CN106549419B - Independent microgrid system design method based on universal gravitation algorithm - Google Patents
Independent microgrid system design method based on universal gravitation algorithm Download PDFInfo
- Publication number
- CN106549419B CN106549419B CN201611116833.XA CN201611116833A CN106549419B CN 106549419 B CN106549419 B CN 106549419B CN 201611116833 A CN201611116833 A CN 201611116833A CN 106549419 B CN106549419 B CN 106549419B
- Authority
- CN
- China
- Prior art keywords
- diesel
- battery
- power
- microgrid system
- renewable energy
- 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.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 38
- 238000013461 design Methods 0.000 title claims abstract description 35
- 230000005611 electricity Effects 0.000 claims abstract description 33
- 238000011156 evaluation Methods 0.000 claims abstract description 17
- 230000007613 environmental effect Effects 0.000 claims abstract description 14
- 238000010248 power generation Methods 0.000 claims abstract description 14
- 238000006243 chemical reaction Methods 0.000 claims abstract description 11
- 238000007599 discharging Methods 0.000 claims abstract description 6
- 238000011217 control strategy Methods 0.000 claims abstract description 5
- 239000002283 diesel fuel Substances 0.000 claims description 15
- 238000005457 optimization Methods 0.000 claims description 10
- 238000006073 displacement reaction Methods 0.000 claims description 9
- 238000004146 energy storage Methods 0.000 claims description 9
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 claims description 7
- 229910052799 carbon Inorganic materials 0.000 claims description 7
- 239000000446 fuel Substances 0.000 claims description 7
- 238000004364 calculation method Methods 0.000 claims description 6
- 230000008929 regeneration Effects 0.000 claims description 6
- 238000011069 regeneration method Methods 0.000 claims description 6
- 230000001133 acceleration Effects 0.000 claims description 3
- 230000000694 effects Effects 0.000 claims description 3
- 238000012423 maintenance Methods 0.000 claims description 3
- 238000012546 transfer Methods 0.000 claims description 3
- 238000010276 construction Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 238000002485 combustion reaction Methods 0.000 description 2
- 239000005417 food ingredient Substances 0.000 description 2
- 239000000203 mixture Substances 0.000 description 2
- 235000013324 preserved food Nutrition 0.000 description 2
- NAWXUBYGYWOOIX-SFHVURJKSA-N (2s)-2-[[4-[2-(2,4-diaminoquinazolin-6-yl)ethyl]benzoyl]amino]-4-methylidenepentanedioic acid Chemical compound C1=CC2=NC(N)=NC(N)=C2C=C1CCC1=CC=C(C(=O)N[C@@H](CC(=C)C(O)=O)C(O)=O)C=C1 NAWXUBYGYWOOIX-SFHVURJKSA-N 0.000 description 1
- 241000196324 Embryophyta Species 0.000 description 1
- 240000002853 Nelumbo nucifera Species 0.000 description 1
- 235000006508 Nelumbo nucifera Nutrition 0.000 description 1
- 235000006510 Nelumbo pentapetala Nutrition 0.000 description 1
- 230000006978 adaptation Effects 0.000 description 1
- 238000010612 desalination reaction Methods 0.000 description 1
- 239000013505 freshwater Substances 0.000 description 1
- 230000008595 infiltration Effects 0.000 description 1
- 238000001764 infiltration Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000001172 regenerating effect Effects 0.000 description 1
- 230000001052 transient effect Effects 0.000 description 1
Classifications
-
- 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
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
-
- 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
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
- H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
-
- 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
- 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
- Y02E70/00—Other energy conversion or management systems reducing GHG emissions
- Y02E70/30—Systems combining energy storage with energy generation of non-fossil origin
-
- 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
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P80/00—Climate change mitigation technologies for sector-wide applications
- Y02P80/10—Efficient use of energy, e.g. using compressed air or pressurized fluid as energy carrier
- Y02P80/14—District level solutions, i.e. local energy networks
Abstract
The present invention provides a kind of independent microgrid system design method based on universal gravitation algorithm comprising following steps: step S1, establishes the independent microgrid system model with Multi-target evaluation index；The independent microgrid system model conversion of Multi-target evaluation index is the independent microgrid system model of single goal evaluation index by step S2；Step S3 chooses the blower number of units Num that may be incorporated intowt, photovoltaic battery array string number Num in parallelpv, battery parallel connection string number NumbatAs optimized variable；Step S4, determine the operation control strategy of independent microgrid system, it pays the utmost attention to meet workload demand with renewable energy power generation amount, according to the difference of renewable energy power generation amount and load institute electricity demand, to determine the charging and discharging state of battery and the start-stop of diesel-driven generator；Step S5 solves independent microgrid system model using universal gravitation algorithm.The independent microgrid system designed using the design method it is economical it is good, the feature of environmental protection is high, renewable energy utilization rate is high, power supply safety high reliability.
Description
Technical field
The invention belongs to the technical fields of distributed power generation independent microgrid system, more particularly to a kind of gravitation that is based on to calculate
The independent microgrid system design method of method.
Background technique
Independent microgrid system refer to be isolated completely with bulk power grid, self independently operated small electrical system, with remotely
Area or island are main supply object, while local renewable new energy being made full use of to generate electricity, such as wind-power electricity generation (wind
Power), photovoltaic power generation (photovoltaic, PV), wave-energy power generation (wave power) etc..
