CN102394496A - Electric energy quality comprehensive assessment method of distributed generating system and micro power grid - Google Patents
Electric energy quality comprehensive assessment method of distributed generating system and micro power grid Download PDFInfo
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Abstract
The invention relates to the electric energy quality comprehensive assessment, aims at providing an electric energy quality comprehensive assessment method of a distributed generating system and a micro power grid. The method comprises the following steps of: monitoring synchronized grid public coupling points to obtain monitoring data of each electric energy quality index; normalizing the data by using a maximin method; establishing a hierarchy assessment model and defining a corresponding sudden-change decision model; and obtaining the sudden-change grade of each layer from the lower layer to the top layer according to the sudden-change decision model, and finally obtaining the sudden-change grade of each synchronized grid public coupling point, that is, the electric energy quality comprehensive assessment index, wherein the greater the value is, the higher the grade of the corresponding electric energy quality is. The method provided by the invention has simple computation process and considers the nonlinear factor in the system, can provide the quantized index and basis for a power grid operator who fixes a price of the power to a distributed generating party according to the quality, and provides a reference target for the electric energy quality management. A corresponding compensating device can be mounted on the basis of the assessment method so as to flexibly customize the electric energy quality of the micro power grid.
Description
Technical field
The present invention relates to a kind of distributed generation system and little electrical network electric energy quality synthesis evaluation method, belong to electrical engineering and electric energy quality synthesis evaluation field.
Background technology
The continuous consumption of fossil fuel has caused that not only the day of energy resource supply is becoming tight, and has brought serious environmental problem.Requirements such as energy-saving and emission-reduction, low-carbon (LC), green electric power supply have brought great challenge to supply of electric power.In addition, introspect fragility that big electrical network comes out and a series of accidents of having a power failure on a large scale that caused thereof, show that distributed power generation can improve the stability of system to a certain extent.These factors have excited electric power system to regenerative resource and the increasing concern of distributed generation system jointly.In recent years, large-scale wind electricity field, photovoltaic electric field, energy-accumulating power station distributed electricity generation system are applied in succession.Simultaneously, integrated little electric power network technique of distribution type renewable energy, energy storage and localised load as a kind of local power system, has obtained fast development with the advantage of its diverse in function, flexible operation.
Along with the fast development of distributed generation system and little electrical network, fair and just open, workable electric energy quality synthesis evaluation method seems very necessary for operation of power networks side.On the one hand, because regenerative resource has characteristics such as randomness, intermittence and uncertainty, itself and network process generally need a large amount of power electronics interface arrangements realize energy conversion, give and the site quality of power supply has been brought acid test.Particularly, local non-linear, idle and uncompensated load can further worsen the also quality of power supply of site.The ratio that accounts for power system capacity along with distributed generation system and little electrical network is increasing, and its influence to the quality of power supply also may be more and more heavier.On the other hand, be electricity market development in future trend by quality of power supply price, the quality of quality of power supply overall target will be the important evidence that fixes price according to quality.When the time comes, the height of confirming to depend on to a certain extent its quality of power supply of each distributed generation system and little electrical network rate for incorporation into the power network.For this reason, need find an effective electricity quality evaluation method.Through the comprehensive assessment of the quality of power supply, obtain a quantizing factor, as the technical indicator and the voucher of revising rate for incorporation into the power network of the comprehensive assessment quality of power supply, realize the branch matter valuation of electric energy.Therefore, fair and just disclosed electric energy quality synthesis evaluation method not only can provide the important evidence of electric energy branch matter valuation for operation of power networks side, and can also be as the reference target of generating side's power quality controlling.Simultaneously; The assessment result of its quality of power supply in time is provided to distributed generation system and little electrical network; Not only can promote the transparency of electricity market; Establish good corporate image, and activation profile formula generating side participates in the improvement of power quality problem effectively, gives full play to its enthusiasm and initiative.
Assess the quality of power supply objectively, quantitatively, all sidedly, be the common target of pursuing of quality of power supply worker always.More existing documents are inquired into the electricity quality evaluation method, for useful exploration has been made in the quantitative assessment of the quality of power supply.The existing method of electricity quality evaluation mainly comprises: gray Analysis method, probability statistics and vector algebra method, Matter Analysis method, Field Using Fuzzy Comprehensive Assessment, support vector machine method etc.There is bigger subjectivity in existing most of method on the confirming of model parameter, too much depend on expert's knowledge and experience.Yet the difference of these prior informations may cause different assessment results, has bigger uncertainty, poor operability.In addition, a lot of methods or calculation of complex are more consuming time, or adopt simple linear weighted function and ignored the non-linear factor in the system.So these methods often are difficult to satisfy the requirement to objectivity, real-time and reliability of distributed generation system and little electrical network.These factors make that the electric energy quality synthesis evaluation method that can in actual field, be applied is actually rare in fact.
