CN105375874A - Photovoltaic power generation maximum power tracing performance index prediction method - Google Patents
Photovoltaic power generation maximum power tracing performance index prediction method Download PDFInfo
- Publication number
- CN105375874A CN105375874A CN201510721774.8A CN201510721774A CN105375874A CN 105375874 A CN105375874 A CN 105375874A CN 201510721774 A CN201510721774 A CN 201510721774A CN 105375874 A CN105375874 A CN 105375874A
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- photovoltaic
- performance index
- maximum power
- tracking performance
- power tracking
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- 238000000034 method Methods 0.000 title claims abstract description 15
- 238000010248 power generation Methods 0.000 title abstract description 7
- 238000013277 forecasting method Methods 0.000 claims description 12
- 230000005484 gravity Effects 0.000 claims description 6
- 230000005855 radiation Effects 0.000 claims description 6
- 230000008569 process Effects 0.000 claims description 5
- 238000005457 optimization Methods 0.000 claims description 3
- 238000012544 monitoring process Methods 0.000 abstract description 5
- 238000012937 correction Methods 0.000 abstract description 3
- 238000005259 measurement Methods 0.000 abstract 1
- 238000012545 processing Methods 0.000 abstract 1
- 230000009471 action Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02S—GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
- H02S40/00—Components or accessories in combination with PV modules, not provided for in groups H02S10/00 - H02S30/00
-
- H02J3/385—
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B10/00—Integration of renewable energy sources in buildings
- Y02B10/10—Photovoltaic [PV]
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/50—Photovoltaic [PV] energy
- Y02E10/56—Power conversion systems, e.g. maximum power point trackers
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
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- Photovoltaic Devices (AREA)
Abstract
The invention provides a photovoltaic power generation maximum power tracing performance index prediction method. Through the building of a time sequence of a photovoltaic power generation maximum power tracing performance index evolution system, the method carries out the non-linear simplex method processing of time sequence measurement data, carries out the reflection calculation of a peak target function, carries out the prediction of a photovoltaic power generation maximum power tracing performance index, and obtains a prediction value of the photovoltaic power generation maximum power tracing performance index. The method can carry out the prediction of the photovoltaic power generation maximum power tracing performance index according to monitoring parameters, carries out the correction control of the maximum power tracing in real time according to calculation results, can effectively avoid power unbalance of all photovoltaic cells, and remarkably improves the reliability and economic performances of a photovoltaic system.
Description
Technical field
The invention belongs to technical field of photovoltaic power generation, particularly a kind of photovoltaic maximum power tracking performance index forecasting method.
Background technology
Photovoltaic generating system and wherein numerous solar cells have formed a complicated system, how to carry out photovoltaic maximum power tracking according to solar cell and photovoltaic system operation characteristic, each photovoltaic cell is made to have given play to greatest benefit, also make each photovoltaic system can be the most effective simultaneously, utilize solar energy irradiation resource the most fast, it is the key issue being related to photovoltaic generating system efficiency and performance, the feature of maximal power tracing was tracking performance parameter and the correcting action to maximal power tracing control thereof in the past, independently maximal power tracing operation is carried out by each photovoltaic cell module system in photovoltaic generating system, multiple assembly performance with each other can not coordinate synchronization, can not effectively utilize resource at sunshine, tracking accuracy and photovoltaic resources utilization ratio not high, therefore, Real-Time Monitoring is carried out to photovoltaic system each assembly maximal power tracing running performance parameters and environment parament, and according to monitoring, prediction and calculation is carried out to maximal power tracing performance index, in real time Correction and Control is carried out to maximal power tracing according to result of calculation, effectively can avoid each photovoltaic power energy imbalance, significantly improve photovoltaic system reliability and economy.
In view of this, the invention provides a kind of photovoltaic maximum power tracking performance index forecasting method, to meet practical application needs.
Summary of the invention
The object of the invention is: for overcoming the deficiencies in the prior art, the invention provides a kind of photovoltaic maximum power tracking performance index forecasting method, thus obtain photovoltaic maximum power tracking performance index.
