CN107391869A - A kind of alternating current-direct current series-parallel connection micro-grid system design method - Google Patents
A kind of alternating current-direct current series-parallel connection micro-grid system design method Download PDFInfo
- Publication number
- CN107391869A CN107391869A CN201710645633.1A CN201710645633A CN107391869A CN 107391869 A CN107391869 A CN 107391869A CN 201710645633 A CN201710645633 A CN 201710645633A CN 107391869 A CN107391869 A CN 107391869A
- Authority
- CN
- China
- Prior art keywords
- mrow
- msub
- mtd
- power
- direct current
- 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
Links
- 238000013461 design Methods 0.000 title claims abstract description 45
- 238000000034 method Methods 0.000 title claims abstract description 43
- 238000005457 optimization Methods 0.000 claims abstract description 40
- 238000009434 installation Methods 0.000 claims abstract description 32
- 238000000354 decomposition reaction Methods 0.000 claims abstract description 11
- 238000000342 Monte Carlo simulation Methods 0.000 claims abstract description 6
- 230000001932 seasonal effect Effects 0.000 claims abstract description 5
- 230000005611 electricity Effects 0.000 claims description 16
- 238000010248 power generation Methods 0.000 claims description 9
- 238000010977 unit operation Methods 0.000 claims description 9
- 238000012360 testing method Methods 0.000 claims description 8
- 238000005094 computer simulation Methods 0.000 claims description 5
- 239000000446 fuel Substances 0.000 claims description 5
- 238000005286 illumination Methods 0.000 claims description 5
- 238000011156 evaluation Methods 0.000 claims description 4
- 239000002699 waste material Substances 0.000 claims description 4
- 230000009977 dual effect Effects 0.000 claims description 3
- 230000005540 biological transmission Effects 0.000 claims description 2
- 238000004364 calculation method Methods 0.000 claims description 2
- 238000012423 maintenance Methods 0.000 claims description 2
- 238000011084 recovery Methods 0.000 claims description 2
- 238000012067 mathematical method Methods 0.000 claims 2
- 239000004744 fabric Substances 0.000 claims 1
- 238000005516 engineering process Methods 0.000 description 5
- 238000004146 energy storage Methods 0.000 description 4
- 238000006243 chemical reaction Methods 0.000 description 3
- 230000010354 integration Effects 0.000 description 2
- 230000001172 regenerating effect Effects 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 241000229175 Calotes Species 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 239000012141 concentrate Substances 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000007796 conventional method Methods 0.000 description 1
- 230000007423 decrease Effects 0.000 description 1
- 238000011234 economic evaluation Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 230000004807 localization Effects 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
- 238000003786 synthesis reaction Methods 0.000 description 1
- 230000009897 systematic effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/18—Network design, e.g. design based on topological or interconnect aspects of utility systems, piping, heating ventilation air conditioning [HVAC] or cabling
-
- 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
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- 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—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2111/00—Details relating to CAD techniques
- G06F2111/06—Multi-objective optimisation, e.g. Pareto optimisation using simulated annealing [SA], ant colony algorithms or genetic algorithms [GA]
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Human Resources & Organizations (AREA)
- General Business, Economics & Management (AREA)
- Marketing (AREA)
- Tourism & Hospitality (AREA)
- Geometry (AREA)
- Health & Medical Sciences (AREA)
- Development Economics (AREA)
- Quality & Reliability (AREA)
- Evolutionary Computation (AREA)
- Game Theory and Decision Science (AREA)
- Computer Hardware Design (AREA)
- Pure & Applied Mathematics (AREA)
- Entrepreneurship & Innovation (AREA)
- Mathematical Optimization (AREA)
- Operations Research (AREA)
- General Engineering & Computer Science (AREA)
- Mathematical Analysis (AREA)
- Computational Mathematics (AREA)
- Computer Networks & Wireless Communication (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
A kind of alternating current-direct current series-parallel connection micro-grid system design method, the dry run data under different connected mode and Various Seasonal characteristics are generated by Monte Carlo method, obtain the contextual data for planning and designing at random;The installation cost model and operating cost model of all kinds of power supplys are established, and is established with the alternating current-direct current series-parallel connection micro-grid system mathematical optimization models of the minimum object function of year cash flow, while meets all kinds of constraintss such as reliability;The alternating current-direct current series-parallel connection micro-grid system mathematical optimization models of discrete variable containing integer and operation continuous variable are solved using mathematic decomposition method, the mixed integer nonlinear optimization model decomposition of complexity is optimized into subproblem into capacity configuration primal problem, certificate authenticity subproblem and dry run, subproblem, which returns to primal problem reliability, to be cut and optimizes operation and cut, and passes through iterative;By above-mentioned steps, alternating current-direct current series-parallel connection micro-grid system optimizing design scheme is finally obtained.
Description
Technical field
The present invention relates to a kind of design method of micro-grid system, more particularly to a kind of design of alternating current-direct current series-parallel connection micro-grid system
Method.
Background technology
Micro power network, abbreviation microgrid, is made up of load and micro power.Described micro power is mainly by power electronics device
Part is responsible for the conversion of energy, and provides required control.Relative to outside bulk power grid, microgrid shows as single controlled cell,
Microgrid can meet requirement of the user to the quality of power supply and power supply safety etc. simultaneously;Microgrid realizes the localization profit of regenerative resource
With, its link of not transmitting electricity compared with traditional power supply mode, be it is a kind of efficiently, the resources integration mode of environmental protection.With can
The continuous progress of renewable source of energy generation technology, Power Electronic Technique, information technology and Internet technology, micro-grid system by less to
It is more, it is fast-developing.However, the main research work of microgrid at present concentrates on operation control, energy management and system integration etc.
Aspect, the microgrid design studies on microgrid planning and designing particularly alternating current-direct current series-parallel connection type are less, mostly by engineering experience
Engineer, planning and designing result relative coarseness are often not scientific and reasonable enough.