Summary of the invention
The technical problem that the present invention will solve is; Overcome the deficiency of prior art; A kind of electric energy quality synthesis evaluation method based on the sudden change decision-making is provided; Can satisfy distributed generation system and little electrical network is simple and reliable workable to procedure, to the strong requirement of the fair and just property of methods and results objectivity.
Be the technical solution problem, the technical scheme that the present invention adopts is:
A kind of distributed generation system and little electrical network electric energy quality synthesis evaluation method are provided, comprise step:
(1) point of common coupling that is incorporated into the power networks of distributed generation system and little electrical network is monitored, obtain each item power quality index Monitoring Data;
(2) data of utilizing maximin method that last step is obtained are carried out normalization and are handled;
(3) set up the layering assessment models according to the Monitoring Data after handling, and clear and definite corresponding sudden change decision model;
(4) according to the sudden change decision model, ask for the sudden change progression of each layer to top layer from low layer, the sudden change progression of the point of common coupling that finally respectively is incorporated into the power networks, i.e. electric energy quality synthesis evaluation index, quality of power supply grade of the bigger then correspondence of this value is high more.
Among the present invention; Step (1) realizes through following manner: utilize the CAN bus to be installed on respectively to be incorporated into the power networks the equipment for monitoring power quality at point of common coupling place to link to each other with the control terminal of power-management centre; By the GPS of each equipment for monitoring power quality realize to the time function, make it regularly and simultaneously send the power quality index Monitoring Data to the control centre.
Carry out in the step of the present invention (2) also comprising the step that data are discerned and transformed before normalization handles:, detect whether fault of monitoring device if data exception is then analyzed unusual reason; If data are normal, be the used data format of subsequent treatment then with the data conversion of obtaining.
Among the present invention, in the said layering assessment models of step (3): top layer is the electric energy quality synthesis evaluation index, and progression x promptly suddenlys change
cGround floor is three correlative factors of electricity quality evaluation, and its decision objective is designated as frequency factor x respectively
F1, factors of voltage x
F2, three-phase imbalance factor x
F3The second layer specifically is refined as each single index of the quality of power supply, is respectively: frequency departure x
S1, voltage deviation x
S2, the fluctuation x
S3, flickering x
S4Harmonic x
S5With three-phase imbalance x
S6
Among the present invention, according to the monitoring requirements of actual power quality index, to each factor expansion or simplification of said layering assessment models, to satisfy different application scenarios.
Among the present invention, obtain the ordering of its quality of power supply quality with the descending sort of the point of common coupling place electric energy quality synthesis evaluation index that respectively is incorporated into the power networks.
Among the present invention, the point of common coupling place electric energy quality synthesis evaluation index that respectively is incorporated into the power networks numerically is divided into the interval of plurality of continuous, and is defined as ability credit ratings such as corresponding, and the grade under the quality of power supply at the point of common coupling place that respectively is incorporated into the power networks in view of the above.
Among the present invention, the said sudden change decision model of step (3) is by the structures shape of layering assessment models, is in folding sudden change, cusp sudden change, dovetail sudden change or the butterfly sudden change one or more.
As goal of the invention further; The present invention also provides a kind of power quality treatment method according to the electric energy quality synthesis evaluation result; Be at the point of common coupling place that is incorporated into the power networks that needs improve the quality of power supply quality of power supply adjusting device to be installed, said quality of power supply adjusting device is any one or a few in the following apparatus: reactive power compensator, parallel/series is active or passive filtration unit, complex function combining inverter with power quality controlling ability.
With respect to prior art, beneficial effect of the present invention is mainly reflected in:
1, the present invention is that theoretical foundation realizes the comprehensive assessment to distributed generation system and little electrical network quality of power supply with sudden change decision-making, calculates easyly, and can take into account the non-linear factor in the system.In addition, can effectively suppress the man's activity of subjective factor to assessment result, the result is more fair, and objective and fair is reliable.
2,, can realize distributed power generation side is implemented to fix price according to quality quantizating index and foundation are provided for operation of power networks side through comprehensive assessment and ordering to a plurality of distributed generation systems and little electrical network and the site quality of power supply in the regional power grid.