The technical solution adopted in the present invention is: a kind of photovoltaic maximum power tracking performance index forecasting method, is characterized in that, comprise the steps:
Step 1: the time series setting up photovoltaic maximum power tracking performance index Evolution System:
At Fixed Time Interval, photovoltaic power, solar radiation intensity, wind speed are measured, difference history being measured the measured value of maximum and photovoltaic power divided by photovoltaic cell rated power as photovoltaic maximum power tracking performance index, that is:
Then, in a series of moment
, obtain tracking performance index
, solar radiation intensity
, wind speed
time series, Qi Zhongwei
natural number,
,
（1）
Step 2: the non-linear mere body method process of tracking performance exponential time sequence measuring data:
Step 2.1 sets up optimization object function:
（2）
In formula
for
individual optimized variable;
Step 2.2: structure photovoltaic maximum power tracking performance index Evolution System
mdimension phase space:
If
it is photovoltaic maximum power tracking performance index Evolution System phase space
individual summit,
be the target function value on these summits, use
record the subscript of maximum, then maximum is
, use
record the subscript of minimum value, then minimum value is
,
for the center of gravity on summits all except maximum summit,
（3）
Step 3: opposite vertexes target function value carries out reflection operation:
（4）
In formula
for the summit newly produced;
for reflection coefficient, 0<
<1, by reflection operation, achieves maximum summit to the rightabout motion of center of gravity;
Step 4: carry out photovoltaic maximum power tracking performance exponential forecasting according to characteristics of phase space amount and calculate:
To target function be
solve, penalty
, constraint function
, then solve
value is photovoltaic maximum power tracking performance exponential forecasting value.
Photovoltaic maximum power tracking performance index forecasting method as above, is characterized in that, in step 3,
value size, directly determine the distance of reflective distance, for many photovoltaic region Network Voltage Stability nargin phase space, get 0.61≤
≤ 0.79, primary can be made to be distributed in feas ible space widely.
Photovoltaic maximum power tracking performance index forecasting method as above, is characterized in that, in step 3, if after reflection operation, and the new summit target function value obtained
between
with
between, then use
replace
.
The invention has the beneficial effects as follows: the present invention is that photovoltaic electrical network provides a kind of photovoltaic maximum power tracking performance index forecasting method, Real-Time Monitoring is carried out to photovoltaic system each assembly maximal power tracing running performance parameters and environment parament, and according to monitoring parameter, prediction and calculation is carried out to maximal power tracing performance index, in real time Correction and Control is carried out to maximal power tracing according to result of calculation, effectively can avoid each photovoltaic power energy imbalance, significantly improve photovoltaic system reliability and economy.
Carry out in the calculating of photovoltaic maximum power tracking performance exponential forecasting according to characteristics of phase space amount, photovoltaic maximum power is followed the tracks of running state information time series through the process of non-linear mere body method, make maximal power tracing horizontal equilibrium between each photovoltaic cell reasonable, fully demonstrate photovoltaic generation economic performance and invariant feature.
Accompanying drawing explanation
Fig. 1 is the target function interative computation figure of the embodiment of the present invention.
Embodiment
In order to understand the present invention better, illustrate content of the present invention further below in conjunction with embodiment, but content of the present invention is not only confined to the following examples.Those skilled in the art can make various changes or modifications the present invention, and these equivalent form of values are equally within claims limited range listed by the application.
As shown in Figure 1, a kind of photovoltaic maximum power tracking performance index forecasting method that the embodiment of the present invention provides, step is as follows:
Step 1: the time series setting up photovoltaic maximum power tracking performance index Evolution System:
At Fixed Time Interval, photovoltaic power, solar radiation intensity, wind speed are measured, difference history being measured the measured value of maximum and photovoltaic power divided by photovoltaic cell rated power as photovoltaic maximum power tracking performance index, that is:
Then, in a series of moment
(
for natural number,
) obtain tracking performance index
, solar radiation intensity
, wind speed
time series:
（1）。
Step 2: the non-linear mere body method process of tracking performance exponential time sequence measuring data:
Step 2.1 sets up optimization object function:
（2）
In formula
for
individual optimized variable.
Step 2.2: structure photovoltaic maximum power tracking performance index Evolution System
mdimension phase space:
it is photovoltaic maximum power tracking performance index Evolution System phase space
individual summit,
it is the target function value on these summits.With
record the subscript of maximum, then maximum is
, use
record the subscript of minimum value, then minimum value is
,
for the center of gravity on summits all except maximum summit,
（3）。
Step 3: opposite vertexes target function value carries out reflection operation:
（4）
In formula
for the summit newly produced;
for reflection coefficient, 0<
<1.By reflection operation, achieve maximum summit to the rightabout motion of center of gravity.
value size, directly determine the distance of reflective distance, for many photovoltaic region Network Voltage Stability nargin phase space, get 0.61≤
≤ 0.79, primary can be made to be distributed in feas ible space widely.If after reflection operation, the new summit target function value obtained
between
with
between, then use
replace
.