A large amount of DC equipments such as electric automobile, illumination, communication, energy storage, while photovoltaic are usually contained in microgrid
The power supplys such as generating are also DC form, therefore can greatly reduce intermediate conversion link, lifting system using direct current supply mode
Efficiency of energy utilization;Meanwhile in straight-flow system, the problem of due in the absence of idle harmonic etc., many losses have bright
It is aobvious to decline, the higher quality of power supply can be simply obtained, compared to the three-phase four-wire system of AC distribution, DC distribution only needs two
Wire, required construction cost are few.Therefore, the situation that Alternating Current Power Supply and direct current supply can be formed in microgrid and is deposited, exchange with
Direct current complements one another.
In alternating current-direct current series-parallel connection microgrid, ring network power supply can be realized by flexible direct current device, greatly promote the tide of system
Flow-control capability, system distributed power source installation utilization ratio greatly improve;Simultaneously as regenerative resource and load is dual
Whether fluctuation results in the need for reasonable come analysis and evaluation power supply installation situation by a large amount of simulations to following Run-time scenario.Cause
This, current existing AC distribution planning and designing and economic evaluation method are difficult to adapt to new demand, for alternating current-direct current series-parallel connection
Micro-grid system design problem urgently new solution method.
At present, the research both at home and abroad for alternating current-direct current series-parallel connection micro-grid system design method is also relatively fewer, and technology is relatively empty
In vain, often without in detail between consideration alternating current-direct current microgrid connected mode, power supply installed capacity and system dynamic operation during design
Coupled relation, design are difficult to meet economical operation and reliability requirement.
The content of the invention
The shortcomings that the present invention seeks to overcome prior art, solve existing alternating current-direct current series-parallel connection micro-grid system and be designed without in detail
Consider the coupled relation between alternating current-direct current microgrid connected mode, power supply installed capacity and system dynamic operation, cause design result
The problem of being difficult in adapt to the following method of operation, propose a kind of design method of alternating current-direct current series-parallel connection micro-grid system.The present invention is ensureing
Under the premise of systematic design discipline, design safety are reliable, optimum choice alternating current-direct current microgrid connected mode and system power supply installation are held
Amount;Optimized on the basis of reflection system comprehensive method of investment economy and performance driving economy Optimized model is established, avoid routine
Design the installation that brings it is excessive cause to waste or install insufficient influence system reliability service the problems such as, improve the rule of micro-grid system
Draw design level.
The main application of the present invention is alternating current-direct current mixing micro-grid system, and the alternating current-direct current mixing micro-grid system includes can be again
Raw energy source electric generating device, distributed power source, electric automobile charging station, energy storage device, AC/DC convertor etc., the alternating current-direct current series-parallel connection
Micro-grid system is connected to external electrical network by transformer.Renewable energy power generation has with load in the alternating current-direct current series-parallel connection micro-grid system
Have two-way fluctuation and randomness, Run-time scenario complexity is various, how processing system connected mode, installed capacity and system operation
The coupled relation of mode is the key of system design.
Generation, the alternating current-direct current series-parallel connection that the design method of alternating current-direct current series-parallel connection micro-grid system of the present invention includes planning and designing scene are micro-
Connected mode and the power supply installation of alternating current-direct current micro-grid system are tried to achieve in the steps such as net system modelling, mathematical optimization models solution, optimization
Capacity, it is specific as follows:
The system alternating current-direct current payload and distribution, the sun that described planning and designing scene generating method obtains according to prediction
Energy photovoltaic generation curve and distribution, wind-power electricity generation curve and distribution, electric automobile charging station electricity consumption curve and distribution, design friendship are straight
The feasible connected mode of microgrid is flowed, obtains connected mode collection;Meanwhile in order to enter to the following complicated Run-time scenario of alternating current-direct current series-parallel connection microgrid
Row, which is assessed, to be calculated, and generates the dry run data under different connected mode and Various Seasonal characteristics at random by Monte Carlo method,
Obtain the contextual data for planning and designing.
Described alternating current-direct current series-parallel connection micro-grid system modeling needs to consider the installation cost model of all kinds of power supplys and operating cost
Model, and establish with the alternating current-direct current series-parallel connection micro-grid system mathematical optimization models of the minimum object function of year cash flow, it is simultaneously full
All kinds of constraintss such as sufficient reliability.Year cash flow in object function includes four parts, at the beginning of Part I is power supply to be selected
Begin the year conversion cost invested, and characterizes the influence that cost of investment is installed to power supply;Part II is generating set annual operating and maintenance cost,
Characterize influence of the operating states of the units to installation;Part III is alternating current-direct current micro-grid system and external electrical network electric energy switching cost,
Characterize influence of the electric network state to installation;Part IV abandons light cost to abandon wind, when sign renewable energy power generation installation is superfluous
Caused by waste.In order to ensure system safety, rationally, reliably operation, mathematical optimization models should also meet to constrain bar as follows
Part:Electrical power Constraints of Equilibrium;Unit operation is limited, and unit should be run between ratio of minimum load to maximum load and peak load rate;Node
Voltage boundary constraint;Microgrid constrains with external electrical network Power Exchange;The boundary constraint of machine kludge and Integer constrained characteristic.Pass through above-mentioned side
Method, finally obtain alternating current-direct current series-parallel connection micro-grid system mixed integer nonlinear optimization design.
Described model solution step uses friendship of the mathematic decomposition method to discrete variable containing integer and operation continuous variable
Direct current series-parallel connection micro-grid system mathematical optimization models are solved.The COMPLEX MIXED integral nonlinear Optimized model that the present invention is established
In containing the integer variable related to investment and largely with running the continuous variable of correlation, it is difficult to be asked with conventional method to cause model
Solution.Applied mathematics decomposition method of the present invention by complexity mixed integer nonlinear optimization model decomposition into capacity configuration primal problem,
Certificate authenticity subproblem and dry run optimization subproblem, subproblem, which returns to primal problem reliability, to be cut and optimizes operation and cut,
And pass through iterative.Finally obtain alternating current-direct current series-parallel connection micro-grid system optimizing design scheme.
The invention has the characteristics that:
(1) present invention is proposed when alternating current-direct current series-parallel connection micro-grid system designs, and considers that alternating current-direct current connected mode is answered with system
Miscellaneous Run-time scenario, and using the Monte Carlo method generation available planning and designing scene of system.
(2) present invention analyzes the installation cost and operating cost relation of alternating current-direct current series-parallel connection micro-grid system, establishes synthesis
The year cash flow model of evaluation system optimization design.
