CN108696244A - The solar panel of solar photovoltaic generation system cleans determination method - Google Patents

The solar panel of solar photovoltaic generation system cleans determination method Download PDF

Info

Publication number
CN108696244A
CN108696244A CN201810572192.1A CN201810572192A CN108696244A CN 108696244 A CN108696244 A CN 108696244A CN 201810572192 A CN201810572192 A CN 201810572192A CN 108696244 A CN108696244 A CN 108696244A
Authority
CN
China
Prior art keywords
solar panel
precipitation
cleans
inverter
solar
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201810572192.1A
Other languages
Chinese (zh)
Other versions
CN108696244B (en
Inventor
陈璐
张天文
付伟铭
李建周
刘杰斌
虞巧玲
陆川
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Huoerguosi Chint Science And Technology Service Co Ltd
Zhejiang Astronergy New Energy Development Co Ltd
Original Assignee
Huoerguosi Chint Science And Technology Service Co Ltd
Zhejiang Astronergy New Energy Development Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Huoerguosi Chint Science And Technology Service Co Ltd, Zhejiang Astronergy New Energy Development Co Ltd filed Critical Huoerguosi Chint Science And Technology Service Co Ltd
Priority to CN201810572192.1A priority Critical patent/CN108696244B/en
Publication of CN108696244A publication Critical patent/CN108696244A/en
Application granted granted Critical
Publication of CN108696244B publication Critical patent/CN108696244B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02SGENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
    • H02S40/00Components or accessories in combination with PV modules, not provided for in groups H02S10/00 - H02S30/00
    • H02S40/10Cleaning arrangements
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/50Photovoltaic [PV] energy
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/70Smart grids as climate change mitigation technology in the energy generation sector
    • YGENERAL 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
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS 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
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Abstract

The invention discloses a kind of solar panels of solar photovoltaic generation system to clean determination method, including power station, and a inverter and m solar panel are equipped in power station;M solar panel is divided into a groups, and m is the multiple of a, and each inverter is electrically connected with m/a solar panel, sets 1 inverter as mark post inverter, cleans each solar panel being connect with mark post inverter daily;The present invention has the characteristics of realizing photovoltaic module dynamic cleaning, improving photovoltaic plant operational efficiency.