Power supply in typical island independent microgrid system is generally by photovoltaic, blower, energy storage device, diesel-driven generator, control
System and electric load composition, provide reliable and stable electric energy.Since solar energy and wind energy have stronger complementarity, island is only
Vertical micro-grid system uses wind-driven generator and solar combined power generating mode, can reduce single forms of electricity generation to a certain extent
Intermittent and fluctuation；Energy storage device is commonly used to maintain microgrid self-energy balance, guarantees the transient stability of system；Diesel-driven generator
As backup power supply, support is in case of emergency provided.All there are problems that shortage of fresh water on general island, therefore, removes
Except daily load, desalination plant is also a kind of than more typical load.Solar battery and energy-storage battery in microgrid
It is DC power supply；And wind-power electricity generation and diesel-driven generator are AC power source.
As shown in Figure 1, the power supply in existing independent microgrid system mostly uses alternating current-direct current mixed structure, battery group and photovoltaic
It is connected in parallel to DC bus through DC/DC, then ac bus is connected to by DC/AC；Wind-driven generator connects best friend through AC/DC/AC
Flow bus；Diesel-driven generator and other AC loads are connected directly to ac bus.
Existing independent microgrid system design method only only accounts for the index of load point, and there are no one kind occur rationally to examine
Consider Safety Evaluation Index, makes corresponding strategy, seek the optimal balance design method of economy and safety.If energy
One kind is enough developed not only about generation load demand, risk caused by generator unit random failure can also be quantified, safety is filled
The independent microgrid system design method of abundant property totality measurement index.The independent micro-grid designed using the design method will then be made
The great economic benefit of system, environmental benefit, social benefit etc..
Summary of the invention
The independent microgrid system design method based on universal gravitation algorithm that the object of the present invention is to provide a kind of, the present invention will
Multi-objective problem is converted into single-object problem, and weighs method surely using paried comparison and determine each sub-goal weight, then use ten thousand
There is gravitation algorithm to be solved.The independent microgrid system designed using the design method it is economical it is good, the feature of environmental protection is high, can
Utilization of regenerative energy rate height, power supply safety high reliability.
The purpose of the present invention is what is be achieved through the following technical solutions, a kind of independent micro-grid system based on universal gravitation algorithm
System design method includes the following steps:
Step S1 establishes the independent microgrid system model with Multi-target evaluation index；
Step S2, the independent microgrid system model conversion of Multi-target evaluation index is micro- for the independence of single goal evaluation index
Net system model；
Step S3 chooses the blower number of units Num that may be incorporated intowt, photovoltaic battery array string number Num in parallelpv, battery simultaneously
Connection string number NumbatAs optimized variable；
Step S4 determines the operation control strategy of independent microgrid system, pays the utmost attention to be met with renewable energy power generation amount
Workload demand, according to the difference of renewable energy power generation amount and load institute electricity demand, come determine battery charging and discharging state and
The start-stop of diesel-driven generator；
Step S5 solves independent microgrid system model using universal gravitation algorithm；
Establishing in the step S1 has the independent microgrid system model process of Multi-target evaluation index as follows:
Using Model for Multi-Objective Optimization, the optimum capacity allocation plan of each distributed generation resource in microgrid, energy-storage system is determined；
Its concrete scheme include four can quantitatively evaluating index: economic index, with total net ready-made NPC table in life cycle management
Show；Feature of environmental protection index, uses carbon emission amountIt indicates；Renewable energy utilization rate index, uses RrenIt indicates；Microgrid is safe and reliable
Property index, is indicated with load short of electricity rate LPSP；
Total net ready-made NPC refers to microgrid generated net charge in life cycle management comprising initial outlay cost,
Each section operation expense, fuel cost and displacement cost in the engineering service life, income part include that sale of electricity income and equipment are residual
Value；Mathematic(al) representation are as follows:
In formula: x is optimized variable, and N is the engineering service life [year] of microgrid, and r is discount rate, and C (i), B (i) are respectively 1 year
Cost and income [$/year]；C (i) calculation formula is as follows:
C (i)=CI(i)+CM(i)+CF(i)+CR(i)
In formula: CI(i)、CM(i)、CF(i)、CR(i) it is respectively 1 year initial outlay cost, operation expense, combustion
Expect cost and displacement cost；Specific variable calculation formula point column are as follows:
CI(k)=CIwt+CIpv+CIbat+CIde+CIconverter+CIcontrol
Wherein, CIwt、CIpv、CIbat、CIde、CIconverter、CIcontrolRespectively wind-driven generator, photovoltaic cell, electric power storage
Pond, diesel-driven generator, current transformer and microgrid management control system cost of investment；
CM(i)=CMwt(i)+CMpv(i)+CMbat(i)+CMde(i)+CMconverter(i)
Wherein, CMwt(i)、CMpv(i)、CMbat(i)、CMde(i)、CMconverter(i) be respectively 1 year wind-driven generator,
Photovoltaic cell, battery, diesel-driven generator and current transformer operation and maintenance at；
CF(i)=CFde(i)
Indicate the fuel cost of 1 year diesel-driven generator；
CR(i)=CRwt(i)+CRpv(i)+CRbat(i)+CRde(i)+CRconverter(i)
CRwt(i)、CRpv(i)、CRbat(i)、CRde(i)、CRconverter(i) it is respectively 1 year wind-driven generator, photovoltaic electric
Pond, battery, diesel-driven generator and current transformer displacement cost；
B (i)=Bsell(i)+Bsal
In formula, Bsell(i)、BsalRespectively 1 year power selling income, remanent value of equipment；Remanent value of equipment, which refers to, has reached independence
When micro-grid system service life, equipment component also not to service life and the remaining surplus value；
Carbon emission amountRefer in life cycle management microgrid to the CO of environmental emission2Amount introduces discharge punishment to calculate ring
Border cost:
In formula:Unit CO is generated for diesel oil2Caused punishment charging standard [$/kg]；For Diesel Emissions coefficient
[kg/L], i.e. CO caused by mean unit diesel oil2Amount；vdieselIt (i) is the year diesel-fuel consumption [L] of 1 year microgrid；
The ratio of micro- source annual electricity generating capacities whole in renewable energy annual electricity generating capacity and independent microgrid system is defined as can be again
Raw energy utilization rate Rren；Economic punishment is carried out to renewable energy energy unused in life cycle management:
In formula: punTo punish charging standard [] caused by the unused renewable energy of unit；TunIt (i) is i-th
Year unused renewable energy energy [kWh].
It by the independent microgrid system model conversion of Multi-target evaluation index is single goal evaluation index in the step S2
Detailed process is as follows for independent microgrid system model:
Multi-objective optimization question is converted to by single-object problem using linear weighted function summation, introduce one punishment because
Sub- σ, specific expression formula are as follows:
The weight coefficient of each sub-goal is weighed method using paried comparison surely and is determined in formula；fiIndicate that i-th of microgrid economy refers to
Mark；λiIndicate the weight coefficient of i-th of index；G (X) is used for the constraint function for indicating to be introduced by load short of electricity rate LPSP；LPSP
It is defined as not meeting the ratio of workload demand energy Yu total capacity requirement energy, value is smaller, and power supply safety reliability is higher, turns
Turn to constraint condition expression are as follows:
That is:
G (X)=λ≤0 LPSP-
Wherein, ∑ Pload-unDo not meet load and energy, ∑ P for totalloadFor total workload demand energy, if λ is 0.1%；
Meanwhile considering following constraint condition:
(1) charged state of battery no more than battery maximum carrying capacity and minimum carrying capacity limitation, i.e.,
SOCmin≤SOC(t)≤SOCmax
(2) diesel-driven generator year generated energy accounts within the 20% of the provided electricity of system, i.e.,
PDG/(PRE+PDG)≤0.2
In formula: PDGFor the power that diesel-driven generator provides, PRE=NumpvPpv+NumwtPwtThe function provided for renewable energy
Rate, PpvIndicate the power of every piece of photovoltaic panel；PwtIndicate the function of every typhoon power generator.
The detailed process of the step S4 are as follows:
According to the difference of renewable energy power generation amount and load institute electricity demand, to determine the charging and discharging state and bavin of battery
The start-stop of fry dried food ingredients motor；
Δ P (t)=PRE(t)-PL(t)
In formula: PRE(t) it indicates in moment t power as caused by renewable energy；
PRE(t)=NumpvPpv(t)+NumwtPwt(t)
Ppv(t) power caused by every piece of photovoltaic panel of moment t is indicated；Pwt(t) it indicates in every wind-power electricity generation of moment t
Power caused by machine, PL(t) power needed for indicating current transformer DC side is calculated with following formula:
PL(t)=Pload(t)/ηi
Pload(t) power needed for indicating t moment load, ηiIndicate the transfer efficiency of DC/AC current transformer；
When Δ P (t) >=0, extra capacity is to battery charging, if the electricity of battery reaches SOC charging upper limit,
Investment cold-storage ice making load is paid the utmost attention to, there such as have again to be extra, then cut-out renewable energy；
As Δ P (t) < 0, unsatisfied power can be provided by diesel-driven generator or battery, specifically:
1., by electric power storage tank discharge, closing diesel-driven generator if the electric energy stored by battery group is able to satisfy workload demand.
Pbat(t)=Δ P (t)
2. starting diesel-driven generator, at this time if the electric energy stored by battery group is not able to satisfy remaining workload demand
Battery neither discharges nor charges；
Pde(t)=PL(t)-PRE(t)
In formula: Pde(t) power that diesel-driven generator need to provide is indicated.
The detailed process of the step S5 are as follows:
1) independent microgrid system topological structure to be optimized is inputted, including blower, photovoltaic, battery, diesel engine, current transformer
Parameter and constraint condition；
2) population scale N, gravitational constant initial value G are set0, gravitation variation coefficient α, maximum number of iterations T；
3) with X=[Numwt,Numpv,Numbat] it is variable to be optimized, initial population is generated at random, by independent microgrid system
Single-goal function after design conversionAs fitness index, population at individual fitness value is evaluated, is obtained
To the initial value of globally optimal solution；fiIndicate i-th of microgrid economic indicator；λiIndicate the weight coefficient of i-th of index；
4) the gravitational constant G (t) in Population Regeneration, optimum value best (t), worst-case value worst (t)；
5) each mass of object M, and the number Kbest (t) of regeneration function object are calculated；
6) it calculates each object and is attracted the resultant force generated by effect object, calculate resultant acceleration；
7) speed and the position of object are updated；
If 8) reach maximum number of iterations T, operation is terminated, independent microgrid system is returned and designs optimal solution；Otherwise iteration
Number adds one, goes to step 3) into next iteration.
