CN103606916A - Method for assessing power supply capacity of transformer substation - Google Patents
Method for assessing power supply capacity of transformer substation Download PDFInfo
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- CN103606916A CN103606916A CN201310600254.2A CN201310600254A CN103606916A CN 103606916 A CN103606916 A CN 103606916A CN 201310600254 A CN201310600254 A CN 201310600254A CN 103606916 A CN103606916 A CN 103606916A
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Abstract
The invention discloses a method for assessing the power supply capacity of a transformer substation. The method mainly includes the following steps that apparent power of five-minute granularity is calculated, the maximum value of window sliding average values of the apparent power of the five-minute granularity is calculated, the number of the apparent power, exceeding a limit value, of the five-minute granularity is counted, load rates of all transformers are calculated according to the maximum value in the window sliding average values, and whether loads of the transformer substation are on the high side or not is assessed according to the number of the apparent power, exceeding the limit value, of the five-minute granularity and the load rates. Due to the fact that whether the loads of the transformer substation are on the high side or not is comprehensively analyzed according to the counted number of the instant apparent power exceeding the limit value and the window sliding average values, the method is objective and real in assessed result.
Description
Technical field
The present invention relates to the automation that power supply or distribution system are controlled.
Background technology
In electric power system, whether assessment transformer station or substation capacity enough adopt capacity-load ratio method conventionally.Capacity-load ratio is exactly power transformation capacity and the ratio of maximum load, and it shows the relation of installed capacity Yu the highest actual motion capacity of this area, this station or this transformer, reflection capacity spare condition.The estimation formulas of capacity-load ratio is:
.Wherein K1 is dispersing coefficient of load; K2 is average power factor; K3 transformer operation ratio; K4 reserve factor.But this mode is too general, the calculating that particularly average power factor is imposed uniformity without examining individual cases is difficult to, cannot reflects the actual real ruuning situation of transformer station.
Summary of the invention
Problem to be solved of the present invention is to design a kind of method whether substation capacity is enough of assessing, and can more relevantly react transformer station and truly run situation.
For addressing the above problem, the method that the present invention adopts is as follows:
Transformer station's evaluation of power supply capability method, comprises the following steps:
S1: fine-grained active power and the reactive power sequence of obtaining each step down side;
S2: the rated power Sn that obtains each step down side;
S3: the fine-grained apparent power sequence of calculating each step down side;
S4: add up the number Ec that exceeds limit value in the fine-grained apparent power sequence of each step down side;
S5: calculate the maximum Smax in the sliding window mean value of fine-grained apparent power sequence of each step down side;
S6: the load factor LoadRate=Smax/Sn that calculates each transformer;
S7: whether higherly assess each transformer load according to Ec and LoadRate, and whether this transformer station's load is higher accordingly.。
Wherein fine granularity refers to that the time interval is the granularity of 3-5 minute.
A machine readable media, stores instruction set on this computer-readable recording medium, when this instruction set is performed, makes this machine can carry out above-mentioned transformer station's evaluation of power supply capability method.
Technique effect of the present invention: whether the present invention comprehensively analyzes transformer station's load by the quantity of adding up instantaneous apparent power and transfiniting and window sliding mean value higher, and the result of the method assessment is objective reality relatively.
Accompanying drawing explanation
The flow chart of Tu1Shi transformer station of the present invention evaluation of power supply capability method full implementation example.
Embodiment
Below in conjunction with Figure of description, claim of the present invention and summary of the invention are described in further details.
One, active power, reactive power and rated power obtains
The present invention is structured on an electric power monitoring system.The data such as the active power of each transformer of transformer station, reactive power are by certain hour interval real-time sampling and be stored in the real-time data base of this electric power monitoring system.Conventionally, active power, reactive power are pressed 3-5 minutes interval sampling storage.Fine-grained active power and reactive power just refer to that these are by active power and the reactive power of 3-5 minutes interval sampling storage.The present invention obtains the fine-grained active power of each transformer of transformer station and reactive power by reading the real-time data base of this electric power monitoring system.Because active power and reactive power are real time data, the active power and the reactive power that therefore obtain are actually sequence data.Be generally fine-grained active power and reactive power sequence within 1 year.The rated power of each transformer of transformer station is stored in the configuration database of this electric power monitoring system, and the present invention can obtain the rated power of transformer by inquiring about this configuration database.It should be noted that, transformer divides the data of high-pressure side and low-pressure side, and above-mentioned active power, reactive power data are low-pressure side data.Rated power is also the data of low-pressure side.
Two, the calculating of fine-grained apparent power sequence
It will be appreciated by those skilled in the art that apparent power=
.Because active power and the reactive power of aforementioned acquisition is fine-grained sequence data, same, the apparent power calculating is also fine-grained sequence data.
Three, the fine-grained apparent power statistics of value number that transfinites
As previously mentioned, apparent power is fine-grained sequence data.With year section 365, the sampling interval be 5 minutes for example, the apparent power that calculates certain transformer has 365 * 24 * 12=105120 data.If the rated power of this transformer is 100KW, setting threshold is 70KW, if certain fine-grained apparent power surpasses 70KW for being the value that transfinites.Add up the number Ec that exceeds limit value in the fine-grained apparent power sequence of each transformer and be the number that surpasses 70KW in 105120 apparent power of statistics.Certainly, different transformers has different rated power, and Threshold is also inevitable different.
Four, the peaked calculating in the sliding window mean value of fine-grained apparent power sequence
With year section 365, the sampling interval be 5 minutes for example, the apparent power that can calculate certain transformer has 365 * 24 * 12=105120 data.If sliding window size Window_size is 24 hours, the data in each sliding window are 24 * 12=288 data, according to these 288 apparent power, calculate its mean value.The data of 105120 apparent power can obtain 105120-288+1=104833 sliding average.In these 104833, find out the maximum Smax in the sliding window mean value that maximum is fine-grained apparent power sequence.The size that it will be appreciated by those skilled in the art that sliding window Window_size can be set as the case may be, for example, can be set to 3 hours, 8 hours, 24 hours or 72 hours, even 7 days or 10 days or 15 days etc.
Can computational load rate LoadRate=Smax/Sn according to the rated power Sn of Smax and transformer.
Five, whether higher according to Ec and LoadRate assessment transformer load
According to Ec and LoadRate, assess whether whether transformer load is higher can surpass certain limit value by Ec and LoadRate.For example Ec value is greater than 8000, and LoadRate value is greater than 0.6, thinks that this transformer load is higher.In practical application, Ec threshold value and LoadRate threshold value can be set as the case may be, even also a plurality of class can be set.Such as Ec threshold value and three class of LoadRate threshold value setting: the first class is respectively 6000 and 0.6, the second class and is respectively 12000 and 0.75, third gear time is respectively 15000 and 0.9.When Ec and LoadRate surpass the threshold value of the first class, think that this transformer load lays particular stress on; When Ec and LoadRate surpass the threshold value of the second class, think this transformer load heavy duty; When Ec and LoadRate surpass the threshold value of third gear time, think this transformer load overload.
For Er Yan, transformer station of transformer station, may be provided with a plurality of transformers, if certain transformer load is higher, think that this transformer station's load is higher.
Six, complete flow process
As shown in Figure 1, because transformer station comprises a plurality of transformers, whether a plurality of transformers are assessed transformer load by circulation to complete flow process one by one higher.Fig. 1 process step mark correspondence the step mark in aforementioned summary of the invention or claim.
Claims (2)
1.Yi Zhong transformer station evaluation of power supply capability method, is characterized in that, comprises the following steps:
S1: fine-grained active power and the reactive power sequence of obtaining each step down side;
S2: the rated power Sn that obtains each step down side;
S3: the fine-grained apparent power sequence of calculating each step down side;
S4: add up the number Ec that exceeds limit value in the fine-grained apparent power sequence of each step down side;
S5: calculate the maximum Smax in the sliding window mean value of fine-grained apparent power sequence of each step down side;
S6: the load factor LoadRate=Smax/Sn that calculates each transformer;
S7: whether higherly assess each transformer load according to Ec and LoadRate, and whether this transformer station's load is higher accordingly.
2. a machine readable media, stores instruction set on this computer-readable recording medium, when this instruction set is performed, makes this machine can execute claims the transformer station's evaluation of power supply capability method described in 1.
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
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CN106443279A (en) * | 2016-11-21 | 2017-02-22 | 深圳供电局有限公司 | Method, device and system for monitoring operation management abnormity in power grid |
CN106443363A (en) * | 2016-11-21 | 2017-02-22 | 深圳供电局有限公司 | Method, device and system for monitoring power supply capacity abnormity in power grid |
CN106503887A (en) * | 2016-10-09 | 2017-03-15 | 国网江西省电力公司电力科学研究院 | Transformer self-adaptive load factor computational methods in a kind of grid monitoring system |
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KR100872725B1 (en) * | 2008-11-10 | 2008-12-05 | (주)제일전기기술단 | Calculation method of distribution loss of distribution system |
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KR100872725B1 (en) * | 2008-11-10 | 2008-12-05 | (주)제일전기기술단 | Calculation method of distribution loss of distribution system |
CN103236688A (en) * | 2012-11-09 | 2013-08-07 | 云南电网公司昆明供电局 | Method for calculating distribution network power supply capacity based on load characteristics |
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106503887A (en) * | 2016-10-09 | 2017-03-15 | 国网江西省电力公司电力科学研究院 | Transformer self-adaptive load factor computational methods in a kind of grid monitoring system |
CN106443279A (en) * | 2016-11-21 | 2017-02-22 | 深圳供电局有限公司 | Method, device and system for monitoring operation management abnormity in power grid |
CN106443363A (en) * | 2016-11-21 | 2017-02-22 | 深圳供电局有限公司 | Method, device and system for monitoring power supply capacity abnormity in power grid |
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