3, under the just and fair disclosed electric energy quality synthesis evaluation method background of the present invention, can effectively transfer the enthusiasm that distributed power generation side participates in power quality controlling, this method also provides reference target for its power quality controlling simultaneously.
4, the present invention is quantitative analysis with the quality of power supply of distributed generation system and little electrical network from the qualitative description distillation.With this appraisal procedure is foundation, if corresponding compensation equipment is installed in distributed generation system and little electrical network, can realize the flexibility customization to little electrical network quality of power supply.With the comprehensive assessment index is target, can obtain the optimum capacity configuration scheme and the optimized operation scheme thereof of compensation equipment.
Description of drawings
Fig. 1 is implementation framework figure of the present invention.
The concrete steps flow chart of Fig. 2 the inventive method.
Fig. 3 is the layering assessment models of a certain exemplary power quality.
Fig. 4 is several kinds of typical catastrophic models.
Embodiment
Below in conjunction with accompanying drawing and embodiment the present invention is further described.
1, the equipment for monitoring power quality that utilizes the CAN bus will be installed on distributed generation system and little electrical network and place, site links to each other with the power-management centre; By the GPS of monitoring device to the time function; Make it regularly and simultaneously send the electric energy quality monitoring data result to the control centre, as shown in Figure 1.
Equipment for monitoring power quality is very ripe power measurement equipment, and product type is very many, can carry out type selecting according to the monitoring purpose during practical implementation, and the present invention no longer enumerates.
2, Fig. 2 has provided the flow chart of the inventive method.Step 201, the control centre discerns abnormal data after receiving the data that monitoring device transmits.If data exception, analyze reason, detect whether fault of monitoring device; If data are normal, be the used data format of subsequent analysis with data conversion.
3, step 202 because the data volume of each item power quality index possibly have different units, does not have comparativity.At first data are carried out normalization and handle, adopting the most frequently used here also is the simplest maximin method.Forward type index for being the bigger the better has
For more little good more negative sense type index, have
Wherein, x
IjIt is the initial data of the j item power quality index of i monitoring point;
Minimum value for j item index in all monitoring points; In like manner,
Maximum for j item index in all monitoring points; y
IjBe the data after the minimax conversion, it is worthy of note that each index after the conversion is forward type index.
4, step 203 by the index item of the monitoring quality of power supply, is set up layering assessment models and clear and definite corresponding catastrophic model.Fig. 3 has provided a certain typical layering assessment models, can be known by Fig. 3: the ground floor in the hierarchical mode has been contained three correlative factors of electricity quality evaluation abstractively, and its decision objective is designated as frequency factor x respectively
F1, factors of voltage x
F2, three-phase imbalance factor x
F3The second layer specifically refine to each single index of the quality of power supply, comprising: frequency departure x
S1, the deviation x of voltage
S2, the fluctuation x
S3, flickering x
S4Harmonic x
S5, three-phase imbalance x
S6Fig. 4 has provided several frequently seen catastrophic model, and wherein (a) is folding sudden change, (b) is the cusp sudden change, (c) is the dovetail sudden change, (d) is the butterfly sudden change.Comparison diagram 3 can be known with Fig. 4: 4 indexs of factors of voltage constitute MODEL OF BUTTERFLY CATASTROPHE; Frequency departure, three-phase imbalance constitute folding catastrophic model respectively; Constitute the dovetail catastrophic model again between frequency factor, factors of voltage and the three-phase imbalance factor.Certainly, hierarchical mode shown in Figure 3 can be expanded or simplifies according to the monitoring requirements of actual power quality index easily, to satisfy different application scenarios.
5, step 204 by sudden change decision model shown in Figure 4, is asked for the sudden change progression of each layer from low layer to top layer, finally calculates electric energy quality synthesis evaluation index (sudden change progression x of each and site
c).Here, at first provide the computing formula of sudden change decision-making,, have for folding sudden change decision model
x
a=a (3)
For cusp sudden change decision model, have
For dovetail sudden change decision model, have
For butterfly sudden change decision model, have
The serving as reasons result of sudden change decision-making formula asks for total sudden change membership function value of system, needs certain principle of decision-making.In multiple target sudden change decision-making, from the objectivity consideration of convenience of calculation and analysis, generally adopt complementary principle of decision-making, promptly in the model each subsystem variable (like x
a, x
b, x
c, x
dBut) between the phase trans-substitution, so, the state variable x value of subsystem is got the mean value of each control variables, also promptly:
x=(x
a+x
b+x
c+x
d)/4 (7)
For hierarchical mode shown in Figure 3, calculate the progression that respectively suddenlys change of ground floor
x
f1=x
s1 (8)
x
f3=x
s6 (9)
Wherein, N
1=4!=24 is x
S2, x
S3, x
S4, x
S5Full arrangement kind number; A is all full arrangements of 1~4, A
iBe i group arranging situation, A
Ij{ 2,3,4,5} (j=1,2,3,4) is j the element that the i group is arranged to ∈.Similarly, can get the sudden change progression x of comprehensive assessment index
cFor
Similarly, N
2=3!=6 is x
F1, x
F2, x
F3Full arrangement kind number; B is all full arrangements of 1~3, B
iBe i group arranging situation, B
Ij{ 1,2,3} (j=1,2,3) is j the element that the i group is arranged to ∈.
6,, can obtain the electric energy quality synthesis evaluation index x of each monitoring point to the operation of the data repeating step 5 of all monitoring points
cAt last, with each monitoring point x
cThe size of index can obtain each also good and bad situation of the site quality of power supply for foundation, and quality of power supply grade of the big more correspondence of this value is high more.
Descending sort with the point of common coupling place electric energy quality synthesis evaluation index that respectively is incorporated into the power networks can obtain the good and bad ordering of its quality of power supply.The point of common coupling place electric energy quality synthesis evaluation index that respectively is incorporated into the power networks numerically is divided into the interval of plurality of continuous, and is defined as ability credit ratings such as corresponding, the grade under the quality of power supply at the point of common coupling place that can respectively be incorporated into the power networks.
7, step 205, the control centre upgrades the electricity quality evaluation result through the Internet, if be necessary to upgrade simultaneously the real-time rate for incorporation into the power network of each distributed generation system and little electrical network.
Be that example further specifies operating process of the present invention with certain distribution system that comprises distributed generation system and little electrical network below.This distribution system comprises 7 distributed generation systems to be assessed and the little electrical network point of common coupling that is incorporated into the power networks, and the electric energy quality monitoring data after the control centre is received and changed by step 2 are as shown in table 1.Can find out from table 1, have contradiction between the ranking results of each single index, can't be only draw its comprehensive assessment result from each single index of the quality of power supply.Can obtain the sudden change series indices x of each monitoring point electric energy quality synthesis evaluation by layering assessment models shown in Figure 3 and above step 3~step 7
c, as shown in table 2.It is worthy of note that each power quality index is the negative sense type, utilize formula (2) that it is carried out normalization and handle.By x
cSize can confirm that the ordering of each monitoring point quality of power supply is: 5f monitoring point, 1f monitoring point, 6f monitoring point, 7f monitoring point, 3f monitoring point, 4f monitoring point, monitoring point 2, wherein, " f " is priority number.
Table 1 is respectively monitored the Monitoring Data of the quality of power supply of bus
Table 2 is respectively monitored bus electric energy quality synthesis evaluation result
Claims (9)
1. a distributed generation system and little electrical network electric energy quality synthesis evaluation method comprise step:
(1) point of common coupling that is incorporated into the power networks of distributed generation system and little electrical network is monitored, obtain each item power quality index Monitoring Data;
(2) data of utilizing maximin method that last step is obtained are carried out normalization and are handled;
(3) set up the layering assessment models according to the Monitoring Data after handling, and clear and definite corresponding sudden change decision model;
(4) according to the sudden change decision model, ask for the sudden change progression of each layer to top layer from low layer, the sudden change progression of the point of common coupling that finally respectively is incorporated into the power networks, i.e. electric energy quality synthesis evaluation index, quality of power supply grade of the bigger then correspondence of this value is high more.
2. method according to claim 1; It is characterized in that; Step (1) realizes through following manner: utilize the CAN bus to be installed on respectively to be incorporated into the power networks the equipment for monitoring power quality at point of common coupling place to link to each other with the control terminal of power-management centre; By the GPS of each equipment for monitoring power quality realize to the time function, make it regularly and simultaneously send the power quality index Monitoring Data to the control centre.
3. method according to claim 1 is characterized in that, carries out in the step (2) also comprising the step that data are discerned and transformed before normalization handles: if data exception is then analyzed unusual reason, detect whether fault of monitoring device; If data are normal, be the used data format of subsequent treatment then with the data conversion of obtaining.