In this embodiment, for making primary be distributed widely in feas ible space, get
=0.7236.
Carry out photovoltaic maximum power tracking performance exponential forecasting according to characteristics of phase space amount to calculate:
Photovoltaic maximum power is followed the tracks of running state information time series through the process of non-linear mere body method, makes maximal power tracing horizontal equilibrium between each photovoltaic cell reasonable, fully demonstrated photovoltaic generation economic performance and invariant feature,
To target function:
solve, penalty
, constraint function
, in formula,
,
for the penalty term of target function,
for the bound term of target function, target function is solved, solves
value is photovoltaic maximum power tracking performance exponential forecasting value.
These are only embodiments of the invention, be not limited to the present invention, therefore, within the spirit and principles in the present invention all, any amendment made, equivalent replacement, improvement etc., all should be included within right of the present invention.
Claims (3)
1. a photovoltaic maximum power tracking performance index forecasting method, is characterized in that, comprises the steps:
Step 1: the time series setting up photovoltaic maximum power tracking performance index Evolution System:
At Fixed Time Interval, photovoltaic power, solar radiation intensity, wind speed are measured, difference history being measured the measured value of maximum and photovoltaic power divided by photovoltaic cell rated power as photovoltaic maximum power tracking performance index, that is:
Then, in a series of moment
, obtain tracking performance index
, solar radiation intensity
, wind speed
time series, Qi Zhongwei
natural number,
,
（1）
Step 2: the non-linear mere body method process of tracking performance exponential time sequence measuring data:
Step 2.1 sets up optimization object function:
（2）
In formula
for
individual optimized variable;
Step 2.2: structure photovoltaic maximum power tracking performance index Evolution System
mdimension phase space:
If
it is photovoltaic maximum power tracking performance index Evolution System phase space
individual summit,
be the target function value on these summits, use
record the subscript of maximum, then maximum is
, use
record the subscript of minimum value, then minimum value is
,
for the center of gravity on summits all except maximum summit,
（3）
Step 3: opposite vertexes target function value carries out reflection operation:
（4）
In formula
for the summit newly produced;
for reflection coefficient, 0<
<1, by reflection operation, achieves maximum summit to the rightabout motion of center of gravity;
Step 4: carry out photovoltaic maximum power tracking performance exponential forecasting according to characteristics of phase space amount and calculate:
To target function be
solve, penalty
, constraint function
, then solve
value is photovoltaic maximum power tracking performance exponential forecasting value.
2. photovoltaic maximum power tracking performance index forecasting method according to claim 1, is characterized in that, in step 3,
value size, directly determine the distance of reflective distance, for many photovoltaic region Network Voltage Stability nargin phase space, get 0.61≤
≤ 0.79, primary can be made to be distributed in feas ible space widely.
3. photovoltaic maximum power tracking performance index forecasting method according to claim 1, is characterized in that, in step 3, if after reflection operation, and the new summit target function value obtained
between
with
between, then use
replace
.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106602559A (en) * | 2016-12-08 | 2017-04-26 | 国网青海省电力公司 | Off-grid photovoltaic power generation system direct-current network harmonic convergence index prediction method |
| CN106650060A (en) * | 2016-12-08 | 2017-05-10 | 国网青海省电力公司 | Prediction method of internal resistance attenuation coefficient for photovoltaic cells |
| CN106655251A (en) * | 2016-10-31 | 2017-05-10 | 国家电网公司 | Photovoltaic power station grid-connection point inverter resonance probability index prediction method |
| CN113971259A (en) * | 2021-10-22 | 2022-01-25 | 重庆大学 | Error reliability parameter identification and correction method for power generation and transmission system element |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106655251A (en) * | 2016-10-31 | 2017-05-10 | 国家电网公司 | Photovoltaic power station grid-connection point inverter resonance probability index prediction method |
| CN106602559A (en) * | 2016-12-08 | 2017-04-26 | 国网青海省电力公司 | Off-grid photovoltaic power generation system direct-current network harmonic convergence index prediction method |
| CN106650060A (en) * | 2016-12-08 | 2017-05-10 | 国网青海省电力公司 | Prediction method of internal resistance attenuation coefficient for photovoltaic cells |
| CN106650060B (en) * | 2016-12-08 | 2020-05-15 | 国网青海省电力公司 | Photovoltaic cell internal resistance attenuation coefficient prediction method |
| CN113971259A (en) * | 2021-10-22 | 2022-01-25 | 重庆大学 | Error reliability parameter identification and correction method for power generation and transmission system element |
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