Independent microgrid system design method of the invention stores independent microgrid system around wind-light-diesel, with wind-power electricity generation in system
Board number, photovoltaic cell parallel connection string number and battery parallel connection string number are optimized variable, establish and comprehensively consider its economy, environmental protection
The objective design model of the technical-economic indexes such as property, renewable energy utilization rate, power supply safety reliability.Then by multiple target
Problem converts single-object problem, and weighs method surely using paried comparison and determine each sub-goal weight.By the single goal after conversion
Fitness index of the function as GSA algorithm, devises the capacity of the rated power of distributed generation resource and energy-storage system in system,
And the economy and safety of independent microgrid system are fully ensured that.
Detailed description of the invention
Detailed description of the invention of the invention is as follows.
Fig. 1 is the structural schematic diagram of independent microgrid system in the prior art；
Fig. 2 is that the present invention is based on the flow diagrams of the independent microgrid system design method of universal gravitation algorithm.
Specific embodiment
As shown in Fig. 2, being a kind of independent microgrid system design method based on universal gravitation algorithm provided by the invention
Flow diagram.
The present invention stores independent microgrid system around wind-light-diesel, with wind-driven generator number of units, photovoltaic cell parallel connection string in system
Several and battery parallel connection string number is optimized variable, and foundation comprehensively considers its economy, the feature of environmental protection, renewable energy utilization rate, supplies
The objective design model of the technical-economic indexes such as electric security reliability, converts single-object problem for multi-objective problem,
And it weighs method surely using paried comparison and determines each sub-goal weight, then solved using universal gravitation algorithm.
One, consider the Model for Multi-Objective Optimization of independent microgrid system safety
The main target of independent microgrid system design is interior during the design according to power demand, local renewable energy confession
To situation and the basic condition of existing network etc., optimal system Construction scheme is determined, so that the construction and operating cost of system
It is minimum.Therefore, independent microgrid system design needs to comprehensively consider economy, the feature of environmental protection, renewable energy utilization rate, the peace of microgrid
The technical-economic indexes such as full reliability.Using Model for Multi-Objective Optimization, determine that each distributed generation resource, energy-storage system are most in microgrid
Good capacity configuration scheme.Concrete scheme evaluation index includes: 1. economic index, with total ready-made net in life cycle management
NPC is indicated；2. feature of environmental protection index, is converted into carbon emission amountIt indicates；3. renewable energy utilization rate index, uses RrenIt indicates；
4. microgrid security reliability index is indicated with load short of electricity rate LPSP.In 4 quantizating index, the 1st index is economic cost,
2nd, 3 index can be converted into economic punishment expense, and because of its particularity, the present invention examines the 4th index as constraint condition
Consider.
Total net ready-made NPC refers to microgrid generated net charge in life cycle management, can use institute in life cycle management
There is the expression of the fund present worth of cost and income.Wherein, include initial outlay cost at this part, each section is run in the engineering service life
Maintenance cost, fuel cost and displacement cost, income part include sale of electricity income and remanent value of equipment.Mathematic(al) representation are as follows:
In formula: x is optimized variable, and N is the engineering service life [year] of microgrid, and r is discount rate.C (i), B (i) are respectively 1 year
Cost and income [$/year].C (i) calculation formula is as follows:
C (i)=CI(i)+CM(i)+CF(i)+CR(i) (2)
In formula: CI(i)、CM(i)、CF(i)、CR(i) it is respectively 1 year initial outlay cost, operation expense, combustion
Expect cost and displacement cost.Specific variable calculation formula point column are as follows:
CI(k)=CIwt+CIpv+CIbat+CIde+CIconverter+CIcontrol (3)
Wherein, CIwt、CIpv、CIbat、CIde、CIconverter、CIcontrolRespectively wind-driven generator, photovoltaic cell, electric power storage
Pond, diesel-driven generator, current transformer and microgrid management control system cost of investment.
CM(i)=CMwt(i)+CMpv(i)+CMbat(i)+CMde(i)+CMconverter(i) (4)
Wherein, CMwt(i)、CMpv(i)、CMbat(i)、CMde(i)、CMconverter(i) be respectively 1 year wind-driven generator,
Photovoltaic cell, battery, diesel-driven generator and current transformer operation expense.
CF(i)=CFde(i) (5)
Indicate the fuel cost of 1 year diesel-driven generator.
CR(i)=CRwt(i)+CRpv(i)+CRbat(i)+CRde(i)+CRconverter(i) (6)
CRwt(i)、CRpv(i)、CRbat(i)、CRde(i)、CRconverter(i) it is respectively 1 year wind-driven generator, photovoltaic electric
Pond, battery, diesel-driven generator and current transformer displacement cost.
B (i)=Bsell(i)+Bsal (7)
In formula, Bsell(i)、BsalRespectively 1 year power selling income, remanent value of equipment.Remanent value of equipment, which refers to, has reached microgrid
When construction period, equipment component also not to service life and the remaining surplus value.
Carbon emission amountRefer in life cycle management microgrid to the CO of environmental emission2Amount.Diesel power generation is microgrid discharge
CO2Source, therefore CO2Discharge amount be directly related with diesel-fuel consumption.It opens diesel-driven generator less as far as possible, can reduce complete
Diesel-fuel consumption in life cycle reduces CO to reach2The purpose of discharge amount.Microgrid year CO2Discharge amount is equal to year diesel-fuel consumption
With its CO2The product of emission factor.To convert economic cost for discharge amount, introduces and discharges punishment to calculate Environmental costs:
In formula:Unit CO is generated for diesel oil2Caused punishment charging standard [$/kg]；For Diesel Emissions coefficient
[kg/L], i.e. CO caused by mean unit diesel oil2Amount；vdieselIt (i) is the year diesel-fuel consumption [L] of 1 year microgrid.
