CN114781756A - Low-carbon optimized scheduling considering wind-light-carbon capture-electricity-to-gas comprehensive energy system - Google Patents

Low-carbon optimized scheduling considering wind-light-carbon capture-electricity-to-gas comprehensive energy system Download PDF

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CN114781756A
CN114781756A CN202210575944.6A CN202210575944A CN114781756A CN 114781756 A CN114781756 A CN 114781756A CN 202210575944 A CN202210575944 A CN 202210575944A CN 114781756 A CN114781756 A CN 114781756A
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power
energy
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gas
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王瑞琪
梁慧媛
周琪
周卉
张旭
张晓峰
艾芊
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State Grid Shandong Integrated Energy Service Co ltd
Shanghai Jiaotong University
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Shanghai Jiaotong University
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Abstract

The invention discloses a low-carbon optimal scheduling method for a multi-energy complementary comprehensive energy system considering wind-light-carbon capture-electricity-to-gas combination, which comprises the following steps of: constructing a wind-light-carbon capture-electricity-to-gas combined comprehensive energy system which comprises a wind power unit, a photovoltaic unit, a thermal power unit, a carbon capture system, a CCHP unit, a gas boiler, an energy storage device, an electric refrigeration device and an electricity-to-gas device; considering that the comprehensive energy system participates in a carbon trading market, and establishing a low-carbon optimization scheduling model of the comprehensive energy system with multiple complementary functions; solving an optimization result of the low-carbon optimization scheduling model; according to the optimization result, the power of the energy consumption provided by the wind-solar power generation to the carbon capture system is adjusted, the flexible scheduling of the wind-solar power generation is realized, and the carbon dioxide captured in the carbon capture process is used for converting electricity into gas, so that the energy utilization rate is improved. The wind-light-carbon capture-electricity-to-gas combination and the complementation of various energy sources of the system realize wind-light absorption and low-carbon emission reduction under the condition of keeping economy.

Description

Low-carbon optimized scheduling considering wind-light-carbon capture-electricity-to-gas comprehensive energy system
Technical Field
The invention relates to the technical field of low-carbon optimal scheduling of an integrated energy system, in particular to a low-carbon optimal scheduling method of a multi-energy complementary integrated energy system considering wind-light-carbon capture-electricity-to-gas combination.
Background
The power industry is used as the main body of energy consumption, the carbon emission amount of the power industry accounts for a large proportion of the total carbon emission amount, and the aim of accelerating the carbon emission reduction by realizing low-carbon power is expected. Multiple energy sources are coupled in the comprehensive energy system for combined supply, and the multi-energy load requirements of the terminal can be met. The development of a comprehensive energy system with multiple complementary functions plays an important role in realizing low carbon emission reduction and improving the energy utilization rate.
At present, partial research focuses on multi-energy complementation and low-carbon emission reduction strategies of a comprehensive energy system. Li Xiaozhu et al, published in "Applied Energy" volume 285 (2021), entitled "Hybrid time-scale Energy engineering scheduling for integrated Energy system with bipolar interaction with supply and demand", considered the multipotent coupling and economy of the integrated Energy system, but did not consider the low carbon. Li Peng et al, published in volume 43, No. 14, No. 81-89 (2019), entitled "regional comprehensive energy system optimization operation analysis based on repeated game" establishes repeated game model of microgrid and power distribution network, and results inCO with equivalent carbon emission coefficient2The emission cost is included in the economic cost, but the guide effect of the carbon trading market on low carbon is not exerted. WANG Yonggli et al, published in Applied Energy, volume 251 (2019), entitled "Operation optimization of regional integrated Energy system based on the modeling of electric-thermal-natural gas network", introduced a carbon trading mechanism, proposed a comprehensive Energy system optimization scheduling model taking into account carbon trading cost, but did not reduce system carbon emissions by means of carbon capture, electric gas conversion, and other measures. The problem of wind-light-water-electricity complementary characteristic is utilized in the text of wind-light-water-fire multi-energy complementary system random optimization scheduling, which is published in the electric measurement and instrument 57, volume 16, pages 51-58 of Yiyue et al, and the problem of wind and light abandonment still exists.
Therefore, the technical personnel in the field are dedicated to develop a low-carbon optimal scheduling method of the multi-energy complementary comprehensive energy system considering wind-light-carbon capture-electricity-to-gas combination, and wind-light-carbon capture-electricity-to-gas combination and the complementation of multiple energy sources of the system are utilized to realize wind-light absorption and low-carbon emission reduction under the condition of keeping economy.
Disclosure of Invention
In view of the above defects in the prior art, the technical problem to be solved by the present invention is how to study the renewable energy consumption and low-carbon optimal scheduling problem of the multi-energy complementary integrated energy system.
In order to achieve the aim, the invention provides a low-carbon optimal scheduling method for a multi-energy complementary comprehensive energy system considering wind-light-carbon capture-electricity-to-gas combination, which comprises the following steps:
step 1, constructing a wind-light-carbon capture-electricity-to-gas combined comprehensive energy system, wherein the comprehensive energy system comprises wind power, photovoltaic and thermal power units, a carbon capture system, a CCHP unit, a gas boiler, energy storage equipment, electric refrigeration equipment and electricity-to-gas equipment;
step 2, considering the participation of the comprehensive energy system in a carbon trading market, and establishing a low-carbon optimization scheduling model of the comprehensive energy system with multiple complementary functions;
step 3, solving an optimization result of the low-carbon optimization scheduling model;
and 4, according to the optimization result, by adjusting the power of the energy consumption provided by the wind-solar power generation to the carbon capture system, the flexible scheduling of the wind-solar power generation is realized, and the carbon dioxide captured in the carbon capture process is used for converting electricity into gas, so that the energy utilization rate is improved.
Further, the energy storage device in the step 1 includes an electricity storage device, a heat storage device and a cold storage device.
Further, the CCHP unit in the step 1 comprises an internal combustion engine, a waste heat boiler and a lithium bromide refrigerating unit.
Further, the low-carbon optimized scheduling model in the step 2 takes the lowest comprehensive operation cost as an objective function, and the comprehensive operation cost includes carbon transaction cost, power generation equipment operation cost, electricity purchasing cost, gas purchasing cost, and energy storage charging and discharging cost.
Further, the carbon trading cost is formed by carbon trading costs of a thermal power generating unit and a CCHP unit, and the carbon trading costs of the thermal power generating unit and the CCHP unit are determined by carbon emission and carbon allocation.
Further, the carbon content quota of the thermal power generating unit and the CCHP unit is expressed as follows:
Figure BDA0003660425410000021
in the formula (I), the compound is shown in the specification,
Figure BDA0003660425410000022
Figure BDA0003660425410000023
Figure BDA0003660425410000024
carbon quota, sigma, of carbon capture unit and CCHP unit at time tG、σCCHPCarbon emission quotas of unit electric quantity of the carbon trapping unit and the CCHP unit respectively,
Figure BDA0003660425410000025
for the net power generation of the carbon capture unit at time t,
Figure BDA0003660425410000026
is the equivalent power generation output of the carbon capture unit at the time t,
Figure BDA0003660425410000027
for the carbon capture energy consumption provided by the thermal power at the time t,
Figure BDA0003660425410000028
the electric power output by the CCHP unit at the time T, T is a scheduling period, dT is a time interval,
Figure BDA0003660425410000029
inputting the natural gas quantity, eta, of the CCHP unit for the time tEFor the electrical efficiency of the CCHP plant, hgasIs natural gas with low heat value;
the carbon emissions of the thermal power generating unit and the CCHP unit are expressed as follows:
Figure BDA00036604254100000210
in the formula (I), the compound is shown in the specification,
Figure BDA0003660425410000031
carbon emission of CCHP unit at time t, lambdaG、λCCHPThe carbon emission intensity of the carbon capture unit and the CCHP unit is respectively the carbon emission intensity of the unit output.
Further, the carbon trading cost is expressed as follows:
Figure BDA0003660425410000032
in the formula, ccIs the carbon transaction cost factor.
Further, the power plant operating cost is expressed as follows:
Figure BDA0003660425410000033
in the formula, cYIs an operating cost factor per unit of electricity,
Figure BDA0003660425410000034
the generated power of the generating equipment at the moment t;
the electricity purchase cost is expressed as follows:
Figure BDA0003660425410000035
in the formula (I), the compound is shown in the specification,
Figure BDA0003660425410000036
is the electricity price at the time of the t,
Figure BDA0003660425410000037
the power purchasing power at the t moment;
the gas purchase cost is expressed as follows:
Figure BDA0003660425410000038
in the formula, cgIn order to achieve the price of the natural gas,
Figure BDA0003660425410000039
the natural gas amount consumed at the moment t;
the energy storage charging and discharging cost is expressed as follows:
Figure BDA00036604254100000310
in the formula, cesThe cost coefficient of charging and discharging the energy for energy storage,
Figure BDA00036604254100000311
the charging and discharging energy powers, eta, of the energy storage equipment at the moment tech、ηedisRespectively for the charging and discharging efficiency of the energy storage device.
Further, the constraint conditions of the low-carbon optimized scheduling model in the step 2 include:
electric power balance constraint:
Figure BDA00036604254100000312
in the formula (I), the compound is shown in the specification,
Figure BDA00036604254100000313
for the wind power on-line power at the time t,
Figure BDA00036604254100000314
for the photovoltaic grid-connected power at the time t,
Figure BDA00036604254100000315
for the discharge power of the electric storage device at time t,
Figure BDA00036604254100000316
charging power, L, for the energy storage device at time ttFor the power of the electrical load at time t,
Figure BDA00036604254100000317
for the energy consumption of the electric-to-gas conversion at the moment t,
Figure BDA00036604254100000318
the electric energy consumed by the electric refrigeration equipment at the moment t;
and thermal power balance constraint:
Figure BDA00036604254100000319
in the formula (I), the compound is shown in the specification,
Figure BDA00036604254100000320
respectively thermal power output by a CCHP unit at the time t and thermal power output by a gas boiler, HtThe thermal load power at time t;
cold power balance constraint:
Figure BDA00036604254100000321
in the formula (I), the compound is shown in the specification,
Figure BDA00036604254100000322
for the cold power output by the CCHP unit at time t,
Figure BDA00036604254100000323
for the cold power output by the electric refrigerating equipment at the moment t,
Figure BDA00036604254100000324
for the time t, the cold discharge power of the cold storage equipment,
Figure BDA00036604254100000325
charging cold power for cold storage equipment at time t, CtIs the cold load power at time t;
the inequality constraints of cold, hot and electric power are as follows:
Figure BDA0003660425410000041
in the formula (I), the compound is shown in the specification,
Figure BDA0003660425410000042
for the upper and lower limits of the generated power of the respective power generation equipment,
Figure BDA0003660425410000043
for thermal power of the heat-generating device at time t,
Figure BDA0003660425410000044
respectively for heat productionThe upper and lower limits of the thermal power of the backup power,
Figure BDA0003660425410000045
for the cold power of the refrigerating device at the moment t,
Figure BDA0003660425410000046
Figure BDA0003660425410000047
respectively the upper and lower limits of the cold power of the refrigeration equipment;
power purchase constraint:
Figure BDA0003660425410000048
in the formula (I), the compound is shown in the specification,
Figure BDA0003660425410000049
in order to obtain the upper limit of the power purchase,
Figure BDA00036604254100000410
the upper limit for electricity sales;
energy storage equipment restraint:
Figure BDA00036604254100000411
in the formula (I), the compound is shown in the specification,
Figure BDA00036604254100000412
respectively an energy charging state variable and an energy discharging state variable of the energy storage equipment at the moment t;
Figure BDA00036604254100000413
respectively charging upper and lower limits of energy storage equipment;
Figure BDA00036604254100000414
respectively the upper and lower limits of the energy release of the energy storage equipment,
Figure BDA00036604254100000415
for the state of capacity of the energy storage device at time t,
Figure BDA00036604254100000416
respectively an upper limit and a lower limit of the capacity of the energy storage equipment,
Figure BDA00036604254100000417
respectively, the beginning and end states of the capacity of the energy storage device.
