CN107832873A - Integrated energy system Method for optimized planning and device based on double-deck bus-type structure - Google Patents
Integrated energy system Method for optimized planning and device based on double-deck bus-type structure Download PDFInfo
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Abstract
The invention provides a kind of integrated energy system Method for optimized planning and device based on double-deck bus-type structure.The present invention is based on double-deck bus-type structure, using the main frame of Simulation Evaluation intelligent optimization bimodulus block structure construction integrated energy system Optimal Planning Model, further expanded on the basis of single busbar formula structure, detailed internal layer topological structure is added for every bus, and independent simulation modeling is carried out according to the self-characteristic of every bus, ensures the required precision of respective system；The present invention had both considered the energy flow relation in integrated energy system between different energy sources form, it is contemplated that network structure and transmission characteristic in same energy form, carry out layered modeling and iteration optimization, mode is decoupled by thermoelectricity, both heat, the difference of Charge Transport Properties can effectively have been reflected, and can effectively reduces the dimension and complexity of system emulation, is easy to carry out combined optimization to integrated energy system.
Description
Technical field
The invention belongs to Power System Analysis technical field, more particularly to a kind of synthesis energy based on double-deck bus-type structure
Source system optimization method and device for planning.
Background technology
With expanding economy, environmental problem and energy problem are also increasingly serious, promote people to constantly look for more effectively
Method improves energy source use efficiency.Integrated energy system as one centered on electric power, multiple-energy-source coupling, multiple network it is mutual
Logical comprehensive energy body, form the diversified forms energy such as hot and cold, electric, gas transverse coupling and production of energy, conversion, transmission,
Longitudinal UNICOM of multiple links such as consumption, has broken existing electricity, heat, gas independence energy supply pattern, is a kind of lifting comprehensive energy
The new exploitation of energy resources Land use models of efficiency.
Not only also included comprising plurality of devices such as distributed power source, thermal source, electric energy storage, refrigeration machines in integrated energy system
User's production disappears under the polynary loads, or even inclusion region synthesis energy supply scene such as hot and cold, electric, hot water under integrated scene, steam
Power network, gas net, the multiple pipe network such as heat supply network, and the energy flow relation of integrated energy system is also extremely complex, therefore to excellent
Change planning process and propose requirements at the higher level.
Some optimization apparatus and method for being directed to integrated energy system are disclosed in the prior art.These apparatus and method are led to
Heat, electric system property difference, the method for taking unified Modeling are not often differentiated between；Or do not consider cyberrelationship, closed by energy flow
System carries out simplifying processing, often can not effectively reflect electricity, the transmission characteristic difference of heat and via net loss, for including complex network
Integrated energy system be difficult to the required precision for meeting model.
The content of the invention
In order to solve the above-mentioned technical problem, it is excellent to provide a kind of integrated energy system based on double-deck bus-type structure by the present invention
Change planing method, specifically comprise the following steps：
1) component devices and structural parameters, the device model parameter and genetic algorithm parameter of integrated energy system are inputted；
2) intelligent optimization module generates initial population according to genetic algorithm, and by system variable corresponding to initial population individual
Pass to Simulation Evaluation module；
3) Simulation Evaluation module is decoupled and iterative operation, obtains simulation result, while every corresponding to calculating is assessed
Index, and every evaluation index is passed into intelligent optimization module；
4) intelligent optimization module is determined the numerical value of population at individual fitness by every evaluation index；
5) intelligent optimization module carries out algorithm of tournament selection according to individual adaptation degree, single-point intersects, uniform mutation operation, obtains
Progeny population, and system variable corresponding to progeny population individual is passed into Simulation Evaluation module；
6) Simulation Evaluation module is decoupled and iterative operation, obtains simulation result, while every corresponding to calculating is assessed
Index, and every evaluation index is passed into intelligent optimization module；
7) intelligent optimization module is determined the numerical value of progeny population individual adaptation degree by every evaluation index；
8) intelligent optimization module is integrally screened and sorted to parent population and progeny population, obtains new population
Body；
9) intelligent optimization module judges whether progeny population is maximum genetic algebra, if it is not, then repeat step 4)-step
8)；If so, then intelligent optimization end-of-module optimization program, and export final optimization planning result.
Further, the Simulation Evaluation module, which carries out decoupling and the particular content of iterative operation, includes：
1. Simulation Evaluation module according to double-deck bus-type structure, establishes the balance side of each bus in outer layer bus structure respectively
Formula, the equilibrium equation of each bus is by the power of each equipment, the transmission loss of the bus and the bus in the bus
Transimission power composition between other buses, the transmission loss initial value of each bus are set to 0；Input basic data；
2. with reference to outer layer bus equilibrium equation and selected scheduling strategy, calculate and transmitted between the power of each equipment and each bus
Power；
3. the power of each equipment in each bus is inputted respectively in the Simulation Calculation of the bus internal network, each mother
Line carries out simulation calculation according to the time scale of selection, calculates the internal network loss value of the bus；
4. whether each bus internal network loss value changes are respectively less than allowable error scope before and after judging simulation calculation, if
It is to go to step 5.；If it is not, 2. transmission loss of the output internal network loss value as each bus, goes to step；
5. stopping iteration, and exported system state amount as simulation result.
Further, the system state amount include each bus in the power of each equipment, the transmission loss of each bus with
And the transimission power between each bus.
The present invention also provides a kind of integrated energy system optimization planning device based on double-deck bus-type structure, including intelligence
Optimization module and Simulation Evaluation module；
The intelligent optimization module includes：
First input block：For providing the interface of input genetic algorithm parameter, and by the data transfer of input to initial
Population generation unit；
Initial population generation unit：For generating initial population according to genetic algorithm, and by corresponding to initial population individual
System variable passes to Simulation Evaluation module；
Individual adaptation degree computing unit：For determining the numerical value of population at individual fitness；
Progeny population generation unit：For carrying out algorithm of tournament selection according to individual adaptation degree, single-point intersects, uniformly variation is grasped
Make, obtain progeny population, and system variable corresponding to progeny population individual is passed into Simulation Evaluation module；
Screening unit：It is whole to parent population and progeny population for the individual adaptation degree according to parent population and progeny population
Body is screened and sorted, and obtains new population at individual；
Judging unit：For judging whether progeny population is maximum genetic algebra；If it is not, then new population at individual is passed
Pass individual adaptation degree computing unit；If so, then terminating optimization program, termination message is concurrently sent to output unit；
Output unit：For after termination message is received, exporting final optimization planning result；
The Simulation Evaluation module is used to be decoupled and iterative operation, obtains simulation result, while each corresponding to calculating
Item evaluation index, and every evaluation index is passed into individual adaptation degree computing unit.
Further, the Simulation Evaluation module includes：
Second input block：For providing the component devices and structural parameters and equipment mould of input integrated energy system
The interface of shape parameter, and the data transfer of input is balanced into equation unit；
Equilibrium equation unit：For establishing the equilibrium equation of each bus；
Power calculation unit：For calculating the power of each equipment in each bus according to the equilibrium equation of each bus, and
Pass to simulation computing unit；
Simulation computing unit：Simulation calculation is carried out according to the time scale of selection for each bus, calculates the interior of each bus
Portion's via net loss value；
Comparing unit：Allow to miss for judging before and after simulation calculation whether each bus internal network loss value changes are respectively less than
Poor scope, if it is not, transmission loss of the output internal network loss value as each bus, passes to power calculation unit；Such as
Fruit is then to stop iteration, and sends Stop message and give simulation result unit；
Simulation result unit：For after Stop message is received, using system state amount as simulation result, calculating simultaneously
Corresponding every evaluation index, and every evaluation index is passed into individual adaptation degree computing unit.
Further, the system state amount include each bus in the power of each equipment, the transmission loss of each bus with
And the transimission power between each bus.
Compared with prior art, the beneficial effects of the present invention are：
The present invention is based on double-deck bus-type structure, and comprehensive energy is constructed using Simulation Evaluation-intelligent optimization bimodulus block structure
The main frame of system optimization plan model, further expand on the basis of single busbar formula structure, added in detail for every bus
Thin internal layer topological structure, and independent simulation modeling is carried out according to the self-characteristic of every bus, ensure the essence of respective system
Degree requires；The present invention had both considered the energy flow relation in integrated energy system between different energy sources form, it is contemplated that together
Network structure and transmission characteristic in one energy form, layered modeling and iteration optimization are carried out, by way of thermoelectricity decoupling, both may be used
Effectively reflection heat, the difference of Charge Transport Properties, and can effectively reduce the dimension and complexity of system emulation, are easy to comprehensive energy
System carries out combined optimization.
Brief description of the drawings
Fig. 1 is a kind of outer layer bus-type structure chart of typical integrated energy system；
Fig. 2 is the internal topology figure of goddess of lightning's line in Fig. 1；
Fig. 3 is the graph of a relation of Simulation Evaluation-intelligent optimization Dual module；
Fig. 4 is the flow chart of the integrated energy system Method for optimized planning based on double-deck bus-type structure of the present invention；
Fig. 5 is the flow chart that the Simulation Evaluation module of the present invention carries out decoupling and iterative operation；
Fig. 6 is the structural representation of the integrated energy system optimization planning device based on double-deck bus-type structure of the present invention
Figure.
Embodiment
The invention provides a kind of integrated energy system Method for optimized planning based on double-deck bus-type structure, based on bilayer
Bus-type structure, the main frame of integrated energy system Optimal Planning Model is constructed using Simulation Evaluation-intelligent optimization bimodulus block structure
Frame.
The outer layer of double-deck bus-type structure describes the composition structure of integrated energy system using single busbar formula structure.Such as scheme
A kind of layer structure of typical integrated energy system shown in 1, including three goddess of lightning's line, hot bus, cold bus buses, three mothers
There are the various equipment of access on line, realize the energy conversion between different medium between three buses by energy conversion device.It is logical
The single busbar formula structure for crossing outer layer can be not being considered different electrical power, thermal source, energy storage, cold heat/electrical switching device Independent modeling
In the case of transfer of energy properties, row can be simplified and write the equilibrium equation of each bus, but can not effectively reflect electricity, the biography of heat
Defeated property difference and transmission network loss, the precision for being difficult to meet model for the integrated energy system comprising complex network will
Ask.
The problem of to avoid existing using single busbar formula structure, further opened up on the basis of the single busbar formula structure of outer layer
Exhibition, detailed internal layer topological structure is added for every bus, emphasize thermoelectricity decoupling in integrated energy system optimization planning
Effect, it is easy to that electric heating system is carried out to separate modeling and combined optimization.Fig. 2 is to carry out network expansion to goddess of lightning's line in Fig. 1
Obtained internal layer electric network structural topology, the real topology and intermediate conveyor and conversion ring of power transmission are taken into full account
The loss of section.Similar, hot bus and cold bus in Fig. 1 are also extended to increasingly complex topological structure and network closes
System, fully reflection electricity, heat, the operation characteristic that cold-working is the system that can be decoupled.
In Simulation Evaluation-intelligent optimization bimodulus block structure, as shown in figure 3, Simulation Evaluation module is mainly imitated by mathematics
The technical characteristic of true mode simulation system, and the overall target such as technology, economy, environment to integrated energy system programme is entered
Row is assessed；The index evaluation result of intelligent optimization module synthesis different schemes, the comprehensive energy optimized by genetic algorithm
Systems organization scheme.
Integrated energy system Method for optimized planning provided by the invention based on double-deck bus-type structure, as shown in figure 4, tool
Body step includes：
1) genetic algorithm parameter is inputted to intelligent optimization module, the composition of integrated energy system is inputted to Simulation Evaluation module
Equipment and structural parameters and device model parameter；
The optimization process of intelligent optimization module uses genetic algorithm in the present invention；Genetic algorithm parameter includes population number, individual
The parameter needed for genetic algorithm such as parameter of the key link such as body number and heredity, intersection, variation；
The structural parameters of integrated energy system include equipment connecting relation and goddess of lightning's line, hot bus, the topology of cold bus
Structure etc.；
Device model parameter includes the relevant parameter of equipment and network connection circuit；
2) intelligent optimization module generates initial population according to genetic algorithm, and by system variable corresponding to initial population individual
Pass to Simulation Evaluation module；
The initial population of intelligent optimization module generation is first parent population；
The corresponding programme of each individual in initial population, each scheme, which covers in integrated energy system, to be owned
The data message such as the type of equipment and capacity；
3) Simulation Evaluation module is decoupled and iterative operation, obtains simulation result, while every corresponding to calculating is assessed
Index, and every evaluation index is passed into intelligent optimization module；
4) intelligent optimization module receives every evaluation index, and determines population by every evaluation index according to genetic algorithm
The numerical value of body fitness；
5) intelligent optimization module carries out algorithm of tournament selection according to individual adaptation degree, single-point intersects, uniform mutation operation, obtains
Progeny population, and system variable corresponding to progeny population individual is passed into Simulation Evaluation module；
6) Simulation Evaluation module is decoupled and iterative operation, obtains simulation result, while every corresponding to calculating is assessed
Index, and every evaluation index is passed into intelligent optimization module；
7) intelligent optimization module receives every evaluation index, and determines filial generation kind by every evaluation index according to genetic algorithm
The numerical value of group's individual adaptation degree；
8) intelligent optimization module is integrally screened and sorted to parent population and progeny population, obtains new population
Body；
9) intelligent optimization module judges whether progeny population is maximum genetic algebra, and maximum genetic algebra can be by intelligent optimization
Module is previously set；If it is not, step 8) then is obtained into new population at individual as new parent population, substitute into step 4)-
In step 8)；If so, then intelligent optimization end-of-module optimization program, and export final optimization planning result, intelligent optimization mould
The final optimization pass program results of block output is the configuration of each equipment in integrated energy system, including the type of each equipment and installation
The information such as capacity.
In the present invention, Simulation Evaluation module mainly assesses the economy of the scheme of integrated energy system, i.e., in acquisition
According to the equipment configuration scheme and scheduling strategy of integrated energy system on the basis of simulation result, every evaluation index is calculated (i.e.
Operating cost in the system item cycle)；For integrated energy system, evaluation index mainly includes the project construction cycle (generally
For 20 years) cost of investment, purchases strategies, system operation maintenance cost, if allowing system to power network sale of electricity, in addition to power network
Electric income etc. is bought back, it is specific as follows：
(1) net present value (NPV)
In project investment, the general benefit that investment is weighed using net present value (NPV), the capital project in project life cycle
Totle drilling cost net present value (NPV) it is smaller, scheme is more excellent；The calculation formula of totle drilling cost net present value (NPV) is as follows：
Wherein, CNPVFor project totle drilling cost net present value (NPV), Cann,tFor total average annual cash flow, KCRF(r,Tpro) it is the project cycle
Capital recovery factor, for calculating the existing value of average annual cash flow, calculation formula is as follows：
Wherein, r is interest rate, TproFor the project cycle；
(2) cost-benefit model
For integrated energy system, main purpose is to reduce purchases strategies, and totle drilling cost is more than total revenue, is chosen total net
Present worth input is analyzed, and specific formula for calculation is as follows：
Cann,t=Cann,cap+Cann,rep+Cann,om+Cann,ele+Cann,bas-Bsel-Bsub
Wherein, Cann,capFor annual capital cost, Cann,repFor year replacement cost, Cann,omFor year O＆M cost, Cann,eleFor
Annual electric grid electricity fee cost, Cann,basFor year basic charge as per installed capacity cost, BselFor year sale of electricity income, BsubTo subsidize income；Above-mentioned each
Xiang Zhong, year O＆M cost Cann,om, year electric grid electricity fee cost Cann,ele, year sale of electricity income BselWith subsidy income BsubTransported with system
Row is relevant, it is necessary to be calculated with reference to 8760 hours simulation results；
Annual capital cost Cann,capCalculation formula is as follows：
Cann,cap=Ccap.KCRF(r,Tpro)
Wherein, CcapFor the initial capital cost of all devices (including photovoltaic module, energy-storage battery, transverter etc.)；
Project year replacement cost Cann,repProject is subtracted for each replacement of element cost of system in project whole cycle to terminate
When the surplus value, calculation formula is as follows：
Wherein, CrepFor single replacement cost, TcomFor the component life cycle, what the life cycle of energy storage can be because of energy storage is specific
Running situation and different, TsurThe remaining time limit for being element at the end of project, KSF(r,Tcom) be the element cycle sinking fund
The factor, KSF(r,Tpro) be the project cycle sinking fund factor, frepIt is whole for being divided in for capital recovery factor correction factor
The different capital recovery stages caused by individual project cycle interior element replacing；
Year electric grid electricity fee cost Cann,eleFor representing that the actual electricity from power network power purchase of integrated energy system spends cost,
Calculation formula is：
Wherein, Wpur,iFor i-th hour electricity to power network power purchase, cpur,iFor i-th hour purchase electricity price, each province of China existed
Peak of power consumption, flat section and low ebb different periods have different electricity price prices, it is necessary to according to the running situation of system by whole year respectively
The degree electricity electricity charge of 8760 hours are added；
Year basic charge as per installed capacity cost Cann,basFor representing when the big industrial integrated energy system in China uses two-part rate system price
The basic capacity electricity charge paid, by when maximum monthly load requirement criterion calculation：
Wherein, Pmax,jFor 15 minutes average maximum load capacity of jth moon this month peak of power consumption, cbasFor in two-part rate system price
The basic charge as per installed capacity electricity price monthly collected；
Year sale of electricity income BselThe income of power network is sold to for representing that dump energy is surfed the Net when integrated energy system system,
Calculation formula is：
Wherein, Wsel,iFor i-th hour electricity to power network sale of electricity, cselElectricity price is bought back for power network；
Subsidize income BsubThe predominantly generated energy subsidy of distributed power source, puts aside that future may adopt to stored energy application
The subsidy for capital expenditure taken or electricity subsidy.
In the present invention, as shown in figure 5, Simulation Evaluation module decouple and the particular content of iterative operation includes：
A. Simulation Evaluation module establishes the balance side of each bus in outer layer bus structure according to double-deck bus-type structure respectively
Formula, the equilibrium equation of each bus is by the power of each equipment, the transmission loss of the bus and the bus in the bus
Transimission power composition between other buses, the initial value for setting the internal network loss value of each bus is 0；Input light
According to basic datas such as, loads, the initial power of each equipment in each bus is calculated；
In the present invention, the initial power of photovoltaic power generation equipment and wind power equipment calculates according to resource data, fuel gas generation
The initial power of machine and energy storage etc. obtains according to scheduling strategy, and fixed policy or optimisation strategy may be selected in scheduling strategy；
The outer layer bus-type structure chart of typical integrated energy system according to Fig. 1, wherein, the equilibrium equation of goddess of lightning's line
Formula is：
Pgrid+PPV+PWT+Ppgu+LE+PES+PEC+Ploss=0
Wherein, PgridRepresent that power network exchanges power, PPVRepresent photovoltaic generation power, PWTRepresent wind turbine power generation power, PpguTable
Show alliance generator unit power output, LERepresent electric load, PESRepresent that energy storage exchanges power, PECRepresent refrigeration acc power, Ploss
Represent the transmission loss of goddess of lightning's line, PlossInitial value be 0；In the equilibrium equation of goddess of lightning's line, power flow direction goddess of lightning's line is
Just, it is negative to flow out bus；Transimission power between goddess of lightning's line and hot bus is PEC；
The equilibrium equation of cold bus is：
QPGUηabsorber+COPECPEC+Lcooling+QES,cooling+Qloss,cooling=0
Wherein, QPGUFor cogeneration unit excess heat, ηabsorberFor absorption refrigeration engine efficiency, COPECFor electric refrigerating machine
Coefficient of refrigerating performance (COP), PECFor electric refrigerating machine power, LcoolingFor refrigeration duty, QES,coolingFor cold-storage device power,
Qloss,coolingFor cold bus transmission loss；
The equilibrium equation of hot bus is：
QPGUηWH+Qboiler+Lheat+QES,heat+Qloss,heat=0
Wherein, QPGUFor cogeneration unit excess heat, ηWHFor waste-heat recoverer efficiency, QboilerFor gas fired-boiler heat supply
Amount, LheatFor thermic load, QES,heatFor regenerative apparatus power, Qloss,heatFor hot bus transmission loss；
B., the initial power of each equipment in each bus is inputted to the Simulation Calculation of the bus internal network respectively
In, each bus carries out simulation calculation according to the time scale of selection, calculates the internal network loss value of the bus；
In the present invention, the computation model of each bus internal network is selected according to the characteristic of each bus, for example, the goddess of lightning
The computation model selection electric power system tide computation model of line internal network, the initial power of each equipment in goddess of lightning's line is inputted
Simulation calculation is wherein carried out, electric power system tide computation model is as follows：
F (x, u, D, p, A)=0
umin≤u≤umax
hmin≤h(x,u,D,p,A)≤hmax
Wherein x, u, D, p, A, which are followed successively by, complies with variable (dependent variable), control variable (independent
Variable), disturbance variable (disturbance variable), network element parameter and the association square for representing structure variable
Battle array；Complying with variable x includes trend of bus and the voltage magnitude phase angle of motor, the input power of each point and circuit etc., i.e., damp
The flow algorithm Major Systems quantity of state to be calculated, it is by network structure A and network element parameter p, load variations D and power network
Regulation u joint effects, for different Power Flow Problems, various variables have different content and feature；
C. whether each bus internal network loss value changes are respectively less than allowable error scope before and after judging simulation calculation, it is allowed to
Error range is preferably set to 0.000001, if it is, going to step F to be manually set；If it is not, then go to step D；
D. the internal network loss value of each bus is returned in outer layer bus structure, the transmission loss as each bus substitutes into
In the equilibrium equation of each bus, the power of each equipment in each bus is recalculated；
In the present invention, the calculating of the power of each equipment is determined by specific scheduling strategy inside integrated energy system；
In general, fixed policy or optimisation strategy, wherein optimisation strategy may be selected can be divided into static optimization and dynamic optimization again；It is fixed
Strategy formulates operation rule with the priority facility drafted in advance, and the priority does not change with the running environment of system；It is quiet
State optimizes the operating cost according to each equipment under the running environment of current time or period system, determines its priority and operation side
Formula；Dynamic optimization considers the operating cost in a dispatching cycle (including multiple periods), with the total revenue in dispatching cycle most
High or the lowest cost is target, is optimized the system operation；Because dynamic optimization considers the coordination between multi-period equipment operation
Coordinate, the integrated energy system for usually containing the time coupled characteristic element such as energy storage, generator, can obtain more preferably excellent
Change effect；Because the present invention pays close attention to plan model, internal schedule strategy can select as needed, fixed policy or optimization plan
Slightly it is used equally for calculating and determines each plant capacity, does not influence the application of the present invention；
E. the power of each equipment inputs the emulation meter of the bus internal network respectively in each bus step D calculated
Calculate in model, recalculate the internal network loss value of the bus, return to step C；
F. stop iteration, and exported system state amount as simulation result；System state amount includes each in each bus
Transimission power between the power of equipment, the transmission loss of each bus and each bus, Simulation Evaluation module can be by above-mentioned
System state amount calculates corresponding every evaluation index.
Present invention also offers a kind of integrated energy system optimization planning device based on double-deck bus-type structure, such as Fig. 6
It is shown, including intelligent optimization module and Simulation Evaluation module；
The intelligent optimization module includes：
First input block：For providing the interface of input genetic algorithm parameter, and by the data transfer of input to initial
Population generation unit；
Initial population generation unit：For generating initial population according to genetic algorithm, and by corresponding to initial population individual
System variable passes to Simulation Evaluation module；
Individual adaptation degree computing unit：For determining the numerical value of population at individual fitness；
Progeny population generation unit：For carrying out algorithm of tournament selection according to individual adaptation degree, single-point intersects, uniformly variation is grasped
Make, obtain progeny population, and system variable corresponding to progeny population individual is passed into Simulation Evaluation module；
Screening unit：It is whole to parent population and progeny population for the individual adaptation degree according to parent population and progeny population
Body is screened and sorted, and obtains new population at individual；
Judging unit：For judging whether progeny population is maximum genetic algebra；If it is not, then new population at individual is passed
Pass individual adaptation degree computing unit；If so, then terminating optimization program, termination message is concurrently sent to output unit；
Output unit：For after termination message is received, exporting final optimization planning result.
The Simulation Evaluation module is used to be decoupled and iterative operation, obtains simulation result, while each corresponding to calculating
Item evaluation index, and every evaluation index is passed into individual adaptation degree computing unit.
When optimizing planning to the integrated energy system based on double-deck bus-type structure using device provided by the invention,
Genetic algorithm parameter is inputted by the first input block first；First input block generates above-mentioned data transfer to initial population
Module；Initial population generation unit generates initial population P according to above-mentioned data according to genetic algorithm0, and by initial population P0Individual
Corresponding system variable passes to Simulation Evaluation module；Simulation Evaluation module by decoupling and iterative operation, obtain simulation result,
And by simulation result calculate corresponding to every evaluation index and pass to individual adaptation degree computing unit；Individual adaptation degree calculates
Unit determines initial population P by evaluation index0Result of calculation is simultaneously passed to progeny population generation list by the value of individual adaptation degree
Member；Progeny population generation unit is according to initial population P0Individual adaptation degree carries out algorithm of tournament selection, single-point intersects, uniformly variation is grasped
Make, obtain initial population P0Progeny population Q0, initial population P0For its progeny population Q0Parent population, and by progeny population Q0
System variable corresponding to individual passes to Simulation Evaluation module；Simulation Evaluation module obtains again by decoupling and iterative operation
Simulation result, and by simulation result calculate corresponding to every evaluation index and pass to individual adaptation degree computing unit；It is individual
Body fitness computing unit determines progeny population Q by evaluation index0The value of individual adaptation degree；Screening unit is according to initial population
P0And its progeny population Q0Individual adaptation degree to initial population P0And its progeny population Q0Entirety is screened and sorted, and is obtained
New population P1Individual；Now judging unit judges progeny population Q0Whether it is maximum genetic algebra set in advance；If so, then
Judging unit terminates optimization program, concurrently send termination message to output unit；Output unit is after termination message is received, output
Final optimization planning result；If it is not, then by population P1As new parent population, then pass sequentially through individual adaptation degree calculating
Unit determines parent population P1The value of individual adaptation degree, progeny population generation unit generation parent population P1Progeny population Q1, it is imitative
True evaluation module is to progeny population Q1Carry out Simulation Evaluation, individual adaptation degree computing unit determines progeny population Q1Individual adaptation degree
Value, screening unit is to initial population P1And its progeny population Q1Entirety is screened and new population P is obtained after being sorted2Individual
Etc. step, judging unit judges progeny population Q again1Whether it is maximum genetic algebra set in advance；Iterative cycles are above-mentioned excellent
Change process, until progeny population QnFor maximum genetic algebra set in advance, you can end loop process, export optimum results.
In device provided by the invention, the Simulation Evaluation module carries out index evaluation to system design scheme, then
Assessment result is passed into intelligent optimization module, as shown in fig. 6, specifically including：
Second input block：For providing the component devices and structural parameters and equipment mould of input integrated energy system
The interface of shape parameter, and the data transfer of input is balanced into equation unit；
Equilibrium equation unit：For establishing the equilibrium equation of each bus；
Power calculation unit：For calculating the power of each equipment in each bus according to the equilibrium equation of each bus, and
Pass to simulation computing unit；
Simulation computing unit：Simulation calculation is carried out according to the time scale of selection for each bus, calculates the interior of each bus
Portion's via net loss value；
Comparing unit：Allow to miss for judging before and after simulation calculation whether each bus internal network loss value changes are respectively less than
Poor scope, if it is not, transmission loss of the output internal network loss value as each bus, passes to power calculation unit；Such as
Fruit is then to stop iteration, and sends Stop message and give simulation result unit；
Simulation result unit：For after Stop message is received, using system state amount as simulation result, calculating simultaneously
Corresponding every evaluation index, and every evaluation index is passed into individual adaptation degree computing unit；The system state amount bag
Include the transimission power between the power of each equipment in each bus, the transmission loss of each bus and each bus.
In the present invention, the decoupling of Simulation Evaluation module and iterative operation specifically include：First by equilibrium equation unit
The data inputted according to the second input block establish the equilibrium equation of each bus；Then power calculation unit calls equilibrium equation
Formula unit, the initial of each equipment in the equilibrium equation of each bus is determined according to resource data or the scheduling strategy of selection
Power simultaneously passes to simulation computing unit；Simulation computing unit carries out analogue simulation, calculates the internal network loss value of each bus
t1；Comparing unit judges whether the absolute value of the difference of the loss value of internal network twice in succession of each bus is respectively less than 0.000001,
Due to the initial value t of the internal network loss value of each bus0It is set to 0, t1-t0=t1, therefore now comparing unit directly judges
The internal network loss value t of each bus1Absolute value whether be respectively less than 0.000001, if respectively less than 0.000001,
After transmission Stop message gives simulation result unit, simulation result unit to receive Stop message, by each equipment in each bus
Initial transmission power between initial power and each bus is as simulation result, while every evaluation index corresponding to calculating, and
Every evaluation index is passed into individual adaptation degree computing unit；If it is not, then simulation computing unit is by the inside of each bus
Via net loss value t1Pass to power calculation unit；Power calculation unit calls equilibrium equation unit, by the inside of each bus
Via net loss value t1Substituted into as transmission loss in the equilibrium equation of each bus, each bus is calculated according to the scheduling strategy of selection
In each equipment power；And simulation computing unit carries out analogue simulation, the internal network loss value t of each bus is calculated2；Than
To the difference t of the loss value of internal network twice in succession of each bus of unit judges2-t1Absolute value whether be respectively less than 0.000001, such as
Fruit is respectively less than 0.000001, then, will after transmission Stop message gives simulation result unit, simulation result unit to receive Stop message
System state amount is as simulation result, while every evaluation index corresponding to calculating, and every evaluation index is passed into individual
Fitness computing unit；If not respectively less than 0.000001, then power calculation unit calls equilibrium equation unit again, will
The internal network loss value t of each bus2Substitute into the equilibrium equation of each bus, recalculated in each bus as transmission loss
The power of each equipment；And simulation computing unit carries out analogue simulation, the internal network loss value t of each bus is calculated3；Compare
The t of each bus of unit judges3-t2Absolute value whether be respectively less than 0.000001；The above-mentioned iterative process of iterative cycles, until comparing
Unit judges tn-tn-1Absolute value result all less than 0.000001, you can terminate iteration, and send Stop message to imitative
True result unit.
Finally it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention and it is unrestricted, although reference
The present invention is described in detail for preferred embodiment, it will be understood by those within the art that, can be to the present invention's
Technical scheme is modified or equivalent substitution, and without departing from the spirit and scope of technical solution of the present invention, it all should cover
Among scope of the presently claimed invention.
Claims (6)
1. a kind of integrated energy system Method for optimized planning based on double-deck bus-type structure, it is characterised in that methods described has
Body comprises the following steps：
1) component devices and structural parameters, the device model parameter and genetic algorithm parameter of integrated energy system are inputted；
2) intelligent optimization module generates initial population according to genetic algorithm, and by system variable transmission corresponding to initial population individual
Give Simulation Evaluation module；
3) Simulation Evaluation module is decoupled and iterative operation, obtains simulation result, while every evaluation index corresponding to calculating,
And every evaluation index is passed into intelligent optimization module；
4) intelligent optimization module is determined the numerical value of population at individual fitness by every evaluation index；
5) intelligent optimization module carries out algorithm of tournament selection according to individual adaptation degree, single-point intersects, uniform mutation operation, obtains filial generation
Population, and system variable corresponding to progeny population individual is passed into Simulation Evaluation module；
6) Simulation Evaluation module is decoupled and iterative operation, obtains simulation result, while every evaluation index corresponding to calculating,
And every evaluation index is passed into intelligent optimization module；
7) intelligent optimization module is determined the numerical value of progeny population individual adaptation degree by every evaluation index；
8) intelligent optimization module is integrally screened and sorted to parent population and progeny population, obtains new population at individual；
9) intelligent optimization module judges whether progeny population is maximum genetic algebra, if it is not, then repeat step 4)-step 8)；
If so, then intelligent optimization end-of-module optimization program, and export final optimization planning result.
2. according to the method for claim 1, it is characterised in that the Simulation Evaluation module carries out decoupling and iterative operation
Particular content includes：
1. Simulation Evaluation module according to double-deck bus-type structure, establishes the equilibrium equation of each bus in outer layer bus structure respectively
Formula, the equilibrium equation of each bus by the power of each equipment, the transmission loss of the bus and the bus in the bus with
Transimission power composition between other buses, the transmission loss initial value of each bus are set to 0；Input basic data；
2. with reference to outer layer bus equilibrium equation and selected scheduling strategy, calculate and transmit work(between the power of each equipment and each bus
Rate；
3. the power of each equipment in each bus is inputted respectively in the Simulation Calculation of the bus internal network, each bus root
Simulation calculation is carried out according to the time scale of selection, calculates the internal network loss value of the bus；
4. whether each bus internal network loss value changes are respectively less than allowable error scope before and after judging simulation calculation, if it is,
Go to step 5.；If it is not, 2. transmission loss of the output internal network loss value as each bus, goes to step；
5. stopping iteration, and exported system state amount as simulation result.
3. according to the method for claim 2, it is characterised in that the system state amount includes each equipment in each bus
Transimission power between power, the transmission loss of each bus and each bus.
A kind of 4. integrated energy system optimization planning device based on double-deck bus-type structure, it is characterised in that described device bag
Include intelligent optimization module and Simulation Evaluation module；
The intelligent optimization module includes：
First input block：For providing the interface of input genetic algorithm parameter, and by the data transfer of input to initial population
Generation unit；
Initial population generation unit：For generating initial population according to genetic algorithm, and by system corresponding to initial population individual
Variable transferring gives Simulation Evaluation module；
Individual adaptation degree computing unit：For determining the numerical value of population at individual fitness；
Progeny population generation unit：For carrying out algorithm of tournament selection according to individual adaptation degree, single-point intersects, uniform mutation operation,
Progeny population is obtained, and system variable corresponding to progeny population individual is passed into Simulation Evaluation module；
Screening unit：Parent population and progeny population are integrally entered for the individual adaptation degree according to parent population and progeny population
Row screening and sequence, obtain new population at individual；
Judging unit：For judging whether progeny population is maximum genetic algebra；If it is not, then new population at individual is passed to
Individual adaptation degree computing unit；If so, then terminating optimization program, termination message is concurrently sent to output unit；
Output unit：For after termination message is received, exporting final optimization planning result；
The Simulation Evaluation module is used to be decoupled and iterative operation, obtains simulation result, while items corresponding to calculating are commented
Estimate index, and every evaluation index is passed into individual adaptation degree computing unit.
5. device according to claim 4, it is characterised in that the Simulation Evaluation module includes：
Second input block：For providing the component devices and structural parameters and device model ginseng of input integrated energy system
Several interfaces, and the data transfer of input is balanced into equation unit；
Equilibrium equation unit：For establishing the equilibrium equation of each bus；
Power calculation unit：For calculating the power of each equipment in each bus according to the equilibrium equation of each bus, and transmit
To simulation computing unit；
Simulation computing unit：Simulation calculation is carried out according to the time scale of selection for each bus, calculates the in-house network of each bus
Network loss value；
Comparing unit：Whether allowable error model is respectively less than for each bus internal network loss value changes before and after judging simulation calculation
Enclose, if it is not, transmission loss of the output internal network loss value as each bus, passes to power calculation unit；If it is,
Then stop iteration, and send Stop message and give simulation result unit；
Simulation result unit：For after Stop message is received, using system state amount as simulation result, while calculating correspondingly
Every evaluation index, and every evaluation index is passed into individual adaptation degree computing unit.
6. device according to claim 5, it is characterised in that the system state amount includes each equipment in each bus
Transimission power between power, the transmission loss of each bus and each bus.
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