CN111489020A - Independent type comprehensive energy grid electricity-gas energy storage system optimal configuration solving method - Google Patents

Independent type comprehensive energy grid electricity-gas energy storage system optimal configuration solving method Download PDF

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CN111489020A
CN111489020A CN202010243798.8A CN202010243798A CN111489020A CN 111489020 A CN111489020 A CN 111489020A CN 202010243798 A CN202010243798 A CN 202010243798A CN 111489020 A CN111489020 A CN 111489020A
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宛鑫
冯皓清
林建林
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Hangzhou Hongsheng Electric Power Design Consulting Co ltd
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Abstract

The invention discloses an optimal configuration solving method for an electric-gas energy storage system of an independent comprehensive energy network, relates to the technical field of comprehensive energy networks, and is used for solving the problem that the independent comprehensive energy network containing an electric-gas multi-energy storage system lacks a corresponding optimal configuration solving method. The method specifically comprises the following steps: establishing a comprehensive total cost model of the independent comprehensive energy network, wherein the comprehensive total cost model comprises an investment cost model of the energy storage system and an operation cost model of the independent comprehensive energy network; setting constraint conditions of an independent comprehensive energy network; and obtaining the optimal power group and/or the optimal comprehensive total cost based on the comprehensive total cost model, the constraint condition and the iterative algorithm and by taking the minimum value of the comprehensive total cost as a target. The invention also discloses an independent type comprehensive energy grid electricity-gas energy storage system optimal configuration solving device, electronic equipment and a computer readable storage medium.

