CN117171944A - Low-carbon economic dispatching method for electric coupling system considering hydrogen loading of natural gas network - Google Patents
Low-carbon economic dispatching method for electric coupling system considering hydrogen loading of natural gas network Download PDFInfo
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- 229910052799 carbon Inorganic materials 0.000 title claims abstract description 105
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 title claims abstract description 83
- 230000008878 coupling Effects 0.000 title claims abstract description 68
- 238000010168 coupling process Methods 0.000 title claims abstract description 68
- 238000005859 coupling reaction Methods 0.000 title claims abstract description 68
- 239000003345 natural gas Substances 0.000 title claims abstract description 36
- 229910052739 hydrogen Inorganic materials 0.000 title claims abstract description 31
- 239000001257 hydrogen Substances 0.000 title claims abstract description 31
- UFHFLCQGNIYNRP-UHFFFAOYSA-N Hydrogen Chemical compound [H][H] UFHFLCQGNIYNRP-UHFFFAOYSA-N 0.000 title claims abstract description 30
- 238000000034 method Methods 0.000 title claims abstract description 27
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 claims abstract description 88
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- 238000004364 calculation method Methods 0.000 claims description 6
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- 238000010438 heat treatment Methods 0.000 claims description 4
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- 230000003139 buffering effect Effects 0.000 claims description 2
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- 239000013598 vector Substances 0.000 claims description 2
- 239000002737 fuel gas Substances 0.000 claims 1
- 230000009467 reduction Effects 0.000 abstract description 6
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 description 16
- 229910002092 carbon dioxide Inorganic materials 0.000 description 8
- 238000005516 engineering process Methods 0.000 description 8
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- 238000010586 diagram Methods 0.000 description 1
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Abstract
The invention provides a low-carbon economic dispatching method of an electric coupling system considering natural gas network hydrogen loading, which comprises the following steps: the method comprises the steps of designing an electric coupling system model to comprise a carbon capture system sub-model, an electric power system sub-model, a coupling system sub-model, a natural gas system, a carbon transaction mechanism model and a demand response model, and determining output values of a thermal generator set, a wind generating set, a gas generating set, a P2H device and a P2M device in the electric coupling system by taking the minimum total cost as an optimization target through designing an objective function of the electric coupling system model considering demand response cost, carbon transaction cost, operation cost and wind abandoning cost as a dispatching optimization function, so that dispatching of the electric coupling system in the next dispatching cycle is completed. Therefore, the invention realizes the common reduction of the carbon emission of the system on the source side and the load side by designing the electric coupling system model and the dispatching optimization function thereof, and ensures the economy of the system.
Description
Technical Field
The invention relates to the technical field of electric coupling systems, in particular to a low-carbon economic dispatching method of an electric coupling system considering natural gas network hydrogen loading.
Background
The low-carbon transformation of an energy system is a current key problem, and the electric coupling system combined with the natural gas network hydrogen loading has important significance for renewable energy consumption and system overall carbon reduction. The traditional thermal power generating unit is mainly used in the gas-electric coupling system containing hydrogen energy, the carbon emission level of the thermal power generating unit is high, carbon dioxide is directly recovered and absorbed by utilizing a carbon capture technology in source measurement to play a role in reducing carbon, but the role of hydrogen energy is not fully played in an optimized operation mode of the gas-electric coupling system considering carbon capture, namely, the efficiency of wind power absorption can be improved by utilizing an electric hydrogen production and natural gas net hydrogen-adding technology, and the operation cost is saved; meanwhile, the load carbon reduction potential is mobilized by utilizing the demand response on the load side, and the carbon emission of the system is further reduced. Therefore, there is a need to optimize the operation of an electrical coupling system incorporating natural gas network loading to achieve a common reduction in system carbon emissions on both source and load sides and to ensure system economics.
Disclosure of Invention
Based on the problems to be solved in the prior art, the invention provides a low-carbon economic dispatching method for an electric coupling system for taking hydrogen loading of a natural gas network into account, and the method optimizes the operation mode of the electric coupling system for hydrogen loading of the natural gas network so as to realize the common reduction of the carbon emission of the system on the source side and the load side and ensure the economical efficiency of the system.
The invention provides a low-carbon economic dispatching method of an electric coupling system considering natural gas network hydrogen loading, which comprises the following steps:
s1: acquiring a wind power predicted value, an electric load and an air load of an electric coupling system in a current dispatching cycle;
s2: determining output values of a thermal generator set, a wind power generator set, a gas generator set, a P2H device and a P2M device in an electric coupling system according to a wind power predicted value, an electric load and a gas load in a current dispatching period and by taking the minimum total cost of an electric coupling system model considering demand response cost, carbon transaction cost, operation cost and wind abandoning cost as an optimization target;
s3: and dispatching the electric coupling system in the next dispatching cycle according to the output values of the thermal generator set, the wind generator set, the gas generator set, the P2H device and the P2M device in the electric coupling system.
In one embodiment, the electrical coupling system model includes: a carbon capture system sub-model, a power system sub-model, a coupling system sub-model, a natural gas system sub-model, a carbon trading mechanism sub-model, and a demand response sub-model.
In this way, the low-carbon economic dispatching method for the electric coupling system considering the hydrogen loading of the natural gas network provided by the invention is characterized in that the electric coupling system model is designed to comprise a carbon capture system sub-model, an electric power system sub-model, a coupling system sub-model, a natural gas system, a carbon transaction mechanism model and a demand response model, and the electric coupling system of the next dispatching cycle is dispatched by taking the objective function of the electric coupling system model considering the demand response cost, the carbon transaction cost, the operation cost and the wind abandoning cost as the dispatching optimization function and taking the lowest total cost as the optimization target, so that the output values of a thermal generator set, a wind generator set, a gas generator set, a P2H device and a P2M device in the electric coupling system are determined. Therefore, the invention realizes the common reduction of the carbon emission of the system on the source side and the load side by designing the electric coupling system model and the dispatching optimization function thereof, and ensures the economy of the system.
Description of the drawings:
FIG. 1 is a schematic flow chart of the method of the present invention;
FIG. 2 is a diagram of a test architecture of an electrical coupling system provided by the present invention;
FIG. 3 is a graph of test data of wind power predicted values, electric loads and air loads of the electric coupling system.
Detailed Description
The invention is described in further detail below with reference to the accompanying drawings and specific examples. It should not be construed that the scope of the above subject matter of the present invention is limited to the following embodiments, and all techniques realized based on the present invention are within the scope of the present invention.
In one embodiment of the present invention, as shown in fig. 1, the present invention provides a low-carbon economic dispatch method for an electrical coupling system for accounting for natural gas network hydrogen loading, comprising the steps of:
s1: acquiring a wind power predicted value, an electric load and an air load of an electric coupling system in a current dispatching cycle;
s2: determining output values of a thermal generator set, a wind power generator set, a gas generator set, a P2H device and a P2M device in an electric coupling system according to a wind power predicted value, an electric load and a gas load in a current dispatching period and by taking the minimum total cost of an electric coupling system model considering demand response cost, carbon transaction cost, operation cost and wind abandoning cost as an optimization target;
s3: and dispatching the electric coupling system in the next dispatching cycle according to the output values of the thermal generator set, the wind generator set, the gas generator set, the P2H device and the P2M device in the electric coupling system.
Wherein the electrical coupling system model comprises: a carbon capture system sub-model, a power system sub-model, a coupling system sub-model, a natural gas system sub-model, a carbon trading mechanism sub-model, and a demand response sub-model.
In particular, it is contemplated that the energy of use of the carbon capture system is largely divided into two portions. Firstly, fixed loss is caused by the structural change of a power plant due to the addition of a carbon capture system; and secondly, the operation loss is changed along with the trapping workload. Thus, the carbon capture system submodel is configured to:
wherein P is CCS,all,t Total energy consumption for the carbon capture system; p (P) fixed Is fixed energy consumption; p (P) run,t For the operation energy consumption; p (P) unit And the energy consumption for regenerating CO2 in unit mass.
