CN106202705B - A kind of solar panel array multi-objective optimization design of power method - Google Patents

A kind of solar panel array multi-objective optimization design of power method Download PDF

Info

Publication number
CN106202705B
CN106202705B CN201610534472.4A CN201610534472A CN106202705B CN 106202705 B CN106202705 B CN 106202705B CN 201610534472 A CN201610534472 A CN 201610534472A CN 106202705 B CN106202705 B CN 106202705B
Authority
CN
China
Prior art keywords
solar panel
array
cost
monomer
fault probability
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.)
Expired - Fee Related
Application number
CN201610534472.4A
Other languages
Chinese (zh)
Other versions
CN106202705A (en
Inventor
李亚
樊汝森
杨俊杰
宋文战
张培
赵显伦
郑真
朱凯
马晔晖
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.)
Shanghai University of Electric Power
State Grid Shanghai Electric Power Co Ltd
Original Assignee
Shanghai University of Electric Power
State Grid Shanghai Electric Power 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 Shanghai University of Electric Power, State Grid Shanghai Electric Power Co Ltd filed Critical Shanghai University of Electric Power
Priority to CN201610534472.4A priority Critical patent/CN106202705B/en
Publication of CN106202705A publication Critical patent/CN106202705A/en
Application granted granted Critical
Publication of CN106202705B publication Critical patent/CN106202705B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Electricity, gas or water supply
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2111/00—Details relating to CAD techniques
    • G06F2111/04—Constraint-based 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
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation

Abstract

The present invention relates to a kind of solar panel array multi-objective optimization design of power methods can effectively ensure that equipment in the power supply reliability of overcast and rainy period equipment by comprehensively considering the continuous overcast and rainy days of longest twice and its most short interval number of days；Array totle drilling cost and array incipient fault probability are sought by incipient fault probability in normal life cycle of monomer solar panel price, solar battery plate serioparallel number, solar panel and connection cables incipient fault probability, there is certain evaluation to array economy and power supply reliability, comprehensively consider solar panel array economy and power supply reliability, further seek array synthetic coefficient, selection array synthetic coefficient minimum value is optimization design scheme, can effectively improve the comprehensive performance of solar panel array.Compared with prior art, the present invention has many advantages, such as at low cost that power supply reliability is high.

