generatorgAnd the regulating quantity delta Q for controlling the reactive power output of the generatorgThe automatic voltage control is realized by controlling the remote regulation of the generator to be issued to the automatic voltage control substation of the power plant.
According to the method, by defining an intelligent expert rule of automatic voltage control, when a control model is formed, a voltage curve of a control bus is automatically formed through the intelligent expert rule, and control signals of a control substation and a control unit are used for automatic control calculation and control instruction control; after the method is applied, the workload of manual maintenance can be reduced, and the telemetering and remote signaling correlation errors in the manual maintenance can be reduced, so that the safety of reactive voltage control is improved, and the operation stability of the power system is further improved.
While the foregoing is directed to the preferred embodiment of the present disclosure, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention.

Claims (5)

1. A power plant automatic voltage control method is characterized by comprising the following steps:
defining intelligent expert rules for automatic voltage control of the power plant;
collecting power plant parameters according to the power system model;
generating a power plant automatic voltage control equipment set according to the intelligent expert rules and the power plant parameters;
and solving a quadratic programming optimization model for the automatic voltage control of the power plant by utilizing the set of the automatic voltage control equipment of the power plant.
2. The automatic power plant voltage control method of claim 1, wherein the intelligent expert rules for automatic power plant voltage control comprise:
intelligent regulation of automatic voltage control of power plants, consisting of multiple rules RHaThe power plant control bus modeling method comprises the following steps of forming an intelligent rule set RH, wherein the intelligent rule set RH comprises a voltage plan curve modeling rule, a power plant AVC substation modeling rule, a power plant control bus modeling rule and a power plant unit modeling rule, and the expression of each rule is the following triples:
RHa(AppO,MCond,MConc) (1)
wherein, AppO is a regular application object, MCond is a composite condition, MConc is a composite result, MCond and MConc are two vectors with the same dimension, namely MCond [ a ]]Corresponding result MConc [ a ] when the condition is satisfied]Effective, MConc [ a]Expressed as MConc ═ R1,R2...RanThat is, the rule result includes an elements;
wherein:
(a) according to the voltage grade of the control bus of the power plant, defining a voltage plan curve modeling rule as follows:
setting a rule application object, AppO ═ BSCM, that is, representing the application object of the rule as a voltage plan curve, and the composite condition of the rule and the corresponding composite result are as follows:
Figure FDA0003223856840000011
wherein, MCondmFor controlling the voltage level V of the bus according to the power plantbaseRetrieving a power plant control bus; MConcmFor a corresponding set of planned curves, including an upper voltage limit VmaxLower limit of voltage VminThe formula (2) represents
Figure FDA0003223856840000012
When the conditions are met, the automatically adopted voltage plan curve set in the automatic voltage control model of the power plant is
Figure FDA0003223856840000013
(b) Defining AVC substation modeling rules for controlling the power plant:
setting rule application object AppO ═ PVCycyxNamely, the application object of the expression rule is the AVC substation of the power plant, and the compound condition of the rule and the corresponding compound result are as follows:
Figure FDA0003223856840000021
wherein, MCondpvcType conditions for accessing an AVC controlled power plant, including: TYPE1Is conventional thermal power plant, TYPE2Conventional hydroelectric power plant, TYPE3Wind power plant and TYPE4A photovoltaic power station;
the conclusion part of a rule consists of a plurality of Filter elements, one element defines an information point to be associated, and one Filter element is defined as a triple:
Figure FDA0003223856840000022
wherein, type is the information point type, and the value range includes: remote measurement, remote signaling and remote regulation; the name is the associated information point type, and the value range comprises: the working state of the substation, the running state of the substation, the increasable reactive power of the total station, the reducible reactive power of the total station, the total real-time reactive power of the total station and the like; check is a name matching character string of an automatic association information point and is described by a regular expression, i1 is a TYPE subscript, j1 is 1 to mb, the number of defined Filter elements, p is the number of power plant TYPEs, and mb is the number of information points such as remote measurement, remote signaling and remote regulation needed to be associated by an AVC substation of the power plant;
(c) defining a modeling rule of a control bus of a control power plant:
setting rule application object AppO GBSycyxThat is, the application object of the expression rule is the power plant control bus, and the compound condition of the rule and the corresponding compound result are as follows:
Figure FDA0003223856840000023
wherein, MCondgbsFor accessing the type of the AVC controlled power plant, the value range comprises: TYPE1Is conventional thermal power plant, TYPE2Conventional hydroelectric power plant, TYPE3Wind power plant, TYPE4A photovoltaic power station;
Figure FDA0003223856840000024
defining association rules of remote measuring, remote signaling and remote adjusting information points of a power plant control bus; type is information point type, and the range of values includes: remote measurement, remote signaling and remote regulation; the name is an information point name associated to the power plant control bus, and the value range comprises: the real-time voltage value, the voltage control target value, the voltage control reference value and the like of the power plant control bus; check is a name matching character string of the automatic associated information point; i2 is a TYPE subscript, j2 is 1 to md, the number of defined Filter elements, g is the number of power plant TYPEs, and md is the number of telemetering, telesignalling and teleregulating information points associated with the power plant of the g-th TYPE;
(d) defining a generator set modeling rule for controlling the power plant:
setting rule application object AppO GENycyxThat is, the application object of the rule is the generator set of the power plant, and the composite condition of the rule and the corresponding composite result are as follows:
Figure FDA0003223856840000031
wherein, MCondgenFor accessing the type of AVC controlled power plant, including: TYPE1Is conventional thermal power plant, TYPE2Conventional hydroelectric power plant, TYPE3Wind power plant and TYPE4A photovoltaic power station;
Figure FDA0003223856840000032
an information point rule which is associated with the defined generator set; type is information point type, and its range of values includes: remote measurement, remote signaling and remote regulation; the name is a related information point name, and the value range of the name comprises: the method comprises the following steps of (1) lower computer state, unit reactive power measurement value, unit reactive power set value, unit reactive power lower limit, unit reactive power upper limit, unit magnetizing latching signal, unit demagnetizing latching signal and the like; check is a name matching character string of the automatic associated information point; i3 is a TYPE subscript, j3 is 1 to mt, the number of defined Filter elements, e is the number of defined power plant TYPEs, and mt is the number of information points which need to be associated and are defined by the power plant generating set of the e-th TYPE.