Description

The solar panel of solar photovoltaic generation system cleans determination method
Technical field
The present invention relates to solar photovoltaic generation system technical fields, can effectively ensure that generating efficiency more particularly, to one kind Solar photovoltaic generation system solar panel clean determination method.
Background technology
Due to the influence of the factors such as weather, environment, solar components surface is caused to be easy dust stratification, and " dust " is to influence too One important factor of positive energy photovoltaic generating system efficiency, how fine weather short of rain are conducive to photovoltaic generation, but following Influence be that assembly surface dust stratification is more, it is therefore necessary to irregular cleaning is carried out to solar components.If photovoltaic module has ash Dirt can influence the intensity of illumination of photovoltaic cell, and then can influence the output power of photovoltaic cell.For dust cladding thickness for The problem of electricity more difficult quantization, generally according to the micro-judgment of operation maintenance personnel, enchancement factor is larger;And photovoltaic plant is because of cleaning week Phase is unreasonable, will also result in electric quantity loss caused by non-normal wash.
Technological means is limited at present, and the factor due to influencing generated energy is more and is difficult to evaluate, and dust cladding thickness is to electricity The more difficult quantization of influence of amount;And the intelligent operation management system for lacking science supports that the reasonability of artificial decision is to be improved;It closes The photovoltaic module dynamic cleaning period of reason is difficult to judge.
Invention content
The goal of the invention of the present invention is to overcome solar photovoltaic generation system in the prior art that can not determine when The deficiency for carrying out photovoltaic module cleaning, provides a kind of sun for the solar photovoltaic generation system can effectively ensure that generating efficiency It can solar panel cleaning determination method.
To achieve the goals above, the present invention uses following technical scheme:
A kind of solar panel of solar photovoltaic generation system cleans determination method, including power station, and a is equipped in power station A inverter and m solar panel;M solar panel is divided into a groups, and m is the multiple of a, and each inverter is and m/a A solar panel electrical connection sets 1 inverter as mark post inverter, and daily cleaning connect each with mark post inverter Solar panel;Include the following steps:It sets at the time of last time all solar panel cleanings are completed as T1;
(1-1) calculates T1 to the accumulative actual power hourage H1 at current time and accumulative mark post power generation hourage H2;
(1-2) calculates T1 to the accumulative dust screening rate at current time;
(1-3) cleans economic coefficient as accumulative dust screening rate >, and the horizontal > of precipitation in future time section is predetermined When threshold value, then do not clean;
When accumulative dust screening rate > cleans economic coefficient, and precipitation level≤predetermined threshold in future time section When, then it provides cleaning and suggests;
(1-4) when accumulative dust screening rate < cleans economic coefficient, then return to step (1-1).
The more difficult quantization of influence of the dust cladding thickness for generated energy, generally according to the micro-judgment of operation maintenance personnel, at random Factor is larger.If photovoltaic plant is made periodic cleaning, cannot power station generated energy fully be improved by cleaning, because of the cleaning frequency It is unreasonable, cause electric quantity loss caused by non-normal wash.
Therefore, the present invention considers cleaning economic coefficient, precipitation time node, precipitation, wind by mark post inverter The relationship of the environmental factors such as speed, and propose to add up the concept of dust screening rate, photovoltaic module dynamic cleaning is realized, to improving photovoltaic Power station operational efficiency and operation management level are of great significance.
Preferably, the installation for adding up the generated energy/power station read on H1=T1 to all inverters at current time is held It measures, adds up the installed capacity of generated energy/mark post inverter read on the mark post inverter of H2=T1 to current time.
Preferably, accumulative dust screening rate=((H2/H1) -1) × 100%.
Preferably, cleaning price/(the photovoltaic online electricity price × H1) of the cleaning economic coefficient=1KW photovoltaic modulies.
Preferably, future time section is precipitation time node D, D=1,2 ..., n;D=1,2 ..., n indicate future 1 It, have precipitation within 2 days, n days 3 days ...;
Local meteorological data is collected, the precipitation difference of occasional drizzles, light rain, moderate rain, heavy rain, heavy rain, torrential rain is set With R1, R2 ..., R6;
Gentle breeze and wind, fresh breeze, high wind, strong wind, strong wind, strong gale wind speed difference position W1, W2 ..., W7.
Preferably, setting precipitation and the wind speed shared weight in precipitation level is respectively X1, X2, and X1+X2=1, The then horizontal L=of precipitation (Ri × X1+Wj × X2)/D, i=1,2,3,4,5,6;J=1,2,3,4,5,6,7.