Description

A kind of solar panel array multi-objective optimization design of power method
Technical field
The present invention relates to a kind of design of solar panel array, in particular to a kind of solar panel array multiple target Optimum design method.
Background technique
With the continuous development of solar energy generation technology, the performances such as solar panel generating efficiency, service life are obtained constantly It improves, solar electric power supply system is widely used in the load of the fields such as on-line monitoring system, communication system, but how to design warp It helps and reliable solar panel array of powering does not form unified method but.
Majority solar panel array is being designed without the consideration continuous overcast and rainy most short space-number of longest twice at present, when Longest is when continuously overcast and rainy space-number is smaller twice, since the generation deficiency in the solar panel short time is to be replenished in time electric power storage Property of the pond during longest continuous rainy days will be unable to guarantee reliable power supply when second of longest continuous rainy days；Have Method although it is contemplated that the continuous overcast and rainy most short space-number of longest twice, but do not account for solar panel array economy and Power supply reliability causes solar panel array higher cost or power supply reliability poor.
Summary of the invention
The present invention be directed to solar panel array design there are the problem of, propose a kind of solar panel array Multi-objective optimization design of power method, the solar panel array good economy performance designed, power supply reliability are high.
The technical solution of the present invention is as follows: a kind of solar panel array multi-objective optimization design of power method, specifically include as Lower step:
1) output voltage U is designed by solar panel arrayBOWith monomer solar panel voltage rating UBBIt seeks Solar panel serial number；
2) solar panel parallel connection number N is set according to environment according to solar panelBVInitial value is to allow minimum Value；
3) according to load day consumption, the accumulator array minimum total capacity powered jointly with solar panel array and twice The continuous space-number rainy days N of longestDSeek solar panel minimum daily generation QPmin；
4) required solar panel is minimum when seeking working normally according to geographic latitude, solar panel tilt angle Rated current IOCmin, and according to IOCminSize chooses monomer solar panel；
5) solar panel of same nominal voltage is as database, with monomer solar panel maximum in database Rated current judges whether monomer solar panel rated current is more than to allow maximum monomer solar-electricity as screening conditions Pond plate rated current is transferred to step 6), if so, not selecting, is then transferred to step 7) if it is not, choosing；
6) it is normally being given birth to according to monomer solar panel price, solar battery plate serioparallel number, solar panel Incipient fault probability and connection cables incipient fault probability in the life period seek the cost of solar panel for the first time, more of array Solar panel cost, solar panel connection cables cost, array totle drilling cost and array incipient fault probability are changed, and is protected Deposit each calculated result；
7) judge whether solar panel parallel connection number is to allow maximum value, if it is not, step 8) is then transferred to, if so, turning Enter step 9)；
8) solar panel parallel connection number adds 1 certainly, and is transferred to step 4)；
9) comprehensively consider array economy and power supply reliability, calculate the array synthetic of corresponding solar panel parallel connection number Coefficient；
Step 6) the specific formula for calculation is as follows:
N=NBHNBV
Y0B=nMB
YDB=KDB(n+NBV-2)MB
YB=Y0B+YHB+YDB
PBAPF=1- (1-PBPF)n(1-PWPF)2n
In formula: n is monomer solar panel quantity, Y0BFor solar panel cost, Y for the first timeHBTo replace solar energy Solar panel cost, YDBFor solar panel connection cables cost, YBFor array totle drilling cost, PBAPFIt is general for array incipient fault Rate；NBHFor solar panel serial number, NBVFor solar panel parallel connection number, MBFor monomer solar panel price；PBPF The incipient fault probability for being solar panel in normal life cycle, KDBFor solar panel array connection cables cost Coefficient, PWPFFor connection cables incipient fault probability.
Array synthetic COEFFICIENT K in the step 9)BCalculation formula are as follows:
In formula: YBminFor the minimum total price in all solar panel array schemes.
The beneficial effects of the present invention are: solar panel array multi-objective optimization design of power method of the present invention, by comprehensive It closes and considers the continuous overcast and rainy days of longest and its most short interval number of days twice, can effectively ensure that equipment in the power supply of overcast and rainy period equipment Reliability；By monomer solar panel price, solar battery plate serioparallel number, solar panel in normal life week Incipient fault probability and connection cables incipient fault probability in phase seek array totle drilling cost and array incipient fault probability, are poised for battle Column economy and power supply reliability have certain evaluation, comprehensively consider solar panel array economy and power supply reliability, into One step seeks array synthetic coefficient, and selection array synthetic coefficient minimum value is optimization design scheme, can effectively improve solar-electricity The comprehensive performance of pond plate array.
Detailed description of the invention
Fig. 1 is solar panel array multi-objective optimization design of power method flow diagram of the present invention.
Specific embodiment
As shown in Figure 1, solar panel array multi-objective optimization design of power method provided by the invention, including following step It is rapid:
Step S1 designs output voltage U by solar panel arrayBOWith monomer solar panel voltage rating UBBSeek solar panel serial number, solar panel serial number minimum value NBHminCalculation formula are as follows:
In formula: the practical serial number N of solar panelBHFor not less than NBHminPositive integer, and minimum value be 1；
Step S2 sets solar panel parallel connection number N according to solar panel according to environmentBVInitial value is to allow Minimum value；
Step S3, solar panel by weather because influenced very greatly, to be generally powered simultaneously with battery, and use Same controller carries out coordinated control, so first according to load rating power WLWith the continuous overcast and rainy days N of longestL, seek electric power storage Pond array minimum total capacity QBmin, its calculation formula is:
In formula: A is safety coefficient, takes 1.1-1.4；ULFor rated voltage with load；KTFor battery temp penalty coefficient, one As 0 DEG C or more take 1.0,0 DEG C~-10 DEG C to take 1.1, -10 DEG C or less take 1.2；CCFor battery depth of discharge, general non-maintaining lead Acid accumulator takes 0.75, and alkaline nickel-cadmium storage battery and ferric phosphate lithium cell take 0.85；ηKFFor solar controller transfer efficiency；
According to load day consumption, QBminAnd the continuous space-number rainy days N of longest twiceDSeek the minimum day hair of solar panel Electricity QPminCalculation formula are as follows:
In formula: ηKCFor solar controller battery charge efficiency, general maintenance-free lead accumulator takes 0.85, fiber nickel Cadmium cell takes 0.9, and lithium iron phosphate storage battery takes 0.92；QLTo load day power consumption.
Step S4, required solar battery when seeking working normally according to geographic latitude, solar panel tilt angle Plate minimum rated current IOCmin, its calculation formula is:
In formula: KOPFor solar panel inclination angle correction factor；KZFor solar panel power generation loss correction factor, Predominantly power generation loss caused by the factors such as solar panel combination and surface dirt and the decaying of long-time generating efficiency；KRFor Conversion coefficient is radiated, solar daily radiation is converted to the conversion system of average day radiation hourage under the conditions of standard intensity of illumination Number；HRFor solar daily radiation, different regions HRDetailed data is different, therefore can be according to IOCminSize chooses monomer solar energy Solar panel, monomer solar panel rated current IOCNot less than IOCmin；
Step S5, general same nominal voltage solar panel form a database, all selectable identical volumes The maximum rated current of constant voltage solar panel maximum monomer solar panel rated current under voltage rating thus, because This will be screened, and judge whether monomer solar panel rated current is more than to allow maximum monomer solar panel specified Electric current is transferred to step S6, if so, not selecting, is then transferred to step S7 if it is not, choosing；
Step S6, according to monomer solar panel price MB, solar battery plate serioparallel number NBHAnd NBV, solar-electricity Incipient fault probability P of the pond plate in normal life cycleBPFWith connection cables incipient fault probability PWPFSeek array for the first time Solar panel cost Y0B, replacement solar panel cost YHBWith solar panel connection cables cost YDB, array it is total Cost YBWith array incipient fault probability PBAPF, and each calculated result is saved, specific formula for calculation is as follows:
N=NBHNBV
Y0B=nMB
YDB=KDB(n+NBV-2)MB
YB=Y0B+YHB+YDB
PBAPF=1- (1-PBPF)n(1-PWPF)2n
In formula: n is monomer solar panel quantity, KDBFor solar panel array connection cables cost coefficient；
Step S7 judges whether solar panel parallel connection number is permission maximum value, if it is not, it is then transferred to step S8, if so, Then it is transferred to step S9；
Step S8, solar panel parallel connection number NBV=NBV+ 1, and it is transferred to step S4；
Step S9 comprehensively considers array economy and power supply reliability, calculates the battle array of corresponding solar panel parallel connection number Column coefficient of colligation, its calculation formula is:
In formula: YBminFor the minimum total price in all solar panel array schemes；KBIt is bigger, solar panel battle array Column economy and power supply reliability comprehensive performance are lower.
Step S10, by comparing the smallest design scheme of array synthetic coefficient is chosen, design terminates.

