CN109784573A - A kind of energy internet Multipurpose Optimal Method and device - Google Patents
A kind of energy internet Multipurpose Optimal Method and device Download PDFInfo
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Abstract
The invention discloses a kind of energy internet Multipurpose Optimal Method, device, equipment and computer readable storage mediums, wherein, this method comprises: establishing characterization energy network optimal route selection ability and characterizing the comprehensive assessment index system of energy network interoperability；Actual evaluation parameter matrix is obtained according to each evaluation index in comprehensive assessment index system, standardization processing is carried out to actual evaluation parameter matrix, utility function matrix is obtained, decision-making level is optimized using utility function matrix；Each target is coordinated by utility function matrix, system layer objective function is constructed according to utility function matrix and each evaluation index, and system layer is optimized using system layer objective function and optimization algorithm, wherein target includes energy network optimal route selection, energy network interoperability.Above-mentioned technical proposal disclosed in the present application can preferably evaluate energy internet, and can energy internet to actual motion carry out optimization of operation strategy.
Description
Technical field
The present invention relates to energy Internet technical fields, more specifically to a kind of multiple-objection optimization of energy internet
Method, apparatus, equipment and computer readable storage medium.
Background technique
Energy internet is appreciated that it is the advanced power electronic technique of integrated use, information technology and intelligent management technology,
Will the novel electric power net constituted largely be loaded by distributed energy acquisition device, distributed energy storage device and various types
The energy source node interconnection such as network, petroleum network, natural gas network is got up, to realize the energy peer switch of energy in bidirectional flow together
Enjoy network.
Currently, energy internet appraisement system focuses mainly on Thermal generation unit, jet dynamic control, combustion gas trilogy supply
The traditional fossil energies such as unit, and it is based primarily upon the first law of thermodynamics and the second law of thermodynamics is evaluated, evaluation refers to
Mark is mostly " efficiency index ", does not set up assessment indicator system to the energy internet comprising renewable energy, it is difficult to from more
Angle overall merit energy internet, and running optimizatin is not carried out to the energy internet of actual motion, therefore, then not
Planning construction and operation convenient for energy internet.
Described in synthesis, energy internet how is preferably evaluated, and operation plan is carried out to the energy internet of actual motion
Slightly optimize, is current those skilled in the art technical problem urgently to be resolved.
Summary of the invention
In view of this, the object of the present invention is to provide a kind of energy internet Multipurpose Optimal Method, device, equipment and meters
Calculation machine readable storage medium storing program for executing preferably to evaluate energy internet, and carries out operation reserve to the energy internet of actual motion
Optimization.
To achieve the goals above, the invention provides the following technical scheme:
A kind of energy internet Multipurpose Optimal Method, comprising:
It establishes characterization energy network optimal route selection ability and characterizes the comprehensive assessment index of energy network interoperability
System；
Actual evaluation parameter matrix is obtained according to each evaluation index in the comprehensive assessment index system, to the reality
Evaluation parameter matrix carries out standardization processing, obtains utility function matrix, is carried out using the utility function matrix to decision-making level
Optimization；
Each target is coordinated by the utility function matrix, according to the utility function matrix and each assessment
Index constructs system layer objective function, and is optimized using the system layer objective function and optimization algorithm to system layer,
In, the target includes energy network optimal route selection, energy network interoperability.
Preferably, the evaluation index in the comprehensive assessment index system includes characterization energy network optimal route selection energy
The evaluation index of power and the evaluation index of characterization energy network interoperability, in which:
The evaluation index for characterizing energy network optimal route selection ability includes comprehensive utilization of energy rate, non-regeneration energy
Accounting, renewable energy consumption rate,Efficiency, carbon emission rate, economic well-being of workers and staff, cost of investment, the energy network proportion of goods damageds, the energy
Network number of working hours based on maximum load；
The evaluation index of characterization energy network interoperability includes energy network serious forgiveness, the communication network bit error rate, heat hair
Electrical power accounting, electric heats power accounting, electric heating capacity accounting, hot generated energy accounting.
Preferably, actual evaluation parameter matrix is obtained according to each evaluation index in the comprehensive assessment index system, it is right
The actual evaluation parameter matrix carries out standardization processing, obtains utility function matrix, comprising:
The weight coefficient X of h first order index is determined using AHP- entropy assessmenth, the first order index is energy network
Optimal route selection ability, energy network interoperability；
Subjective weight x of the j second level index relative to the first order index is calculated using AHPhj':The actual evaluation parameter matrix is constructed, and to xhj' be normalized
Processing:Wherein, comprehensive utilization of energy rate, non-regeneration energy accounting, renewable energy consumption rate, economic receipts
Benefit, energy network number of working hours based on maximum load, energy network serious forgiveness, hot generated output accounting, electric heats power accounting, electricity
Heating capacity accounting, hot generated energy accounting are positive index,Efficiency, cost of investment, the energy network proportion of goods damageds, is led at carbon emission rate
The communication network bit error rate is negative sense index；
Weight coefficient X based on first order indexhAnd the obtained x of normalizedhj, establish the utility function square
Battle array: ghj(x)=Xh×xhj。
Preferably, after constructing the actual evaluation parameter matrix, further includes:
Consistency check is carried out to the actual evaluation parameter matrix to rebuild and actually comment if not meeting consistency
Valence parameter matrix.
Preferably, the system layer objective function according to constructed by the utility function matrix and each evaluation index are as follows:
Wherein, fjIt (x) is respectively that characterization energy network is optimal
Calculation formula corresponding to each evaluation index of path selection capability and each evaluation index institute for characterizing energy network interoperability
Corresponding calculation formula.
Preferably, the system layer bound for objective function includes electric equilibrium constraint, thermal balance constrains, cold-smoothing weighs about
Beam, power constraint, capacity-constrained.
Preferably, system layer is optimized using the system layer objective function and optimization algorithm, comprising:
Building is by photovoltaic generation power, wind-power electricity generation power, combustion gas trilogy supply unit generation power, combustion gas trilogy supply unit
Cooling supply power, combustion gas trilogy supply unit heating power, biomass power generation unit generation power, gas fired-boiler heating power, outsourcing
The 11 dimension single-particle P=[P that 11 electrical power, Chu Leng, heat accumulation, storage power scheduling variables form1…P11], PiBecome for scheduling
Amount, i=1,2 ... 11；
In optimizing, each optimizing updates the wherein one-dimensional of the single-particle P, and the single-particle P is substituted into the system
In system layer objective function F (x)；
The quality for comparing the single-particle P before and after kth time optimizing makes the if the quality of the single-particle P gets a promotion
The erection rate of k+1 optimizingEqual to the erection rate of kth time optimizingIf the quality of the single-particle P is not
It gets a promotion, then using modifying factor to erection rateIt is modified, wherein the optimization increment of i-th of scheduling variable
ΔPi k+1By erection rateRandom velocityComposition, k=1,2 ... M-1, M are regulation optimizing number；
After optimizing number reaches the regulation optimizing number, the single-particle P converges on the system layer objective function
Globally optimal solution, realize optimization to the system layer.
A kind of energy internet multiple-objection optimization device, comprising:
Module is established, is used for: establishing characterization energy network optimal route selection ability and characterization energy network interoperability
Comprehensive assessment index system；
First optimization module, is used for: according to each index selection actual evaluation parameter in the comprehensive assessment index system
Matrix carries out standardization processing to the actual evaluation parameter matrix, obtains utility function matrix, utilize the utility function square
Battle array optimizes decision-making level；
Second optimization module, is used for: being coordinated to each target by the utility function matrix, according to the effectiveness letter
Matrix number and each evaluation index construct system layer objective function, and utilize the system layer objective function and optimization algorithm pair
System layer optimizes, wherein the target includes energy network optimal route selection, energy network interoperability.
A kind of energy internet multiple-objection optimization equipment, comprising:
Memory, for storing computer program；
Processor realizes energy internet as described in any one of the above embodiments multiple target when for executing the computer program
The step of optimization method.
A kind of computer readable storage medium is stored with computer program on the computer readable storage medium, described
The step of energy internet Multipurpose Optimal Method as described in any one of the above embodiments is realized when computer program is executed by processor.
The present invention provides a kind of energy internet Multipurpose Optimal Method, device, equipment and computer-readable storage mediums
Matter, wherein this method comprises: establishing characterization energy network optimal route selection ability and characterizing the comprehensive of energy network interoperability
Close evaluation index system；Actual evaluation parameter matrix is obtained according to each evaluation index in comprehensive assessment index system, to reality
Evaluation parameter matrix carries out standardization processing, obtains utility function matrix, is optimized using utility function matrix to decision-making level；
Each target is coordinated by utility function matrix, system layer target letter is constructed according to utility function matrix and each evaluation index
Number, and system layer is optimized using system layer objective function and optimization algorithm, wherein target includes the optimal road of energy network
Diameter selection, energy network interoperability.
Above-mentioned technical proposal disclosed in the present application, from energy network optimal route selection ability and energy network interoperability
Two aspect set up comprehensive assessment index system, with using comprehensive assessment index system come mutual to the energy comprising renewable energy
Networking is preferably evaluated, and obtains actual evaluation parameter matrix using comprehensive assessment index system, to actual evaluation parameter
Matrix carries out standardization processing, to obtain utility function matrix, is carried out using acquired utility function matrix to decision-making level
Optimization, and using utility function matrix construct system layer objective function, then, using system layer objective function and optimization algorithm come
System layer is optimized, to realize the optimization of the double-deck multiple target, to realize operation plan to the energy internet of actual motion
Slightly optimize, provides reference frame with the Construction and operation for energy internet.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
The embodiment of invention for those of ordinary skill in the art without creative efforts, can also basis
The attached drawing of offer obtains other attached drawings.
Fig. 1 is a kind of flow chart of energy internet Multipurpose Optimal Method provided in an embodiment of the present invention；
Fig. 2 is energy internet system efficiency transition diagram；
Fig. 3 is a kind of structural schematic diagram of energy internet multiple-objection optimization device provided in an embodiment of the present invention；
Fig. 4 is a kind of structural schematic diagram of energy internet multiple-objection optimization equipment provided in an embodiment of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
Referring to Figure 1, it illustrates a kind of streams of energy internet Multipurpose Optimal Method provided in an embodiment of the present invention
Cheng Tu may include:
S11: establishing characterization energy network optimal route selection ability and characterizes the comprehensive assessment of energy network interoperability
Index system.
Specifically, there are a small-sized energy internet system of i (i is positive integer), including natural gas, the sun in energy internet
A variety of non-renewable energy resources such as energy, wind-powered electricity generation, biomass energy and renewable energy.It mainly include photovoltaic power generation, wind-force inside garden
Power generation, biomass power generation, combustion gas trilogy supply unit, gas fired-boiler, storage hot/cold, electric storage device；Garden external electrical network power purchase is main
Include jet dynamic control, Thermal generation unit.Energy internet garden is mainly that fuel and electric energy exchange with the external world.Specifically may be used
To combine Fig. 2, it illustrates energy internet system efficiency transition diagrams, including heat supply network, cold net and power grid, can satisfy use
The heat demand at family, cold demand and electricity demanding, and refrigeration heat, electricity refrigeration and electricity heating may be implemented in inside.
For including the energy internet of renewable energy, characterization energy network optimal route selection ability and table are established
The comprehensive assessment index system for levying energy network interoperability, i.e., from energy network optimal route selection and energy network intercommunication energy
It had both included characterization energy net in the comprehensive assessment index system establishing comprehensive assessment index system in terms of power two, and being established
The evaluation index of network optimal route selection ability, and include the evaluation index for characterizing energy network interoperability.
Using above-mentioned established comprehensive assessment index system can more preferable, more fully evaluation can source interconnection from many aspects
Net.
S12: actual evaluation parameter matrix is obtained according to each evaluation index in comprehensive assessment index system, to actual evaluation
Parameter matrix carries out standardization processing, obtains utility function matrix, is optimized using utility function matrix to decision-making level.
After having established comprehensive assessment index system, it can respectively be assessed according to included in comprehensive assessment index system
The importance of index obtains actual evaluation parameter matrix.In view of unit of each evaluation index etc. is not no in comprehensive assessment index system
Therefore complete unity, then can advise accessed actual evaluation parameter matrix for the ease of subsequent optimization calculating
Generalized processing, obtains utility function matrix.
Decision-making level is optimized using accessed utility function matrix, with determine the energy using proportion (it is hot, cold,
Electric allocation proportion).
S13: coordinating each target by utility function matrix, is constructed according to utility function matrix and each evaluation index
System layer objective function, and system layer is optimized using system layer objective function and optimization algorithm, wherein target includes energy
Source network optimal route selection, energy network interoperability.
After getting utility function matrix, to energy network optimal route selection and energy network interoperability this two
A target is coordinated by utility function matrix, i.e., utility function matrix consistency inspection is carried out to each target, to guarantee to imitate
With the consistency of Jacobian matrix.
Then, each evaluation index according to included in utility function matrix and comprehensive assessment index system constructs system layer
Objective function, and system layer is optimized using constructed system layer objective function and optimization algorithm, to determine specific benefit
The transmission and utilization of energy are carried out with which type of channel, which type of transmission device.
Above-mentioned technical proposal disclosed in the present application, from energy network optimal route selection ability and energy network interoperability
Two aspect set up comprehensive assessment index system, with using comprehensive assessment index system come mutual to the energy comprising renewable energy
Networking is preferably evaluated, and obtains actual evaluation parameter matrix using comprehensive assessment index system, to actual evaluation parameter
Matrix carries out standardization processing, to obtain utility function matrix, is carried out using acquired utility function matrix to decision-making level
Optimization, and using utility function matrix construct system layer objective function, then, using system layer objective function and optimization algorithm come
System layer is optimized, to realize the optimization of the double-deck multiple target, to realize operation plan to the energy internet of actual motion
Slightly optimize, provides reference frame with the Construction and operation for energy internet.
A kind of energy internet Multipurpose Optimal Method provided in an embodiment of the present invention, commenting in comprehensive assessment index system
Estimating index includes characterizing the assessment of the evaluation index and characterization energy network interoperability of energy network optimal route selection ability
Index, in which:
Characterize energy network optimal route selection ability evaluation index may include comprehensive utilization of energy rate, it is non-renewable
Energy accounting, renewable energy consumption rate,Efficiency, carbon emission rate, economic well-being of workers and staff, cost of investment, the energy network proportion of goods damageds, energy
Source network number of working hours based on maximum load；
Characterization energy network interoperability evaluation index may include energy network serious forgiveness, the communication network bit error rate,
Hot generated output accounting, electric heats power accounting, electric heating capacity accounting, hot generated energy accounting.
In comprehensive assessment index system, evaluation index includes that the assessment of characterization energy network optimal route selection ability refers to
Mark and characterize the evaluation index of energy network interoperability: the evaluation index of characterization energy network optimal route selection ability includes
Comprehensive utilization of energy rate η, non-regeneration energy accounting ξ, renewable energy consumption rate Rre、Efficiency etaex1, carbon emission rate υ, warp
Help income Ctotal, cost of investment Ccost, the energy network proportion of goods damagedsEnergy network number of working hours based on maximum load βd；Characterize energy
The evaluation index of source network interoperability includes energy network serious forgiveness δ1, communication network bit error rate δ2, hot generated output accounting
ξp,qe, electric heats power accounting ξp,eq, electric heating capacity accounting ξe,q, hot generated energy accounting ξe,E。
Wherein, comprehensive utilization of energy rate η is total hot and cold, electricity demanding and fossil energy input quantity ratio, i.e. i garden
District's groups at energy internet comprehensive energy utilization rate.The evaluation index is by external electrical network power purchase ENERGY Egrid,TAccording to its come
Source is subdivided into renewable energy electric energy, fuel gas generation, coal fired power generation by permeability, and by each section according to corresponding unit generation effect
Rate conversion considers the influence of integrated energy system multipotency properties of flow and renewable energy access to Generation Side.
Specifically, comprehensive utilization of energy rateWherein, external electrical network power purchase energyEnergy internet system energy in gardenGarden power supply volume, semen donors and confession
Heat is respectively as follows:
Wherein, Eother,TFor energy internet system energy, P in gardenL,T、CL,T、QL,TPower supply respectively in garden within the T period,
Cooling supply and heating load, unit MJ；P (t), C (t), Q (t) are t moment garden electricity, hot and cold load power, unit kW；pv,
It is solar energy, wind energy, biomass energy, coal, natural gas that wp, b, coal, gas, which respectively indicate energy source,；ξ is that the energy can not be again
Raw coefficient, the ξ of renewable energy are 0, and non-renewable ξ is 1；ν (t) is different non-renewable energy source in the outer power purchase of t moment
Permeability；λ is corresponding efficiency of generating unit；F (t) by consumption unit of fuel Lower heat value, unit MJ；B (t) is corresponding
The consumption of fuel, unit t；Pbuy(t) power grid electric energy power, unit kW are bought for t moment；.
Non-regeneration energy accounting ξ is the ratio that system exports energy and non-rechargeable energy, non-regeneration energy accounting
Higher, energy saving of system is better.Specifically, non-regeneration energy accounting Respectively system electricity, heating, refrigeration
Specific gravity shared by the non-regeneration energies such as middle coal, petroleum, natural gas, Wherein, PgasFor the power of combustion gas trilogy supply unit generation, unit
For kW；Ph,gas1、Ph,gas2、Ph,eRespectively combustion gas trilogy supply unit, gas fired-boiler, the electric heating power heated, unit kW；
Pc,gas1、Pc,gas2、Pc,eRespectively combustion gas trilogy supply unit, gas fired-boiler, the electric refrigeration work consumption heated, unit kW.
Renewable energy consumption rate Rre, which is mainly to make up traditional energy efficiency evaluation index mainly for coal, day
The problem of non-renewable energy resources such as right gas, the energy internet is embodied for renewable energy such as solar energy, biomass energies
Digestion capability.Specifically, renewable energy consumption rate
Efficiency etaex1, the evaluation index is from the value of amount and two aspect overall merit energy of matter.Specifically,Effect
RateWherein, ε1、ε2、ε3Respectively multipotency garden entirety, cooling supply and heat supply
Energy quality character:T0Represent the absolute temperature of environment, unit K, wherein
Energy quality character is the ratio of externally acting attainable maximum value and its included gross energy, can be weighed in practical applications
Measure the height of various energy qualities；T1、T2、T3Respectively heat source or medium absolute temperature, unit K.
Carbon emission rate υ, the evaluation index belong to environmental protection index, mainly characterize the various energy in energy internet such as: day
Right gas, biomass, the carbon emission amount of unit energy caused by outsourcing electric energy, unit t.Specifically, carbon emission rateWherein, αgFor natural gas CO2Emission factor, αbIt is biomass CO2Emission factor, αcoal
It is coal CO2Emission factor.
Economic well-being of workers and staff Ctotal, the difference of each hot and cold, electric income summation and its operating cost under the operation of characterization energy internet
Value.Specifically, carbon emission rateWherein, Pe,sal、
Pcool,sal、Pheat,salRespectively electricity, hot and cold sale price, unit are member/kWh；Pbuy(t) power grid electric energy function is bought for t moment
Rate, unit kW；Pgas、Pb,buyRespectively Gas Prices, biomass fuel price, unit are member/kg；Pe,buyFor power purchase valence
Lattice, unit are member/kWh.
Cost of investment Ccost, total throwing of the integrated energy system of electric energy, thermal energy, cold energy under the operation of characterization energy internet
Money.Specifically, cost of investmentWherein, Pc,pv、
Pc,wp、Pc,b、Pc,gas1、Pc,gas2、Pc,se、Pc,sc、Pc,sh、Pc,td、Pc,hp、Pc,ec、Pc,ehRespectively photovoltaic, wind-powered electricity generation, biomass energy,
Combustion gas trilogy supply, gas fired-boiler, storage, Chu Leng, heat accumulation, power network, heat supply network, electricity refrigeration, the unit price of electric heating equipment,
Member/kW；Wpv、Wwp、Wb、Wgas1、Wgas2、Wse、Wsc、Wsh、Wtd、Whp、Wec、WehRespectively photovoltaic, wind-powered electricity generation, biomass energy, combustion gas
Trilogy supply, gas fired-boiler, storage, Chu Leng, heat accumulation, power network, heat supply network, electricity refrigeration, electric heating equipment capacity, unit is
kW。
The energy network proportion of goods damagedsThe integrated energy system of electric energy, thermal energy, cold energy under the operation of characterization energy internet
The energy source network energy proportion of goods damageds.Specifically, the energy network proportion of goods damageds
Wherein, μe、μc、μhRespectively the electric energy loss coefficient of energy network, cold energy loss factor and heat energy loss coefficient.
Energy network number of working hours based on maximum load βd, characterize the energy source network equipment in energy internet system and utilize
Rate.Specifically, energy network number of working hours based on maximum load Wherein, Pe,max、Pc,max、Ph,maxRespectively the electric energy of energy network, cold energy and thermal energy maximum pass
Defeated power, unit kW；α1、α2、α3The accounting of electric energy, cold energy and thermal energy respectively in energy network.
Energy network serious forgiveness δ1, which comprehensively considers multiple energy storage, heat accumulation, cold-storage system, and respectively heating, system
Electric equipment power capacity limit cold, processed, multi-energy system optimizing scheduling scheme is fault-tolerant and reliability for characterization.Specifically, energy net
Network serious forgivenessWherein, Pc,S(t)、Ph,S(t)、Pe,S(t) divide
Not Wei in the i energy internet system Chu Leng, heat accumulation, electric storage device respective stored power, unit kW.
Communication network bit error rate δ2, communication network transmission reliability in the evaluation index comprehensive characterization integrated energy system.
Specifically, the communication network bit error rateWherein, M is communication network in energy energy internet system
Network transmitted gross yards in T time section, unit kb；m1For communication network within the t period number of bit errors, unit kb.
Hot generated output accounting ξpqe, the evaluation index characterize integrated energy system in heat energy power-generating efficiency.Specifically, hot
Generated output accountingWherein, Ppv,max、Pwp,max、Pb,max、Pgas,maxIt is comprehensive
Close photovoltaic in energy resource system, wind-powered electricity generation, biomass power generation and combustion gas trilogy supply power generation rated power, unit kW.
Electric heats power accounting ξp,eq, electric energy is converted to the efficiency of thermal energy in evaluation index characterization integrated energy system.
Specifically, electric heats power accountingWherein, Phgas1,max、Phgas2,max、Phe,maxFor
The rated power that combustion gas trilogy supply, gas fired-boiler, electricity heat in integrated energy system, unit kW.
Electric heating capacity accounting ξe,q, the evaluation index comprehensively consider multiple combustion gas trilogy supply hot/colds, gas fired-boiler heat supply,
The factors such as heat accumulation, cold-storage system characterize accounting of the electricity heating in total amount of heat.Specifically, electric heating capacity accountingWherein, Ph,eFor t moment electricity heats power.
Hot generated energy accounting ξe,E, the evaluation index comprehensively consider it is multiple it is each heat, freeze, electric equipment power capacity processed limit
System characterizes heat power generation in multi-energy system and accounts for total power generation accounting.Specifically, hot generated energy accounting
9 evaluation indexes and characterization energy network intercommunication using above-mentioned characterization energy network optimal route selection ability
The comprehensive assessment index system that 6 evaluation indexes of ability are established can preferably reflect energy internet system efficiency and
It provides multiple forms of energy to complement each other ability, and energy internet can be evaluated from multi-angle comprehensive.
It is of course also possible to will other in source interconnection net system be able to reflect system effectiveness and energy network conversion and intercommunication
The evaluation index that can be flowed is added in established comprehensive assessment index system.
A kind of energy internet Multipurpose Optimal Method provided in an embodiment of the present invention, according in comprehensive assessment index system
Each evaluation index obtain actual evaluation parameter matrix, to actual evaluation parameter matrix carry out standardization processing, obtain effectiveness letter
Matrix number may include:
The weight coefficient X of h first order index is determined using AHP- entropy assessmenth, first order index is that energy network is optimal
Path selection capability, energy network interoperability；
Subjective weight x of the j second level index relative to first order index is calculated using AHPhj':Actual evaluation parameter matrix is constructed, and to xhj' place is normalized
Reason:Wherein, comprehensive utilization of energy rate, non-regeneration energy accounting, renewable energy consumption rate, economic well-being of workers and staff,
Energy network number of working hours based on maximum load, energy network serious forgiveness, hot generated output accounting, electric heats power accounting, electricity system
Heat accounting, hot generated energy accounting are positive index,Efficiency, carbon emission rate, cost of investment, the energy network proportion of goods damageds, communication
The network bit error rate is negative sense index；
Weight coefficient X based on first order indexhAnd the obtained x of normalizedhj, establish utility function matrix: ghj
(x)=Xh×xhj。
It can be with according to the detailed process that comprehensive assessment index system obtains utility function matrix are as follows:
Step 1: determining h the using AHP (Analytic Hierarchy Process, analytic hierarchy process (AHP))-entropy assessment
The weight coefficient X of each index in first class indexh, wherein first order index specifically include energy network optimal route selection ability,
Energy network interoperability.
Step 2: using each evaluation index in analytic hierarchy process (AHP) j second level index of calculating relative to affiliated first order index
Weight coefficient XhSubjective weight xhj',The second level is obtained with building to refer to
The comparator matrix relative to first order index is marked, namely building obtains actual evaluation parameter matrix.
Wherein, second level index is specially above-mentioned 15 evaluation indexes, i.e. j=15.In this 15 evaluation indexes, the energy
Comprehensive utilization ratio η, non-regeneration energy accounting ξ, renewable energy consumption rate Rre, economic well-being of workers and staff Ctotal, energy network maximum it is negative
Lotus utilizes hourage βd, energy network serious forgiveness δ1, hot generated output accounting ξp,qe, electric heats power accounting ξp,eq, electric heating capacity
Accounting ξe,q, hot generated energy accounting ξe,EFor positive index,Efficiency etaex1, carbon emission rate υ, cost of investment Ccost, energy network damage
Consumption rateCommunication network bit error rate δ2For negative sense index.Work as rhjWhen for positive index,Work as rhjFor
When negative sense index,
Subjective weight x of the second level index relative to first order index is being calculatedhj' later, to xhj' carry out normalizing
Change processing:
Step 3:, can be based on the weight coefficient X of first order index after obtaining each index weights at different levelsh, Yi Jigui
X after one change processinghj, establish utility function matrix: ghj(x)=Xh×xhj。
A kind of energy internet Multipurpose Optimal Method provided in an embodiment of the present invention, in building actual evaluation parameter matrix
Later, can also include:
Consistency check is carried out to actual evaluation parameter matrix, if not meeting consistency, rebuilds actual evaluation ginseng
Matrix number.
After building obtains actual evaluation parameter matrix, consistency check can be carried out to actual evaluation parameter, if institute
The actual evaluation parameter matrix of building is unsatisfactory for consistency, then rebuilds actual evaluation ginseng according to above-mentioned steps 1 and step 2
Number, until acquisition meets the actual evaluation parameter of consistency.
A kind of energy internet Multipurpose Optimal Method provided in an embodiment of the present invention according to utility function matrix and is respectively commented
Estimate system layer objective function constructed by index are as follows:
Wherein, fjIt (x) is respectively that characterization energy network is optimal
Calculation formula corresponding to each evaluation index of path selection capability and each evaluation index institute for characterizing energy network interoperability
Corresponding calculation formula.
Obtaining utility function matrix ghj(x) after, according to utility function matrix ghj(x) and constructed by each evaluation index
System layer objective function specifically:Wherein, fjIt (x) is respectively table
Levy calculation formula corresponding to each evaluation index of energy network optimal route selection ability and characterization energy network interoperability
Each evaluation index corresponding to calculation formula.
Specifically, in above system layer objective function F (x), in j value from 1 to 9, fj(x) corresponding is characterization energy
The calculation formula of 9 evaluation indexes of source network optimal route selection ability；In j value from 10 to 15, fj(x) corresponding to be
Characterize the calculation formula of 6 evaluation indexes of energy network interoperability.
A kind of energy internet Multipurpose Optimal Method provided in an embodiment of the present invention, the constraint item of system layer objective function
Part includes electric equilibrium constraint, thermal balance constraint, cold Constraints of Equilibrium, power constraint, capacity-constrained.
Constructed system layer bound for objective function include electric equilibrium constraint, thermal balance constraint, cold Constraints of Equilibrium,
Power constraint, capacity-constrained.
Wherein, electric equilibrium constrains, thermal balance constrains, the expression formula of cold Constraints of Equilibrium is respectively as follows:
PL,T(t)+Pbuy(t)=Pe,Storage(t)+Pload(t)
CL,T(t)=Pcool,Storage(t)+Pcool,load(t)
QL,T(t)=Pheat,Storage(t)+Pheat,load(t)
In above three expression formula, PStorageFor energy storage power, PloadFor bearing power.
Power constraint and capacity-constrained be all refrigeration, heat, electrical power processed and Chu Leng, heat accumulation, storage power are equal
The sum of the power of each relevant device need to be less than, and each storage, Chu Leng, heat storage capacity are both needed to hold less than the storage of relevant device
Amount.
A kind of energy internet Multipurpose Optimal Method provided in an embodiment of the present invention utilizes system layer objective function and excellent
Change algorithm to optimize system layer, may include:
Building is by photovoltaic generation power, wind-power electricity generation power, combustion gas trilogy supply unit generation power, combustion gas trilogy supply unit
Cooling supply power, combustion gas trilogy supply unit heating power, biomass power generation unit generation power, gas fired-boiler heating power, outsourcing
The 11 dimension single-particle P=[P that 11 electrical power, Chu Leng, heat accumulation, storage power scheduling variables form1…P11], PiBecome for scheduling
Amount, i=1,2 ... 11；
In optimizing, each optimizing updates the wherein one-dimensional of single-particle P, and single-particle P is substituted into system layer objective function F
(x) in；
The quality for comparing kth time optimizing front and back single-particle P makes to seek for kth+1 time if the quality of single-particle P gets a promotion
Excellent erection rateEqual to the erection rate of kth time optimizingIf the quality of single-particle P does not get a promotion,
Using modifying factor to erection rateIt is modified, wherein the optimization increment Delta P of i-th of scheduling variablei k+1By correcting
SpeedRandom velocityComposition,
K=1,2 ... M-1, M are regulation optimizing number；
After optimizing number reaches regulation optimizing number, single-particle P converges on the globally optimal solution of system layer objective function,
Realize the optimization to system layer.
In energy internet, energy management center as the regulatory agencies in energy internet system operational process,
There is the processes such as status monitoring, data communication, task computation and instruction execution, pass through going through for each energy internet energy net
History load curve (hot and cold, electric historical load curve), electric load hot and cold to its predict, and based on real-time natural gas,
Price is bought in and sold to weather forecast, electric energy by multiple-objection optimization index to photovoltaic power generation quantity, wind-power electricity generation amount, combustion gas three
For unit generation amount and cooling supply/heat, biomass power generation unit generation amount, gas fired-boiler heating load, outer purchase of electricity, Chu Leng, storage
Heat, reserve of electricity optimize.In the feasible solution of energy internet Real-Time Scheduling comprising photovoltaic generation power, wind-power electricity generation power,
Combustion gas trilogy supply unit generation power, combustion gas trilogy supply unit cooling supply power, combustion gas trilogy supply unit heating power, biomass fermentation
This 11 scheduling variables of motor group generated output, gas fired-boiler heating power, outsourcing electrical power, Chu Leng, heat accumulation, storage power.
It, specifically can be with when being optimized using constructed system layer objective function F (x) and optimization algorithm to system layer
Global optimum is carried out based on intelligent granule algorithm and seeks solution, to optimize to system layer.
Seeking solution based on intelligent granule algorithm progress global optimum, detailed process is as follows:
Utilize 11 dimension single-particle P=[P of above-mentioned 11 scheduling variables composition1…P11], wherein each scheduling variable it is initial
Value generates at random in respective value interval.
During multiple-objection optimization, each optimizing only updates one-dimensional in single-particle P, i.e. only 11 scheduling changes of update
One of scheduling variable in amount, and single-particle P is updated in above-mentioned constructed system layer objective function F (x), to comment
The superiority and inferiority of valence F (P).Wherein, the value of F (P) is bigger, then the quality for representing single-particle P is more excellent.
After kth time optimizing, compare quality of the single-particle P before and after optimizing, if the quality of single-particle P gets a promotion,
Then show optimizing success, can then enable the erection rate of+1 optimizing of kth at this timeEqual to the erection rate of kth time optimizingIf the quality of single-particle P does not get a promotion, modifying factor is utilizedTo the erection rate of+1 optimizing of kthIt is modified, to change optimization direction.Wherein, i expression scheduling variable, i=1,2 ... 11, k=1,2 ... M-1, M are
It provides optimizing number (i.e. the number of iterations).
In optimizing, in order to make speed of searching optimization that there is certain randomness, guarantee that Search Range can cover as much as possible
Area of feasible solution then optimizing number and optimizing radius can generate random velocity according to the rulesCorrespondingly, i-th of tune
Spend the optimization increment Delta P of variablei k+1It then can be by erection rateRandom velocityThis two parts composition.
After optimizing number reaches regulation optimizing number, single-particle P may finally converge on system layer objective function F
(x) globally optimal solution, as each optimal power output of scheduling variable, so as to provide reference for the Construction and operation of energy internet
Foundation.
Certainly, other than carrying out global optimum using intelligent granule algorithm and seeking solution, grey correlation can also be utilized
TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) method,
AHP method, entropy assessment, neural network algorithm, algorithm of support vector machine and other intelligent optimization algorithms optimize calculating.
The embodiment of the invention also provides a kind of energy internet multiple-objection optimization devices, refer to Fig. 3, and it illustrates this
Inventive embodiments provide a kind of energy internet multiple-objection optimization device structural schematic diagram, may include:
Module 11 is established, is used for: establishing characterization energy network optimal route selection ability and characterization energy network intercommunication energy
The comprehensive assessment index system of power；
First optimization module 12, is used for: according to each index selection actual evaluation parameter square in comprehensive assessment index system
Battle array carries out standardization processing to actual evaluation parameter matrix, utility function matrix is obtained, using utility function matrix to decision-making level
It optimizes；
Second optimization module 13, is used for: being coordinated to each target by utility function matrix, according to utility function matrix
And each evaluation index constructs system layer objective function, and excellent to system layer progress using system layer objective function and optimization algorithm
Change, wherein target includes energy network optimal route selection, energy network interoperability.
The embodiment of the invention also provides a kind of energy internet multiple-objection optimization equipment, specifically may refer to Fig. 4, show
The structural schematic diagram for having gone out a kind of energy internet multiple-objection optimization equipment provided in an embodiment of the present invention may include:
Memory 21, for storing computer program；
Processor 22 realizes any of the above-described kind of energy internet Multipurpose Optimal Method when for executing computer program
Step.
The embodiment of the invention also provides a kind of computer readable storage medium, it is stored on computer readable storage medium
Computer program realizes the step of any of the above-described kind of energy internet Multipurpose Optimal Method when computer program is executed by processor
Suddenly.
A kind of energy internet multiple-objection optimization device, equipment and computer-readable storage medium provided in an embodiment of the present invention
The explanation of relevant portion refers to corresponding in a kind of energy internet Multipurpose Optimal Method provided in an embodiment of the present invention in matter
Partial detailed description, details are not described herein.
It should be noted that, in this document, relational terms such as first and second and the like are used merely to a reality
Body or operation are distinguished with another entity or operation, are deposited without necessarily requiring or implying between these entities or operation
In any actual relationship or order or sequence.Moreover, the terms "include", "comprise" or its any other variant are intended to
Non-exclusive inclusion, so that the element that the process, method, article or equipment including a series of elements is intrinsic.?
Do not have in the case where more limiting, the element limited by sentence "including a ...", it is not excluded that including the element
There is also other identical elements in process, method, article or equipment.In addition, above-mentioned technology provided in an embodiment of the present invention
In scheme with correspond to the consistent part of technical solution realization principle and unspecified in the prior art, in order to avoid excessively repeat.
The foregoing description of the disclosed embodiments can be realized those skilled in the art or using the present invention.To this
A variety of modifications of a little embodiments will be apparent for a person skilled in the art, and the general principles defined herein can
Without departing from the spirit or scope of the present invention, to realize in other embodiments.Therefore, the present invention will not be limited
It is formed on the embodiments shown herein, and is to fit to consistent with the principles and novel features disclosed in this article widest
Range.
Claims (10)
1. a kind of energy internet Multipurpose Optimal Method characterized by comprising
It establishes characterization energy network optimal route selection ability and characterizes the comprehensive assessment index system of energy network interoperability；
Actual evaluation parameter matrix is obtained according to each evaluation index in the comprehensive assessment index system, to the actual evaluation
Parameter matrix carries out standardization processing, obtains utility function matrix, is optimized using the utility function matrix to decision-making level；
Each target is coordinated by the utility function matrix, according to the utility function matrix and each evaluation index
System layer objective function is constructed, and system layer is optimized using the system layer objective function and optimization algorithm, wherein institute
Stating target includes energy network optimal route selection, energy network interoperability.
2. energy internet according to claim 1 Multipurpose Optimal Method, which is characterized in that the comprehensive assessment index
Evaluation index in system includes evaluation index and the characterization energy network intercommunication for characterizing energy network optimal route selection ability
The evaluation index of ability, in which:
The evaluation index of characterization energy network optimal route selection ability includes that comprehensive utilization of energy rate, non-regeneration energy account for
Than, renewable energy consumption rate,Efficiency, carbon emission rate, economic well-being of workers and staff, cost of investment, the energy network proportion of goods damageds, energy network
Number of working hours based on maximum load；
The evaluation index of characterization energy network interoperability includes energy network serious forgiveness, the communication network bit error rate, heat power generation function
Rate accounting, electric heats power accounting, electric heating capacity accounting, hot generated energy accounting.
3. energy internet according to claim 2 Multipurpose Optimal Method, which is characterized in that according to the comprehensive assessment
Each evaluation index in index system obtains actual evaluation parameter matrix, carries out at standardization to the actual evaluation parameter matrix
Reason, obtains utility function matrix, comprising:
The weight coefficient X of h first order index is determined using AHP- entropy assessmenth, the first order index is the optimal road of energy network
Diameter selective power, energy network interoperability；
Subjective weight x of the j second level index relative to the first order index is calculated using AHPhj':The actual evaluation parameter matrix is constructed, and to xhj' be normalized
Processing:Wherein, comprehensive utilization of energy rate, non-regeneration energy accounting, renewable energy consumption rate, economic receipts
Benefit, energy network number of working hours based on maximum load, energy network serious forgiveness, hot generated output accounting, electric heats power accounting, electricity
Heating capacity accounting, hot generated energy accounting are positive index,Efficiency, cost of investment, the energy network proportion of goods damageds, is led at carbon emission rate
The communication network bit error rate is negative sense index；
Weight coefficient X based on first order indexhAnd the obtained x of normalizedhj, establish the utility function matrix: ghj
(x)=Xh×xhj。
4. energy internet according to claim 3 Multipurpose Optimal Method, which is characterized in that described actually commented constructing
After valence parameter matrix, further includes:
Consistency check is carried out to the actual evaluation parameter matrix, if not meeting consistency, rebuilds actual evaluation ginseng
Matrix number.
5. energy internet according to claim 4 Multipurpose Optimal Method, which is characterized in that according to the utility function
System layer objective function constructed by matrix and each evaluation index are as follows:
Wherein, fjIt (x) is respectively characterization energy network optimal path choosing
It selects calculation formula corresponding to each evaluation index of ability and characterizes corresponding to each evaluation index of energy network interoperability
Calculation formula.
6. energy internet according to claim 5 Multipurpose Optimal Method, which is characterized in that the system layer target letter
Several constraint condition includes electric equilibrium constraint, thermal balance constraint, cold Constraints of Equilibrium, power constraint, capacity-constrained.
7. energy internet according to claim 5 Multipurpose Optimal Method, which is characterized in that utilize the system layer mesh
Scalar functions and optimization algorithm optimize system layer, comprising:
Building is by photovoltaic generation power, wind-power electricity generation power, combustion gas trilogy supply unit generation power, combustion gas trilogy supply unit cooling supply
Power, combustion gas trilogy supply unit heating power, biomass power generation unit generation power, gas fired-boiler heating power, outsourcing electric work
The 11 dimension single-particle P=[P that 11 rate, Chu Leng, heat accumulation, storage power scheduling variables form1…P11], PiFor scheduling variable, i=
1,2,…11；
In optimizing, each optimizing updates the wherein one-dimensional of the single-particle P, and the single-particle P is substituted into the system layer
In objective function F (x)；
The quality for comparing the kth time optimizing front and back single-particle P makes kth+1 if the quality of the single-particle P gets a promotion
The erection rate of secondary optimizingEqual to the erection rate of kth time optimizingIf the quality of the single-particle P does not obtain
It is promoted, then using modifying factor to erection rateIt is modified, wherein the optimization increment Delta P of i-th of scheduling variablei k+1
By erection rateRandom velocityComposition, k=1,2 ... M-1, M are regulation optimizing number；
After optimizing number reaches the regulation optimizing number, the single-particle P converges on the complete of the system layer objective function
Office's optimal solution, realizes the optimization to the system layer.
8. a kind of energy internet multiple-objection optimization device characterized by comprising
Module is established, is used for: establishing characterization energy network optimal route selection ability and characterizes the comprehensive of energy network interoperability
Close evaluation index system；
First optimization module, is used for: according to each index selection actual evaluation parameter matrix in the comprehensive assessment index system,
Standardization processing is carried out to the actual evaluation parameter matrix, utility function matrix is obtained, utilizes the utility function matrix pair
Decision-making level optimizes；
Second optimization module, is used for: being coordinated to each target by the utility function matrix, according to the utility function square
Battle array and each evaluation index construct system layer objective function, and using the system layer objective function and optimization algorithm to system
Layer optimizes, wherein the target includes energy network optimal route selection, energy network interoperability.
9. a kind of energy internet multiple-objection optimization equipment characterized by comprising
Memory, for storing computer program；
Processor realizes that energy internet as described in any one of claim 1 to 7 is more when for executing the computer program
The step of purpose optimal method.
10. a kind of computer readable storage medium, which is characterized in that be stored with computer on the computer readable storage medium
Program, the computer program realize the more mesh in energy internet as described in any one of claim 1 to 7 when being executed by processor
The step of marking optimization method.
