CN108173282A - A kind of consideration electricity turns gas operating cost integrated energy system Optimization Scheduling - Google Patents
A kind of consideration electricity turns gas operating cost integrated energy system Optimization Scheduling Download PDFInfo
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Abstract
The invention discloses a kind of consideration electricity to turn gas operating cost integrated energy system Optimization Scheduling, including：The energy hub model containing P2G is established, P2G operating costs are analyzed on the basis of foregoing model is established and the influence of ability are received to system economy and wind-powered electricity generation, and establish multiple target Optimal Operation Model a few days ago accordingly；Coordinate the contradictory relation of above-mentioned multiple target Optimal Operation Model a few days ago by Weighted Fuzzy planing method, realize by the conversion of multiple target to single goal.The application, which carries multi-objective Model, can then take into account the economy of system operation and wind-powered electricity generation receiving ability, and diversified selection can be provided for scheduling decision.
Description
Technical field
The present invention relates to technical field of electric power, turn the integrated energy system of gas operating cost a few days ago more particularly to consideration electricity
Optimization Scheduling.
Background technology
Currently, China abandon wind consumption problem it is extremely severe, according to statistics, whole year in 2016 abandons 49,700,000,000 kilowatt hour of wind-powered electricity generation amount, put down
It abandons wind rate and reaches 17.1%, wherein Gansu Province abandons wind rate and is more up to 43%.At the same time, the proposition of energy internet is can
Renewable sources of energy consumption provides new solution route, and the Optimized Operation of the integrated energy system as its important physical carrier is transported
It is capable then be realize abandon wind consumption key point.
As the core link of integrated energy system, electricity turns gas (power to gas, P2G) technology can be by low-valley interval hardly possible
The natural gas for being easy to Mass storage is converted into the wind-powered electricity generation of consumption, the depth coupling of electric power-natural gas network is realized, so as to change
Kind system operation flexibility, and improve its wind-powered electricity generation and receive ability.Therefore, P2G technologies and its optimizing operation method become current comprehensive
Close the focal issue of energy resource system research.Document " Guoqiang SUN, Shuang C, Zhinong WEI, et al.Multi-
period integrated natural gas and electric power system probabilistic optimal
power flow incorporating power-to-gas units[J].Journal of Modern Power
Systems and Clean Energy,2017:1-12. " and " Chuan HE, Tianqi LIU, Lei WU, et
al.Robust coordination of interdependent electricity and natural gas systems
in day-ahead scheduling for facilitating volatile renewable generations via
power-to-gas technology[J].Journal of Modern Power Systems and Clean Energy,
2017,5(3):375-388. " establishes the uncertainty models of electrical interconnection system, and it is flexible to system operation to analyze P2G
Property raising effect；" Wei Zhinong, Zhang Side, Sun Guoqiang wait meters and the electric electricity-gas interconnection integrated energy system for turning gas to cut to document
Peak load research [J] Proceedings of the CSEEs, 2017,16:004. " proposes one kind turns gas and gas turbine association by electricity
The model of row peak load shifting is transferred in, has taken into account the economy objectives of system and peak load shifting target；Document " Li Yang, Liu Weijia, Zhao
Pretty China waits to turn electric-gas-hot systems cooperative scheduling of gas containing electricity and dissolve wind-powered electricity generation performance analysis [J] electric power network techniques, and 2016,40
(12):3680-3688. " establishes integrated energy system Optimal Operation Model, and analyze using energy centre modeling method
System dissolves the economic benefit of wind-powered electricity generation.The studies above demonstrates P2G and ability is received to have system operation flexibility and wind-powered electricity generation
Benefit helps.
However, although there is P2G good wind of abandoning to dissolve effect, in current and foreseeable future, operating cost
It will probably be difficult to be greatly lowered.Currently, P2G capacity configurations are concentrated mainly on for the discussion of P2G operating costs both at home and abroad
In terms of economic evaluation.Document "M,Lefebvre J,F,et al.Renewable power-to-gas:a
technological and economic review[J].Renewable Energy,2016,85:1371-1390 " is detailed
The key technology of each links of P2G is described, and network analysis has been carried out to its cost；Document " Clegg S, Mancarella
P.Integrated modeling and assessment of the operational impact of power-to-
gas(P2G)on electrical and gas transmission networks[J].IEEE Transactions on
Sustainable Energy,2015,6(4):1234-1244. " and " Bucher M A, Haring T W, Bosshard F,
et al.Modeling and economic evaluation of Power2Gas technology using energy
hub concept[C]//Power&Energy Society General Meeting,2015IEEE.IEEE,2015:1-5.”
P2G is had evaluated by buying electric energy and the economic feasibility of sale natural gas participation energy market；Document " Jentsch M,
Trost T,Sterner M.Optimal use of power-to-gas energy storage systems in an
85%renewable energy scenario [J] .Energy Procedia, 2014,46:254-261 " using cost-receipts
Beneficial analytic approach determines the optimal capacity configuration of P2G；" Liu Weijia, Wen Fushuan, Xue Yusheng wait electricity to turn the cost of gas technology to document
Feature analyzes [J] Automation of Electric Systems, 2016,40 (24) with operation grade:1-11. " and " Weijia LIU,
Fushuan WEN,Yusheng XUE.Power-to-gas technology in energy systems:current
status and prospects of potential operation strategies[J].Journal of Modern
Power Systems and Clean Energy,2017:1-12 " has studied P2G and applies the cost feature under different scenes
With operation grade.The studies above shows：On the one hand, due to P2G operating costs costly, in the application must Reasonable and
The cost；On the other hand, in addition to electric cost, P2G costs of material will also influence its economy.Therefore, it is necessary to consider
Influence of its operating cost to system call.
