CN105243605A - Irradiation similarity based evaluation method for light and power abandonment amount of large photovoltaic power generation cluster - Google Patents

Abstract

The invention discloses an irradiation similarity based evaluation method for a light and power abandonment amount of a large photovoltaic power generation cluster. The method comprises: by using irradiation similarity, dynamically grouping photovoltaic power stations; and calculating the light and power abandonment amount of each cluster obtained by dynamical grouping. According to the scheme, the shortcomings in the prior art of complicated calculation process, small applicable range of a calculation mode, difficulty in obtaining calculation data, low accuracy of a calculation result can be overcome, so that the advantages of simple calculation process, wide applicable range of the calculation mode, rapidness for calculation and high accuracy of the calculation result can be realized.

Description

Large-sized photovoltaic generating cluster based on irradiation similarity abandons optical quantum appraisal procedure

Technical field

The present invention relates to photovoltaic generation and abandon optical quantum assessment technology field, particularly, the large-sized photovoltaic generating cluster related to based on irradiation similarity abandons optical quantum appraisal procedure.

Background technology

Photo-voltaic power generation station abandons that optical quantum refers to the restriction of powered network transmission channel, peak load regulation network needs, power network safety operation needs and the factor such as grid equipment maintenance, fault affects, and photo-voltaic power generation station can be sent out and fail the electricity that sends.

Abandon a kind of universal phenomenon in only photovoltaic generation large-scale development process, with in hydropower process to abandon water similar.Large-sized photovoltaic generating base area coverage is wide, generally comprise multiple photovoltaic plant or photovoltaic power station group, the factors such as limit restriction, Real-time Load balance and photovoltaic plant equipment of itself fault, maintenance of sending due to electrical network transfer passage all can cause light of abandoning to a certain degree, thus optical quantum is abandoned in generation.The understanding of correct science is abandoned optical issue and is abandoned with reasonable manner computational analysis health, the steady development that optical quantum will contribute to large-scale photovoltaic generating, contributes to promoting dispatching of power netwoks operation level, promotes the coordinated development of photovoltaic generation planning and Electric Power Network Planning, improves clean energy resource utilization factor and utilize level.

At present; because large-scale photovoltaic generating is just risen in China; therefore domestic photovoltaic generation industry not yet forms standard to the assessment algorithm abandoning optical quantum; existing is generally calculate exerting oneself and the difference of installed capacity of photovoltaic plant to abandoning the method that optical quantum calculates, and then carries out integration to it and obtains abandoning optical quantum.But for million kilowatt photovoltaic generation base, the actual simultaneity factor of exerting oneself of each photovoltaic plant is general lower, therefore calculates in this way and generally can cause abandoning the inaccurate of optical quantum calculating.

Before this, the patent No. is in the patent documentation of 201310168821.1, propose a kind of photovoltaic base based on Real-Time Optical monitoring resource network and abandon optical quantum appraisal procedure, its problem is mainly that the construction of light resources monitoring network is a long process, light resources monitoring network may not yet be built in a lot of photovoltaic generation base, for above-mentioned situation, the method lost efficacy.

The patent No. is in the patent documentation of 201310168700.7, optical quantum appraisal procedure is abandoned in the large-sized photovoltaic generating base proposed based on benchmark photovoltaic component, its deficiency is mainly, the benchmark photovoltaic component that some power station is not fixed, or, there is fault and mark post photovoltaic DC-to-AC converter data upload and to interrupt or to make mistakes etc. problem in the inadequate specification of benchmark photovoltaic component operational management.

At least exist in prior art computation process complexity, the account form scope of application little, calculate the defects such as the large and result of calculation poor accuracy of data acquisition difficulty, the method is using effectively supplementing as prior art.

Summary of the invention

The object of the invention is to, for the problems referred to above, the large-sized photovoltaic generating cluster proposed based on irradiation similarity abandons optical quantum appraisal procedure, with solve utilize irradiation similarity dynamically to hive off to photovoltaic plant and calculate each cluster abandon optical quantum, computing cluster abandons optical quantum more easily, improve the applicability and accuracy that calculate, reduce the problem of the error of calculation, thus reach that computation process is simple, the account form scope of application is large, data can be calculated and the effect such as result of calculation accuracy is good by quick obtaining.

For achieving the above object, the technical solution used in the present invention is: the large-sized photovoltaic generating cluster based on irradiation similarity abandons optical quantum appraisal procedure, comprising: utilize irradiation similarity dynamically to hive off to photovoltaic plant; What calculate the described each cluster that obtains of dynamically hiving off abandons optical quantum.