Therefore, the present invention has the advantages that:By mark post inverter, cleaning economic coefficient, precipitation are considered The relationship of the environmental factors such as timing node, precipitation, wind speed, and propose to add up the concept of dust screening rate, realize photovoltaic module Dynamic cleaning improves photovoltaic plant operational efficiency.
Description of the drawings
Fig. 1 is a kind of flow chart of the present invention.
Specific implementation mode
The present invention will be further described with reference to the accompanying drawings and detailed description.
Embodiment as shown in Figure 1 is a kind of solar panel cleaning determination method of solar photovoltaic generation system, Including power station, 20 5KW inverters and 27936 pieces of 315w solar panels are equipped in power station;27936 solar panels It is divided into 20 groups, each inverter is electrically connected with 27936/20 solar panel, sets 1 inverter as mark post inversion Device cleans each solar panel being connect with mark post inverter daily;Include the following steps:Set last time all solar energy T1 was before 30 days at the time of solar panel cleaning is completed;
Step 100, T1 to the accumulative actual power hourage H1 at current time and accumulative mark post power generation hourage H2 are calculated;
H1=T1 is to the 901800kwh/8800KW=102.447h at current time, H2=T1 to current time 533kwh/5KW=106.6h.The installed capacity of mark post inverter is 5KW, the power station component with the dynamic cleaning of the being obtained period Possess the environmental conditions such as identical temperature, dust, rainfall, wind speed.
Step 200, T1 is calculated to the accumulative dust screening rate at current time;
Accumulative dust screening rate=((H2/H1) -1) × 100%=((106.6/102.447) -1) × 100%= 4.054%.
Step 300, when adding up dust screening rate > cleaning economic coefficient, building of whether cleaning is provided according to precipitation level View;
When accumulative dust screening rate > cleans economic coefficient, and the horizontal > predetermined thresholds of precipitation in future time section When, then it does not clean;
When accumulative dust screening rate > cleans economic coefficient, and precipitation level≤predetermined threshold in future time section When, then it provides cleaning and suggests;
Cleaning price/(photovoltaic online electricity price × H1)=3.5 yuan/KW of cleaning economic coefficient=1KW photovoltaic modulies × (0.85 yuan × 102.447h)=4.019%.
Rainfall is horizontal main related with three factors, is precipitation time node, precipitation, wind speed respectively, wherein precipitation, Wind speed is obtained by meteorological weather forecast, and precipitation=precipitation rate * precipitation hourages.
Wherein precipitation speed data distribution is as follows:
Occasional drizzles:Precipitation rate is less than 0.25 mm hr;
Light rain:Precipitation rate is between 0.25 mm hr and 1.0 mm hrs;
Moderate rain:Precipitation rate is between 1.0 mm hrs and 4.0 mm hrs;
Heavy rain:Precipitation rate is between 4.0 mm hrs and 16.0 mm hrs;
Heavy rain:Precipitation rate is between 16.0 mm hrs and 50.0 mm hrs;
Torrential rain:Precipitation rate is more than 50.0 mm hrs.
Wherein air speed data distribution is as follows:
Gentle breeze:Wind speed is between 3.4 meter per seconds and 5.5 meter per seconds;
And wind:Wind speed is between 5.5 meter per seconds and 8 meter per seconds;
Fresh breeze:Wind speed is between 8 meter per seconds and 10.8 meter per seconds;
High wind:Wind speed is between 10.8 meter per seconds and 13.9 meter per seconds;
Strong wind:Wind speed is between 13.9 meter per seconds and 17.2 meter per seconds;
Strong wind:Wind speed is between 17.2 meter per seconds and 20.8 meter per seconds;
Strong gale:Wind speed is between 20.8 meter per seconds and 24.5 meter per seconds.
Different degrees of rainfall is different to the scouring effect of component dust, it is generally the case that rainfall is bigger, washes away effect Fruit is better.Under certain rainfall intensity, wind speed decides the angle of rain line and photovoltaic panel, and the difference of the angle will also result in Rainwater is different to the scouring effect of component dust.
Local meteorological data is collected, the precipitation difference of occasional drizzles, light rain, moderate rain, heavy rain, heavy rain, torrential rain is set With R1, R2 ..., R6;
Gentle breeze and wind, fresh breeze, high wind, strong wind, strong wind, strong gale wind speed difference position W1, W2 ..., W7.
Future time section is precipitation time node D, D=1,2 ..., n;D=1,2 ..., n indicate 1 day future, 2 days, 3 It ... there is precipitation within n days;
Setting precipitation and the wind speed shared weight in precipitation level is respectively X1, X2, and X1+X2=1, then precipitation is horizontal L=(Ri × X1+Wj × X2)/D, i=1,2,3,4,5,6;J=1,2,3,4,5,6,7.
Step 400, as accumulative dust Zhe Bishuai <When cleaning economic coefficient, then return to step 100.
It should be understood that this embodiment is only used to illustrate the invention but not to limit the scope of the invention.In addition, it should also be understood that, After having read the content of the invention lectured, those skilled in the art can make various modifications or changes to the present invention, these etc. Valence form is also fallen within the scope of the appended claims of the present application.