4. method according to claim 1 is characterized in that, in the said layering assessment models of step (3): top layer is the electric energy quality synthesis evaluation index, and progression x promptly suddenlys change
cGround floor is three correlative factors of electricity quality evaluation, and its decision objective is designated as frequency factor x respectively
F1, factors of voltage x
F2, three-phase imbalance factor x
F3The second layer specifically is refined as each single index of the quality of power supply, is respectively: frequency departure x
S1, voltage deviation x
S2, the fluctuation x
S3, flickering x
S4Harmonic x
S5With three-phase imbalance x
S6
5. method according to claim 4 is characterized in that, according to the monitoring requirements of actual power quality index, to each factor expansion or simplification of said layering assessment models, to satisfy different application scenarios.
6. method according to claim 1 is characterized in that, comprises that also the descending sort with the point of common coupling place electric energy quality synthesis evaluation index that respectively is incorporated into the power networks obtains the good and bad ordering of its quality of power supply.
7. method according to claim 1; It is characterized in that; The point of common coupling place electric energy quality synthesis evaluation index that respectively is incorporated into the power networks numerically is divided into the interval of plurality of continuous; And be defined as ability credit ratings such as corresponding, and the grade under the quality of power supply at the point of common coupling place that respectively is incorporated into the power networks in view of the above.
8. method according to claim 1 is characterized in that, the said sudden change decision model of step (3) is by the structures shape of layering assessment models, is in folding sudden change, cusp sudden change, dovetail sudden change or the butterfly sudden change one or more.
9. power quality treatment method according to the electric energy quality synthesis evaluation result; Be at the point of common coupling place that is incorporated into the power networks that needs improve the quality of power supply quality of power supply adjusting device to be installed, said quality of power supply adjusting device is any one or a few in the following apparatus: reactive power compensator, parallel/series is active or passive filtration unit, complex function combining inverter with power quality controlling ability.
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Cited By (15)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102636713A (en) * | 2012-04-05 | 2012-08-15 | 上海市电力公司 | Monitoring method for electric energy quality of distributed wind power generation |
CN103489066A (en) * | 2013-09-13 | 2014-01-01 | 深圳供电局有限公司 | Method for analyzing monitoring information and data of electric energy quality transient event salient region |
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CN109802443A (en) * | 2019-01-25 | 2019-05-24 | 中国科学院电工研究所 | The plesiochronous power grid measuring system power grid controlling device configuration method of distribution based on the output of photovoltaic full power |
CN109816201A (en) * | 2018-12-19 | 2019-05-28 | 中国农业大学 | A kind of characterizing method of polyisocyanate mass-energy source homogeneity coupling |
CN110377465A (en) * | 2019-06-26 | 2019-10-25 | 江苏大学 | A kind of method for detecting abnormality of vehicle-mounted CAN bus |
CN111262239A (en) * | 2020-02-19 | 2020-06-09 | 中国能源建设集团江苏省电力设计院有限公司 | Energy storage power station site selection scheme evaluation method, device and system |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2001128360A (en) * | 1999-08-17 | 2001-05-11 | Mitsubishi Electric Corp | Power control apparatus |
CN101079184A (en) * | 2007-05-18 | 2007-11-28 | 华南理工大学 | CAN bus based electric energy quality real-time monitoring and evaluation system |
CN101718822A (en) * | 2009-11-13 | 2010-06-02 | 上海市电力公司 | Method for processing abnormal data of electrical energy quality |
CN101917017A (en) * | 2010-07-21 | 2010-12-15 | 北京交通大学 | Single-stage boosting/reducing energy storage type photovoltaic grid-connected power generation control system |
-
2011
- 2011-07-21 CN CN 201110206251 patent/CN102394496B/en active Active
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2001128360A (en) * | 1999-08-17 | 2001-05-11 | Mitsubishi Electric Corp | Power control apparatus |
CN101079184A (en) * | 2007-05-18 | 2007-11-28 | 华南理工大学 | CAN bus based electric energy quality real-time monitoring and evaluation system |
CN101718822A (en) * | 2009-11-13 | 2010-06-02 | 上海市电力公司 | Method for processing abnormal data of electrical energy quality |
CN101917017A (en) * | 2010-07-21 | 2010-12-15 | 北京交通大学 | Single-stage boosting/reducing energy storage type photovoltaic grid-connected power generation control system |
Non-Patent Citations (3)
Title |
---|
周林等: "用模糊神经网络模型评估电能质量", 《高电压技术》 * |
张冰等: "基于突变理论的舰船发电机组运行状态评价", 《中国造船》 * |
马艺玮等: "风电场电能质量分析与评估", 《控制理论与应用》 * |
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CN111262239B (en) * | 2020-02-19 | 2022-06-10 | 中国能源建设集团江苏省电力设计院有限公司 | Energy storage power station site selection scheme evaluation method, device and system |
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