Further, the constraint conditions of the low-carbon optimized scheduling model in the step 2 specifically include:
inequality constraint of wind power and photovoltaic unit
Figure BDA00036604254100000418
Figure BDA00036604254100000419
In the formula (I), the compound is shown in the specification,
Figure BDA00036604254100000420
the carbon capture power provided for the wind power at the moment t,
Figure BDA00036604254100000421
the carbon capture power provided for the photovoltaic at time t,
Figure BDA00036604254100000422
the power is predicted for the wind power at the time t,
Figure BDA00036604254100000423
predicting power for the photovoltaic at the time t;
inequality constraint of thermal power generating unit
Figure BDA00036604254100000424
In the formula (I), the compound is shown in the specification,
Figure BDA00036604254100000425
for the state variable of the thermal power generating unit at the time t,
Figure BDA00036604254100000426
are respectively the upper and lower limits of the generating power of the thermal power generating unit, delta PGThe ramp rate of the thermal power generating unit is obtained;
carbon capture inequality constraints:
Figure BDA0003660425410000051
in the formula, deltatThe flue gas split ratio at the time t,
Figure BDA0003660425410000052
for the carbon capture operation energy consumption at the moment t,
Figure BDA0003660425410000053
upper limit of energy consumption for carbon capture operation, Δ POPCarbon capture energy consumption ramp rate;
the inequality constraint of electricity-to-gas conversion:
Figure BDA0003660425410000054
in the formula (I), the compound is shown in the specification,
Figure BDA0003660425410000055
is the upper limit of energy consumption for electric gas conversion, Delta Pp2gThe electric-to-gas climbing rate is adopted;
inequality constraint of CCHP unit
Figure BDA0003660425410000056
In the formula (I), the compound is shown in the specification,
Figure BDA0003660425410000057
respectively the upper limit and the lower limit of the generating power of the CCHP unit，△PECCHPIs the generated power climbing rate of the CCHP unit,
Figure BDA0003660425410000058
respectively are the upper and lower limits of the thermal power output by the CCHP unit,
Figure BDA0003660425410000059
respectively are the upper limit and the lower limit of the thermal power of the gas-fired boiler,
Figure BDA00036604254100000510
the amount of natural gas, V, input into the gas boiler at time tgasmaxThe upper limit of the natural gas consumed by the CCHP unit and the gas boiler,
Figure BDA00036604254100000511
respectively is the upper and lower limits of the cold power output by the CCHP unit;
the inequality constraint of electric refrigeration:
Figure BDA00036604254100000512
in the formula (I), the compound is shown in the specification,
Figure BDA00036604254100000513
the energy consumption upper and lower limits of the electric refrigeration are set.
The beneficial effects of the invention are as follows:
the invention constructs a wind-light-carbon capture-electricity-to-gas combined system on the basis of the prior art, and realizes flexible scheduling of wind power and photovoltaic by adjusting the power provided by wind-light power generation for carbon capture, thereby promoting wind-light absorption; the carbon dioxide captured in the carbon capture process is used for converting electricity into gas, and the energy utilization rate is improved. The comprehensive energy system is considered to participate in the carbon trading market, the carbon trading mechanism is used for guiding the comprehensive energy system to play a role of a prime force in energy conservation and emission reduction, and the carbon emission of the system is fully reduced through the combination of carbon capture and electric gas conversion equipment, so that low carbon emission reduction is realized and energy is improved.
Drawings
FIG. 1 is a preferred embodiment of the invention of a multi-energy complementary integrated energy system framework;
FIG. 2 is a time of use electricity price for a preferred embodiment of the present invention;
FIG. 3 is a diagram illustrating the scheduling results of the power system according to a preferred embodiment of the present invention;
FIG. 4 illustrates the scheduling results of the thermal system according to a preferred embodiment of the present invention;
FIG. 5 is a preferred embodiment of the present invention for scheduling the cold power system;
FIG. 6 is a carbon capture energy consumption for a preferred embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings for clarity and understanding of technical contents. The present invention may be embodied in many different forms of embodiments and the scope of the invention is not limited to the embodiments set forth herein.
The invention researches the renewable energy consumption and low-carbon optimization scheduling problems of the multi-energy complementary comprehensive energy system. Firstly, a wind-solar-carbon capture-electricity-to-gas combined system is established, flexible scheduling of wind-solar power generation is realized by adjusting power supplied to carbon capture energy consumption by wind-solar power generation, carbon dioxide captured in the carbon capture process is used for electricity-to-gas, and the energy utilization rate is improved; and secondly, constructing a multi-energy complementary comprehensive energy system model by relying on technologies such as carbon capture, electricity-to-gas, renewable energy Power generation, Combined Cooling, Heating and Power (CCHP), energy storage and the like. And finally, considering that the comprehensive energy system participates in a carbon trading market, guiding the energy industry to play a role of a prime force in energy conservation and emission reduction through a carbon trading mechanism, and establishing a low-carbon optimized scheduling model of the multi-energy complementary comprehensive energy system.
1. Multi-energy complementary comprehensive energy system model
The multi-energy complementary comprehensive energy system framework is shown in fig. 1. In the system, internal combustion engines in a thermal power generating unit, a wind power generating unit, a photovoltaic unit and CCHP provide electric energy, and energy storage and peak shaving are combined to meet the electric load requirement; the energy consumption of carbon capture is provided by wind power, photovoltaic and thermal power, and carbon dioxide in the capture process is used for the electricity-to-gas process, so that the energy utilization rate is improved. An internal combustion engine and a Gas Boiler (Gas Boiler, GB) in the CCHP provide heat energy, and heat is stored in a combined manner, so that the heat load requirement is met. Waste heat of an internal combustion engine in the CCHP is provided for a Lithium Bromide refrigerating unit (LBR) to be used for refrigerating, and an electric refrigerating device also provides Refrigeration, and a cold storage device is combined to meet the cold load requirement. Cold, hot, electrical energy storage devices within an Integrated Energy System (IES) may store energy, enabling time-shifting of energy.
2. Wind-light-carbon capture-electricity-to-gas combined system
The thermal power generating unit and the carbon capture system are combined to form the carbon capture unit. The carbon capture energy consumption mainly includes basic energy consumption and operation energy consumption. The value of the basic energy consumption is constant. The operation energy consumption is the energy consumed in the process of capturing carbon dioxide and is influenced by the operation power and the state of equipment. The expression of the output of the carbon capture unit and the energy consumption of the carbon capture operation is as follows:
Figure BDA0003660425410000061
Figure BDA0003660425410000062
in the formula (I), the compound is shown in the specification,
Figure BDA0003660425410000063
for the net power generation of the carbon capture unit at time t,
Figure BDA0003660425410000064
is the equivalent power generation output of the carbon capture unit at the time t,
Figure BDA0003660425410000065
for the carbon capture energy consumption provided by the thermal power at the time t,
Figure BDA0003660425410000066
energy consumption for carbon capture operation at time t, PBFor capturing solids from carbonAnd (5) determining the energy consumption.
The carbon dioxide in the carbon capture process has the following relationship:
Figure BDA0003660425410000067
in the formula (I), the compound is shown in the specification,
Figure BDA0003660425410000071
for the net carbon emission of the carbon capture unit at time t,
Figure BDA0003660425410000072
for the total carbon emission of the carbon capture unit at time t,
Figure BDA0003660425410000073
is the amount of carbon capture at time t,
Figure BDA0003660425410000074
is the carbon treatment amount at time t, ηBThe carbon capture rate.
Wind power, photovoltaic and carbon capture units are operated in a combined mode, one part of wind power and photovoltaic power is directly supplied to a carbon capture system as carbon capture energy consumption, and the other part of power is input into a power grid and is expressed as follows:
Figure BDA0003660425410000075
Figure BDA0003660425410000076
Figure BDA0003660425410000077
in the formula (I), the compound is shown in the specification,
Figure BDA0003660425410000078
the carbon capture power provided for the wind power at the time t,
Figure BDA0003660425410000079
the carbon capture power provided for the photovoltaic at time t, w is the operating power consumption for processing unit mass of carbon dioxide,
Figure BDA00036604254100000710
for the wind power on-line power at the time t,
Figure BDA00036604254100000711
the power is predicted for the wind power at the time t,
Figure BDA00036604254100000712
for the photovoltaic grid-connected power at the moment t,
Figure BDA00036604254100000713
and predicting the power of the photovoltaic at the t moment.
The carbon dioxide collected in the carbon capture process can be used for electric conversion gas, the utilization rate of equipment and resources can be improved by combining the carbon capture technology and the electric conversion gas technology, and the system operation cost is reduced. The mathematical model for electric gas conversion is as follows:
Figure BDA00036604254100000714
in the formula (I), the compound is shown in the specification,
Figure BDA00036604254100000715
energy consumption for electric conversion at time t, etap2gFor electrical to gas efficiency, λp2gThe energy consumption for converting electricity into gas of carbon dioxide of unit mass.
3. Other unit equipment models
(1) CCHP and GB models
While the internal combustion engine in CCHP outputs electric power, the generated high-temperature steam respectively outputs flexible and variable Heat power and cold power through a waste Heat Boiler (HRB), a Heat Storage device (HS) and an LBR, and the electric power, the Heat power, the cold power and the GB Heat power are respectively shown as follows:
Figure BDA00036604254100000716
in the formula:
Figure BDA00036604254100000717
electric power, hot power and cold power (unit is MW) output by CCHP at the time t and thermal power (unit is MW) output by GB; t is a scheduling period, and dT is a time interval;
Figure BDA00036604254100000718
and
Figure BDA00036604254100000719
the natural gas quantity of CCHP and GB is respectively input at the time t, and the unit is m3；
Figure BDA00036604254100000720
Thermal power (in MW) for the LBR input at time t;
Figure BDA00036604254100000721
the heat storage power and the heat release power (unit is MW) of HS at the time t respectively; etaE、ηHR、ηLBRAnd ηGBElectrical efficiency of CCHP, efficiency of HRB, LBR and GB, respectively; h isgasFor the low heat value of the natural gas, 9.97 kW.h/m is taken3。
(2) Energy storage equipment model
The invention considers three energy storage devices of electricity storage, heat storage and cold storage, and the mathematical model is as follows:
Figure BDA00036604254100000722
in the formula, SOCt、QHSt、QCStThe charge state, the capacity state and the capacity state of the heat storage equipment of the electricity storage equipment at the time t are respectively; wSIs the capacity of the electricity storage equipment;
Figure BDA0003660425410000081
the charging power eta of the electric storage, the heat storage and the cold storage equipment at the moment t respectivelych、ηchs、ηccsThe charging efficiency of the electricity storage equipment, the heat storage equipment and the cold storage equipment is respectively set;
Figure BDA0003660425410000082
Figure BDA0003660425410000083
energy discharge power eta of the electricity storage, heat storage and cold storage equipment at the time tdis、ηdhs、ηdcsRespectively the energy release efficiency of the electricity storage equipment, the heat storage equipment and the cold storage equipment.
(3) Electric refrigeration equipment model
The mathematical model of the electric refrigerating equipment is as follows:
Figure BDA0003660425410000084
in the formula (I), the compound is shown in the specification,
Figure BDA0003660425410000085
the cold power output by the electric refrigeration equipment at the moment t, cop is the energy efficiency ratio of electric refrigeration,
Figure BDA0003660425410000086
the electric energy consumed by the electric refrigeration equipment at the moment t.
4. Low-carbon optimization scheduling model of multi-energy complementary comprehensive energy system
(1) Objective function
The invention takes the lowest comprehensive operation cost as an objective function, and comprises the operation cost, the operation and maintenance cost, the carbon transaction cost, the carbon processing cost, the electricity purchasing cost and the like of each unit. The details are as follows:
Obj＝min(F1+F2+F3+F4+F5) (11)
1) the first cost function is carbon trading cost, and the first cost function is formed by carbon trading cost of the thermal power generating unit and the CCHP unit. The carbon transaction cost of the unit is determined by the carbon emission and the carbon share quota. The carbon content quota of the thermal power generating unit and the CCHP unit is expressed as follows:
Figure BDA0003660425410000087
in the formula (I), the compound is shown in the specification,
Figure BDA0003660425410000088
carbon quota, sigma, of carbon capture unit and CCHP unit at time tG、σCCHPThe carbon emission quotas of the carbon collection unit and the CCHP unit are respectively the unit electric quantity carbon emission quotas of the carbon collection unit and the CCHP unit.
If the carbon emission amount of the carbon emission source is larger than the carbon point quota in the actual production process, the power generator needs to buy the excess part in the carbon trading market, and otherwise, the rest part can be sold to the carbon trading market. The carbon emissions of the thermal power plant and the CCHP plant can be expressed as follows:
Figure BDA0003660425410000089
in the formula (I), the compound is shown in the specification,
Figure BDA00036604254100000810
is the carbon emission of the CCHP unit at time t, lambdaG、λCCHPThe carbon emission intensity of the unit output of the carbon capture unit and the CCHP unit is respectively.
The carbon trade cost function is therefore expressed as follows:
Figure BDA00036604254100000811
in the formula, ccIs the carbon transaction cost factor.
2) The second cost function is the operating cost of the power plant
Figure BDA00036604254100000812
In the formula, cYIs an operating cost factor for a unit of electricity,
Figure BDA00036604254100000813
the generated power of the power generation equipment at the moment t.
3) The third cost function is the electricity purchase cost
Figure BDA0003660425410000091
In the formula (I), the compound is shown in the specification,
Figure BDA0003660425410000092
is the electricity price at the time point of t,
Figure BDA0003660425410000093
the purchased electric power at the time t.
4) The fourth cost function is the gas purchase cost
Figure BDA0003660425410000094
In the formula, cgIn order to achieve the price of the natural gas,
Figure BDA0003660425410000095
the amount of natural gas consumed at time t.
5) The fifth cost function is the energy charging and discharging cost of the energy storage
Figure BDA0003660425410000096
In the formula, cesThe cost coefficient of energy charging and discharging for energy storage,
Figure BDA0003660425410000097
respectively the charging and discharging energy power, eta, of the energy storage device at the moment tech、ηedisRespectively for the charging and discharging efficiency of the energy storage device.
(2) Constraint conditions
1) Electric power balance constraint:
Figure BDA0003660425410000098
in the formula, LtThe electrical load power is at time t.
2) And thermal power balance constraint:
Figure BDA0003660425410000099
in the formula (I), the compound is shown in the specification,
Figure BDA00036604254100000910
respectively thermal power output by a CCHP unit at the time t and thermal power output by a gas boiler, HtThe thermal load power at time t.
3) Cold power balance constraint:
Figure BDA00036604254100000911
in the formula, CtFor the cold load power at the time t,
Figure BDA00036604254100000912
for the time t, the cold discharge power of the cold storage equipment,
Figure BDA00036604254100000913
and the cold charging power of the cold storage equipment is t moment.
4) The inequality constraints of cold, hot and electric power are as follows:
Figure BDA00036604254100000914
in the formula (I), the compound is shown in the specification,
Figure BDA00036604254100000915
respectively the upper limit and the lower limit of the generating power of the generating equipment;
Figure BDA00036604254100000916
for thermal power of the heat-generating device at time t,
Figure BDA00036604254100000917
respectively the upper and lower thermal power limits of the heat-generating equipment;
Figure BDA00036604254100000918
for the cold power of the refrigerating device at the moment t,
Figure BDA00036604254100000919
Figure BDA00036604254100000920
respectively the upper and lower limits of the cold power of the refrigeration equipment.
5) And (3) power purchase restraint:
Figure BDA00036604254100000921
in the formula (I), the compound is shown in the specification,
Figure BDA00036604254100000922
in order to obtain the upper limit of the electric power,
Figure BDA00036604254100000923
the upper limit of electricity sale.
6) Energy storage equipment restraint:
the cold, hot and electric energy storage equipment is processed by adopting a general model, and upper limit constraints of energy charging and discharging power of the equipment, mutually exclusive constraints of energy charging and discharging states and the like are established.
Figure BDA0003660425410000101
In the formula (I), the compound is shown in the specification,
Figure BDA0003660425410000102
respectively an energy charging state variable and an energy discharging state variable of the energy storage equipment at the moment t;
Figure BDA0003660425410000103
respectively setting the upper and lower limits of the charging energy of the energy storage equipment;
Figure BDA0003660425410000104
respectively representing the upper limit and the lower limit of the energy release of the energy storage equipment;
Figure BDA0003660425410000105
for the state of capacity of the energy storage device at time t,
Figure BDA0003660425410000106
respectively an upper limit and a lower limit of the capacity of the energy storage equipment,
Figure BDA0003660425410000107
respectively, the beginning and end states of the capacity of the energy storage device.
The device constraints are expanded in detail as follows:
1.1 wind power and photovoltaic unit inequality constraint:
Figure BDA0003660425410000108
Figure BDA0003660425410000109
1.2 thermal power generating unit inequality constraint:
Figure BDA00036604254100001010
in the formula (I), the compound is shown in the specification,
Figure BDA00036604254100001011
for the state variable of the thermal power generating unit at the time t,
Figure BDA00036604254100001012
the upper limit and the lower limit, delta P, of the generated power of the thermal power generating unit respectivelyGThe ramp rate of the thermal power generating unit.
1.3 carbon capture inequality constraints:
Figure BDA00036604254100001013
in the formula, deltatThe flue gas split ratio at the time t,
Figure BDA00036604254100001014
for carbon capture operating energy consumption Upper Limit,. DELTA.POPCarbon capture energy consumption climbing rate.
1.4 electric-to-gas inequality constraint:
Figure BDA00036604254100001015
in the formula (I), the compound is shown in the specification,
Figure BDA00036604254100001016
is the upper limit of the energy consumption for converting electricity into gas, delta Pp2gThe climbing rate is changed from electricity to gas.
1.5 the inequality constraint of CCHP unit:
Figure BDA0003660425410000111
in the formula (I), the compound is shown in the specification,
Figure BDA0003660425410000112
respectively the upper limit and the lower limit of CCHP power generation power, delta PECCHPIs the climbing rate of the CCHP generated power,
Figure BDA0003660425410000113
are respectively the upper limit and the lower limit of the CCHP thermal power,
Figure BDA0003660425410000114
respectively GB upper and lower thermal power limits, VgasmaxThe upper natural gas consumption limit for CCHP and GB,
Figure BDA0003660425410000115
respectively, the upper and lower limits of the cold power output by the CCHP.
1.6 electric refrigeration inequality constraint:
Figure BDA0003660425410000116
in the formula (I), the compound is shown in the specification,
Figure BDA0003660425410000117
the energy consumption upper and lower limits of the electric refrigeration are set.
The following are the example analyses and the example results.
1. Analysis by calculation example:
the scheduling period T is 24h, and the time granularity dT is 1 h. The time-of-use electricity price is shown in figure 2, the natural gas price is 2.8 yuan/(MW & h), and the carbon trading price is 50 yuan/t. Carbon emission quota sigma of unit power of thermal power generating unitG0.60t/(MW h), carbon emission intensity lambdaG1.12t/(MW · h). Carbon emission quota sigma of CCHP unit powerCCHP0.46 t/(MW h), carbon emission intensity lambdaCCHP0.76t/(MW · h). Carbon capture rate of ηB0.55, carbon capture operating cost coefficient c pc25 yuan/(MW h), electric gas conversion efficiency etap2g0.75, electric-to-gas running cost coefficient cp2gIs 20 yuan/(MW & h).
2. The calculation results are as follows:
fig. 3, fig. 4, and fig. 5 show the optimized scheduling results of the electricity, heat, and cold integrated energy system.
As can be seen from the figure 3, the main source of the electric energy is a thermal power generating unit, and then a CCHP unit is adopted, wind-solar power generation is complemented, and electricity is purchased to make up for the vacancy of unit output; the stored energy plays a role in peak clipping and valley filling, and can be used for synergistically absorbing wind and light power generation with carbon capture.
As can be seen from fig. 4, the gas boiler and the CCHP are the main sources of thermal energy. The heat power generated by the CCHP system is partially provided for the lithium bromide refrigerator for refrigeration. As can be seen in conjunction with the cold power supply scenario of fig. 5, the peak period of LBR refrigeration output corresponds to the valley of CCHP heat production power. The gas boiler increases output to meet the heat load requirement in the heat production valley period of the CCHP unit to form complementation, and the electric refrigeration increases output to meet the cold load requirement in the LBR valley period to form complementation.
Fig. 6 shows that carbon capture can accommodate a large amount of wind and photovoltaic power generation. By combining the carbon capture unit, the wind power and the photovoltaic, the power provided by the wind power and the photovoltaic for the carbon capture energy consumption can be coordinated, and the schedulability of the wind power and the photovoltaic is enhanced. In addition, the complementarity of electricity storage and wind and light can solve the problems of wind abandoning and light abandoning and reduce the influence of wind and light fluctuation on actual operation.
The foregoing detailed description of the preferred embodiments of the invention has been presented. It should be understood that numerous modifications and variations could be devised by those skilled in the art in light of the present teachings without departing from the inventive concepts. Therefore, the technical solutions that can be obtained by a person skilled in the art through logical analysis, reasoning or limited experiments based on the prior art according to the concepts of the present invention should be within the scope of protection determined by the claims.

Claims (10)

1. A low-carbon optimal scheduling method for a multi-energy complementary integrated energy system considering wind-light-carbon capture-electricity-to-gas combination is characterized by comprising the following steps of:
step 1, constructing a wind-light-carbon capture-electricity-to-gas combined comprehensive energy system, wherein the comprehensive energy system comprises wind power, photovoltaic and thermal power units, a carbon capture system, a CCHP unit, a gas boiler, energy storage equipment, electric refrigeration equipment and electricity-to-gas equipment;
step 2, considering the participation of the comprehensive energy system in a carbon trading market, and establishing a low-carbon optimal scheduling model of the comprehensive energy system with multi-energy complementation;
step 3, solving an optimization result of the low-carbon optimization scheduling model;
and 4, according to the optimization result, the power of energy consumption provided by the wind-solar power generation to the carbon capture system is adjusted, so that the flexible scheduling of the wind-solar power generation is realized, and the carbon dioxide captured in the carbon capture process is used for converting electricity into gas, so that the energy utilization rate is improved.
2. The low-carbon optimal scheduling method for the multi-energy complementary comprehensive energy system considering the wind-light-carbon capture-electricity-to-gas combination as claimed in claim 1, wherein the energy storage device in the step 1 comprises an electricity storage device, a heat storage device and a cold storage device.
3. The low-carbon optimal scheduling method for the multi-energy complementary comprehensive energy system considering the combination of wind-light-carbon capture-electricity-to-gas conversion as claimed in claim 2, wherein the CCHP unit in the step 1 comprises an internal combustion engine, a waste heat boiler and a lithium bromide refrigerating unit.
4. The low-carbon optimal scheduling method for the multi-energy complementary comprehensive energy system considering the wind-light-carbon capture-electricity-to-gas combination as claimed in claim 3, wherein the low-carbon optimal scheduling model in the step 2 takes a lowest comprehensive operation cost as an objective function, and the comprehensive operation cost includes a carbon transaction cost, a power generation equipment operation cost, an electricity purchase cost, a gas purchase cost, and an energy storage charging and discharging cost.
5. The low-carbon optimal scheduling method for the wind-light-carbon capture-electricity-to-gas combined multi-energy complementary integrated energy system according to claim 4, wherein the carbon trading cost is formed by carbon trading costs of a thermal power unit and a CCHP unit, and the carbon trading costs of the thermal power unit and the CCHP unit are determined by carbon emission and carbon share quota.
6. The low-carbon optimal scheduling method for the wind-light-carbon capture-electricity-to-gas combined multi-energy complementary integrated energy system, according to claim 5, wherein the carbon allocation amounts of the thermal power generating unit and the CCHP unit are expressed as follows:
Figure FDA0003660425400000011
in the formula (I), the compound is shown in the specification,
Figure FDA0003660425400000012
Figure FDA0003660425400000013
Figure FDA0003660425400000014
carbon quota, sigma, of carbon capture unit and CCHP unit at time tG、σCCHPCarbon emission quotas of unit electric quantity of the carbon trapping unit and the CCHP unit respectively,
Figure FDA0003660425400000015
for the net generated power of the carbon capture unit at time t,
Figure FDA0003660425400000021
is the equivalent power generation output of the carbon capture unit at the time t,
Figure FDA0003660425400000022
for the carbon capture energy consumption provided by the thermal power at the moment t,
Figure FDA0003660425400000023
the electric power output by the CCHP unit at the time T, T is a scheduling period, dT is a time interval,
Figure FDA0003660425400000024
inputting the natural gas quantity, eta, of the CCHP unit at the time tEFor the electrical efficiency, h, of the CCHP plantgasIs natural gas with low heat value;
the carbon emissions of the thermal power plant and the CCHP plant are expressed as follows:
Figure FDA0003660425400000025
in the formula (I), the compound is shown in the specification,
Figure FDA0003660425400000026
carbon emission of CCHP unit at time t, lambdaG、λCCHPThe carbon emission intensity of the unit output of the carbon capture unit and the CCHP unit is respectively.
7. The low-carbon optimal scheduling method for the wind-light-carbon capture-electricity-to-gas combined multi-energy complementary integrated energy system according to claim 6, wherein the carbon trading cost is expressed as follows:
Figure FDA0003660425400000027
in the formula, ccIs the carbon transaction cost factor.
8. The low-carbon optimal scheduling method for the wind-light-carbon capture-electricity-to-gas combined multi-energy complementary integrated energy system according to claim 7, wherein the operation cost of the power generation equipment is expressed as follows:
Figure FDA0003660425400000028
in the formula, cYIs an operating cost factor for a unit of electricity,
Figure FDA0003660425400000029
the generated power of the generating equipment at the moment t;
the electricity purchase cost is expressed as follows:
Figure FDA00036604254000000210
in the formula (I), the compound is shown in the specification,
Figure FDA00036604254000000211
is the electricity price at the time point of t,
Figure FDA00036604254000000212
the power purchasing power at the time t;
the gas purchase cost is expressed as follows:
Figure FDA00036604254000000213
in the formula, cgIn order to achieve the price of the natural gas,
Figure FDA00036604254000000214
the amount of natural gas consumed at time t;
the energy storage charging and discharging cost is expressed as follows:
Figure FDA00036604254000000215
in the formula, cesThe cost coefficient of energy charging and discharging for energy storage,
Figure FDA00036604254000000216
the charging and discharging energy powers, eta, of the energy storage equipment at the moment tech、ηedisRespectively the charging and discharging efficiency of the energy storage device.
9. The method for low-carbon optimal scheduling of the multi-energy complementary integrated energy system considering wind-light-carbon capture-electricity-to-gas combination according to claim 8, wherein the constraints of the low-carbon optimal scheduling model in the step 2 include:
electric power balance constraint:
Figure FDA00036604254000000217
in the formula (I), the compound is shown in the specification,
Figure FDA00036604254000000218
for the wind power on-line power at the time t,
Figure FDA00036604254000000219
for the photovoltaic grid-connected power at the moment t,
Figure FDA00036604254000000220
for the discharge power of the electric storage device at time t,
Figure FDA00036604254000000221
for the charging power of the electricity storage apparatus at time t, LtFor the power of the electrical load at time t,
Figure FDA00036604254000000222
for the energy consumption of the electric gas conversion at the moment t,
Figure FDA00036604254000000223
the electric energy consumed by the electric refrigeration equipment at the moment t;
and thermal power balance constraint:
Figure FDA0003660425400000031
in the formula (I), the compound is shown in the specification,
Figure FDA0003660425400000032
respectively thermal power output by a CCHP unit at the time t and thermal power output by a gas boiler, HtIs the thermal load power at time t;
cold power balance constraint:
Figure FDA0003660425400000033
in the formula (I), the compound is shown in the specification,
Figure FDA0003660425400000034
for the cold power output by the CCHP unit at time t,
Figure FDA0003660425400000035
for the cold power output by the electric refrigerating equipment at the moment t,
Figure FDA0003660425400000036
for the time t, the cold discharge power of the cold storage equipment,
Figure FDA0003660425400000037
charging cold power for cold storage equipment at time t, CtThe cold load power at time t;
the inequality constraints of cold, hot and electric power are as follows:
Figure FDA0003660425400000038
in the formula (I), the compound is shown in the specification,
Figure FDA0003660425400000039
for the upper and lower limits of the generated power of the respective power generation equipment,
Figure FDA00036604254000000310
to provide thermal power to the heat-producing device at time t,
Figure FDA00036604254000000311
respectively are the upper and lower limits of thermal power of heat-producing equipment,
Figure FDA00036604254000000312
for the cold power of the refrigerating device at time t,
Figure FDA00036604254000000313
Figure FDA00036604254000000314
respectively the upper and lower cold power limits of the refrigeration equipment;
power purchase constraint:
Figure FDA00036604254000000315
in the formula (I), the compound is shown in the specification,
Figure FDA00036604254000000316
in order to obtain the upper limit of the power purchase,
Figure FDA00036604254000000317
the upper limit for electricity sales;
energy storage equipment restraint:
Figure FDA00036604254000000318
in the formula (I), the compound is shown in the specification,
Figure FDA00036604254000000319
respectively an energy charging state variable and an energy discharging state variable of the energy storage equipment at the moment t;
Figure FDA00036604254000000320
respectively charging upper and lower limits of energy storage equipment;
Figure FDA00036604254000000321
respectively the upper limit and the lower limit of the energy release of the energy storage equipment,
Figure FDA00036604254000000322
for the energy storage device capacity state at time t,
Figure FDA00036604254000000323
respectively an upper limit and a lower limit of the capacity of the energy storage equipment,
Figure FDA00036604254000000324
respectively, the beginning and end states of the capacity of the energy storage device.
10. The low-carbon optimal scheduling method for the wind-light-carbon capture-electricity-to-gas combined multi-energy complementary integrated energy system according to claim 9, wherein the constraints of the low-carbon optimal scheduling model in the step 2 specifically include:
inequality constraint of wind power and photovoltaic unit
Figure FDA00036604254000000325
Figure FDA00036604254000000326
In the formula (I), the compound is shown in the specification,
Figure FDA0003660425400000041
the carbon capture power provided for the wind power at the time t,
Figure FDA0003660425400000042
the carbon capture power provided for the photovoltaic at time t,
Figure FDA0003660425400000043
the power is predicted for the wind power at time t,
Figure FDA0003660425400000044
predicting power for the photovoltaic at the time t;
inequality constraint of thermal power generating unit
Figure FDA0003660425400000045
In the formula (I), the compound is shown in the specification,
Figure FDA0003660425400000046
for the state variable of the thermal power generating unit at the moment t,
Figure FDA0003660425400000047
the upper limit and the lower limit, delta P, of the generated power of the thermal power generating unit respectivelyGThe ramp rate of the thermal power generating unit;
carbon capture inequality constraints:
Figure FDA0003660425400000048
in the formula, deltatThe flue gas split ratio at the time t,
Figure FDA0003660425400000049
for the carbon capture operation energy consumption at the moment t,
Figure FDA00036604254000000410
upper limit of energy consumption for carbon capture operation, Δ POPCarbon capture energy consumption climbing rate;
the inequality constraint of electricity-to-gas conversion:
Figure FDA00036604254000000411
in the formula (I), the compound is shown in the specification,
Figure FDA00036604254000000412
is the upper limit of energy consumption for electric gas conversion, Delta Pp2gThe electric-to-gas climbing rate is adopted;
inequality constraint of CCHP unit
Figure FDA00036604254000000413
In the formula (I), the compound is shown in the specification,
Figure FDA00036604254000000414
are respectively the upper limit and the lower limit of the generated power of a CCHP unit, delta PECCHPFor the generated power climbing rate of the CCHP unit,
Figure FDA00036604254000000415
respectively the upper and lower limits of the thermal power output by the CCHP unit,
Figure FDA00036604254000000416
respectively are the upper limit and the lower limit of the thermal power of the gas boiler,
Figure FDA00036604254000000417
the amount of natural gas, V, input into the gas boiler at time tgasmaxThe upper limit of the natural gas consumed by the CCHP unit and the gas boiler,
Figure FDA00036604254000000418
respectively the upper and lower limits of the cold power output by the CCHP unit;
the electric refrigeration inequality constrains:
Figure FDA00036604254000000419
in the formula (I), the compound is shown in the specification,
Figure FDA00036604254000000420
the energy consumption upper and lower limits of the electric refrigeration are set.
CN202210575944.6A 2022-05-24 2022-05-24 Low-carbon optimized scheduling considering wind-light-carbon capture-electricity-to-gas comprehensive energy system Pending CN114781756A (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115563816A (en) * 2022-11-30 2023-01-03 国网天津市电力公司城西供电分公司 Low-carbon-oriented photovoltaic and wind power generation grid connection and energy storage optimization method and device
CN116402295A (en) * 2023-04-06 2023-07-07 中国矿业大学 Mine comprehensive energy system optimal scheduling method and system for electric-to-gas mixing coal bed gas
CN117172815A (en) * 2023-07-18 2023-12-05 南京工业大学 Hybrid game method and system for active power distribution network of multiple water, electricity and gas energy subsystems

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115563816A (en) * 2022-11-30 2023-01-03 国网天津市电力公司城西供电分公司 Low-carbon-oriented photovoltaic and wind power generation grid connection and energy storage optimization method and device
CN116402295A (en) * 2023-04-06 2023-07-07 中国矿业大学 Mine comprehensive energy system optimal scheduling method and system for electric-to-gas mixing coal bed gas
CN116402295B (en) * 2023-04-06 2023-10-27 中国矿业大学 Mine comprehensive energy system optimal scheduling method and system for electric-to-gas mixing coal bed gas
CN117172815A (en) * 2023-07-18 2023-12-05 南京工业大学 Hybrid game method and system for active power distribution network of multiple water, electricity and gas energy subsystems

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