CN103248071A - Generator set low frequency oscillation monitoring method based on PMU measuring data - Google Patents

Generator set low frequency oscillation monitoring method based on PMU measuring data Download PDF

Info

Publication number
CN103248071A
CN103248071A CN2013101798442A CN201310179844A CN103248071A CN 103248071 A CN103248071 A CN 103248071A CN 2013101798442 A CN2013101798442 A CN 2013101798442A CN 201310179844 A CN201310179844 A CN 201310179844A CN 103248071 A CN103248071 A CN 103248071A
Authority
CN
China
Prior art keywords
data
pmu
oscillation
frequency oscillation
frequency
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN2013101798442A
Other languages
Chinese (zh)
Inventor
崔勇
郭强
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
State Grid Corp of China SGCC
Shanghai Municipal Electric Power Co
East China Power Test and Research Institute Co Ltd
Original Assignee
State Grid Corp of China SGCC
Shanghai Municipal Electric Power Co
East China Power Test and Research Institute Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by State Grid Corp of China SGCC, Shanghai Municipal Electric Power Co, East China Power Test and Research Institute Co Ltd filed Critical State Grid Corp of China SGCC
Priority to CN2013101798442A priority Critical patent/CN103248071A/en
Publication of CN103248071A publication Critical patent/CN103248071A/en
Pending legal-status Critical Current

Links

Landscapes

  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention relates to a generator set low frequency oscillation monitoring method based on PMU measuring data, comprising the following steps of 1) synchronously collecting the dynamic data of each generator by a synchronous phasor measuring unit PMU through the position information of each generator of an electric system provided by a GPS (Global Position System); 2) transmitting the collected data by the PMU to a master station in real time; 3) monitoring the running tendency of a generator set in a real-time updating curve mode by the master station, and if the running tendency has oscillation, automatically pushing the running tendency to an oscillation curve to store the data to a data base; and 4) carrying out low frequency oscillation Prony analysis on power angle data in the dynamic data collected by the PMU through the master station to obtain the amplitude, frequency and damping ratio information of an oscillation signal, and judging the low damping low frequency oscillation according to the oscillation characteristics to provide an important basis for power system stabilizer (PSS) damping compensation. Compared with the prior art, the method has the advantages that the influence of low frequency oscillation on the system can be effectively detected and the like.