Also, in the carbon trapping system, lean and rich tank modeling expressions are as follows:
wherein: v (V) full,t 、V few,t 、V full,in,t 、V few,in,t 、V full,out,t 、V few,out,t The storage capacity, inflow volume flow and outflow volume flow of the rich liquid tank and the lean liquid tank in the period t respectively;
it is assumed that the volume of CO2 that can be absorbed in the rich tank is 25 times the volume of the rich solution.
Wherein: alpha CCS Is the efficiency of the carbon capture system; c (C) CCS,ab The mass of CO2 absorbed by the carbon capture system; c (C) rebir Is the mass produced by the regeneration tower in the carbon capture system.
Specifically, the power system submodel is configured to:
the direct current power flow constraint conditions of the power system are set as follows:
wherein,is the branch power; a and->The matrix is a branch admittance coefficient matrix and a branch admittance coefficient diagonal matrix respectively; f (F) lb For associating moments with branch nodesAn array; p (P) tp (t)、P wind (t)、P gt (t)、P pth (t)、P ptm (t) and P pload (t) power vectors of node loads of each thermal generator set, each wind generator set, each gas generator set, each P2H device, each P2M device and each power system in the t period;
and setting node active power balance constraint conditions as follows:
wherein N is th 、N wi 、N gt 、N pth 、N ptm And N pload The number of the thermal generator set, the wind generator set, the gas generator set, the P2H device, the P2M device and the load nodes are respectively; p (P) tp,ψ (t) is the output power of t period thermal generator set ψ, P wind,σ (t) is the output power of the wind generating set sigma in the period t, P gt,μ (t) is the output power of the gas generator set mu in the period t, P pth,γ (t) output power of the P2H device gamma in t period, P ptm,ξ (t) output power of the P2M device ζ in t period, P pload,v (t) is the output power of the wind generating set v in the period t;
the set phase angle constraint conditions are:
wherein,is the phase angle at the power system node b; />Is the phase angle maximum at node b;
the constraint conditions of the transmission capacity of the line are set as follows:
wherein,the maximum transmission capacity of the power system line is set;
setting the output constraint condition of the thermal generator set as
M tp,ψ (t)P tp,ψmin ≤P tp,ψ (t)≤M tp,ψ (t)P tp,ψmax
Wherein M is tp,ψ (t) is an operation state variable of the thermal generator set in the t period, wherein 1 is taken to represent the start of the set, and 0 is taken to represent the stop of the set; p (P) tp,ψmax And P tp,ψmin The upper and lower limits of the output of the thermal generator set psi are respectively set;
the fan output constraint conditions are set as follows:
P wind,σmin ≤P wind,σ (t)≤P wind , σmax
wherein P is wind,σmax 、P wind,σmin The upper and lower limits of the output of the wind turbine generator sigma are respectively set;
the starting and stopping constraint conditions of the thermal generator set are set as follows:
wherein,the accumulated starting time and the accumulated closing time of the thermal generator set psi-t-1 period are respectively; />The method is characterized in that the method comprises the steps of respectively carrying out minimum starting and minimum shutdown on a thermal generator set psi;
setting climbing constraint conditions of the thermal generator set as follows:
wherein,the landslide and climbing speed limit of the thermal generator set psi are respectively set.
