CN116542370A - Park low-carbon economic operation method considering carbon capture and carbon transaction - Google Patents
Park low-carbon economic operation method considering carbon capture and carbon transaction Download PDFInfo
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Abstract
The invention discloses a park low-carbon economic operation method considering carbon capture and carbon transaction, belonging to the technical field of comprehensive energy systems. Establishing an excitation type load comprehensive demand response model, and calculating user compensation benefits according to the total amount of transferable load and reducible load; establishing an operation model of the energy conversion equipment and the energy storage equipment, and listing and writing electricity, gas, heat, cold and hydrogen multi-energy balance equations; establishing an industrial park carbon footprint accounting model considering different stages of energy extraction, energy transportation, power generation operation and waste gas treatment and greenhouse gas emission in different energy chains; and comparing the low carbon property and the economical efficiency of the low carbon park comprehensive energy system with those of the traditional park comprehensive energy system, and verifying the low carbon property and the economical efficiency of the system on the premise of meeting the low carbon economical optimization operation target. The invention reduces the total cost of the traditional park and the low-carbon park, promotes the consumption of new energy and realizes the aim of low-carbon emission reduction of the park.
Description
Technical Field
The invention relates to the technical field of comprehensive energy systems, in particular to a park low-carbon economic operation method considering carbon capture and carbon transaction.
Background
At present, the requirements of users and society in China on energy sources become more diversified, the requirements on energy source management are gradually increased, and on the basis of continuously exploring energy sources to meet the requirements of users, the electricity consumption cost is reduced, the carbon emission is reduced, and the use ratio of clean energy sources is increased.
Under the background, the park comprehensive energy system (park integrated energy system, PIES) realizes the optimized operation, collaborative management and complementary mutual aid of various energy sources by coupling together power, heat energy, natural gas and other energy sources, and builds a modern energy system with clean low carbon, safety and high efficiency. How to find the balance point between the economic development and the environmental protection becomes a current domestic hot spot problem, wherein the promotion of green, low-carbon and sustainable cyclic development of energy is a very important ring in the PIES development process.
Therefore, it is required to put forward a low-carbon PIES economic operation method in consideration of power-to-gas (P2G) and punishment ladder-type carbon transaction mechanism, particularly in the energy coupling relationship between the power system (electrical power system, EPS) and the natural gas system (natural gas system, NGS), and compare with the conventional PIES in the same competition mode to analyze the low carbon and economical efficiency of the park.
Disclosure of Invention
The invention aims to provide a park low-carbon economic operation method considering carbon capture and carbon transaction, which is characterized by comprising the following steps of:
step A, processing the uncertainty risk of new energy based on an improved light robust optimization model, taking an optimal decision scheme of a system with the available output in a set in the worst case into consideration, getting rid of the dependence on an optimal solution of a linear planning problem, establishing an excitation type load comprehensive demand response model, and calculating user compensation benefits according to the total amount of transferable load and reducible load;
step B, establishing an operation model of the energy conversion equipment and the energy storage equipment, and listing and writing electric, gas, heat, cold and hydrogen multi-energy flow balance equations;
establishing an industrial park carbon footprint accounting model considering different stages of energy extraction, energy transportation, power generation operation and waste gas treatment and greenhouse gas emission in different energy chains by using a life cycle evaluation method;
and D, on the premise of establishing an inter-garden electric energy interaction channel, comparing the low-carbon property and the economical efficiency of the low-carbon garden comprehensive energy system with those of the traditional garden comprehensive energy system, and verifying the low-carbon property and the economical efficiency of the system on the premise of meeting the low-carbon economical optimization operation target.
The improved light robust optimization model in the step A is as follows:
s.t.
in the method, in the process of the invention,punishment cost for discarding new energy; p (P) PV,t 、P WT,t The output of the photovoltaic unit and the output of the wind turbine at the moment t are respectively; c PV 、c WT Penalty coefficient vectors respectively representing the output of the photovoltaic unit and the output of the wind turbine unit; omega 1 、ω 2 Is a weight vector; gamma ray 1 、γ 2 The relaxation degree of the robust constraint; />And the uncertain parameters are respectively used for converting the output of the photovoltaic unit and the output of the wind power unit in the linear constraint.
The user compensation benefit in the step A comprises the following steps:
in the method, in the process of the invention,compensating revenue for the motivating IDR user; c transfer 、c cut User compensation prices for unit power transfer and curtailment, respectively; p (P) transfer.t 、P cut.t The transferable load and the reducible load at the time t are respectively represented;
load classification and constraint:
wherein P is load,t The load after the user participates in the excitation type load comprehensive demand response model is used; p (P) base.t Representing the basic load at the time t, wherein the sum of transferable loads is 0 in one period; p (P) transfer.max 、P cut.max The upper limit of the transferable load and the upper limit of the reducible load at any time are respectively set, T is time, and 24 hours are taken.