Wherein, utilize irradiation similarity dynamically to hive off to photovoltaic plant, comprising: each mark post photovoltaic plant is formed a subclass and cluster; For the photovoltaic plant of each non-mark post photovoltaic plant namely except mark post photovoltaic plant, irradiation similarity according to all mark post photovoltaic plants sorts, and selects the mark post photovoltaic plant that in all mark post photovoltaic plants, non-mark post photovoltaic plant irradiation similarity is the highest with this; Each non-mark post photovoltaic plant is joined non-mark post photovoltaic plant irradiation similarity is the highest with this mark post photovoltaic plant institute in the cluster.

Wherein, what calculate the described each cluster that obtains of dynamically hiving off abandons optical quantum, comprising: setting timing statistics section m and computing time interval t, this timing statistics section m is greater than interval t computing time, m and t is natural number; When timing statistics section m starts, the start capacity and the theory that obtain each mark post photovoltaic plant in interval t computing time are exerted oneself; In timing statistics section m, exert oneself according to the described start capacity obtained and theory, in acquisition interval t computing time, whole photovoltaic generation base abandons optical quantum; At the end of timing statistics section m, in acquisition timing statistics section m, whole photovoltaic cluster abandons optical quantum.

Further, when timing statistics section m starts, the start capacity and the theory that obtain each mark post photovoltaic plant in interval t computing time are exerted oneself, comprise: when timing statistics section m starts, obtained the start capacity of mark post photovoltaic plant by the photovoltaic plant photovoltaic generation real-time information of uploading in the t of interval once each computing time, calculate the average output coefficient in the t of each mark post photovoltaic plant interval computing time: wherein, P _ithat the actual of i-th mark post photovoltaic plant is exerted oneself, be the start capacity of i-th mark post photovoltaic plant, samp represents the set of mark post photovoltaic plant.

Wherein, in timing statistics section m, exert oneself according to the described start capacity obtained and theory, in acquisition interval t computing time, whole photovoltaic generation base abandons optical quantum, comprise: in timing statistics section m, exert oneself according to the described start capacity obtained and theory, calculate real-time start capacity in each photovoltaic cluster interval t each computing time and theory is exerted oneself; Exert oneself according to the described real-time start capacity calculated and theory, what obtain whole photovoltaic generation base abandons optical quantum.

Further, exert oneself according to the described start capacity obtained and theory, calculate the real-time start capacity in each photovoltaic cluster interval t each computing time, comprising: calculate the real-time start capacity utilizing irradiation similarity dynamically to hive off in each cluster and photovoltaic cluster interval t each computing time that obtain to photovoltaic plant: wherein, cluster _irepresent i-th photovoltaic plant cluster, suppose always to have the individual such cluster of n, C _jthe start capacity of a jth photovoltaic plant in i-th photovoltaic plant cluster, when photovoltaic plant start capacity upload break down or interrupt time, adopt the photovoltaic plant of interval t last computing time start shooting capacity replace.

Further, exert oneself according to the described start capacity obtained and theory, the theory calculated in each photovoltaic cluster interval t each computing time is exerted oneself, and comprising: the theory calculated in each photovoltaic cluster interval t each computing time is exerted oneself: $T_i={\stackrel{\‾}{\mathrm{\α}}}_i\×C_{cluster,i}.$

Further, exert oneself according to the described real-time start capacity calculated and theory, what obtain whole photovoltaic generation base abandons optical quantum, comprising: by energy management system, to obtain in each photovoltaic cluster interval t each computing time average goes out force value R in real time _i, when theory goes out force value T _ibe greater than on average actual go out force value R _itime, in each computing time interval t, the optical quantum of abandoning in whole photovoltaic generation base is: $Q_{i,k}=\left\{\begin{array}{cc}(T_i-R_i)t& \begin{array}{cc}if& (T_i>R_i)\end{array}\\ 0& else\end{array}\right.$

Wherein, at the end of timing statistics section m, in acquisition timing statistics section m, whole photovoltaic cluster abandons optical quantum, comprise: judge whether to arrive the timing statistics section m end time: if do not arrive the timing statistics section m end time, then the start capacity and the theory that obtain each mark post photovoltaic plant in next one interval t computing time are exerted oneself; If arrived the timing statistics section m end time, then terminate the acquisition that start capacity and the theory of each mark post photovoltaic plant in computing time interval t are exerted oneself, abandon optical quantum according to whole photovoltaic generation base in computing time interval t, in timing statistics section m whole photovoltaic cluster abandon optical quantum: wherein, k=1 is the start time of abandoning optical quantum statistics, and k=m is the end time of abandoning optical quantum statistics, and m is natural number, and w is the number of photovoltaic cluster; Photovoltaic plant single game capacity is in units of MW, and the unit abandoning optical quantum is MWh.