Description

Generating set low-frequency oscillation monitoring method based on the PMU metric data
Technical field
The present invention relates to a kind of generating set low-frequency oscillation monitoring method, especially relate to a kind of generating set low-frequency oscillation monitoring method based on the PMU metric data.
Background technology
Waving relatively between generator amature can take place in generators in power systems under disturbance when the power transmission line paired running, and cause persistent oscillation when lacking damping.At this moment, electric power and merit angle vibrate between generator, and power also corresponding vibration can take place on the power transmission line, and when vibration was serious, system can not keep synchronous operation, stability disruption.Because other frequencies of oscillation are very low, are generally 0.2~2.5Hz, so be called low-frequency oscillation (being called power oscillation again, electromechanical oscillations).Low-frequency oscillation generally has two kinds of patterns: when interconnection is more weak, frequency of oscillation is lower, for example in 0.2~0.5Hz scope, be called the interregional oscillation mode of interconnected systems (interarea mode), the harmfulness of this vibration is bigger, it be an a part of group of planes with respect to the vibration of another part group of planes, propagate to total system by interconnection once the generation meeting; If the unit electrical distance is less, then frequency of oscillation is higher, for example more than the 1Hz, is called the oscillation mode (localmode or plant mode) between unit in this locality or the zone, and this vibration is confined in the zone, and is less with respect to the former coverage.
Low-frequency oscillation of electric power system all has generation at home and abroad, and this low-frequency oscillation or power oscillation often appear on long distance, the heavy load power transmission line, adopt modern fast, easier generation under the condition of high limited value multiple excitation system.At the power system development initial stage, the steady stability problem is usually expressed as non-same period of the step-out between generator and system.But along with the expansion of system, this shakiness is permanent to show as amplification type vibration between the generator (or electric power generator group), the interconnection of interconnected systems show particularly outstanding.
1969, the concept of utilization damping torques such as F.P.Demello has been carried out Analysis on Mechanism and explanation to the reason that one machine infinity bus system produces low-frequency oscillation, point out to produce in the electric power system low-frequency oscillation that continue or amplification, its basic reason is owing to produced effect of negative damping in the system, offset the intrinsic positive damping of system, made the total damping of system very little or be negative value.This makes people be greatly improved to the understanding of low-frequency oscillation, and later research work is carried out mostly on this basis, is exactly that one machine infinity bus system is in notional popularization basically as the Analysis on Mechanism for the multimachine system low-frequency oscillation.The vibration of a plurality of different frequencies can appear in a multimachine system, and the vibration of each frequency is called a low frequency oscillation mode, is also referred to as the electromechanical oscillations pattern.This oscillation mode is relevant with electromagnetic circuit with the generator amature motion, just because the inertia ratio of generating set is bigger, therefore shows as low frequency characteristic.It is generally acknowledged that in the system that a n platform generator is formed corresponding electromechanical oscillations pattern has n-1, but only be concerned about the pattern of negative damping and underdamping usually.F.P.Demell thinks that every unit or inertia group all can have leading role to one or more oscillation modes, the damping of certain unit, can produce leading influence to some specific oscillation mode, Here it is has " correlation properties " of material impact or claims " decoupling zero relation " afterwards research.
The low-frequency oscillation underdamping mechanism that Here it is is generally admitted at present, namely the effect of negative damping that system provides under some particular case has been offset the positive damping of aspects such as system motor, excitation winding and machinery, makes system's total damping very little or for negative.When system was disturbed under the negative damping operating mode, disturbance was exaggerated gradually, and then caused the low-frequency oscillation of power.The excitation system of heavy load circuit, modern quick-response excitation and high limited value multiple is to cause system the main cause of negative damping to occur.
Summary of the invention
Purpose of the present invention is exactly to provide a kind of generating set low-frequency oscillation monitoring method based on the PMU metric data for the defective that overcomes above-mentioned prior art existence.
Purpose of the present invention can be achieved through the following technical solutions:
A kind of generating set low-frequency oscillation monitoring method based on the PMU metric data is characterized in that this method comprises the steps:
(1) synchronous phasor measurement unit PMU utilizes the positional information of each generator of electric power system that gps system provides, and each generator dynamic data is gathered synchronously;
(2) PMU is sent to main website with the data in real time that collects;
(3) main website monitors the operation trend of generating set with the curve mode of real-time update, if vibration appears in above-mentioned operation trend, and propelling movement trend oscillating curve automatically, and data are saved to database;
(4) the merit angular data in main website the dynamic data that PMU is collected is carried out low-frequency oscillation Prony and is analyzed, draw amplitude, frequency and the damping ratio information of oscillator signal, and carry out the judgement of underdamping low-frequency oscillation according to these oscillation characteristicses, for power system stabilizer, PSS PSS damping compensation provides important basis.
Described dynamic data comprises merit angle, active power, reactive power, voltage and frequency.
Described operation trend comprises the performance graph of active power, reactive power, voltage and frequency.
Compared with prior art, the present invention has effective detection low-frequency oscillation to the influence of system, fail safe and the reliability of system have been improved, adopt the Prony algorithm that the merit angular data is analyzed simultaneously, therefrom analyze the information such as amplitude, phase place, damping factor, frequency of signal, and need not from frequency domain response to ask, amount of calculation greatly reduces.
Embodiment
The present invention is described in detail below in conjunction with specific embodiment.
A kind of generating set low-frequency oscillation monitoring method based on the PMU metric data, this method comprises the steps:
(1) synchronous phasor measurement unit PMU utilizes the positional information of each generator of electric power system that gps system provides, and each generator dynamic data is gathered synchronously;
(2) PMU is sent to main website with the data in real time that collects;
(3) main website monitors the operation trend of generating set with the curve mode of real-time update, if vibration appears in above-mentioned operation trend, and propelling movement trend oscillating curve automatically, and data are saved to database;
(4) the merit angular data in main website the dynamic data that PMU is collected is carried out low-frequency oscillation Prony and is analyzed, draw amplitude, frequency and the damping ratio information of oscillator signal, and carry out the judgement of underdamping low-frequency oscillation according to these oscillation characteristicses, for power system stabilizer, PSS PSS damping compensation provides important basis.
Described dynamic data comprises merit angle, active power, reactive power, voltage and frequency.
Described operation trend comprises the performance graph of active power, reactive power, voltage and frequency.
Described merit angular data method of measurement has: 1) indirect measurement method, 2) utilize the generator speed signal measurement.
Described indirect measurement method is terminal voltage and the end electric current of gathering generator in real time, relends the position that the model that helps generator calculates rotor.The described generator speed signal measurement that utilizes refers to utilize tachometer to measure the merit angle in real time.
Described Prony method is that the linear combination with a class index item comes match equal interval sampling data.Described exponential term comprises amplitude and two parts of exponential factor.Detailed process is: at first utilize and go direct current and low pass filter that original data sequence is carried out preliminary treatment, described low pass filter can be selected suitable filters according to the performance index that provide in advance, utilizes resampling then and selects sequence length further to reduce the influence of noise.