By all the ratio of micro- source annual electricity generating capacity is defined as renewable energy benefit in renewable energy annual electricity generating capacity and microgrid
With rate Rren.Renewable energy utilization rate can be improved by reducing unused renewable energy energy.Equally, to life cycle management
Interior unused renewable energy energy carries out economic punishment:
In formula: punTo punish charging standard [] caused by the unused renewable energy of unit；TunIt (i) is i-th
Year unused renewable energy energy [kWh].
Two, multiple-objection optimization is converted to single object optimization
There are certain conflicts between above 3 indexs, for example, to make carbon emission amountIt is smaller, bavin is required accordingly
The opening time of fry dried food ingredients motor is shorter, then the renewable energy needed is then more, and when renewable energy reaches certain infiltration
After rate, it just will increase unused renewable energy energy, lead to RrenReduce.Therefore, it is necessary to weigh to consider each index.
Multi-objective optimization question is converted to by single-object problem using linear weighted function summation, it is designed in order to consider
The safety of microgrid introduces a penalty factor σ, specific expression formula are as follows:
The weight coefficient of each sub-goal is weighed method using paried comparison surely and is determined in formula.G (X) is for indicating by load short of electricity rate
The constraint function that LPSP is introduced.LPSP is defined as not meeting the ratio of workload demand energy Yu total capacity requirement energy, and value is got over
Small, power supply safety reliability is higher, and being converted into constraint condition may be expressed as:
That is:
G (X)=λ≤0 LPSP- (13)
Wherein, ∑ Pload-unDo not meet load and energy, ∑ P for totalloadFor total workload demand energy, the present invention set λ as
0.1%.
In order to protect battery and the feature of environmental protection, the design of microgrid should also need to consider following constraint condition:
(1) limitation of the charged state of battery no more than battery maximum carrying capacity and minimum carrying capacity.
SOCmin≤SOC(t)≤SOCmax (14)
(2) diesel-driven generator year generated energy accounts within the 20% of the provided electricity of system, i.e.,
PDG/(PRE+PDG)≤0.2 (15)
In formula: PDGFor the power that diesel-driven generator provides, PRE=NumpvPpv+NumwtPwtThe function provided for renewable energy
Rate.
Three, optimized variable is chosen
Microgrid design first needs the various lectotype selections to composition system, and technical staff determines according to the practical type selecting of engineering
Fan parameter, photovoltaic cell parameter, energy-storage battery parameter choose the blower number of units Num that may be incorporated intowt, photovoltaic battery array and
Connection string number Numpv, battery parallel connection string number NumbatAs optimized variable.
Four, independent microgrid system runs control strategy
Each microgrid design scheme is needed using specific operation control strategy.The present invention uses following control plan
Slightly: in microgrid operation, paying the utmost attention to meet workload demand with renewable energy power generation amount, according to renewable energy power generation amount and bear
The difference of lotus institute electricity demand, to determine the charging and discharging state of battery and the start-stop of diesel-driven generator.
Δ P (t)=PRE(t)-PL(t) (16)
In formula: PRE(t) it indicates in moment t power as caused by renewable energy.
PRE(t)=NumpvPpv(t)+NumwtPwt(t) (17)
PL(t) power needed for indicating current transformer DC side is calculated with following formula:
PL(t)=Pload(t)/ηi (18)
Pload(t) power needed for indicating t moment load, ηiIndicate the transfer efficiency of DC/AC current transformer.
(1) when Δ P (t) >=0, extra capacity is to battery charging, if the electricity of battery reaches in SOC charging
Limit then pays the utmost attention to investment cold-storage ice making load, and there such as have again to be extra, then cut-out renewable energy.
(2) as Δ P (t) < 0, unsatisfied power can be divided into two kinds of situations by diesel-driven generator or battery offer:
1., by electric power storage tank discharge, closing diesel-driven generator if the electric energy stored by battery group is able to satisfy workload demand.
Pbat(t)=Δ P (t) (19)
2. starting diesel-driven generator, at this time if the electric energy stored by battery group is not able to satisfy remaining workload demand
Battery neither discharges nor charges.
Pde(t)=PL(t)-PRE(t) (20)
In formula: Pde(t) power that diesel-driven generator need to provide is indicated.
Five, the design based on universal gravitation algorithm to independent microgrid system
It is solved using design mathematic model of the universal gravitation algorithm to independent microgrid system, implementation process such as Fig. 2
Shown, specific implementation procedure is following (present invention is minimum problems):
1) independent microgrid system topological structure to be optimized, the correlation of blower, photovoltaic, battery, diesel engine, current transformer are inputted
Parameter, load parameter and constraint condition.
2) population scale N, gravitational constant initial value G are set0, gravitation variation coefficient α, maximum number of iterations T.
3) with X=[Numwt,Numpv,Numbat] it is variable to be optimized, initial population is generated at random, by independent microgrid system
Single-goal function (formula (10)) after design conversion is used as fitness index, evaluates population at individual fitness value, obtains the overall situation most
The initial value of excellent solution.
4) the gravitational constant G (t) in Population Regeneration, optimum value best (t), worst-case value worst (t).