Large-sized photovoltaic based on the irradiation similarity generating cluster of various embodiments of the present invention abandons optical quantum appraisal procedure, owing to comprising: utilize irradiation similarity dynamically to hive off to photovoltaic plant; What calculate the described each cluster that obtains of dynamically hiving off abandons optical quantum; Thus can overcome that computation process in prior art is complicated, the account form scope of application is little, calculate the defect of the large and result of calculation poor accuracy of data acquisition difficulty, to realize that computation process is simple, the account form scope of application is large, data and the good advantage of result of calculation accuracy can be calculated by quick obtaining.

Other features and advantages of the present invention will be set forth in the following description, and, partly become apparent from instructions, or understand by implementing the present invention.

Below by drawings and Examples, technical scheme of the present invention is described in further detail.

Accompanying drawing explanation

Accompanying drawing is used to provide a further understanding of the present invention, and forms a part for instructions, together with embodiments of the present invention for explaining the present invention, is not construed as limiting the invention.In the accompanying drawings:

Fig. 1 abandons optical quantum computational analysis process flow diagram in the present invention.

Embodiment

Below in conjunction with accompanying drawing, the preferred embodiments of the present invention are described, should be appreciated that preferred embodiment described herein is only for instruction and explanation of the present invention, is not intended to limit the present invention.

Generally, the real-time generated energy of the photovoltaic plant unit capacity that real-time irradiance is similar also should be similar, therefore utilize irradiation similarity dynamically to hive off to photovoltaic plant and calculate each cluster abandon optical quantum, can obtain abandoning optical quantum assessment comparatively accurately.

For the defect that prior art exists, according to the embodiment of the present invention, as shown in Figure 1, the large-sized photovoltaic generating cluster provided based on irradiation similarity abandons optical quantum appraisal procedure, to realize the advantage that optical quantum is abandoned in computational analysis accurately and reliably.The method comprises:

Following table is Jinchang, Gansu-Wuwei Prefecture's part photovoltaic plant, for following 20 photovoltaic plants, the method is described.

Step 1: each mark post photovoltaic plant forms a subclass, so 5 mark post photovoltaic plants form 5 clusters altogether, for each non-mark post photovoltaic plant (except mark post photovoltaic plant), sort by the irradiation similarity with all mark post photovoltaic plants, select the mark post photovoltaic plant that similarity is the highest, and join in the cluster of this mark post photovoltaic plant.

Step 2: the start capacity and the theory that calculate each mark post photovoltaic plant are exerted oneself.From the incipient stage, obtained the start capacity of mark post photovoltaic plant by photovoltaic plant photovoltaic generation real-time information of uploading once in every 5 minutes.Calculate the average output coefficient in each mark post photovoltaic plant 5 minutes:

${\stackrel{\‾}{\mathrm{\α}}}_i=\frac{P_i}{{\tilde{C}}_i},i\∈samp;$

Wherein, P _ithat the actual of i-th mark post photovoltaic plant is exerted oneself, be the start capacity of i-th mark post photovoltaic plant, samp represents the set of mark post photovoltaic plant.

According to above formula, the average output coefficient in mark post photovoltaic plant 5 minutes is:

Step 3: each photovoltaic cluster that calculation procedure 1 obtains real-time start capacity of every 5 minutes:

$C_{cluster,i}=\underset{j\∈{\mathrm{cluster}}_i}{\Σ}{C}_j;$

Wherein, cluster _irepresent i-th photovoltaic plant cluster, suppose always to have the individual such cluster of n, C _jthe start capacity of a jth photovoltaic plant in i-th photovoltaic plant cluster, when photovoltaic plant start capacity upload break down or interrupt time, adopt previous moment photovoltaic plant start capacity replace.

