CN115347572A - Intelligent park energy control method - Google Patents
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Abstract
The invention relates to an intelligent park energy control method, which comprises the following steps: the method comprises the steps of starting a gas generator where a smart park is located, calculating power generation electric energy generated by the gas generator, calculating total refrigeration capacity of the smart park, starting a waste heat recovery machine corresponding to the gas generator, wherein the waste heat recovery machine is used for recovering and using residual electric energy of refrigeration equipment according to the total refrigeration capacity, constructing an introduced electric energy function needing to be directly introduced from a power grid in the smart park based on the residual electric energy, optimizing the purchased electric energy function, obtaining a minimum introduced electric energy value, and completing energy control of the smart park. The intelligent park energy-saving system can solve the problem of energy waste caused by the fact that the intelligent park directly depends on the power supply of a power grid.
Description
Technical Field
The invention relates to the technical field of intelligent park construction, in particular to an intelligent park energy control method based on low-carbon regulation and control of an electric energy source, electronic equipment and a computer readable storage medium.
Background
Along with the improvement of intelligent level, especially the all-round improvement of computer computing power, power supply capacity has urged the production in wisdom garden. Wisdom garden is based on the computer is leading, provides a series of synthesis gardens such as intelligent parking, intelligent pronunciation, intelligent transportation, garden intelligence commodity circulation.
However, the center of gravity of the smart park tends to be the intelligent integration level at present, the center of gravity is rarely concerned about the problem closely related to the energy consumption of the smart park, but it cannot be denied that the intelligent degree of the smart park is continuously increased, the power grid generates huge power supply pressure due to the fact that power is simply supplied through the power grid, meanwhile, the damage of power transmission of the power grid and the smart park is gradually increased, and therefore an energy saving method based on the smart park is not provided at present.
Disclosure of Invention
The invention provides an intelligent park energy control method based on low-carbon regulation of an electric energy source and a computer readable storage medium, and mainly aims to solve the problem of energy waste caused by the fact that an intelligent park directly depends on a power grid for power supply.
In order to achieve the purpose, the invention provides an intelligent park energy control method based on low-carbon regulation and control of an electric energy, which comprises the following steps:
starting a gas generator where the intelligent park is located, and calculating the generated electric energy generated by the gas generator;
calculating the total refrigerating capacity of the intelligent park:
wherein,
the total refrigerating capacity is shown as the total refrigerating capacity,
represents the electric energy conversion efficiency of the refrigeration equipment of the intelligent park,
representing the generated electrical energy consumed by the refrigeration appliance,
a refrigeration waste factor for the useful life of the refrigeration equipment,
the service life of the refrigeration equipment;
starting a waste heat recovery machine corresponding to the gas generator, wherein the waste heat recovery machine is used for recovering and using the residual electric energy of the refrigeration equipment according to the total refrigeration cold quantity;
constructing an introduced electric energy function which needs to be directly introduced from a power grid in the intelligent park based on the residual electric energy:
wherein,
representing a function of said incoming electrical energy,
representing the incoming electrical energy that needs to be introduced directly from the grid,
the total power required for the smart campus,
in order to consume the electric power for the non-refrigeration equipment,
representing the remaining electrical energy;
and optimizing the purchase electric energy function to obtain the minimum value of the introduced electric energy, and finishing the energy control of the intelligent park.