(3) present invention uses mathematic decomposition method, and alternating current-direct current series-parallel connection micro-grid system mathematical optimization models are decomposed into appearance
Amount configuration primal problem, certificate authenticity subproblem and dry run optimization subproblem, by iterative, the alternating current-direct current series-parallel connection is micro-
Net system mixed integer nonlinear optimization designs a model, and this method is with good expansibility.
Brief description of the drawings
Fig. 1 is alternating current-direct current series-parallel connection micro-grid system composition structural representation;
Fig. 2 is the specific implementation step flow chart of the present invention.
Embodiment
The present invention is further illustrated below in conjunction with the drawings and specific embodiments.
Fig. 1 show the main application alternating current-direct current series-parallel connection micro-grid system of the present invention.The system includes ac bus, straight
Stream bus, AC load, DC load, solar energy power generating PV, wind-power electricity generation WT, distributed power source DG, electric automobile fill
Power station EV, energy-storage units ES, AC/DC convertor etc..Solar energy power generating, wind-power electricity generation, electric automobile charging station, energy storage
Unit and DC load are connected with dc bus forms direct current supply part, distributed power source, AC load and ac bus
It is connected and forms Alternating Current Power Supply part, direct current supply part is connected with Alternating Current Power Supply part by AC/DC convertor, and alternating current-direct current mixes
Connection micro-grid system is connected with external electrical network, it is possible to achieve grid-connected to be run with isolated island double mode.
Alternating current-direct current series-parallel connection micro-grid system design method of the present invention includes the generation of planning and designing scene, alternating current-direct current series-parallel connection microgrid
The steps such as system modelling, mathematical optimization models solution, as shown in Figure 2:First according to alternating current-direct current series-parallel connection micro-grid system power supply, load
Situation, planning and designing scene is generated using Monte Carlo method, Optimized System Design model is established, mathematical optimization models is decomposed into
Capacity configuration primal problem, reliability subproblem and dry run subproblem are iterated solution, and it is micro- to finally obtain alternating current-direct current series-parallel connection
Net Optimized System Design scheme.Specific steps describe in detail as follows:
(1) the planning and designing scene of alternating current-direct current series-parallel connection micro-grid system is firstly generated;
According to the obtained micro-grid system alternating current-direct current payload of prediction and distribution, solar energy power generating curve and distribution,
Wind-power electricity generation curve and distribution, electric automobile charging station electricity consumption curve and distribution, the feasible connected mode of design alternating current-direct current microgrid,
Obtain connected mode collection;Meanwhile in order to carry out assessment calculating to the following complicated Run-time scenario of alternating current-direct current series-parallel connection microgrid, it is special by covering
Calot's method generates the dry run data under different connected mode and Various Seasonal characteristics at random, obtains the field for planning and designing
Scape data.
(2) alternating current-direct current series-parallel connection micro-grid system model is established;
1) the installation cost model and operating cost model of all kinds of power supplys are established.
Solar energy power generating power output model:
In formula, ppvFor solar energy power generating power output;PSTCFor the full test power under standard test condition;GSTC
For the intensity of illumination under standard test condition;GTTo be actually incident on the intensity of illumination in photovoltaic panel;K is temperature power coefficient;Tc
For cell panel operating temperature;TrFor reference temperature, 25 DEG C are taken as.
Wind-power electricity generation power output model:
In formula:pwtFor output power of wind power generation;vinFor incision wind speed, vnFor rated wind speed, voutFor cut-out wind speed;pwtn
For blower fan rated power;awt、bwt、cwt、dwtFor wind speed-power curve fitting parameter.
Miniature gas turbine installation operating cost model:
F(pmt)=αmtpmt+βmt
In formula:F(pmt) be miniature gas turbine Fuel Consumption cost;pmtFor miniature gas turbine power output;
αmt、βmtFor the fitting coefficient of fuel consumption.
The installation cost of solar energy power generating, wind-power electricity generation and miniature gas turbine is multiplied by dress according to unit installation cost
Machine amount of capacity calculates, and cost of installing waits year value fee calculation procedure:
CAcap=Ccap*CRF(γ,k)-Cs*SFF(γ,k)
In formula:CAcapFor the year equivalence expense of equipment installation cost;CcapFor equipment installation cost;CsIt is residual for equipment Anqi end
Value;K is the equipment life time limit;CRF (i, k) is recovery of the capital coefficient;SFF (i, k) is sinking fund factor;I is true rate of interest;
I ' is norminal interest rate;F is annual inflation.
2) establish with the alternating current-direct current series-parallel connection micro-grid system mathematical optimization models of the minimum object function of year cash flow, simultaneously
Meet all kinds of constraintss such as reliability.
Object function:
In formula, Min, which is represented, to be minimized;CmFor power supply m unit capacity installation cost;PmInstalled capacity for power supply m is big
It is small;ce(t) power network tou power price when being t;pe(t) from the electrical power of power network input microgrid when being t;ploss(t) wind is abandoned when being t to abandon
Luminous power;M is number of power sources;T is annual hours of operation.Part I is the year of power supply initial outlay to be selected in object function
Cost is converted, characterizes the influence that cost of investment is installed to power supply;Part II is generating set year operation expense, characterizes machine
Influence of the group running status to installation;Part III is alternating current-direct current micro-grid system and external electrical network electric energy switching cost, characterizes electricity
Influence of the net state to installation;Part IV abandons light cost to abandon wind, characterizes caused by when renewable energy power generation installs superfluous
Waste.
Constraints:
Timesharing electrical power Constraints of Equilibrium:
pmt(t)+ppv(t)+pwt(t)+pe(t)=pl (t)+ploss(t)
In formula, the electrical power of load when pl (t) is t;ppv(t) solar energy power generating power output when being t;pwt(t) it is
Output power of wind power generation during t.
Unit operation restriction:
pmmin≤pm(t)≤pmmax
pm(t)≤Pm
In formula, pm(t) it is power outputs of the unit m in t;pmmaxFor unit m maximum electric power export-restriction, pmmin
For unit m minimum electrical power export-restriction.
Node voltage boundary constraint:
In formula, vac_iTo exchange the voltage of node i,For exchange node i coboundary=,For for exchange node i
Lower boundary;vdc_iFor DC node i voltage,For DC node i coboundary,For for the following of DC node i
Boundary.
