CN115829391A - Method and terminal for evaluating carbon emission of electric power system in new energy grid-connected scene - Google Patents
Method and terminal for evaluating carbon emission of electric power system in new energy grid-connected scene Download PDFInfo
- Publication number
- CN115829391A CN115829391A CN202211504850.6A CN202211504850A CN115829391A CN 115829391 A CN115829391 A CN 115829391A CN 202211504850 A CN202211504850 A CN 202211504850A CN 115829391 A CN115829391 A CN 115829391A
- Authority
- CN
- China
- Prior art keywords
- power
- coal
- new energy
- carbon emission
- constraint
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 title claims abstract description 64
- 229910052799 carbon Inorganic materials 0.000 title claims abstract description 64
- 238000000034 method Methods 0.000 title claims abstract description 52
- 239000003245 coal Substances 0.000 claims abstract description 36
- 238000004364 calculation method Methods 0.000 claims abstract description 34
- 238000010977 unit operation Methods 0.000 claims abstract description 4
- 238000004146 energy storage Methods 0.000 claims description 31
- 230000006870 function Effects 0.000 claims description 22
- 239000002028 Biomass Substances 0.000 claims description 17
- 238000010248 power generation Methods 0.000 claims description 13
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 10
- 230000009194 climbing Effects 0.000 claims description 9
- 238000012423 maintenance Methods 0.000 claims description 9
- 238000004590 computer program Methods 0.000 claims description 8
- 238000010276 construction Methods 0.000 claims description 7
- 230000005611 electricity Effects 0.000 claims description 5
- 238000011156 evaluation Methods 0.000 claims description 4
- 230000000452 restraining effect Effects 0.000 claims description 3
- 238000009434 installation Methods 0.000 description 7
- 238000011161 development Methods 0.000 description 6
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000005265 energy consumption Methods 0.000 description 2
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 description 2
- 239000003034 coal gas Substances 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000003345 natural gas Substances 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 239000003209 petroleum derivative Substances 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
Images
Landscapes
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention discloses a method and a terminal for evaluating carbon emission of an electric power system in a new energy grid-connected scene, which comprise the following steps: s1, collecting basic data under a new energy grid-connected scene; s2, determining an objective function and a constraint boundary condition thereof, wherein the objective function takes the minimum total running cost of the power system as a target; s3, establishing an operation scheduling model under a new energy grid-connected scene according to the constraint boundary condition and the objective function; s4, substituting the data and conditions in the steps S1 and S2 into the calculation model in the step S3 to obtain a thermal power unit operation output curve; and calculating the carbon emission of the regional power system under different new energy grid-connected scenes according to the operation output curve. The method avoids the use of an iterative algorithm, so that the process of calculating the carbon emission is simpler, more convenient and quicker, and the carbon emission condition of the coal power unit of various new energy sources under different grid-connected scenes is comprehensively and systematically calculated.
Description
Technical Field
The invention relates to the technical field of carbon emission evaluation, in particular to a method and a terminal for evaluating carbon emission of an electric power system in a new energy grid-connected scene.
Background
At present, the world energy consumption is centered on fossil energy such as coal, petroleum and natural gas, the excessive consumption of the fossil energy does not accord with the sustainable development direction, and serious negative environmental influences such as greenhouse effect and atmospheric pollution are generated. Under such circumstances, the development and utilization of clean renewable energy power generation have been an important position in energy consumption in the electric power field.
After a large amount of new energy electric power is connected to the grid, coal power is greatly influenced, different coal power operation modes can generate different operation costs and different carbon emission amounts, and therefore carbon emission calculation after different new energy power is connected to the grid is particularly important.
At present, no fixed solving method is used for solving the target function and the constraint condition of the carbon emission, but the solving process is complicated because the constraint condition is inequality constraint. The most common method at present is an iterative solution, i.e. starting from a certain selected initial point, according to some information of the objective function and the constraint condition at the point, a search direction and an appropriate step length of the iteration are determined, so as to reach a new point. The calculation of the method is complicated in calculation process and long in time because iterative calculation is carried out, and if the calculation scale is large, longer time is needed.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the method and the terminal for evaluating the carbon emission of the electric power system in the new energy grid-connected scene are provided, so that the process of calculating the carbon emission is simpler, more convenient and quicker, and the carbon emission conditions of the coal power unit in different grid-connected scenes of various new energies are comprehensively and systematically calculated.