Optionally, the method for calculating the residual electric energy comprises:
wherein,
represents the electric energy recovery efficiency of the waste heat recovery machine,
is a recovery waste factor of the service life of the waste heat recovery machine,
in order to prolong the service life of the waste heat recovery machine,
a conduction loss ratio for conducting the generated electric power generated by the gas generator to the refrigeration equipment,
a value of [0,1 ]]To (c) to (d);
optionally, the calculation method of the generated electric energy includes:
wherein,
for the purpose of the generation of electric energy,
the heat flow rate of the natural gas used by the gas generator,
for the electric energy conversion efficiency of the gas generator,
for natural gas waste factors based on the gas generator service life,
the service life of the gas generator;
optionally, the
The calculating method comprises the following steps:
determining the maximum electric energy conversion efficiency and the minimum electric energy conversion efficiency of the gas generator according to the delivery parameters of the gas generator;
calculating the number of times of rotation of the engine rotating shaft in the current working state of the gas generator;
receiving the maximum rotation times of an engine rotating shaft input by research personnel of the gas generator under the condition of no rest;
calculating to obtain the maximum electric energy conversion efficiency, the minimum electric energy conversion efficiency, the rotated times and the maximum rotation times as pre-constructed electric energy conversion efficiency calculation formulas
The electric energy conversion efficiency value of (a), wherein the electric energy conversion efficiency is calculated by the following formula:
wherein,
in order for the maximum electrical energy conversion efficiency to be described,
in order for the minimum electrical energy conversion efficiency to be described,
for the number of times of rotation that has been performed,
is the maximum number of rotations.
Optionally, the non-refrigeration equipment comprises an electric vehicle and a new energy vehicle.
Optionally, the calculating of the consumed electric energy of the non-refrigeration equipment comprises:
calculating the charging peak time interval of the electric vehicle and the new energy vehicle, wherein the charging peak time interval is as follows:
wherein, P is a charging peak section, T is all sections of the smart park which can be used for charging the electric vehicle and the new energy automobile,
is the average value of the charging time periods of the electric vehicle and the new energy vehicle,
variance of charging time periods for electric vehicles and new energy vehicles;
the charging electric energy of the intelligent park at the t-th charging peak time point is calculated by the following method:
wherein,
represents the charging power at the t-th time point in the charging peak period,
for the charging power of the electric vehicle or the new energy vehicle,
for the low heating value of the natural gas used by the gas generator,
the efficiency of supplying electric power to the electric vehicle or the new energy vehicle from the gas generator,
the value interval is [0,1 ] for the electric energy consumption factor of the charging process]The value of which is
Correlation;
according to the charging electric energy of each time point in the non-charging peak section, the total charging electric energy of the intelligent park in the charging peak section is solved, and the calculation method comprises the following steps:
wherein,
the total charging electric energy of a charging peak section is obtained, and T is the total time length of the charging peak section;
and calculating the total charging electric energy of the electric vehicle and the new energy automobile in the non-charging peak section, and solving to obtain the consumed electric energy according to the charging electric energy in the charging peak section and the total charging electric energy in the non-charging peak section.
Optionally, the calculating the total charging electric energy of the electric vehicle and the new energy vehicle in the non-charging peak period includes:
calculate electric motor car, new energy automobile are at the electric energy that charges of the peak time point of the no charging of the tth in wisdom garden:
wherein,
represents the charging power at the t-th time point in the non-charging peak period,
the efficiency of supplying the electric energy to the electric vehicle or the new energy vehicle by the waste heat recovery machine,
is the charging power of the electric vehicle or the new energy vehicle, at the moment
The value of (b) is related to the efficiency of the power supply of the waste heat recovery machine,
the value interval is [0,1 ] for the power consumption factor of the charging process]The value of and
correlation;
according to the charging electric energy of each time point in the non-charging peak section, the total charging electric energy of the intelligent park in the non-charging peak section is solved, and the calculation method comprises the following steps:
wherein,
the total charging electric energy of the non-charging peak section is T, and the total time length of the non-charging peak section is T.
Optionally, solving the consumed electric energy according to the charging electric energy of the charging peak section and the total charging electric energy of the non-charging peak section includes:
calculating the electric energy exchange ratio of the gas generator and the non-refrigeration equipment in the charging peak section and the electric energy exchange ratio of the waste heat recovery machine and the non-refrigeration equipment in the non-charging peak section;
calculating to obtain the consumed electric energy according to a pre-constructed consumed electric energy calculation formula, wherein the consumed electric energy calculation formula is as follows:
wherein,
in order for the electric power to be consumed,
the electric energy exchange proportion of the gas generator and the non-refrigeration equipment in the charging peak section,
the electric energy exchange proportion of the waste heat recovery machine and the non-refrigeration equipment is shown.