Claims (6)

1. a kind of solar panel of solar photovoltaic generation system cleans determination method, characterized in that including power station, power station In be equipped with a inverter and m solar panel;M solar panel is divided into a groups, and m is the multiple of a, each inverter It is electrically connected with m/a solar panel, sets 1 inverter as mark post inverter, daily cleaning connects with mark post inverter The each solar panel connect;Include the following steps:It sets at the time of last time all solar panel cleanings are completed as T1;
(1-1) calculates T1 to the accumulative actual power hourage H1 at current time and accumulative mark post power generation hourage H2;
(1-2) calculates T1 to the accumulative dust screening rate at current time;
(1-3) cleans economic coefficient, and the horizontal > predetermined thresholds of precipitation in future time section as accumulative dust screening rate > When, then it does not clean;
When accumulative dust screening rate > cleans economic coefficient, and when precipitation level≤predetermined threshold in future time section, then Cleaning is provided to suggest;
(1-4) when accumulative dust screening rate < cleans economic coefficient, then return to step (1-1).
2. the solar panel of solar photovoltaic generation system according to claim 1 cleans determination method, feature It is to add up the installed capacity in generated energy/power station read on all inverters of H1=T1 to current time, H2=T1 is to current Add up the installed capacity of the generated energy/mark post inverter read on the mark post inverter at moment.
3. the solar panel of solar photovoltaic generation system according to claim 1 cleans determination method, feature It is to add up dust screening rate=((H2/H1) -1) × 100%.
4. the solar panel of solar photovoltaic generation system according to claim 1 cleans determination method, feature It is cleaning price/(the photovoltaic online electricity price × H1) of the cleaning economic coefficient=1KW photovoltaic modulies.
5. the solar panel of solar photovoltaic generation system according to claim 1 cleans determination method, feature It is that future time section is precipitation time node D, D=1,2 ..., n;D=1,2 ..., n indicate 1 day, 2 days, n days 3 days ... following There is precipitation;
Collect local meteorological data, setting occasional drizzles, light rain, moderate rain, heavy rain, heavy rain, torrential rain precipitation use respectively R1, R2,…,R6;
Gentle breeze and wind, fresh breeze, high wind, strong wind, strong wind, strong gale wind speed difference position W1, W2 ..., W7.
6. the solar panel of solar photovoltaic generation system according to claim 5 cleans determination method, feature It is that setting precipitation and the wind speed shared weight in precipitation level is respectively X1, X2, and X1+X2=1, then the horizontal L=of precipitation (Ri × X1+Wj × X2)/D, i=1,2,3,4,5,6;J=1,2,3,4,5,6,7.
CN201810572192.1A 2018-06-05 2018-06-05 Cleaning and judging method for solar cell panel of solar photovoltaic power generation system Active CN108696244B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810572192.1A CN108696244B (en) 2018-06-05 2018-06-05 Cleaning and judging method for solar cell panel of solar photovoltaic power generation system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810572192.1A CN108696244B (en) 2018-06-05 2018-06-05 Cleaning and judging method for solar cell panel of solar photovoltaic power generation system

Publications (2)

Publication Number Publication Date
CN108696244A true CN108696244A (en) 2018-10-23
CN108696244B CN108696244B (en) 2020-09-04

Family

ID=63849424

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810572192.1A Active CN108696244B (en) 2018-06-05 2018-06-05 Cleaning and judging method for solar cell panel of solar photovoltaic power generation system

Country Status (1)

Country Link
CN (1) CN108696244B (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111337806A (en) * 2020-03-06 2020-06-26 浙江正泰新能源开发有限公司 Photovoltaic module cleaning judgment method, device, equipment and medium
CN111445036A (en) * 2020-03-10 2020-07-24 苏州瑞得恩工业物联网科技有限公司 Dynamic adjustment method for cleaning frequency of photovoltaic power station and storage medium
CN115412020A (en) * 2022-08-08 2022-11-29 合肥中南光电有限公司 Panel defrosting system for solar photovoltaic panel

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2016046950A (en) * 2014-08-25 2016-04-04 住友電気工業株式会社 Photovoltaic power generation system and panel cleaning method
CN105932965A (en) * 2016-05-13 2016-09-07 何旭 Method for measuring efficiency of photovoltaic power station system
KR20160122417A (en) * 2015-04-14 2016-10-24 전자부품연구원 Maintenance control apparatus of solar cell module using laser thickness gauge
WO2016190597A1 (en) * 2015-05-27 2016-12-01 (주)대연씨앤아이 Solar panel cleaning device for solar photovoltaic power generating apparatus
CN107886191A (en) * 2017-10-20 2018-04-06 中冶华天南京电气工程技术有限公司 A kind of determination methods of photovoltaic module occasion of rinsing