Claims (1)

1. a kind of solar panel array multi-objective optimization design of power method, which is characterized in that specifically comprise the following steps:
1) output voltage U is designed by solar panel arrayBOWith monomer solar panel voltage rating UBBSeek the sun It can solar panel serial number；
2) solar panel parallel connection number N is set according to environment according to solar panelBVInitial value is to allow minimum value；
3) according to load day consumption, the accumulator array minimum total capacity powered jointly with solar panel array and longest twice Continuous space-number N rainy daysDSeek solar panel minimum daily generation QPmin；
4) required solar panel minimum is specified when seeking working normally according to geographic latitude, solar panel tilt angle Electric current IOCmin, and according to IOCminSize chooses monomer solar panel；
5) solar panel of same nominal voltage is specified with monomer solar panel maximum in database as database Electric current judges whether monomer solar panel rated current is more than to allow maximum monomer solar panel as screening conditions Rated current is transferred to step 6), if so, not selecting, is then transferred to step 7) if it is not, choosing；
6) according to monomer solar panel price, solar battery plate serioparallel number, solar panel in normal life week Incipient fault probability and connection cables incipient fault probability in phase seek the cost of solar panel for the first time of array, replacement too Positive energy solar panel cost, solar panel connection cables cost, array totle drilling cost and array incipient fault probability, and save each Calculated result；
Specific formula for calculation is as follows:
N=NBHNBV
Y0B=nMB
YDB=KDB(n+NBV-2)MB
YB=Y0B+YHB+YDB
PBAPF=1- (1-PBPF)n(1-PWPF)2n
In formula: n is monomer solar panel quantity, Y0BFor solar panel cost, Y for the first timeHBTo replace solar battery Plate cost, YDBFor solar panel connection cables cost, YBFor array totle drilling cost, PBAPFFor array incipient fault probability；NBH For solar panel serial number, NBVFor solar panel parallel connection number, MBFor monomer solar panel price；PBPFFor too Incipient fault probability of the positive energy solar panel in normal life cycle, KDBFor solar panel array connection cables cost system Number, PWPFFor connection cables incipient fault probability；
7) judge whether solar panel parallel connection number is to allow maximum value, if it is not, step 8) is then transferred to, if so, being transferred to step It is rapid 9)；
8) solar panel parallel connection number adds 1 certainly, and is transferred to step 4)；
9) comprehensively consider array economy and power supply reliability, calculate the array synthetic system of corresponding solar panel parallel connection number Number；
Array synthetic COEFFICIENT KBCalculation formula are as follows:
In formula: YBminFor the minimum total price in all solar panel array schemes；
10) by comparing the smallest design scheme of array synthetic coefficient is chosen, design terminates.
CN201610534472.4A 2016-07-08 2016-07-08 A kind of solar panel array multi-objective optimization design of power method Expired - Fee Related CN106202705B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610534472.4A CN106202705B (en) 2016-07-08 2016-07-08 A kind of solar panel array multi-objective optimization design of power method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610534472.4A CN106202705B (en) 2016-07-08 2016-07-08 A kind of solar panel array multi-objective optimization design of power method