3. The power plant automatic voltage control method of claim 1, wherein collecting power plant parameters from a power system model comprises:
(1) traversing the power system model, judging the plant station in the power system model, if the current plant station is not the power plant, performing the step (2), if the current plant station is the power plant, generating power plant information S of the current power plant r, and acquiring { S } and S } of the current power plant r from the plant station model of the power system modelrStoring the data into a data buffer W;
(2) in the generator of the power system model, the generator belonging to the current power plant r is obtained and is marked as PG ═ PGk1K1 is 1, …, n1, n1 is the number of all generators in the current power plant r, and PG is stored in the data buffer W;
(3) obtaining a bus belonging to the current power plant r from buses of the power system model, and recording as BS ═ BSk2K2 is 1, …, n2, n2 is the number of all buses included in the current power plant r, and the BS is stored in a data buffer W;
(4) in the remote signaling of the power system model, remote signaling belonging to the current power plant r is obtained and is marked as YX ═ YXk3K3 ═ 1, …, n3}, n3 is all telesignalling quantities contained in the current plant, and Y is addedX is stored in a data buffer W;
(5) in the telemetering of the power system model, the telemetering belonging to the current power plant r is obtained and is marked as YC ═ { YC }k4K4 is 1, …, n4, n4 is all remote signaling quantity contained in the current power plant, and YC is stored in a data buffer W;
(6) in the remote regulation of the power system model, the remote regulation belonging to the current power plant r is obtained and is recorded as YT ═ YTk5K5 ═ 1, …, n5}, n5 is all remote tuning quantities contained in the current plant, YT is stored in data buffer W.
4. The power plant automatic voltage control method of claim 1, wherein generating a set of power plant automatic voltage control devices based on the intelligent expert rules and power plant parameters comprises:
defining a power plant automatic voltage control equipment set Sc { }, wherein the Sc comprises a substation, a power plant control bus and control unit equipment;
(1) traversing the power plant information S according to SrGenerating a set of control substations Pvc in a set of automatic voltage control devices of a power plantiAnd (PVC) according to the intelligent rule set, passing through AppO PVCycyxAnd MCondpvcAcquiring a remote signaling association rule Filter; according to the Filter, matching the current power plant remote signaling set YX to obtain a remote signaling signal, and adding the remote signaling signal into the PvciIn the set; will PvciAdding the voltage into a power plant automatic voltage control equipment set Sc;
(2) traversing the generator set PG to generate the power plant SrControl unit Gen in automatic voltage control equipment set of power plantjJ is from the power plant SiThe subscript of the generator set of (1) defines sn1 as SiThe number of the units is controlled, and the specific steps are as follows:
(2-1) control unit Genj，According to the intelligent rule set, through AppO (GEN)ycyxAnd MCondgenAutomatically acquiring a correlation rule Filter of remote signaling, matching in the current power plant remote signaling set YX according to the Filter to obtain a remote signaling signal, and transmitting the remote signaling signalAddition of signals to GenjIn the set; by Appo ═ GENycyxAnd MCondgenObtaining a remote regulation association rule Filter, matching the Filter in the current power plant remote regulation set YT to obtain a remote regulation signal, and adding the remote regulation signal into GenjIn the set; gen will bejAdding the voltage into a power plant automatic voltage control equipment set Sc;
(2-2) judging j, if j is less than sn1, returning to the step (2-1), if j is equal to or greater than sn1, carrying out (3)
(3) Traversing the bus set BS to generate the S belonging to the power plantrControl bus Gbs of power plantkK is from the power plant SiThe subscript of (g) defines gn2 as SiThe number of the control buses of the power plant comprises the following specific steps:
(3-1) control bus Gbs for power plantkAccording to the intelligent rule set, through AppO ═ GBSycyxAnd MCondgbsAutomatically acquiring a telemetering association rule Filter, matching in the telemetering set YC of the current power plant according to the Filter to obtain telemetering information of a power plant control bus, and adding the telemetering information into GbskIn the set; according to the intelligent rule set, through Appo ═ BSCM and MCondmObtaining a rule of a defined plan curve, and generating a current power plant control bus Gbs according to the rulekPlan curve Gbsk-bscmAnd curve Gbs of the plank-bscmAdding to GbskIn the set; will GbskAdding the voltage into a power plant automatic voltage control equipment set Sc;
and (3-2) judging j, if j is less than gn2, returning to (3-1), and if j is equal to or greater than gn2, executing (4).