The energy conversion equipment in the step B comprises electric gas conversion equipment, a cogeneration unit, an electric boiler, a gas boiler, an absorption refrigerator and an ice cold storage air conditioner.
The energy storage device in the step B comprises a storage battery, a heat storage tank and natural gas energy storage equipment.
The electric, gas, heat, cold and hydrogen multi-energy flow balance equation in the step B is as follows:
P AC.c,t +P AR.c,t ＝P load.c,t
wherein P is GB.g,t 、P EB.e,t 、P AC.e,t 、P AR.h,t The power input by the gas boiler, the power input by the electric boiler, the power input by the ice storage air conditioner and the heat input by the absorption refrigerator at the moment t are respectively; p (P) GB.h,t 、P EB.h,t 、P AC.c,t 、P AR.c,t The output heat power of the gas boiler, the output heat power of the electric boiler, the output cold power of the ice storage air conditioner and the output cold power of the absorption refrigerator at the moment t are respectively;the charging power of the storage battery, the discharging power of the storage battery, the charging power of the natural gas energy storage, the discharging power of the natural gas energy storage, the charging power of the thermal energy storage and the discharging power of the thermal energy storage at the time t respectively; p (P) load.e,t 、P load.h,t 、P load.c,t The method is characterized in that the electric, thermal and cold loads in a comprehensive energy system of a park at the moment t are calculated; />And respectively obtaining electricity purchasing power, electricity selling power and gas purchasing power of the park comprehensive energy system to the power distribution network at the moment t.
The operation model of the energy conversion device in the step B includes:
and the power conversion equation of the cogeneration unit is as follows:
wherein P is CHP.g,t Natural gas power is input to a cogeneration unit; p (P) CHP.e,t 、P CHP.h,t The electric power and the thermal power are output by the cogeneration unit respectively; η (eta) CHP.h 、η CHP.e The heat transfer and the electric efficiency of the cogeneration unit at the moment t are respectively;
constraint equation of cogeneration unit:
wherein P is CHP.g,t Natural gas power is input to a cogeneration unit; p (P) CHP.e,t 、P CHP.h,t The electric power and the thermal power are output by the cogeneration unit respectively; η (eta) CHP.h 、η CHP.e The heat transfer and the electric efficiency of the cogeneration unit at the moment t are respectively;the upper limit and the lower limit of the input power of the cogeneration unit at the moment t are respectively set; />The climbing constraint upper limit and the climbing constraint lower limit of the cogeneration unit at the moment t are adopted; />The upper limit and the lower limit of the thermoelectric ratio of the cogeneration unit are respectively set;
power conversion equation of gas boiler, electric boiler, ice cold storage air conditioner and absorption refrigerator:
P out,m,t ＝η m P in,m,t
wherein P is in,m,t 、P out,m,t Respectively inputting and outputting power at the moment t of the mth energy conversion equipment; η (eta) m Energy conversion efficiency for the mth station apparatus;
constraint equation of gas boiler, electric boiler, ice cold storage air conditioner and absorption refrigerator:
in the method, in the process of the invention,the upper limit and the lower limit of the input power of the mth equipment are respectively; />The upper limit and the lower limit of climbing constraint of the mth equipment are defined;
power conversion equation for electrical switching apparatus:
wherein P is EL.e,t 、Respectively inputting electric power to the electrolytic tank and inputting H to the methane reactor at the moment t 2 Quantity and hydrogen fuel cell input H 2 An amount of; />P HFC.e,t 、P HFC.t,t For t time of electrolytic cell output H 2 The quantity and the hydrogen fuel cell output electric and thermal power; η (eta) EL 、η MR The energy conversion ratio of the electrolytic tank and the methane reactor; η (eta) HFC.e 、η HFC.t A hydrogen-to-electricity, hydrogen-to-heat conversion ratio for a hydrogen fuel cell;
constraint equation of electric conversion equipment:
wherein P is EL.e,t 、Respectively inputting electric power to the electrolytic tank and inputting H to the methane reactor at the moment t 2 Quantity and hydrogen fuel cell input H 2 An amount of; />P HFC.e,t 、P HFC.t,t 、P MR.g,t For t time of electrolytic cell output H 2 The quantity, the output electricity and the thermal power of the hydrogen fuel cell and the output gas power of the methane reactor; η (eta) EL 、η MR The energy conversion ratio of the electrolytic tank and the methane reactor; η (eta) HFC.e 、η HFC.t A hydrogen-to-electricity, hydrogen-to-heat conversion ratio for a hydrogen fuel cell;the upper limit and the lower limit of the input of the electrolytic tank, the methane reactor and the hydrogen fuel cell are respectively; /> Respectively an electrolytic tank,The climbing constraint upper limit and the climbing constraint lower limit of the methane reactor and the hydrogen fuel cell; />The upper limit and the lower limit of the thermoelectric ratio of the hydrogen fuel cell are respectively.
