CN111157837B - Analysis method for voltage sag depression domain of oil field power distribution network - Google Patents

Analysis method for voltage sag depression domain of oil field power distribution network Download PDF

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CN111157837B
CN111157837B CN201811324474.6A CN201811324474A CN111157837B CN 111157837 B CN111157837 B CN 111157837B CN 201811324474 A CN201811324474 A CN 201811324474A CN 111157837 B CN111157837 B CN 111157837B
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voltage sag
distribution network
voltage
oil field
power distribution
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CN111157837A (en
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孙东
李炜
齐光峰
范路
刘泱
张晓菡
王晓东
刘杰
刘绍鹏
马坤
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China Petroleum and Chemical Corp
Technology Inspection Center of Sinopec Shengli Oilfield Co
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    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/08Locating faults in cables, transmission lines, or networks
    • G01R31/088Aspects of digital computing
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    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
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    • G01R27/02Measuring real or complex resistance, reactance, impedance, or other two-pole characteristics derived therefrom, e.g. time constant
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/08Locating faults in cables, transmission lines, or networks
    • G01R31/081Locating faults in cables, transmission lines, or networks according to type of conductors
    • G01R31/086Locating faults in cables, transmission lines, or networks according to type of conductors in power transmission or distribution networks, i.e. with interconnected conductors

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Abstract

The invention provides an analysis method for a voltage sag depression domain of an oil field power distribution network, and belongs to the technical field of power systems. The technical scheme is as follows: the method is characterized in that the conditions of nodes and branches in a power grid system are analyzed according to the actual oil field power distribution network system, bus parameters, fault branch parameters and non-fault branch parameters with load operation in the power grid are detected and obtained, and a model graph is established to analyze, deduce and determine the relation between the critical distance of the voltage sag and each parameter. The invention has the beneficial effects that: compared with the traditional calculation method, the method reduces the calculation error of the critical distance of the voltage sag of the fault line, and accurately determines the range of the actual fault line.

Description

Analysis method for voltage sag depression domain of oil field power distribution network
Technical Field
The invention relates to the technical field of power systems, in particular to an analysis method for a voltage sag depression domain of an oil field power distribution network.
Background
The voltage sag is a transient electric energy quality phenomenon that the effective voltage value in the power system is instantaneously reduced to 10% -90% of a rated value and the duration is 10 milliseconds to several seconds. Voltage sag is mainly caused by faults, starting of high-power induction motors, transformer magnetizing inrush current, lightning stroke on lines and the like. The operating characteristics of the oil field power distribution network are different from those of the conventional power distribution network, and the large-power electric equipment and the large-power distribution transformers are numerous, so that the voltage sag problem is more prominent. After the voltage sag amplitude exceeds the tolerance capability of the electric equipment, the equipment can be automatically stopped, so that the yield of an oil field is influenced, and even the equipment is damaged, and other indirect losses are caused. At present, voltage sag has become a problem of general concern in the field of electric energy quality of oil field distribution networks. Therefore, in order to ensure the operation reliability of important loads such as high-yield wells, water injection and the like of the oil field, the anti-interference device is arranged in the switch execution circuit of the equipment, so that the equipment can continuously operate when the voltage sag phenomenon occurs in the distribution network of the oil field, and the influence of load outage on the production of the oil field is reduced.
Currently, the impact of load branch currents is often ignored when analyzing the magnitude of voltage sags caused by faults in conventional power distribution networks. In an oil field distribution network, when voltage sag occurs, equipment of a fault line can be stopped, equipment of a non-fault line cannot be stopped under the action of the anti-interference device, and large load branch current still exists. At this time, the traditional calculation method is not suitable for the situation, namely the influence of the load branch current on the voltage sag domain range of the power distribution network cannot be ignored. The traditional calculation method can enlarge the critical distance of voltage sag of a fault line and increase calculation errors.
Disclosure of Invention
The invention aims to provide an analysis method for a voltage sag hollow domain of an oil field power distribution network system, which is used for reducing the voltage sag critical distance error of a fault line.
The invention is realized by the following measures: the method is characterized in that the conditions of nodes and branches in a power grid system are analyzed according to the actual oil field power distribution network system, parameters of buses and fault branches and parameters of non-fault and load operation branches in the power grid are detected and obtained, and a model diagram is established to analyze, deduce and determine the relation between the critical distance of the voltage sag and each parameter.
Voltage sag in the power distribution network can be outwards propagated by taking a sag source as a starting point, generally, the voltage sag at the sag source is the most serious, and the sag amplitude of the voltage sag outwards propagated process is sequentially weakened. The area of the fault point in the system, which is caused by the voltage sag caused by the fault and enables the sensitive load concerned to not work normally, is defined as a pit area. When the sensitive load is positioned outside the sunken area, the fault at the point does not influence the normal work of the sensitive load, otherwise, the fault at the point possibly influences the normal work of the sensitive load. The sag domain marks the swept range of the voltage sag, and is an important index for evaluating the severity of the voltage sag and the sag resistance of the system.
And establishing a model diagram of the power grid system according to each parameter, wherein the model diagram is respectively a line equivalent circuit diagram and a current-voltage phasor relation diagram. The relation formula of bus parameters, fault branch parameters, non-fault branch parameters with load operation and critical distance of a voltage sag depression domain is obtained through concrete analysis and derivation according to a line equivalent circuit diagram and a relation diagram of current-voltage phasor:
Figure RE-GDA0001975747930000021
z1=r1+jx1 ZS=RS+jXS
wherein: in the formula IcritIs a critical distance, ZSIs the system impedance, z1For the non-faulty branch unit impedance,
Figure RE-GDA0001975747930000022
Usagfor bus voltage, USIs the system voltage, x1Line reactance value, r, per unit length of non-faulted branch1Line resistance value, X, per unit length of non-faulty branchSIs the reactance value of the system impedance, RSIs the system impedance, ZloadJ is the imaginary number, which is the resistance value of the non-faulted branch impedance.
And (3) building a simulation model according to the actual line condition, substituting a formula to determine the critical distance of the voltage sag depression domain, and determining the range of the fault line in the actual power grid system according to the critical distance of the voltage sag depression domain.
The specific derivation process can be known from the circuit equivalent circuit diagram:
Figure RE-GDA00019757479300000210
in addition, the first and second substrates are,
Figure RE-GDA0001975747930000023
Zkis the resistance value of the fault branch impedance.
The derivation analysis results in:
Figure RE-GDA0001975747930000024
in addition, in an oil field distribution network system, the fault of three-phase short circuit is the main, when the three-phase short circuit occurs, the circuit is in a certain stable state, and certain phase voltage and current in the system are respectively: u. ofa=Umsin(ωt+α),
Figure RE-GDA0001975747930000029
When a short circuit occurs at a point k placed in the circuit, the change of the current conforms to the following differential equation:
Figure RE-GDA0001975747930000025
solving a differential equation to obtain:
Figure RE-GDA0001975747930000026
in the formula ipFor the periodic component of the short-circuit current, IpmIs the amplitude of the periodic component current,
Figure RE-GDA0001975747930000027
inpbeing a non-periodic component of the circuit current, TaIs the decay time constant of the non-periodic component current,
Figure RE-GDA0001975747930000028
alpha is the phase angle of the power supply voltage (closing phase angle), Z is the impedance from the power supply to the short-circuit point,
Figure RE-GDA0001975747930000031
c is an integration constant, determined by initial conditions, for the phase angle between the short circuit current and the voltage.
In a circuit comprising an inductor, the current cannot change suddenly, and the current at the moment before the short circuit is equal to the current at the moment after the short circuit:
Figure RE-GDA0001975747930000032
then there are:
Figure RE-GDA0001975747930000033
wherein inp0The initial value of the non-periodic component current, so the short circuit total current is:
Figure RE-GDA0001975747930000034
wherein, the periodic component of the short-circuit current is:
Figure RE-GDA0001975747930000035
in practical calculation of short-circuits, the effective value of the periodic component current is generally used for calculation, i.e. Ik=RMS(ip) To obtain the bus short-circuit current I under the maximum/minimum operation modekShort circuit capacity S thereofkEqual to the short-circuit current multiplied by the average rated voltage U of the short-circuit pointavI.e. by
Figure RE-GDA0001975747930000036
Impedance Z of power systemSIs composed of
Figure RE-GDA0001975747930000037
Calculating the system impedance ZSCan be used for
Figure RE-GDA0001975747930000038
Bringing in
Figure RE-GDA0001975747930000039
In the method, the fault range in the actual line is determined more accurately.
Compared with the prior art, the invention has the beneficial effects that: compared with the traditional calculation and analysis method, the method reduces the error of the critical distance of the voltage sag of the fault line, and more accurately determines the range of the actual voltage sag domain of the line in the power grid system.
Drawings
Fig. 1 is a circuit equivalent circuit diagram of a power grid system.
Fig. 2 is a current-voltage phasor diagram of a power grid system.
FIG. 3 is a table of critical distance versus sag depth.
FIG. 4 is a graph of critical distance versus sag depth.
Detailed Description
In order to clearly illustrate the technical features of the present solution, the present solution is explained below by way of specific embodiments.
Referring to fig. 1-2, an analysis method for voltage sag of an oil field power distribution network is characterized in that according to an actual oil field power distribution network system, conditions of nodes and branches in the power grid system are analyzed, parameters of buses and fault branches in the power grid and parameters of non-fault and load-bearing operation branches are detected and obtained, and a model diagram is established to analyze, deduce and determine a relation between critical distance of the voltage sag and each parameter.
And establishing a model diagram of the power grid system according to each parameter, wherein the model diagram is respectively a line equivalent circuit diagram and a current-voltage phasor relation diagram. The relation formula of bus parameters, fault branch parameters, non-fault branch parameters with load operation and critical distance of a voltage sag depression domain is obtained through concrete analysis and derivation according to a line equivalent circuit diagram and a relation diagram of current-voltage phasor:
Figure RE-GDA0001975747930000041
z1=r1+jx1 ZS=RS+jXS
wherein: in the formula IcritIs a critical distance, ZSIs the system impedance, z1For the non-faulty branch unit impedance,
Figure RE-GDA0001975747930000042
Usagfor bus voltage, USIs the system voltage, x1Line reactance value, r, per unit length of non-faulted branch1Line resistance value, X, per unit length of non-faulty branchSIs the reactance value of the system impedance, RSIs the system impedance, ZloadJ is the imaginary number, which is the resistance value of the non-faulted branch impedance.
And (3) building a simulation model according to the actual line condition, substituting a formula to determine the critical distance of the voltage sag depression domain, and determining the range of the fault line in the actual power grid system according to the critical distance of the voltage sag depression domain.
The specific derivation process can be known from the circuit equivalent circuit diagram:
Figure RE-GDA0001975747930000043
wherein
Figure RE-GDA0001975747930000044
ZkIs the resistance value of the fault branch impedance.
The inference analysis yields:
Figure RE-GDA0001975747930000045
referring to fig. 3-4, taking a 10kV power grid line with a line overhead line model of LJ-120 as an example, analyzing the conditions of nodes and branches in the power grid system, and detecting and obtaining bus parameters, fault branch parameters, and non-fault branch parameters with load operation in the power grid. Wherein the system impedance ZS0.636+ j1.017 omega, and its line unit impedance z10.27+ j0.35 omega, the difference between the system impedance and the line impedance is not large, the influence on the sag depth can be ignored, and the load power of the anti-interference electric device is about Pload450kW, which can be considered a purely resistive load due to its high power factor, its impedance is calculated to be approximately Zload=221.9Ω。
A simulation model is built according to the line condition and the parameters, short-circuit faults are set at different fault points, the sag depth of the bus voltage is measured, calculation is carried out according to a traditional calculation method and a calculation method considering load branch current, a relation table of the fault distance and the sag depth is obtained and is shown in figure 3, and a relation curve of the fault distance and the sag depth is drawn according to data in the relation table and is shown in figure 4. It is obvious from the enlarged part of fig. 4 that the theoretical calculation result after considering the influence of the load branch current is closer to the actual simulation data than the conventional calculation method, and it can be seen that the method is more accurate in calculating the critical distance of the voltage sag depression domain of the load line of the anti-interference device installed in the oilfield distribution network, and can provide a more definite theoretical reference for the judgment of the fault point.
The technical features of the present invention which are not described in the above embodiments may be implemented by or using the prior art, and are not described herein again, of course, the above description is not intended to limit the present invention, and the present invention is not limited to the above examples, and variations, modifications, additions or substitutions which may be made by those skilled in the art within the spirit and scope of the present invention should also fall within the protection scope of the present invention.