5) each mass of object M, and the number Kbest (t) of regeneration function object are calculated.
6) it calculates each object and is attracted the resultant force generated by effect object, calculate resultant acceleration.
7) speed and the position of object are updated.
If 8) reach maximum number of iterations T, operation is terminated, independent microgrid system is returned and designs optimal solution；Otherwise iteration
Number adds one, goes to step 3) into next iteration.
The present invention stores independent microgrid system around wind-light-diesel, with wind-driven generator number of units, photovoltaic cell parallel connection string in system
Several and battery parallel connection string number is optimized variable, establish comprehensively consider its economy, the feature of environmental protection, renewable energy utilization rate,
The objective design model of the technical-economic indexes such as power supply safety reliability.Then multi-objective problem conversion single object optimization is asked
Topic, and weigh method surely using paried comparison and determine each sub-goal weight.Using the single-goal function after conversion as the adaptation of GSA algorithm
Index is spent, devises the capacity of the rated power of distributed generation resource and energy-storage system in system, and fully ensured that independent micro-grid
The economy and safety of system.
Finally, it is stated that the above examples are only used to illustrate the technical scheme of the present invention and are not limiting, although referring to compared with
Good embodiment describes the invention in detail, those skilled in the art should understand that, it can be to skill of the invention
Art scheme is modified or replaced equivalently, and without departing from the objective and range of the technical program, should all be covered in the present invention
Scope of the claims in.
Claims (4)
1. a kind of independent microgrid system design method based on universal gravitation algorithm, characterized by the following steps:
Step S1 establishes the independent microgrid system model with Multi-target evaluation index；
The independent microgrid system model conversion of Multi-target evaluation index is the independent micro-grid system of single goal evaluation index by step S2
System model；
Step S3 chooses the blower number of units Num that may be incorporated intowt, photovoltaic battery array string number Num in parallelpv, battery parallel connection string number
NumbatAs optimized variable；
Step S4 determines the operation control strategy of independent microgrid system, pays the utmost attention to meet load with renewable energy power generation amount
Demand, according to the difference of renewable energy power generation amount and load institute electricity demand, to determine the charging and discharging state and diesel oil of battery
The start-stop of generator；
Step S5 solves independent microgrid system model using universal gravitation algorithm；
Establishing in the step S1 has the independent microgrid system model process of Multi-target evaluation index as follows:
Using Model for Multi-Objective Optimization, the optimum capacity allocation plan of each distributed generation resource in microgrid, energy-storage system is determined；It has
Body scheme include four can quantitatively evaluating index: economic index is indicated with total net ready-made NPC in life cycle management；Ring
Guarantor property index, uses carbon emission amountIt indicates；Renewable energy utilization rate index, uses RrenIt indicates；Microgrid security reliability refers to
Mark, is indicated with load short of electricity rate LPSP；
Total net ready-made NPC refers to microgrid generated net charge in life cycle management comprising initial outlay cost, engineering
Each section operation expense, fuel cost and displacement cost, income part include sale of electricity income and remanent value of equipment in service life；Number
Learn expression formula are as follows:
In formula: x is optimized variable, and N is the engineering service life [year] of microgrid, and r is discount rate, C (i), B (i) be respectively 1 year at
Originally and [$/year] is taken in；C (i) calculation formula is as follows:
C (i)=CI(i)+CM(i)+CF(i)+CR(i)
In formula: CI(i)、CM(i)、CF(i)、CR(i) it is respectively 1 year initial outlay cost, operation expense, fuel cost
With displacement cost；Specific variable calculation formula point column are as follows:
CI(k)=CIwt+CIpv+CIbat+CIde+CIconverter+CIcontrol
Wherein, CIwt、CIpv、CIbat、CIde、CIconverter、CIcontrolRespectively wind-driven generator, photovoltaic cell, battery, diesel oil
The cost of investment of generator, current transformer and microgrid management control system；
CM(i)=CMwt(i)+CMpv(i)+CMbat(i)+CMde(i)+CMconverter(i)
Wherein, CMwt(i)、CMpv(i)、CMbat(i)、CMde(i)、CMconverter(i) it is respectively 1 year wind-driven generator, photovoltaic
Battery, battery, diesel-driven generator and current transformer operation and maintenance at；
CF(i)=CFde(i)
CFde(i) fuel cost of 1 year diesel-driven generator is indicated；
CR(i)=CRwt(i)+CRpv(i)+CRbat(i)+CRde(i)+CRconverter(i)
CRwt(i)、CRpv(i)、CRbat(i)、CRde(i)、CRconverter(i) be respectively 1 year wind-driven generator, photovoltaic cell,
The displacement cost of battery, diesel-driven generator and current transformer；
B (i)=Bsell(i)+Bsal
In formula, Bsell(i)、BsalRespectively 1 year power selling income, remanent value of equipment；Remanent value of equipment, which refers to, has reached independent micro-grid
When system service life, equipment component also not to service life and the remaining surplus value；
Carbon emission amountRefer in life cycle management microgrid to the CO of environmental emission2Amount, introduce discharge punishment come calculate environment at
This:
In formula:Unit CO is generated for diesel oil2Caused punishment charging standard [$/kg]；For Diesel Emissions coefficient [kg/
L], i.e. CO caused by mean unit diesel oil2Amount；vdieselIt (i) is the year diesel-fuel consumption [L] of 1 year microgrid；
By all the ratio of micro- source annual electricity generating capacity is defined as renewable energy in renewable energy annual electricity generating capacity and independent microgrid system
Source utilization rate Rren；Economic punishment is carried out to renewable energy energy unused in life cycle management:
In formula: punTo punish charging standard [] caused by the unused renewable energy of unit；Tun(i) not for 1 year
The renewable energy energy [kWh] utilized.
