CN112327047B - Method for realizing power same-section data measurement in transformer substation - Google Patents

Method for realizing power same-section data measurement in transformer substation Download PDF

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CN112327047B
CN112327047B CN201911231261.3A CN201911231261A CN112327047B CN 112327047 B CN112327047 B CN 112327047B CN 201911231261 A CN201911231261 A CN 201911231261A CN 112327047 B CN112327047 B CN 112327047B
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power
data
active
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reactive power
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CN112327047A (en
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刘美杰
刘云松
王强
王顺江
邱鹏
魏凯
赵琰
王东来
葛维春
刘前卫
常乃超
葛延峰
刘金波
王永福
胡博
王爱华
于鹏
王荣茂
苏安龙
周桂平
金鹏
丛培贤
吕旭明
姜河
曹瀚文
王浩
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Jinzhou Electric Power Supply Co Of State Grid Liaoning Electric Power Supply Co ltd
State Grid Corp of China SGCC
State Grid Liaoning Electric Power Co Ltd
Shenyang Institute of Engineering
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Jinzhou Electric Power Supply Co Of State Grid Liaoning Electric Power Supply Co ltd
State Grid Corp of China SGCC
State Grid Liaoning Electric Power Co Ltd
Shenyang Institute of Engineering
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R21/00Arrangements for measuring electric power or power factor
    • G01R21/06Arrangements for measuring electric power or power factor by measuring current and voltage
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R21/00Arrangements for measuring electric power or power factor
    • G01R21/001Measuring real or reactive component; Measuring apparent energy
    • G01R21/002Measuring real component
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R21/00Arrangements for measuring electric power or power factor
    • G01R21/001Measuring real or reactive component; Measuring apparent energy
    • G01R21/003Measuring reactive component

Abstract

A method for realizing power co-section data measurement in a transformer substation is characterized in that all power nodes are subjected to simultaneous interval time point data acquisition, and a data fitting technology is applied to construct a numerical curve of all the power nodes, so that the time co-section measurement of the power data is realized. The method comprises the following steps: acquiring power data of a power node of an in-station bus, determining a power change range, determining a maximum value and a minimum value of power according to historical normal data and a load change curve, processing error data, and calculating active reactive power; further determining the error of the acquired data according to the active and reactive power balance; fitting the calculated active power and reactive power; selecting time and section to collect data, and selecting section t for curve 0 And forming a through section at an interval of delta t, and collecting data.

Description

Method for realizing power same-section data measurement in transformer substation
Technical Field
The invention relates to the fields of power system operation, power system stability analysis and data acquisition and processing, in particular to a method for realizing power same-section data measurement in a transformer substation.
Background
The power system is a time-dependent system, and is based on the waveform of a time axis no matter the voltage, the current, the phase angle and the power angle change. In recent years, supercritical and ultra-supercritical units are successively connected to the grid for operation, large-area power grids are interconnected, and an ultra-high voltage transmission technology is developed. The safe and stable operation of the power grid provides new requirements for power automation equipment, particularly for time synchronization and the requirement of operation of a relay protection device, an automation device, a safety and stability control system, an Energy Management System (EMS), a production information management system and the like based on a unified time reference so as to meet the requirements of event sequence recording (SOE), fault recording and real-time data acquisition time consistency, ensure the accuracy of line fault location, phasor and power angle dynamic monitoring, unit and power grid parameter verification and the level of power grid accident analysis and stability control, and improve the operation efficiency and reliability. The popularization and application of the digital power technology in the future have higher requirements on time synchronization.
At present, only the clock synchronization between stations and between each device in the stations is technically researched, and the conventional time synchronization technology mainly comprises the following 5 schemes of realizing the satellite time synchronization scheme (1) and receiving the standard time output by a Global Positioning System (GPS) or a Beidou system as the system time; (2) The wired transmission time synchronization scheme adopts the time coding IRIGB or utilizes serial port transmission and the like to realize the precise synchronization of time in short distance; (3) Network Time Protocol (NTP) or Simple Network Time Protocol (SNTP), where NTP or SNTP is a scheme for performing high-precision time synchronization using ethernet packets; (4) A precision clock time synchronization (PTP) protocol is a scheme for improving the time transmission precision by adding time information in a physical layer protocol of a network; (5) The time synchronization scheme based on SDH uses SDH as a transmission medium and adopts a bidirectional time synchronization protocol to carry out time calibration so as to realize accurate time synchronization. The method cannot ensure that the collection of the numerical values of all the power nodes on the bus is realized at the same time point during the power measurement in the transformer substation.
Disclosure of Invention
The invention provides a method for realizing power co-section data measurement in a transformer substation, which is characterized in that time interval time point data collection is carried out on all power nodes at the same time, and a numerical curve of all the power nodes is constructed by using a data fitting technology, so that time co-section measurement is carried out on the power data.
The technical scheme of the invention is as follows:
a method for realizing power same-section data measurement in a transformer substation comprises the following steps:
step 1: acquiring power node power data of a bus in a station, wherein the data of each node are not measured at the same time, acquiring all day data of all power nodes on the bus through a power meter and recording the corresponding time of the data, the voltage corresponding to different nodes in sequence and the current corresponding to the different nodes are
V i ,i=(1,2,…,N)
I j ,j=(1,2,…,N)
And 2, step: determining a power variation range;
step 2.1: determining the maximum value and the minimum value of power according to historical normal data and a load change curve:
and determining the maximum value and the minimum value of the voltage and the current of each node according to the load change curve and historical data of each power node under the normal condition.
Step 2.2: and (3) processing error data:
the line voltage and current magnitudes must not exceed certain limits, i.e.
U imin ≤U i ≤U imax
I jmin ≤I j ≤I jmax
When the measured data is not in the interval, the data has errors, if the single point or two points exceed the normal range, the fault of the measuring equipment is presumed, and the error data is deleted; if the multiple points exceed the normal range, supposing that the line may have an accident, and starting wave recording;
step 2.3: calculating active and reactive power:
and calculating the active and reactive power of each point according to the voltage and current collected by each point:
Figure RE-GDA0002479290700000021
Figure RE-GDA0002479290700000022
in the formula, P is active power, Q is reactive power, U is voltage, I is current,
Figure RE-GDA0002479290700000023
-the phase difference of the voltage and the current;
and step 3: and further determining the error of the acquired data according to the active and reactive power balance, wherein the active power balance and the reactive power balance are as follows:
∑P G =∑P L =∑P D +∑P S +∑P C
Q GC =Q G∑ +Q C∑
in the formula, sigma P G Active power, SIG P, from the power plant L The total load of the system, SIG P D -active load of user, ∑ P S -factory active load of power plant, ∑ P C Active loss of the network, Q GC Reactive power, Q, from a reactive power source G∑ Reactive power required by the load, Q C∑ -reactive losses in the network;
satisfying the following formula indicates that the power balance is such that the calculated data is error free:
Figure RE-GDA0002479290700000031
in the formula, P j The power, P, corresponding to the nodes in turn j ' -the nodes correspond to the rated power in turn;
and 4, step 4: fitting the calculated active power and reactive power according to the following method, and setting S 1 ={O i =(x i ,y i ) I =1, \8230Nis the data set of the first power node on the plane. To a point O 0 Local regression line L 0 Y = ax + b, obtained by minimizing the following quadratic function:
Figure RE-GDA0002479290700000032
wherein w i Is point O i The non-negative weight of (1); by weighted regression as described above, P can be calculated * Is preferably a regression line L * (ii) a All data points are transformed by the transformation M to the origin O 0 X axis and L 0 In a parallel new coordinate system;
Figure RE-GDA0002479290700000033
second order regression of G * :
Figure RE-GDA0002479290700000034
Obtained by minimizing the following function:
Figure RE-GDA0002479290700000035
it is noted that
Figure RE-GDA0002479290700000036
To G * The mapping of (c) is (0, c); finally, O * Moving to point (0, c) transformed M -1 The new position obtained; the regression operation is performed on each data point of the first power node, and each remaining node is fitted in the manner described above.
And 5: selecting time and section to collect data:
selecting section t for curve 0 And forming a through section at an interval of delta t, and collecting data.
By utilizing a curve fitting technology and power balance of a power grid, the fault of the bus can be judged according to data, and the error range of the data can be estimated. The method comprises the steps of firstly, recording all-day data of each power node and time corresponding to the data, determining a power change range for each node according to historical data under normal conditions, setting the direction of inflow and outflow of the power nodes, judging data errors according to power balance of a power system and rated power of the nodes, changing the data of each node into a curve on a two-dimensional plane by curve fitting, and setting time intervals to realize same-section measurement on the power data of each node visually. The invention has the beneficial effects that: the active and reactive power is calculated by using the collected data, the error range is determined, the same data at different moments are determined by curve fitting of the optimal mathematical curve, the same-section data collection of the data is realized, the generated same-section data is visual, and the error is small.
Drawings
Fig. 1 is a graph of power load variation in an electric power system.
Fig. 2 is a flow chart of error data processing.
Detailed Description
The following further describes the embodiments of the present invention with reference to the drawings.
The method for realizing the power same-section data measurement in the transformer substation comprises the following steps:
step 1: collecting voltage and current data of power nodes of a bus in a station, wherein the data of each node are not measured at the same time, performing data acquisition on all the power nodes on the bus all day by a power meter and recording the corresponding time of the data, the voltage corresponding to different nodes in sequence and the current are
V i ,i=(1,2,…,N)
I j ,j=(1,2,…,N)
And 2, step: determining a power variation range:
step 2.1: determining the maximum value and the minimum value according to historical normal data and a load change curve:
and determining the maximum value and the minimum value of the voltage and the current of each node according to the load change curve and historical data of each power node under the normal condition.
Step 2.2: and (3) processing error data:
the line voltage and current magnitudes must not exceed certain ranges, i.e.
U imin ≤U i ≤U imax
I jmin ≤I j ≤I jmax
When the measured data is not in the interval, the data has errors, if the single point or two points exceed the normal range, the fault of the measuring equipment is presumed, and the error data is deleted; if the multiple points exceed the normal range, the accident of the line is presumed to occur, and the recording record is started.
Step 2.3: calculating active and reactive power:
calculating active and reactive power according to the collected voltage and current:
Figure RE-GDA0002479290700000051
Figure RE-GDA0002479290700000052
in the formula, P is active power, Q is reactive power, U is voltage, I is current,
Figure RE-GDA0002479290700000053
-the phase difference of the voltage and the current.
And step 3: and further determining the error of the calculated data according to the active and reactive power balance, wherein the active power balance and the reactive power balance are as follows:
∑P G =∑P L =∑P D +∑P S +∑P C
Q GC =Q G∑ +Q C∑
in the formula, sigma P G Active power, SIG P, from the power plant L The total load of the system, Σ P D Subscriber's active load, SIG P S -plant utility active load, Σ P, of a power plant C Active loss of the network, Q GC Reactive power, Q, from a reactive power source Reactive power required by the load, Q Reactive losses in the network
Satisfying the following formula indicates that the power balance, i.e. the measured values are not erroneous:
Figure RE-GDA0002479290700000054
in the formula, P j The nodes in turn corresponding to a power, P j ' -rated power corresponding to node in turn
And 4, step 4: will countThe calculated active and reactive power data are processed by fitting according to the following method, and S is set 1 ={O i =(x i ,y i ) I =1, \ 8230;, N } is the data set of the first power node on the plane. For a point O 0 Local regression line L 0 Y = ax + b, obtained by minimizing the following quadratic function:
Figure RE-GDA0002479290700000055
wherein w i Is a point O i Is not a negative weight. By the weighted regression described above, P can be calculated * Is preferably a regression line L * . All data points are transformed by the transformation M to the origin O 0 X axis and L 0 In a parallel new coordinate system.
Figure RE-GDA0002479290700000061
Second regression of G * :
Figure RE-GDA0002479290700000062
Obtained by minimizing the following function:
Figure RE-GDA0002479290700000063
it is noted that
Figure RE-GDA0002479290700000064
To G * The mapping of (c) is (0, c). Finally, O * Moving to point (0, c) transformed M -1 The new position obtained. And performing the regression operation on each data point of the first power node, and performing the fitting processing on each remaining node according to the mode.
And 5: selecting time and section to collect data, changing the power values of all nodes into corresponding curves, and selecting section t for the curves 0 And forming a through section at an interval delta t, and collecting data.
The method of the invention is described by taking data of any two points on a 110KV substation bus within one hour as an example:
and a node A:
Figure RE-GDA0002479290700000065
and the node B:
Figure RE-GDA0002479290700000066
taking active power as an example, fig. 1 is an image of two nodes without adopting the method, and fig. 2 is an image obtained by performing curve fitting by adopting the method, it can be clearly seen that, after adopting the method, in a time interval without data in fig. 1, data in the time interval can also be collected through a curve obtained by time fitting in fig. 2, so as to form data acquisition on the same section.
The above description is only exemplary of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (1)

1. A method for realizing power same-section data measurement in a transformer substation is characterized by comprising the following steps:
step 1: acquiring power data of power nodes of buses in a station, wherein the data of each node are not measured at the same time, acquiring all day data of all the power nodes on the buses through a power meter and recording the corresponding time of the data, the voltage corresponding to different nodes in sequence and the current are
V i ,i=(1,2,…,N)
I j ,j=(1,2,…,N)
And 2, step: determining a power variation range;
step 2.1: determining the maximum value and the minimum value of power according to historical normal data and a load change curve:
determining the maximum value and the minimum value of the voltage and the current of each node according to the load variation curve and historical data of each power node under the normal condition;
step 2.2: and (3) processing error data:
the line voltage and current magnitudes must not exceed certain ranges, i.e.
U imin ≤U i ≤U imax
I jmin ≤I j ≤I jmax
When the measured data is not in the interval, the data has errors, if the single point or two points exceed the normal range, the fault of the measuring equipment is presumed, and the error data is deleted; if the multiple points exceed the normal range, supposing that the line has an accident, and starting wave recording;
step 2.3: calculating active and reactive power:
and calculating the active and reactive power of each point according to the voltage and current collected by each point:
Figure FDA0003859194270000011
Figure FDA0003859194270000012
in the formula, P is active power, Q is reactive power, U is voltage, I is current,
Figure FDA0003859194270000013
-the phase difference of the voltage and the current;
and 3, step 3: and further determining the error of the acquired data according to the active and reactive power balance, wherein the active power balance and the reactive power balance are as follows:
∑P G =∑P L =∑P D +∑P S +∑P C
Q GC =Q G∑ +Q C∑
in the formula, sigma P G Active power, sigma P, from the power plant L The total load of the system, sigma P D -active load of user, ∑ P S -factory active load of power plant, ∑ P C -active loss of network, Q GC Reactive power, Q, from a reactive power source G∑ Reactive power required by the load, Q C∑ -reactive losses in the network;
satisfying the following formula indicates that the power balance is such that the calculated data is error free:
Figure FDA0003859194270000021
in the formula, P j -power, P ', which nodes correspond in turn' j -the nodes in turn correspond to a nominal power;
and 4, step 4: fitting the calculated active power and reactive power according to the following method, and setting S 1 ={O i =(x i ,y i ) I =1, \8230Nis the data set of the first power node on the plane. To a point O 0 Local regression line L 0 Y = ax + b, obtained by minimizing the following quadratic function:
Figure FDA0003859194270000022
wherein w i Is point O i The non-negative weight of (1); by weighted regression, P can be calculated * Is preferably a regression line L * (ii) a All data points are transformed by the transformation M to the origin O 0 X axis and L 0 In a parallel new coordinate system;
Figure FDA0003859194270000023
second order regression of G * :
Figure FDA0003859194270000024
This is obtained by minimizing the following function:
Figure FDA0003859194270000025
it is noted that
Figure FDA0003859194270000026
To G * The mapping of (a) is (0, c); finally, O * Moving to point (0, c) transformed M -1 The new position obtained; performing the regression operation on each data point of the first power node, and performing fitting processing on each remaining node according to the mode;
and 5: selecting time and section to collect data:
selecting section t for curve 0 And forming a through section at an interval delta t, and collecting data.
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