At present, in the research of the existing Optimized Operation of integrated energy system containing P2G, consider P2G operating costs to comprehensive energy
The research of source system call influence on system operation is still rare.In fact, when P2G operating costs are higher, shadow to a certain extent is understood
The wind-powered electricity generation of acoustic system receives ability and performance driving economy, makes to generate certain contradictory relation therebetween.And then how to coordinate two
Relationship between person so that system still ensures that performance driving economy while ability is received with higher wind-powered electricity generation, is comprehensive containing P2G
Close the critical issue that energy resource system faces.
Invention content
In order to solve the deficiencies in the prior art, the present invention provides a kind of comprehensive energy systems for considering electricity and turning gas operating cost
Optimization Scheduling, the dispatching party rule of the invention a few days ago that carries can take into account the economy and wind of integrated energy system operation to system a few days ago
Electric receiving ability, and diversified selection can be provided for scheduling decision.
A kind of consideration electricity turns gas operating cost integrated energy system Optimization Scheduling, including：
The energy hub model containing P2G is established, P2G operating costs are analyzed on the basis of foregoing model is established to system
Economy receives the influence of ability with wind-powered electricity generation, and establishes multiple target Optimal Operation Model a few days ago accordingly；
Coordinate the contradictory relation of above-mentioned multiple target Optimal Operation Model a few days ago by Weighted Fuzzy planing method, realize by more
Target is to the conversion of single goal.
Further, in the energy hub model containing P2G input terminal be electric energy, natural gas, it is the electric energy, natural
Gas is input to the conversion of energy hub memory energy and storage, output electric energy, thermal energy supply workload demand, the energy containing P2G
Assume that thermal energy is only transmitted in energy hub internal in the hub model of source, i.e., do not consider that heating power is networked.
Further, the mathematical expression of the hub of the energy containing P2G is as follows in the energy hub model containing P2G：
In formula：Subscript m represents m-th of energy hub, Lm,t、Hm,tIt is electric load, the thermic load of t periods respectively, It is input electric power, the gas discharge of t periods respectively, v1、v2It is scheduling coefficient,It is the storage of t periods respectively
Qigong rate, deflation power, ηeg、ηchp,e、ηchp,h、ηghIt is that P2G electricity turns air and heat thermoelectric coproduction device (CHP) gas turn electricity, CHP gas respectively
Turn heat, gas-fired boiler furnace gas turns the efficiency of heat.
Further, Optimal Operation Model takes into account system operation economy and wind-powered electricity generation receiving ability to the multiple target a few days ago,
The corresponding object function of the model includes：The total operating cost F of integrated energy systemgMinimum and wind-powered electricity generation receives electricity FwIt is maximum；
Wherein, the total operating cost of integrated energy system includes thermoelectricity cost, wind power cost, air source output cost, gas storage
Equipment operating cost and P2G costs of material.
Further, the total operating cost F of the integrated energy systemgMinimum corresponding expression formula：
In formula：Ntu、Nw、Nsp、Ngs、Np2gFor thermoelectricity, wind-powered electricity generation, air source, gas storage equipment, the quantity of P2G equipment, T in system
For scheduling slot sum；It is the output power of t period fired power generating units i,It is that t periods system connects the plan of Wind turbines j
Receive wind power,It is the output gas flow amount of gas storage equipment in t period air source k and m-th of energy hub respectively；
ai、bi、ciIt is fired power generating unit i consumption characteristic curve parameters,It is Wind turbines j, air source k, gas storage equipment respectively
The cost coefficient of m, α, CMFor P2G cost of material coefficients, the unit of the two is respectively t/MWh, $/t.
Further, the wind-powered electricity generation receives electricity FwIt is maximum：
Wherein,It is that t periods system receives the plan of Wind turbines j wind power, T is scheduling slot sum.
Further, the constraints of multiple target Optimal Operation Model a few days ago includes：
Energy hub internal constrains, including：CHP units limits, gas fired-boiler units limits, P2G units limits and storage
The operation constraint of gas equipment；
Electric power networks constrain, including：Node power balance, unit output constraint, node voltage constraint, Branch Power Flow constraint
Natural gas network constraint, including：Node flow balance, the constraint of air source units limits, natural gas node pressure, pressurization
Stand constraint, pipeline flow constraint, gas discharge power flow is converted by its calorific value.
Further, the contradiction for coordinating above-mentioned multiple target Optimal Operation Model a few days ago by Weighted Fuzzy planing method
Relationship, specially：Optimization aim is blurred by membership function first, is then realized using weighted satisfaction index method more
Target is to the conversion of single goal.
Further, it is described to be blurred optimization aim by membership function, two different targets are obscured
Change, normalized, establish " lower semi-trapezoid " degree of membership letter that system operation cost receives two targets of electricity with wind-powered electricity generation respectively
Number.
Further, it is described by by two extent function weighted sums, constructing total satisfactory grade object function, so as to
Multiple target is realized to the conversion of single goal, the multiple target Weighted Fuzzy plan model such as following formula established：
In formula, μ is total satisfactory grade, a1、a2It is the weight coefficient of two targets, according to dispatcher to economy and wind
Electricity receives the different requirement settings of electricity；H (x) represents all equality constraints in model, and G (x) represents all inequality
Constraint；
The multiple target Weighted Fuzzy plan model that the membership function according to corresponding to two targets is established is converted to
Common non-linear single goal model.
Compared with prior art, the beneficial effects of the invention are as follows：
In the scheduling a few days ago of the integrated energy system containing P2G, consider that P2G operating costs receive ability and fortune to system wind-powered electricity generation
The influence of row economy, and propose that a kind of Model for Multi-Objective Optimization coordinates contradictory relation therebetween.Higher P2G operations into
The wind-powered electricity generation that this meeting influences system to a certain extent receives ability and performance driving economy, makes to generate certain contradiction therebetween；
And the application carries multi-objective Model and can then take into account the economy of system operation and receives ability with wind-powered electricity generation, and can be carried for scheduling decision
It is selected for diversification.
Description of the drawings
The accompanying drawings which form a part of this application are used for providing further understanding of the present application, and the application's shows
Meaning property embodiment and its explanation do not form the improper restriction to the application for explaining the application.
Fig. 1 is the energy hub containing P2G；
Fig. 2 is 9 node energy cluster systems；
The influence that Fig. 3 P2G costs of material run system call；
Fig. 4 weight coefficients change the influence to two targets；
Wind-powered electricity generation service condition under Fig. 5 (a)-Fig. 5 (c) different scenes (scene two, three, four)；
Gas storage equipment and air source are contributed under Fig. 6 different scenes；
CHP, fired power generating unit, gas fired-boiler are contributed under Fig. 7 (a)-Fig. 7 (c) different scenes；
Fig. 8 P2G technical schematic diagrams；
Fig. 9 natural gas line modes；
Two corresponding membership function of Figure 10 (a)-Figure 10 (b) targets one and target.
Specific embodiment
It is noted that following detailed description is all illustrative, it is intended to provide further instruction to the application.It is unless another
It indicates, all technical and scientific terms used herein has usual with the application person of an ordinary skill in the technical field
The identical meanings of understanding.
It should be noted that term used herein above is merely to describe specific embodiment, and be not intended to restricted root
According to the illustrative embodiments of the application.As used herein, unless the context clearly indicates otherwise, otherwise singulative
It is also intended to include plural form, additionally, it should be understood that, when in the present specification using term "comprising" and/or " packet
Include " when, indicate existing characteristics, step, operation, device, component and/or combination thereof.
In a kind of typical embodiment of the application, as shown in Figure 1, providing the synthesis for considering that electricity turns gas operating cost
Optimization Scheduling, specially a kind of consideration P2G operating costs receive ability to be passed through with operation system wind-powered electricity generation to energy resource system a few days ago
The integrated energy system dispatching method a few days ago that Ji property influences.First, in the base for establishing P2G operating costs and energy hub model
On plinth, analysis P2G operating costs receive the influence of ability to system economy and wind-powered electricity generation, and establish multiple target accordingly and optimize a few days ago
Scheduling model.Then, contradictory relation is coordinated by Weighted Fuzzy planing method, realized by the conversion of multiple target to single goal.Most
Afterwards, it is emulated by taking 9 node energy cluster systems as an example, interpretation of result illustrates shadow of the P2G operating costs to system operation
It rings, demonstrates the correctness of put forward model.
About the energy hub model containing P2G, P2G technologies and its operating cost are introduced first：
P2G technologies are divided into two processes of electrolysis and methanation, the efficiency of current entire chemical reaction flow up to 60%~
70%, technical principle is as shown in Figure 8.
P2G operating costs include fixed operating cost and variable operation cost, the former include plant maintenance expense, labour into
This etc.；The latter then refers to the cost needed for generation unit natural gas, directly affects Optimized Operation a few days ago.Therefore, P2G described below
Operating cost refers both to its variable operation cost, mainly includes electric cost and cost of material.Wherein, electric cost and power consumption
It is proportional；Cost of material is mainly carbon dioxide (CO2) cost, it is poor due to its source different (such as carbon capture technology, biogas)
Not larger, value is between 10 $/t~1000 $/t.
To sum up, P2G operating costs are represented by：
Cp2g=CEPp2gΔt+αCMPNGΔt(1)
In formula：Cp2gIt is P2G operating costs, Δ t is the run time that electricity turns gas equipment；CE、α、CMIt is P2G electricity consumptions electricity respectively
CO needed for valency, generation unit natural gas2Coefficient (t/MWh), CO2Cost coefficient ($/t)；Pp2g、PNGIt is that P2G is consumed respectively
Electrical power and the natural gas power of generation, the relationship of the two are shown below：
PNG=ηegPp2g (2)
In formula：ηegIt is the efficiency that P2G electricity turns gas.
As it can be seen that with electricity consumption electricity price, CO2Source is different, and P2G operating costs have different values.Therefore, when P2G operating costs
When higher, it is necessary to take into account its influence to system call operation.