2. a kind of independent microgrid system design method based on universal gravitation algorithm according to claim 1, feature exist
In: in the step S2 by the independent microgrid system model conversion of Multi-target evaluation index be single goal evaluation index independence it is micro-
Detailed process is as follows for net system model:
Multi-objective optimization question is converted to by single-object problem using linear weighted function summation, introduces a penalty factor σ,
Specific expression formula are as follows:
The weight coefficient of each sub-goal is weighed method using paried comparison surely and is determined in formula；fiIndicate i-th of microgrid economic indicator；λi
Indicate the weight coefficient of i-th of index；G (X) is used for the constraint function for indicating to be introduced by load short of electricity rate LPSP；LPSP is defined as
The ratio of workload demand energy Yu total capacity requirement energy is not met, value is smaller, and power supply safety reliability is higher, is converted into about
Beam condition indicates are as follows:
That is:
G (X)=λ≤0 LPSP-
Wherein, ∑ Pload-unDo not meet load and energy, ∑ P for totalloadFor total workload demand energy, if λ is 0.1%；
Meanwhile considering following constraint condition:
(1) charged state of battery no more than battery maximum carrying capacity and minimum carrying capacity limitation, i.e.,
SOCmin≤SOC(t)≤SOCmax
(2) diesel-driven generator year generated energy accounts within the 20% of the provided electricity of system, i.e.,
PDG/(PRE+PDG)≤0.2
In formula: PDGFor the power that diesel-driven generator provides, PRE=NumpvPpv+NumwtPwtFor the power that renewable energy provides,
PpvIndicate the power of every piece of photovoltaic panel；PwtIndicate the power of every typhoon power generator.
3. a kind of independent microgrid system design method based on universal gravitation algorithm according to claim 2, feature exist
In: the detailed process of the step S4 are as follows:
According to the difference of renewable energy power generation amount and load institute electricity demand, to determine the charging and discharging state and diesel oil hair of battery
The start-stop of motor；
Δ P (t)=PRE(t)-PL(t)
In formula: PRE(t) it indicates in moment t power as caused by renewable energy；
PRE(t)=NumpvPpv(t)+NumwtPwt(t)
Ppv(t) power caused by every piece of photovoltaic panel of moment t is indicated；Pwt(t) it indicates to be produced in the every typhoon power generator of moment t
Raw power, PL(t) power needed for indicating current transformer DC side is calculated with following formula:
PL(t)=Pload(t)/ηi
Pload(t) power needed for indicating t moment load, ηiIndicate the transfer efficiency of DC/AC current transformer；
When Δ P (t) >=0, extra capacity is to battery charging, if the electricity of battery reaches SOC charging upper limit, preferentially
Consider that investment cold-storage makes ice load, there such as have again to be extra, then cut-out renewable energy；
As Δ P (t) < 0, unsatisfied power can be provided by diesel-driven generator or battery, specifically:
1., by electric power storage tank discharge, closing diesel-driven generator if the electric energy stored by battery group is able to satisfy workload demand；
Pbat(t)=Δ P (t)
2. starting diesel-driven generator, at this time electric power storage if the electric energy stored by battery group is not able to satisfy remaining workload demand
It neither discharges nor charges in pond；
Pde(t)=PL(t)-PRE(t)
In formula: Pde(t) power that diesel-driven generator need to provide is indicated.
4. a kind of independent microgrid system design method based on universal gravitation algorithm according to claim 3, feature exist
In: the detailed process of the step S5 are as follows:
1) independent microgrid system topological structure to be optimized, the parameter including blower, photovoltaic, battery, diesel engine, current transformer are inputted
And constraint condition；
2) population scale N, gravitational constant initial value G are set0, gravitation variation coefficient α, maximum number of iterations T；
3) with X=[Numwt,Numpv,Numbat] it is variable to be optimized, initial population is generated at random, and independent microgrid system is designed
Single-goal function after conversionAs fitness index, population at individual fitness value is evaluated, is obtained complete
The initial value of office's optimal solution；fiIndicate i-th of microgrid economic indicator；λiIndicate the weight coefficient of i-th of index；
4) the gravitational constant G (t) in Population Regeneration, optimum value best (t), worst-case value worst (t)；
5) each mass of object M, and the number Kbest (t) of regeneration function object are calculated；
6) it calculates each object and is attracted the resultant force generated by effect object, calculate resultant acceleration；
7) speed and the position of object are updated；
If 8) reach maximum number of iterations T, operation is terminated, independent microgrid system is returned and designs optimal solution；Otherwise the number of iterations
Add one, goes to step 3) into next iteration.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611116833.XA CN106549419B (en) | 2016-12-07 | 2016-12-07 | Independent microgrid system design method based on universal gravitation algorithm |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611116833.XA CN106549419B (en) | 2016-12-07 | 2016-12-07 | Independent microgrid system design method based on universal gravitation algorithm |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106549419A CN106549419A (en) | 2017-03-29 |
| CN106549419B true CN106549419B (en) | 2019-03-15 |
Family
ID=58396503