The operation model of the energy storage device in the step B is as follows:
the power storage equation:
in the method, in the process of the invention,charging power and discharging power at t time of the nth energy storage device respectively; />Charging power and discharging power for the nth energy storage device; s is S ES.n,t 、S ES.n,t-1 The capacity of the nth energy storage device at the time t and the time t-1 respectively;
constraint equation:
in the method, in the process of the invention,respectively charging and discharging power at t time of the nth energy storage device; />Charging and discharging efficiency of the nth energy storage device respectively; />Respectively charging and discharging the marking positions at the moment t of the nth energy storage device; /> The maximum power is charged and discharged for the nth energy storage device for a single time respectively; s is S ES.n,t The capacity of the nth energy storage device at the moment t respectively; />The upper limit and the lower limit of the capacity of the nth energy storage device are respectively set.
The industrial park carbon footprint accounting model in the step C comprises the following steps:
E PIES ＝E PIES.e +E PIES.g
wherein E is PIES 、E PIES.e 、E PIES.g Carbon emission rights quota for park comprehensive energy system, electricity purchasing production and natural gas production respectively;
E PIES.a ＝E PIES.a.e +E PIES.a.g -E PIES.a.MR
wherein E is PIES.a 、E PIES.a.e 、E PIES.a.g The actual carbon emission amounts of the park comprehensive energy system, the electricity purchasing production and the natural gas production are respectively; e (E) PIES.a.MR Actual CO absorption for methane reactor 2 An amount of;
E PIES,t ＝E PIES.a -E PIES
wherein E is PIES,t Trade amount for carbon emission rights;
in the method, in the process of the invention,cost for carbon trade; c is the trade price of the unit carbon emission rights in the carbon trade market; h is the carbon emission interval length; lambda and mu are penalty factors and compensation factors respectively.
The low-carbon economic optimization operation target in the step D is as follows:
wherein F is PIES 、The method comprises the steps of respectively integrating the total cost of an energy system, the energy transaction cost, the operation cost of energy conversion equipment and the operation cost of energy storage equipment in a park; />The price of electricity selling, electricity purchasing and gas purchasing are respectively; m is the type of energy conversion equipment in the park comprehensive energy system; n is the energy storage device class; p (P) m,t 、P n,t Respectively the input power of the mth and nth devices at the moment t; f (f) m Is a cost factor for the mth conversion device; a, a n 、b n 、c n Are all cost factors of the nth energy storage device; t is time, taken for 24 hours.
The invention has the beneficial effects that:
the invention reduces the total cost of the traditional park and the low-carbon park, promotes the consumption of new energy, realizes the aim of low-carbon emission reduction of the park, and meets the dual requirements of low carbon property and economy.
Drawings
FIG. 1 is a flow chart of a low carbon economic operation of a campus in which carbon capture and carbon trading are considered in the present invention;
FIG. 2 is a block diagram of a campus integrated energy system that considers CCUS;
FIG. 3 is a diagram of a two-phase P2G operation architecture;
FIG. 4 is a LCA flow chart;
FIG. 5 is a new energy maximum output and load model;
FIG. 6 (a) is a graph showing the comparison of the electrical loads before and after demand response;
FIG. 6 (b) is a graph comparing heat loads before and after demand response;
FIG. 6 (c) is a graph showing the comparison of the cooling load before and after the demand response;
FIG. 7 is a graph comparing campus carbon emissions;
FIG. 8 (a) is a graph of low carbon park power plant output;
fig. 8 (b) is a graph of the output of a conventional campus power plant.
Detailed Description
The invention provides a low-carbon economic operation method for a park, which considers carbon capture and carbon transaction, and is further described with reference to the accompanying drawings and specific embodiments.
FIG. 1 is a flow chart of a low carbon economic operation of a campus in which carbon capture and carbon trading are considered in the present invention; analysis and comparison of campus low carbon economic operation technology and apparatus considering carbon capture and carbon trade, low carbon PIES structure considering CCUS is shown in fig. 2, comprising the steps of:
and A, establishing a new energy uncertainty risk model based on improved light robustness (improved light robust, ILR), taking an optimal decision scheme of a system under the worst condition of available output in a set into consideration, getting rid of dependence on an optimal solution of a linear planning problem, establishing an excitation type comprehensive demand response (integrated demand response, IDR) model, and calculating user compensation benefits according to transferable loads and reducible total loads.
The problem of wind and light uncertainty in PIES is processed by adopting an ILR optimization model, and a system optimal decision scheme under the worst condition of available output in a set is considered. The invention mainly researches the optimization problem that wind-solar uncertain parameters appear on the right side of an inequality in the form of a polynomial, aims at minimizing punishment cost of new energy sources, and provides ILR model expressions as shown in formulas (1) - (2).
s.t.
In the method, in the process of the invention,punishment cost for discarding new energy; p (P) PV,t 、P WT,t Wind Turbine (WT) and Photovoltaic (PV) output at time t respectively; c PV 、c WT Penalty coefficient vectors for PV and WT are represented respectively; omega 1 、ω 2 Is a weight vector; gamma ray 1 、γ 2 A degree of relaxation that is a robust constraint; gamma ray 1 、γ 2 A degree of relaxation that is a robust constraint;is an uncertain parameter for converting the maximum output of new energy in linear constraint.
The electric, thermal, and cold load demand responses are modeled separately, taking into account the IDR behavior of the user. Because industrial park users are sensitive to economic incentives, the incentives type IDR is selected to classify the load into base load, transferable load and reducible load, the users are compensated according to the size of the transferable load and the reducible load, and the user compensation profit expression is shown in the formula (3).
In the method, in the process of the invention,compensating revenue for the motivating IDR user; c transfer 、c cut User compensation prices for unit power transfer and curtailment, respectively; p (P) transfer.t 、P cut.t The transferable load and the reducible load at time t are indicated, respectively.
The load classification expression and the constraint equation are shown in the formula (4).
Wherein P is load,t The load after the user participates in IDR is used; p (P) base.t Representing the basic load at the time t, wherein the sum of transferable loads is 0 in one period; p (P) transfer.max 、P cut.max The upper limit of the load can be transferred and the load can be reduced at any time.
And B, building an energy conversion equipment operation model such as a cogeneration unit (combined heat and power unit, CHP), an Electric Boiler (EB), a Gas Boiler (GB) and the like, and an energy storage equipment operation model such as a storage battery (electrical energy storage, EES), a Thermal Energy Storage (TES) and a natural gas energy storage (gas energy storage, GES), and listing and writing electricity, gas, heat, cold and hydrogen multi-energy flow balance equations according to the operation mode of the system.
The park relates to 4 energy forms of electricity, gas, heat and cold, and is internally coupled with a plurality of types of source network charge storages, and the requirements of different loads are met through reasonable regulation and control operation strategies so as to ensure the balance of supply and demand. For low-carbon parks, the energy conversion devices mainly comprise P2G, CHP, EB, GB, absorption chillers (absorption refrigerator, AR), ice storage Air Conditioners (AC); the energy storage device mainly includes EES, TES, GES and the like.
Wherein, the constraint equation of CHP is shown in formula (5).
Wherein P is CHP.g,t Inputting natural gas power for the CHP; p (P) CHP.e,t 、P CHP.h,t The CHP outputs electric power and thermal power, respectively; η (eta) CHP.h 、η CHP.e The heat exchange and the electric efficiency are respectively carried out at the moment t and the moment CHP;inputting an upper/lower power limit for CHP at time t; />The upper limit/the lower limit of the climbing constraint is CHP at the time t; />CHP thermoelectric ratio upper/lower limit, respectively.
GB. Constraint equations of EB, AC, AR are shown in formula (6):
wherein P is in,m,t 、P out,m,t Respectively the input/output power of the mth energy conversion equipment at the moment t, and m is epsilon { GB, EB, AC, AR }; η (eta) m Energy conversion efficiency for the mth station apparatus;the upper limit and the lower limit of the input power of the mth station equipment respectively; />The upper/lower limit is constrained for climbing of the mth device.
PIES introduces a P2G two-stage operation strategy, wherein P2G is composed of EL, MR and HFC, the operation process mainly meets the power conversion balance constraint, the input power upper and lower limit constraint and the climbing upper and lower limit constraint, and the P2G two-stage operation structure diagram is shown in figure 3. The P2G operation constraint equations are shown in equations (7) - (9).
Wherein P is EL.e,t 、EL input electric power and MR input H at time t respectively 2 Quantity and HFC input H 2 An amount of; />P HFC.e,t 、P HFC.t,t 、P MR.g,t Output H for time t EL 2 Quantity, HFC output electricity, thermal power and MR output gas power; η (eta) EL 、η MR Energy conversion ratio for EL and MR; η (eta) HFC.e 、η HFC.t Hydrogen-to-electricity, hydrogen-to-heat conversion ratio for HFC;an input upper/lower limit of EL, MR, HFC, respectively; /> Upper/lower hill climbing constraints of EL, MR, HFC, respectively; /> Upper and lower limits of HFC thermoelectric ratios, respectively.
The constraint equation of EES, TES, GES is shown in equation (10).
In the method, in the process of the invention,respectively charging/discharging power at t time of the nth energy storage device, wherein n is { EES, TES, GES }; />Charging/discharging efficiency for the nth energy storage device; />Charging/discharging the nth energy storage device at t momentMarking a bit; />The maximum power is charged/discharged for the nth energy storage device once; s is S ES.n,t The capacity of the nth energy storage device at the t moment; />Is the upper/lower limit of the capacity of the nth energy storage device.
The electric, gas, hot, cold, hydrogen power balance constraint equations for PIES are shown in formulas (11) - (15).
P AC.c,t +P AR.c,t ＝P load.c,t (14)
Wherein, in the formula, P GB.g,t 、P EB.e,t 、P AC.e,t 、P AR.h,t The input gas power, the input electric power of EB, the input electric power of AC and the input thermal power of AR are respectively at the moment t; p (P) GB.h,t 、P EB.h,t 、P AC.c,t 、P AR.c,t The output thermal power of GB, the output thermal power of EB, the output cold power of AC and the output cold power of AR at the moment t respectively; the charge/discharge power at time t EES, GES, TES; p (P) load.e,t 、P load.h,t 、P load.c,t The electric, thermal and cold loads in PIES at time t; />And the electricity purchasing/selling power of PIES to the distribution network and the gas purchasing power of PIES to the gas distribution network at the time t are respectively.
And C, the life cycle of carbon emission is divided into different stages of energy extraction, energy transportation, power generation operation and waste gas treatment, and an LCA flow chart is shown in figure 4. And establishing an industrial park carbon footprint accounting model of greenhouse gas emission in different energy chains.
The carbon emission quota of PIES is divided into two parts of electricity purchasing production and natural gas production, and a gratuitous carbon quota method is adopted.
The carbon quota calculation method is shown in formulas (16) - (17).
E PIES ＝E PIES.e +E PIES.g (17)
Wherein E is PIES 、E PIES.e 、E PIES.g Carbon emission rights quota for PIES, electricity purchasing production, and natural gas production, respectively; x-shaped articles e 、χ g Carbon emissions rights for unit power, natural gas consumption; p (P) GB.h,t The heat energy output by the GB at the time t; η (eta) GB And converting the heat exchange efficiency for the time GB at the t moment.
In the actual carbon emission model, MR absorbs part of CO through the process of converting hydrogen into natural gas 2 And the carbon emission of the park is reduced. The actual carbon emission calculation methods are shown in formulas (18) to (19).
E PIES.a ＝E PIES.a.e +E PIES.a.g -E PIES.a.MR (19)
Wherein E is PIES.a 、E PIES.a.e 、E PIES.a.g The actual carbon emission amounts of PIES, electricity purchasing production and natural gas production are respectively; e (E) PIES.a.MR Actual CO absorption for MR 2 An amount of; p (P) g.total,t Equivalent natural gas power is CHP and GB at time t; a, a 1 、b 1 、c 1 And a 2 、b 2 、c 2 Calculating parameters for actual carbon emission for electricity purchasing production and gas production respectively; x-shaped articles MR CO for MR 2 Absorption parameters.
The carbon emission allowance transaction amount actually participating in the carbon transaction is calculated from the carbon emission allowance amount of the PIES and the actual carbon emission amount as shown in formula (20).
E PIES,t ＝E PIES.a -E PIES (20)
Wherein E is PIES,t Is a carbon emissions trading amount.
The carbon emission is divided into a plurality of subintervals by a reward and punishment ladder-type carbon transaction mechanism, and compensation factors and punishment factors are introduced. When the actual carbon emissions are below the free carbon emission allowance, the campus obtains income through selling the allowance; when the actual carbon emissions are above the quota, the campus is satisfied with the production by purchasing additional carbon emission credits. The carbon trade cost is shown in formula (21):
in the method, in the process of the invention,cost for carbon trade; c is the trade price of the unit carbon emission rights in the carbon trade market; h is the carbon emission interval length; lambda and mu are penalty factors and compensation factors, respectively.
And D, on the premise of establishing an electric energy interaction channel between the gardens, a low-carbon performance and economical efficiency comparison scheme of the low-carbon PIES and the traditional PIES is provided, and on the premise of meeting the requirement of stable running cost of the multi-main-body PIES, the carbon emission of the system is obviously reduced.
Establishing a PIES low carbon economic optimization operation strategy with the minimum operation cost as the aim, wherein the operation cost of the low carbon PIES is shown in the formulas (22) - (24):
wherein F is PIES 、The total PIES cost, the energy transaction cost, the operation cost, the energy conversion equipment operation cost and the energy storage equipment operation cost are respectively; />The price of electricity selling, electricity purchasing and gas purchasing are respectively; m is the type of energy conversion equipment in PIES, including CHP, GB, P2G, etc.; n is the type of energy storage equipment, including EES, TES, etc.; p (P) m,t 、P n,t Respectively the input power of the mth and nth devices at the moment t; f (f) m Is a cost factor for the mth conversion device; a, a n 、b n 、c n Is the cost factor of the nth energy storage device.
Further explanation is provided in connection with specific embodiments in order to provide a better understanding of the present invention and to understand the advantages of the present invention over the prior art.
1. New energy output, load model and model parameter setting
The maximum output and load model of the new energy is shown in figure 5; setting c in IDR transfer And c cut The electric, heat and cold load pairs before and after IDR are respectively 0.18 yuan/kWh and 0.21 yuan/kWh, and are shown in FIG. 6 (a), FIG. 6 (b) and FIG. 6 (c). The carbon trade cost parameter table of each device is shown in table 1, and the energy trade price is shown in table 2.
TABLE 1 carbon transaction cost parameters
TABLE 2 energy transaction price
2. Park low-carbon economic operation scheme considering carbon capture and carbon transaction
In order to verify the economical efficiency and low carbon performance comparison in the invention, data comparison analysis is carried out on two parks of the same type, P2G is used as a control variable, and the transaction of the reward and punishment ladder type carbon is participated. The daily operation results are shown in Table 3. The park carbon emission pair is shown in figure 7.
Table 3 comparison of results of daily operations
| Low carbon park | Traditional park | |
| Total cost/meta | 136848.4218 | 146338.661 |
| Cost/meta of electric transaction | 84721.5911 | 67776.9467 |
| Cost/yuan of gas trade | 35293.4535 | 56885.2271 |
| Operation and maintenance costs/elements | 8829.6237 | 7024.0305 |
| New energy punishment cost/element | 0 | 202.5 |
| User compensated cost/element | 528.5802 | 923.3973 |
| Carbon trade costs/metas | 7475.1733 | 13477.5593 |
| Carbon emission/kg | 50550.5775 | 79600.94 |
The analysis can be achieved, because of the introduction of the P2G equipment, the electricity purchasing cost of the low-carbon park is higher, but MR in the P2G reduces the natural gas purchasing amount of the park, the total cost of the traditional park and the low-carbon park is reduced, and the requirement of the system economy is met; meanwhile, the low-carbon park is greatly reduced. Therefore, the introduction of the P2G can reduce carbon emission of a park and promote the consumption of new energy while meeting the economic benefit requirement of the park. The output curves of the power supply equipment of the low-carbon park and the power supply equipment of the traditional park are shown in fig. 8 (a) and 8 (b), the output of the low-carbon unit is increased as a result, the aim of low-carbon emission reduction of the park is achieved, and the dual requirements of low carbon property and economy are met.
Claims (10)
1. A method of low carbon economic operation for a campus that takes into account carbon capture and carbon transactions, comprising the steps of:
step A, processing the uncertainty risk of new energy based on an improved light robust optimization model, taking an optimal decision scheme of a system with the available output in a set in the worst case into consideration, getting rid of the dependence on an optimal solution of a linear planning problem, establishing an excitation type load comprehensive demand response model, and calculating user compensation benefits according to the total amount of transferable load and reducible load;
step B, establishing an operation model of the energy conversion equipment and the energy storage equipment, and listing and writing electric, gas, heat, cold and hydrogen multi-energy flow balance equations;
establishing an industrial park carbon footprint accounting model considering different stages of energy extraction, energy transportation, power generation operation and waste gas treatment and greenhouse gas emission in different energy chains by using a life cycle evaluation method;
and D, on the premise of establishing an inter-garden electric energy interaction channel, comparing the low-carbon property and the economical efficiency of the low-carbon garden comprehensive energy system with those of the traditional garden comprehensive energy system, and verifying the low-carbon property and the economical efficiency of the system on the premise of meeting the low-carbon economical optimization operation target.
2. The method of low carbon economic operation for a campus taking into account carbon capture and carbon trade according to claim 1, wherein the improved light robust optimization model in step a is:
s.t.
in the method, in the process of the invention,punishment cost for discarding new energy; p (P) PV,t 、P WT,t The output of the photovoltaic unit and the output of the wind turbine at the moment t are respectively; c PV 、c WT Penalty coefficient vectors respectively representing the output of the photovoltaic unit and the output of the wind turbine unit; omega 1 、ω 2 Is a weight vector; gamma ray 1 、γ 2 The relaxation degree of the robust constraint; />And the uncertain parameters are respectively used for converting the output of the photovoltaic unit and the output of the wind power unit in the linear constraint.
3. The method of low carbon economic operation on a campus that allows for carbon capture and carbon trading of claim 1, wherein the user compensation benefits in step a include:
in the method, in the process of the invention,compensating revenue for the motivating IDR user; c transfer 、c cut User compensation prices for unit power transfer and curtailment, respectively; p (P) transfer.t 、P cut.t The transferable load and the reducible load at the time t are respectively represented;
load classification and constraint:
wherein P is load,t The load after the user participates in the excitation type load comprehensive demand response model is used; p (P) base.t The basic load at the time t is indicated,the sum of transferable loads is 0 in one period; p (P) transfer.max 、P cut.max The upper limit of the transferable load and the upper limit of the reducible load at any time are respectively set, T is time, and 24 hours are taken.
4. The method for low carbon economic operation in a campus with carbon capture and carbon trade considered according to claim 1, wherein the energy conversion equipment in step B comprises electric conversion equipment, cogeneration units, electric boilers, gas boilers, absorption refrigerators, ice storage air conditioners.
5. The method of low carbon economic operation on a campus taking into account carbon capture and carbon transactions according to claim 1 wherein said energy storage device in step B comprises a battery, a thermal storage tank, a natural gas energy storage device.
6. The method of low carbon economic operation on a campus taking into account carbon capture and carbon trade according to claim 1, wherein the electricity, gas, heat, cold, hydrogen multi-energy flow balance equations in step B are as follows:
P AC.c,t +P AR.c,t ＝P load.c,t
P EL.H2,t ＝P HFC.H2,t +P MR.H2,t
wherein P is GB.g,t 、P EB.e,t 、P AC.e,t 、P AR.h,t Gas cooker with t time respectivelyThe electric boiler is connected with the electric boiler through a pipeline, and the electric boiler is connected with the electric boiler through an electric power source; p (P) GB.h,t 、P EB.h,t 、P AC.c,t 、P AR.c,t The output heat power of the gas boiler, the output heat power of the electric boiler, the output cold power of the ice storage air conditioner and the output cold power of the absorption refrigerator at the moment t are respectively;the charging power of the storage battery, the discharging power of the storage battery, the charging power of the natural gas energy storage, the discharging power of the natural gas energy storage, the charging power of the thermal energy storage and the discharging power of the thermal energy storage at the time t respectively; p (P) load.e,t 、P load.h,t 、P load.c,t The method is characterized in that the electric, thermal and cold loads in a comprehensive energy system of a park at the moment t are calculated;and respectively obtaining electricity purchasing power, electricity selling power and gas purchasing power of the park comprehensive energy system to the power distribution network at the moment t.
7. The method of low carbon economic operation on a campus taking into account carbon capture and carbon transactions according to claim 1, 4 or 5, wherein the model of operation of the energy conversion device in step B comprises:
and the power conversion equation of the cogeneration unit is as follows:
wherein P is CHP.g,t Natural gas power is input to a cogeneration unit; p (P) CHP.e,t 、P CHP.h,t The electric power and the thermal power are output by the cogeneration unit respectively; η (eta) CHP.h 、η CHP.e The heat transfer and the electric efficiency of the cogeneration unit at the moment t are respectively;
constraint equation of cogeneration unit:
wherein P is CHP.g,t Natural gas power is input to a cogeneration unit; p (P) CHP.e,t 、P CHP.h,t The electric power and the thermal power are output by the cogeneration unit respectively; η (eta) CHP.h 、η CHP.e The heat transfer and the electric efficiency of the cogeneration unit at the moment t are respectively;the upper limit and the lower limit of the input power of the cogeneration unit at the moment t are respectively set; />The climbing constraint upper limit and the climbing constraint lower limit of the cogeneration unit at the moment t are adopted; />The upper limit and the lower limit of the thermoelectric ratio of the cogeneration unit are respectively set;
power conversion equation of gas boiler, electric boiler, ice cold storage air conditioner and absorption refrigerator:
P out,m,t ＝η m P in,m,t
wherein P is in,m,t 、P out,m,t Respectively inputting and outputting power at the moment t of the mth energy conversion equipment; η (eta) m Energy conversion efficiency for the mth station apparatus;
constraint equation of gas boiler, electric boiler, ice cold storage air conditioner and absorption refrigerator:
in the method, in the process of the invention,the upper limit and the lower limit of the input power of the mth equipment are respectively; />The upper limit and the lower limit of climbing constraint of the mth equipment are defined;
power conversion equation for electrical switching apparatus:
P EL.H2,t ＝η EL P EL.e,t
P MR.g,t ＝η MR P MR.H2,t
wherein P is EL.e,t 、P MR.H2,t 、P HFC.H2,t Respectively inputting electric power to the electrolytic tank and inputting H to the methane reactor at the moment t 2 Quantity and hydrogen fuel cell input H 2 An amount of; p (P) EL.H2,t 、P HFC.e,t 、P HFC.t,t For t time of electrolytic cell output H 2 The quantity and the hydrogen fuel cell output electric and thermal power; η (eta) EL 、η MR The energy conversion ratio of the electrolytic tank and the methane reactor; η (eta) HFC.e 、η HFC.t A hydrogen-to-electricity, hydrogen-to-heat conversion ratio for a hydrogen fuel cell;
constraint equation of electric conversion equipment:
wherein P is EL.e,t 、P MR.H2,t 、P HFC.H2,t Respectively inputting electric power to the electrolytic tank and inputting H to the methane reactor at the moment t 2 Quantity and hydrogen fuel cell input H 2 An amount of; p (P) EL.H2,t 、P HFC.e,t 、P HFC.t,t 、P MR.g,t For t time of electrolytic cell output H 2 The quantity, the output electricity and the thermal power of the hydrogen fuel cell and the output gas power of the methane reactor; η (eta) EL 、η MR The energy conversion ratio of the electrolytic tank and the methane reactor; η (eta) HFC.e 、η HFC.t A hydrogen-to-electricity, hydrogen-to-heat conversion ratio for a hydrogen fuel cell;the upper limit and the lower limit of the input of the electrolytic tank, the methane reactor and the hydrogen fuel cell are respectively; /> The upper limit and the lower limit of climbing constraint of the electrolytic tank, the methane reactor and the hydrogen fuel cell are respectively; />The upper limit and the lower limit of the thermoelectric ratio of the hydrogen fuel cell are respectively.
8. The method of low carbon economic operation on a campus taking into account carbon capture and carbon transactions according to claim 6, wherein the model of operation of the energy storage device in step B is as follows:
the power storage equation:
in the method, in the process of the invention,charging power and discharging power at t time of the nth energy storage device respectively; />Charging power and discharging power for the nth energy storage device; s is S ES.n,t 、S ES.n,t-1 The capacity of the nth energy storage device at the time t and the time t-1 respectively;
constraint equation:
in the method, in the process of the invention,respectively charging and discharging power at t time of the nth energy storage device; />Charging and discharging efficiency of the nth energy storage device respectively; />Respectively charging and discharging the marking positions at the moment t of the nth energy storage device; /> The maximum power is charged and discharged for the nth energy storage device for a single time respectively; s is S ES.n,t The capacity of the nth energy storage device at the moment t respectively;the upper limit and the lower limit of the capacity of the nth energy storage device are respectively set.
9. The method of low carbon economic operation of a campus taking into account carbon capture and carbon transactions according to claim 1, wherein said industrial campus carbon footprint accounting model in step C includes:
E PIES ＝E PIES.e +E PIES.g
wherein E is PIES 、E PIES.e 、E PIES.g Carbon emission rights quota for park comprehensive energy system, electricity purchasing production and natural gas production respectively;
E PIES.a ＝E PIES.a.e +E PIES.a.g -E PIES.a.MR
wherein E is PIES.a 、E PIES.a.e 、E PIES.a.g The actual carbon emission amounts of the park comprehensive energy system, the electricity purchasing production and the natural gas production are respectively; e (E) PIES.a.MR Actual CO absorption for methane reactor 2 An amount of;
E PIES,t ＝E PIES.a -E PIES
wherein E is PIES,t Trade amount for carbon emission rights;
in the method, in the process of the invention,cost for carbon trade; c is the trade price of the unit carbon emission rights in the carbon trade market; h is the carbon emission interval length; lambda and mu are penalty factors and compensation factors respectively.
10. The method of low carbon economic operation for a campus taking into account carbon capture and carbon transactions according to claim 1, wherein the low carbon economic optimization operation objective in step D is as follows:
wherein F is PIES 、The method comprises the steps of respectively integrating the total cost of an energy system, the energy transaction cost, the operation cost of energy conversion equipment and the operation cost of energy storage equipment in a park; />The price of electricity selling, electricity purchasing and gas purchasing are respectively; m is the type of energy conversion equipment in the park comprehensive energy system; n is the energy storage device class; p (P) m,t 、P n,t Respectively the input power of the mth and nth devices at the moment t; f (f) m Is a cost factor for the mth conversion device; a, a n 、b n 、c n Are all cost factors of the nth energy storage device; t is time, taken for 24 hours.
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