In order to solve the technical problems, the invention adopts a technical scheme that:
a method for evaluating carbon emission of an electric power system in a new energy grid-connected scene comprises the following steps:
s1, collecting basic data under a new energy grid-connected scene;
s2, determining an objective function and a constraint boundary condition thereof, wherein the objective function takes the minimum total running cost of the power system as a target;
s3, establishing an operation scheduling model under a new energy grid-connected scene according to the constraint boundary condition and the objective function;
s4, substituting the data and conditions in the steps S1 and S2 into the calculation model in the step S3 to obtain a thermal power unit operation output curve; and calculating the carbon emission of the regional power system under different new energy grid-connected scenes according to the operation output curve.
In order to solve the technical problem, the invention adopts another technical scheme as follows:
a terminal for evaluating carbon emission of an electric power system in a new energy grid-connected scene comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor executes the computer program to realize the method for evaluating carbon emission of the electric power system in the new energy grid-connected scene.
The invention has the beneficial effects that: the method and the terminal for evaluating the carbon emission of the electric power system in the new energy grid-connected scene are provided, iterative calculation is not needed, the solving speed can be increased, the solving process is simple, and understanding is easy. All power generation modes are linked by adding constraint conditions, and the carbon emission condition of the coal power unit under different grid-connected scenes of various new energy sources can be comprehensively and systematically calculated. Different data are adopted, multiple groups of data under different new energy grid-connected scenes can be obtained after multiple times of calculation, and reference can be provided for the development direction of power supplies in the region by comparing the relation between the lowest operation cost and the carbon emission of each group of data.
Drawings
Fig. 1 is a flowchart of a method for evaluating carbon emission of an electric power system in a new energy grid-connected scene according to an embodiment of the present invention;
fig. 2 shows a first calculation result of different types of power output of the method for evaluating carbon emission of an electric power system in a new energy grid-connected scene according to the embodiment of the invention;
fig. 3 is a second calculation result of different types of power output of the method for evaluating carbon emission of an electric power system in a new energy grid-connected scene according to the embodiment of the present invention;
fig. 4 shows a third calculation result of different types of power output of the method for evaluating carbon emission of an electric power system in a new energy grid-connected scene according to the embodiment of the invention;
fig. 5 is a diagram of a relationship between the wind-solar installation increase ratio and the total emission change of the coal-electric machine set in the method for evaluating the carbon emission of the electric power system in the new energy grid-connected scene according to the embodiment of the present invention;
fig. 6 is an architecture diagram of a power system carbon emission amount evaluation terminal in a new energy grid-connected scene according to an embodiment of the present invention.
Detailed Description
In order to explain technical contents, achieved objects, and effects of the present invention in detail, the following description is made with reference to the accompanying drawings in combination with the embodiments.
Referring to fig. 1, an embodiment of the present invention provides a method for estimating carbon emission of an electric power system in a new energy grid-connected scenario, including the following steps:
s1, collecting basic data under a new energy grid-connected scene;
s2, determining an objective function and a constraint boundary condition thereof, wherein the objective function takes the minimum total running cost of the power system as a target;
s3, establishing an operation scheduling model under a new energy grid-connected scene according to the constraint boundary condition and the objective function;
s4, substituting the data and conditions in the steps S1 and S2 into the calculation model in the step S3 to obtain an operation output curve of the thermal power generating unit; and calculating the carbon emission of the regional power system under different new energy grid-connected scenes according to the operation output curve.