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2016046950A (en) * 2014-08-25 2016-04-04 住友電気工業株式会社 Photovoltaic power generation system and panel cleaning method
KR20160122417A (en) * 2015-04-14 2016-10-24 전자부품연구원 Maintenance control apparatus of solar cell module using laser thickness gauge
WO2016190597A1 (en) * 2015-05-27 2016-12-01 (주)대연씨앤아이 Solar panel cleaning device for solar photovoltaic power generating apparatus
CN105932965A (en) * 2016-05-13 2016-09-07 何旭 Method for measuring efficiency of photovoltaic power station system
CN107886191A (en) * 2017-10-20 2018-04-06 中冶华天南京电气工程技术有限公司 A kind of determination methods of photovoltaic module occasion of rinsing

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111337806A (en) * 2020-03-06 2020-06-26 浙江正泰新能源开发有限公司 Photovoltaic module cleaning judgment method, device, equipment and medium
CN111445036A (en) * 2020-03-10 2020-07-24 苏州瑞得恩工业物联网科技有限公司 Dynamic adjustment method for cleaning frequency of photovoltaic power station and storage medium
CN111445036B (en) * 2020-03-10 2023-05-30 苏州瑞得恩工业物联网科技有限公司 Dynamic adjustment method for cleaning frequency of photovoltaic power station and storage medium
CN115412020A (en) * 2022-08-08 2022-11-29 合肥中南光电有限公司 Panel defrosting system for solar photovoltaic panel

Also Published As

Publication number Publication date
CN108696244B (en) 2020-09-04

Similar Documents

Publication Publication Date Title
Abbes et al. Eco-design optimisation of an autonomous hybrid wind–photovoltaic system with battery storage
CN108696244A (en) The solar panel of solar photovoltaic generation system cleans determination method
CN107886191A (en) A kind of determination methods of photovoltaic module occasion of rinsing
CN111144655A (en) Combined optimization method for site selection, volume fixing and power distribution network frame of distributed power supply
Acuzar et al. Effects of weather and climate on renewable energy resources in a distributed generation system simulated in Visayas, Philippines
Zidane et al. Identifiability evaluation of crucial parameters for grid connected photovoltaic power plants design optimization
Bracco et al. Energy Management System for the Optimal Operation of a Grid-Connected Building with Renewables and an Electric Delivery Vehicle
Indrawan et al. Grid parity analysis of rooftop photovoltaic in Jakarta and Surabaya
Sinha et al. Automatic solar tracker with pre-installed panel cleaner
Hacker et al. Small grid-connected solar photovoltaic generators in the UK
CN109325708B (en) Method for determining dust deposition cleaning period of photovoltaic power generation assembly
Badamshina et al. Case Study of Microgeneration for Power Supply in Remote Island Communities
Balatoni et al. Potential of Vilanova i la Geltrú for local generation of renewable energy
CN109742806B (en) Converter device with parallel power processing
Kellow Why the future is not solar
Patel et al. A case study into improving the 24-month mid-term forecasting of wind energy by combining with PVs
Harun et al. Feasibility Study of Solar Power Plant in the Rectorate Building of Lampung University Using the Ongrid System
Khairudin et al. Feasibility Study of Solar Power Plant in the Rectorate Building of Lampung University Using the On-grid System
Platt et al. The virtual power station
Zhu et al. Research on Economic Returns of Distributed Photovoltaic Power Generation Projects in Hunan
Kymakis et al. A PHOTOVOLTAIC PARK’S PERFORMANCE ON THE ISLAND OF CRETE
Yousefi et al. Sustainable development through the establishment of zero-carbon villages
Triwijaya et al. Analyzing Hybrid Systems for Railway Crossing Energy Generation
Mona et al. A NEW APPROACH FOR CONTROL SYSTEM OF SOLAR PANELS
Motameni et al. Efficiency improvement of photovoltaic panels by using biaxial solar tracker and automatic washing arm

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant