CN107025519A - Area distribution formula cool and thermal power polygenerations systeme MIXED INTEGER nonlinear model optimization method - Google Patents
Area distribution formula cool and thermal power polygenerations systeme MIXED INTEGER nonlinear model optimization method Download PDFInfo
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Abstract
The present invention proposes area distribution formula cool and thermal power polygenerations systeme MIXED INTEGER nonlinear model optimization method, distributing-supplying-energy system design and optimization is carried out for region load characteristic, guidance is provided for regional complex energy resource system overall planning, the running status feedback exported by model optimization carries out, with the transformation clearly according to property, reducing system balancing object load level to the building enclosure of region existing building.The present invention devises the technology composition and technical parameter of system not only according to sequential part throttle characteristics, there is provided the production run scene of co-generation system, real-time and accurately simulative optimization go out comprehensive benefit consider it is lower production the complete period in CCHP co-generation systems running status hourly and operational factor, provided for area distribution formula cool and thermal power polygenerations systeme design and optimization while having the rational solution of economy, the feature of environmental protection, energy saving concurrently.
Description
Technical field
The present invention relates to cooling heating and power generation system technical field, and in particular to area distribution formula cool and thermal power polygenerations systeme is mixed
Close integral nonlinear model optimization method.
Background technology
The production capacity powered mode drawback of " large-sized unit, high voltage, bulk power grid " increasingly appears, energy resource consumption and environmental crisis into
For social development it is very important the problem of.Adhere to that traditional energy utilization patterns can not be such that resource effectively recycles, can make
The whole resource environment of society is exacerbated, and causes the quick exhaustion of the energy.Therefore, swash along with government's liquefied natural gas
Encourage advocating for policy and energy-saving and emission-reduction index, comprehensive step energy consumption system --- cool and thermal power Poly-generation (Combined cooling
Heating and power, abbreviation CCHP) as cross-cutting Subjects Integration and Integration ofTechnology for solve the energy, environment can
Sustainable development provides a new thinking.
CCHP cool and thermal power Poly-generation be it is a kind of set up energy cascade utilization concept basis on, cogeneration of heat and power technology
It is combined with Refrigeration Technique, by generating electricity, heats (heating and hot water are supplied) and the integrated Poly-generation supply system of process of refrigerastion.
The system carries out classified utilization to the heat of different temperatures, and the high heat energy of grade is used to generate electricity, and the low thermal source of grade is used to freeze
Or heat supply, so as to avoid high temperature exhaust steam from being immediately discharged in air cause wastes and pollution, improve comprehensive utilization rate of energy source, tool
There is good economic benefit and environmental benefit.
CCHP multiple-supplyings advocate increase comprehensive utilization multinomial distribution formula energy output technology and auxiliary energy supply technology, including advanced
Gas turbine, miniature turbine, advanced internal combustion engine, fuel cell, reproducible energy source utilizing electricity generating techn, absorption refrigeration
Mechanical, electrical refrigeration machine and various energy source heat pumps, drying and energy recovery system, engine driving and electric drive both vapor compression system
System, heat accumulation, cold-storage, electric energy storage device.
The performance parameter of CCHP system operations depends greatly on the place capacity and its fortune for introducing production technology
Row strategy.Therefore, it is necessary to carry out the feasibility modeling scheme of specialty to ensure that system can perfectly match the load of user
Expected economic benefit, environmental benefit and energy-saving benefit index are realized while demand.Obviously single objective optimization is not
The engineering practice to CCHP of foregoing proposition is sufficient for, integrated multiple-objection optimization can provide association for preferable runnability
Adjust solution.Traditional multi-objective method can be divided into three major types：Goal constraint method is selected in multi-objective optimization question
Take one of sub-goal as the object function of new optimization problem, other sub-goals are converted into constraints.This side
Method there is human factor when realizing multiobjective optimization, it is necessary to the accumulation of the experience of technical staff；Goal programming rule is single first
The optimal solution of each specific item scalar functions is solely obtained, summation is then normalized, multiple-objection optimization is finally realized.Although this method
The optimal solution of gained after the influence of human factor, but normalization summation can be avoided to tend not to meet multi-objective optimization question
Practice calls；Target weighting method be by each sub-goal in multi-objective optimization question in the way of linear combination by multiple target
Optimization is converted into single overall goal and then optimizes solution.Weight coefficient is by artificially according to the weight of each specific item scalar functions
Degree is wanted to be allocated.It can be seen that, this algorithm in engineering practice significantly with subjectivity, it is necessary to be continually improved.
In the selection of optimized algorithm, the optimized algorithm that majority research is chosen includes random trial method, SUMT interior point method
With the direct or indirect optimized algorithm such as exterior point penalty function method, Sequential Quadratic Programming method and Local Search, simulated annealing, heredity calculation
The intelligent optimization algorithm such as method and artificial neural network optimized algorithm.Optimized algorithm is by the simulation to natural phenomena, so that abstract
Go out to meet the mathematical modeling of certain rule, important technical method is provided for the complicated engineering practice of solution, but its is random
The property of search determines the slow defect of its calculating speed.
The content of the invention
Overcome the processing of traditional multi-objective Model processing method excessively subjectivity it is an object of the invention to provide a kind of
Pattern, is different from the MIXED INTEGER nonlinear mathematics programming method of the computational complexity of random intelligent optimizing algorithm, for tool again
Have by when hot and cold (steam, hot water), electric load temporal model region carry out distributing-supplying-energy system design, according to region it is comprehensive
The composition that energy resource system overall planning target drafts system energy output technology is closed, optimizes the number of units of power plant, configures power plant
Rated capacity, and the running status feedback exported by model optimization has to the building enclosure of region existing building
Transformation clearly according to property.The present invention considers economic benefit, energy-saving benefit and the environmental benefit of ENERGY PLANNING simultaneously, utilizes entropy
The artificial given weight values of power method substitution tradition mitigate the influence of human factor as multiple target weighted value computational methods, utilize
Universal algebra modeling software GAMS realizes the CCHP cool and thermal power polygenerations systemes for reasonably, exactly, rapidly finding optimal solution
Design and running optimizatin.
Concrete scheme is as follows：Area distribution formula cool and thermal power polygenerations systeme MIXED INTEGER nonlinear model optimization method, bag
Include following steps：
S1, set up that typical day sequential in subject area in Various Seasonal is hot and cold and electric load model；
S2, the Load results data according to load model, chosen respectively in CCHP systems energy production technical equipment and
Energy storage technologies equipment, builds CCHP system capacities production transfer process, and carry out mathematics to the technical equipment of all selections
Modeling；
S3, the conservation of energy constraints for building CCHP system operations and technical feasibility boundary condition, structure can be sought
Excellent computational space, reduces algorithm Search Range and improves calculating speed and accuracy；
S4, analysis determine economy, environment and the energy-saving benefit run for the CCHP co-feeding systems of subject area, build
The multiple objective function combination of CCHP system optimized operations, and entropy assessment is taken according to each index in multiple target to the weight of multiple target
The size calculation optimization objective weight of variability, is converted into simple target function by multiple objective function weighting and optimizes.
Further, the hot and cold load mould of typical day sequential in Various Seasonal in subject area is set up in the step S1
The mode of type is the hot and cold load of building enclosure that subject area Demand-side existing building is calculated by mathematical modeling, the mathematics
The mathematical modeling of the hot and cold carry calculation of building enclosure of model object regional demand side existing building is：
Wherein, subscript t represents run time respectively；E represents architectural exterior-protecting construction, EnergyRequirementtRepresent t
Moment by when cooling and heating load；Area represents each building enclosure e area, and U represents each building enclosure e heat transfer coefficient, CVRepresent
Ventilation coefficient, TinFor indoor design temperature,For outdoor instant time temperature.
Further, energy production technical equipment is gas turbine, photovoltaic power generation plate, wind-power electricity generation in the step S2
Energy in machine, lithium-bromide absorption-type refrigerating machine, earth source heat pump, fuel boiler and electric refrigeration air-conditioner, energy production transfer process
Transmission equipment is heat exchanger, and energy storage technologies equipment is battery.
Further, the gas turbine uses mathematical modeling as follows：
I in formulaGT,tFuel gross energy, C are inputted for telWith CthElectric rating and thermal power rating, T are represented respectively
For run time, NSPyTo run the number in time, PGT,tWith QGT,tT generator output and discharge flue gas are represented respectively
Using calorific value, k is that system cuts out coefficient, PGT-maxRepresent generator EIAJ, COPel,tWith COPth,tT is represented respectively
The real-time electrical efficiency and the thermal efficiency of gas turbine, fel,tWith fth,tRepresent electric loading rate, heat load rate respectively, a, b, c, d is respectively
Correspondence parameter.
Further, the photovoltaic power generation plate uses mathematical modeling as follows：
EPV,t=Wt×NSPPV,y×S×COP
E in formulaPV,tRepresent t photovoltaic panel electricity production, WtFor the irradiation intensity of t subject area, NSPPV,yFor operation
Time photovoltaic panel builds number, and S represents the selected area for working as a photovoltaic panel, and COP is operational efficiency COP.
Further, the wind-driven generator uses mathematical modeling as follows：
In formula, Ewi,tExerted oneself for t blower fan, vtFor t ambient wind velocity, vin、vrated、voutCorrespondence wind is represented respectively
Incision wind speed, rated wind speed, the cut-out wind speed of machine, CWIFor remember fortune when the moment peak power namely cut out power, a1、a2、
a3、a4Its performance parameter is represented respectively.
Further, the lithium-bromide absorption-type refrigerating machine, earth source heat pump take the modeling of on-fixed Energy Efficiency Ratio, using such as
Lower shown mathematical modeling：
In formula, the type of subscript te presentation technologies represents lithium-bromide absorption-type refrigerating machine, earth source heat pump；Ite,tFor te skills
Art t inputs gross energy, CteTe technological ratings operation power is represented, T is run time, NSPte,yFor building for operation time
Te technical equipment number, Pte,tRepresent te technologies t output gross energy；COPte,tRepresent the operation effect of te technology ts
Rate, the load factor f that it runs with tte,tIt is relevant, a3,b3,c3,d3Respectively correspond to parameter.
Further, it is described to be inputted and fixed Energy Efficiency Ratio using technology for fuel boiler, electric refrigeration air-conditioner, heat exchanger
Product be equal to the mathematical modeling exerted oneself of technology.
Further, the modeling of the battery, using mathematical modeling as follows：
In formula, subscript t represents run time, Et、Et+1Current time and the storing up electricity of subsequent time battery are represented respectively
Amount, Et,in、Et,outRepresent the charge volume and discharge capacity at current time, Erated_maxThe specified maximum capacitance of battery pack is represented,
ηlossRepresent the loss coefficient of battery, χin、χoutIt is binary number herein.
Further, the conservation of energy constraints that cogeneration cooling heating system is run in the step S3 includes electric energy balance
Constraint, thermal energy balance constraint and cold energy Constraints of Equilibrium, the boundary condition of technical feasibility are constrained including plant capacity.
Further, multiple objective function weighting is converted into simple target function in the step S4 to optimize, changed
Object function mathematical modeling afterwards is：
Min (max) z=min (max) (w1z1+w2z2+w3z3)
In formula, w1, w2, w3What is represented is the weight distribution factor of a benefits evaluation index, using entropy assessment according to each index
Degree of variation carry out objective assignment, energy-saving benefit z1Evaluation index be the total energy efficiency of CCHP co-generation systems, economy effect
Beneficial z2Evaluation index be total operating cost, environmental benefit z3Evaluation index for the gas such as carbon dioxide, sulfur dioxide discharge
Total amount and point production system SP difference, the expression of every performance indicator are as follows：
In formula, Qh,t、Qc,t、Ee,tThe system total heat energy of expression t, cold energy, electric energy output, F respectivelyGT,t、FWIN,t、
FPV,t、FGSHP,t、FBOIL,tRepresent that the total fuel value input of t system gas turbine, total wind energy input, total solar energy are defeated respectively
Enter, earth source heat pump always consumes energy, the total fuel value input of donkey boiler；Ebuy,t、EWIN,t、EPV,t、FGT,t、FBOIL,tRepresent respectively total
Buy electricity, the total electricity production of wind-powered electricity generation subsystem, the total electricity production of photovoltaic subsystem, the total air consumption of gas turbine, the total gas consumption of donkey boiler
Amount；pe,buy、pe,WIN、pe,PV、pNG,tRepresent that power network buys electricity price, wind-powered electricity generation online price, photovoltaic generation online price, combustion gas valency respectively
Lattice.
Area distribution formula cool and thermal power polygenerations systeme MIXED INTEGER nonlinear model optimization method proposed by the present invention, not only
The technology composition and technical parameter of system are devised according to sequential part throttle characteristics, there is provided the production run of co-generation system
Scape, real-time and accurately simulative optimization go out comprehensive benefit consider it is lower production the complete period in CCHP co-generation systems running status hourly
And operational factor, provided for area distribution formula cool and thermal power polygenerations systeme design and optimization while having economy, environmental protection concurrently
Property, the rational solution of energy saving.
The advantage that the present invention is different from other distributed polygenerations systeme optimization methods is in good effect：
Traditional optimization method is all based on calculating valuation load or actual measurement load as the balance pair of co-generation system
As, it is impossible to the transformation of production complete period inner region internal maintenance structure is taken into account, load has unicity and consistency, easily caused
It is unbalance on time dimension.The present invention considers region and builds influence of the different building enclosures to cooling and heating load, by building enclosure
Area is included in system as a variable relevant with the time and optimized, and is tieed up while Building Cooling load is accurately calculated
System output and the equilibrium relation of real-time variable load are protected, and the area of the original each enclosed structure in region is optimized changed
Make, reduction architectural exterior-protecting construction thermic load and fresh air thermic load improve economy, the energy-saving and environmental protection benefit of system from Demand-side.
The present invention intactly considers each time of running technology and exerted oneself and skill for building for technical equipment mathematical modeling
Relation between art production performance and influence of the newly-built number of units of equipment to system in the production cycle, take MIXED INTEGER non-thread
Property model calculate production the complete period in each technical equipment in real time go out force data, reasonably and accurately realize the cold and hot Electricity Federation in region
Produce the purpose of system optimized operation optimizing
Entropy assessment is taken to carry out objective selection in the weighted value determination of present invention sub-goal each in multiple objective function,
The excessive individual for relying on policymaker of the processing method needs of traditional multiple objective function sub-goal weight is evaded to a certain extent
The drawbacks of experience and academic aptitude.Assignment data is rationally effective, and scientific in principle, simplicity is easily achieved.
Brief description of the drawings
Fig. 1 is that the present invention is directed to the design system flow chart that the region with comprehensive energy demand is proposed；
Fig. 2 is the spring day heat load by time balance chart of the present invention；
Fig. 3 is the summer day heat load by time balance chart of the present invention；
Fig. 4 is the autumn day heat load by time balance chart of the present invention；
Fig. 5 is the winter day heat load by time balance chart of the present invention；
Fig. 6 be the present invention spring day by when electric load balance chart；
Fig. 7 be the present invention summer day by when electric load balance chart；
Fig. 8 be the present invention autumn day by when electric load balance chart；
Fig. 9 be the present invention winter day by when electric load balance chart；
Figure 10 is the summer day hourly cooling load balance chart of the present invention；
Figure 11 is the autumn day hourly cooling load balance chart of the present invention.
Embodiment
To further illustrate each embodiment, the present invention is provided with accompanying drawing.These accompanying drawings are the invention discloses the one of content
Point, it is mainly to illustrate embodiment, and can coordinate the associated description of specification to explain the operation principles of embodiment.Coordinate ginseng
These contents are examined, those of ordinary skill in the art will be understood that other possible embodiments and advantages of the present invention.Now tie
Closing the drawings and specific embodiments, the present invention is further described.
The area distribution formula cool and thermal power polygenerations systeme MIXED INTEGER nonlinear model optimization method of the present embodiment, for area
Domain load characteristic carries out distributing-supplying-energy system design and optimization, and guidance is provided for regional complex energy resource system overall planning, leads to
The running status feedback for crossing model optimization output is carried out with the transformation clearly according to property to the building enclosure of region existing building,
Reduce system balancing object load level.First, the typical day sequential load model in Various Seasonal in subject area is set up.So
Afterwards, energy production technical equipment, energy storage technologies equipment are chosen, system capacity production transfer process is built, to all technologies
Equipment modeling.Secondly, the boundary condition of the conservation of energy constraints of given system operation and technical feasibility.Finally, build
The multiple objective function combination of CCHP system optimized operations, based on the object function moving model obtain optimal design and
System running policy.
The present embodiment is comprised the following steps that：
Step one：Typical day sequential hot and cold (steam, hot water), the electric load model of Various Seasonal in example region are set up,
There is provided by when actual load data as CCHP systems balanced objects.This example chooses the first described load data and obtains way
Footpath, the analysis subject area energy sources distribution management chief of ship branch phase, to the monitoring record data of hot and cold power consumption energy data, obtains different
Season typical case day by when hot and cold, electric load curve, as shown in Figures 2 to 11, respectively the day of Various Seasonal by when hot and cold, electricity
Load curve, takes second of load data acquiring way, by region groups of building cool and thermal power load forecasting method, builds
Following mathematical modeling calculates the hot and cold load of building enclosure of subject area Demand-side existing building：
The carry calculation formula is made up of building enclosure thermic load with fresh air thermic load.Wherein, subscript t represents operation respectively
Time；E represents architectural exterior-protecting construction, mainly there is door, window, roofing, floor, exterior wall.The equation left side represent each season by when it is cold and hot
Load；Area represents each building enclosure e area (Area numerical value is variable, represents newly-increased construction area), and U represents each building enclosure
E heat transfer coefficient, CVRepresent that ventilation coefficient (can be obtained according to object space position arrangement, direction etc. is built in region with simulation means
), TinFor indoor design temperature, Tt outFor outdoor instant time temperature.
Step 2：According to above-mentioned load prediction result data, the combustion of supply side power-supply device is chosen respectively in CCHP systems
Gas-turbine, renewable generating equipment photovoltaic power generation plate, wind-driven generator choose lithium bromide absorption as energy production technical equipment
Formula refrigeration machine, fuel boiler, electric refrigeration air-conditioner and heat exchanger are chosen (battery model) as hot and cold additional feed equipment
As energy storage device, build CCHP system capacities and produce transfer process as shown in figure 1, and to the technical equipment of all selections
Modeling.
Following mathematical modeling is built for the gas turbine：
Wherein, IGT,tFuel gross energy, C are inputted for telWith CthElectric rating and thermal power rating, T are represented respectively
For run time, NSPyTo run the number in time, PGT,tWith QGT,tT generator output and discharge flue gas are represented respectively
Using calorific value, k is that system cuts out coefficient, PGT-maxRepresent generator EIAJ.COPel,tWith COPth,tT is represented respectively
The real-time electrical efficiency and the thermal efficiency of gas turbine, the electric loading rate f that they run with t respectivelyel,tAnd heat load rate fth,t
It is relevant, a, b, c, d is respectively correspondence parameter.
The photovoltaic generation is not influenceed with wind-power electricity generation by load factor, and the expression formula of its mathematical modeling is：
EPV,t=Wt×NSPPV,y×S×COP
E in formulaPV,tRepresent t photovoltaic panel electricity production, WtFor the irradiation intensity of t subject area, NSPPV,yFor operation
Time photovoltaic panel builds number, and S represents the area of selected single photovoltaic power generation plate, it should be noted that photovoltaic generation not by
The influence of load factor, operational efficiency COP is approximately constant here.
The mathematical modeling of renewable wind-power electricity generation refers to performance curve (this reality of dispatching from the factory of different type selecting wind-driven generators above
Example chooses model).Ewi,tExerted oneself for t blower fan, vtFor t ambient wind velocity, vin、vrated、voutCorrespondence blower fan is represented respectively
Incision wind speed, rated wind speed, cut-out wind speed, CWIFor remember fortune when the moment peak power namely cut out power, a1、a2、a3、
a4Its performance parameter is represented respectively.
For hot and cold additional feed equipment, here to by the big lithium-bromide absorption-type refrigerating machine of fractional load performance impact,
Earth source heat pump takes the modeling of on-fixed Energy Efficiency Ratio：
The type of the subscript te presentation technologies of model above, can be to represent lithium-bromide absorption-type refrigerating machine, Di Yuan here
Heat pump；Ite,tGross energy, C are inputted for te technologies tteTe technological ratings operation power is represented, T is run time, NSPte,y
For the number for the te technical equipment built for running the time, Pte,tRepresent te technologies t output gross energy；COPte,tRepresent te
The operational efficiency of technology t, the load factor f that it runs with tte,tIt is relevant, a3,b3,c3,d3Respectively correspond to parameter.
Efficiency is influenceed less fuel boiler, electric refrigeration air-conditioner and heat exchanger approximately to use input energy by load factor
Multiply the mathematical modeling for being equal to output in performance efficiency coefficient：
In formula, the type of te presentation technologies can be to represent fuel boiler, electric refrigeration air-conditioner and heat exchanger here,
COPteRepresent the Approximate Equivalent Energy Efficiency Ratio of te technologies, Q_outte,t、Q_inte,tRepresent that te technologies are defeated in the energy of t respectively
Enter and energy output, NSPte,yRepresent the technical equipment input number of units in te technology y times, Pte-maxFor the maximum defeated of te technologies
Go out power, T represents the run time of t.
The energy storage technologies equipment of the present embodiment is using simplified batteries to store energy model, the number of battery running status
Model describes expression formula and is：
Wherein, subscript t represents run time, Et、Et+1Current time and the storing up electricity of subsequent time battery are represented respectively
Amount, Et,in、Et,outRepresent the charge volume and discharge capacity at current time, Erated_maxThe specified maximum capacitance of battery pack is represented,
ηlossRepresent the loss coefficient of battery, χin、χoutIt is binary number herein, in order to evade the contradiction of charge and discharge simultaneously.
Step 3, sets up the conservation of energy constraints of CCHP system operations and the boundary condition of technical feasibility, energy
Conservation constraints condition includes the electric energy balance constraint, thermal energy balance constraint and cold balancing constraint of system operation t.Technology
Feasible boundary condition includes the maximum capacity border of technology, cuts out capacity border.
Step 4, analysis is taken for the economy of the CCHP co-feeding systems operation of different subject areas, environment, energy-saving benefit
The multiple objective function combination of CCHP system optimized operations is built, and takes the weight of multiple target entropy assessment according to respectively referring in multiple target
The size of mark variability carrys out calculation optimization objective weight, and multiple objective function weighting is converted into simple target function optimizes,
It is implemented as follows：
Min (max) z=min (max) (w1z1+w2z2+w3z3)
Wherein, w1, w2, w3What is represented is the weight distribution factor of benefits evaluation index, this patent using entropy assessment according to
The degree of variation of each index carries out objective assignment.The calculation process of entropy assessment can be divided mainly into：
The first step, raw data matrix is set.4 projects to be evaluated of selected CCHP co-generation systems, 3 evaluation indexes, meter
The evaluation of estimate in disparity items under each index is calculated, matrix is as follows：
Second step, seeks the comentropy of an index.
pijRefer to the proportion of the desired value of i-th of project under j-th of index
3rd step, calculates the entropy weight w of j-th of indexj。
Wherein, energy-saving benefit z1Evaluation index be the total energy efficiency ER of CCHP co-generation systems；Economic benefit z2Evaluation
Index be fuel cost in the cycle of operation, with power network merchandise buy the electricity charge use and sell the electricity charge and difference；Environmental benefit
z3Evaluation index be the total emission volumn of the gases such as carbon dioxide, sulfur dioxide and conventional reference energy supplying system SP difference；Respectively
The expression of item performance indicator is as follows：
In above-mentioned expression formula, Qh,t、Qc,t、Ee,tThe system total heat energy of expression t, cold energy, electric energy output, F respectivelyGT,t、
FWIN,t、FPV,t、FGSHP,t、FBOIL,tT system gas turbine total fuel value input, total wind energy input, always too are represented respectively
Sun can be inputted, earth source heat pump always consumes energy, the total fuel value input of donkey boiler；Ebuy,t、EWIN,t、EPV,t、FGT,t、FBOIL,tRespectively
Electricity, the total electricity production of wind-powered electricity generation subsystem, the total electricity production of photovoltaic subsystem, the total air consumption of gas turbine, donkey boiler are always bought in expression
Total air consumption；pe,buy、pe,WIN、pe,PV、pNG,tRespectively represent power network buy electricity price, wind-powered electricity generation online price, photovoltaic generation online price,
Gas price.
Above-mentioned MIXED INTEGER nonlinear model is finally in general mathematical modeling software GAMS (The General
Algebraic Modeling System) platform building and use its built-in lindo solvers optimization operation.
Although specifically showing and describing the present invention with reference to preferred embodiment, those skilled in the art should be bright
In vain, do not departing from the spirit and scope of the present invention that appended claims are limited, in the form and details can be right
The present invention makes a variety of changes, and is protection scope of the present invention.
Claims (11)
1. area distribution formula cool and thermal power polygenerations systeme MIXED INTEGER nonlinear model optimization method, it is characterised in that including with
Lower step：
S1, set up that typical day sequential in subject area in Various Seasonal is hot and cold and electric load model；
S2, the Load results data according to load model, choose energy production technical equipment and energy respectively in CCHP systems
Memory technology equipment, builds CCHP system capacities production transfer process, and carry out mathematical modeling to the technical equipment of all selections；
S3, the conservation of energy constraints for building CCHP system operations and technical feasibility boundary condition, structure can optimizing fortune
Space is calculated, algorithm Search Range is reduced and improves calculating speed and accuracy；
S4, analysis determine economy, environment and the energy-saving benefit run for the CCHP co-feeding systems of subject area, build CCHP systems
The multiple objective function combination of system optimization operation, and entropy assessment is taken according to each index variability in multiple target to the weight of multiple target
Size calculation optimization objective weight, multiple objective function weighting is converted into simple target function and optimized.
2. area distribution formula cool and thermal power polygenerations systeme MIXED INTEGER nonlinear model optimization side according to claim 1
Method, it is characterised in that the typical hot and cold load model of day sequential in subject area in Various Seasonal is set up in the step S1
Mode is the hot and cold load of building enclosure that subject area Demand-side existing building is calculated by mathematical modeling, the mathematical modeling
The mathematical modeling of the hot and cold carry calculation of building enclosure of subject area Demand-side existing building is：
Wherein, subscript t represents run time respectively；E represents architectural exterior-protecting construction, EnergyRequirementtRepresent t by
When cooling and heating load；Area represents each building enclosure e area, and U represents each architectural exterior-protecting construction e heat transfer coefficient, CVRepresent logical
Wind coefficient, TinFor indoor design temperature,For outdoor instant time temperature.
3. area distribution formula cool and thermal power polygenerations systeme MIXED INTEGER nonlinear model optimization side according to claim 1
Method, it is characterised in that energy production technical equipment is gas turbine, photovoltaic power generation plate, wind-driven generator, bromine in the step S2
The energy transmission changed in lithium-absorbing formula refrigeration machine, earth source heat pump, fuel boiler and electric refrigeration air-conditioner, energy production transfer process is set
Standby is heat exchanger, and energy storage technologies equipment is battery.
4. area distribution formula cool and thermal power polygenerations systeme MIXED INTEGER nonlinear model optimization side according to claim 3
Method, it is characterised in that the gas turbine uses mathematical modeling as follows：
I in formulaGT,tFuel gross energy, C are inputted for telWith CthElectric rating and thermal power rating are represented respectively, and T is fortune
Row time, NSPyTo run the number in time, PGT,tWith QGT,tRepresent that t generator output and discharge flue gas can profits respectively
With calorific value, k is that system cuts out coefficient, PGT-maxRepresent generator EIAJ, COPel,tWith COPth,tT combustion gas is represented respectively
The real-time electrical efficiency and the thermal efficiency of turbine, fel,tWith fth,tRepresent electric loading rate, heat load rate respectively, a, b, c, d is respectively correspondence
Parameter.
5. area distribution formula cool and thermal power polygenerations systeme MIXED INTEGER nonlinear model optimization side according to claim 3
Method, it is characterised in that the photovoltaic power generation plate uses mathematical modeling as follows：
EPV,t=Wt×NSPPV,y×S×COP
E in formulaPV,tRepresent t photovoltaic panel electricity production, WtFor the irradiation intensity of t subject area, NSPPV,yFor the operation time
Photovoltaic panel builds number, and S represents the selected area for working as a photovoltaic panel, and COP is operational efficiency COP.