As can be seen from the above description, the beneficial effects of the present invention are: the method for evaluating the carbon emission of the power system in the new energy grid-connected scene is provided, iterative calculation is not needed, the solving speed can be increased, the solving process is simple, and understanding is easy. All power generation modes are linked by adding constraint conditions, and the carbon emission condition of the coal power unit under different grid-connected scenes of various new energy sources can be comprehensively and systematically calculated. Different data are adopted, multiple groups of data under different new energy grid-connected scenes can be obtained after multiple times of calculation, and reference can be provided for the development direction of power supplies in the region by comparing the relation between the lowest operation cost and the carbon emission of each group of data.
Further, the basic data collected in step S1 includes:
the installed capacity of various power supplies in the area to be evaluated, the operation and maintenance cost of various power supplies, the output characteristics of various power supplies and the total generated energy;
the installed capacity of each power supply comprises the installed capacity of coal power, biomass power generation, hydropower, wind power, photovoltaic power and nuclear power, and the stored electricity quantity of an energy storage power station; the construction, operation and maintenance costs of various power supplies comprise the construction, operation and maintenance costs of coal-electricity, biomass power generation, hydroelectric power, wind power, photovoltaic, nuclear power and energy storage systems; the output characteristics of the various power supplies are the proportion of the generated energy of different power supplies in different time periods to the installed capacity; the total generated energy of various power supplies is the sum of the generated energy of various power plants in the region.
According to the description, different data are adopted, and multiple groups of data under different new energy grid-connected scenes can be obtained through multiple times of calculation.
Further, the determining constraint boundary conditions in step S2 are: determining a constraint boundary condition of calculation according to different calculation requirements;
the constraint boundary conditions comprise power balance constraint, various power output constraints, coal electric grade climbing constraint, energy storage operation constraint and electric quantity storage constraint;
the various power output constraints comprise coal-electricity output constraints, biomass output constraints, nuclear power output constraints, wind energy output constraints, light energy output constraints and water energy output constraints.
According to the description, all power generation modes are connected by adding constraint conditions, and the carbon emission condition of the coal power unit under different grid-connected scenes of various new energy sources can be comprehensively and systematically calculated.
Further, the constraint boundary conditions are specifically:
and power balance constraint:
wherein st m The state of the watch unit, 0 represents shutdown, and 1 represents operation; p i,t Indicating the output, LD, of the power supply at time t, except for coal power t Represents the total load;
coal-electricity output force constraint: st m ·R m ·r m ≤P 1,m,t ≤st m ·R m Wherein R is m Is the unit capacity, r m The lowest load rate of the unit is obtained;
biomass and nuclear power output constraint: r ty ·r ty ≤P ty,t ≤R ty Ty is an element of biomass and nuclear power]Wherein R is ty Is the power supply capacity, r ty Is the power ty lowest duty;
the output of wind energy, light energy and water energy is restricted:
ty is in the form of wind, light and water]Wherein,
the amount of resources available for the power ty is obtained through a typical load curve of the power;
restraining the coal electric climbing: -v m ＜st m (P 1,m,t -P 1,m,t-1 )＜v m Wherein v is m The climbing speed of m is the coal-electric unit;
energy storage operation restraint: -R s,ty ≤P ty,t ≤R s,ty Ty e [ energy storage]Wherein R is s,ty The maximum charge-discharge power is the maximum charge-discharge power of the energy storage power supply;
and (4) power storage amount constraint: e min ≤(1-δ)E t-1 -P ty,t Δt≤E max Ty e [ energy storage]Where δ is the self-loss coefficient of the energy storage device, E t-1 For storing electric quantity in the energy storage device at the last moment, E max And E min The maximum and minimum stored electrical quantities for the energy storage device.
From the above description, constraint boundary conditions are determined according to characteristics of various resources including coal power, biomass power generation, hydroelectric power, wind power, photovoltaic power, nuclear power and the like, so as to facilitate the subsequent construction of an objective function with minimum operation cost as a target.