External electrical network interface power limits:Microgrid can not only allow the energy of falling power transmission from external electrical network absorbed power.
0≤pe(t)≤pemax
In formula, pemaxFor the maximum allowable electrical power absorbed from external electrical network.
Machine kludge border and Integer constrained characteristic:
PmFor integer;
In formula, PmFor installed capacity,For the coboundary of installed capacity,For the lower boundary for installed capacity.
(3) alternating current-direct current series-parallel connection micro-grid system mathematical optimization models are solved;
The present invention is using mathematic decomposition method to discrete variable containing integer and the alternating current-direct current series-parallel connection microgrid of operation continuous variable
Optimized System Design model is solved, by complexity mixed integer nonlinear optimization model decomposition into capacity configuration primal problem,
Certificate authenticity subproblem and dry run optimization subproblem, subproblem, which returns to primal problem reliability, to be cut and optimizes operation and cut,
And by iterative, it is specific as follows:
The alternating current-direct current series-parallel connection micro-grid system mathematical optimization models described in step (2) are organized into following form first:
Object function:
Min f(x1,…,xn;y1,…,ym)
Constraints:
hk(x1,…,xn;y1,…,ym)=0;K=1 ..., q
gl(x1,…,xn;y1,…,ym)≤0;L=1 ..., r
In formula, f (x1,…,xn;y1,…,ym) it is object function, represent alternating current-direct current series-parallel connection micro-grid system year cash flow;xi
For installed capacity integer optimized variable,For the coboundary of installed capacity integer optimized variable,For for installed capacity integer
The lower boundary of optimized variable, n are the quantity of installed capacity integer optimized variable;yiOptimization is contacted for unit operation power output to become
Amount,The coboundary of optimized variable is contacted for unit operation power output,Optimize to be contacted for unit operation power output
The lower boundary of variable, m are its quantity of unit operation power output contact optimized variable;hkFor equality constraint, its quantity is
q;glFor inequality constraints, its quantity is r.
1) capacity configuration primal problem represents as follows:
Object function:
Min α
Constraints:
αdown≤α
In formula, α is optimization aim, αdownFor optimization aim lower boundary;λiThe dual variable value for solving to obtain for subproblem;k
Represent kth time iteration;P represents iterations;Wherein, first constraints is added to solve after dry run optimizes subproblem
Optimization operation cut.
The solving result of primal problem isAnd α(p), subscript p represents pth time iteration, as known quantity for simulating
Subproblem is run to use.
2) certificate authenticity subproblem represents as follows:
Whether size of test configuration primal problem meets following constraints:
In formula, χ is system reliability evaluation coefficient;Max (pl (t)) is system peak load.
If being unsatisfactory for certificate authenticity, above-mentioned constraints is cut as reliability and is added to capacity configuration primal problem
Re-optimization calculates, if meeting certificate authenticity, carries out next step calculating.
3) dry run optimization subproblem represents as follows::
Object function:
Min f(x1,…,xn;y1,…,ym)
Constraints:
hk(x1,…,xn;y1,…,ym)=0;K=1 ..., q
gl(x1,…,xn;y1,…,ym)≤0;L=1 ..., r
In formula,For the solving result of primal problem.
The solving result of dry run subproblem isWithCapacity configuration is supplied as known quantity
Primal problem uses.
The optimizing design scheme of alternating current-direct current series-parallel connection micro-grid system can be obtained by above-mentioned steps (1)-step (3).
Claims (8)
- A kind of 1. design method of alternating current-direct current series-parallel connection micro-grid system, it is characterised in that:Described design method includes planning and designing Generation, the modeling of alternating current-direct current series-parallel connection micro-grid system and the mathematical optimization models of scene solve;Described planning and designing scene generation step Suddenly it is to generate the dry run data under different connected mode and Various Seasonal characteristics at random by Monte Carlo method, is used for The contextual data of planning and designing;Described alternating current-direct current series-parallel connection micro-grid system modeling procedure is the installation cost mould for establishing all kinds of power supplys Type and operating cost model, and establish with the alternating current-direct current series-parallel connection micro-grid system optimization design of the minimum object function of year cash flow Model, while meet all kinds of constraintss such as reliability;Described mathematical optimization models solution procedure is to use mathematic decomposition side Method solves to the alternating current-direct current series-parallel connection micro-grid system mathematical optimization models of discrete variable containing integer and operation continuous variable, will be multiple Miscellaneous mixed integer nonlinear optimization model decomposition optimizes into capacity configuration primal problem, certificate authenticity subproblem and dry run Subproblem, subproblem, which returns to primal problem reliability, to be cut and optimizes operation and cut, and passes through iterative;By above-mentioned steps, most After obtain alternating current-direct current series-parallel connection micro-grid system optimizing design scheme.
- 2. according to the design method of the alternating current-direct current series-parallel connection micro-grid system described in claim 1, it is characterised in that:Described planning is set The system alternating current-direct current payload and distribution, solar energy power generating curve that meter scene generation step obtains according to prediction are with dividing Cloth, wind-power electricity generation curve and distribution, electric automobile charging station electricity consumption curve and distribution, design the feasible connection side of alternating current-direct current microgrid Formula, obtain connected mode collection;Meanwhile in order to carry out assessment calculating to the following complicated Run-time scenario of alternating current-direct current series-parallel connection microgrid, pass through Monte Carlo method generates the dry run data under different connected mode and Various Seasonal characteristics at random, obtains being used for planning and designing Contextual data.
