CN111856176A - Low-frequency oscillation disturbance source identification method and system based on power grid cut set online search - Google Patents
Low-frequency oscillation disturbance source identification method and system based on power grid cut set online search Download PDFInfo
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Abstract
The invention discloses a method and a system for identifying a low-frequency oscillation disturbance source based on power grid cut set online search, wherein the method comprises the following steps: acquiring power grid real-time state data and Power Management Unit (PMU) data, and performing online search on power grid cut sets based on the power grid real-time state data and the PMU data to acquire a plurality of power grid cut sets; performing oscillation energy calculation and oscillation direction judgment on each power grid cut set in the plurality of power grid cut sets to obtain calculated oscillation energy and a judged oscillation direction; identifying a low frequency oscillation disturbance source based on the oscillation energy and the oscillation direction.
Description
Technical Field
The invention relates to the technical field of online safety and stability calculation and analysis of power systems, in particular to a low-frequency oscillation disturbance source identification method and system based on online search of a power grid cut set.
Background
The electromechanical power oscillation of the power system refers to the phenomenon that after the system is disturbed, the rotors of the generators which synchronously run swing relatively to each other, so that the electric quantities such as power, voltage, frequency and the like in the system oscillate in different degrees, the oscillation is strongly related to the characteristic quantity (angle and speed) of the rotors of the generators, and the oscillation frequency is generally within the range of 0.02-2.5 Hz.
In the event of power oscillations that have occurred, there is both weak damping or even negative damping oscillations due to insufficient damping of the system, and forced oscillations caused by sustained small periodic disturbances. The oscillation is usually caused by cascading failures or equipment anomalies, it is difficult to find the oscillation source and the oscillation cause in time, and in the absence of effective damping, the oscillation exists for a long time and may be dispersed. A plurality of blackout accidents at home and abroad are directly related to low-frequency oscillation or appear at a certain stage of the evolution of blackout (for example, the blackout of a western power grid in the United states in 8 months in 1996 and the blackout of the American in 8 months in 2003). When a power system has a cascading failure and oscillates, power grid and power plant operators often face massive information provided by a monitoring system, and can only judge the information by experience or are stranded ineligibly, so that other successive system failures are easily caused, and huge economic loss and social influence are caused.
The electromechanical oscillation problem is a prominent problem in the interconnection process of power grids in China. In practical systems, power oscillation phenomena caused by periodic loads or disturbances also occur, and low-frequency oscillation is difficult to be explained by adopting the traditional negative damping theory, so that the attention of more and more researchers is attracted, and research on forced power oscillation of power systems is carried out. These studies have shown that small, continuous periodic disturbances can cause forced power oscillations in the power system, and when the frequency of the disturbance is close to the natural frequency of the system, the system can resonate, resulting in large power oscillations, or low frequency oscillations referred to as the resonance mechanism. The expression form of the forced power oscillation is similar to that of the negative damping low-frequency oscillation, how to distinguish the negative damping low-frequency oscillation from the forced power oscillation according to the characteristics of the oscillation, how to quickly locate the disturbance source, and reducing the risk brought by the oscillation are problems to be solved urgently.
The electromechanical oscillation problem faced by the electric power system in China mainly has three characteristics. One is the integration feature. The interconnected power grids networked nearby gradually develop to a unified power grid connected with a compact grid frame, the electrical connection is tighter, and the mutual influence and interaction of each level of power grids are further enhanced. Local problems lead to increasingly more pronounced regularity of the overall network oscillations. And secondly, the risk of power oscillation is increased due to the change of the power grid operation mode, and the risk of system oscillation is increased due to the fact that the overall characteristics of the system are obviously changed due to the change of a local power grid, main power transmission channel equipment and an important power supply due to high-voltage, long-distance and high-capacity power transmission, and the risk of system oscillation is increased due to the cascading failure caused by the 'N-1' or 'N-2' power grid operation mode. Thirdly, the control system abnormity causes the low-frequency oscillation cases to be obviously increased. The damping control of the power system highly depends on the control system, the excitation and speed regulation control technology of the generator is continuously updated, the power electronic equipment such as a high-capacity direct current transmission, a Static Var Compensator (SVC), a reactive generator (SVG) and the like is widely applied, and the oscillation case of the power system caused by the abnormity (or invisible fault) of the control system shows a trend of obvious increase.
A PMU-based Wide Area Measurement System (WAMS) can directly extract the dynamics of the system from the transition of variables. At present, WAMS is widely applied in China, and covers over 95% of 500kV transformer substations. The WAMS system is capable of quickly measuring generator lines, bus-related traces (power, internal potential, power angle, angular velocity, voltage, frequency, phase, etc.) and transmitting information to a central station with a small amount of time lag. The method can be used for power real-time monitoring, mathematical model and parameter checking, low-frequency oscillation feature extraction and oscillation mode identification. The related technology of power system oscillation identification and control based on WAMS is rapidly developed. On the other hand, an online safety and stability assessment system (DSA) can perform online dynamic safety analysis on a current operation section, has a safety early warning function, performs dynamic stability analysis by adopting an implicit integration and characteristic root calculation method (a QR method and an implicit restart Arnoldi algorithm) according to a real-time operation state of a power grid, a deterministic model, parameters and expected faults, gives a low-frequency oscillation mode of the system in a current operation mode, and gives a damping ratio and an oscillation frequency.
Therefore, experience and training of electric power system oscillation accidents at home and abroad need to be referred to, the evolution law of electric power system oscillation is comprehensively and deeply researched, an advanced power grid wide area information system and an on-line real-time simulation and control means are fully utilized, the complex oscillation process is quantified and visualized, and timely and accurate positioning and effective control of an oscillation source are realized. The method realizes the aim of 'measuring, identifying and controlling' of the oscillation of the power system, and has important significance for ensuring the safe and stable operation of the power grid.
Disclosure of Invention
The technical scheme of the invention provides a method and a system for identifying a low-frequency oscillation disturbance source based on power grid cut set online search, so as to solve the problem of how to identify the low-frequency oscillation disturbance source.
In order to solve the above problems, the present invention provides a method for identifying a low-frequency oscillation disturbance source based on a power grid cut set online search, the method comprising:
acquiring power grid real-time state data and Power Management Unit (PMU) data, and performing online search on power grid cut sets based on the power grid real-time state data and the PMU data to acquire a plurality of power grid cut sets;
performing oscillation energy calculation and oscillation direction judgment on each power grid cut set in the plurality of power grid cut sets to obtain calculated oscillation energy and a judged oscillation direction;
identifying a low frequency oscillation disturbance source based on the oscillation energy and the oscillation direction.
Preferably, the grid cutset comprises: the provincial section cuts the collection, provincial subregion section cuts the collection, the station cuts the collection.
Preferably, the performing oscillation energy calculation on each power grid cut set in the plurality of power grid cut sets comprises:
obtaining Power Management Unit (PMU) data of a plurality of line members at a plurality of preset moments from the current moment to the front based on a plurality of lines of a power grid cut set, wherein the PMU data of the power management unit comprise active power P and frequency f of the line, and the time interval of the PMU data of adjacent power management units is a preset time interval;
Calculating the average active power P of the line at a plurality of preset momentsavgAnd average frequency favg；
PiIs the power at the ith time instant; f. ofiIs the frequency of the ith moment;
calculating the oscillation energy E of the line:
the oscillation energy of the power grid cut set i is the sum of the oscillation energy of the line members:
Emis the oscillation energy of the line m.
Preferably, the identifying a low-frequency oscillation disturbance source based on the oscillation energy and the oscillation direction includes:
counting the maximum value E of the oscillation energy of each power grid cut set in a plurality of power grid cut setsmaxDetermining the maximum value E of the oscillation energymaxWhether the oscillation energy is larger than a set oscillation energy threshold value Elfo；
When the maximum value E of the oscillation energymaxGreater than a set oscillation energy threshold ElfoJudging that the current power grid oscillates and continuously identifying a low-frequency oscillation disturbance source;
when the oscillation energy of the provincial section cut set is greater than 0, judging that the low-frequency oscillation disturbance source is in the province;
and when the oscillation energy of the provincial section cut set is less than 0, judging that the low-frequency oscillation disturbance source is out of province.
Preferably, when the low-frequency oscillation disturbance source is in province, judging the oscillation energy of the intersectional cut set in province, including:
when the oscillation energy of the inter-provincial partition section cut set is larger than 0, judging that the low-frequency oscillation disturbance source is in the intra-provincial partition;
And when the oscillation energy of the inter-provincial subarea section cut set is less than 0, judging that the low-frequency oscillation disturbance source is outside the intra-provincial subarea.
Preferably, when the low-frequency oscillation disturbance source is in the provincial subarea, judging the oscillation energy of the station cut set in the provincial subarea, and including:
when the oscillation energy of the plant station cut set is larger than 0, judging that the low-frequency oscillation disturbance source is in the plant station;
and when the oscillation energy of the plant station cut set is less than 0, judging that the low-frequency oscillation disturbance source is outside the plant station.
Based on another aspect of the present invention, the present invention provides a system for identifying a low-frequency oscillation disturbance source based on an online search of a power grid cut set, the system comprising:
the power management unit comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring power grid real-time state data and Power Management Unit (PMU) data, and performing power grid cut set online search based on the power grid real-time state data and the Power Management Unit (PMU) data to acquire a plurality of power grid cut sets;
the calculation unit is used for calculating the oscillation energy and judging the oscillation direction of each power grid cut set in the plurality of power grid cut sets to obtain the calculated oscillation energy and the judged oscillation direction;
and the identification unit is used for identifying the low-frequency oscillation disturbance source based on the oscillation energy and the oscillation direction.
Preferably, the grid cutset comprises: the provincial section cuts the collection, provincial subregion section cuts the collection, the station cuts the collection.
Preferably, the calculation unit is configured to perform oscillation energy calculation on each of the plurality of power grid cutsets, and includes:
obtaining Power Management Unit (PMU) data of a plurality of line members at a plurality of preset moments from the current moment to the front based on a plurality of lines of a power grid cut set, wherein the PMU data of the power management unit comprise active power P and frequency f of the line, and the time interval of the PMU data of adjacent power management units is a preset time interval;
calculating the average active power P of the line at a plurality of preset momentsavgAnd average frequency favg；
PiIs the power at the ith time instant; f. ofiIs the frequency of the ith moment;
calculating the oscillation energy E of the line:
the oscillation energy of the power grid cut set i is the sum of the oscillation energy of the line members:
Emis the oscillation energy of the line m.
Preferably, the identification unit is configured to identify a low-frequency oscillation disturbance source based on the oscillation energy and the oscillation direction, and includes:
counting the maximum value E of the oscillation energy of each power grid cut set in a plurality of power grid cut setsmaxDetermining the maximum value E of the oscillation energymaxWhether the oscillation energy is larger than a set oscillation energy threshold value E lfo；
When the maximum value E of the oscillation energymaxGreater than a set oscillation energy threshold ElfoJudging that the current power grid oscillates and continuously identifying a low-frequency oscillation disturbance source;
when the oscillation energy of the provincial section cut set is greater than 0, judging that the low-frequency oscillation disturbance source is in the province;
and when the oscillation energy of the provincial section cut set is less than 0, judging that the low-frequency oscillation disturbance source is out of province.
Preferably, the identification unit is further configured to: when the low frequency oscillation disturbance source is in province, the oscillation energy of the intersegmental section cut set is judged, and the method comprises the following steps:
when the oscillation energy of the inter-provincial partition section cut set is larger than 0, judging that the low-frequency oscillation disturbance source is in the intra-provincial partition;
and when the oscillation energy of the inter-provincial subarea section cut set is less than 0, judging that the low-frequency oscillation disturbance source is outside the intra-provincial subarea.
Preferably, the identification unit is further configured to: when the low-frequency oscillation disturbance source is in the provincial subarea, judging the oscillation energy of the plant station cutting set in the provincial subarea, wherein the method comprises the following steps:
when the oscillation energy of the plant station cut set is larger than 0, judging that the low-frequency oscillation disturbance source is in the plant station;
and when the oscillation energy of the plant station cut set is less than 0, judging that the low-frequency oscillation disturbance source is outside the plant station.
The technical scheme of the invention provides a low-frequency oscillation disturbance source identification method based on power grid cut set online search, which comprises the following steps: acquiring power grid real-time state data and Power Management Unit (PMU) data, and performing online search on power grid cut sets based on the power grid real-time state data and the PMU data to acquire a plurality of power grid cut sets; performing oscillation energy calculation and oscillation direction judgment on each power grid cut set in the plurality of power grid cut sets to obtain calculated oscillation energy and a judged oscillation direction; and identifying the low-frequency oscillation disturbance source based on the oscillation energy and the oscillation direction. The technical scheme of the invention provides the online identification of the ultralow frequency oscillation disturbance source of the power grid based on the WAMS and real-time operation data, realizes the regional rapid positioning of the oscillation cluster, the identification of the correlation degree of the unit and the oscillation mode, and realizes the oscillation alarm based on the PMU data of the power management unit in important power plants and converter stations.