Further, the step S3 of establishing an operation scheduling model in the new energy grid-connected scene according to the constraint boundary condition and the objective function specifically includes:
constructing an objective function:
wherein u is i Maintaining cost factors for the operation of each power supply; Δ t is the time step; p i The generated energy of each power supply; n is the number of different power types;
the total output of the coal-electricity unit is as follows:
wherein Mg is the coal-electricity quantity; p 1,t The total output of the coal-electric unit at the moment t. P 1,m,t The output of the coal electric unit m at the time t is obtained;
storing each constraint condition into a row vector;
introducing a solving process vector lambda = [ lambda ] by adopting a Lagrange multiplier method 1 ,λ 2 ,...,λ n ]Converting the conditional extremum into an unconditional extremum;
obtaining a solving formula: f (lambda, P) 1 ，P 2 ，…P n )＝Cost min -(λ T ·A)；
And solving the partial derivative of the solving formula to obtain n equations about P and n equations about lambda, and further obtaining the generated energy P of various power supplies.
According to the description, the operation scheduling model under the new energy grid-connected scene is established according to the constraint boundary conditions and the objective function, the solving process is simplified, iterative calculation is not needed, the solving speed is accelerated, and the solving process is simple and easy to understand.
Further, the step S4 specifically includes: and (4) after the generated energy of the coal-electricity unit is obtained in the step (S3), the generated coal consumption of the coal-electricity unit is obtained through the output-coal consumption curve, and the carbon emission coefficient is multiplied by the coal consumption to obtain the carbon emission of the regional power system under different new energy grid-connected scenes.
As can be seen from the above description, reference can be provided for the development direction of the power supply in the area by comparing the relationship between the minimum operating cost and the carbon emission of each set of data.
Referring to fig. 6, another embodiment of the present invention provides a terminal for estimating carbon emission of an electric power system in a new energy grid-connected scenario, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor executes the computer program to implement the above-mentioned steps of the method for estimating carbon emission of an electric power system in a new energy grid-connected scenario.
The method and the terminal for evaluating the carbon emission of the power system in the new energy grid-connected scene can comprehensively and systematically calculate the carbon emission of the coal power unit in different grid-connected scenes by various new energies, have simple calculation process, do not need iterative calculation, can save calculation time, and are explained by a specific implementation mode as follows:
example one
Referring to fig. 1, a method for evaluating carbon emission of an electric power system in a new energy grid-connected scene includes the following steps:
s1, collecting basic data under a new energy grid-connected scene;
wherein the collected basic data comprises: the installed capacity of various power supplies in the area to be evaluated, the operation and maintenance cost of various power supplies, the output characteristics of various power supplies and the total generated energy;
the installed capacity of each power supply comprises the installed capacity of coal power, biomass power generation, hydropower, wind power, photovoltaic power and nuclear power, and the stored electricity quantity of an energy storage power station; the construction, operation and maintenance costs of various power supplies comprise the construction, operation and maintenance costs of coal-electricity, biomass power generation, hydroelectric power, wind power, photovoltaic, nuclear power and energy storage systems; the output characteristics of the various power supplies are the proportion of the generated energy of different power supplies in different time periods to the installed capacity; the total generated energy of various power supplies is the sum of the generated energy of various power plants in the region.
And by adopting different data, multiple groups of data under different new energy grid-connected scenes can be obtained after multiple times of calculation.
S2, determining an objective function and a constraint boundary condition thereof, wherein the objective function takes the minimum total running cost of the power system as a target;
specifically, according to different calculation requirements, determining constraint boundary conditions to be calculated;
the constraint boundary conditions comprise power balance constraint, coal-electricity output constraint, biomass output constraint, nuclear power output constraint, wind energy output constraint, light energy output constraint, water energy output constraint, coal-electricity climbing constraint, energy storage operation constraint and electric energy storage constraint;
therefore, all power generation modes are linked by adding constraint conditions, and the carbon emission condition of the coal power unit under different grid-connected scenes of various new energy sources can be comprehensively and systematically calculated.