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201611116833.XA Active CN106549419B (en) | 2016-12-07 | 2016-12-07 | Independent microgrid system design method based on universal gravitation algorithm |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106549419B (en) |
Families Citing this family (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107038535A (en) * | 2017-04-27 | 2017-08-11 | 湘潭大学 | A kind of intelligent micro-grid building load electricity consumption dispatching method for improving gravitation search |
| CN107203129B (en) * | 2017-05-16 | 2020-05-05 | 上海虹桥商务区能源服务有限公司 | Regional triple co-generation increment optimization control method |
| CN110165688B (en) * | 2019-04-24 | 2022-08-30 | 南京邮电大学 | Optimal design method and device for combined heat and power generation type hybrid renewable energy system |
| CN110417045A (en) * | 2019-06-03 | 2019-11-05 | 湖北省电力勘测设计院有限公司 | A kind of optimization method for alternating current-direct current mixing micro-capacitance sensor capacity configuration |
| CN110110948B (en) * | 2019-06-13 | 2023-01-20 | 广东电网有限责任公司 | Multi-target distributed power supply optimal configuration method |
| CN111798035A (en) * | 2020-06-10 | 2020-10-20 | 南昌大学 | Independent microgrid system capacity planning method based on improved gravity search algorithm |
| CN112347694B (en) * | 2020-10-26 | 2023-05-12 | 重庆大学 | Island micro-grid power supply planning method for power generation by ocean current, offshore wind power and tidal current |
| CN113011731B (en) * | 2021-03-16 | 2022-08-02 | 西华大学 | Small-sized independent power system reliability evaluation method based on OSNPS system |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104022534A (en) * | 2014-06-17 | 2014-09-03 | 华北电力大学 | Multi-target coordinated operation optimization method of wind and photovoltaic storage electricity generation units |
| EP3041109A1 (en) * | 2013-08-30 | 2016-07-06 | Kyocera Corporation | Distributed power supply system and power conditioner |
-
2016
- 2016-12-07 CN CN201611116833.XA patent/CN106549419B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP3041109A1 (en) * | 2013-08-30 | 2016-07-06 | Kyocera Corporation | Distributed power supply system and power conditioner |
| CN104022534A (en) * | 2014-06-17 | 2014-09-03 | 华北电力大学 | Multi-target coordinated operation optimization method of wind and photovoltaic storage electricity generation units |
Non-Patent Citations (1)
| Title |
|---|
| "基于遗传算法的独立型风光互补发电容量优化";刘艳平等;《电力系统及其自动化学报》;20151031;第27卷(第10期);第69-73页 |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106549419A (en) | 2017-03-29 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106549419B (en) | Independent microgrid system design method based on universal gravitation algorithm | |
| Chauhan et al. | A review on Integrated Renewable Energy System based power generation for stand-alone applications: Configurations, storage options, sizing methodologies and control | |
| CN109325608B (en) | Distributed power supply optimal configuration method considering energy storage and considering photovoltaic randomness | |
| CN104362677B (en) | A kind of active distribution network distributes structure and its collocation method rationally | |
| CN108667052A (en) | A kind of polymorphic type energy-storage system planning and configuration method and system of Virtual optimal power plant operation | |
| CN109473976B (en) | Combined cooling heating and power type microgrid energy scheduling method and system | |
| CN111293718B (en) | AC/DC hybrid micro-grid partition two-layer optimization operation method based on scene analysis | |
| CN107482690B (en) | Power system scheduling optimization method and system for cooperative scheduling of wind power and electric automobile | |
| CN114519543B (en) | Edge autonomous operation method and system for rural multi-energy system | |
| CN105958537A (en) | Energy conversion system facing energy Internet and optimal control method thereof | |
| Rad et al. | Excess electricity problem in off-grid hybrid renewable energy systems: A comprehensive review from challenges to prevalent solutions | |
| Li et al. | Optimal planning of Electricity–Hydrogen hybrid energy storage system considering demand response in active distribution network | |
| Wang et al. | A hybrid transmission network in pelagic islands with submarine cables and all-electric vessel based energy transmission routes | |
| CN105470947A (en) | Micro-power-grid scheduling method based on quantum-behaved particle swarm optimization | |
| CN110120682B (en) | Power supply optimization scheduling method for tower barrel elevator with minimum lost air volume | |
| CN115526381A (en) | Zero-carbon park optimization planning method and device for energy Internet | |
| Wang et al. | Optimal configuration of an off-grid hybrid wind-hydrogen energy system: Comparison of two systems | |
| Weiqiang et al. | Multi-objective optimisation of ship microgrid research based on priority selective control strategy of diesel generator and energy storage | |
| Zhang et al. | Multiobjective Economic Optimal Dispatch for the Island Isolated Microgrid under Uncertainty Based on Interval Optimization | |
| Gao et al. | A Review of Optimization of Microgrid Operation. Energies 2021, 14, 2842 | |
| CN104578135B (en) | Power predictability control method based on heterogeneous energy storage system | |
| Yang et al. | Research on user energy storage optimization system considering a grid-on new energy | |
| Wu et al. | Capacity Optimal Allocation Strategy of Energy Storage System Based on Fruit Fly Optimization Algorithm | |
| Ghiasi et al. | Economic Evaluation of Using Battery Storage in Smart Grid with Distributed Generation Units in Day Ahead Market | |
| Luo et al. | The dynamic multi-objective optimal dispatch of grid-connected micro grid |
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 |