- 3. according to the design method of the alternating current-direct current series-parallel connection micro-grid system described in claim 1, it is characterised in that:Described alternating current-direct current In series-parallel connection micro-grid system modeling procedure, installation cost model and the operating cost model for establishing all kinds of power supplys are as follows:Solar energy power generating power output model:<mrow> <msub> <mi>p</mi> <mrow> <mi>p</mi> <mi>v</mi> </mrow> </msub> <mo>=</mo> <msub> <mi>P</mi> <mrow> <mi>S</mi> <mi>T</mi> <mi>C</mi> </mrow> </msub> <mfrac> <msub> <mi>G</mi> <mi>T</mi> </msub> <msub> <mi>G</mi> <mrow> <mi>S</mi> <mi>T</mi> <mi>C</mi> </mrow> </msub> </mfrac> <mrow> <mo>(</mo> <mn>1</mn> <mo>+</mo> <mi>k</mi> <mo>(</mo> <mrow> <msub> <mi>T</mi> <mi>c</mi> </msub> <mo>-</mo> <msub> <mi>T</mi> <mi>r</mi> </msub> </mrow> <mo>)</mo> <mo>)</mo> </mrow> </mrow>In formula, ppvFor solar energy power generating power output;PSTCFor the full test power under standard test condition;GSTCFor mark Intensity of illumination under quasi- test condition;GTTo be actually incident on the intensity of illumination in photovoltaic panel;K is temperature power coefficient;TcFor electricity Pond plate operating temperature;TrFor reference temperature, 25 DEG C are taken as;Wind-power electricity generation power output model:<mrow> <msub> <mi>p</mi> <mrow> <mi>w</mi> <mi>t</mi> </mrow> </msub> <mo>=</mo> <mfenced open = "{" close = ""> <mtable> <mtr> <mtd> <mn>0</mn> </mtd> <mtd> <mrow> <mi>v</mi> <mo><</mo> <msub> <mi>v</mi> <mrow> <mi>i</mi> <mi>n</mi> </mrow> </msub> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <msub> <mi>a</mi> <mrow> <mi>w</mi> <mi>t</mi> </mrow> </msub> <msup> <mi>v</mi> <mn>3</mn> </msup> <mo>+</mo> <msub> <mi>b</mi> <mrow> <mi>w</mi> <mi>t</mi> </mrow> </msub> <msup> <mi>v</mi> <mn>2</mn> </msup> <mo>+</mo> <msub> <mi>c</mi> <mrow> <mi>w</mi> <mi>t</mi> </mrow> </msub> <mi>v</mi> <mo>+</mo> <msub> <mi>d</mi> <mrow> <mi>w</mi> <mi>t</mi> </mrow> </msub> </mrow> </mtd> <mtd> <mrow> <msub> <mi>v</mi> <mrow> <mi>i</mi> <mi>n</mi> </mrow> </msub> <mo>&le;</mo> <mi>v</mi> <mo><</mo> <msub> <mi>v</mi> <mi>n</mi> </msub> </mrow> </mtd> </mtr> <mtr> <mtd> <msub> <mi>p</mi> <mrow> <mi>w</mi> <mi>t</mi> <mi>n</mi> </mrow> </msub> </mtd> <mtd> <mrow> <msub> <mi>v</mi> <mi>n</mi> </msub> <mo>&le;</mo> <mi>v</mi> <mo>&le;</mo> <msub> <mi>v</mi> <mrow> <mi>o</mi> <mi>u</mi> <mi>t</mi> </mrow> </msub> </mrow> </mtd> </mtr> <mtr> <mtd> <mn>0</mn> </mtd> <mtd> <mrow> <mi>v</mi> <mo>></mo> <msub> <mi>v</mi> <mrow> <mi>o</mi> <mi>u</mi> <mi>t</mi> </mrow> </msub> </mrow> </mtd> </mtr> </mtable> </mfenced> </mrow>In formula:pwtFor output power of wind power generation;vinFor incision wind speed, vnFor rated wind speed, voutFor cut-out wind speed;pwtnFor wind Machine rated power;awt、bwt、cwt、dwtFor wind speed-power curve fitting parameter;Miniature gas turbine installation operating cost model:F(pmt)=αmtpmt+βmtIn formula:F(pmt) be miniature gas turbine Fuel Consumption cost;pmtFor miniature gas turbine power output;αmt、βmt For the fitting coefficient of fuel consumption;The installation cost of solar energy power generating, wind-power electricity generation and miniature gas turbine is multiplied by installation according to unit installation cost and held Measure size to calculate, the year value fee calculation procedure that waits for cost of installing is:CAcap=Ccap*CRF(γ,k)-Cs*SFF(γ,k)<mrow> <mi>C</mi> <mi>R</mi> <mi>F</mi> <mrow> <mo>(</mo> <mi>&gamma;</mi> <mo>,</mo> <mi>k</mi> <mo>)</mo> </mrow> <mo>=</mo> <mfrac> <mrow> <mi>&gamma;</mi> <msup> <mrow> <mo>(</mo> <mn>1</mn> <mo>+</mo> <mi>&gamma;</mi> <mo>)</mo> </mrow> <mi>k</mi> </msup> </mrow> <mrow> <msup> <mrow> <mo>(</mo> <mn>1</mn> <mo>+</mo> <mi>&gamma;</mi> <mo>)</mo> </mrow> <mi>k</mi> </msup> <mo>-</mo> <mn>1</mn> </mrow> </mfrac> </mrow><mrow> <mi>S</mi> <mi>F</mi> <mi>F</mi> <mrow> <mo>(</mo> <mi>i</mi> <mo>,</mo> <mi>k</mi> <mo>)</mo> </mrow> <mo>=</mo> <mfrac> <mi>&gamma;</mi> <mrow> <msup> <mrow> <mo>(</mo> <mn>1</mn> <mo>+</mo> <mi>&gamma;</mi> <mo>)</mo> </mrow> <mi>k</mi> </msup> <mo>-</mo> <mn>1</mn> </mrow> </mfrac> </mrow><mrow> <mi>i</mi> <mo>=</mo> <mfrac> <mrow> <msup> <mi>i</mi> <mo>&prime;</mo> </msup> <mo>-</mo> <mi>f</mi> </mrow> <mrow> <mn>1</mn> <mo>+</mo> <mi>f</mi> </mrow> </mfrac> </mrow>In formula:CAcapFor the year equivalence expense of equipment installation cost;CcapFor equipment installation cost;CsFor equipment Anqi end residual value;k For the equipment life time limit;CRF (i, k) is recovery of the capital coefficient;SFF (i, k) is sinking fund factor;I is true rate of interest;I ' is Norminal interest rate;F is annual inflation.
- 4. according to the design method of the alternating current-direct current series-parallel connection micro-grid system described in claim 1, it is characterised in that:Described alternating current-direct current In series-parallel connection micro-grid system modeling procedure, mesh that described alternating current-direct current series-parallel connection micro-grid system mixed integer nonlinear optimization designs a model Scalar functions include four parts, and Part I converts cost for the year of power supply initial outlay to be selected, characterizes cost of investment and power supply is filled The influence of machine;Part II is generating set annual operating and maintenance cost, characterizes influence of the operating states of the units to installation;Part III is Alternating current-direct current micro-grid system and external electrical network electric energy switching cost, characterize influence of the electric network state to installation;Part IV is to abandon wind Light cost is abandoned, characterizes waste caused by when renewable energy power generation installs superfluous;Object function expression formula is as follows:<mfenced open = "" close = ""> <mtable> <mtr> <mtd> <mrow> <mi>M</mi> <mi>i</mi> <mi>n</mi> </mrow> </mtd> <mtd> <mrow> <msub> <mi>C</mi> <mrow> <mi>A</mi> <mi>c</mi> <mi>a</mi> <mi>p</mi> </mrow> </msub> <munderover> <mo>&Sigma;</mo> <mi>m</mi> <mi>M</mi> </munderover> <msub> <mi>C</mi> <mi>m</mi> </msub> <mo>*</mo> <msub> <mi>P</mi> <mi>m</mi> </msub> <mo>+</mo> <munderover> <mo>&Sigma;</mo> <mi>t</mi> <mi>T</mi> </munderover> <mi>F</mi> <mrow> <mo>(</mo> <msub> <mi>p</mi> <mrow> <mi>m</mi> <mi>t</mi> </mrow> </msub> <mo>(</mo> <mi>t</mi> <mo>)</mo> <mo>)</mo> </mrow> <mo>+</mo> <munderover> <mo>&Sigma;</mo> <mi>t</mi> <mi>T</mi> </munderover> <msub> <mi>c</mi> <mi>e</mi> </msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>*</mo> <msub> <mi>p</mi> <mi>e</mi> </msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>+</mo> <munderover> <mo>&Sigma;</mo> <mi>t</mi> <mi>T</mi> </munderover> <msub> <mi>c</mi> <mi>e</mi> </msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>*</mo> <msub> <mi>p</mi> <mrow> <mi>l</mi> <mi>o</mi> <mi>s</mi> <mi>s</mi> </mrow> </msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> </mrow> </mtd> </mtr> </mtable> </mfenced>In formula, CAcapFor the year equivalence expense of equipment installation cost;CmFor power supply m unit capacity installation cost;PmFor power supply m Installed capacity size;F(pmt) be miniature gas turbine Fuel Consumption cost;pmt(t) it is defeated when being miniature gas turbine t Go out power;ce(t) power network tou power price when being t;pe(t) from the electrical power of power network input microgrid when being t;ploss(t) abandon when being t Wind abandons luminous power;M is number of power sources;T is annual hours of operation.
- 5. according to the design method of the alternating current-direct current series-parallel connection micro-grid system described in claim 1, it is characterised in that:Described alternating current-direct current In series-parallel connection micro-grid system modeling procedure, pact that described alternating current-direct current series-parallel connection micro-grid system mixed integer nonlinear optimization designs a model Beam condition includes electrical power Constraints of Equilibrium;Unit operation is limited, and unit should be transported between ratio of minimum load to maximum load and peak load rate OK;Node voltage boundary constraint;Microgrid constrains with external electrical network Power Exchange;The boundary constraint of machine kludge and Integer constrained characteristic;About Beam conditional expression is as follows:Timesharing electrical power Constraints of Equilibrium:pmt(t)+ppv(t)+pwt(t)+pe(t)=pl (t)+ploss(t)In formula, ppv(t) solar power generation power when being t;pwt(t) solar power generation power when being t;The electricity of load when pl (t) is t Power;Unit operation restriction:pmmin≤pm(t)≤pmmaxpm(t)≤PmIn formula, pm(t) it is power outputs of the unit m in t;pmmax、pmminLimit is exported for unit m minimum and maximum electrical power System;Node voltage boundary constraint:<mrow> <msubsup> <mi>v</mi> <mrow> <mi>a</mi> <mi>c</mi> <mo>_</mo> <mi>i</mi> </mrow> <mi>min</mi> </msubsup> <mo>&le;</mo> <msub> <mi>v</mi> <mrow> <mi>a</mi> <mi>c</mi> <mo>_</mo> <mi>i</mi> </mrow> </msub> <mo>&le;</mo> <msubsup> <mi>v</mi> <mrow> <mi>a</mi> <mi>c</mi> <mo>_</mo> <mi>i</mi> </mrow> <mi>max</mi> </msubsup> </mrow><mrow> <msubsup> <mi>v</mi> <mrow> <mi>d</mi> <mi>c</mi> <mo>_</mo> <mi>i</mi> </mrow> <mi>min</mi> </msubsup> <mo>&le;</mo> <msub> <mi>v</mi> <mrow> <mi>d</mi> <mi>c</mi> <mo>_</mo> <mi>i</mi> </mrow> </msub> <mo>&le;</mo> <msubsup> <mi>v</mi> <mrow> <mi>d</mi> <mi>c</mi> <mo>_</mo> <mi>i</mi> </mrow> <mi>max</mi> </msubsup> </mrow> 2In formula, vac_iTo exchange the voltage of node i,For its up-and-down boundary;vdc_iFor DC node i voltage,For its up-and-down boundary;External electrical network interface power limits:Microgrid can not only allow the energy of falling power transmission from external electrical network absorbed power;0≤pe(t)≤pemaxIn formula, pemaxFor the maximum allowable electrical power absorbed from external electrical network;Machine kludge border and Integer constrained characteristic:PmFor integerIn formula, PmFor installed capacity,For its up-and-down boundary.
- 6. according to the design method of the alternating current-direct current series-parallel connection micro-grid system described in claim 1, it is characterised in that:Described alternating current-direct current In series-parallel connection micro-grid system mathematical optimization models solution procedure, the mathematical method decomposition alternating current-direct current series-parallel connection micro-grid system optimization used is set Model is counted, the capacity configuration primal problem tried to achieve, which has, is expressed as below form:Object function:Min αConstraints:<mfenced open = "" close = ""> <mtable> <mtr> <mtd> <mrow> <mi>f</mi> <mrow> <mo>(</mo> <msubsup> <mi>x</mi> <mn>1</mn> <mrow> <mo>(</mo> <mi>k</mi> <mo>)</mo> </mrow> </msubsup> <mo>,</mo> <mn>...</mn> <mo>,</mo> <msubsup> <mi>x</mi> <mi>n</mi> <mrow> <mo>(</mo> <mi>k</mi> <mo>)</mo> </mrow> </msubsup> <mo>;</mo> <msubsup> <mi>y</mi> <mn>1</mn> <mrow> <mo>(</mo> <mi>k</mi> <mo>)</mo> </mrow> </msubsup> <mo>,</mo> <mn>...</mn> <mo>,</mo> <msubsup> <mi>y</mi> <mi>m</mi> <mrow> <mo>(</mo> <mi>k</mi> <mo>)</mo> </mrow> </msubsup> <mo>)</mo> </mrow> <mo>+</mo> <munderover> <mi>&Sigma;</mi> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>n</mi> </munderover> <msubsup> <mi>&lambda;</mi> <mi>i</mi> <mrow> <mo>(</mo> <mi>k</mi> <mo>)</mo> </mrow> </msubsup> <mrow> <mo>(</mo> <msub> <mi>x</mi> <mi>i</mi> </msub> <mo>-</mo> <msubsup> <mi>x</mi> <mi>i</mi> <mrow> <mo>(</mo> <mi>k</mi> <mo>)</mo> </mrow> </msubsup> <mo>)</mo> </mrow> <mo>&le;</mo> <mi>&alpha;</mi> </mrow> </mtd> <mtd> <mrow> <mi>k</mi> <mo>=</mo> <mn>1</mn> <mo>,</mo> <mn>...</mn> <mo>,</mo> <mi>p</mi> <mo>-</mo> <mn>1</mn> </mrow> </mtd> </mtr> </mtable> </mfenced><mfenced open = "" close = ""> <mtable> <mtr> <mtd> <mrow> <msubsup> <mi>x</mi> <mi>i</mi> <mrow> <mi>d</mi> <mi>o</mi> <mi>w</mi> <mi>n</mi> </mrow> </msubsup> <mo>&le;</mo> <msub> <mi>x</mi> <mi>i</mi> </msub> <mo>&le;</mo> <msubsup> <mi>x</mi> <mi>i</mi> <mrow> <mi>u</mi> <mi>p</mi> </mrow> </msubsup> </mrow> </mtd> <mtd> <mrow> <msub> <mi>x</mi> <mi>i</mi> </msub> <mo>&Element;</mo> <mi>N</mi> </mrow> </mtd> <mtd> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> <mo>,</mo> <mo>...</mo> <mo>,</mo> <mi>n</mi> </mrow> </mtd> </mtr> </mtable> </mfenced>αdown≤αIn formula, xiFor installed capacity integer optimized variable,For its up-and-down boundary, n is its quantity;yiFor unit operation Power output contacts optimized variable, and m is its quantity;α is optimization aim, αdownFor its lower boundary;λiAsked for dry run subproblem The dual variable value that solution obtains;Subscript k represents kth time iteration;P represents iterations.
- 7. the design method of alternating current-direct current series-parallel connection micro-grid system according to claim 1, it is characterised in that:Described alternating current-direct current In series-parallel connection micro-grid system mathematical optimization models solution procedure, the expression-form of the certificate authenticity subproblem used is as follows:Whether size of test configuration primal problem meets following constraints:<mrow> <munderover> <mo>&Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>n</mi> </munderover> <msub> <mi>x</mi> <mi>i</mi> </msub> <mo>&GreaterEqual;</mo> <mi>&chi;</mi> <mo>*</mo> <mi>m</mi> <mi>a</mi> <mi>x</mi> <mrow> <mo>(</mo> <mi>p</mi> <mi>l</mi> <mo>(</mo> <mi>t</mi> <mo>)</mo> <mo>)</mo> </mrow> </mrow>In formula, χ is system reliability evaluation coefficient;Max (pl (t)) is system peak load.
- 8. the design method of alternating current-direct current series-parallel connection micro-grid system according to claim 1, it is characterised in that:Described alternating current-direct current In series-parallel connection micro-grid system mathematical optimization models solution procedure, the dry run for decomposing to obtain using mathematical method optimizes subproblem Expression-form is as follows:Object function:Min f(x1,…,xn;y1,…,ym)Constraints:hk(x1,…,xn;y1,…,ym)=0;K=1 ..., qgl(x1,…,xn;y1,…,ym)≤0;L=1 ..., r<mfenced open = "" close = ""> <mtable> <mtr> <mtd> <mrow> <msubsup> <mi>y</mi> <mi>j</mi> <mrow> <mi>d</mi> <mi>o</mi> <mi>w</mi> <mi>n</mi> </mrow> </msubsup> <mo>&le;</mo> <msub> <mi>y</mi> <mi>j</mi> </msub> <mo>&le;</mo> <msubsup> <mi>y</mi> <mi>j</mi> <mrow> <mi>u</mi> <mi>p</mi> </mrow> </msubsup> </mrow> </mtd> <mtd> <mrow> <msub> <mi>x</mi> <mi>i</mi> </msub> <mo>&Element;</mo> <mi>R</mi> </mrow> </mtd> <mtd> <mrow> <mi>j</mi> <mo>=</mo> <mn>1</mn> <mo>,</mo> <mo>...</mo> <mo>,</mo> <mi>m</mi> </mrow> </mtd> </mtr> </mtable> </mfenced><mfenced open = "" close = ""> <mtable> <mtr> <mtd> <mrow> <msub> <mi>x</mi> <mi>i</mi> </msub> <mo>=</mo> <msubsup> <mi>x</mi> <mi>i</mi> <mrow> <mo>(</mo> <mi>p</mi> <mo>)</mo> </mrow> </msubsup> <mo>:</mo> <msub> <mi>&lambda;</mi> <mi>i</mi> </msub> <mo>;</mo> </mrow> </mtd> <mtd> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> <mo>,</mo> <mo>...</mo> <mo>,</mo> <mi>n</mi> </mrow> </mtd> </mtr> </mtable> </mfenced> 3In formula, hkFor equality constraint, its quantity is q;glFor inequality constraints, its quantity is r;For yiUp-and-down boundary;For the solving result of primal problem.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710645633.1A CN107391869B (en) | 2017-08-01 | 2017-08-01 | Design method of alternating current-direct current hybrid micro-grid system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710645633.1A CN107391869B (en) | 2017-08-01 | 2017-08-01 | Design method of alternating current-direct current hybrid micro-grid system |
Publications (2)
Publication Number | Publication Date |
---|---|
CN107391869A true CN107391869A (en) | 2017-11-24 |
CN107391869B CN107391869B (en) | 2020-08-18 |
Family
ID=60343028
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201710645633.1A Active CN107391869B (en) | 2017-08-01 | 2017-08-01 | Design method of alternating current-direct current hybrid micro-grid system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN107391869B (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2019128012A1 (en) * | 2017-12-28 | 2019-07-04 | 东南大学 | Robust optimal coordinated dispatching method for alternating-current and direct-current hybrid micro-grid |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20130213038A1 (en) * | 2012-02-16 | 2013-08-22 | Spyros James Lazaris | Transmission system for delivery of dynamic demand response in a renewable energy-based electricity grid infrastructure |
CN105760964A (en) * | 2016-03-15 | 2016-07-13 | 国网浙江省电力公司电力科学研究院 | Microgrid optimal configuration method and device |
CN106779471A (en) * | 2017-01-05 | 2017-05-31 | 沈阳工业大学 | A kind of multipotency interconnects alternating current-direct current mixing micro-capacitance sensor system and Optimal Configuration Method |
CN106992538A (en) * | 2017-04-17 | 2017-07-28 | 国网浙江省电力公司电力科学研究院 | It is a kind of that micro-capacitance sensor Optimal Configuration Method is exchanged based on the self that Benders is decomposed |
-
2017
- 2017-08-01 CN CN201710645633.1A patent/CN107391869B/en active Active
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20130213038A1 (en) * | 2012-02-16 | 2013-08-22 | Spyros James Lazaris | Transmission system for delivery of dynamic demand response in a renewable energy-based electricity grid infrastructure |
CN105760964A (en) * | 2016-03-15 | 2016-07-13 | 国网浙江省电力公司电力科学研究院 | Microgrid optimal configuration method and device |
CN106779471A (en) * | 2017-01-05 | 2017-05-31 | 沈阳工业大学 | A kind of multipotency interconnects alternating current-direct current mixing micro-capacitance sensor system and Optimal Configuration Method |
CN106992538A (en) * | 2017-04-17 | 2017-07-28 | 国网浙江省电力公司电力科学研究院 | It is a kind of that micro-capacitance sensor Optimal Configuration Method is exchanged based on the self that Benders is decomposed |
Non-Patent Citations (3)
Title |
---|
亨利•马尔科姆•斯坦纳: "《工程经济学原理》", 31 May 2000, 北京:经济科学出版社 * |
张海防: "基于禁忌粒子群算法的微电网经济运行应用研究", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》 * |
赵文会 等: "基于SMCS-NSGAⅡ的独立型微网优化配置", 《电力系统保护与控制》 * |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2019128012A1 (en) * | 2017-12-28 | 2019-07-04 | 东南大学 | Robust optimal coordinated dispatching method for alternating-current and direct-current hybrid micro-grid |
Also Published As
Publication number | Publication date |
---|---|
CN107391869B (en) | 2020-08-18 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Mehrjerdi et al. | Daily-seasonal operation in net-zero energy building powered by hybrid renewable energies and hydrogen storage systems | |
Lin et al. | Decentralized solution for combined heat and power dispatch through benders decomposition | |
Gabash et al. | Active-reactive optimal power flow in distribution networks with embedded generation and battery storage | |
Krause et al. | Multiple-energy carriers: modeling of production, delivery, and consumption | |
CN105071389B (en) | The alternating current-direct current mixing micro-capacitance sensor optimizing operation method and device of meter and source net load interaction | |
CN103544372B (en) | A kind of Unit Selection method of miniature gas turbine cogeneration system | |
CN107508284B (en) | Micro-grid distributed optimization scheduling method considering electrical interconnection | |
Das et al. | Evaluating the prospect of utilizing excess energy and creating employments from a hybrid energy system meeting electricity and freshwater demands using multi-objective evolutionary algorithms | |
CN105205552B (en) | A kind of independent new energy hybrid power system Method for optimized planning | |
CN108233430B (en) | Alternating current-direct current hybrid micro-grid optimization method considering system energy volatility | |
CN106487036A (en) | A kind of independent photovoltaic dragging system capacity collocation method based on multi-objective optimization algorithm | |
CN104765967A (en) | Multi-objective optimizing design method of off-grid hybrid renewable energy system | |
CN105976055A (en) | Distributed photovoltaic-energy storage system (PV-BES) output optimization and capacity allocation method counting power loss | |
CN104377693A (en) | Production simulation model for power generation | |
Yang et al. | Multi-Objective optimal scheduling of island microgrids considering the uncertainty of renewable energy output | |
CN103577891A (en) | Multi-island micro-grid optimization cooperation running method containing distributed power source | |
CN105488584A (en) | Multi-objective combinational optimal configuration method of island hybrid renewable energy system (HRES) | |
Liaqat et al. | Multi-criteria storage selection model for grid-connected photovoltaics systems | |
JP6669148B2 (en) | Energy system optimization equipment | |
CN108039741B (en) | Alternating current-direct current hybrid micro-grid optimized operation method considering micro-source residual electricity on-line | |
Shahab et al. | Advanced optimal design of the IoT based university campus microgrid considering environmental concerns and demand response | |
CN115618616A (en) | Method for constructing hybrid energy storage reliability evaluation model of source, network and load resources | |
Amouzad Mahdiraji et al. | Optimal in smart grids considering interruptible loads and photo-voltaic sources using genetic optimization | |
Jain et al. | Grid ancillary services using electrolyzer-Based power-to-Gas systems with increasing renewable penetration | |
CN117787636A (en) | Multi-target planning method, system and equipment for comprehensive energy system |
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 |