Wherein, each kind of constraint boundary conditions are specifically:
and power balance constraint:
wherein st m The state of the watch unit, 0 represents halt, 1 represents running; p i,t Indicating the output, LD, of the power supply at time t, except for coal power t Represents the total load;
coal-electricity output force constraint: st m ·R m ·r m ≤P 1,m,t ≤st m ·R m Wherein R is m Is the unit capacity, r m The lowest load rate of the unit is obtained;
biomass and nuclear power output constraint: r ty ·r ty ≤P ty,t ≤R ty Ty is an element of biomass and nuclear power]Wherein R is ty Is the power supply capacity, r ty Is the power ty lowest duty;
the output of wind energy, light energy and water energy is restricted:
ty is in the form of wind, light and water]Wherein,
the amount of resources available for the power ty is obtained through a typical load curve of the power;
restraining the coal electric climbing: -v m ＜st m (P 1,m,t -P 1,m,t-1 )＜v m Wherein v is m The climbing speed of m is the coal-electric unit;
energy storage operation restraint: -R s,ty ≤P ty,t ≤R s,ty Ty e [ energy storage]Wherein R is s,ty The maximum charge-discharge power is the maximum charge-discharge power of the energy storage power supply;
and (4) power storage amount constraint: e min ≤(1-δ)E t-1 -P ty,t Δt≤E max Ty e [ energy storage]Where δ is the self-loss coefficient of the energy storage device, E t-1 For storing electric quantity in the energy storage device at the last moment, E max And E min The maximum and minimum stored charge of the energy storage device.
S3, establishing an operation scheduling model under a new energy grid-connected scene according to the constraint boundary conditions and the objective function, specifically:
constructing an objective function:
in the formula u i Maintaining a cost factor for the operation of each power supply; Δ t is the time step; p i The generated energy of each power supply; n is the number of different power types;
the total output of the coal-electricity unit is as follows:
in the formula, mg is the quantity of coal power; p 1,t The total output of the coal-electric unit at the moment t. P 1,m,t The output of the coal electric unit m at the time t is obtained;
storing each constraint into a row vector:
introducing a solving process vector lambda = [ lambda ] by adopting a Lagrange multiplier method 1 ,λ 2 ,...,λ n ]Converting the conditional extremum into an unconditional extremum;
obtaining a solving formula: f (lambda, P) 1 ，P 2 P n )＝Cost min -(λ T ·A)；
And solving the partial derivative of the solving formula to obtain n equations about P and n equations about lambda, and further obtaining the generated energy P of various power supplies.
Therefore, iterative calculation is not needed in the solving process, the solving speed can be increased, and the solving process is simple and easy to understand.
S4, substituting the data and conditions in the steps S1 and S2 into the calculation model in the step S3 to obtain a thermal power unit operation output curve; calculating the carbon emission of the regional power system under different new energy grid-connected scenes according to the operation output curve, and specifically comprising the following steps: and (4) after the generated energy of the coal-electricity unit is obtained in the step (S3), the generated coal consumption of the coal-electricity unit is obtained through the output-coal consumption curve, and the carbon emission coefficient is multiplied by the coal consumption to obtain the carbon emission of the regional power system under different new energy grid-connected scenes.
The carbon emission coefficient in this example was 2.7725 issued by IPCC (Interactive Panel on simulation Change). By comparing the relationship between the lowest operation cost and the carbon emission of each set of data, reference can be provided for the development direction of power supplies in the region.
Example two
The difference between the present embodiment and the first embodiment is that an application scenario of carbon emission calculation is provided, specifically:
taking different new energy grid-connected scenes of the Fujian province as an example to carry out carbon emission accounting on the coal-electricity unit, wherein the different new energy computing comprises wind power and photovoltaic power generation.
In the embodiment, 3596.24 ten thousand kilowatts of installed capacity of thermal power of 2021 Fujian province is obtained; the installed capacity of water is 1385.75 ten thousand kilowatts; the installed capacity of the nuclear power is 986.20 ten thousand kilowatts; biomass and other installed capacities 267 kilowatts; the energy is stored in 183 ten thousand kilowatts.