Cluster	Installed capacity (MW)	Start capacity (MW)
			Cluster 1	500	400
Cluster 2	20	20
			Cluster 3	20	20
Cluster 4	200	180
			Cluster 5	480	460

Step 4: calculate this photovoltaic cluster theory of every t minute and exert oneself:

$T_i={\stackrel{\‾}{\mathrm{\α}}}_i\×C_{cluster,i};$

Cluster	Installed capacity (MW)	Theory is exerted oneself (MW)
			Cluster 1	500	360.5
Cluster 2	20	20
			Cluster 3	20	20
Cluster 4	200	170.2
			Cluster 5	480	402

Step 5: by EMS (energy management system) obtain every 5 minutes of each photovoltaic cluster on average actual go out force value Ri, when theory goes out force value T _ibe greater than on average actual go out force value R _iin time, is thought and occurs abandoning light, therefore the abandoning optical quantum and can be expressed as of every 5 minutes whole photovoltaic generation bases:

$Q_{i,k}=\left\{\begin{array}{cc}(T_i-R_i)t& \begin{array}{cc}if& (T_i>R_i)\end{array}\\ 0& else\end{array}\right.;$

This energy management system, can adopt the Regulation system that in electric system, dispatching office uses.

Step 6: judge whether to arrive the statistics end time, if do not arrive the statistics end time, then return step 1, if arrive the termination time, then enter step 7.

Step 7: the optical quantum of abandoning therefore in whole photovoltaic cluster certain hour section is expressed as:

$Q=\underset{k=1}{\overset{m}{\Σ}}\underset{i=1}{\overset{w}{\Σ}}{Q}_{i,k};$

Wherein, j=1 is the start time of abandoning optical quantum statistics, and j=1440 is the end time of abandoning optical quantum statistics, and w=5 is the number of photovoltaic cluster; Photovoltaic plant single game capacity is in units of MW, and the unit abandoning optical quantum is MWh.

According to calculating, 5 photovoltaic plant clusters optical quantum of abandoning of 1 day is 655.89MWh.

In one embodiment, when photovoltaic cluster is exerted oneself by limited time, mark post power station does not participate in the limited adjustment of load, remains normal power generation state; When mark post photovoltaic plant needs to shut down, then rejected from the set of mark post photovoltaic plant in this power station, abandon optical quantum by all the other mark post photovoltaic plants, what calculate whole cluster abandons optical quantum.

Through a large amount of verification experimental verifications, the solution of the present invention, assessed the theoretical capacity of whole photovoltaic cluster by each mark post photovoltaic power station power generation amount, by with the comparison of actual electricity obtain this photovoltaic cluster corresponding abandon wind-powered electricity generation amount, reach the object accurately calculating and abandon optical quantum.

Patent (201310168821.1) proposes to abandon optical quantum appraisal procedure based on the photovoltaic base of Real-Time Optical monitoring resource network, its problem is mainly that the construction of light resources monitoring network is a long process, light resources monitoring network may not yet be built in a lot of photovoltaic generation base, for above-mentioned situation, the method lost efficacy.

Be in the patent documentation of 201310168700.7 in patent (application) number, optical quantum appraisal procedure is abandoned in the large-sized photovoltaic generating base proposed based on benchmark photovoltaic component, its deficiency is mainly, the benchmark photovoltaic component that some power station is not fixed, or the inadequate specification of benchmark photovoltaic component operational management, there is fault and mark post photovoltaic DC-to-AC converter data upload to interrupt or to make mistakes etc. problem, the solution of the present invention is using as abandoning effectively supplementing of optical quantum statistical method based on benchmark photovoltaic component.

Last it is noted that the foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, although with reference to previous embodiment to invention has been detailed description, for a person skilled in the art, it still can be modified to the technical scheme described in foregoing embodiments, or carries out equivalent replacement to wherein portion of techniques feature.Within the spirit and principles in the present invention all, any amendment done, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.

Claims (9)

1. the large-sized photovoltaic generating cluster based on irradiation similarity abandons optical quantum appraisal procedure, it is characterized in that, comprising:

Irradiation similarity is utilized dynamically to hive off to photovoltaic plant;

What calculate the described each cluster that obtains of dynamically hiving off abandons optical quantum.

2. method according to claim 1, is characterized in that, utilizes irradiation similarity dynamically to hive off to photovoltaic plant, comprising:

Each mark post photovoltaic plant is formed a subclass and cluster;

For the photovoltaic plant of each non-mark post photovoltaic plant namely except mark post photovoltaic plant, irradiation similarity according to all mark post photovoltaic plants sorts, and selects the mark post photovoltaic plant that in all mark post photovoltaic plants, non-mark post photovoltaic plant irradiation similarity is the highest with this; Each non-mark post photovoltaic plant is joined non-mark post photovoltaic plant irradiation similarity is the highest with this mark post photovoltaic plant institute in the cluster.

