CN110378058A - A kind of method for building up for the electro thermal coupling microgrid optimal response model comprehensively considering reliability and economy - Google Patents
A kind of method for building up for the electro thermal coupling microgrid optimal response model comprehensively considering reliability and economy Download PDFInfo
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Abstract
The invention discloses a kind of method for building up of electro thermal coupling microgrid optimal response model for comprehensively considering reliability and economy, electro thermal coupling microgrid includes micro-capacitance sensor, heat supply network and electric boiler, and micro-capacitance sensor includes electric load, electric energy bus, distributed photovoltaic, electric storage device and the interconnection being connected with higher level's power grid powered to electric load；It include thermal energy bus, thermic load and heat-storing device in heat supply network；Electric boiler connects electric energy bus and thermal energy bus；Include the following steps, S1, the power output model for establishing each element in electro thermal coupling microgrid；S2, electric heating joint response mechanism is established；S3, electro thermal coupling microgrid progress reliability and economy are assessed based on the response of electric heating joint；S4, electric heating joint response model is established for target so that comprehensive benefit is optimal；S5, electric heating joint optimal response model is solved based on genetic algorithm.Advantage is: realization comprehensively considers reliability and combines optimal demand response with the electric heating of economy, realizes the maximization of electro thermal coupling microgrid comprehensive benefit.
Description
Technical field
The present invention relates to integrated energy system optimization operation fields more particularly to one kind to comprehensively consider reliability and economy
Electro thermal coupling microgrid optimal response model method for building up.
Background technique
During the cooperative development of city and the energy, to further increase efficiency of energy utilization, energy resource system fortune is promoted
Capable safety and economy needs to construct unified social synthesis's energy resource system, break each energy resource system individually plan and solely
The natural mode of vertical operation, carries out whole design and running optimizatin.The concept of energy internet and integrated energy system meet the tendency of and
It is raw.And the key node as energy internet, comprehensive energy microgrid receive extensive pass due to its flexible method of operation
Note.Comprehensive energy microgrid generally covers the energy resource systems such as integrated power supply, gas supply, heating, cooling supply and relevant communication and letter
Cease infrastructure.In comprehensive energy microgrid, it is increasingly enhanced between each energy from the coupling and interaction for producing, being transferred to consumption,
In using cogeneration units, electric boiler etc. as energy conversion maincenter carry out electro thermal coupling comprehensive energy microgrid application it is the most general
Time, it is one of the main forms of energy internet, and the important directions of China's distributed energy structural adjustment at present.
Energy supply reliability can be used for measuring integrated energy system and provide a user the energy such as continual electricity, gas, hot and cold
Ability, to guarantee that using for multiple types of users can demand.For electro thermal coupling microgrid, the result of reliability assessment can characterize system
Whole stability.Increase under the insufficient background of power supply capacity in based model for load duration, seems to the energy supply reliability assessment of system
It is particularly important.Demand response is the one kind of the electricity consumption behavior of user's active accommodation itself under the policies such as electricity price or excitation to make a profit
Single electrical energy demands response is further extended to and considers that the integration requirement of the various energy resources types such as electrical heat responds by mode,
May be implemented multipotency mutually help it is gentle with load curve, and then promoted energy supply reliability index.But the introducing of integration requirement response
It is also required to power supply and pays excitation of the corresponding economy cost realization to user with the energy company of heat supply, it is therefore desirable to is comprehensive flat
Reliability after weighing apparatus response is promoted and economy cost, designs a kind of optimal demand response scheme, and realization comprehensively considers reliable
Property combines optimal demand response with the electric heating of economy.
Summary of the invention
The purpose of the present invention is to provide a kind of electro thermal coupling microgrid optimal responses for comprehensively considering reliability and economy
The method for building up of model, to solve foregoing problems existing in the prior art.
To achieve the goals above, The technical solution adopted by the invention is as follows:
A kind of method for building up for the electro thermal coupling microgrid optimal response model comprehensively considering reliability and economy, the electricity
Thermal coupling microgrid includes micro-capacitance sensor, heat supply network and electric boiler, and the element in the micro-capacitance sensor includes electric load, powers to electric load
Electric energy bus, distributed photovoltaic, electric storage device and the interconnection being connected with higher level's power grid；Element in the heat supply network includes heat
It can bus, thermic load and heat-storing device；The electric boiler connects the electric energy bus and the thermal energy bus, enables electric energy and heat
It can coupling；Include the following steps,
S1, the power output model for establishing each element in electro thermal coupling microgrid；
S2, electric heating joint response mechanism is established；
S3, electro thermal coupling microgrid progress reliability and economy are assessed based on the response of electric heating joint；
S4, electric heating joint response model is established for target so that comprehensive benefit is optimal；
S5, electric heating joint optimal response model is solved based on genetic algorithm.
Preferably, the step S1 includes following particular content,
S11, photovoltaic power output model is established；Statistical history data obtain annual intensity of illumination sequence, in conjunction with intensity of illumination
Annual photovoltaic power output model is determined with the relational expression of photovoltaic power output；
S12, electricity, thermic load power output model are established；Real-time electric load can be small by typical week in year-, day in week-and day-
When curve obtain, calculation formula is,
Lt=Lp×Pw×Pd×Ph(t)
Wherein, LpFor year load peak, PwFor year-corresponding with t-th hour all load percentage coefficients, PdFor correspondence
Week-daily load percent coefficient, PhIt (t) is corresponding hour day-load percentage coefficient；
The annual time series data of the thermic load is obtained by the investigation of actual area；
S13, electric storage device power output model is established；The real time execution situation of the electric storage device passes through charge-discharge electric power and lotus
Two parameter representatives of electricity condition, dynamic model is as follows,
Wherein, SSOCIt (t) is the state-of-charge of t moment electric storage device；PCES、PDESThe respectively charge and discharge electric work of charge storage unit
Rate；ΔtηCES、ηDESRespectively efficiency for charge-discharge；ESOC.maxFor rated capacity；
S14, heat-storing device power output model is established；The state change of the heat-storing device is according to heat storage capacity, input and output
Thermal power and thermal losses, which calculate, to be obtained, its calculation formula is,
S (t)=S (t-1)+Phs(t)Δt-η×S(t-1)
Wherein, S (t) and S (t-1) respectively indicate the heat storage capacity of t moment Yu t-1 moment, Phs(t) indicate that heat-storing device exists
The output power of t moment, η indicate the heat accumulation efficiency of heat-storing device；
S15, electric boiler power output model is established；The calculation formula of the heats power of the electric boiler is,
Qeb=ηebPeb
Wherein, QebIndicate the heats power of electric boiler, ηebIndicate thermoelectric (al) power ratio, PebIndicate the electrical power of device.
Preferably, the step S2 includes following particular content,
S21, the electric heating joint response mechanism based on electricity price is established；Under peak valley time-division electricity price, user understands adjust automatically certainly
The electricity consumption behavior of body, when electricity consumption when the peak of part is transferred to paddy, to reduce electricity cost, user uses Electrical change different moments
Measuring calculation formula is,
Wherein, Qon, QmidWith QoffRespectively indicate peak, flat, the paddy period original electricity consumption, Δ Qon, Δ QmidWith Δ QoffPoint
Not Biao Shi peak, flat, the paddy period electric load knots modification, Pon, PmidWith PoffRespectively indicate peak, flat, the paddy period electricity price, Δ Pon,
ΔPmidWith Δ PoffThe electricity price knots modification of 3 periods is respectively indicated, ε is power price coefficient of elasticity；
Changing load amount under comprehensive original loads and tou power price, obtains the demand response machine based on electricity price of using
Later real-time electric load is made,
Wherein, L0(t) load for implementing the t moment before and after time-of-use tariffs, T are respectively indicated with L (t)on, TmidWith ToffRespectively
Indicate peak Pinggu period of electricity consumption, Δ Ton, Δ TmidWith Δ ToffRespectively indicate the duration of 3 periods；
Electric storage device, will be under tou power price as special electric load, the charging of electricity price low ebb moment, when electricity price peak
Duan Fang electricity, to further gentle load curve and obtain corresponding income；Response for thermic load based on electricity price, passes through grill pan
The cooperation of furnace and heat accumulation, in paddy rate period, electric boiler is worked with maximum power, extra other than supplying normal thermic load
Heat be sent into heat-storing device, in peak rate period, electric boiler and heat-storing device joint supply thermic load, wherein heat-storing device is excellent
First use；
Response based on electricity price, energy company need to pay the economy cost answered to induce user to participate in response, also
It is the variation of sale of electricity income after time-of-use tariffs are implemented, calculation formula is as follows,
In formula, CPSDRFor the expense of single Respondence to the Price of Electric Power, PallOrdinary telegram valence before implementing for time-of-use tariffs.
S22, the electric heating joint response mechanism based on excitation is established；It is described based on excitation electric heating joint response mechanism be
When peakload period or user dependability are affected, by providing the financial incentive of user response, with driver unit user
Active reduction plans, to guarantee the reliability level of remaining important load；
For based on excitation electric load response, user Emergency time receive energy company sending response signal after,
Response ratio is determined in conjunction with the power-cut wish of itself, and response model is expressed as follows
Pti=θ ki×Pt
Wherein, PtiLoad after indicating response, PtIndicate original loads, kiRatio is cut down for electric load as defined in energy company
Example, θ indicate the power-cut wish of user；
It is similar with electric load for the thermic load response based on excitation, after thermic load point receives reduction signal, comprehensively consider
The wish of itself determines the reduction ratio of thermic load, and response model is expressed as follows
Qti=λ hi×Qt
In formula, QtiThermic load after indicating response；QtIndicate original loads；hiIt is cut down for thermic load as defined in energy company
Ratio；The interruption heat supply wish of λ expression user；
Response based on excitation needs energy company to pay economy cost, i.e. excitation expense, the expense under single activation
Calculation formula is as follows
CIBDR=(Pti-Pt)×tir×E+(Qti-Qt)×tir×Ch
Wherein, CIBDRFor the expense of single activation response, E is the compensation after unit energy curtlaiment；ChFor the reduction of unit heat
Compensation afterwards, tirIndicate the response time.
Preferably, the step S3 specifically includes following content,
S31, the power curve for obtaining initial electric load, thermic load and photovoltaic；
S32, judge whether electric load and thermic load participate in the response based on electricity price, if so, in conjunction with the sound based on electricity price
The timing power of new mechanism electric load curve and electric boiler is answered, and combines the calculating of the response based on electricity price in step S21 public
Formula calculates response expense；If it is not, the timing power of electric load curve and electric boiler before then maintaining is constant；
S33, the non-failure operation time that each element is determined in conjunction with the power output model of each element；
S34, simulation clock promote certain time length, and judge whether sampling to fault element, if so, thening follow the steps S35；
If it is not, thening follow the steps S37；
S35, the fault correction time of fault element is sampled, judges whether fault element is higher level's electric network fault,
If so, micro-capacitance sensor is enabled to run in the form of isolated island, electric load is supplied by photovoltaic and electric storage device, and executes step S38；If it is not,
Then follow the steps S36；
S36, fault element are photovoltaic, energy storage device or electric boiler, update the corresponding power output of fault element and load curve,
And execute step S38；Wherein, its power output is zero after photovoltaic failure, and operation, electric boiler failure are no longer participate in after energy storage device failure
Thermic load is supplied by heat-storing device afterwards；
S37, judge whether net load is greater than interconnection capacity, if so, thening follow the steps S38；If it is not, thening follow the steps
S310；
S38, real-time power output and load in conjunction with photovoltaic and energy storage device, judge whether it meets for electric equilibrium, if so,
Directly execute step S39；If it is not, the electric load response in step S22 based on excitation and the thermic load based on excitation is then combined to ring
Model is answered, the active for starting electrothermal load is cut down, and combines the expense calculation formula in step S22, and calculating curtails expenditure；If cutting
It can not still restore electricity after subtracting, cut off load until for electric equilibrium, and count and lack the reliabilities such as power supply volume and scarce heating load and refer to
Mark, and execute step S39；
S39, binding member power output the model runing time new to fault element are sampled；
Runing time in S310, judgment step S39 simulates duration as defined in whether reaching, if so, statistics electric heating coupling
Close lacking power supply volume and scarce heating load year and terminating estimation flow for microgrid；If it is not, then return step S34.
Preferably, electric heating joint response model is established for target so that comprehensive benefit is optimal in step S4, objective function is
Wherein, WpIndicate the electro-thermal response total degree based on electricity price every year on average, WqIt indicates every year on average based on the sound of excitation
Total degree is answered, i and j, which are respectively indicated, is currently based on electricity price and the response times based on excitation, CPSDRWith CIBDRRespectively indicate single electricity
The expense of valence response and exciter response；ReWith RhIt respectively indicates and lacks power supply volume and year scarce heating load, ω yeareWith ωhRespectively indicate list
The cost of energy loss of position electric energy and thermal energy.
Preferably, combine response model setting constraint condition to the optimal electric heating established for target of comprehensive benefit, with reality
Existing benefit is optimal, and the constraint condition is specific as follows,
A, power-balance constraint；The electric heating power output of electro thermal coupling microgrid needs to match with the load of electric heating, described in setting
Power-balance constraint is as follows,
PPV(t)+Pbattery(t)+Pgrid(t)=Lele(t)
PEB(t)+PHS(t)=Lheat(t)
Wherein, PPV(t) it contributes for the distributed photovoltaic of t moment, PgridIt (t) is the output power of higher level's power grid of t moment,
PbatteryIt (t) is the realtime power of electric storage device, Lele(t)、Lheat(t) be respectively t moment microgrid in electricity, thermic load, PHS
(t) it contributes for the heat accumulation equipment of t moment, PEB(t) it contributes for the electric boiler of t moment；
B, interconnection capacity-constrained；Net load in micro-capacitance sensor cannot be greater than the maximum capacity of interconnection, set described
Winding thread capacity-constrained is as follows,
Lele(t)-PPV(t)-Pbattery(t) < Ccon
Wherein, CconIndicate the maximum capacity of interconnection；
C, the value range constraint of optimization object；When adjusting and optimizing object, it is necessary to assure the size relation of peak Pinggu electricity price,
The load based on excitation, which cuts down ratio, simultaneously cannot be greater than 1, and the value range constraint for setting the optimization object is as follows,
Poff≤Pmid≤Pon
0≤ki≤1
0≤hi≤1
D, equipment operation constraint；The equipment runs the charge and discharge for being constrained to storage and heat-storing device or charge and discharge thermal power not
It can exceed that maximum allowable limit value, the capacity of energy storage must satisfy place capacity limitation, while the heats power of electric boiler cannot surpass
Cross the maximum allowable heats power of equipment.
Preferably, the step S5 specifically includes following content,
S51, initial population is generated；Determine the initial code of population scale and individual, i.e., optimization object in each individual
Initial value；
S52, the objective function for meeting the individual of constraint is calculated；It is current excellent with the calculating of economic evaluation method in conjunction with reliability
Change reliability index and response expense individual under object value, and is calculated in population each according to the objective function in step S4
The target function value of individual；
S53, the judgement of optimum individual convergence；Whether the optimum individual for meeting constraint constraint in judgment step S52 restrains, if
It is then to decode it output, to combine response mechanism as optimal electric heating；If it is not, thening follow the steps S54；
S54, sub- individual choice；In conjunction with roulette algorithms selection individual, the target function value of each individual is calculated, and by just
Ratio forms disk, and individual comprehensive benefit is maximum, then area of the individual on disk is bigger, by the side for generating random number
Formula determines which individual is selected, and guarantees that the bigger individual of objective function is genetic to the next generation with biggish probability；If in population
Individual sum is N, and the target function value of individual i is fi, then the probability that individual i is selected is,
S55, crossing operation；In son individual after selection, to the biggish individual of objective function, root between each height individual
Single point crossing is carried out according to certain probability；
S56, mutation operator；It is internal to the individual after intersection, 01 transformation is carried out to gene code in conjunction with mutation probability, and return
Step S52.
The beneficial effects of the present invention are: the present invention is by introducing the basic structure and main element of electro thermal coupling microgrid
Power output model and analyze electricity price with excitation two kinds of policies under electric heating combine response mechanism；And on this basis, it proposes and examines
The microgrid reliability and economic evaluation method of electric heating joint demand response are considered, to consider the overall economy quality after reliability cost
Optimal is objective function, establishes electric heating joint optimal response model；Model optimization solution side of the final design based on genetic algorithm
Method.The optimum results of model, which demonstrate the optimal response model that the present invention is mentioned, can instruct energy company to design reasonable responder
Case realizes the maximization of electro thermal coupling microgrid comprehensive benefit.
Detailed description of the invention
Fig. 1 is the structural schematic diagram of electro thermal coupling microgrid described in the embodiment of the present invention；
Fig. 2 is the method for building up process of optimal response model in the embodiment of the present invention；
Fig. 3 is commented based on the response of electric heating joint electro thermal coupling microgrid progress reliability and economy in the embodiment of the present invention
The flow diagram estimated；
Fig. 4 is the model solution process in the embodiment of the present invention based on genetic algorithm.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, below in conjunction with attached drawing, to the present invention into
Row is further described.It should be appreciated that the specific embodiments described herein are only used to explain the present invention, it is not used to
Limit the present invention.
As shown in Figures 1 to 4, it is provided in the present embodiment and a kind of comprehensively considers reliability and the electro thermal coupling of economy is micro-
The method for building up of net optimal response model, the electro thermal coupling microgrid include micro-capacitance sensor, heat supply network and electric boiler, in the micro-capacitance sensor
Element include electric load, the electric energy bus powered to electric load, distributed photovoltaic, electric storage device and be connected with higher level's power grid
Interconnection；Element in the heat supply network includes thermal energy bus, thermic load and heat-storing device；The electric boiler connects the electricity
Energy bus and the thermal energy bus enable electric energy and thermal energy couple；Include the following steps,
S1, the power output model for establishing each element in electro thermal coupling microgrid；
S2, electric heating joint response mechanism is established；
S3, electro thermal coupling microgrid progress reliability and economy are assessed based on the response of electric heating joint；
S4, electric heating joint response model is established for target so that comprehensive benefit is optimal；
S5, electric heating joint optimal response model is solved based on genetic algorithm.
In the present embodiment, the electro thermal coupling microgrid passes through the energy such as electric boiler using micro-capacitance sensor and heat supply network as Typical Representative
Conversion equipment realize conversion between different energy sources type with couple, in conjunction with energy hub model, in electro thermal coupling microgrid,
Micro-capacitance sensor includes electric load, the electric energy bus powered to load, distributed photovoltaic, electric storage device and is connected with higher level's power grid
Micro-capacitance sensor interconnection；Heat supply network mainly includes thermal energy bus, thermic load and heat-storing device；Electric boiler by connection electric energy bus with
Thermal energy bus realizes the coupling of two kinds of energy.
Embodiment one
In the present embodiment, the step S1 includes following particular content, it is contemplated that the temporal aspect of microgrid, each main element
Model of contributing is as follows:
S11, photovoltaic power output model is established；Statistical history data obtain annual intensity of illumination sequence, in conjunction with intensity of illumination
Annual photovoltaic power output model is determined with the relational expression of photovoltaic power output；
S12, electricity, thermic load power output model are established；Real-time electric load can be small by typical week in year-, day in week-and day-
When curve obtain, calculation formula is,
Lt=Lp×Pw×Pd×Ph(t)
Wherein, LpFor year load peak, PwFor year-corresponding with t-th hour all load percentage coefficients, PdFor correspondence
Week-daily load percent coefficient, PhIt (t) is corresponding hour day-load percentage coefficient；
The annual time series data of the thermic load is obtained by the investigation of actual area；
S13, electric storage device power output model is established；The real time execution situation of the electric storage device mainly passes through charge-discharge electric power
With two parameter representatives of state-of-charge, dynamic model is as follows,
Wherein, SSOCIt (t) is the state-of-charge of t moment electric storage device；PCES、PDESThe respectively charge and discharge electric work of charge storage unit
Rate；ΔtηCES、ηDESRespectively efficiency for charge-discharge；ESOC.maxFor rated capacity；
S14, heat-storing device power output model is established；The state change of the heat-storing device is according to heat storage capacity, input and output
Thermal power and thermal losses, which calculate, to be obtained, its calculation formula is,
S (t)=S (t-1)+Phs(t)Δt-η×S(t-1)
Wherein, S (t) and S (t-1) respectively indicate the heat storage capacity of t moment Yu t-1 moment, Phs(t) indicate that heat-storing device exists
The output power of t moment, η indicate the heat accumulation efficiency of heat-storing device；
S15, electric boiler power output model is established；The calculation formula of the heats power of the electric boiler is,
Qeb=ηebPeb
Wherein, QebIndicate the heats power of electric boiler, ηebIndicate thermoelectric (al) power ratio, PebIndicate the electrical power of device.
Embodiment two
In the present embodiment, the step S2 includes following particular content,
S21, the electric heating joint response mechanism based on electricity price is established；Under peak valley time-division electricity price, user understands adjust automatically certainly
The electricity consumption behavior of body, when electricity consumption when the peak of part is transferred to paddy, to reduce electricity cost, user uses Electrical change different moments
Measuring calculation formula is,
Wherein, Qon, QmidWith QoffRespectively indicate peak, flat, the paddy period original electricity consumption, Δ Qon, Δ QmidWith Δ QoffPoint
Not Biao Shi peak, flat, the paddy period electric load knots modification, Pon, PmidWith PoffRespectively indicate peak, flat, the paddy period electricity price, Δ Pon,
ΔPmidWith Δ PoffThe electricity price knots modification of 3 periods is respectively indicated, ε is power price coefficient of elasticity；
Changing load amount under comprehensive original loads and tou power price can be utilized the demand based on electricity price and ring
The real-time electric load that mechanism is later is answered,
Wherein, L0(t) load for implementing the t moment before and after time-of-use tariffs, T are respectively indicated with L (t)on, TmidWith ToffRespectively
Indicate peak Pinggu period of electricity consumption, Δ Ton, Δ TmidWith Δ ToffRespectively indicate the duration of 3 periods；
Electric storage device is as special electric load, and landing is using " low storage is high-incidence " strategy under tou power price, i.e., electricity price is low
The charging of paddy period, electricity price peak period electric discharge, to further gently meet curve and obtain corresponding income.For thermic load
Influence based on electricity price, the main cooperation for passing through electric boiler and heat-storing device, in paddy rate period, electric boiler is with maximum power work
Make, other than supplying normal thermic load, extra heat is sent into heat-storing device, and in peak rate period, need electric boiler with
Heat-storing device joint supply thermic load, wherein heat-storing device preferentially uses.
Under the response based on electricity price, energy company needs to pay the economy cost answered to induce user to participate in response,
The variation of sale of electricity income namely after time-of-use tariffs implementation, calculation formula is as follows,
In formula, CPSDRFor the expense of single Respondence to the Price of Electric Power, PallOrdinary telegram valence before implementing for time-of-use tariffs.It can in conjunction with above formula
Carry out the response economic analysis based on electricity price.
S22, the electric heating joint response mechanism based on excitation is established；It is described based on excitation electric heating joint response mechanism be
When peakload period or user dependability are affected, by providing the corresponding financial incentive of user, with driver unit user
Active reduction plans, to guarantee the reliability level of remaining important load；The mode of excitation is specified by supplier of electricity and user
Two-way contract determines in advance.
For based on excitation electric load response, user Emergency time receive energy company sending response signal after,
Response ratio is determined in conjunction with the power-cut wish of itself, and response model is expressed as follows
Pti=θ ki×Pt
Wherein, PtiLoad after indicating response, PtIndicate original loads, kiRatio is cut down for electric load as defined in energy company
Example, θ indicate the power-cut wish of user；
It is similar with electric load for the thermic load response based on excitation, after thermic load point receives reduction signal, comprehensively consider
The wish of itself determines the reduction ratio of thermic load, and response model is expressed as follows
Qti=λ hi×Qt
In formula, QtiThermic load after indicating response；QtIndicate original loads；hiIt is cut down for thermic load as defined in energy company
Ratio；λ indicates that the interruption heat supply wish of user, range meet exponential distribution between 0-1；
Response based on excitation needs energy company to pay economy cost, i.e. excitation expense, single activation response takes
It is as follows with calculation formula
CIBDR=(Pti-Pt)×tir×E+(Qti-Qt)×tir×Ch
Wherein, CIBDRFor the expense of single activation response, E is the compensation after unit energy curtlaiment；ChFor the reduction of unit heat
Compensation afterwards, tirIndicate the response time.
Embodiment three
As shown in figure 3, carrying out reliability and economy to electro thermal coupling microgrid based on electric heating joint response in the present embodiment
It is assessed.The temporal characteristics and demand response mechanism of binding member account for electric heating joint using Monte Carlo simulation and ring
Reliability assessment after answering, and the economy for calculating response represents.Emphasis considers photovoltaic, storage, heat accumulation, electric boiler and higher level
The failure of the elements such as power grid influences, and the time between failures and fault correction time of each element are obeyed respectively with equipment failure rate
It is the exponential distribution of parameter with repair rate.
Reliability index calculates separately demand response expense to lack power supply volume and scarce heating load as representative.It is fast in electric load
Under the background that speed increases, the net load being both likely to occur in electro thermal coupling microgrid is greater than interconnection capacity so that interconnection mistake
Carrying row and must cut off and meet, it is also possible to because equipment failure influence electro thermal coupling microgrid connectivity and cause to meet
Can not normal function, need to comprehensively consider both the above situation.Therefore, the step S3 specifically includes following content,
S31, the power curve for obtaining initial electric load, thermic load and photovoltaic；
S32, judge whether electric load and thermic load participate in the response based on electricity price, if so, in conjunction with the sound based on electricity price
The timing power of new mechanism electric load curve and electric boiler is answered, and combines the calculating of the response based on electricity price in step S21 public
Formula calculates response expense；If it is not, the timing power of electric load curve and electric boiler before then maintaining is constant；
S33, the non-failure operation time that each element is determined in conjunction with the power output model of each element；
S34, simulation clock promote certain time length, and judge whether sampling to fault element, if so, thening follow the steps S35；
If it is not, thening follow the steps S37；
S35, the fault correction time of fault element is sampled, judges whether fault element is higher level's electric network fault,
If so, micro-capacitance sensor is enabled to run in the form of isolated island, electric load is supplied by photovoltaic and electric storage device, and executes step S38；If it is not,
Then follow the steps S36；
S36, fault element are photovoltaic, energy storage device or electric boiler, update the corresponding power output of fault element and load curve,
And execute step S38；Wherein, its power output is zero after photovoltaic failure, and operation, electric boiler failure are no longer participate in after energy storage device failure
Thermic load is supplied by heat-storing device afterwards；
S37, judge whether net load is greater than interconnection capacity, if so, thening follow the steps S38；If it is not, thening follow the steps
S310；
S38, real-time power output and load in conjunction with photovoltaic and energy storage device, judge whether it meets for electric equilibrium, if so,
Directly execute step S39；If it is not, the electric load response in step S22 based on excitation and the thermic load based on excitation is then combined to ring
Model is answered, the active for starting electrothermal load is cut down, and combines the expense calculation formula in step S22, and calculating curtails expenditure；If cutting
It can not still restore electricity after subtracting, cut off load until for electric equilibrium, and count and lack the reliabilities such as power supply volume and scarce heating load and refer to
Mark, and execute step S39；
S39, binding member power output the model runing time new to fault element are sampled；
Runing time in S310, judgment step S39 simulates duration as defined in whether reaching, if so, statistics electric heating coupling
Close lacking power supply volume and scarce heating load year and terminating estimation flow for microgrid；If it is not, then return step S34.
Example IV
In the present embodiment, electric heating joint response model is established for target so that comprehensive benefit is optimal in step S4.Electro thermal coupling
The demand response of microgrid is also required to pay certain economic cost while promoting reliability index, for overall balance response
Reliability and economy propose a kind of with the optimal electric heating joint response model for target of comprehensive benefit, the objective function of model
For
Wherein, WpIndicate the electro-thermal response total degree based on electricity price every year on average, WqIt indicates every year on average based on the sound of excitation
Total degree is answered, i and j, which are respectively indicated, is currently based on electricity price and the response times based on excitation, CPSDRWith CIBDRRespectively indicate single electricity
The expense of valence response and exciter response；ReWith RhIt respectively indicates and lacks power supply volume and year scarce heating load, ω yeareWith ωhRespectively indicate list
The cost of energy loss of position electric energy and thermal energy.
In the present embodiment, response model is combined with the optimal electric heating for target of comprehensive benefit, with electricity price P when peak valleyon、Pmid、
PoffRatio k is cut down with electric load as defined in energy companyi, thermic load cut down ratio hiFor optimization object, it will affect and meet sound
The ratio answered.With the promotion of response ratio, the cost of energy loss of electro thermal coupling microgrid is reduced, but the sound that energy company pays
Expense is answered to increase, it is thus necessary to determine that reasonable response scheme is to realize that whole benefit is optimal.Therefore, it is to comprehensive benefit is optimal
The electric heating joint response model that target is established sets constraint condition, and to realize that benefit is optimal, the constraint condition is specific as follows,
A, power-balance constraint；The electric heating power output of electro thermal coupling microgrid needs to match with the load of electric heating, described in setting
Power-balance constraint is as follows,
PPV(t)+Pbattery(t)+Pgrid(t)=Lele(t)
PEB(t)+PHS(t)=Lheat(t)
Wherein, PPV(t) it contributes for the distributed photovoltaic of t moment, PgridIt (t) is the output power of higher level's power grid of t moment,
PbatteryIt (t) is the realtime power of electric storage device, Lele(t)、Lheat(t) be respectively t moment microgrid in electricity, thermic load, PHS
(t) it contributes for the heat accumulation equipment of t moment, PEB(t) it contributes for the electric boiler of t moment；
B, interconnection capacity-constrained；Interconnection plays the role of connecting micro-capacitance sensor and higher level's power grid, itself has certain
Transmission limitation otherwise need cut-out electric it is, net load in micro-capacitance sensor cannot be greater than the maximum capacity of interconnection
Load with guarantee interconnection will not overlond running, it is as follows to set the interconnection capacity-constrained, interconnection capacity-constrained；
Lele(t)-PPV(t)-Pbattery(t) < Ccon
Wherein, CconIndicate the maximum capacity of interconnection；
C, the value range constraint of optimization object；When adjusting and optimizing object, it is necessary to assure the size relation of peak Pinggu electricity price,
The load based on excitation, which cuts down ratio, simultaneously cannot be greater than 1, and the value range constraint for setting the optimization object is as follows,
Poff≤Pmid≤Pon
0≤ki≤1
0≤hi≤1
D, equipment operation constraint；The equipment operation is constrained to the charge and discharge or charge and discharge hot merit of electric storage device and heat-storing device
Rate is no more than maximum allowable limit value, and the capacity of energy storage must satisfy place capacity limitation, while the heats power of electric boiler is not
It can exceed that the maximum allowable heats power of equipment.
Embodiment five
As shown in figure 4, in the present embodiment, the optimal response model solution method based on genetic algorithm.Select genetic algorithm
Model is solved, its essence is a kind of simulations of biological evolution process, by heredity generation upon generation of, so that in final population
Optimum individual convergence with an optimal value.In genetic algorithm, characterize it is each individual be its chromosome, and if chromosome by
Butt carries out binary coding to the chromosome of individual because of Duan Zucheng, each independent attribute of gene Duan Youqi in order to subsequent
Genetic operation one chromosome is divided into five gene sections, respectively indicates peak electricity price, ordinary telegram valence, paddy electricity in conjunction with optimization object
The thermic load that electric load under valence, excitation is cut down under ratio, excitation cuts down ratio；The data value of each gene section is optimized
Object using binary coding representation, and is arranged in order as chromosome, carries out subsequent genetic operation；Coded object is set
Value range with meet optimization object value range constraint；Power-balance and interconnection capacity-constrained are in reliability assessment mistake
As precondition to judge whether to cut down or cut off load in journey.Then the model solution process based on genetic algorithm is as follows, (institute
It states step S5 and specifically includes following content)
S51, initial population is generated；Determine the initial code of population scale and individual, i.e., optimization object in each individual
Initial value；
S52, the objective function for meeting the individual of constraint is calculated；It is current excellent with the calculating of economic evaluation method in conjunction with reliability
Change reliability index and response expense individual under object value, and is calculated in population each according to the objective function in step S4
The target function value of individual；
S53, the judgement of optimum individual convergence；Whether the optimum individual for meeting constraint constraint in judgment step S52 restrains, if
It is then to decode it output, to combine response mechanism as optimal electric heating；If it is not, thening follow the steps S54；
S54, sub- individual choice；In conjunction with roulette algorithms selection individual, the target function value of each individual is calculated, and by just
Ratio forms disk, and individual comprehensive benefit is maximum, then area of the individual on disk is bigger, by the side for generating random number
Formula determines which individual is selected, and guarantees that the bigger individual of objective function is genetic to the next generation with biggish probability；If in population
Individual sum is N, and the target function value of individual i is fi, then individualiThe probability being selected is,
S55, crossing operation；In son individual after selection, to the biggish individual of objective function, root between each height individual
Single point crossing is carried out according to certain probability；
S56, mutation operator；It is internal to the individual after intersection, 01 transformation is carried out to gene code in conjunction with mutation probability, and return
Step S52.
Embodiment six
In the present embodiment, analyzed by taking the electro thermal coupling microgrid in certain industrial park as an example.
(1) example overview and basic parameter
The basic structure of electro thermal coupling microgrid in the industrial park is as shown in Figure 1.The installed capacity of photovoltaic unit is
5.4MW；Electric storage device rated capacity 18MWh, maximum allowable charge-discharge electric power 1.35MW, efficiency for charge-discharge 0.85；Electric boiler is most
Big electrical power 6MW, hotspot stress 0.9；Heat-storing device rated capacity 12MWh, maximum charge and discharge thermal power 2.4MW, the charge and discharge thermal efficiency
0.9.Electric load peak value 20MW in microgrid, thermic load peak value 4.6MW, the maximum capacity of electro thermal coupling microgrid interconnection are 16MW.
Set electricity price when not considering demand response as 0.5 yuan/(kWh), among one day, choose 11:00-15:00,
When 19:00-21:00 is peak；When 00:00-07:00 is paddy；Remaining period is usually that the price elastic coefficient of different periods is shown in
Table 1.In terms of exciter response, the compensation Ch for cutting down units of heat is 3.2 yuan/(kWh), the compensation E for cutting down unit quantity of electricity is 8
Member/(kWh).The cost of energy loss of unit of electrical energy and thermal energy is respectively 0.8 yuan/(kWh) with 0.6 yuan/(kWh).Respectively
The dependability parameter of class equipment is shown in Table 2.
1 price elasticity matrix of table
2 component reliability parameter of table
(2) numerical results
The industrial area has been carried out demand response at present, 0.7 yuan of electricity price/(kWh) when peak, usually 0.5 yuan of electricity price/
(kWh), 0.3 yuan of electricity price/(kWh) when paddy, electric load provide reduction ratio 80%, thermic load ratio 70%.But it is responded
The setting of parameter is to refer to general industry value, and unbonded institute's climbing form type of the present invention optimizes.
Response model to prove that the present invention is mentioned can realize the optimal of response policy, compare no demand response respectively, adopt
Power supply volume R is lacked with current demand response and using the year under three kinds of scenes of demand response strategy after Optimization Solutione, lack supply
Heat Rh, demand response expense CDRAnd comprehensive benefit IDR, the results are shown in Table 3:
Reliability index and comprehensive benefit under 3 different scenes of table
Scene 1 indicates no demand response in table, and scene 2 and 3 respectively indicates the response after existing response policy and optimization
Strategy.Under scene 3, using the response scheme after the mentioned model optimization of the present invention are as follows: 0.76 yuan of electricity price/(kWh) when peak is put down
When 0.47 yuan of electricity price/(kWh), 0.25 yuan of electricity price/(kWh) when paddy, electric load provides reduction ratio 74%, thermic load ratio
65%.Although comparison is it is found that increase the investment of demand response after optimization, reliability index is more excellent, while considering reliable
Property loss and response expense, the response economy of electro thermal coupling microgrid entirety is more excellent after optimizing, it was demonstrated that institute's climbing form of the present invention
The validity of type.
By using above-mentioned technical proposal disclosed by the invention, following beneficial effect has been obtained:
The present invention provides a kind of building for electro thermal coupling microgrid optimal response model for comprehensively considering reliability and economy
Cube method, by introducing the basic structure of electro thermal coupling microgrid and power output model and analysis electricity price and the excitation of main element
Electric heating under two kinds of policies combines response mechanism；And on this basis, it proposes and considers that the microgrid of electric heating joint demand response can
By property and economic evaluation method, to consider that the overall economy quality after reliability cost is optimal for objective function, electric heating connection is established
Close optimal response model；Model optimization method for solving of the final design based on genetic algorithm.Model optimization result in the present invention
Demonstrating mentioned optimal response model can instruct energy company to design reasonable response scheme, realize that electro thermal coupling microgrid is comprehensive
The maximization of benefit.
The above is only a preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
For member, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also answered
Depending on protection scope of the present invention.
Claims (7)
1. a kind of method for building up for the electro thermal coupling microgrid optimal response model for comprehensively considering reliability and economy, the electric heating
Coupling microgrid includes micro-capacitance sensor, heat supply network and electric boiler, and the element in the micro-capacitance sensor includes electric load, the electricity powered to electric load
It can bus, distributed photovoltaic, electric storage device and the interconnection being connected with higher level's power grid；Element in the heat supply network includes thermal energy
Bus, thermic load and heat-storing device；The electric boiler connects the electric energy bus and the thermal energy bus, enables electric energy and thermal energy
Coupling；It is characterized by comprising following steps,
S1, the power output model for establishing each element in electro thermal coupling microgrid；
S2, electric heating joint response mechanism is established；
S3, electro thermal coupling microgrid progress reliability and economy are assessed based on the response of electric heating joint；
S4, electric heating joint response model is established for target so that comprehensive benefit is optimal；
S5, electric heating joint optimal response model is solved based on genetic algorithm.
2. the electro thermal coupling microgrid optimal response model according to claim 1 for comprehensively considering reliability and economy is built
Cube method, it is characterised in that: the step S1 includes following particular content,
S11, photovoltaic power output model is established；Statistical history data obtain annual intensity of illumination sequence, in conjunction with intensity of illumination and light
The relational expression of volt power output determines annual photovoltaic power output model；
S12, electricity, thermic load power output model are established；Real-time electric load can be bent by typical week in year-, day in week-and hour day-
Line obtains, and calculation formula is,
Lt=Lp×Pw×Pd×Ph(t)
Wherein, LpFor year load peak, PwFor year-corresponding with t-th hour all load percentage coefficients, PdFor corresponding week-
Daily load percent coefficient, PhIt (t) is corresponding hour day-load percentage coefficient；
The annual time series data of the thermic load is obtained by the investigation of actual area；
S13, electric storage device power output model is established；The real time execution situation of the electric storage device passes through charge-discharge electric power and charged shape
Two parameter representatives of state, dynamic model is as follows,
Wherein, SSOCIt (t) is the state-of-charge of t moment electric storage device；PCES、PDESThe respectively charge-discharge electric power of charge storage unit；Δ
tηCES、ηDESRespectively efficiency for charge-discharge；ESOC.maxFor rated capacity；
S14, heat-storing device power output model is established；The state change of the heat-storing device is according to heat storage capacity, input and output hot merit
Rate and thermal losses, which calculate, to be obtained, its calculation formula is,
S (t)=S (t-1)+Phs(t)Δt-η×S(t-1)
Wherein, S (t) and S (t-1) respectively indicate the heat storage capacity of t moment Yu t-1 moment, Phs(t) indicate heat-storing device in t
The output power at quarter, η indicate the heat accumulation efficiency of heat-storing device；
S15, electric boiler power output model is established；The calculation formula of the heats power of the electric boiler is,
Qeb=ηebPeb
Wherein, QebIndicate the heats power of electric boiler, ηebIndicate thermoelectric (al) power ratio, PebIndicate the electrical power of device.
3. the electro thermal coupling microgrid optimal response model according to claim 1 for comprehensively considering reliability and economy is built
Cube method, it is characterised in that: the step S2 includes following particular content,
S21, the electric heating joint response mechanism based on electricity price is established；Under peak valley time-division electricity price, user understands adjust automatically itself
Electricity consumption behavior, when electricity consumption when the peak of part is transferred to paddy, to reduce electricity cost, electricity consumption of the user in different moments changes meter
Calculating formula is,
Wherein, Qon, QmidWith QoffRespectively indicate peak, flat, the paddy period original electricity consumption, Δ Qon, Δ QmidWith Δ QoffTable respectively
Show peak, flat, the paddy period electric load knots modification, Pon, PmidWith PoffRespectively indicate peak, flat, the paddy period electricity price, Δ Pon, Δ
PmidWith Δ PoffThe electricity price knots modification of 3 periods is respectively indicated, ε is power price coefficient of elasticity；
Changing load amount under comprehensive original loads and tou power price, acquisition use the demand response mechanism based on electricity price with
Real-time electric load afterwards,
Wherein, L0(t) load for implementing the t moment before and after time-of-use tariffs, T are respectively indicated with L (t)on, TmidWith ToffIt respectively indicates
Peak Pinggu period of electricity consumption, Δ Ton, Δ TmidWith Δ ToffRespectively indicate the duration of 3 periods；
Electric storage device, will be under tou power price as special electric load, and electricity price low ebb moment charging, electricity price peak period puts
Electricity, to further gentle load curve and obtain corresponding income；Response for thermic load based on electricity price, by electric boiler with
The cooperation of heat accumulation, in paddy rate period, electric boiler is worked with maximum power, other than supplying normal thermic load, extra heat
Amount is sent into heat-storing device, and in peak rate period, electric boiler and heat-storing device joint supply thermic load, wherein heat-storing device preferentially makes
With；
Response based on electricity price, energy company need to pay the economy cost answered to induce user to participate in response, that is, peak
The variation of sale of electricity income after paddy electricity valence is implemented, calculation formula is as follows,
In formula, CPSDRFor the expense of single Respondence to the Price of Electric Power, PallOrdinary telegram valence before implementing for time-of-use tariffs.
S22, the electric heating joint response mechanism based on excitation is established；The electric heating joint response mechanism based on excitation is in spike
When load period or user dependability are affected, by providing the financial incentive of user response, actively with driver unit user
Reduction plans, to guarantee the reliability level of remaining important load；
For based on excitation electric load response, user Emergency time receive energy company sending response signal after, in conjunction with
The power-cut wish of itself determines response ratio, and response model is expressed as follows
Pti=θ ki×Pt
Wherein, PtiLoad after indicating response, PtIndicate original loads, kiRatio, θ are cut down for electric load as defined in energy company
Indicate the power-cut wish of user；
It is similar with electric load for the thermic load response based on excitation, after thermic load point receives reduction signal, comprehensively consider itself
Wish determine the reduction ratio of thermic load, response model is expressed as follows
Qti=λ hi×Qt
In formula, QtiThermic load after indicating response；QtIndicate original loads；hiRatio is cut down for thermic load as defined in energy company；
The interruption heat supply wish of λ expression user；
Response based on excitation needs energy company to pay economy cost, i.e. excitation expense, and the expense under single activation calculates
Formula is as follows
CIBDR=(Pti-Pt)×tir×E+(Qti-Qt)×tir×Ch
Wherein, CIBDRFor the expense of single activation response, E is the compensation after unit energy curtlaiment；ChAfter being cut down for unit heat
Compensation, tirIndicate the response time.
4. the electro thermal coupling microgrid optimal response model according to claim 1 for comprehensively considering reliability and economy is built
Cube method, it is characterised in that: the step S3 specifically includes following content,
S31, the power curve for obtaining initial electric load, thermic load and photovoltaic；
S32, judge whether electric load and thermic load participate in the response based on electricity price, if so, in conjunction with the response machine based on electricity price
System updates the timing power of electric load curve and electric boiler, and combines the calculation formula of the response based on electricity price in step S21, meter
Calculate response expense；If it is not, the timing power of electric load curve and electric boiler before then maintaining is constant；
S33, the non-failure operation time that each element is determined in conjunction with the power output model of each element；
S34, simulation clock promote certain time length, and judge whether sampling to fault element, if so, thening follow the steps S35；If
It is no, then follow the steps S37；
S35, the fault correction time of fault element is sampled, judges whether fault element is higher level's electric network fault, if so,
Micro-capacitance sensor is then enabled to run in the form of isolated island, electric load is supplied by photovoltaic and electric storage device, and executes step S38；If it is not, then executing
Step S36；
S36, fault element are photovoltaic, energy storage device or electric boiler, update the corresponding power output of fault element and load curve, and hold
Row step S38；Wherein, its power output is zero after photovoltaic failure, and operation, heat after electric boiler failure are no longer participate in after energy storage device failure
Load is supplied by heat-storing device；
S37, judge whether net load is greater than interconnection capacity, if so, thening follow the steps S38；If it is not, thening follow the steps S310；
S38, real-time power output and load in conjunction with photovoltaic and energy storage device, judge whether it meets for electric equilibrium, if so, directly
Execute step S39；If it is not, the electric load response in step S22 based on excitation and the thermic load based on excitation is then combined to respond mould
Type, the active for starting electrothermal load is cut down, and combines the expense calculation formula in step S22, and calculating curtails expenditure；If after cutting down
It can not still restore electricity, cut off load until for electric equilibrium, and count and lack the reliability indexs such as power supply volume and scarce heating load, and
Execute step S39；
S39, binding member power output the model runing time new to fault element are sampled；
Runing time in S310, judgment step S39 simulates duration as defined in whether reaching, if so, statistics electro thermal coupling is micro-
It lacks power supply volume and scarce heating load the year of net and terminates estimation flow；If it is not, then return step S34.
5. the electro thermal coupling microgrid optimal response model according to claim 1 for comprehensively considering reliability and economy is built
Cube method, it is characterised in that: establish electric heating joint response model, objective function so that comprehensive benefit is optimal in step S4 for target
For
Wherein, WpIndicate the electro-thermal response total degree based on electricity price every year on average, WqIndicate that the response based on excitation every year on average is total
Number, i and j, which are respectively indicated, is currently based on electricity price and the response times based on excitation, CPSDRWith CIBDRSingle electricity price is respectively indicated to ring
It should be with the expense of exciter response；ReWith RhIt respectively indicates and lacks power supply volume and year scarce heating load, ω yeareWith ωhRespectively indicate unit electricity
It can be with the cost of energy loss of thermal energy.
6. the electro thermal coupling microgrid optimal response model according to claim 5 for comprehensively considering reliability and economy is built
Cube method, it is characterised in that: constraint condition is set to response model is combined with the optimal electric heating established for target of comprehensive benefit, with
Realize that benefit is optimal, the constraint condition is specific as follows,
A, power-balance constraint；The electric heating power output of electro thermal coupling microgrid needs to match with the load of electric heating, and the power is arranged
Constraints of Equilibrium is as follows,
PPV(t)+Pbattery(t)+Pgrid(t)=Lele(t)
PEB(t)+PHS(t)=Lheat(t)
Wherein, PPV(t) it contributes for the distributed photovoltaic of t moment, PgridIt (t) is the output power of higher level's power grid of t moment,
PbatteryIt (t) is the realtime power of electric storage device, Lele(t)、Lheat(t) be respectively t moment microgrid in electricity, thermic load, PHS
(t) it contributes for the heat accumulation equipment of t moment, PEB(t) it contributes for the electric boiler of t moment；
B, interconnection capacity-constrained；Net load in micro-capacitance sensor cannot be greater than the maximum capacity of interconnection, set the interconnection
Capacity-constrained is as follows,
Lele(t)-PPV(t)-Pbattery(t) < Ccon
Wherein, CconIndicate the maximum capacity of interconnection；
C, the value range constraint of optimization object；When adjusting and optimizing object, it is necessary to assure the size relation of peak Pinggu electricity price, simultaneously
Load based on excitation, which cuts down ratio, cannot be greater than 1, and the value range constraint for setting the optimization object is as follows,
Poff≤Pmid≤Pon
0≤ki≤1
0≤hi≤1
D, equipment operation constraint；The charge and discharge or charge and discharge thermal power that the equipment operation is constrained to storage and heat-storing device cannot surpass
Maximum allowable limit value is crossed, the capacity of energy storage must satisfy place capacity limitation, while the heats power of electric boiler is no more than set
Standby maximum allowable heats power.
7. the electro thermal coupling microgrid optimal response model according to claim 1 for comprehensively considering reliability and economy is built
Cube method, it is characterised in that: the step S5 specifically includes following content,
S51, initial population is generated；Determine the initial code of population scale and individual, i.e., optimization object is initial in each individual
Value；
S52, the objective function for meeting the individual of constraint is calculated；Current optimization pair is calculated in conjunction with reliability and economic evaluation method
Each individual in population is calculated as reliability index individual under value and response expense, and according to the objective function in step S4
Target function value；
S53, the judgement of optimum individual convergence；Whether the optimum individual for meeting constraint constraint in judgment step S52 restrains, if so,
Output is then decoded it, to combine response mechanism as optimal electric heating；If it is not, thening follow the steps S54；
S54, sub- individual choice；In conjunction with roulette algorithms selection individual, the target function value of each individual is calculated, and press direct proportion
Disk is formed, individual comprehensive benefit is maximum, then area of the individual on disk is bigger, determines by way of generating random number
Which fixed individual is selected, and guarantees that the bigger individual of objective function is genetic to the next generation with biggish probability；If individual in population
Sum is N, and the target function value of individual i is fi, then the probability that individual i is selected is,
S55, crossing operation；In son individual after selection, to the biggish individual of objective function, according to one between each height individual
Determine probability and carries out single point crossing；
S56, mutation operator；It is internal to the individual after intersection, 01 transformation, and return step are carried out to gene code in conjunction with mutation probability
S52。
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| CN112070374A (en) * | 2020-08-25 | 2020-12-11 | 天津大学 | Regional energy Internet energy supply reliability assessment method |
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| CN113111541A (en) * | 2021-05-11 | 2021-07-13 | 国网辽宁省电力有限公司鞍山供电公司 | Demand response modeling and energy efficiency improving method based on intelligent magnesite load regulation |
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