The operating conditions of various power supplies for 288 hours on a typical day selected in Fujian province were evaluated using this example:
referring to fig. 2, when the wind power installation 7350MW and the photovoltaic installation 2770MW are used, the calculation results of the power outputs of different types of power supplies are shown in the figure;
referring to fig. 3, when the wind power installation machine 14700MW and the photovoltaic installation machine 5440MW are in use, the calculation results of the output of different types of power supplies are shown in the figure;
referring to fig. 4, when the wind power installation machine 22050MW and the photovoltaic installation machine 8310MW are in operation, the calculation results of the power output of different types of power sources are shown in the figure;
referring to fig. 5, the variation of the total emission of coal and electricity is shown as the installed capacity of wind power and photovoltaic increases with the goal of minimizing the total cost.
EXAMPLE III
Referring to fig. 6, a terminal for estimating carbon emission of an electric power system in a new energy grid-connected scenario includes a memory, a processor, and a computer program stored in the memory and running on the processor, where the processor executes the computer program to implement the steps of the method for estimating carbon emission of an electric power system in a new energy grid-connected scenario according to the first or second embodiment.
In summary, according to the method and the terminal for evaluating the carbon emission of the power system in the new energy grid-connected scene, the target function and the constraint condition are solved by using the Lagrange multiplier method, the optimization problem containing equality constraint and inequality constraint condition is converted into the problem containing equality constraint only, and the solving process is simplified, so that the carbon emission of the coal-electric generator set in different grid-connected scenes of various new energies can be comprehensively and systematically calculated, the calculating process is simple, iterative calculation is not needed, and the calculating time can be saved.
It should be noted that, for the sake of simplicity, the above-mentioned method embodiments are described as a series of acts or combinations, but those skilled in the art should understand that the present invention is not limited by the described order of acts, as some steps may be performed in other orders or simultaneously according to the present invention. Further, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred and that no acts or modules are necessarily required of the invention.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes performed by the present specification and drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (7)
1. A method for evaluating carbon emission of an electric power system in a new energy grid-connected scene is characterized by comprising the following steps:
s1, collecting basic data under a new energy grid-connected scene;
s2, determining an objective function and a constraint boundary condition thereof, wherein the objective function takes the minimum total running cost of the power system as a target;
s3, establishing an operation scheduling model under a new energy grid-connected scene according to the constraint boundary condition and the objective function;
s4, substituting the data and conditions in the steps S1 and S2 into the calculation model in the step S3 to obtain a thermal power unit operation output curve; and calculating the carbon emission of the regional power system under different new energy grid-connected scenes according to the operation output curve.
2. The method for evaluating the carbon emission amount of the electric power system in the new energy grid-connected scene according to claim 1, wherein the basic data collected in the step S1 includes:
the installed capacity of various power supplies in the area to be evaluated, the operation and maintenance cost of various power supplies, the output characteristics of various power supplies and the total generated energy;
the installed capacity of each power supply comprises the installed capacity of coal power, biomass power generation, hydropower, wind power, photovoltaic power and nuclear power, and the stored electricity quantity of an energy storage power station; the construction, operation and maintenance costs of various power supplies comprise the construction, operation and maintenance costs of coal-electricity, biomass power generation, hydroelectric power, wind power, photovoltaic, nuclear power and energy storage systems; the output characteristics of the various power supplies are the proportion of the generated energy of different power supplies in different time periods to the installed capacity; the total generated energy of various power supplies is the sum of the generated energy of various power plants in the region.
3. The method for evaluating carbon emission of the power system under the new energy grid-connected scene according to claim 2, wherein the determining constraint boundary conditions in the step S2 are as follows: determining a constraint boundary condition of calculation according to different calculation requirements;
the constraint boundary conditions comprise power balance constraint, various power output constraints, coal electric grade climbing constraint, energy storage operation constraint and electric quantity storage constraint;
the various power output constraints comprise coal-electricity output constraints, biomass output constraints, nuclear power output constraints, wind energy output constraints, light energy output constraints and water energy output constraints.
4. The method for evaluating the carbon emission amount of the electric power system in the new energy grid-connected scene according to claim 3, wherein the constraint boundary conditions are specifically as follows:
and power balance constraint:
wherein st m The state of the watch unit, 0 represents halt, 1 represents running; p i,t Indicating the output, LD, of the power supply at time t, except for coal power t Represents the total load;
coal-electricity output force constraint: stm. R m ·r m ≤P 1,m,t ≤st m ·R m Wherein R is m Is the unit capacity, r m The lowest load rate of the unit is obtained;
biomass and nuclear power output constraint: r ty ·r ty ≤P ty,t ≤R ty Ty is an element of biomass and nuclear power]Wherein R is ty Is the power supply capacity, r ty Is the power ty lowest duty;
the output of wind energy, light energy and water energy is restricted:
ty is in the form of wind, light and water]Wherein
the available resource amount of the power ty is obtained through a typical load curve of the power;
restraining the coal electric climbing: -v m ＜st m (P 1,m,t -P 1,m,t-1 )＜v m Wherein v is m The climbing speed of m is the coal-electric unit;
energy storage operation restraint: -R s,ty ≤P ty,t ≤R s,ty Ty e [ energy storage]Wherein R is s,ty The maximum charge-discharge power is the maximum charge-discharge power of the energy storage power supply;
and (4) power storage amount constraint: e min ≤(1-δ)E t-1 -P ty,t Δt≤E max Ty e [ energy storage]Where δ is the self-loss coefficient of the energy storage device, E t-1 For storing electric quantity in the energy storage device at the last moment, E max And E min The maximum and minimum stored charge of the energy storage device.
5. The method for evaluating the carbon emission of the power system in the new energy grid-connected scene according to claim 4, wherein the step S3 of establishing the operation scheduling model in the new energy grid-connected scene according to the constraint boundary condition and the objective function specifically comprises the following steps:
constructing an objective function:
in the formula u i Maintaining cost factors for the operation of each power supply; Δ t is the time step; p i The generated energy of each power supply; n is the number of different power types;
the total output of the coal-electricity unit is as follows:
in the formula, mg is the coal electricity quantity; p 1,t The total output of the coal-electric unit at the moment t. P 1,m,t The output of the coal electric unit m at the time t is obtained;
storing each constraint condition into a row vector;
introducing a solving process vector lambda = [ lambda ] by adopting a Lagrange multiplier method 1 ,λ 2 ,...,λ n ]Converting the conditional extremum into an unconditional extremum;
obtaining a solving formula: f (lambda, P) 1 ，P 2 ，...P n )＝Cost min -(λ T ·A)；
And solving the partial derivative of the solving formula to obtain n equations about P and n equations about lambda, and further obtaining the generated energy P of various power supplies.
6. The method for evaluating the carbon emission of the electric power system under the new energy grid-connected scene according to claim 5, wherein the step S4 specifically comprises: and (4) after the generated energy of the coal-electricity unit is obtained in the step (S3), the generated coal consumption of the coal-electricity unit is obtained through the output-coal consumption curve, and the carbon emission coefficient is multiplied by the coal consumption to obtain the carbon emission of the regional power system under different new energy grid-connected scenes.