Energy hub containing P2G, the energy hub of comprehensive various energy resources can provide broader operation for P2G technologies
Flexibility.The energy hub model containing P2G as shown in Figure 1 is constructed herein：Electric energy, the natural gas of input terminal, by P2G,
CHP, gas fired-boiler, gas storage equipment etc. realize energy conversion and storage, output electric energy, thermal energy supply workload demand.It needs to illustrate
, electric power networks and natural gas network are usually in a wide range of Intranet, and heating power network is due to being limited by the spy of supply and demand nearby
Point and transmission delay characteristic are normally only transmitted in local a small range.Therefore, in the model constructed in this paper, it is assumed that thermal energy
It is only transmitted in energy hub internal, i.e., does not consider that heating power is networked.
As shown in Figure 1, when wind electricity digestion difficulty, can superfluous wind-powered electricity generation be converted by natural gas by P2G, for CHP, combustion gas
Boiler is used or is stored, so as to improve wind electricity digestion capability and system operation flexibility.
The mathematical expression of the hub of the energy containing P2G is as follows：
In formula：Subscript m represents m-th of energy hub, Lm,t、Hm,tIt is electric load, the thermic load of t periods respectively,It is input electric power, the gas discharge of t periods respectively, v1、v2It is scheduling coefficient,When being t respectively
Gas storage power, the deflation power of section, ηeg、ηchp,e、ηchp,h、ηghIt is that P2G electricity turns gas, CHP gas turns electricity, CHP gas turns heat, combustion respectively
Steam pot furnace gas turns the efficiency of heat.
Integrated energy system multiple target about the application scheduling model a few days ago：The application assumes integrated energy system by uniting
One scheduling institution is responsible for scheduling.When P2G operating costs are higher, the wind-powered electricity generation that can influence system to a certain extent receives ability
With performance driving economy, make to generate certain contradictory relation therebetween.If it at this point, is adjusted so that system economy is optimal for target
Degree then may result in contribute less, wind-powered electricity generations of P2G and receive ability relatively low；And if ability is received to be up to target with wind-powered electricity generation and carried out
Scheduling, in addition to higher P2G operating costs, each device may deviate from economical operating point in system, lead to system economy
It is deteriorated.
Therefore, Multiobjective Optimal Operation model is established, is desirably to obtain simultaneous on the basis of P2G operating costs are considered herein
Care for the optimum results that system operation economy receives ability with wind-powered electricity generation.
Object function, target one are the total operating cost F of integrated energy systemgMinimum, including thermoelectricity cost, wind-powered electricity generation into
Sheet, air source output cost, gas storage equipment operating cost and P2G costs of material.It should be noted that for United Dispatching mechanism
For, wind power cost, that is, system pays the cost of the Wind turbines owner, and P2G electric costs be included in thermoelectricity cost or
Among wind power cost.Therefore, target one is shown below：
In formula：N be system in each unit, equipment quantity, T for scheduling slot sum；It is t period fired power generating units i
Output power,It is that t periods system receives wind power to the plan of Wind turbines j,T period air source k respectively with
And in m-th of the energy hub gas storage equipment output gas flow amount；ai、bi、ciIt is fired power generating unit i consumption characteristic curve parameters,It is the cost coefficient of Wind turbines j, air source k, gas storage equipment m respectively.
Target two is that wind-powered electricity generation receives electricity FwIt is maximum：
In integrated energy system management and running, it is pre- that wind-powered electricity generation maximum of the system in the t periods receives power to be not necessarily wind-powered electricity generation
Power scale, since (such as fired power generating unit minimum load, P2G and gas storage place capacity, circuit pass by system physical capacity limit
Defeated capacity etc.), some wind-powered electricity generation must discard.
Constraints：Energy hub internal constrains
(1) CHP units limits
In formula：It is the power supply output of CHP and the heat supply output upper limit in m-th of energy hub respectively.
(2) gas fired-boiler units limits
In formula：It is the heat supply output upper limit of gas fired-boiler in m-th of energy hub.
(3) P2G units limits
In formula：It is the output upper limit of P2G in m-th of energy hub.
(4) gas storage equipment operation constraint
Gas storage equipment model includes gas storage Constraints of Equilibrium (8), gas storage capacity-constrained (9), gas storage and deflation power bound
It constrains (10) (11).
Sm,min≤Sm,t≤Sm,max (11)
In formula：Sm,t-1、Sm,tIt is the gas storage capacity of two neighboring period in m-th of energy hub, Sm,max、Sm,minRespectively
It is the bound of gas storage equipment capacity,It is deflation power and the gas storage upper limit of the power respectively.
Certain adjusting nargin is reserved in order to give next dispatching cycle, the gas-storing capacity after operation a cycle is restored to
Gas-storing capacity originally, also this means that the aeration quantity in a cycle is equal to discharge quantity：
2. electric power networks constrain
(1) node power balances
In formula：It is active and reactive power generation power of the node i in the t periods respectively,It is node i respectively
The active and reactive power of energy hub t period input terminals connected, Ui,t、θij,tRespectively voltage magnitude and node phase
Angular difference, Gij、BijIt is the real part and imaginary part of bus admittance matrix respectively.
(2) unit output constrains
In formula：It is the active power output bound of unit i respectively,It is in idle output respectively
Lower limit,It is wind power prediction values of the Wind turbines i in the t periods.
(3) node voltage constrains
Uimin≤Ui,t≤Uimax (20)
In formula：Uimax、UiminIt is the voltage bound of node i respectively.
(4) Branch Power Flow constrains
|Pkl,t|≤Pklmax (21)
In formula：PklmaxIt is the trend upper limit value of branch kl.
3. natural gas network constraint
(1) node flow balances
In formula：It is that node i connects output gas discharge of the air source in the t periods,It is the energy that node i is connected
The gas discharge of source hub input terminal,It is that t period node is connect the sum of flow of natural gas lines.
(2) air source units limits
In formula：It is the output bound of gas source point i respectively.
(3) natural gas node pressure constrains
ωimin≤ωi,t≤ωimax (24)
In formula：ωimax、ωiminIt is the pressure bound of natural gas node i respectively.
(4) pressurizing point constrains
Since natural gas can cause stress loss because of pipe friction etc. in transmission process, it is generally necessary to pressurizing point into
Row supercharging, as shown in Figure 9.
Gas discharge f between node i and jij,tIt is the gas discharge f from pressurizing point outlet n to node jnj,tWith adding
The gas discharge of pressure station consumptionThe sum of, i.e.,：
The flow of pressurizing point consumptionPressure between its exit gas discharge and two nodes is related, can retouch
State for：
In formula：It is the constant coefficient of pressurizing point between node i and j.
(5) pipeline flow constrains
fnjmin≤fnj,t≤fnjmax (29)
In formula：CnjIt is the transmission coefficient of transmission pipeline between node n and node j, fnjmax、fnjminIt is pipeline nj respectively
Flow bound.
(6) gas discharge can be converted into power flow by its calorific value, and conversion relation therebetween is：
Pgas=HGVGgas (30)
In formula：PgasFor natural gas power flow, HGVFor the high heating value of natural gas, value 39MJ/m3。
Weighted Fuzzyization about multiple target is handled：
To coordinate in the model two targets with contradictory relation, herein first by membership function by optimization aim
Then blurring realizes conversion of the multiple target to single goal using weighted satisfaction index method.This method had both combined fuzzy rule
Draw the advantages of theoretical, while again it is contemplated that policymaker is to the attention degree of different target, adaption scheduling personnel to economy with
Wind-powered electricity generation receives the different requirements of ability.
First, two different targets are blurred, normalized.System operation cost and wind-powered electricity generation are established respectively
" lower semi-trapezoid " membership function of two targets of electricity is received, as shown in Figure 10 (a)-Figure 10 (b).
Membership function corresponding to two targets is respectively：
In formula, μ (Fg)、μ(Fw) represent the satisfaction that electricity is received operating cost and wind-powered electricity generation respectively；Fgmin、FwmaxPoint
Not Biao Shi two single goal models optimal solution, represent the theoretically minimum value of system operation cost and wind-powered electricity generation and receive electricity
Maximum value；βg、βwFor elastic satisfaction, βgFgmin、βwFwmaxRepresent the operating cost value added and wind-powered electricity generation of policymaker's permission
Receive electricity decreasing value.
Then, by by two extent function weighted sums, total satisfactory grade object function being constructed, so as to fulfill more mesh
Mark the conversion of single goal.The multiple target Weighted Fuzzy plan model such as following formula established：
In formula, μ is total satisfactory grade, a1、a2It is the weight coefficient of two targets, according to dispatcher to economy and wind
Electricity receives the different requirement settings of electricity；H (x) represents all equality constraints in model, and G (x) represents all inequality
Constraint.
Under the setting of formula (31) (32), model (33) is of equal value with model (34)：
Model (34) is common non-linear objective programming problem, optimization software GAMS can be used to solve.GAMS
(General Algebraic Modeling System) is a kind of software established and solve large complicated planning problem, is led to
Cross the optimal solution that suitable external solver (such as CPLEX, IPOPT, MINOS) is called to carry out solving-optimizing model.Wherein, interior point method
Solver (interior point optimizer, IPOPT) is suitable for solving large-scale nonlinear optimization problem, in many fields
It is widely applied.Therefore, it is solved herein using GAMS/IPOPT.
The application specifically discloses sample calculation analysis below：
9 node energy cluster systems：Construct 9 node energy cluster systems as shown in Figure 2.In figure, H1~H9
9 energy hubs, H5 internal structures as shown in Figure 1, remaining energy hub internal without P2G and gas storage equipment.H3、H4、
H9 is respectively connected to thermal power plant G1, G2, G3, H5 access wind power plants WT.In addition, H3, H4 are respectively connected to gas source point S1, S2.
For document " Wang Yelei, Zhao Junhua, Wen Fushuan, the market equilibrium of multi-energy system for waiting that there is electricity to turn airway dysfunction
Analyze [J] Automation of Electric Systems, 2015,39 (21):Winter typical day test data in 1-10 " has carried out part and has changed,
Each device parameter, cost coefficient etc. are shown in Table B1-B5.
Table B1 winter typical case daily loads predict Value Data with wind-powered electricity generation
Each units of table B2, equipment cost coefficient
Each units of table B3, equipment operating parameter
Table B4 electric power networks parameters
Table B5 natural gas network parameters
Wherein wind-powered electricity generation prediction generated energy is 7196MWh.Assuming that load evenly distributes in 9 energy hubs.Power train
The unified reduction such as system, natural gas system, thermic load is measured for kiowatt, and takes power reference value as 100MW, with perunit value
(pu) it represents；Cost base value is taken to be represented for 4 $/MWh with financial unit (mu).
In P2G operating costs, CO2Cost data takes α=0.2t/MWh, CMThe cost of material coefficient of=90 $/t, i.e. P2G
For 4.5mu.
For the characteristic relation between research system operation economy and wind-powered electricity generation receiving ability, 4 kinds of scenes is set to carry out herein
Comparative analysis, it is as follows respectively：
Scene one：Without P2G in system, target is system operation cost minimum；
Scene two：There is P2G in system, target is system operation cost minimum；
Scene three：There is P2G in system, target is that system wind-powered electricity generation receives electricity maximum；
Scene four：There is P2G in system, consider operating cost target and wind-powered electricity generation receives target.
The influence that P2G costs of material run system call：
Scene one is optimized, obtains Fw=5301MWh, Fg=3623.73mu.It is to analyze P2G operating costs to system wind
The influence of electric receiving ability and performance driving economy sets different P2G costs of material coefficients (i.e. different respectively in scene two
CO2Cost coefficient CM) optimize, and compared with one optimum results of scene.
As shown in figure 3, when not considering P2G costs of material, since only by system physical capacity limit, wind-powered electricity generation is as far as possible
It is accepted, at this time Fw=7052MWh, Fg=3545.23mu.Comparison scene one can find that P2G can significantly improve system at this time
Wind-powered electricity generation receives ability and reduces system operation cost.
And increase with P2G costs of material, P2G outputs gradually decrease, therefore the wind-powered electricity generation of system receives electricity to reduce, and are simultaneously
System total operating cost also gradually increases.Comparison scene one can find that P2G remains to the wind-powered electricity generation receiving ability of increase system and subtracts at this time
Few operating cost, but its effect receives the limitation of its operating cost.
When P2G costs of material increase to 6mu, start P2G and wind-powered electricity generation is received not have economy for system, therefore
P2G does not start, and wind-powered electricity generation receives electricity to be fixed on 5301MWh, identical with scene one.
It can be seen that when P2G operating costs are higher, the wind-powered electricity generation that can influence system to a certain extent receives ability and fortune
Row economy.The conclusion also fully demonstrates the necessity that P2G operating costs are considered in scheduling research a few days ago.
Characteristic relation analysis between multiple target：
For further analysis system between performance driving economy and wind-powered electricity generation receiving ability existing characteristic relation, take P2G former
Material cost coefficient is 4.5mu, optimizes calculating to scene two, three respectively, it is as shown in table 1 can to obtain optimum results.
Wind-powered electricity generation under 1 different scenes of table receives electricity and system operation cost
Comparison scene two, three it can be found that when with system wind-powered electricity generation receive ability be up to target when, receive wind-powered electricity generation amount
Increase, but system operation cost also increases therewith.It can be seen that when P2G operating costs are higher, system performance driving economy with
There are certain contradictory relations between wind-powered electricity generation receiving ability.
Since system is in Optimum Economic operating point, still have it is larger abandon wind-powered electricity generation amount, therefore, it is necessary in two mutual lances
Seek compromise solution between the target of shield.F is obtained by scene two, three optimum resultsgmin=3604.11mu, Fwmax=7052MWh, it is on the scene
Jing Sizhong takes βgFgmin=48.05mu, βwFwmax=1272MWh takes different weight coefficient a respectively1、a2Two targets are carried out
Coordinate analysis, the results are shown in Figure 4.
As can be seen that with a2Increase, a1Reduce, wind-powered electricity generation receives electricity about linearly to increase.At the same time, system operation
Cost also increases, and in a2When=0~0.4, increase speed more slowly, and with a2Further increase, increase speed then by
Gradually it is intended to the variation tendency that wind-powered electricity generation receives electricity.Based on this characteristic relation, below in conjunction with optimum results detailed analysis system
System operation mechanism.
Optimize operation result analysis：For scene four, dispatcher can set weight coefficient according to operation demand, take herein
a2=0.5, obtain optimum results Fw=6471MWh, Fg=3618.89mu.The internal system generated for analysis paradox runs machine
Reason, the optimum results of scene two, three, four are compared and analyzed herein, each device output situation such as Fig. 5 (a) -5 (c), Fig. 6,
Shown in Fig. 7 (a)-Fig. 7 (c).
According to Fig. 5 (a) -5 (c), Fig. 6, Fig. 7 (a)-Fig. 7 (c) as can be seen that system be broadly divided into night (1h-6h,
23h-24h), two kinds of operating statuses on daytime (7h-22h), since night wind-powered electricity generation has larger surplus, and daytime, wind power output was less,
So P2G only starts at night.Shown in wind-powered electricity generation service condition such as Fig. 5 (a)-Fig. 5 (c) under different scenes.
It is found that from scene two, scene four to scene three, night P2G's different scenes in 5 (a)-Fig. 5 (c) of comparison diagram contributes
Increase, the wind-powered electricity generation for increasing system receives ability.
As shown in fig. 6, as the P2G natural gases converted gradually increase, the gas-storing capacity of night gas storage equipment also gradually increases.
And the air source output under three kinds of scenes has no significant change, the cost this is mainly due to P2G conversion natural gases is straight compared to air source
The cost for picking out power is higher, so P2G contributes, variation does not interfere with air source output substantially.In addition, the limitation due to constraining (14),
From scene two, scene four to scene three, daytime, the discharge quantity of gas storage equipment also gradually increased, and supply CHP carries out power peak regulation.
CHP, fired power generating unit, output situation such as Fig. 7 (a)-Fig. 7 (c) of gas fired-boiler are shown.
By Fig. 7 (a)-Fig. 7 (c) as it can be seen that from scene two, scene four to scene three, daytime, CHP outputs gradually increased, according to
The electric load equilibrium of supply and demand, thermal power output gradually decrease；Additionally, due to electro thermal coupling relationship, thermic load also relies primarily on daytime
CHP meets, and gas fired-boiler is contributed less.And night since electrical load requirement is low, by wind-powered electricity generation, thermoelectricity can meet demand, because
This CHP does not start；Thermic load at this time relies primarily on gas fired-boiler satisfaction.
As seen from the above analysis, electric power, natural gas and hot three kinds of energy conversion close-coupled, influence each other.
Under three kinds of scenes shown in accumulative output and its cost statement B6 of each device within dispatching cycle.
Device under table B6 different scenes is contributed and cost
From the above analysis and annex table B6 as it can be seen that with to wind-powered electricity generation receive requirement step up, the output of wind-powered electricity generation and P2G
And its cost gradually increases；But due to by limitations, thermal power output and its cost such as the equilibrium of supply and demand and each device output level
The speed of reduction is gradually slack-off.Therefore, system synthesis originally gradually increases, and is intended to wind-powered electricity generation and the increase of P2G output costs becomes
Gesture.It can be seen that P2G operating costs are the central factors that system is made to generate contradictory relation between two targets.Above-mentioned conclusion is also
Characteristic phenomenon shown in Fig. 4 is reflected, fully explains the internal system operation mechanism of contradictory relation generation.
Also, compared to scene two, the wind-powered electricity generation of scene four receives electricity to be increased to 89.92% from 80.32%；And compared to scene
Three, system operation cost is also reduced.This illustrates multi-objective Model employed herein, and ability is received improving system wind-powered electricity generation
While, it is possibility to have effect ensures the economy of system operation, fully demonstrates the validity of this paper models and method.
The foregoing is merely the preferred embodiments of the application, are not limited to the application, for the skill of this field
For art personnel, the application can have various modifications and variations.It is all within spirit herein and principle, made any repair
Change, equivalent replacement, improvement etc., should be included within the protection domain of the application.
Claims (10)
1. a kind of consideration electricity turns gas operating cost integrated energy system Optimization Scheduling, it is characterized in that, including：
The energy hub model containing P2G is established, P2G operating costs are analyzed on the basis of foregoing model is established to systematic economy
Property the influence of ability is received with wind-powered electricity generation, and establish multiple target Optimal Operation Model a few days ago accordingly；
Coordinate the contradictory relation of above-mentioned multiple target Optimal Operation Model a few days ago by Weighted Fuzzy planing method, realize by multiple target
To the conversion of single goal.
2. a kind of consideration electricity as described in claim 1 turns gas operating cost integrated energy system Optimization Scheduling, feature
It is that input terminal is electric energy, natural gas in the energy hub model containing P2G, and the electric energy, natural gas are input to energy collection
Line device memory energy is converted and storage, output electric energy, thermal energy supply workload demand, in the energy hub model containing P2G
It is assumed that thermal energy is only transmitted in energy hub internal, i.e., do not consider that heating power is networked.
3. a kind of consideration electricity as claimed in claim 1 or 2 turns gas operating cost integrated energy system Optimization Scheduling, special
Sign is that the mathematical expression of the hub of the energy containing P2G is as follows in the energy hub model containing P2G：
In formula：Subscript m represents m-th of energy hub, Lm,t、Hm,tIt is electric load, the thermic load of t periods respectively, Point
It is not input electric power, the gas discharge of t periods, v1、v2It is scheduling coefficient,It is the gas storage work(of t periods respectively
Rate, deflation power, ηeg、ηchp,e、ηchp,h、ηghIt is that P2G electricity turns gas, CHP gas turns electricity, CHP gas turns heat, gas-fired boiler furnace gas turns respectively
The efficiency of heat.
4. a kind of consideration electricity as described in claim 1 turns gas operating cost integrated energy system Optimization Scheduling, feature
It is that the Optimal Operation Model a few days ago takes into account system operation economy and receives ability, the corresponding multiple target letter of the model with wind-powered electricity generation
Number includes：The total operating cost F of integrated energy systemgMinimum and wind-powered electricity generation receives electricity FwIt is maximum；
Wherein, the total operating cost of integrated energy system includes thermoelectricity cost, wind power cost, air source output cost, gas storage equipment
Operating cost and P2G costs of material.
5. a kind of consideration electricity as claimed in claim 4 turns gas operating cost integrated energy system Optimization Scheduling, feature
It is the total operating cost F of the integrated energy systemgMinimum corresponding expression formula：
In formula：Ntu、Nw、Nsp、Ngs、Np2gFor thermoelectricity, wind-powered electricity generation, air source, gas storage equipment, the quantity of P2G equipment in system, T is scheduling
Period sum；It is the output power of t period fired power generating units i,It is that t periods system receives wind work(to the plan of Wind turbines j
Rate,It is the output gas flow amount of gas storage equipment in t period air source k and m-th of energy hub respectively；ai、bi、ci
It is fired power generating unit i consumption characteristic curve parameters,It is the cost of Wind turbines j, air source k, gas storage equipment m respectively
Coefficient, α, CMFor P2G cost of material coefficients, the unit of the two is respectively t/MWh, $/t.
6. a kind of consideration electricity as claimed in claim 4 turns gas operating cost integrated energy system Optimization Scheduling, feature
It is that the wind-powered electricity generation receives electricity FwIt is maximum：
Wherein,It is that t periods system receives the plan of Wind turbines j wind power, T is scheduling slot sum.
7. a kind of consideration electricity as described in claim 1 turns gas operating cost integrated energy system Optimization Scheduling, feature
It is that the constraints of the Optimal Operation Model a few days ago includes：
Energy hub internal constrains, including：CHP units limits, gas fired-boiler units limits, P2G units limits and gas storage are set
Received shipment row constrains；
Electric power networks constrain, including：Node power balance, unit output constraint, node voltage constraint, Branch Power Flow constraint
Natural gas network constraint, including：Node flow balance, the constraint of air source units limits, natural gas node pressure, pressurizing point are about
Beam, pipeline flow constraint, gas discharge are converted into power flow by its calorific value.
8. a kind of consideration electricity as described in claim 1 turns gas operating cost integrated energy system Optimization Scheduling, feature
It is the contradictory relation for coordinating above-mentioned multiple target Optimal Operation Model a few days ago by Weighted Fuzzy planing method, specially：It is first
First optimization aim is blurred by membership function, then realizes that multiple target arrives single goal using weighted satisfaction index method
Conversion.
9. a kind of consideration electricity as claimed in claim 8 turns gas operating cost integrated energy system Optimization Scheduling, feature
It is, it is described to be blurred optimization aim by membership function, two different targets are blurred, normalized,
" lower semi-trapezoid " membership function that system operation cost receives two targets of electricity with wind-powered electricity generation is established respectively.
10. a kind of consideration electricity as claimed in claim 9 turns gas operating cost integrated energy system Optimization Scheduling, feature
It is, it is described by by two extent function weighted sums, constructing total satisfactory grade object function, so as to fulfill multiple target to singly
The conversion of target, the multiple target Weighted Fuzzy plan model such as following formula established：
In formula, μ is total satisfactory grade, a1、a2It is the weight coefficient of two targets, economy and wind-powered electricity generation is connect according to dispatcher
The different of electricity of receiving require setting；H (x) represents all equality constraints in model, and G (x) represents all inequality constraints；
The multiple target Weighted Fuzzy plan model that the membership function according to corresponding to two targets is established is converted to commonly
Non-linear single goal model.
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| CN110544025B (en) * | 2019-08-21 | 2022-08-26 | 河海大学 | Optimal scheduling method for gas-electricity comprehensive energy system combining electricity to gas and gas storage tank |
| CN111681130A (en) * | 2020-06-15 | 2020-09-18 | 西安交通大学 | Comprehensive energy system optimization scheduling method considering condition risk value |
| CN111681130B (en) * | 2020-06-15 | 2024-04-16 | 西安交通大学 | Comprehensive energy system optimal scheduling method considering conditional risk value |
| CN111754133A (en) * | 2020-06-30 | 2020-10-09 | 太原理工大学 | Comprehensive energy system source-load low-carbon economic dispatching method considering carbon capture system |
| CN111754133B (en) * | 2020-06-30 | 2023-08-15 | 太原理工大学 | Comprehensive energy system 'source-charge' low-carbon economic dispatching method considering carbon trapping system |
| CN112054553A (en) * | 2020-08-18 | 2020-12-08 | 国网山东省电力公司潍坊供电公司 | Coordinated optimization operation method, system, medium and equipment for electric-heat-gas interconnection system |
| CN112862158B (en) * | 2021-01-12 | 2023-11-07 | 山东大学 | Day-ahead optimal scheduling method and system for comprehensive energy system |
| CN112862158A (en) * | 2021-01-12 | 2021-05-28 | 山东大学 | Day-ahead optimization scheduling method and system for comprehensive energy system |
| CN113221325A (en) * | 2021-04-13 | 2021-08-06 | 西华大学 | Multi-source energy storage type regional comprehensive energy low-carbon operation optimization method considering electricity to gas |
| CN113537618A (en) * | 2021-07-29 | 2021-10-22 | 中国电建集团河南省电力勘测设计院有限公司 | Comprehensive energy system optimization scheduling method considering resident user demand response |
| CN114091913A (en) * | 2021-11-19 | 2022-02-25 | 云南电网有限责任公司电力科学研究院 | Low-carbon economic dispatching method considering heat supply network and P2G multi-park comprehensive energy system |
| CN114091913B (en) * | 2021-11-19 | 2024-04-26 | 云南电网有限责任公司电力科学研究院 | Low-carbon economic dispatching method considering heat supply network and P2G multi-park comprehensive energy system |
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