5. The power plant automatic voltage control method of claim 1, wherein solving a quadratic programming optimization model for power plant automatic voltage control using the power plant automatic voltage control parameters comprises:
(1) establishing a quadratic programming optimization model for automatic voltage control of the power plant, wherein the objective function expression of the quadratic programming optimization model is as follows:
Figure FDA0003223856840000051
wherein, VpRepresents the current voltage of the main pivot bus of the power plant,
Figure FDA0003223856840000052
indicating the neutral bus set voltage in the zone, CgIs a central bus reactive voltage sensitivity matrix, Δ QgIndicating the amount of regulation of the reactive power of the generator of the power plant, WpAnd WqIs a weight coefficient, WpAnd WqThe value ranges of the alpha is 0 to 0.5, the alpha is a gain coefficient, the value range of the alpha is 0 to 0.5,
Θgis a reactive margin vector, thetagIs:
Figure FDA0003223856840000053
wherein the content of the first and second substances,
Figure FDA0003223856840000054
is the current reactive power output of the generator i,
Figure FDA0003223856840000055
is the adjustment of the reactive power of the generator i,
Figure FDA0003223856840000056
is the maximum value of the reactive power of the generator i,
Figure FDA0003223856840000057
is the reactive minimum value of a generator i, i is the serial number of the generator, | | thetag||2A reactive margin vector set is obtained;
the constraint condition expression of the quadratic programming optimization model is as follows:
Figure FDA0003223856840000058
wherein, C0、C1、C2、C3Are respectively a constraint equation, CvgFor controlling the reactive voltage sensitivity matrix, V, of the bus at the high-voltage sideHThe present voltage of the bus is controlled for the high side of the generator,
Figure FDA0003223856840000059
and
Figure FDA00032238568400000510
respectively representing a central bus voltage lower limit and a central bus voltage upper limit;
Figure FDA00032238568400000511
and
Figure FDA00032238568400000512
respectively representing a reactive lower limit and a reactive upper limit of the generator;
Figure FDA00032238568400000513
and
Figure FDA00032238568400000514
respectively representing a voltage lower limit, a voltage upper limit and an allowable single-step maximum adjustment amount of a high-voltage side control bus of the generator;
(2) when each automatic voltage control period comes, acquiring power plant telemetering data and remote signaling data in the power plant automatic voltage control equipment set Sc from a power system control center in real time according to the power plant automatic voltage control equipment set Sc;
(3) substituting the power plant remote measuring and remote signaling data Sc collected in the step (3) into a secondary planning optimization model of the power plant automatic voltage control according to the power plant automatic voltage control equipment set Sc to form a secondary planning calculation model of the power plant automatic voltage control with real-time calculation data, and specifically comprising the following steps:
(3-1) traversing a control generator Gen in the set Sc of the automatic voltage control equipment of the power plant, and carrying out control on the control generator GenwThe type of the power plant is judged if GenwThe power plant is a conventional thermal power plant or a conventional hydraulic power plant, and the generator is controlledwIf the working state and the running state of the input and the exit and the control substation are both 1, the control generator Gen is usedwAdding optimization models, i.e. to control the generator GenwThe lower reactive limit and the upper reactive limit are taken as quadratic programming optimization models of the step (1)
Figure FDA0003223856840000061
And
Figure FDA0003223856840000062
if the generator Gen is controlledwControlling generator Gen for wind or photovoltaic power plantwIf the working state and the running state of the input and exit control substation are both 1, the generator is added into the optimization model, and the ratio of the total station increasable reactive power and the total station decreasable reactive power of the control substation is distributed to the lower reactive power limit and the upper reactive power limit of the control generator, namely the secondary planning optimization model in the step (1)
Figure FDA0003223856840000063
And
Figure FDA0003223856840000064
(3-2) traversing the set Sc control bus Gbs of the automatic voltage control equipment of the power plant according to the GbsgjPlan curve Gbsg ofj-bscmObtaining the lower voltage limit of the control bus from the set of automatic voltage control equipment Sc of the power plant
Figure FDA0003223856840000065
And upper limit of voltage
Figure FDA0003223856840000066
And adding the control bus to the optimization model as the optimization model
Figure FDA0003223856840000067
Using the current voltage measurement of the control bus as V of the optimization modelH；
(4) Solving the optimization model generated in the step (3-2) by adopting a quadratic programming calculation method to obtain an adjustment quantity delta Q for controlling the reactive power output of the generatorgAnd the regulating quantity delta Q for controlling the reactive power output of the generatorgThe automatic voltage control substation of the power plant is issued by controlling the remote regulation of the generator, so as to realize automatic voltage control.
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