Optionally, said optimizing said purchase power function to obtain an incoming power minimum, previously comprising:
constructing a constraint condition function of the purchase electric energy function, wherein the constraint condition function comprises a purchase cost function and a carbon emission cost function, and the purchase cost function is as follows:
wherein,
in order to obtain a cost-to-purchase function,
n is the minimum unit number of the electric energy required to be used by the intelligent park for the purchase cost unit,
for each minimum unit of used electrical energy to be transmitted from the power supply of the grid,
the power supply device where the power grid is located can supply electric energy to the intelligent park at the moment t;
the carbon emission cost function is:
wherein,
represents a carbon emission cost function, n represents the number of gas generators of the intelligent park,
respectively representing the i-th gas-generator
，CO，
And
the power generated by the four kinds of pollution gas,
is a function of the variation of the power generated by the four polluting gases generated by the gas generator over time.
Optionally, the purchase cost function and the carbon emission cost function are used as constraint condition functions of the purchase power function to obtain a lagrangian purchase power function:
St:
and solving a first derivative and a second derivative of the Lagrange purchase energy function, and solving to obtain a minimum value of introduced energy introduced from the power grid according to the Lagrange theorem.
In order to solve the above problem, the present invention also provides an electronic device, including:
a memory storing at least one instruction; and
and the processor executes the instructions stored in the memory to realize the intelligent park energy control method based on the low-carbon regulation and control of the electric energy.
In order to solve the above problem, the present invention further provides a computer-readable storage medium, where at least one instruction is stored in the computer-readable storage medium, and the at least one instruction is executed by a processor in an electronic device to implement the above method for controlling intelligent park energy based on low-carbon regulation and control of electric energy.
In order to solve the problems in the background art, a gas generator is installed in a smart park, wherein a part of natural gas of the gas generator can be sourced from a natural gas generation pool of the smart park, so that resource waste caused by direct calling of electric energy of a power grid is avoided, in addition, the generated electric energy generated by the gas generator is calculated and directly supplied to the smart park to generate total refrigerating capacity, so that normal work of machines and personnel in the smart park is ensured, in order to further save energy, a waste heat recovery machine corresponding to the gas generator is started for recovering the residual electric energy of refrigerating equipment, finally, the minimum introduced electric energy introduced from the power grid is calculated by introducing an electric energy function, and the power supply pressure of the power grid is also reduced. Therefore, the intelligent park energy control method based on low-carbon regulation of the electric energy, the electronic equipment and the computer readable storage medium can solve the problem of energy waste caused by the fact that the intelligent park directly depends on power supply of a power grid.
Drawings
Fig. 1 is a schematic flow chart illustrating a method for controlling energy of an intelligent park based on low-carbon regulation of electric energy according to an embodiment of the present invention;
fig. 2 is a functional block diagram of an intelligent park energy control device based on low-carbon regulation of an electric energy source according to an embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The embodiment of the application provides an intelligent park energy control method based on low-carbon regulation and control of an electric energy source. The execution main body of the intelligent park energy control method based on low-carbon regulation and control of the electric energy comprises but is not limited to at least one of electronic equipment, such as a server, a terminal and the like, which can be configured to execute the method provided by the embodiment of the application. In other words, the intelligent park energy control method based on low-carbon regulation and control of the electric energy can be executed by software or hardware installed in terminal equipment or server equipment, and the software can be a block chain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, and the like.