Publications (2)

Publication Number Publication Date
CN106202705A CN106202705A (en) 2016-12-07
CN106202705B true CN106202705B (en) 2019-04-16

Family

ID=57472658

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610534472.4A Expired - Fee Related CN106202705B (en) 2016-07-08 2016-07-08 A kind of solar panel array multi-objective optimization design of power method

Country Status (1)

Country Link
CN (1) CN106202705B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108664734B (en) * 2018-05-11 2020-02-18 深圳航天科技创新研究院 Multi-objective optimization design method and system for spacecraft power supply system and storage medium

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103312224A (en) * 2013-06-17 2013-09-18 江苏大学 Solar photovoltaic power generation system circuit and capacity design method thereof
CN104408537A (en) * 2014-12-12 2015-03-11 上海宝钢节能环保技术有限公司 Optimization design system for photovoltaic power station

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130061142A1 (en) * 2011-09-07 2013-03-07 Solarcity Corporation Systems and Methods for Mobile Design Automation
CA2800039A1 (en) * 2012-12-20 2014-06-20 Eric Chambe Mobile solar generating set

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103312224A (en) * 2013-06-17 2013-09-18 江苏大学 Solar photovoltaic power generation system circuit and capacity design method thereof
CN104408537A (en) * 2014-12-12 2015-03-11 上海宝钢节能环保技术有限公司 Optimization design system for photovoltaic power station

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
太阳能电池板的性能指标与设计原则;于燕玲等;《资源节约与环保》;20120330(第3期);第79-80页

Also Published As

Publication number Publication date
CN106202705A (en) 2016-12-07

Similar Documents

Publication Publication Date Title
CN202144772U (en) Power generating system capable of generating and storing electric power
EP2355291B1 (en) Modular electric power system with a renewable energy power generating apparatus
CN111276960A (en) Energy storage module prediction control method in light-storage direct current micro-grid system
Zeman Photovoltaic systems
CN111327053A (en) Multi-source microgrid capacity optimal configuration method suitable for polar climate
CN109888803A (en) The optimization method that hybrid energy-storing power supply capacity configures in wind and light generating system
Rossi et al. Real-time optimization of the battery banks lifetime in hybrid residential electrical systems
CN110570047A (en) user side energy storage capacity configuration system and method
CN103187784A (en) Method and device for optimizing photovoltaic charging station integrated system
Orts-Grau et al. Photovoltaic water pumping: comparison between direct and lithium battery solutions
CN106202705B (en) A kind of solar panel array multi-objective optimization design of power method
CN110098623B (en) Prosumer unit control method based on intelligent load
Femia et al. Photovoltaic-fed LED lighting system with SOC-based dimmable LED load
Newnham et al. Benefits of partial-state-of-charge operation in remote-area power-supply systems
CN107112772A (en) The electric power optimization of battery powered road lamp system
Stojković et al. Techno-economic analysis of stand-alone photovoltaic/wind/battery/hydrogen systems for very small-scale applications
Yang et al. Control scheme for energy storage in domestic households
CN106684468B (en) A kind of accumulator array multi-objective optimization design of power method
Kanniappen et al. Design Scheme for Ring-Based Extra Low Voltage Off-Grid Photovoltaic Direct Current Microgrids for Rural Electrification
CN104851050A (en) Intelligent power grid management system and method
Krupa et al. Prospects for energy storage in the world and in Poland in the 2030 horizon
Adelmann Existing Markets for Storage Systems in Off-Grid Applications
Eshtabvi et al. Rooftop PV systems as a solution to the electrical power shortage in Libya
Mbodji et al. Optimal design of an off-grid hybrid solar photovoltaic-diesel system in community electrification of a fishing village in Morocco
Taheruzzaman Designing and Sizing of standalone solar homes system integrated microgrid: for rural electrification

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20190416

Termination date: 20200708