Specifically, the coupling system submodel is configured to:
the coupling constraint conditions of the P2M device and the P2H device are set as follows:
P ptm,ξ (t)＝G ptm,ξ (t)H gas,m η ptm,ξ ；
P pth,γ (t)＝G pth,γ (t)H gas,h η pth,γ ；
wherein G is ptm,ξ (t) is the gas flow rate of methane produced by the P2M device ζ during the period t; h gas,m Is the high heating value of methane; η (eta) ptm,ξ Conversion efficiency for P2M device ζ; g pth,γ (t) the gas flow rate of the hydrogen gas produced by the P2H device γ for the period t; h gas,h Is the high heating value of hydrogen; η (eta) pth,γ Conversion efficiency for P2H device γ;
and setting the output constraint conditions of the P2M device and the P2H device as follows:
P ptm,ξmin ≤P ptm,ξ (t)≤P ptm,ξmax ；
P pth,γmin ≤P pth,γ (t)≤P pth,γmax ；
wherein P is ptm,ξ (t) and P ptm,ξmax 、P ptm,ξmin The power consumption of the P2M device xi in the t period and the upper limit and the lower limit of the power consumption are respectively; p (P) pth,γ (t) and P pth,γmax 、P pth,γmin The power consumption of the device gamma is respectively t time periods P2H, and the upper limit and the lower limit of the power consumption are respectively set.
Specifically, the gas network power flow is modeled by using a Weymouth equation, and the natural gas system submodel is configured as follows:
wherein G is w,n (t)、G pth,γ (t)、G ptm,ξ (t)、G gt,μ (t) and->The outflow of the natural gas source n, the outflow of the P2H device gamma, the outflow of the P2M device zeta, the inflow of the pipeline yy ', the outflow of the pipeline yy', the gas consumption of the gas unit mu and the node->A load value; />The gas consumption flow of the compressor is t time period; the air network tide constraint is nonlinear constraint;
and setting pipe storage constraint conditions as follows:
wherein L is yy′ (t) is the pipe store of the t-period pipe yy'; omega yy′ Is the characteristic coefficient of the pipeline yy'; l (L) yy′,st 、L yy′,ov Buffering the pipeline yy' in an initial period and a termination period respectively;
setting the constraint condition of the compressor as
Wherein beta is gc,j The energy conversion coefficient of the compressor j; η (eta) gc,j The working efficiency of the compressor j;the output node pressure and the input node pressure of the compressor j are respectively; delta is the polytropic coefficient of the compressor;
the constraint conditions of the hydrogen mixing proportion are set as follows:
wherein,is the limit of the hydrogen mixing proportion of the gas net.
In particular, reference is made to the generally used gratuitous dispensing means. The main equipment for discharging CO2 in the system is a conventional thermal power unit, a carbon capture thermal power unit and a natural gas unit. The actual carbon emission of the system can be divided into two parts, and the carbon emission generated by the operation of the gas unit and the thermal unit. Wherein, the carbon emission of the thermal unit is divided into CO2 quantity C directly emitted in the smoke diversion link SMO The method comprises the steps of carrying out a first treatment on the surface of the And the amount C of CO2 indirectly discharged due to the efficiency problem of the operation process of the carbon capture equipment CCS,ind 。
Therefore, the total carbon emission allowance amount C of the system quota And net carbon emission C of the system pursum The calculation method is as follows:
wherein C is GT Carbon emissions for gas systems in systemsAn amount of; c (C) TP The total carbon emission generated before the thermal unit goes through a carbon emission system; beta T ′ P 、β G ′ T The unit output carbon emission quota amount of the thermal unit and the natural gas unit is set; p (P) TP,t 、P GT,t The output power of the thermal unit and the gas unit in the t period is; beta TP 、β GT Carbon emission coefficients of the thermal unit and the gas unit respectively; alpha CCS Is the efficiency of the carbon capture system.