Referring to fig. 1, a schematic flow chart of an intelligent park energy control method based on low-carbon regulation of an electric energy according to an embodiment of the present invention is shown. In this embodiment, the intelligent park energy control method based on low-carbon regulation and control of electric energy includes:
s1, starting a gas generator where an intelligent park is located, and calculating power generation electric energy generated by the gas generator;
it should be explained that if an equivalent amount of electric energy (for short, introduced electric energy) is directly introduced from the power grid to the smart park according to the total electric energy consumed by the park, a lot of hidden dangers are caused, for example, if the power grid is suddenly cut off, the smart park stops production and stops working, and if the power grid is far away from the smart park, the transmission electric energy loss of the electric energy from the power grid to the smart park is increased, so the embodiment of the invention firstly calculates the available electric energy according to the gas generator inside the smart park.
In detail, the calculating of the generated power generated by the gas generator includes:
wherein,
for the purpose of the generation of electric energy,
the heat flow of the natural gas used by the gas generator,
for the electric energy conversion efficiency of the gas generator,
for natural gas waste factors based on the gas generator service life,
the service life of the gas generator.
It is to be construed that,
the unit of (a) is kWh,
has a unit of
. In detail, the
The calculation method comprises the following steps:
determining the maximum electric energy conversion efficiency and the minimum electric energy conversion efficiency of the gas generator according to the delivery parameters of the gas generator;
calculating the number of times of rotation of the engine rotating shaft in the current working state of the gas generator;
receiving the maximum rotation times of an engine rotating shaft input by research personnel of the gas generator under the condition of no rest;
calculating to obtain the maximum electric energy conversion efficiency, the minimum electric energy conversion efficiency, the rotated times and the maximum rotation times as pre-constructed electric energy conversion efficiency calculation formulas
The electric energy conversion efficiency value of (a), wherein the electric energy conversion efficiency is calculated by the following formula:
wherein,
in order for the maximum electrical energy conversion efficiency to be described,
in order for the minimum electrical energy conversion efficiency to be described,
for the number of times of rotation that has been performed,
is the maximum number of rotations.
S2, calculating the total refrigerating capacity of the intelligent park;
wherein,
the total refrigerating capacity is shown as the total refrigerating capacity,
represents the electric energy conversion efficiency of the refrigeration equipment of the intelligent park,
representing the generated electrical energy consumed by the refrigeration appliance,
a refrigeration waste factor for the useful life of the refrigeration equipment,
the service life of the refrigeration equipment.
And S3, starting a waste heat recovery machine corresponding to the gas generator.
It should be explained that the waste heat recovery machine is used for recovering and using the residual electric energy of the refrigeration equipment, and in detail, the calculation formula of the residual electric energy is as follows:
wherein,
represents the electric energy recovery efficiency of the waste heat recovery machine,
is a recovery waste factor of the service life of the waste heat recovery machine,
in order to prolong the service life of the waste heat recovery machine,
a conduction loss ratio for conducting the generated electric power generated by the gas generator to the refrigeration equipment,
the value is [0,1 ]]In the meantime.
And S4, constructing an introduced electric energy function which needs to be directly introduced from the power grid in the intelligent park based on the residual electric energy.
In the embodiment of the present invention, the introduced electric energy function is:
wherein,
representing a function of said incoming electrical energy,
representing the incoming electrical energy that needs to be introduced directly from the grid,
the total power required for the smart campus,
in order to consume the electric power for the non-refrigeration equipment,
representing the remaining power.
It is explained that the consumed electric energy of the non-refrigeration equipment mainly comprises the charging electric energy required by the battery cars and the new energy automobiles in the intelligent park, namely: the non-refrigeration equipment mainly comprises an electric vehicle and a new energy automobile. In detail, the method for calculating the consumed electric energy of the non-refrigeration equipment comprises the following steps:
calculating the charging peak time interval of the electric vehicle and the new energy vehicle, wherein the charging peak time interval is as follows:
wherein, P is a charging peak section, T is all sections of the smart park which can be used for charging the electric vehicle and the new energy automobile,
is the average value of the charging time periods of the electric vehicle and the new energy vehicle,
variance of charging time periods for electric vehicles and new energy vehicles;
the charging electric energy of the intelligent park at the t-th charging peak time point is calculated by the following method:
wherein,
represents the charging power at the t-th time point in the charging peak period,
for the charging power of the electric vehicle or the new energy vehicle,
the low heating value of the natural gas used by the gas-fired power generator,
the efficiency of supplying electric power to the electric vehicle or the new energy vehicle from the gas generator,
the value interval is [0,1 ] for the power consumption factor of the charging process]The value of and
correlation;
according to the charging electric energy of each time point in the non-charging peak section, the total charging electric energy of the intelligent park in the charging peak section is solved, and the calculation method comprises the following steps:
wherein,
the total charging electric energy of a charging peak section is obtained, and T is the total time length of the charging peak section;
and calculating the total charging electric energy of the electric vehicle and the new energy vehicle in the non-charging peak section, and solving to obtain the consumed electric energy according to the total charging electric energy of the charging peak section and the total charging electric energy of the non-charging peak section.
In detail, the calculating of the total charging electric energy of the electric vehicle and the new energy vehicle in the non-charging peak period comprises the following steps:
calculate electric motor car, new energy automobile are at the electric energy that charges of the peak time point of the no charging of the tth in wisdom garden:
wherein,
represents the charging power at the t-th time point in the non-charging peak period,
the efficiency of supplying the electric energy to the electric vehicle or the new energy vehicle by the waste heat recovery machine,
is the charging power of the electric vehicle or the new energy vehicle, at the moment
The value of (d) is related to the power supply efficiency of the waste heat recovery machine,
the value interval is [0,1 ] for the electric energy consumption factor of the charging process]The value of and
correlation;
according to the charging electric energy of each time point in the non-charging peak section, the total charging electric energy of the intelligent park in the non-charging peak section is solved, and the calculation method comprises the following steps:
wherein,
the total charging electric energy of the non-charging peak section is T, and the total time length of the non-charging peak section is T.
Further, the obtaining the consumed electric energy according to the total charging electric energy of the charging peak section and the total charging electric energy of the non-charging peak section includes:
calculating the electric energy exchange ratio of the gas generator and the non-refrigeration equipment in the charging peak section and the electric energy exchange ratio of the waste heat recovery machine and the non-refrigeration equipment in the non-charging peak section;
calculating to obtain the consumed electric energy according to a pre-constructed consumed electric energy calculation formula, wherein the consumed electric energy calculation formula is as follows:
wherein,
in order for the electric power to be consumed,
the electric energy exchange ratio of the gas generator and the non-refrigeration equipment in the charging peak period,
for waste heat recovery machines and non-refrigeration plantsThe electric energy exchange ratio of (1).
And S5, optimizing the purchase electric energy function to obtain a minimum value of introduced electric energy, and completing energy control of the intelligent park.
In detail, said optimizing said purchase power function to obtain an incoming power minimum value previously comprises:
constructing a constraint condition function of the purchase electric energy function, wherein the constraint condition function comprises a purchase cost function and a carbon emission cost function, and the purchase cost function is as follows:
wherein,
in order to obtain a cost-to-purchase function,
for the purchase cost unit price, n is the minimum unit number of the electric energy required to be used in the intelligent park,
for each minimum unit of used electrical energy to be transmitted from the power supply of the power grid,
the power supply device where the power grid is located can supply electric energy to the intelligent park at the moment t;
the carbon emission cost function is:
wherein,
represents a carbon emission cost function, n represents the number of gas generators in the intelligent park,
respectively representing that generated by the ith gas-electric generator
And
the power generated by the four kinds of pollution gas,
is a function of the variation of the power generated by the four polluting gases generated by the gas generator over time.
In detail, said optimizing said purchase power function to obtain a lead-in power minimum comprises:
taking the purchase cost function and the carbon emission cost function as constraint condition functions of the purchase electric energy function to obtain a Lagrange purchase electric energy function:
St:
and solving the primary derivative and the secondary derivative of the Lagrange purchase energy function, and solving to obtain the minimum value of introduced energy introduced from the power grid according to the Lagrange theorem.
It should be explained that the lagrangian theorem can solve the above formula, and the specific solving process is not described herein again.
In order to solve the problems in the background art, a gas generator is installed in a smart park, wherein a part of natural gas of the gas generator can be sourced from a natural gas generation pool of the smart park, so that resource waste caused by direct calling of electric energy of a power grid is avoided, in addition, the generated electric energy generated by the gas generator is calculated and directly supplied to the smart park to generate total refrigerating capacity, so that normal work of machines and personnel in the smart park is ensured, in order to further save energy, a waste heat recovery machine corresponding to the gas generator is started for recovering the residual electric energy of refrigerating equipment, finally, the minimum introduced electric energy introduced from the power grid is calculated by introducing an electric energy function, and the power supply pressure of the power grid is also reduced. Therefore, the intelligent park energy control method based on low-carbon regulation and control of the electric energy, the electronic equipment and the computer readable storage medium can solve the problem of energy waste caused by the fact that the intelligent park directly depends on a power grid for power supply.
Fig. 2 is a functional block diagram of an intelligent park energy control device based on low-carbon regulation of electric energy according to an embodiment of the present invention.
The intelligent park energy control device 100 based on low-carbon regulation and control of electric energy can be installed in electronic equipment. According to the realized function, the intelligent park energy control device 100 based on low-carbon regulation and control of the energy source can comprise a gas generator electric energy calculation module 101, a total refrigerating capacity calculation module 102, a waste heat recovery module 103, an introduced electric energy function construction module 104 and an introduced electric energy calculation module 105. The module of the present invention, which may also be referred to as a unit, refers to a series of computer program segments that can be executed by a processor of an electronic device and can perform a fixed function, and are stored in a memory of the electronic device.
The gas generator electric energy calculating module 101 is used for starting a gas generator where the intelligent park is located and calculating the generated electric energy generated by the gas generator;
the total refrigeration capacity calculation module 102 is configured to calculate the total refrigeration capacity of the smart park:
wherein,
the total refrigerating capacity is shown as the total refrigerating capacity,
representing the electric energy conversion efficiency of the refrigeration equipment of the intelligent park,
representing the generated electrical energy consumed by the refrigeration appliance,
a refrigeration waste factor for the useful life of the refrigeration equipment,
the service life of the refrigeration equipment;
the waste heat recovery module 103 is configured to start a waste heat recovery machine corresponding to the gas generator, where the waste heat recovery machine is configured to recover and use the remaining electric energy of the refrigeration equipment according to the total refrigeration capacity;
the introduced electric energy function building module 104 is configured to build, based on the remaining electric energy, an introduced electric energy function that needs to be directly introduced from the power grid in the smart park:
wherein,
a function representing the introduced electrical energy is provided,
representing the incoming electrical energy that needs to be introduced directly from the grid,
the total power required for the smart campus,
in order to consume the electric power for the non-refrigeration equipment,
representing the remaining electrical energy;
the introduced electric energy calculation module 105 is configured to optimize the purchase electric energy function to obtain a minimum value of introduced electric energy, and complete energy control of the smart park.
In detail, in the embodiment of the present invention, when the modules in the intelligent park energy control apparatus 100 based on low-carbon regulation and control of electric energy are used, the same technical means as the block chain-based product supply chain management method described in fig. 1 are used, and the same technical effects can be produced, which are not described herein again.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof.
The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference signs in the claims shall not be construed as limiting the claim concerned.
Furthermore, it is obvious that the word "comprising" does not exclude other elements or steps, and the singular does not exclude the plural. A plurality of units or means recited in the system claims may also be implemented by one unit or means in software or hardware. The terms second, etc. are used to denote names, but not any particular order.
Finally, it should be noted that the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.
Claims (10)
1. A method for controlling energy in a smart park, the method comprising:
starting a gas generator where the intelligent park is located, and calculating the generated electric energy generated by the gas generator;
calculating the total refrigerating capacity of the intelligent park:
wherein,
the total refrigerating capacity is shown as the total refrigerating capacity,
represents the electric energy conversion efficiency of the refrigeration equipment of the intelligent park,
representing the generated electrical energy consumed by the refrigeration appliance,
a refrigeration waste factor for the useful life of the refrigeration equipment,
the service life of the refrigeration equipment;
starting a waste heat recovery machine corresponding to the gas generator, wherein the waste heat recovery machine is used for recovering and using the residual electric energy of the refrigeration equipment according to the total refrigeration capacity;
constructing an introduced electric energy function which needs to be directly introduced from a power grid in the intelligent park based on the residual electric energy:
wherein,
representing a function of said incoming electrical energy,
representing the incoming electrical energy that needs to be introduced directly from the grid,
the total power required for the smart campus,
in order to consume the electric power for the non-refrigeration equipment,
representing the remaining electrical energy;
and optimizing the purchase electric energy function to obtain the minimum value of the introduced electric energy, and finishing the energy control of the intelligent park.
2. The intelligent park energy control method of claim 1 wherein the calculation of the residual energy comprises:
wherein,
represents the electric energy recovery efficiency of the waste heat recovery machine,
is a recycling waste factor of the service life of the waste heat recycling machine,
in order to prolong the service life of the waste heat recovery machine,
a conduction loss ratio for conducting the generated electric power generated by the gas generator to the refrigeration equipment,
the value is [0,1 ]]In between.
3. The intelligent park energy control method according to claim 1, wherein the calculation method of the generated electric energy comprises:
wherein,
for the purpose of the generation of electric energy,
the heat flow rate of the natural gas used by the gas generator,
for the electric energy conversion efficiency of the gas generator,
for natural gas waste factors based on the gas generator service life,
the service life of the gas generator.
4. The intelligent park energy control method of claim 3 wherein the intelligent park energy control system is a smart park energy control system
The calculating method comprises the following steps:
determining the maximum electric energy conversion efficiency and the minimum electric energy conversion efficiency of the gas generator according to the delivery parameters of the gas generator;
calculating the number of times of rotation of the engine rotating shaft in the current working state of the gas generator;
receiving the maximum rotation times of an engine rotating shaft input by research personnel of the gas generator under the condition of no rest;
calculating to obtain the maximum electric energy conversion efficiency, the minimum electric energy conversion efficiency, the rotated times and the maximum rotation times as pre-constructed electric energy conversion efficiency calculation formulas
The electric energy conversion efficiency value of (a), wherein the electric energy conversion efficiency is calculated by the following formula:
wherein,
in order for the maximum electrical energy conversion efficiency to be described,
in order for the minimum electrical energy conversion efficiency to be described,
for the number of times of rotation that has been performed,
is the maximum number of rotations.
5. The intelligent park energy control method according to claim 4, wherein the non-refrigeration equipment includes electric vehicles, new energy vehicles.
6. The intelligent park energy control method of claim 5 wherein the calculation of the power consumption of the non-refrigeration equipment comprises:
calculating the charging peak time interval of the electric vehicle and the new energy vehicle, wherein the charging peak time interval is as follows:
wherein, P is a charging peak section, T is all sections of the smart park which can be used for charging the electric vehicle and the new energy automobile,
is the average value of the charging time periods of the electric vehicle and the new energy vehicle,
variance of charging time periods for electric vehicles and new energy vehicles;
the charging electric energy of the intelligent park at the t-th charging peak time point is calculated by the following method:
wherein,
represents the charging power at the t-th time point in the charging peak period,
for the charging power of the electric vehicle or the new energy vehicle,
for the low heating value of the natural gas used by the gas generator,
the efficiency of supplying electric power to the electric vehicle or the new energy vehicle from the gas generator,
the value interval is [0,1 ] for the electric energy consumption factor of the charging process]The value of which is
Correlation;
according to the charging electric energy of each time point in the non-charging peak section, the total charging electric energy of the intelligent park in the charging peak section is solved, and the calculation method comprises the following steps:
wherein,
the total charging electric energy of a charging peak section is obtained, and T is the total time length of the charging peak section;
and calculating the total charging electric energy of the electric vehicle and the new energy automobile in the non-charging peak section, and solving according to the charging electric energy of the charging peak section and the total charging electric energy of the non-charging peak section to obtain the consumed electric energy.
7. The intelligent park energy control method according to claim 6, wherein the calculating of the total charging energy of the electric vehicle and the new energy vehicle in the non-charging peak period comprises:
calculate electric motor car, new energy automobile are at the electric energy that charges of the peak time point of the no charging of the tth in wisdom garden:
wherein,
represents the charging power at the t-th time point in the non-charging peak period,
the efficiency of supplying the electric energy to the electric vehicle or the new energy vehicle by the waste heat recovery machine,
is the charging power of the electric vehicle or the new energy vehicle, at the moment
The value of (b) is related to the efficiency of the power supply of the waste heat recovery machine,
the value interval is [0,1 ] for the electric energy consumption factor of the charging process]The value of which is
Correlation;
according to the charging electric energy of each time point in the non-charging peak section, the total charging electric energy of the intelligent park in the non-charging peak section is solved, and the calculation method comprises the following steps:
wherein,
the total charging electric energy of the non-charging peak section is T, and the total time length of the non-charging peak section is T.
8. The intelligent park energy control method of claim 7 wherein solving for the consumed energy based on the charging energy of the peak charging period and the total charging energy of the off-peak charging period comprises:
calculating the electric energy exchange ratio of the gas generator and the non-refrigeration equipment in the charging peak section and the electric energy exchange ratio of the waste heat recovery machine and the non-refrigeration equipment in the non-charging peak section;
calculating to obtain the consumed electric energy according to a pre-constructed consumed electric energy calculation formula, wherein the consumed electric energy calculation formula is as follows:
wherein,
in order for the electric power to be consumed,
the electric energy exchange proportion of the gas generator and the non-refrigeration equipment in the charging peak section,
the electric energy exchange ratio of the waste heat recovery machine and the non-refrigeration equipment is obtained.
9. The intelligent park energy control method of claim 8 wherein optimizing the purchase energy function to obtain an incoming energy minimum previously comprises:
constructing a constraint condition function of the purchase electric energy function, wherein the constraint condition function comprises a purchase cost function and a carbon emission cost function, and the purchase cost function is as follows:
wherein,
in order to obtain a cost-to-purchase function,
n is the minimum unit number of the electric energy required to be used by the intelligent park for the purchase cost unit,
for each minimum unit of used electrical energy to be transmitted from the power supply of the grid,
the power supply device where the power grid is located can supply electric energy to the intelligent park at the time t;
the carbon emission cost function is:
wherein,
represents a carbon emission cost function, n represents the number of gas generators of the intelligent park,
respectively representing the i-th gas-generator
，CO，
And
the power generated by the four kinds of pollution gas,
is a function of the variation of the power generated by the four polluting gases generated by the gas generator over time.
10. The intelligent park energy control method of claim 9 wherein optimizing the purchase energy function to obtain an incoming energy minimum comprises:
taking the purchase cost function and the carbon emission cost function as constraint condition functions of the purchase electric energy function to obtain a Lagrange purchase electric energy function:
St:
and solving the primary derivative and the secondary derivative of the Lagrange purchase energy function, and solving to obtain the minimum value of introduced energy introduced from the power grid according to the Lagrange theorem.
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