CN111754133B - Comprehensive energy system 'source-charge' low-carbon economic dispatching method considering carbon trapping system - Google Patents
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Abstract
The invention relates to an optimized dispatching method of an electric comprehensive energy system, in particular to a low-carbon economic dispatching method of a comprehensive energy system 'source-load' taking a carbon trapping system into consideration, which is implemented by connecting a carbon storage device with a carbon trapping power plant and an electric gas conversion device as a hub and introducing comprehensive demand response.
Description
Technical Field
The invention relates to a low-carbon economic dispatching method of an electric-gas comprehensive energy system, in particular to a 'source-charge' low-carbon economic dispatching method of a comprehensive energy system considering a carbon trapping system.
Technical Field
In recent years, energy crisis and greenhouse effect are increasingly aggravated, and CO is reduced 2 Becomes a core consensus and key measure for coping with global climate change. Currently, the power industry is the largest CO in the national economy of China 2 The emission department also shows possible emission reduction potential while facing huge emission reduction pressure. In addition, in the time background of energy conservation, emission reduction and low-carbon economy development, renewable energy sources represented by wind energy meet good development opportunities. Since wind power output often existsThe characteristics of strong intermittence and high randomness cause the great increase of the peak shaving demands of the power grid, and bring serious challenges to the safe operation of the power grid.
The electric-gas comprehensive energy system is an integrated system which comprises an electric energy structure and an air energy structure, and can be formed by the coordination and optimization of equipment such as an energy conversion device, a storage facility and the like, and the establishment of the electric-gas comprehensive energy system is an effective way for realizing low-carbon operation. The carbon trapping and sealing technology is the current optimal choice for realizing low carbonization of electric power, a carbon trapping system is arranged on a thermal power unit to form a carbon trapping power plant, so that the carbon emission intensity of the unit can be remarkably reduced, the trapped greenhouse gas is conveyed to a safe sealing place, and stored CO is carried out at a wind power output peak 2 And the methane is synthesized by supplying the electricity to the gas conversion device, so that the problem of the consumption of residual wind power is effectively solved.
Besides, the carbon trapping system and the electric conversion technology improve the operation performance of the electric-gas comprehensive energy system through the optimization of a source side, and the demand response can guide a user to change the energy utilization mode through changing the energy price, so that the electric and gas load curves are stabilized from a load side, and the operation economy of the comprehensive energy system is further improved.
Current research into integrated energy systems for carbon capture systems is mostly limited only by the generation of CO in flue gas from coal-fired power plants 2 But does not take into account how the captured CO is subsequently subjected to the capture to reduce carbon tax costs 2 To be used and how to solve the problem of mismatch between the carbon capture and the operation cycle of the electric transfer. In addition, most of the current researches focus on the analysis of scheduling conditions of carbon capture equipment or demand response combined with a traditional single energy system, the operation mechanism of the carbon capture system in the comprehensive energy system and the coordination with a load side are not researched, and along with the gradual increase of energy saving and emission reduction pressure, the feasibility and the practicability of the optimization method are greatly limited.
Therefore, when the carbon emission reduction of the carbon capture system is considered, the carbon storage equipment is introduced to connect the carbon capture power plant and the electric conversion equipment, so that sufficient carbon sources are ensured to synthesize methane when the electric conversion equipment is started, and the operation performance of the electric-gas comprehensive energy system is improved through the optimization of the source side; meanwhile, the coordination and coordination of the alternatives of the electric power and the natural gas and the comprehensive demand response characteristic are considered, and the method has important significance for improving the operation efficiency of the electric-gas comprehensive energy system and the utilization rate of new energy.
Disclosure of Invention
The invention establishes a flexible operation mode of connecting a carbon capture power plant and electric conversion gas by taking carbon storage equipment as a hinge; considering the influence of time-sharing energy price, establishing a comprehensive demand response model reflecting the longitudinal demand response of the same energy time shifting effect and the transverse demand response of different energy substitution effects; based on the comprehensive demand response and the low-carbon operation mechanism, the operation constraint of the power system and the natural gas system is considered, the minimum comprehensive operation cost of the electric-gas comprehensive energy system is taken as a decision target, and the low-carbon economic dispatching method is determined, so that the wind power consumption is promoted, and meanwhile, the carbon emission is effectively reduced.
The invention is realized by adopting the following technical scheme: a comprehensive energy system 'source-charge' low-carbon economic dispatching method considering a carbon capture system comprises the following steps:
s1: combining the operation characteristics of the carbon capture power plant and the electric gas conversion equipment, establishing a mathematical model of the carbon storage equipment, and establishing a flexible operation mode for connecting the carbon capture power plant and the electric gas conversion equipment by taking the mathematical model as a junction;
s2: aiming at a user using only one energy source, determining the load transfer quantity, the load reduction quantity and the load rebound quantity corresponding to the response of the user participation longitudinal demands;
s3: for a user capable of simultaneously using electricity and gas energy to meet the self energy consumption requirement, considering the electricity-gas heat value conversion rate and the utilization rate, and determining the substitution quantity of the electricity-gas substitutable load after the user participates in the transverse demand response;
s4: and establishing a low-carbon economic dispatching model with the minimum comprehensive operation cost of the electric-gas comprehensive energy system as a decision target, improving the operation performance of a source side in the model through a carbon capture system and an electric conversion technology, optimizing a load curve by adopting a comprehensive demand response model reflecting longitudinal demand response of the same energy time shifting action and reflecting transverse demand response of different energy substitution action on a load side, considering related operation constraint, and determining an optimal dispatching method.
The method for 'source-charge' low-carbon economic dispatching of the comprehensive energy system considering the carbon capture system establishes a mathematical model of carbon storage equipment as follows:wherein:the carbon storage amount of the carbon storage equipment s at the time t-1 and the time t respectively; />For time t CO 2 Output quantity; />CO captured for period t 2 An amount of; lambda (lambda) s Is the loss coefficient of carbon storage; />Is a carbon storage amount constraint of a carbon storage device, wherein +.>The minimum and maximum carbon storage amounts of the carbon storage device s, respectively.
The comprehensive energy system 'source-charge' low-carbon economic dispatching method considering the carbon capture system comprises the following longitudinal demand response model: l (L) VDR =△L VDR +L re -△L re ,△L VDR Delta L is the load transfer amount re L is reduced by the load re Is the load rebound amount.
The comprehensive energy system 'source-charge' low-carbon economic dispatching method considering the carbon capture system comprises the following steps of:wherein: />And->The electric load is the electric load after response; />And->For responding to the previous alternative electric and gas load, < >>For the replacement of an electrically replaceable load, +.>A substitute amount for the gas-substitute load; η is the conversion rate of the electric-gas heat value,Q e and Q g The unit power and the natural gas heating value are respectively; lambda (lambda) e And lambda (lambda) g The utilization efficiency of the electric power and the natural gas respectively.
The method for low-carbon economic dispatching of the comprehensive energy system 'source-charge' taking the carbon trapping system into consideration has the optimization goal of the dispatching model of the minimum comprehensive cost fMIZE of the electric-gas comprehensive energy system,wherein C is y For the running cost of the system, C q For wind abandon cost, add>Is CO 2 Related costs, C b Compensating costs for load shedding in longitudinal demand response; running cost C of the system y The method comprises the steps of running cost of a thermal power unit, gas consumption cost of a gas unit and running cost of an electric conversion device; CO 2 Related costs->Including the carbon tax costs of fossil fuel units to emit carbon dioxide and the carbon storage costs of carbon storage facilities.
The method for 'source-charge' low-carbon economic dispatching of the comprehensive energy system considering the carbon capture system, wherein the optimization target network constraint comprises the following steps: 1) The power grid operation constraint comprises power balance constraint, unit output constraint, unit climbing constraint, line maximum power transmission constraint, voltage phase angle constraint and the like; 2) Natural gas network operating constraints: natural gas flow balance constraint, gas source point gas supply constraint, gas storage tank constraint, node pressure constraint and the like; 3) Electrical coupling device operation constraints: compressor compression ratio constraints and P2G power consumption constraints; 4) Carbon capture and carbon storage equipment constraints.
The invention provides a 'source-charge' low-carbon economic dispatching method of an electric-gas integrated energy system, which considers a carbon capture system and an integrated demand response, combines the operation characteristics of a carbon capture power plant and an electric conversion device, proposes a flexible operation mode taking carbon storage equipment as a hub, simultaneously introduces a time-sharing price mechanism of two energy sources of electricity and gas, establishes an integrated demand response model reflecting the longitudinal demand response of the time-shifting effect of the same energy source and the transverse demand response of the substitution effect of different energy sources, and reduces the carbon emission of the system while effectively promoting the wind power consumption. The method has very important effects on improving the economical efficiency and the low-carbon environmental protection performance of the operation of the electric-gas comprehensive energy system, and has very important practical significance and popularization and application value on planning and optimizing the dispatching of the electric-gas comprehensive energy system.
Detailed Description
A comprehensive energy system 'source-charge' low-carbon economic dispatching method considering a carbon capture system comprises the following steps:
step 1: and establishing a mathematical model of the carbon storage equipment, and constructing a flexible operation mode of connecting the carbon capture power plant and the electric gas conversion equipment by using the mathematical model as a junction.
Modification of coal-fired power plant after adding carbon capture equipment in traditional coal-fired power plantFor a carbon capture plant, since the electrical conversion is only started when there is a wind break in the system, the carbon capture plant has CO during the operation of the coal-fired plant 2 The trapping production is that there is a dislocation in physical space among the three of the carbon trapping power plant, the electric gas conversion equipment and the wind power plant, so in order to solve the problem that the two are unequal in running time and space, a carbon storage equipment is added between the electric gas conversion equipment and the carbon trapping power plant to trap the CO of the carbon 2 And the storage ensures that sufficient carbon sources are available for synthesizing methane during the starting of the electric conversion gas.
CO due to carbon capture 2 After compressed and stored, there is a partial loss during transportation to the carbon storage facility, and CO is considered 2 The characteristic of easy volatilization when being compressed to be solid for storage increases the consideration of carbon storage loss when the carbon storage equipment is modeled, and introduces the coefficient of carbon storage loss. Establishing a mathematical model of the carbon storage equipment as shown in (1):
wherein:the carbon storage amount of the carbon storage equipment s at the time t-1 and the time t respectively; />For time t CO 2 Output quantity; />CO captured for period t 2 An amount of; lambda (lambda) s Is the loss coefficient of carbon storage; formula (2) is a carbon storage amount constraint of a carbon storage device, wherein +.>The minimum and maximum carbon storage amounts of the carbon storage device s, respectively.
After the carbon trapping system is introduced, the carbon trapping system is used for trapping CO in the flue gas generated by the fossil fuel unit 2 And in addition, after the carbon capture power plant and the electric gas conversion equipment are coupled through the carbon storage equipment, the captured carbon dioxide can be further utilized, the methane is synthesized by utilizing surplus electric energy in the air abandoning period, and higher economic benefit is created while the air abandoning cost of the system is reduced.
Step 2: aiming at a user using only one energy source, an electric/gas longitudinal demand response model is established according to the characteristic that the energy consumption period transfer or load reduction is spontaneously carried out by price signals of the energy source in different periods.
For transferable loads, the user can spontaneously reduce the load demand of the period according to the time-sharing energy price in the period with higher energy price and transfer the load demand to the period with lower adjacent energy price, and the load transfer quantity delta L of electric power and natural gas in each energy using period VDR The energy price change rate can be determined according to the price elastic matrix E of the load.
For the load reduction, at the peak of energy price, the user usually reduces a part of unnecessary load, but the reduced load may generate load rebound in a later time period according to the reduced load quantity DeltaL re The load rebound quantity L of each period can be determined by the corresponding load rebound coefficient re Further, the load change amount after the load reduction by the user is determined.
After the longitudinal demand response, the corresponding load variation is shown as the formula (3):
L VDR =△L VDR +L re -△L re (3)
the load peak value is reduced after the user makes a longitudinal response action according to the time-sharing energy price, the energy consumption in the valley period is increased, the wind power output peak is usually generated in the load valley period due to the anti-peak regulation characteristic of wind power, the utilization rate of wind power is increased after the longitudinal demand response, the wind discarding cost of the system is reduced, and in addition, the output of the high energy consumption unit in the load peak value is reduced due to the reduction of the load peak value, and the running cost of the corresponding unit is also reduced.
Step 3: for a user capable of simultaneously using electricity and gas energy to meet the self energy consumption requirement, according to the user, according to the distribution condition of multiple energy prices at the same time point, an energy transverse demand response model is established through the characteristic that energy substitution meets the energy consumption requirement.
The lateral demand response is mainly dependent on the relative relationship between electricity prices and natural gas prices in integrated energy systems. When the electricity price is higher, the multi-energy user can select to use gas so as to reduce the electricity consumption; when the electricity price is low, the multi-energy user can increase the electricity consumption and reduce the gas consumption.
The mutual replacement of the electric load and the gas load in the electric-gas comprehensive energy system meets the law of conservation of energy, and the heat value equivalent is used for modeling the transverse demand response:
wherein:and->The electric load is the electric load after response; />And->For responding to the previous alternative electrical load; η is the electrical-to-gas heating value conversion rate; q (Q) e And Q g The unit power and the natural gas heating value are respectively; lambda (lambda) e And lambda (lambda) g The utilization efficiency of the electric power and the natural gas respectively.
According to the relative relation between electricity price and air price, the user makes a transverse demand response action, and the transverse demand response is similar to the longitudinal demand response, so that the peak clipping and valley filling of the load can be achieved, the effects of reducing the system air abandoning cost and the high energy consumption unit operation cost are achieved, and the economic operation of the system is further realized.
Step 4: and (3) taking into account a carbon capture system and a comprehensive demand response 'source-charge' low-carbon economic dispatch of an electric-gas comprehensive energy system.
The optimization goal of the scheduling model is that the comprehensive cost fmin of the electric-gas comprehensive energy system, namely
Wherein C is y For the running cost of the system, C q In order to discard the cost of the wind,is CO 2 Related costs, C b Compensating costs for load shedding in longitudinal demand response.
Running cost C of the system y The method comprises the steps of running cost of a thermal power unit, gas consumption cost of a gas unit and running cost of an electric conversion device; CO 2 Related costsIncluding the carbon tax costs of fossil fuel units to emit carbon dioxide and the carbon storage costs of carbon storage facilities.
Optimizing the target network constraints includes: 1) The power grid operation constraint comprises power balance constraint, unit output constraint, unit climbing constraint, line maximum power transmission constraint, voltage phase angle constraint and the like; 2) Natural gas network operating constraints: natural gas flow balance constraint, gas source point gas supply constraint, gas storage tank constraint, node pressure constraint and the like; 3) Electrical coupling device operation constraints: compressor compression ratio constraints and P2G power consumption constraints; 4) Carbon capture and carbon storage equipment constraints.
The invention provides a 'source-charge' low-carbon economic dispatching method of an electric-gas integrated energy system, which considers a carbon capture system and an integrated demand response, combines the operation characteristics of a carbon capture power plant and an electric conversion device, proposes a flexible operation mode taking carbon storage equipment as a hub, simultaneously introduces a time-sharing price mechanism of two energy sources of electricity and gas, establishes an integrated demand response model reflecting the longitudinal demand response of the time-shifting effect of the same energy source and the transverse demand response of the substitution effect of different energy sources, and reduces the carbon emission of the system while effectively promoting the wind power consumption. The method has very important effects on improving the economical efficiency and the low-carbon environmental protection performance of the operation of the electric-gas comprehensive energy system, and has very important practical significance and popularization and application value on planning and optimizing the dispatching of the electric-gas comprehensive energy system.
Claims (6)
1. The 'source-charge' low-carbon economic dispatching method of the comprehensive energy system considering the carbon capture system is characterized by comprising the following steps of:
s1: combining the operation characteristics of the carbon capture power plant and the electric gas conversion equipment, establishing a mathematical model of the carbon storage equipment, and establishing a flexible operation mode for connecting the carbon capture power plant and the electric gas conversion equipment by taking the mathematical model as a junction;
s2: aiming at a user using only one energy source, determining the load transfer quantity, the load reduction quantity and the load rebound quantity corresponding to the response of the user participation longitudinal demands;
s3: for a user capable of simultaneously using electricity and gas energy to meet the self energy consumption requirement, considering the electricity-gas heat value conversion rate and the utilization rate, and determining the substitution quantity of the electricity-gas substitutable load after the user participates in the transverse demand response;
s4: and establishing a low-carbon economic dispatching model with the minimum comprehensive operation cost of an electricity-gas comprehensive energy system as a decision target, improving the operation performance of a source side in the model through a carbon capture system and an electricity-gas conversion technology, optimizing a load curve by adopting a comprehensive demand response model reflecting longitudinal demand response of spontaneously carrying out energy consumption time period transfer or load characteristic reduction according to price signals of the same energy source in different time periods and reflecting transverse demand response of carrying out different energy substitution according to the relative relation of electricity price and gas price, and determining an optimal dispatching method by considering related operation constraint.
2. The comprehensive energy system 'source-charge' low-carbon economic dispatching method considering a carbon capture system as claimed in claim 1, wherein the mathematical model of the established carbon storage equipment is:
wherein: />The carbon storage amount of the carbon storage equipment s at the time t-1 and the time t respectively; />For time t CO 2 Output quantity; />CO captured for period t 2 An amount of; lambda (lambda) s Is the loss coefficient of carbon storage; />Is a carbon storage amount constraint of a carbon storage device, wherein +.>The minimum and maximum carbon storage amounts of the carbon storage device s, respectively.
3. The comprehensive energy system 'source-charge' low-carbon economic dispatching method considering the carbon capture system as claimed in claim 2, wherein the longitudinal demand response model is as follows: l (L) VDR =ΔL VDR +L re -ΔL re ,L VDR As the load variation amount, deltaL VDR ΔL as load transfer amount re L is reduced by the load re Is the load rebound quantity;
for transferable loads, the user can spontaneously reduce the load demand of the period according to the time-sharing energy price in the period with higher energy price and transfer the load demand to the period with lower adjacent energy price, and the load transfer quantity delta L of electric power and natural gas in each energy using period VDR According to the load price elastic matrix E and the energy price change rate,
for the load reduction, at peak energy price, the user reduces a part of unnecessary load, but the reduced load may generate load rebound in a later time period according to the reduced load amount DeltaL re The load rebound quantity L of each period can be determined by the corresponding load rebound coefficient re Further, the load change amount after the load reduction by the user is determined.
4. A comprehensive energy system 'source-charge' low-carbon economic dispatch method considering a carbon capture system according to claim 3, wherein the transverse demand response model is:
wherein: />And->The electric and gas after response can replace the load; />And->For responding to the previous alternative electric and gas load, < >>For the replacement of an electrically replaceable load, +.>A substitute amount for the gas-substitute load; eta is the conversion rate of the electric-gas heat value and +.>Q e And Q g The unit power and the natural gas heating value are respectively; lambda (lambda) e And lambda (lambda) g The utilization efficiency of the electric power and the natural gas respectively;
the transverse demand response depends on the relative relation between electricity price and natural gas price in the comprehensive energy system, and when the electricity price is high, the multi-energy user can select to use gas to reduce the electricity consumption; when the electricity price is low, the multi-energy user can increase the electricity consumption and reduce the gas consumption.
5. A comprehensive energy system 'source-charge' low-carbon economic dispatching method considering a carbon capture system according to claim 4, wherein the optimization target of the dispatching model is the comprehensive cost fmin of the electric-gas comprehensive energy system,wherein C is y For the running cost of the system, C q For wind abandon cost, add>Is CO 2 Related costs, C b Compensating costs for load shedding in longitudinal demand response; running cost C of the system y The method comprises the steps of running cost of a thermal power unit, gas consumption cost of a gas unit and running cost of an electric conversion device; CO 2 Related costs->Including the carbon tax costs of fossil fuel units to emit carbon dioxide and the carbon storage costs of carbon storage facilities.
6. The method for "source-load" low-carbon economic dispatch of an integrated energy system taking into account a carbon capture system according to claim 5, wherein optimizing target network constraints comprises: 1) The power grid operation constraint comprises power balance constraint, unit output constraint, unit climbing constraint, line maximum power transmission constraint and voltage phase angle constraint; 2) Natural gas network operating constraints: natural gas flow balance constraint, gas source point gas supply constraint, gas storage tank constraint and node pressure constraint; 3) Electrical coupling device operation constraints: compressor compression ratio constraints and P2G power consumption constraints; 4) Carbon capture and carbon storage equipment constraints.
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CN113327180B (en) * | 2021-07-05 | 2023-09-29 | 华北电力大学 | Low-carbon economic dispatching method and system for electric power system considering hydrogen energy application |
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CN113972662B (en) * | 2021-10-19 | 2024-03-19 | 中国电力科学研究院有限公司 | Integrated energy production unit and method |
CN114865631B (en) * | 2022-07-05 | 2022-09-20 | 华东交通大学 | Optimal distribution robust economic scheduling method for source-load cooperative carbon reduction integrated energy system |
CN115062869B (en) * | 2022-08-04 | 2022-12-09 | 国网山东省电力公司东营供电公司 | Comprehensive energy scheduling method and system considering carbon emission |
CN115859686B (en) * | 2023-02-07 | 2023-05-09 | 山东科技大学 | Comprehensive energy system low-carbon scheduling method and system considering expanded carbon emission flow |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
AU2011254068A1 (en) * | 2009-02-04 | 2012-01-19 | Applied Hybrid Energy Pty Ltd | Electrical power generating system |
CN103106621A (en) * | 2013-01-18 | 2013-05-15 | 长沙理工大学 | In-plant optimizing operation method for carbon capture unit under transaction of carbon emission permits |
CN108173282A (en) * | 2017-12-29 | 2018-06-15 | 国网山东省电力公司电力科学研究院 | A kind of consideration electricity turns gas operating cost integrated energy system Optimization Scheduling |
CN108304996A (en) * | 2018-01-15 | 2018-07-20 | 燕山大学 | A kind of carbon trapping system based on low-carbon benefit and wind-powered electricity generation harmonization of investment analysis method |
CN109488398A (en) * | 2018-12-03 | 2019-03-19 | 华电电力科学研究院有限公司 | CO in low grade residual heat utilization and flue gas is realized in the Distribution of Natural formula energy2Trap the method and system utilized |
Family Cites Families (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20100257124A1 (en) * | 2009-04-07 | 2010-10-07 | Ramesh Srinivasan | Method for industrial energy and emissions investment optimization |
US20130261818A1 (en) * | 2012-03-30 | 2013-10-03 | Alstom Technology Ltd | Integrated electric power generation and steam demand control system for a post combustion co2 capture plants |
-
2020
- 2020-06-30 CN CN202010621289.4A patent/CN111754133B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
AU2011254068A1 (en) * | 2009-02-04 | 2012-01-19 | Applied Hybrid Energy Pty Ltd | Electrical power generating system |
CN103106621A (en) * | 2013-01-18 | 2013-05-15 | 长沙理工大学 | In-plant optimizing operation method for carbon capture unit under transaction of carbon emission permits |
CN108173282A (en) * | 2017-12-29 | 2018-06-15 | 国网山东省电力公司电力科学研究院 | A kind of consideration electricity turns gas operating cost integrated energy system Optimization Scheduling |
CN108304996A (en) * | 2018-01-15 | 2018-07-20 | 燕山大学 | A kind of carbon trapping system based on low-carbon benefit and wind-powered electricity generation harmonization of investment analysis method |
CN109488398A (en) * | 2018-12-03 | 2019-03-19 | 华电电力科学研究院有限公司 | CO in low grade residual heat utilization and flue gas is realized in the Distribution of Natural formula energy2Trap the method and system utilized |
Non-Patent Citations (1)
Title |
---|
林紫菡 ; 蒋晨威 ; 陈明辉 ; 尚慧玉 ; 赵宏伟 ; 阳曾 ; 王一铮 ; 文福拴 ; .计及柔性负荷的综合能源系统低碳经济运行.电力建设.2020,(第05期),全文. * |
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