Then, the actual participation in the punishment calculation of the carbon emission amount C count The calculation method is as follows:
C count ＝C quota -C pursum
therefore, the ladder-type carbon transaction mechanism submodel designed by the invention is configured as follows:
wherein M is cbuy Cost for carbon trade; m is M base A base price for the carbon trade; m is M awa A base price for the reward; phi (phi) awa A bonus coefficient, i.e., a bonus amplitude that increases with the amount of carbon emissions from the multiple sections of about unit intervals; phi (phi) pun For penalty factor, i.e. CO in unit interval following excessive emissions 2 Quantity, and add the magnitude of punishment; gamma is the interval of carbon emission;
specifically, consider the power change before and after demand response, then configure the demand response submodel to:
wherein,actual power of the electrical load for a period t; />The electric load power before the demand response occurs for the period t; />Interruptible load power in the electrical load demand response for the period t; />Transferable load power in the electrical load demand response for the period t; />Alternative load power in the electrical load demand response for the period t; />The actual power of the gas load is t time period; />The gas load power before the demand response occurs for the period t; />Alternative load power in the air load demand response for period t;
and considering the interruptible electric load means that an economic agreement is signed between an electric company and a user, and then under the condition that the load is at a peak value or other emergency conditions, the user interrupts the electricity according to the agreement and is correspondingly compensated. Thus, the constraint that the electrical load can be interrupted is set as follows:
wherein,interruptible electrical load power occupancy for t-periodThe proportion of electrical load power before demand response; />Is the upper limit power of the interruptible load;
meanwhile, it is considered that the transferable load means that the total load demand is unchanged for a fixed period of time, but the load electricity utilization period is allowed to be adjusted. Thus, the constraint that the electrical load can be transferred is set as follows:
wherein,the transferable electric load power is a proportion of the demand-response electric load power.
Specifically, the electric coupling system model taking the demand response cost, the carbon transaction cost, the operation cost and the wind abandoning cost into consideration takes the minimum total cost as an optimization target, and therefore, the objective function of the electric coupling system model is as follows:
wherein C is dr To respond to the demand for cost, C tp C is the running cost of the thermal power generating unit gt For the running cost of the gas unit, C wind In order to discard the cost of the wind,compensation cost per unit of interruption of the electrical load, +.>Compensating costs for shifting electrical load units, P TP,ψ For the total energy consumption of the thermal power plant including the carbon-containing capturing plant, < >>The starting and stopping costs of the thermal generator set ψ are respectively, the starting and stopping costs of the gas generator set mu are respectively +.>A state variable for starting up and shutting down the thermal generator set ψ; />C is a state variable of power on and power off of the gas generator set mu we The gas source purchasing cost is C we,n (t) is the natural gas source n unit gas purchasing cost, P w ′ ind,σ (t) is the abandoned wind power of the wind generating set sigma in the period t, C wind,σ And (t) is the unit wind curtailment cost of the wind generating set sigma of the period t.
In order to further explain the invention, the source side and the load side can jointly reduce the carbon emission of the system and ensure the economy of the system by designing the electric coupling system model and the dispatching optimization function thereof. Aiming at the existing electric coupling system, according to the technical route of the scheme, the optimal power distribution network reconstruction scheme in the IES can be obtained, as shown in figure 2; meanwhile, 4 scenes are respectively set for carrying out scheduling result simulation analysis by using wind power predicted values, electric loads and air loads of the electric coupling system shown in fig. 3 as data bases, namely scene 1: neither carbon capture technology nor demand response mechanisms are considered; scene 2: carbon capture technology is considered but demand response mechanisms are not considered; scene 3: taking carbon trapping technology and a demand response mechanism into consideration, and taking electro-hydrogen production and natural gas hydrogen mixing into consideration; scene 4: carbon capture and demand response mechanisms are considered, but electrical and natural gas hydrogen blending are not considered.
Table 1: scheduling results for scenarios 1-4
From the scheduling results of the above scenes 1 to 4, it is clear that the air volume of the scene 2 is reduced by 310.9MW h, the carbon emission is reduced by 266.2t, and the total cost is reduced by 33311 yuan. The thermal power generating unit is characterized in that after the liquid storage type carbon capture is added, a part of the thermal power generating unit has fixed loss and running loss of the output supply carbon capture, so that the thermal power generating unit can provide a lower output lower limit on the power conservation side, and more margin is provided for wind power absorption. Meanwhile, carbon capture provides CO2 for P2M, so that the carbon emission of the system is reduced, more electric conversion gas is generated, the gas cost is saved, and the total cost is further saved.