6. area distribution formula cool and thermal power polygenerations systeme MIXED INTEGER nonlinear model optimization side according to claim 3
Method, it is characterised in that the wind-driven generator uses mathematical modeling as follows：
In formula, Ewi,tExerted oneself for t blower fan, vtFor t ambient wind velocity, vin、vrated、voutCorrespondence blower fan is represented respectively
Cut wind speed, rated wind speed, cut-out wind speed, CWIFor remember fortune when the moment peak power namely cut out power, a1、a2、a3、a4
Its performance parameter is represented respectively.
7. area distribution formula cool and thermal power polygenerations systeme MIXED INTEGER nonlinear model optimization side according to claim 3
Method, it is characterised in that the lithium-bromide absorption-type refrigerating machine, earth source heat pump take the modeling of on-fixed Energy Efficiency Ratio, using as follows
Shown mathematical modeling：
In formula, the type of subscript te presentation technologies represents lithium-bromide absorption-type refrigerating machine, earth source heat pump；Ite,tDuring for te technology t
Carve input gross energy, CteTe technological ratings operation power is represented, T is run time, NSPte,yTo run the te built in time
The number of technical equipment, Pte,tRepresent te technologies t output gross energy；COPte,tThe operational efficiency of te technology ts is represented,
The load factor f that it runs with tte,tIt is relevant, a3,b3,c3,d3Respectively correspond to parameter.
8. area distribution formula cool and thermal power polygenerations systeme MIXED INTEGER nonlinear model optimization side according to claim 3
Method, it is characterised in that described to be inputted and fixed Energy Efficiency Ratio using technology for fuel boiler, electric refrigeration air-conditioner, heat exchanger
Product is equal to the mathematical modeling that technology is exerted oneself.
9. area distribution formula cool and thermal power polygenerations systeme MIXED INTEGER nonlinear model optimization side according to claim 3
Method, it is characterised in that the modeling of the battery, using mathematical modeling as follows：
In formula, subscript t represents run time, Et、Et+1Current time and the reserve of electricity of subsequent time battery are represented respectively,
Et,in、Et,outRepresent the charge volume and discharge capacity at current time, Erated_maxRepresent the specified maximum capacitance of battery pack, ηloss
Represent the loss coefficient of battery, χin、χoutIt is binary number herein.
10. area distribution formula cool and thermal power polygenerations systeme MIXED INTEGER nonlinear model optimization side according to claim 1
Method, it is characterised in that the conservation of energy constraints that cogeneration cooling heating system is run in the step S3 includes electric energy balance about
Beam, thermal energy balance constraint and cold energy Constraints of Equilibrium, the boundary condition of technical feasibility are constrained including plant capacity.
11. area distribution formula cool and thermal power polygenerations systeme MIXED INTEGER nonlinear model optimization side according to claim 1
Method, it is characterised in that multiple objective function weighting is converted into simple target function in the step S4 and optimized, after conversion
Object function mathematical modeling is：
Min (max) z=min (max) (w1z1+w2z2+w3z3)
In formula, w1, w2, w3What is represented is the weight distribution factor of a benefits evaluation index, using change of the entropy assessment according to each index
DRS degree carries out objective assignment, energy-saving benefit z1Evaluation index be the total energy efficiency of CCHP co-generation systems, economic benefit z2's
Evaluation index is total operating cost, environmental benefit z3Evaluation index for the gas such as carbon dioxide, sulfur dioxide total emission volumn
Difference with dividing production system SP, the expression of every performance indicator is as follows：
In formula, Qh,t、Qc,t、Ee,tThe system total heat energy of expression t, cold energy, electric energy output, F respectivelyGT,t、FWIN,t、FPV,t、
FGSHP,t、FBOIL,tRepresent respectively t system gas turbine total fuel value input, total wind energy input, total solar energy input,
Source heat pump always consumes energy, the total fuel value input of donkey boiler；Ebuy,t、EWIN,t、EPV,t、FGT,t、FBOIL,tRepresent always to buy electricity respectively
Amount, the total electricity production of wind-powered electricity generation subsystem, the total electricity production of photovoltaic subsystem, the total air consumption of gas turbine, the total air consumption of donkey boiler；
pe,buy、pe,WIN、pe,PV、pNG,tRepresent that power network buys electricity price, wind-powered electricity generation online price, photovoltaic generation online price, gas price respectively.
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