CN103472298A - Method for analyzing harmonic energy loss of electromechanical device - Google Patents
Method for analyzing harmonic energy loss of electromechanical device Download PDFInfo
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Abstract
The invention provides a method for analyzing harmonic energy loss of an electromechanical device. The method mainly includes the following steps: first, supposing that total harmonic loss ETHD of the electromechanical device is composed of static harmonic loss Ebase and dynamic harmonic loss E', second, acquiring the total harmonic loss ETHD and the static harmonic loss Ebase at N sampling time periods in one work cycle and calculating dynamic harmonic loss coefficients k', third, calculating dynamic harmonic loss change rate L according to the dynamic harmonic loss coefficients k', and fourth, analyzing harmonic loss conditions of the electromechanical device by judging the values of k' and L in one work cycle and carrying out corresponding processing. According to the method, a user can find out newly-increased loss caused by equipment aging and the like in only one work cycle so as to take special improvement measures and estimate improvement effect, therefore, energy waste can be reduced for the user, electric energy transmission quality can be improved, and power consuming efficiency can be improved.
Description
Technical field
The present invention relates to a kind of harmonic wave managing power consumption, relate in particular to a kind of harmonic wave managing power consumption of electromechanical equipment.
Background technology
In recent years, along with the development of Power Electronic Technique, nonlinear load is widely applied, as it is very universal to be applied to frequency converter, the electricity-saving lamp in energy-conservation field.The harmonic problem that nonlinear load brings has also progressively obtained people's attention, and various harmonic wave control technology emerge in an endless stream, and reach its maturity.But the research of people to harmonic wave, often lay particular emphasis in its harm to the electric power system reliability, it is few that the added losses that harmonic wave causes on various kinds of equipment are studied, and Austrian scholar George J.Wakileh has provided the computing method of harmonic wave added losses, larger on the impact of harmonic loss; Yet in electric system, people often pay close attention to the device damage that harmonic pollution brings at present, and be concerned about less to the relation of harmonic loss and saving energy and decreasing loss.
In actual applications, harmonic wave is also a very important capability of energy dissipation, can produce added losses at circuit, increases the network loss of electric power transfer.In the data provided according to Central Japan Utilities Electric Co., even think when 5 subharmonic content I5/I1 are 10%, in the time of will making not have harmonic wave, its loss increases 10%.
Again for example, the comprehensive commercial building of certain 100,000 square meter, the annual electricity consumption of central air conditioner is between 2000-3000 ten thousand kilowatt hours, and normal harmonic loss is 1.5%, and energy loss is annual 300000-450,000 kilowatt hours.In the process come into operation in this building, aging due to equipment, the unreasonable use of frequency converter, the variable effect of environmental parameter, increase harmonic loss.After 1 year, make for above-mentioned reasons its harmonic loss reach 3% working time, and the every annual meeting of the loss that so now brought increases by 300,000-450,000 kilowatt hours.Whether according to traditional detection method, the supvr can't discover this increase waste, even rely on regular visit mechanism, is also just can carry out after will waiting for the several years, even implement to patrol and examine, also can't pass judgment on newly-increased loss and controlled.
Summary of the invention
The present invention is analyzed by the service data of the main harmonic source giant mechanical and electrical equipment in electric system, collection environment configurations based on rational electromechanical equipment, can obtain the electric energy loss of complete detailed each harmonic and measure numerical value, thereby analyze the distribution obtain the electric energy loss that this electromechanical equipment causes due to harmonic wave and absorb the improvement situation, prediction improves effect.
By this analytical model, can be in a work period just find the newly-increased loss that the variation of aging, the unreasonable use that comprises frequency converter due to equipment, environmental parameter causes, carry out special improvement measure, and assess and improve effect, thereby make the user reduce energy dissipation.This helps us to detect in advance and finds occurrence positions and the optimized resolution of harmonic wave control, impels the user to improve and is safeguarded, promotes the delivery of electrical energy quality, improves power consumption efficiency.
The present invention proposes a kind of analytical approach of electromechanical equipment harmonic wave energy consumption, mainly comprises the following steps:
The first step, the harmonic wave total losses E of setting electromechanical equipment
tHDby static harmonic loss E
baseform with dynamic harmonic loss E ' two parts, wherein set static harmonic loss E
base=k
base* E
tHD, dynamic harmonic loss E '=E
tHD-E
base=k'*E
tHD, k
basemean respectively static harmonic loss coefficient and dynamic harmonic loss factor with k'; And set k'=f (t)=a
0+ a
1t+a
2t
2, a wherein
0, a
1, a
2for the constant term coefficient, t is time variable, by above-mentioned, can be derived:
Second step, obtain the harmonic wave total losses E of electromechanical equipment N sampling time section in work period
tHDwith static harmonic loss E
base, calculate the k' value of N sampling time section by formula (1), and form ordered series of numbers set { (1, k
1), (2, k
2), (3, k
3) ... (n, k
n), wherein 1,2 ..., n represents each sampling time section, k
1, k
2... k
nrepresent the k' value of corresponding sampling time section;
The 3rd step, carry out the binomial fitting of least square method by the k' value of N sampling time section that second step is obtained, determine a
0, a
1, a
2numerical value;
The 4th step, to binomial k'=f (t)=a
0+ a
1t+a
2t
2differential obtains:
it means the rate of change of dynamic harmonic loss, and sets the sampling time section that M is maximum in the described work period, calculates L=a
1+ 2a
2the value of M;
The 5th step, by judging the value of k' and L in the described work period, analyze electromechanical equipment harmonic loss situation, and carry out respective handling.
The accompanying drawing explanation
Fig. 1 is the process flow diagram according to the analytical approach of a kind of electromechanical equipment harmonic wave energy consumption of the present invention;
Fig. 2 is dynamic harmonic loss figure according to an embodiment of the invention;
Fig. 3 is dynamic harmonic loss figure according to still another embodiment of the invention;
Fig. 4 is the dynamic harmonic loss figure according to an embodiment more of the present invention.
Embodiment
In the present invention, we define harmonic wave total losses E
tHDby static harmonic loss E
basewith dynamic harmonic loss E' two parts, form.Wherein static harmonic loss, be called again the basic loss of harmonic wave, refer to for electromechanical equipment, and the waste of basic loss harmonic wave, this is the minimum harmonic requirements such as motor action driving that are limited by electromechanical equipment.And the dynamic harmonic loss does not belong to basic loss harmonic wave, refer to the waste of other harmonics frequency components.Dynamic harmonic loss E' is expressed as the energy consumption in motor operation and adjustment process, has undulatory property in time.
In the harmonic loss model analysis, E
tHDas a stochastic distribution of harmonic energy loss, be a function with time correlation, there is an once loss (t is time variable) of time correlation, it comprises static harmonic loss f
staticand dynamic harmonic loss f (t)
adjust(t, E
tHD) two classes.
Set f
static(t)=E
base=k
base* E
tHD(1), k wherein
basemean static harmonic loss coefficient;
From above formula:
Set f
adjust(t, E
tHD) component represented due to human factor or to environment, harmonic energy loss that the equipment operational factor is relevant.This component mainly is subject to equipment loss and produces in operational process.F
adjust(t, E
tHD) can be used as the real-time adjustment of the operational version decision-making of equipment, carry out in real time data analysis, remembered and done the dynamic harmonic loss.
Computing formula for this component has:
F
adjust(t, E
tHD)=E '=E
tHD-E
base=(1-k
base) * E
tHD(3)
And set k'=f (t)=a
0+ a
1t+a
2t
2(5)
For the k' value, in the regular hour interval, the lifting of k' value, be the performance that the dynamic harmonic energy consumption increases.Now illustrated that there is a large amount of unconventional harmonic components in the electricity consumption loop.May be due to equipment aging, the situations such as unreasonable allocation of power load equipment, make the quality of power supply and power consumption efficiency sharply descend.
Therefore, we obtain E in N
tHDand E
basevalue, calculate the development trend of k' value by formula (4), i.e. a series of some set { (1, k
1), (2, k
2), (3, k
3) ... (n, k
n), wherein 1,2 ..., n represents a year umber, k
1, k
2... k
nrepresent the k' value in corresponding time.
Utilize above-mentioned historical data, by the binomial fitting of least square method, can determine above-mentioned a
0, a
1, a
2value.And, binomial (5) differential is obtained:
Get the maximal value that M is sampling instant, can obtain the M maximum pace of change of dynamic loss rate constantly
L=a
1+2a
2M
Utilize the span of above-mentioned L and k', determining apparatus harmonic loss situation.Wherein, as shown in the table:
| Sequence number | Formula | Explanation |
| 1 | L<0.01 | The dynamic harmonic proportion of goods damageds are steady, and fluctuation within a narrow range is not pointed out |
| 2 | 0.01<L<0.1 | The dynamic harmonic proportion of goods damageds change obviously, alerting |
| 3 | L>0.1 | The dynamic harmonic proportion of goods damageds sharply change, prompt alarm |
For changing the unconspicuous check processing that do not need to carry out.
For should rectifying and improving in time of significant change, contain its growth after a management cycle completes.
Should rectify and improve for jumpy immediately, to avoid the further deterioration of equipment or management, cause serious consequence.
And, for each instantaneous value of k' constantly, should follow following principle:
| Sequence number | Formula | Explanation |
| 1 | k'<0.2 | Dynamic harmonic proportion of goods damageds rate, in zone of reasonableness, is not pointed out |
| 2 | 0.2<k'<0.5 | Dynamic harmonic proportion of goods damageds rate in abnormal reason scope, alerting |
| 3 | k'>0.5 | The dynamic harmonic proportion of goods damageds are excessive, prompt alarm, emergency treatment |
Below provide concrete case analysis:
1, data sampling in July for example (data are normal):
We from 1 day July in 2009, have carried out the collecting work of the energy consumption data of 1 month by a definite date in actual items to the baggage elevator of the 50kw in megastore, Shanghai.Be below the typical data in July:
Carrying out binomial fitting for these group data can obtain:
k'=0.0242-0.00009772t+0.0000067t
2
The matching binomial curve, as shown in Figure 2.
Its L value end is
L=0.0000134t-0.00009772=0.00031768<0.01
Analyze L known, the pace of change of the dynamic harmonic proportion of goods damageds is normal, and makes a general survey of in the whole sampling period, 0.2 k' component do not occur being greater than, so we can think, within this sampling period, the harmonic wave of this equipment is in a normal scope.Do not need to carry out any prompting.
2, data sampling in August for example (data slowly increase):
Data acquisition following (only providing k') to August:
So, the quafric curve that institute's matching obtains is:
k'=0.0123-0.00117t+0.00015t
2
Functional image as shown in Figure 3.
Its time differential is:
L=0.0003t+0.00117
For the data slope L in August, its value is
L=0.01047>0.01
Because gained L value is greater than 0.01, mean that the pace of change of the dynamic harmonic proportion of goods damageds presents rising tendency, need alarm notification
Observe its tendency data and curve, also can find, in August, the k' value is mild to be increased.Can think and need the native system state in the inferior health operation at present periodically to adjust
Within the whole service cycle, the k' value does not surpass 0.2, can think that the k' value does not present paroxysmal abnormality.
3, data sampling in October for example (data abrupt change):
So, it is carried out to secondary and obtains function to matching:
k'=-0.0445+0.019t-0.000313t
2
Functional image as shown in Figure 4.
Its time differential is:
L=-0.000626t+0.019
For the data slope L in October, can obtain its value and be
L=0.00022<0.01
Gained L value is less than 0.01, and the pace of change of the dynamic harmonic proportion of goods damageds is not obvious, does not need alarm notification.
But, within the whole service cycle, the k' value surpasses in a large number 0.2, k' value and presents the paroxysmal abnormality growth.Adjustment equipment operation at once.
The invention reside in the harmonic wave energy consumption measurement equipment that utilizes, gather the harmonic wave energy consumption of electromechanical equipment, distribution situation on different each frequency ranges, with the relations of distribution between principal component and other each component of degree n ns, the judgement of the variation tendency on a time period, analyze and judge whether that the loss that exists equipment harmonic loss to bring is abnormal, with the prompting user, equipment is rectified and improved and adjusted, thereby reach energy-conservation purpose.More can make quickly response, even the reminding user rectification.
The efficiency system management software of designing and developing according to the present invention can be saved the electricity cost more than at least millions of for this commercial building in whole life cycle.
Claims (2)
1. the analytical approach of an electromechanical equipment harmonic wave energy consumption mainly comprises the following steps:
The first step, the harmonic wave total losses E of setting electromechanical equipment
tHDby static harmonic loss E
baseform with dynamic harmonic loss E ' two parts, wherein set static harmonic loss E
base=k
base* E
tHD, dynamic harmonic loss E '=E
tHD-E
base=k'*E
tHD, k
basemean respectively static harmonic loss coefficient and dynamic harmonic loss factor with k'; And set k'=f (t)=a
0+ a
1t+a
2t
2, a wherein
0, a
1, a
2for the constant term coefficient, t is time variable, by above-mentioned, can be derived:
Second step, obtain the harmonic wave total losses E of electromechanical equipment N sampling time section in work period
tHDwith static harmonic loss E
base, calculate the k' value of N sampling time section by formula (1), and form ordered series of numbers set { (1, k
1), (2, k
2), (3, k
3) ... (n, k
n), wherein 1,2 ..., n represents each sampling time section, k
1, k
2... k
nrepresent the k' value of corresponding sampling time section;
The 3rd step, carry out the binomial fitting of least square method by the k' value of N sampling time section that second step is obtained, determine a
0, a
1, a
2numerical value;
The 4th step, to binomial k'=f (t)=a
0+ a
1t+a
2t
2differential obtains:
it means the rate of change of dynamic harmonic loss, and sets the sampling time section that M is maximum in the described work period, calculates L=a
1+ 2a
2the value of M;
The 5th step, by judging the value of k' and L in the described work period, analyze electromechanical equipment harmonic loss situation, and carry out respective handling.
2. the analytical approach of electromechanical equipment harmonic wave energy consumption as claimed in claim 1, wherein in the 5th step, for a described work period, when L<0.01, mean that the dynamic harmonic proportion of goods damageds are steady, and fluctuation within a narrow range, do not need to be pointed out; When 0.01<L<0.1, mean that the dynamic harmonic proportion of goods damageds change obviously, alerting, should rectification in time after the described work period completes, and containment L increases; As L > 0.1 the time, the dynamic harmonic proportion of goods damageds sharply change, and prompt alarm should be rectified and improved immediately; And, for each sampling instant of a described work period, when k'<0.2, mean that dynamic harmonic proportion of goods damageds rate, in zone of reasonableness, does not need to be pointed out, when 0.2<k'<0.5, mean that dynamic harmonic proportion of goods damageds rate is in abnormal ranges, alerting; As k' > 0.5 the time, mean that the dynamic harmonic proportion of goods damageds are excessive, prompt alarm, need emergency treatment.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104700328A (en) * | 2015-04-08 | 2015-06-10 | 珠海派诺科技股份有限公司 | Heating and ventilating pipeline loss analysis method based on self-learning model |
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2013
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| US20060044157A1 (en) * | 2004-08-27 | 2006-03-02 | Itron Electricity Metering, Inc. | Firmware power cycle routine |
| US20120209552A1 (en) * | 2005-01-27 | 2012-08-16 | Electro Industries/Gauge Tech | Intelligent electronic device with enhanced power quality monitoring and communication capabilities |
| CN101458277A (en) * | 2009-01-13 | 2009-06-17 | 中国计量科学研究院 | Three phase electric energy measurement apparatus |
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Cited By (1)
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