Claims (3)

1. the generating set low-frequency oscillation monitoring method based on the PMU metric data is characterized in that this method comprises the steps:
(1) synchronous phasor measurement unit PMU utilizes the positional information of each generator of electric power system that gps system provides, and each generator dynamic data is gathered synchronously;
(2) PMU is sent to main website with the data in real time that collects;
(3) main website monitors the operation trend of generating set with the curve mode of real-time update, if vibration appears in above-mentioned operation trend, and propelling movement trend oscillating curve automatically, and data are saved to database;
(4) the merit angular data in main website the dynamic data that PMU is collected is carried out low-frequency oscillation Prony and is analyzed, draw amplitude, frequency and the damping ratio information of oscillator signal, and carry out the judgement of underdamping low-frequency oscillation according to these oscillation characteristicses, for power system stabilizer, PSS PSS damping compensation provides important basis.
2. a kind of generating set low-frequency oscillation monitoring method based on the PMU metric data according to claim 1 is characterized in that described dynamic data comprises merit angle, active power, reactive power, voltage and frequency.
3. a kind of generating set low-frequency oscillation monitoring method based on the PMU metric data according to claim 2 is characterized in that described operation trend comprises the performance graph of active power, reactive power, voltage and frequency.
CN2013101798442A 2013-05-15 2013-05-15 Generator set low frequency oscillation monitoring method based on PMU measuring data Pending CN103248071A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN2013101798442A CN103248071A (en) 2013-05-15 2013-05-15 Generator set low frequency oscillation monitoring method based on PMU measuring data

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN2013101798442A CN103248071A (en) 2013-05-15 2013-05-15 Generator set low frequency oscillation monitoring method based on PMU measuring data

Publications (1)

Publication Number Publication Date
CN103248071A true CN103248071A (en) 2013-08-14

Family

ID=48927378

Family Applications (1)

Application Number Title Priority Date Filing Date
CN2013101798442A Pending CN103248071A (en) 2013-05-15 2013-05-15 Generator set low frequency oscillation monitoring method based on PMU measuring data

Country Status (1)

Country Link
CN (1) CN103248071A (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104833878A (en) * 2015-04-30 2015-08-12 国电南瑞科技股份有限公司 Electric power system power oscillation judgment method based on synchronized phasor measurement unit
CN104865497A (en) * 2015-04-30 2015-08-26 国电南瑞科技股份有限公司 Low-frequency oscillation on-site online identification method based on extended Prony algorithm
CN106443246A (en) * 2016-09-06 2017-02-22 山东大学 Online identification method of small-disturbance stability parameters based on PMU measurement data
CN110661261A (en) * 2019-10-09 2020-01-07 国家电网公司西北分部 PMU data processing method and device for low-frequency oscillation online analysis

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101655530A (en) * 2009-09-11 2010-02-24 河北省电力研究院 Method for judging low-frequency oscillation of power grid based on PSS output mutation
CN101692116A (en) * 2008-12-26 2010-04-07 四川省电力公司 Visual monitoring of low-frequency oscillation of critical circuits
WO2012055322A1 (en) * 2010-10-26 2012-05-03 国家电网公司 Method, apparatus and system for suppressing low frequency oscillation in power system
CN102944798A (en) * 2012-11-29 2013-02-27 武汉华中电力电网技术有限公司 Negative-damping low-frequency oscillation and forced power oscillation distinguishing method