Claims (2)

1. A method for analyzing a voltage sag depression domain of an oil field power distribution network is characterized in that the conditions of nodes and branches in the oil field power distribution network system are analyzed according to the actual oil field power distribution network system, bus parameters, fault branch parameters and non-fault branch parameters with load operation in the oil field power distribution network system are detected and obtained, and a model diagram is established for analyzing, deducing and determining the relation between the critical distance of the voltage sag depression domain and each parameter;
establishing a model diagram of the oil field power distribution network system according to each parameter, wherein the model diagram is respectively a line equivalent circuit diagram and a current-voltage phasor relation diagram;
the relation formula of bus parameters, fault branch parameters, non-fault branch parameters with load operation and critical distance of a voltage sag depression domain is obtained through concrete analysis and derivation according to a line equivalent circuit diagram and a relation diagram of current-voltage phasor:
Figure FDA0003096887680000011
z1=r1+jx1 ZS=RS+jXS
wherein: in the formula IcritIs a critical distance, ZSIs the system impedance, z1For the non-faulty branch unit impedance,
Figure FDA0003096887680000012
Usagfor bus voltage, USIs the system voltage, x1Line reactance value, r, per unit length of non-faulted branch1Line resistance value, X, per unit length of non-faulty branchSIs the reactance value of the system impedance, RSIs the system impedance, ZloadFor non-faulty branch circuitThe resistance value of the reactance, j, is an imaginary number.
2. The analysis method for the voltage sag domain of the oil field distribution network according to claim 1, wherein a simulation model is built according to the actual line condition, a formula is substituted to determine the critical distance of the voltage sag domain, and finally the range of the voltage sag domain of the actual line in the power grid system is determined according to the critical distance of the voltage sag domain.
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