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Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110399968A (en) * | 2019-06-25 | 2019-11-01 | 电子科技大学 | System level testing based on utility function designs Multipurpose Optimal Method |
| CN110852531A (en) * | 2019-11-26 | 2020-02-28 | 国网江苏省电力有限公司南通供电分公司 | Energy internet multi-objective optimization method |
| CN111191907A (en) * | 2019-12-24 | 2020-05-22 | 嘉兴恒创电力设计研究院有限公司 | Comprehensive energy station energy efficiency evaluation method based on analytic hierarchy process |
| CN111768032A (en) * | 2020-06-24 | 2020-10-13 | 上海电力大学 | Double-layer optimization method of comprehensive energy system based on double-mode heat pump energy storage coordination |
| CN111969603A (en) * | 2020-08-17 | 2020-11-20 | 内蒙古科技大学 | Micro-energy network system and cooperative optimization operation control method thereof |
| CN112149980A (en) * | 2020-09-16 | 2020-12-29 | 国网山东省电力公司经济技术研究院 | Energy efficiency analysis method and system for regional comprehensive energy system |
| CN112203300A (en) * | 2020-08-07 | 2021-01-08 | 杭州电子科技大学 | Routing performance evaluation method for wireless communication node of power internet of things |
| CN112258021A (en) * | 2020-10-20 | 2021-01-22 | 西安交通大学 | Energy efficiency evaluation method and system for household fuel cell cogeneration building |
| CN112508280A (en) * | 2020-12-11 | 2021-03-16 | 山东大学 | Method and system for evaluating and optimizing real-time performance of comprehensive energy system |
| CN112600253A (en) * | 2020-11-18 | 2021-04-02 | 国网浙江省电力有限公司台州供电公司 | Park comprehensive energy collaborative optimization method and equipment based on optimal energy utilization efficiency |
| CN113516268A (en) * | 2020-04-10 | 2021-10-19 | 中国电力科学研究院有限公司 | Hybrid energy network strategy application system based on multi-energy complementary energy hub |
| CN116594346A (en) * | 2023-07-18 | 2023-08-15 | 山东恒圣石墨科技有限公司 | Intelligent control system and control method for graphite heater |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090292402A1 (en) * | 2008-04-14 | 2009-11-26 | Cruickshank Iii Robert F | Method & apparatus for orchestrating utility power supply & demand in real time using a continuous pricing signal sent via a network to home networks & smart appliances |
| CN106951998A (en) * | 2017-03-27 | 2017-07-14 | 国电南瑞科技股份有限公司 | A kind of small-size energy internet multi-source Optimum Synthesis appraisal procedure and system |
| CN107316125A (en) * | 2017-05-12 | 2017-11-03 | 燕山大学 | A kind of active distribution network economical operation evaluation method based on economical operation domain |
| CN107862455A (en) * | 2017-11-02 | 2018-03-30 | 国网天津市电力公司 | A kind of subjective and objective mixing appraisal procedure of power system cloud platform construction |
| CN108647815A (en) * | 2018-05-04 | 2018-10-12 | 国网能源研究院有限公司 | A kind of interregional Power System Interconnection path analysis model of more decision-makers |
| CN108960541A (en) * | 2017-05-17 | 2018-12-07 | 国网辽宁省电力有限公司鞍山供电公司 | Distributed photovoltaic system effectiveness appraisal procedure and device based on the analysis of cloud data |
| CN109146123A (en) * | 2018-06-29 | 2019-01-04 | 中国电力科学研究院有限公司 | A kind of multiple-energy-source comprehensive coordination effect evaluation method and system |
-
2019
- 2019-01-24 CN CN201910067905.3A patent/CN109784573B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090292402A1 (en) * | 2008-04-14 | 2009-11-26 | Cruickshank Iii Robert F | Method & apparatus for orchestrating utility power supply & demand in real time using a continuous pricing signal sent via a network to home networks & smart appliances |
| CN106951998A (en) * | 2017-03-27 | 2017-07-14 | 国电南瑞科技股份有限公司 | A kind of small-size energy internet multi-source Optimum Synthesis appraisal procedure and system |
| CN107316125A (en) * | 2017-05-12 | 2017-11-03 | 燕山大学 | A kind of active distribution network economical operation evaluation method based on economical operation domain |
| CN108960541A (en) * | 2017-05-17 | 2018-12-07 | 国网辽宁省电力有限公司鞍山供电公司 | Distributed photovoltaic system effectiveness appraisal procedure and device based on the analysis of cloud data |
| CN107862455A (en) * | 2017-11-02 | 2018-03-30 | 国网天津市电力公司 | A kind of subjective and objective mixing appraisal procedure of power system cloud platform construction |
| CN108647815A (en) * | 2018-05-04 | 2018-10-12 | 国网能源研究院有限公司 | A kind of interregional Power System Interconnection path analysis model of more decision-makers |
| CN109146123A (en) * | 2018-06-29 | 2019-01-04 | 中国电力科学研究院有限公司 | A kind of multiple-energy-source comprehensive coordination effect evaluation method and system |
Non-Patent Citations (1)
| Title |
|---|
| 郑宇等: "能源互联网环境下用户侧微电网的形态及优化运行", 《南方电网技术》 * |
Cited By (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110399968A (en) * | 2019-06-25 | 2019-11-01 | 电子科技大学 | System level testing based on utility function designs Multipurpose Optimal Method |
| CN110399968B (en) * | 2019-06-25 | 2021-12-10 | 电子科技大学 | Multi-objective optimization method for system-level testability design based on utility function |
| CN110852531A (en) * | 2019-11-26 | 2020-02-28 | 国网江苏省电力有限公司南通供电分公司 | Energy internet multi-objective optimization method |
| CN111191907A (en) * | 2019-12-24 | 2020-05-22 | 嘉兴恒创电力设计研究院有限公司 | Comprehensive energy station energy efficiency evaluation method based on analytic hierarchy process |
| CN113516268A (en) * | 2020-04-10 | 2021-10-19 | 中国电力科学研究院有限公司 | Hybrid energy network strategy application system based on multi-energy complementary energy hub |
| CN111768032A (en) * | 2020-06-24 | 2020-10-13 | 上海电力大学 | Double-layer optimization method of comprehensive energy system based on double-mode heat pump energy storage coordination |
| CN111768032B (en) * | 2020-06-24 | 2022-08-05 | 上海电力大学 | Double-layer optimization method of comprehensive energy system based on double-mode heat pump energy storage coordination |
| CN112203300A (en) * | 2020-08-07 | 2021-01-08 | 杭州电子科技大学 | Routing performance evaluation method for wireless communication node of power internet of things |
| CN112203300B (en) * | 2020-08-07 | 2022-06-17 | 杭州电子科技大学 | Routing performance evaluation method for wireless communication node of power internet of things |
| CN111969603A (en) * | 2020-08-17 | 2020-11-20 | 内蒙古科技大学 | Micro-energy network system and cooperative optimization operation control method thereof |
| CN112149980A (en) * | 2020-09-16 | 2020-12-29 | 国网山东省电力公司经济技术研究院 | Energy efficiency analysis method and system for regional comprehensive energy system |
| CN112258021A (en) * | 2020-10-20 | 2021-01-22 | 西安交通大学 | Energy efficiency evaluation method and system for household fuel cell cogeneration building |
| CN112258021B (en) * | 2020-10-20 | 2023-06-06 | 西安交通大学 | Energy efficiency evaluation method and system for domestic fuel cell cogeneration building |
| CN112600253A (en) * | 2020-11-18 | 2021-04-02 | 国网浙江省电力有限公司台州供电公司 | Park comprehensive energy collaborative optimization method and equipment based on optimal energy utilization efficiency |
| CN112508280A (en) * | 2020-12-11 | 2021-03-16 | 山东大学 | Method and system for evaluating and optimizing real-time performance of comprehensive energy system |
| CN116594346A (en) * | 2023-07-18 | 2023-08-15 | 山东恒圣石墨科技有限公司 | Intelligent control system and control method for graphite heater |
| CN116594346B (en) * | 2023-07-18 | 2023-10-20 | 山东恒圣石墨科技有限公司 | Intelligent control system and control method for graphite heater |
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