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101692116A (en) * 2008-12-26 2010-04-07 四川省电力公司 Visual monitoring of low-frequency oscillation of critical circuits
CN101655530A (en) * 2009-09-11 2010-02-24 河北省电力研究院 Method for judging low-frequency oscillation of power grid based on PSS output mutation
WO2012055322A1 (en) * 2010-10-26 2012-05-03 国家电网公司 Method, apparatus and system for suppressing low frequency oscillation in power system
CN102944798A (en) * 2012-11-29 2013-02-27 武汉华中电力电网技术有限公司 Negative-damping low-frequency oscillation and forced power oscillation distinguishing method

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
熊俊杰: "基于PMU的低频振荡Prony分析和本地在线监测系统", 《中国优秀硕士学位论文全文数据库工程科技Ⅱ辑》, no. 04, 15 April 2007 (2007-04-15), pages 43 - 49 *

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104833878A (en) * 2015-04-30 2015-08-12 国电南瑞科技股份有限公司 Electric power system power oscillation judgment method based on synchronized phasor measurement unit
CN104865497A (en) * 2015-04-30 2015-08-26 国电南瑞科技股份有限公司 Low-frequency oscillation on-site online identification method based on extended Prony algorithm
CN104833878B (en) * 2015-04-30 2017-12-01 国电南瑞科技股份有限公司 Power oscillation of power system determination methods based on synchronous phasor measuring device
CN106443246A (en) * 2016-09-06 2017-02-22 山东大学 Online identification method of small-disturbance stability parameters based on PMU measurement data
CN106443246B (en) * 2016-09-06 2019-03-22 山东大学 The on-line identification method of small interference stability parameter based on PMU metric data
CN110661261A (en) * 2019-10-09 2020-01-07 国家电网公司西北分部 PMU data processing method and device for low-frequency oscillation online analysis
CN110661261B (en) * 2019-10-09 2021-05-28 国家电网公司西北分部 PMU data processing method and device for low-frequency oscillation online analysis

Similar Documents

Publication Publication Date Title
CN105606895B (en) The on-line checking and filtering method of subsynchronous oscillation of electrical power system composition
Mai et al. A dynamic synchrophasor estimation algorithm for online application
CN102636728B (en) Based on the method for force moment decomposition identification negative damping low-frequency oscillation
CN105552881B (en) A kind of AC system multi-frequency oscillation based on wide area measurement information is combined Out-of-Step Splitting Systems criterion method
CN101685966B (en) Method for comprehensively analyzing low-frequency oscillation and system thereof
CN102360054B (en) Diagnostic method for estimating turn-to-turn short circuit fault degree of large generator exciting windings
CN103248071A (en) Generator set low frequency oscillation monitoring method based on PMU measuring data
CN102778346B (en) Method and device for online judging rigid disconnection point and rigid connection point of breaker
CN102170126B (en) Online analysis and early warning method for low-frequency oscillation of electric power system
CN103076168B (en) Diagnosis method for mechanical faults of circuit breaker
CN102170127B (en) Method for locating prime motor disturbance source triggering forced power oscillation
CN102944798A (en) Negative-damping low-frequency oscillation and forced power oscillation distinguishing method
Wang et al. Real-time subsynchronous control interaction monitoring using improved intrinsic time-scale decomposition
CN103036498A (en) Synchronous generator practical model parameter examination and identification method based on parameter measure unit (PMU)
CN102624012B (en) Method for distinguishing negative damping low frequency oscillation on the basis of moment decomposition integral algorithm
CN101694508A (en) Motor rotor classical failure diagnosis method based on low subharmonic shaft voltage signals
Ma et al. Subsynchronous oscillation analysis using multisynchrosqueezing transform and dissipating energy flow method
Mehrjou et al. Analysis of statistical features based on start-up current envelope for broken rotor bar fault detection in line start permanent magnet synchronous motor
CN103913632A (en) Low-frequency synchronous oscillation source identification method based on oscillation component power direction
Wang et al. A study on fluctuations in electromechanical oscillation frequencies of power systems
CN101656421B (en) Simulation method of electricity grid oscillating signal
CN107733313A (en) Rotating machinery resonance Adaptive Suppression method
CN114825372B (en) Method for rapidly and accurately extracting subsynchronous/supersynchronous oscillation signals
CN104134993A (en) Monitoring method and system of power system oscillation under time lag and loss of wide area measurement data
Zhiyang et al. Analysis of Power System Low Frequency Oscillation Using Improved Prony Algorithm

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C12 Rejection of a patent application after its publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20130814