Drawings
A more complete understanding of exemplary embodiments of the present invention may be had by reference to the following drawings in which:
FIG. 1 is a flow chart of a method for identifying a low-frequency oscillation disturbance source based on online search of a power grid cut set according to a preferred embodiment of the present invention;
FIG. 2 is a flow chart of a method for identifying a low-frequency oscillation disturbance source based on the online search of a power grid cut set according to the preferred embodiment of the invention;
FIG. 3 is a schematic diagram of the identification of the oscillation disturbance source based on the cut set of the power grid according to the preferred embodiment of the present invention; and
fig. 4 is a structural diagram of a low-frequency oscillation disturbance source identification system based on the online search of a power grid cut set according to a preferred embodiment of the invention.
Detailed Description
The exemplary embodiments of the present invention will now be described with reference to the accompanying drawings, however, the present invention may be embodied in many different forms and is not limited to the embodiments described herein, which are provided for complete and complete disclosure of the present invention and to fully convey the scope of the present invention to those skilled in the art. The terminology used in the exemplary embodiments illustrated in the accompanying drawings is not intended to be limiting of the invention. In the drawings, the same units/elements are denoted by the same reference numerals.
Unless otherwise defined, terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Further, it will be understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense.
Fig. 1 is a flowchart of a method for identifying a low-frequency oscillation disturbance source based on a power grid cut set online search according to a preferred embodiment of the present invention. The invention aims to solve the technical problem of identifying the ultralow frequency oscillation disturbance source of the online search of the power grid cut set. Specifically, the method comprises the steps of firstly obtaining the real-time state of a power grid and PMU measurement data to perform online search of power grid cut sets, then calculating the oscillation energy and the oscillation direction of each power grid cut set according to the PMU data, and finally integrating the oscillation direction and the oscillation energy of each cut set to identify the ultra-low frequency oscillation disturbance source.
The invention provides an identification method of an ultralow frequency oscillation disturbance source for online search of a power grid cut set, which comprises the following steps: the method comprises the steps of firstly obtaining the real-time state of a power grid and PMU (power management unit) measurement data to perform online search of a power grid cut set, then calculating the oscillation energy and the oscillation direction of each power grid cut set according to the PMU data of the power management unit, and finally integrating the oscillation direction and the oscillation energy of each cut set to identify the ultra-low frequency oscillation disturbance source. The system for identifying the disturbance source of the ultralow frequency oscillation realizes the identification of the disturbance source of the ultralow frequency oscillation. The method can dynamically search out the power grid cut set according to the real-time running state of the power grid and the PMU measurement information of the power management unit, and can be suitable for the topology change of the power grid and the PMU measurement state change of the power management unit. The method disclosed by the invention is based on the oscillation energy size and the oscillation direction of the cutting set of the power grid, and the ultra-low frequency oscillation disturbance source is quickly identified so as to take control measures to the disturbance source in time to eliminate oscillation, so that the method has important significance for ensuring the safe and stable operation of the power grid. As shown in fig. 1, the present invention provides a method for identifying a low-frequency oscillation disturbance source based on a power grid cut set online search, the method comprising:
Preferably, in step 101: acquiring power grid real-time state data and Power Management Unit (PMU) data, and performing online search on power grid cut sets based on the power grid real-time state data and the PMU data to acquire a plurality of power grid cut sets; preferably, the grid cutset comprises: the provincial section cuts the collection, provincial subregion section cuts the collection, the station cuts the collection.
The method obtains the real-time state of the power grid and PMU data, and carries out online search of the cut set of the power grid. Firstly, acquiring the real-time state of a power grid and PMU data, and carrying out online search on a cut set of the power grid. Firstly, acquiring real-time state data of a power grid, and searching a power grid cut set on line. Then obtaining PMU data, and judging which searched power grid cutting sets have oscillation calculation conditions.
And acquiring real-time state data of the power grid, and acquiring the switching state of each line in the power grid. Three power grid cutsets are searched: the provincial section cuts the collection, provincial subregion section cuts the collection, the station cuts the collection.
a) And searching the lines meeting the conditions to form the provincial section cut set.
Condition 1: the station at one end of the line belongs to the province, and the station at the other end does not belong to the province. The direction of the line is taken to be the positive direction out of the province.
Condition 2: the line is in operation.
For a certain province, there are 1 and only 1 province-level secant.
b) The inter-provincial and inter-regional section cutting set is formed by firstly searching the intra-provincial regions and then aiming at each region.
The steps of intra-provincial partition searching are as follows:
step 1: and setting the states of all 500kV lines in province as quit transportation. The direction of the line is taken to flow out of the partition as the positive direction.
Step 2: the island topology considering the electrical connection (through the line connection) is carried out by considering the switching state (including the 500kV line already switched out) of the current line in the province, and each electrical island is 1 province subarea.
Then, aiming at each subarea, the section cut sets among the subareas are searched one by one, and the line group component interval section cut sets meeting the conditions are searched.
Condition 1: and the plant station at one end of the line belongs to the subarea, and the plant station at the other end does not belong to the subarea.
Condition 2: the line is in operation.
c) And (3) station cutting sets, aiming at each station, forming the cutting sets of the station by all connecting lines of the station, and taking the flow out of the station in the direction of the line as the positive direction.
The set of three cut sets searched is denoted as CutSet 0.
Then obtaining PMU data, and judging which searched power grid cutting sets have oscillation calculation conditions. And judging that all the constituent line members can acquire PMU data by aiming at each cut set in the CutSet0 one by one, wherein the PMU data comprises line active power and line frequency. For a cut set where all constituent line members have PMU data, a computable cut set CutSet1 is included.
Preferably, at step 102: and performing oscillation energy calculation and oscillation direction judgment on each power grid cut set in the plurality of power grid cut sets to obtain the calculated oscillation energy and the judged oscillation direction. Preferably, the oscillation energy calculation is performed for each of the plurality of power grid cutsets, including:
obtaining Power Management Unit (PMU) data of a plurality of line members at a plurality of preset moments from the current moment to the front based on a plurality of lines of a power grid cut set, wherein the PMU data of the power management unit comprise active power P and frequency f of the line, and the time interval of the PMU data of adjacent power management units is a preset time interval;
calculating the average active power P of the line at a plurality of preset momentsavgAnd average frequency favg；
PiIs the power at the ith time instant; f. ofiIs the frequency of the ith moment;
calculating the oscillation energy E of the line:
the oscillation energy of the power grid cut set i is the sum of the oscillation energy of the line members:
Emis the oscillation energy of the line m.
The invention calculates the oscillation energy and judges the oscillation direction of each power grid cut set. The invention calculates the oscillation energy according to the line composition of the cut set, and determines the oscillation direction according to the positive and negative of the oscillation energy value.
The invention discloses a cut set oscillation energy calculation method, which comprises the following steps:
a) And acquiring PMU data of 3000 previous moments of each line member of the cut set from the current moment, wherein the PMU data comprises line active power P and frequency f, and the interval between adjacent PMU data moments is 20 milliseconds.
b) Calculating the average active power and the average frequency at 3000 moments, and recording as Pavg、favg。
c) Calculating the oscillation energy E of the line
The oscillation energy of line m is marked as Em。
d) The oscillation energy of the cut set i is the sum of the oscillation energy of the line members.
Preferably, in step 103: and identifying the low-frequency oscillation disturbance source based on the oscillation energy and the oscillation direction.
Preferably, the identifying the low-frequency oscillation disturbance source based on the oscillation energy and the oscillation direction includes:
counting the maximum value E of the oscillation energy of each power grid cut set in a plurality of power grid cut setsmaxDetermining the maximum value E of the oscillation energymaxWhether the oscillation energy is larger than a set oscillation energy threshold value Elfo；
When maximum value of oscillation energy EmaxGreater than a set oscillation energy threshold ElfoJudging that the current power grid oscillates and continuously identifying a low-frequency oscillation disturbance source;
when the oscillation energy of the provincial section cut set is greater than 0, judging that the low-frequency oscillation disturbance source is in the province;
and when the oscillation energy of the provincial section cut set is less than 0, judging that the low-frequency oscillation disturbance source is out of province.
Preferably, when the low-frequency oscillation disturbance source is in province, judging the oscillation energy of the intersectional cut set in province, including:
when the oscillation energy of the inter-provincial partition section cut set is greater than 0, judging that the low-frequency oscillation disturbance source is in the intra-provincial partition;
and when the oscillation energy of the inter-provincial partition section cut set is less than 0, judging that the low-frequency oscillation disturbance source is outside the intra-provincial partition.
Preferably, when the low-frequency oscillation disturbance source is in the provincial subarea, judging the oscillation energy of the station cut set in the provincial subarea, and including:
when the oscillation energy of the plant station cut set is larger than 0, judging that the low-frequency oscillation disturbance source is in the plant station;
and when the oscillation energy of the plant station cut set is less than 0, judging that the low-frequency oscillation disturbance source is outside the plant station.