3. method according to claim 1 and 2, is characterized in that, what calculate the described each cluster that obtains of dynamically hiving off abandons optical quantum, comprising:

Setting timing statistics section j and computing time interval t, this timing statistics section j is greater than interval t computing time, j and t is real number; When timing statistics section j starts, the start capacity and the theory that obtain each mark post photovoltaic plant in interval t computing time are exerted oneself;

In timing statistics section j, exert oneself according to the described start capacity obtained and theory, in acquisition interval t computing time, whole photovoltaic generation base abandons optical quantum;

At the end of timing statistics section j, in acquisition timing statistics section j, whole photovoltaic cluster abandons optical quantum.

4. method according to claim 3, is characterized in that, when timing statistics section j starts, the start capacity and the theory that obtain each mark post photovoltaic plant in interval t computing time are exerted oneself, and comprising:

When timing statistics section j starts, obtained the start capacity of mark post photovoltaic plant by the photovoltaic plant photovoltaic generation real-time information of uploading in the t of interval once each computing time, calculate the average output coefficient in the t of each mark post photovoltaic plant interval computing time:

Wherein, P _ithat the actual of i-th mark post photovoltaic plant is exerted oneself, be the start capacity of i-th mark post photovoltaic plant, samp represents the set of mark post photovoltaic plant.

5. method according to claim 3, is characterized in that, in timing statistics section m, exerts oneself according to the described start capacity obtained and theory, and what obtain whole photovoltaic generation base in computing time interval t abandons optical quantum, comprising:

In timing statistics section m, exert oneself according to the described start capacity obtained and theory, calculate real-time start capacity in each photovoltaic cluster interval t each computing time and theory is exerted oneself;

Exert oneself according to the described real-time start capacity calculated and theory, what obtain whole photovoltaic generation base abandons optical quantum.

6. method according to claim 5, is characterized in that, exerts oneself, calculate the real-time start capacity in each photovoltaic cluster interval t each computing time, comprising according to the described start capacity obtained and theory:

Calculate the real-time start capacity utilizing irradiation similarity dynamically to hive off in each cluster and photovoltaic cluster interval t each computing time that obtain to photovoltaic plant:

Wherein, cluster _irepresent i-th photovoltaic plant cluster, suppose always to have the individual such cluster of n, C _jthe start capacity of a jth photovoltaic plant in i-th photovoltaic plant cluster, when photovoltaic plant start capacity upload break down or interrupt time, adopt the photovoltaic plant of interval t last computing time start shooting capacity replace.

7. method according to claim 5, is characterized in that, exert oneself according to the described start capacity obtained and theory, the theory calculated in each photovoltaic cluster interval t each computing time is exerted oneself, and comprising:

The theory calculated in each photovoltaic cluster interval t each computing time is exerted oneself:

8. method according to claim 5, is characterized in that, exert oneself according to the described real-time start capacity calculated and theory, what obtain each photovoltaic generation cluster abandons optical quantum, comprising:

By energy management system obtain in each photovoltaic cluster interval t each computing time on average actual go out force value R _i, when theory goes out force value T _ibe greater than on average actual go out force value R _itime, in each computing time interval t, the optical quantum of abandoning in whole photovoltaic generation base is:

9. according to the method one of claim 3-8 Suo Shu, it is characterized in that, at the end of timing statistics section m, what obtain whole photovoltaic cluster in timing statistics section m abandons optical quantum, comprising:

Judge whether to arrive the timing statistics section m end time:

If do not arrive the timing statistics section m end time, then the start capacity and the theory that obtain each mark post photovoltaic plant in next one interval t computing time are exerted oneself;

If arrived the timing statistics section m end time, then terminate the acquisition that start capacity and the theory of each mark post photovoltaic plant in computing time interval t are exerted oneself, abandon optical quantum according to whole photovoltaic generation base in computing time interval t, in timing statistics section m whole photovoltaic cluster abandon optical quantum:

Wherein, k=1 is the start time of abandoning optical quantum statistics, and k=m is the end time of abandoning optical quantum statistics, and m is natural number, and w is the number of photovoltaic cluster; Photovoltaic plant single game capacity is in units of MW, and the unit abandoning optical quantum is MWh.