Scene 3 reduced the wind by 61.9% relative to scene 2, the total cost reduced 452491 yuan, and the carbon emissions reduced 328.5t. When the demand response is considered, the load is transferred to the period with the waste wind, namely the waste wind is consumed, the output of the thermal unit is reduced, the carbon emission is reduced, and meanwhile, the total cost is saved. In summary, the electrical coupling system has better low-carbon economy after combining carbon capture and demand response.
Meanwhile, compared with the total cost of the scene 2, the total cost of the scene 4 is increased by 548751 yuan, the air discarding quantity is increased by 1330.9 MW.h, and the carbon emission is reduced to a certain extent. In the scene 3, the electro-hydrogen production combined natural gas net hydrogen-adding technology has higher energy conversion capability, when the system consumes wind power, the electro-hydrogen production technology is preferentially utilized to output, and the electro-methane conversion output is less; meanwhile, the wind power output is efficiently consumed by the electric hydrogen production, the wind discarding cost is reduced, the hydrogen energy with lower comprehensive unit price is generated, and the energy running cost is saved. Meanwhile, table 3 shows the wind power output conditions of two scenes 01:00-03:00, and the wind power consumption of scene 4 is smaller than that of scene 3, so that the NGECS taking the hydrogen energy into consideration has the capability of more efficiently consuming the abandoned wind in the load low-valley period, and further the gas cost is saved. In conclusion, the electric hydrogen production and natural gas net hydrogen-adding technology provides stronger wind power absorption capability for the system, and meanwhile, the operation cost is saved.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the invention.
Claims (9)
1. The low-carbon economic dispatching method of the electric coupling system considering the hydrogen loading of the natural gas network is characterized by comprising the following steps of:
s1: acquiring a wind power predicted value, an electric load and an air load of an electric coupling system in a current dispatching cycle;
s2: determining output values of a thermal generator set, a wind power generator set, a gas generator set, a P2H device and a P2M device in an electric coupling system according to a wind power predicted value, an electric load and a gas load in a current dispatching period and by taking the minimum total cost of an electric coupling system model considering demand response cost, carbon transaction cost, operation cost and wind abandoning cost as an optimization target;
s3: and dispatching the electric coupling system in the next dispatching cycle according to the output values of the thermal generator set, the wind generator set, the gas generator set, the P2H device and the P2M device in the electric coupling system.
2. The method for low carbon economic dispatch of an electrical coupling system for hydrogen loading of a natural gas network of claim 1, wherein in step S2, the electrical coupling system model comprises: a carbon capture system sub-model, a power system sub-model, a coupling system sub-model, a natural gas system sub-model, a carbon trading mechanism sub-model, and a demand response sub-model.
3. The method of low-carbon economic dispatch for an electrical coupling system that accounts for natural gas network loading of claim 2, wherein the carbon capture system submodel is configured to:
wherein P is CCS,all,t Total energy consumption for the carbon capture system; p (P) fixed Is fixed energy consumption; p (P) run,t For the operation energy consumption; p (P) unit And the energy consumption for regenerating CO2 in unit mass.
4. The method of low-carbon economic dispatch for an electrical coupling system that accounts for natural gas network loading of claim 2, wherein the power system sub-model is configured to:
wherein,is the branch power; a and->The matrix is a branch admittance coefficient matrix and a branch admittance coefficient diagonal matrix respectively; f (F) lb The branch node incidence matrix is adopted; p (P) tp (t)、P wind (t)、P gt (t)、P pth (t)、P ptm (t) and P pload (t) power vectors of node loads of each thermal generator set, each wind generator set, each gas generator set, each P2H device, each P2M device and each power system in the t period;
and setting node active power balance constraint conditions as follows:
wherein N is th 、N wi 、N gt 、N pth 、N ptm And N pload The number of the thermal generator set, the wind generator set, the gas generator set, the P2H device, the P2M device and the load nodes are respectively; p (P) tp,ψ (t) is the output power of t period thermal generator set ψ, P wind,σ (t) is the output power of the wind generating set sigma in the period t, P gt,μ (t) is the output power of the gas generator set mu in the period t，P pth,γ (t) output power of the P2H device gamma in t period, P ptm,ξ (t) output power of the P2M device ζ in t period, P pload,v (t) is the output power of the wind generating set v in the period t;
the set phase angle constraint conditions are:
wherein,is the phase angle at the power system node b; />Is the phase angle maximum at node b;
the constraint conditions of the transmission capacity of the line are set as follows:
wherein,the maximum transmission capacity of the power system line is set;
setting the output constraint condition of the thermal generator set as
M tp,ψ (t)P tp,ψmin ≤P tp,ψ (t)≤M tp,ψ (t)P tp , ψmax
Wherein M is tp,ψ (t) is an operation state variable of the thermal generator set in the t period, wherein 1 is taken to represent the start of the set, and 0 is taken to represent the stop of the set; p (P) tp,ψmax And P tp,ψmin The upper and lower limits of the output of the thermal generator set psi are respectively set;
the fan output constraint conditions are set as follows:
P wind,σmin ≤P wind,σ (t)≤P wind,σmax
wherein P is wind,σmax 、P wind,σmin The upper and lower limits of the output of the wind turbine generator sigma are respectively set;
the starting and stopping constraint conditions of the thermal generator set are set as follows:
wherein,the accumulated starting time and the accumulated closing time of the thermal generator set psi-t-1 period are respectively; />The method is characterized in that the method comprises the steps of respectively carrying out minimum starting and minimum shutdown on a thermal generator set psi;
setting climbing constraint conditions of the thermal generator set as follows:
wherein,the landslide and climbing speed limit of the thermal generator set psi are respectively set.
5. The method for low-carbon economic dispatch of an electrical coupling system for accounting for natural gas network loading as recited in claim 2, wherein the coupling system submodel is configured to:
P ptm,ξ (t)＝G ptm,ξ (t)H gas,m η ptm , ξ ；
P pth,γ (t)＝G pth,γ (t)H gas,h η pth,γ ；
wherein G is ptm,ξ (t) is the gas flow rate of methane produced by the P2M device ζ during the period t; h gas,m Is the high heating value of methane; η (eta) ptm,ξ Conversion efficiency for P2M device ζ; g pth,γ (t) the gas flow rate of the hydrogen gas produced by the P2H device γ for the period t; h gas,h Is the high heating value of hydrogen; η (eta) pth,γ Conversion efficiency for P2H device γ;
and setting the output constraint conditions of the P2M device and the P2H device as follows:
P ptm,ξmin ≤P ptm,ξ (t)≤P ptm,ξmax ；
P pth,γmin ≤P pth,γ (t)≤P pth,γmax ；
wherein P is ptm,ξ (t) and P ptm,ξmax 、P ptm,ξmin The power consumption of the P2M device xi in the t period and the upper limit and the lower limit of the power consumption are respectively; p (P) pth,γ (t) and P pth,γmax 、P pth,γmin The power consumption of the device gamma is respectively t time periods P2H, and the upper limit and the lower limit of the power consumption are respectively set.
6. The method for low-carbon economic dispatch of an electrical coupling system accounting for natural gas network loading of claim 2, the natural gas system submodel configured to:
wherein G is w,n (t)、G pth,γ (t)、G ptm,ξ (t)、G gt,μ (t) and->The outflow of the natural gas source n, the outflow of the P2H device gamma, the outflow of the P2M device zeta, the inflow of the pipeline yy ', the outflow of the pipeline yy', the gas consumption of the gas unit mu and the node->A load value; />The gas consumption flow of the compressor is t time period; the air network tide constraint is nonlinear constraint;
and setting pipe storage constraint conditions as follows:
wherein L is yy′ (t) is the pipe store of the t-period pipe yy'; omega yy′ Is the characteristic coefficient of the pipeline yy'; l (L) yy′,st 、L yy′,ov Buffering the pipeline yy' in an initial period and a termination period respectively;
setting the constraint condition of the compressor as
Wherein beta is gc,j The energy conversion coefficient of the compressor j; η (eta) gc,j The working efficiency of the compressor j;output nodes of the compressors j respectivelyPressure and input node pressure; delta is the polytropic coefficient of the compressor;
the constraint conditions of the hydrogen mixing proportion are set as follows:
wherein,is the limit of the hydrogen mixing proportion of the gas net.
7. The method for low-carbon economic dispatch of an electrical coupling system accounting for natural gas network loading of claim 2, the carbon transaction mechanism model configured to:
wherein M is cbuy Cost for carbon trade; m is M base A base price for the carbon trade; m is M awa A base price for the reward; phi (phi) awa A bonus coefficient, i.e., a bonus amplitude that increases with the amount of carbon emissions from the multiple sections of about unit intervals; phi (phi) pun For penalty factor, i.e. CO in unit interval following excessive emissions 2 Quantity, and add the magnitude of punishment; gamma is the interval of carbon emission;
wherein, the actual carbon emission C participates in punishment and punishment calculation count The calculation method is as follows:
C count ＝C quota -C pursum
also, total carbon emission allowance of system C quota And net carbon emission C of the system pursum The calculation method is as follows:
wherein C is GT Carbon emission generated by a fuel gas system in the system; c (C) TP The total carbon emission generated before the thermal unit goes through a carbon emission system; beta' TP 、β′ GT The unit output carbon emission quota amount of the thermal unit and the natural gas unit is set; p (P) TP,t 、P GT,t The output power of the thermal unit and the gas unit in the t period is; beta TP 、β GT Carbon emission coefficients of the thermal unit and the gas unit respectively; alpha CCS Is the efficiency of the carbon capture system.
8. The method for low-carbon economic dispatch of an electrical coupling system accounting for natural gas network loading of claim 2, the demand response sub-model configured to:
wherein,actual power of the electrical load for a period t; />The electric load power before the demand response occurs for the period t; />Interruptible load power in the electrical load demand response for the period t; />Transferable load power in the electrical load demand response for the period t; />Alternative load power in the electrical load demand response for the period t; />The actual power of the gas load is t time period; />The gas load power before the demand response occurs for the period t; />Alternative load power in the air load demand response for period t;
and, setting constraints of the interruptible electrical load as follows:
wherein,the proportion of the interruptible electrical load power to the electrical load power before demand response for the period t; />To an upper limit of interruptible loadA power;
the constraint conditions for the transferable electrical load are set as follows:
wherein,the transferable electric load power is a proportion of the demand-response electric load power.
9. The method for low carbon economic dispatch of an electrical coupling system for hydrogen loading into a natural gas network according to any one of claims 1 to 8, wherein the objective function of the electrical coupling system model is:
wherein C is dr To respond to the demand for cost, C tp C is the running cost of the thermal power generating unit gt For the running cost of the gas unit, C wind In order to discard the cost of the wind,compensation cost per unit of interruption of the electrical load, +.>Compensating costs for shifting electrical load units, P TP,ψ For the total energy consumption of the thermal power plant including the carbon-containing capturing plant, < >>Respectively thermal power generationThe start-up and shut-down costs of the unit ψ, < -> The starting and stopping costs of the gas generator set mu are respectively +.>A state variable for starting up and shutting down the thermal generator set ψ; />C is a state variable of power on and power off of the gas generator set mu we The gas source purchasing cost is C we,n (t) is the natural gas source n unit gas purchasing cost, P w ′ ind,σ (t) is the abandoned wind power of the wind generating set sigma in the period t, C wind,σ And (t) is the unit wind curtailment cost of the wind generating set sigma of the period t. />
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