The invention identifies the disturbance source of the ultralow frequency oscillation. The invention judges whether the ultra-low frequency oscillation occurs according to the oscillation energy of each cut set, compares the oscillation energy of each cut set, and identifies the disturbance source by combining the oscillation direction. The method comprises the following steps:
a) counting the maximum value E of the oscillation energy of each cut setmaxJudging whether it is larger than a set threshold value ElfoAnd if the current grid oscillation is larger than the threshold value, judging that the current grid oscillation occurs, and continuing to perform the following steps, otherwise, finishing the judgment.
b) Aiming at the provincial section cut set, if the oscillation energy of the provincial section cut set is greater than 0, the provincial section cut set indicates that an oscillation disturbance source is in the province; if the oscillation energy is less than 0, indicating that the oscillation disturbance source is outside the province;
c) judging the oscillation energy of each partition set aiming at each partition of the oscillation disturbance source in the province, and if the oscillation energy is more than 0, indicating that the oscillation disturbance source is in the partition; if the oscillation energy is less than 0, indicating that the oscillation disturbance source is outside the partition;
d) judging the oscillation energy of a station cut set aiming at each station of the oscillation disturbance source in the subarea of the subarea, and if the oscillation energy is more than 0, indicating that the oscillation disturbance source is in the station; and if the oscillation energy is less than 0, indicating that the oscillation disturbance source is outside the plant station.
The invention realizes the disturbance source identification of the ultralow frequency oscillation, can dynamically search out the power grid cut set according to the real-time running state of the power grid and PMU measurement information, and can adapt to the topology change of the power grid and the PMU measurement state change. The method can quickly identify the ultra-low frequency oscillation disturbance source based on the oscillation energy size and the oscillation direction of the cutting set of the power grid so as to take control measures to the disturbance source in time to eliminate oscillation, and has important significance for ensuring the safe and stable operation of the power grid.
Fig. 2 is a flow chart of the system for identifying the disturbance source of the ultra-low frequency oscillation in the online search of the power grid cut-set according to the preferred embodiment of the invention. As shown in fig. 2, the present invention comprises the steps of:
1) acquiring a real-time state of a power grid and PMU data, and performing online search of a cut set of the power grid;
2) performing oscillation energy calculation and oscillation direction judgment on each power grid cut set;
3) and identifying the disturbance source of the ultralow frequency oscillation.
By adopting the method for identifying the ultralow frequency oscillation disturbance source for online search of the power grid cut set, provided by the invention, the real-time state of the power grid and PMU data are obtained to form the following power grid cut set.
TABLE 1 electric network cutset List
And calculating the oscillation energy aiming at the cut set, judging the oscillation of the power grid, and judging the oscillation direction as shown in the following chart. Wherein the 'cut set of the power plant for storing wood' shows that the oscillation disturbance source is in the power plant for storing wood; the 'shannan Tibetan tree cutting set' shows that an oscillation disturbance source is in a shannan Tibetan tree partition; the 'Neiqiong sheep lake cut set' and 'Lasa side multi-cut set' show that the oscillation disturbance source is outside the multi-partition of the Neiqiong sheep lake and the Lasa side. It was therefore concluded that the source of the oscillatory disturbances is in the bankhouse power plant. As shown in fig. 3.
Fig. 4 is a structural diagram of a low-frequency oscillation disturbance source identification system based on the online search of a power grid cut set according to a preferred embodiment of the invention. As shown in fig. 4, the present invention provides a system for identifying a low-frequency oscillation disturbance source based on an online search of a power grid cut set, the system comprising:
The obtaining unit 401 is configured to obtain power grid real-time state data and power management unit PMU data, perform power grid cut set online search based on the power grid real-time state data and the power management unit PMU data, and obtain multiple power grid cut sets; preferably, the grid cutset comprises: the provincial section cuts the collection, provincial subregion section cuts the collection, the station cuts the collection.
A calculating unit 402, configured to perform oscillation energy calculation and oscillation direction discrimination on each power grid cut set in the multiple power grid cut sets, and obtain the calculated oscillation energy and the determined oscillation direction. Preferably, the calculation unit 402 is configured to perform oscillation energy calculation on each of the plurality of power grid cutsets, and includes:
obtaining Power Management Unit (PMU) data of a plurality of line members at a plurality of preset moments from the current moment to the front based on a plurality of lines of a power grid cut set, wherein the PMU data of the power management unit comprise active power P and frequency f of the line, and the time interval of the PMU data of adjacent power management units is a preset time interval;
calculating the average active power P of the line at a plurality of preset momentsavgAnd average frequency favg；
PiIs the power at the ith time instant; f. ofiIs the frequency of the ith moment;
calculating the oscillation energy E of the line:
The oscillation energy of the power grid cut set i is the sum of the oscillation energy of the line members:
Emis the oscillation energy of the line m.