7. An evaluation terminal for carbon emission of an electric power system in a new energy grid-connected scene, comprising a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the computer program to implement the steps of the evaluation method for carbon emission of an electric power system in a new energy grid-connected scene as claimed in any one of claims 1 to 6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211504850.6A CN115829391A (en) | 2022-11-28 | 2022-11-28 | Method and terminal for evaluating carbon emission of electric power system in new energy grid-connected scene |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211504850.6A CN115829391A (en) | 2022-11-28 | 2022-11-28 | Method and terminal for evaluating carbon emission of electric power system in new energy grid-connected scene |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115829391A true CN115829391A (en) | 2023-03-21 |
Family
ID=85532376
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211504850.6A Pending CN115829391A (en) | 2022-11-28 | 2022-11-28 | Method and terminal for evaluating carbon emission of electric power system in new energy grid-connected scene |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115829391A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116523139A (en) * | 2023-05-08 | 2023-08-01 | 国电华研电力科技有限公司 | Electric power carbon reduction prediction method, device and storable medium |
| CN116629452A (en) * | 2023-07-18 | 2023-08-22 | 北京壹清能环科技有限公司 | Method, device and storage medium for predicting carbon emission based on generated energy |
| CN118095902A (en) * | 2024-04-16 | 2024-05-28 | 浙江大学 | Power system carbon emission reduction potential evaluation method based on time sequence production simulation |
-
2022
- 2022-11-28 CN CN202211504850.6A patent/CN115829391A/en active Pending
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116523139A (en) * | 2023-05-08 | 2023-08-01 | 国电华研电力科技有限公司 | Electric power carbon reduction prediction method, device and storable medium |
| CN116523139B (en) * | 2023-05-08 | 2024-01-23 | 国电华研电力科技有限公司 | Electric power carbon reduction prediction method, device and storable medium |
| CN116629452A (en) * | 2023-07-18 | 2023-08-22 | 北京壹清能环科技有限公司 | Method, device and storage medium for predicting carbon emission based on generated energy |
| CN116629452B (en) * | 2023-07-18 | 2023-09-19 | 北京壹清能环科技有限公司 | Method, device and storage medium for predicting carbon emission based on generated energy |
| CN118095902A (en) * | 2024-04-16 | 2024-05-28 | 浙江大学 | Power system carbon emission reduction potential evaluation method based on time sequence production simulation |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Maleki et al. | Comparative study of artificial intelligence techniques for sizing of a hydrogen-based stand-alone photovoltaic/wind hybrid system | |
| CN115829391A (en) | Method and terminal for evaluating carbon emission of electric power system in new energy grid-connected scene | |
| CN106849190A (en) | A kind of microgrid real-time scheduling method of providing multiple forms of energy to complement each other based on Rollout algorithms | |
| Hug-Glanzmann | Coordination of intermittent generation with storage, demand control and conventional energy sources | |
| Li et al. | Optimal battery schedule for grid-connected photovoltaic-battery systems of office buildings based on a dynamic programming algorithm | |
| Sanaye et al. | A novel energy management method based on Deep Q Network algorithm for low operating cost of an integrated hybrid system | |
| Jithendranath et al. | Stochastic planning of islanded microgrids with uncertain multi‐energy demands and renewable generations | |
| CN112671035A (en) | Virtual power plant energy storage capacity configuration method based on wind power prediction | |
| Sarita et al. | Modeling and control of dynamic battery storage system used in hybrid grid | |
| Pudjianto et al. | Whole system value of long-duration electricity storage in systems with high penetration of renewables | |
| CN113807566A (en) | Community energy scheduling method based on renewable energy and uncertain internal load | |
| Liu et al. | Optimal scheduling of multi-source microgrid considering power to gas technology and wind power uncertainty | |
| CN107359611A (en) | Power distribution network equivalence method considering various random factors | |
| Wang et al. | Data-driven flexibility evaluation methodology for community integrated energy system in uncertain environments | |
| Hamzeh Aghdam et al. | Distributed energy resources and microgrid infrastructure | |
| Mukti et al. | Particle Swarm Optimization (PSO) based Photovoltaic MPPT Algorithm under the Partial Shading Condition | |
| CN114548536A (en) | Renewable energy planning method considering energy storage influence in electric power market environment | |
| Gong et al. | Economic dispatching strategy of double lead-acid battery packs considering various factors | |
| Chen | Optimize configuration of multi-energy storage system in a standalone microgrid | |
| Tian et al. | Power prediction and operation scheduling strategy of pumped storage power station based on machine learning | |
| CN117670071B (en) | Generation method and device of source network storage collaborative planning scheme, medium and terminal | |
| Perez et al. | Optimal operation and sizing of pumped thermal energy storage for net benefits maximization | |
| CN114977279B (en) | Combined operation method of medium-long-term unit in wind-carbon capture-electricity-to-gas combined power generation system | |
| CN118095796B (en) | IES adjustable capability assessment method, device, equipment and medium based on conditional risk value | |
| Kazeminejad et al. | Optimal and Economic Design of Stand-alone Hybrid Renewable Energy System Integrated with Battery Storage Using Artificial Electric Field Algorithm. |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |