CN117394311B - Power distribution network toughness assessment and emergency control method based on multi-source information fusion - Google Patents
Power distribution network toughness assessment and emergency control method based on multi-source information fusion Download PDFInfo
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Abstract
The invention provides a toughness assessment and emergency control method of a power distribution network based on multi-source information fusion, which belongs to the technical field of toughness assessment of power distribution networks, and comprises the steps of selecting one section of a power distribution network line as two ends of the power distribution network section to be tested, and arranging two FTUs; acquiring a current signal and a voltage signal acquired by an FTU; a wind speed sensor and a line impedance sensor are arranged between the power distribution network sections to be tested; performing multi-component mixed decomposition calculation on the sum voltage signals to obtain two groups of fundamental wave and harmonic wave signals; calculating a voltage stability coefficient matrix, an anti-interference factor and a power distribution network toughness evaluation coefficient; and judging the fault risk according to the toughness evaluation coefficient and the anti-interference factor of the power distribution network, and discharging the fault risk output to realize emergency control of the fault risk of the power distribution network. The method solves the technical problems that the physical quantity adopted by the existing power distribution network toughness assessment method is single, and the toughness state of the power distribution network cannot be assessed rapidly in a short time.
Description
Technical Field
The invention belongs to the technical field of toughness assessment of a power distribution network, and particularly relates to a method for toughness assessment and emergency control of the power distribution network based on multi-source information fusion.
Background
With the rapid development of economy in China, stable and reliable electric energy supply is continuously pursued for power supply of a power distribution network, sensitive loads in the power distribution network are gradually increased, and great economic losses are caused by other faults such as voltage sag and short circuit caused by natural environment and the inside of a power system, so that the toughness evaluation of the power distribution network is beneficial to improving the running stability of the power distribution network and timely finding and overhauling of the power distribution network faults. However, the existing toughness evaluation method for the power distribution network adopts single physical quantity, and cannot evaluate the toughness state of the power distribution network rapidly in a short time, so that reliability and rapidity of toughness evaluation of the power distribution network are greatly limited.
Disclosure of Invention
In view of the above, the invention provides a method for evaluating toughness and controlling emergency of a power distribution network based on multi-source information fusion, which can solve the technical problems that the existing method for evaluating toughness of the power distribution network adopts single physical quantity and cannot evaluate the toughness state of the power distribution network rapidly in a short time.
The invention is realized in the following way:
The invention provides a power distribution network toughness assessment and emergency control method based on multi-source information fusion, which comprises the following steps:
S10, selecting a section of a power distribution network line as a power distribution network section to be tested, and arranging two FTUs at two ends of the power distribution network section to be tested, wherein the FTUs are feeder terminal units;
s20, acquiring two groups of current signals and voltage signals acquired by the two set FTUs;
s30, installing a wind speed sensor and a line impedance sensor between the power distribution network sections to be tested;
S40, acquiring a change curve of the wind speed obtained by the wind speed sensor along with time as a first curve and a change curve of the impedance value measured by the line impedance sensor along with time as a second curve, wherein the acquisition period of the first curve and the second curve is 24 hours;
S50, performing multi-component mixed decomposition calculation on the voltage signals acquired by the two FTUs to obtain two groups of fundamental wave and harmonic wave signals;
s60, calculating a voltage stability coefficient matrix and an anti-interference factor by using the obtained two groups of fundamental wave and harmonic wave signals;
S70, calculating a toughness evaluation coefficient of the power distribution network by using the voltage stability coefficient matrix, the first curve and the second curve;
and S80, judging the fault risk according to the calculated toughness evaluation coefficient and the anti-interference factor of the power distribution network, and outputting the fault risk to staff for discharging to realize emergency control of the fault risk of the power distribution network.
Based on the technical scheme, the toughness evaluation and emergency control method of the power distribution network based on multi-source information fusion can be improved as follows:
preferably, the wind speed sensor and the line impedance sensor are both arranged at the middle position of the power distribution network section to be tested.
The formula for performing multi-component mixed decomposition calculation on the voltage signals acquired by the two FTUs is as follows:
Wherein g (x) is a voltage signal of the power distribution network, the voltage signal comprises a current signal U1 measured by a first FTU and a current signal U2 measured by a second FTU, g 1(x)、g2(x)、…、gn (x) is a fundamental wave and a harmonic wave signal of the power distribution network, subscripts 1, 2, … and n in g 1(x)、g2(x)、…、gn (x) represent harmonic wave times, and x represents a dependent variable of the signal g (x), wherein the fundamental wave and the harmonic wave signals are obtained through an electric energy quality analyzer of the power distribution network;
the voltage signal U 1、U2 is subjected to multi-source mixed decomposition calculation respectively through the above method to obtain two groups of fundamental wave and harmonic wave signals U 11、U12、…、U1n and U 21、U22、…、U2n.
The calculation formula of the voltage stability coefficient matrix is as follows:
in the formula, U N represents the rated voltage of the power distribution network section to be tested, t 0 is the maximum load moment in the daily load curve of the power distribution network, and j=1, 2.
Further, the calculation formula of the toughness evaluation coefficient of the power distribution network is as follows:
Wherein G a represents the toughness evaluation coefficient t 0 of the power distribution network as the maximum load moment in the daily load curve, t 1 is the peak moment of the current signal I 1, t 2 is the peak moment of the current signal I 2, t F is the maximum wind speed moment, V (t) is the time-dependent change curve of the wind speed measured by the wind speed sensor, V max is the maximum wind speed, X 1、X2 is the voltage stability coefficient matrix obtained by monitoring the first and second FTUs, respectively, Z (t) is the time-dependent change curve of the impedance value measured by the line impedance device, and Z max is the maximum impedance value of the power distribution network monitored by the line impedance sensor in a 24-hour period.
The distribution network toughness represented by the value range of the distribution network evaluation coefficient is as follows: if Ga is less than or equal to 0.21, the toughness of the power distribution network is good; ga is more than 0.21 and less than or equal to 0.75, the toughness of the power distribution network is general, and the suspected fault risk or the anti-interference capability of the power distribution network is general; ga >0.75, the toughness of the distribution network is poor.
The anti-interference factor calculation formula is as follows:
Wherein eta is an anti-interference factor.
The fault risk judging method comprises the following steps: if eta is less than or equal to Ga, indicating that the toughness of the power distribution network is general and the fault risk exists, sending out a warning through the FTU, and informing a worker of removing the fault risk; if eta > Ga, the toughness of the power distribution network is poor, the action of the isolating switch is controlled through the FTU, the line of the power distribution network section to be tested is cut off, and a warning is sent out to inform staff of eliminating the fault risk.
Compared with the prior art, the power distribution network toughness assessment and emergency control method based on multi-source information fusion has the beneficial effects that: by setting two FTUs, the voltage and the current of the power distribution network section to be tested are collected in real time, the change curve of the wind speed along with the time and the change curve of the resistance along with the time are collected by utilizing the wind speed sensor and the line impedance sensor in a trial test mode, a voltage stability coefficient matrix and an anti-interference factor are calculated according to the collected data, and the calculation result is utilized for carrying out the toughness assessment and the risk analysis of the power distribution network, so that the technical problems that the physical quantity adopted by the conventional toughness assessment method of the power distribution network is single, and the toughness state of the power distribution network cannot be rapidly assessed in a short time are effectively solved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the description of the embodiments of the present invention will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a power distribution network toughness evaluation and emergency control method based on multi-source information fusion.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.
As shown in fig. 1, the present invention provides a flow chart of a toughness evaluation and emergency control method for a power distribution network based on multi-source information fusion, and the method includes the following steps:
S10, selecting one section of a power distribution network line as a power distribution network section to be tested, and arranging two FTUs at two ends of the power distribution network section to be tested, wherein the FTUs are feeder terminal units;
s20, acquiring two groups of current signals and voltage signals acquired by the two set FTUs;
s30, installing a wind speed sensor and a line impedance sensor between the power distribution network sections to be tested;
S40, acquiring a change curve of the wind speed obtained by the wind speed sensor along with time as a first curve and a change curve of the impedance value measured by the line impedance sensor along with time as a second curve, wherein the acquisition period of the first curve and the second curve is 24 hours;
S50, performing multi-component mixed decomposition calculation on the voltage signals acquired by the two FTUs to obtain two groups of fundamental wave and harmonic wave signals;
s60, calculating a voltage stability coefficient matrix and an anti-interference factor by using the obtained two groups of fundamental wave and harmonic wave signals;
S70, calculating a toughness evaluation coefficient of the power distribution network by using the voltage stability coefficient matrix, the first curve and the second curve;
and S80, judging the fault risk according to the calculated toughness evaluation coefficient and the anti-interference factor of the power distribution network, and outputting the fault risk to staff for discharging to realize emergency control of the fault risk of the power distribution network.
FTU (FEEDER TERMINAL Unit), namely feeder terminal Unit, is an important device in distribution automation system, it is usually installed at the feeder terminal of the distribution network, have centralized control feeder switch, monitor feeder parameter, realize the function of distribution network automation, etc.;
the main functions of the FTU include:
1. Remotely monitoring parameters such as feeder current, voltage, power and the like, and communicating with a main station in real time;
2. the on-off operation of the feeder switch is controlled, so that the remote control of the feeder is realized;
3. automatic reclosing, self-recovery and other automatic functions of the feeder line are realized;
4. Judging faults on the feeder line, and supporting feeder line protection;
5. communication with other intelligent terminals is supported, and a distribution network automation system is constructed;
6. providing feeder load monitoring, electric energy metering and other functions;
7. supporting remote parameter setting of field devices;
8. Integrating with GIS, DMS and other systems, supporting advanced functions such as network analysis and state monitoring;
The FTU generally comprises a power supply, a CPU, a communication interface, a switch controller, an electric quantity acquisition terminal, lighting lightning protection and other components, and can realize centralized monitoring, automatic control and protection of a feeder line by adopting microcomputer control. The method is key equipment for realizing unattended operation of the power distribution network;
Preferably, the wind speed sensor and the line impedance sensor are both arranged at the middle position of the power distribution network section to be tested.
Multisource mixed decomposition calculation (Multi-source hybrid decomposition computation) mainly refers to a method for analyzing and calculating multisource mixed waveforms generated by various distributed power supplies after the distributed power supplies of different types are connected into a power distribution network;
the multi-source mixed decomposition calculation mainly comprises the following aspects:
1. The mixed waveform acqisition is used for collecting complex mixed waveforms formed by multiple sources in the power distribution network;
2. waveform preprocessing, namely removing abnormal signals such as noise, interference and the like in the acquired waveform;
3. extracting basic characteristic parameters of the mixed waveform, such as frequency, amplitude, phase and the like;
4. Source component decomposition-the mixed waveform is separated into a plurality of source component waveforms using a signal decomposition algorithm. The common algorithms have finite impulse response decomposition, singular value decomposition and the like;
5. calculating source parameters, namely calculating parameters of each power supply component to obtain parameters such as active power, reactive power, harmonic waves and the like;
7. And (3) analyzing and optimizing results, namely analyzing calculation results, and carrying out parameter optimization and model correction.
Multisource hybrid decomposition computing is one of the key technologies for implementing multisource monitoring and management of power distribution networks.
In the specific embodiment of the invention, the formula for performing multi-component mixed decomposition calculation on the voltage signals acquired by the two FTUs is as follows:
Wherein g (x) is a voltage signal of the power distribution network, the current signal U 1 measured by the first FTU and the current signal U 2,g1(x)、g2(x)、…、gn (x) measured by the second FTU are fundamental wave and harmonic wave signals of the power distribution network, subscripts 1, 2, … and n in g 1(x)、g2(x)、…、gn (x) represent harmonic wave times, and x represents a dependent variable of the signal g (x), wherein the fundamental wave and the harmonic wave signals are obtained through an electric energy quality analyzer of the power distribution network;
the voltage signal U 1、U2 is subjected to multi-source mixed decomposition calculation respectively through the above method to obtain two groups of fundamental wave and harmonic wave signals U 11、U12、…、U1n and U 21、U22、…、U2n.
The general voltage stability coefficient matrix (Voltage Stability Coefficient Matrix) is an important matrix for researching the voltage stability problem of the power system;
The method comprises the steps of establishing a linear relation model between node voltage and node injection power through a circuit voltage and current state equation, and reflecting sensitivity information between the voltage and the power;
The voltage stability coefficient matrix is mainly characterized in that:
1. Describing the sensitivity of node voltage to node injection active and reactive power changes;
2. the larger the element value in the matrix, the more sensitive the voltage of the node to the corresponding variable;
3. the voltage stability condition of the system can be judged according to the voltage stability coefficient matrix;
4. the method can be used for guiding the implementation of voltage stabilization control and determining key nodes;
5. the method can be used for voltage stability analysis, voltage breakdown point judgment and voltage breakdown prevention control;
6. The method can also be converted into a rapid voltage stability index for online analysis;
in a specific embodiment of the present invention, a simpler compression stability coefficient matrix may be used, and its calculation formula is as follows:
Wherein U N represents rated voltage of a power distribution network section to be tested, t 0 is maximum moment of load in a daily load curve of the power distribution network, and j=1, 2, wherein the daily load curve of the power distribution network is obtained from a power distribution network operation system.
The calculation formula of the toughness evaluation coefficient of the power distribution network is as follows:
Wherein G a represents the toughness evaluation coefficient t 0 of the power distribution network as the maximum load moment in the daily load curve, t 1 is the peak moment of the current signal I 1, t 2 is the peak moment of the current signal I 2, t F is the maximum wind speed moment, V (t) is the time-dependent change curve of the wind speed measured by the wind speed sensor, V max is the maximum wind speed, X 1、X2 is the voltage stability coefficient matrix obtained by monitoring the first and second FTUs, respectively, Z (t) is the time-dependent change curve of the impedance value measured by the line impedance device, and Z max is the maximum impedance value of the power distribution network monitored by the line impedance sensor in a 24-hour period.
The toughness of the distribution network represented by the value range of the distribution network evaluation coefficient is as follows: if Ga is less than or equal to 0.21, the toughness of the power distribution network is good; ga is more than 0.21 and less than or equal to 0.75, the toughness of the power distribution network is general, and the suspected fault risk or the anti-interference capability of the power distribution network is general; ga >0.75, the toughness of the distribution network is poor. The Ga value range is obtained by the following steps: and constructing a simulation model under normal operation and fault states of the power distribution network, obtaining a large amount of data by combining field actual measurement, and obtaining the value range of the toughness coefficient of the power distribution network through data analysis and fitting.
The anti-interference factor calculation formula is as follows:
Wherein eta is an anti-interference factor.
The fault risk judging method comprises the following steps: if eta is less than or equal to Ga, indicating that the toughness of the power distribution network is general and the fault risk exists, sending out a warning through the FTU, and informing a worker of removing the fault risk; if eta > Ga, the toughness of the power distribution network is poor, the action of the isolating switch is controlled through the FTU, the line of the power distribution network section to be tested is cut off, and a warning is sent out to inform staff of eliminating the fault risk.
The foregoing is merely illustrative of the present invention, and the present invention is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present invention. Therefore, the protection scope of the invention is subject to the protection scope of the claims.
Claims (9)
1. A power distribution network toughness assessment and emergency control method based on multi-source information fusion is characterized by comprising the following steps:
S10, selecting one section of a power distribution network line as a power distribution network section to be tested, and arranging two FTUs at two ends of the power distribution network section to be tested, namely arranging one FTU at the head and the tail of each FTU, wherein the FTUs are feeder terminal units;
s20, acquiring two groups of current signals and voltage signals acquired by the two set FTUs; comprising a first FTU-acquired set of current signals and voltage signals Another set of current signals and voltage signals acquired by the second FTU/>；
S30, installing a wind speed sensor and a line impedance sensor between the power distribution network sections to be tested;
S40, acquiring a change curve of the wind speed obtained by the wind speed sensor along with time as a first curve, and acquiring a change curve of the impedance value measured by the line impedance sensor along with time as a second curve;
S50, performing multi-component mixed decomposition calculation on the voltage signals acquired by the two FTUs to obtain two groups of fundamental wave and harmonic wave signals;
s60, calculating a voltage stability coefficient matrix and an anti-interference factor by using the obtained two groups of fundamental wave and harmonic wave signals;
s70, calculating a toughness evaluation coefficient of the power distribution network by using the voltage stability coefficient matrix, the first curve and the second curve;
and S80, judging the fault risk according to the calculated toughness evaluation coefficient and the anti-interference factor of the power distribution network, and outputting the fault risk to staff for discharging to realize emergency control of the fault risk of the power distribution network.
2. The method for evaluating toughness and controlling emergency of a power distribution network based on multi-source information fusion according to claim 1, wherein the wind speed sensor and the line impedance sensor are both installed at the middle position of the power distribution network section to be tested.
3. The method for evaluating toughness and controlling emergency of a power distribution network based on multi-source information fusion according to claim 1, wherein the acquisition period of the first curve and the second curve is 24 hours.
4. The toughness assessment and emergency control method for a power distribution network based on multi-source information fusion according to claim 1, wherein the formula for performing multi-component mixed decomposition calculation on voltage signals acquired by two FTUs is as follows:
；
In the method, in the process of the invention, For the voltage signal of the distribution network, comprising a voltage signal U1 measured by a first FTU and a voltage signal U2 measured by a second FTU,/>Is the fundamental wave and harmonic wave signals of the power distribution network,The subscripts 1,2, …, n in (a) denote harmonic orders,/>Representation of signal/>The fundamental wave and harmonic wave signals are obtained through an electric energy quality analyzer of the power distribution network;
by measuring voltage signal of first FTU The voltage signal U2 measured by the second FTU is respectively subjected to multi-source mixed decomposition calculation to obtain two groups of fundamental wave and harmonic wave signals。
5. The method for evaluating toughness and controlling emergency of a power distribution network based on multi-source information fusion according to claim 4, wherein the calculation formula of the voltage stability coefficient matrix is as follows:
In the method, in the process of the invention, Representing rated voltage of power distribution network section to be tested,/>J=1, 2, which is the moment of maximum load in the daily load curve of the distribution network.
6. The method for evaluating toughness and controlling emergency of a power distribution network based on multi-source information fusion according to claim 5, wherein the calculation formula of the toughness evaluation coefficient of the power distribution network is as follows:
In the method, in the process of the invention, Representing the toughness evaluation coefficient/>, of a power distribution networkIs the maximum moment of load in daily load curve,/>For the current signal/>Peak time record,/>For the current signal/>Peak time of/>For maximum wind speed moment,/>For the change curve of wind speed measured by wind speed sensor with time,/>For maximum wind speed,/>The voltage stability coefficient matrix obtained by monitoring the first FTU and the second FTU is shown as Z (t) which is the change curve of the impedance value measured by the line impedance device along with time,/>The impedance sensor is used for monitoring the maximum value of the impedance of the power transmission line of the power distribution network in a period of 24 hours.
7. The method for evaluating the toughness of the power distribution network and controlling the toughness of the power distribution network based on the multi-source information fusion according to claim 6, wherein the power distribution network toughness represented by the value range of the power distribution network evaluation coefficient is as follows: if Ga is less than or equal to 0.21, the toughness of the power distribution network is good; ga is more than 0.21 and less than or equal to 0.75, the toughness of the power distribution network is general, and the suspected fault risk or the anti-interference capability of the power distribution network is general; ga >0.75, the toughness of the distribution network is poor.
8. The method for evaluating toughness and controlling emergency of a power distribution network based on multi-source information fusion according to claim 6, wherein the anti-interference factor calculation formula is as follows:
In the method, in the process of the invention, Is an anti-interference factor.
9. The method for evaluating toughness and controlling emergency of a power distribution network based on multi-source information fusion according to claim 8, wherein the method for judging risk of failure is as follows: if eta is less than or equal to Ga, indicating that the toughness of the power distribution network is general and the fault risk exists, sending out a warning through the FTU, and informing a worker of removing the fault risk; if eta > Ga, the toughness of the power distribution network is poor, the action of the isolating switch is controlled through the FTU, the line of the power distribution network section to be tested is cut off, and a warning is sent out to inform staff of eliminating the fault risk.
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