An identification unit 403 for identifying the low frequency oscillation disturbance source based on the oscillation energy and the oscillation direction.
Preferably, the identifying unit 403 is configured to identify the low-frequency oscillation disturbance source based on the oscillation energy and the oscillation direction, and includes:
counting the maximum value E of the oscillation energy of each power grid cut set in a plurality of power grid cut setsmaxDetermining the maximum value E of the oscillation energymaxWhether the oscillation energy is larger than a set oscillation energy threshold value Elfo；
When maximum value of oscillation energy EmaxGreater than a set oscillation energy threshold ElfoJudging that the current power grid oscillates and continuously identifying a low-frequency oscillation disturbance source;
when the oscillation energy of the provincial section cut set is greater than 0, judging that the low-frequency oscillation disturbance source is in the province;
and when the oscillation energy of the provincial section cut set is less than 0, judging that the low-frequency oscillation disturbance source is out of province.
Preferably, the identification unit 403 is further configured to: when the low frequency oscillation disturbance source is in province, the oscillation energy of the intersegmental section cut set is judged, and the method comprises the following steps:
when the oscillation energy of the inter-provincial partition section cut set is greater than 0, judging that the low-frequency oscillation disturbance source is in the intra-provincial partition;
And when the oscillation energy of the inter-provincial partition section cut set is less than 0, judging that the low-frequency oscillation disturbance source is outside the intra-provincial partition.
Preferably, the identification unit 403 is further configured to: when the low-frequency oscillation disturbance source is in the provincial subarea, judging the oscillation energy of the plant station cutting set in the provincial subarea, wherein the method comprises the following steps:
when the oscillation energy of the plant station cut set is larger than 0, judging that the low-frequency oscillation disturbance source is in the plant station;
and when the oscillation energy of the plant station cut set is less than 0, judging that the low-frequency oscillation disturbance source is outside the plant station.
The system 400 for identifying a low-frequency oscillation disturbance source based on online search of a power grid cut set in the preferred embodiment of the present invention corresponds to the method 100 for identifying a low-frequency oscillation disturbance source based on online search of a power grid cut set in the preferred embodiment of the present invention, and details thereof are not repeated herein.
The invention has been described with reference to a few embodiments. However, other embodiments of the invention than the one disclosed above are equally possible within the scope of the invention, as would be apparent to a person skilled in the art from the appended patent claims.
Generally, all terms used in the claims are to be interpreted according to their ordinary meaning in the technical field, unless explicitly defined otherwise herein. All references to "a/an/the [ device, component, etc ]" are to be interpreted openly as referring to at least one instance of said device, component, etc., unless explicitly stated otherwise. The steps of any method disclosed herein do not have to be performed in the exact order disclosed, unless explicitly stated.
Claims (12)
1. A low-frequency oscillation disturbance source identification method based on power grid cut set online search comprises the following steps:
acquiring power grid real-time state data and Power Management Unit (PMU) data, and performing online search on power grid cut sets based on the power grid real-time state data and the PMU data to acquire a plurality of power grid cut sets;
performing oscillation energy calculation and oscillation direction judgment on each power grid cut set in the plurality of power grid cut sets to obtain calculated oscillation energy and a judged oscillation direction;
identifying a low frequency oscillation disturbance source based on the oscillation energy and the oscillation direction.
2. The method of claim 1, the grid cutset comprising: the provincial section cuts the collection, provincial subregion section cuts the collection, the station cuts the collection.
3. The method of claim 2, the performing oscillation energy calculations for each of a plurality of power grid cutsets, comprising:
obtaining Power Management Unit (PMU) data of a plurality of line members at a plurality of preset moments from the current moment to the front based on a plurality of lines of a power grid cut set, wherein the PMU data of the power management unit comprise active power P and frequency f of the line, and the time interval of the PMU data of adjacent power management units is a preset time interval;
Calculating the average active power P of the line at a plurality of preset momentsavgAnd average frequency favg；
PiIs the ithPower at a time; f. ofiIs the frequency of the ith moment;
calculating the oscillation energy E of the line:
the oscillation energy of the power grid cut set i is the sum of the oscillation energy of the line members:
Emis the oscillation energy of the line m.
4. The method of claim 3, the identifying a low frequency oscillation perturbation source based on the oscillation energy and the oscillation direction, comprising:
counting the maximum value E of the oscillation energy of each power grid cut set in a plurality of power grid cut setsmaxDetermining the maximum value E of the oscillation energymaxWhether the oscillation energy is larger than a set oscillation energy threshold value Elfo；
When the maximum value E of the oscillation energymaxGreater than a set oscillation energy threshold ElfoJudging that the current power grid oscillates and continuously identifying a low-frequency oscillation disturbance source;
when the oscillation energy of the provincial section cut set is greater than 0, judging that the low-frequency oscillation disturbance source is in the province;
and when the oscillation energy of the provincial section cut set is less than 0, judging that the low-frequency oscillation disturbance source is out of province.
5. The method of claim 4, determining the oscillation energy of the intersectional corpus within a province when the low-frequency oscillation disturbance source is within the province, comprising:
When the oscillation energy of the inter-provincial partition section cut set is larger than 0, judging that the low-frequency oscillation disturbance source is in the intra-provincial partition;
and when the oscillation energy of the inter-provincial subarea section cut set is less than 0, judging that the low-frequency oscillation disturbance source is outside the intra-provincial subarea.
6. The method of claim 5, determining an oscillation energy of a station cutset within an intra-provincial partition when a low frequency oscillation disturbance source is within the intra-provincial partition, comprising:
when the oscillation energy of the plant station cut set is larger than 0, judging that the low-frequency oscillation disturbance source is in the plant station;
and when the oscillation energy of the plant station cut set is less than 0, judging that the low-frequency oscillation disturbance source is outside the plant station.
7. A system for identifying a low-frequency oscillation disturbance source based on online search of a cutting set of a power grid, the system comprising:
the power management unit comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring power grid real-time state data and Power Management Unit (PMU) data, and performing power grid cut set online search based on the power grid real-time state data and the Power Management Unit (PMU) data to acquire a plurality of power grid cut sets;
the calculation unit is used for calculating the oscillation energy and judging the oscillation direction of each power grid cut set in the plurality of power grid cut sets to obtain the calculated oscillation energy and the judged oscillation direction;
And the identification unit is used for identifying the low-frequency oscillation disturbance source based on the oscillation energy and the oscillation direction.
8. The system of claim 7, the grid cutset comprising: the provincial section cuts the collection, provincial subregion section cuts the collection, the station cuts the collection.
9. The system of claim 8, the computing unit to perform oscillation energy calculations for each of a plurality of electrical grid cutsets, comprising:
obtaining Power Management Unit (PMU) data of a plurality of line members at a plurality of preset moments from the current moment to the front based on a plurality of lines of a power grid cut set, wherein the PMU data of the power management unit comprise active power P and frequency f of the line, and the time interval of the PMU data of adjacent power management units is a preset time interval;
calculating the average active power P of the line at a plurality of preset momentsavgAnd average frequency favg；
PiIs the power at the ith time instant; f. ofiIs the frequency of the ith moment;
calculating the oscillation energy E of the line:
the oscillation energy of the power grid cut set i is the sum of the oscillation energy of the line members:
Emis the oscillation energy of the line m.
10. The system of claim 9, the identification unit to identify a low frequency oscillation disturbance source based on the oscillation energy and the oscillation direction, comprising:
Counting the maximum value E of the oscillation energy of each power grid cut set in a plurality of power grid cut setsmaxDetermining the maximum value E of the oscillation energymaxWhether the oscillation energy is larger than a set oscillation energy threshold value Elfo；
When the maximum value E of the oscillation energymaxGreater than a set oscillation energy threshold ElfoJudging that the current power grid oscillates and continuously identifying a low-frequency oscillation disturbance source;
when the oscillation energy of the provincial section cut set is greater than 0, judging that the low-frequency oscillation disturbance source is in the province;
and when the oscillation energy of the provincial section cut set is less than 0, judging that the low-frequency oscillation disturbance source is out of province.
11. The system of claim 10, the identification unit further to: when the low frequency oscillation disturbance source is in province, the oscillation energy of the intersegmental section cut set is judged, and the method comprises the following steps:
when the oscillation energy of the inter-provincial partition section cut set is larger than 0, judging that the low-frequency oscillation disturbance source is in the intra-provincial partition;
and when the oscillation energy of the inter-provincial subarea section cut set is less than 0, judging that the low-frequency oscillation disturbance source is outside the intra-provincial subarea.
12. The system of claim 11, the identification unit further to: when the low-frequency oscillation disturbance source is in the provincial subarea, judging the oscillation energy of the plant station cutting set in the provincial subarea, wherein the method comprises the following steps:
When the oscillation energy of the plant station cut set is larger than 0, judging that the low-frequency oscillation disturbance source is in the plant station;
and when the oscillation energy of the plant station cut set is less than 0, judging that the low-frequency oscillation disturbance source is outside the plant station.
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