Description

Independent type comprehensive energy grid electricity-gas energy storage system optimal configuration solving method
Technical Field
The invention relates to the technical field of comprehensive energy networks, in particular to an optimal configuration solving method, device, electronic equipment and medium for an electric-gas energy storage system of an independent comprehensive energy network.
Background
With the gradual depletion of traditional fossil energy, environmental problems and the increasing severity of global warming problems, low-carbon new energy represented by wind and light is vigorously developed, and the improvement of the permeability of renewable energy of the existing power grid becomes one of important ways for solving the problems.
The independent comprehensive energy network generally comprises 4 energy forms of cold, heat, electricity and gas, and all energy supply equipment in the region are integrated in a unified mode and scheduled in an implementation mode by means of the internet of things technology and the information technology, so that the purposes of optimizing energy supply on the cold, heat and electricity loads of the region and improving the energy utilization efficiency are achieved.
However, since renewable energy sources such as wind and light have strong intermittent and random fluctuation, phenomena such as wind curtailment and light curtailment are often caused. Therefore, in order to enhance the flexibility of the independent type integrated energy network, an electricity-gas multi-energy storage system is introduced into the independent type integrated energy network.
For the independent comprehensive energy network with the introduced electricity-gas multi-energy storage system, parameters needing to be regulated and controlled are correspondingly increased, so that an optimal configuration solving method needs to be invented for the independent comprehensive energy network, the cost is reduced, and the stability of the whole system is maintained.
Disclosure of Invention
In order to overcome the defects of the prior art, one of the purposes of the invention is to provide an optimal configuration solving method for an independent comprehensive energy grid electricity-gas energy storage system, so as to effectively reduce the comprehensive cost on the basis of ensuring the stability of the whole system.
One of the purposes of the invention is realized by adopting the following technical scheme:
an optimal configuration solving method for an independent type comprehensive energy grid electricity-gas energy storage system comprises the following steps:
establishing a comprehensive total cost model of the independent comprehensive energy network, wherein the comprehensive total cost model comprises an investment cost model of the energy storage system and an operation cost model of the independent comprehensive energy network;
setting a constraint condition of the independent comprehensive energy network;
and obtaining an optimal power group and/or an optimal comprehensive total cost based on the comprehensive total cost model, the constraint condition and the iterative algorithm and by taking the minimum value of the comprehensive total cost as a target.
Further, the investment cost model of the energy storage system is as follows:
Figure BDA0002433418820000021
where IC is the investment cost of the energy storage system, kpvfIs the current value coefficient, α is the unit power investment coefficient of the storage battery, β is the unit capacity investment coefficient of the storage battery, χ is the unit power investment coefficient of the P2G equipment and is the unit capacity investment coefficient of the gas storage system,
Figure BDA0002433418820000022
is the maximum power of the storage battery,
Figure BDA0002433418820000023
is the maximum capacity of the storage battery,
Figure BDA0002433418820000024
is the power rating of the p2g device,
Figure BDA0002433418820000025
is the maximum capacity, k, of the gas storage systempvfIs the current value coefficient and the calculation formula is:
Figure BDA0002433418820000026
r is annual interest rate and y is life time.
Further, the operation cost model of the independent type integrated energy network is as follows:
Figure BDA0002433418820000027
Figure BDA0002433418820000028
Figure BDA0002433418820000029
wherein OC is the operation cost of the integrated energy network, NT is the total days, NH is the total hours, NG is the total number of conventional thermal power generating units, N L is the total number of cogeneration units, FeIs a function of the power and cost, PithIs the power I generated by a conventional thermal power generating unit in a certain periodithIs a state index, F, of whether the distributed power supply is operatinghIs a function of the power and cost, PlthIs the power generated by a cogeneration unit during a certain period of time, LlthIs the status index, SU, of whether the distributed power supply is operatingthFor the starting cost, SD, of the generator setthThe shutdown cost of the generator set.
Further, the constraint conditions comprise electric power balance constraint, heat supply balance constraint, wind power output constraint, unit constraint, energy storage system constraint and gas boiler constraint.
Further, the formula of the electric power balance constraint is:
Figure BDA0002433418820000031
wherein NG is the total number of conventional thermal power generating units, N L is the total number of cogeneration units, NR is the number of new energy, PithIs the power generated by a certain conventional thermal power generating unit in a certain period of time; i isithIs the state index, P, of whether the distributed power supply is workinglthIs the power generated by a cogeneration unit during a certain period of time, LlthIs the state index, P, of whether the distributed power supply is workingrthIs the power generated by the new energy source, PESSIs the power at which the energy storage system is charged or discharged, Pload,thThe power required by the load for the period of time;
the formula of the heat supply balance constraint is as follows:
Figure BDA0002433418820000032
wherein h islthFor the thermal power, P, of the thermoelectric generator set i in this time intervalGFIs the thermal power h output by the gas boilerload,thThe thermal load of the system for the period of time;
the wind power output constraint formula is as follows:
Figure BDA0002433418820000033
wherein the content of the first and second substances,
Figure BDA0002433418820000034
is the rated power, v, of the wind turbinehtIs the wind speed, v, over a period of timeCIIs the cut-in wind speed, v, of the fanCOCut-out wind speed, v, of a fanRIs the rated wind speed of the fan.
Furthermore, the unit constraints comprise upper and lower limit constraints of the output of the conventional thermal power generating unit, constraint of 'fixing the power with the heat' of the cogeneration unit, upper and lower limit constraints of the heat output, total power climbing constraint of the unit and heat climbing constraint of the cogeneration unit.
Further, the energy storage system constraints include energy storage system constraints and gas storage system constraints
The invention also aims to provide an optimal configuration solving device for the independent comprehensive energy grid electricity-gas energy storage system, so that the comprehensive cost is effectively reduced on the basis of ensuring the stability of the whole system.
The second purpose of the invention is realized by adopting the following technical scheme, and the device for solving the optimal configuration of the independent comprehensive energy grid electricity-gas energy storage system comprises: the modeling module is used for establishing a comprehensive total cost model of the independent comprehensive energy network, and the comprehensive total cost model comprises an investment cost model of the energy storage system and an operation cost model of the independent comprehensive energy network; the condition acquisition module is used for setting the constraint conditions of the independent comprehensive energy network; and the processing module is used for obtaining an optimal power group and/or an optimal comprehensive total cost based on the comprehensive total cost model, the constraint condition and the iterative algorithm and by taking the minimum value of the comprehensive total cost as a target.
It is a further object of the present invention to provide an electronic device for performing one of the above objects, comprising a processor, a storage medium and a computer program, the computer program being stored in the storage medium and the computer program being executed by the processor to implement the above method for solving an optimized configuration of an electric-gas energy storage system of an independent utility grid.
It is a fourth object of the present invention to provide a computer readable storage medium storing one of the objects of the invention, having a computer program stored thereon, which when executed by a processor, implements the above-mentioned solution method for optimal configuration of an independent grid electrical-pneumatic energy storage system.
Compared with the prior art, the invention has the beneficial effects that: in the independent comprehensive energy network, an investment cost model of the energy storage system and an operation cost model of the independent comprehensive energy network are carried out depending on the power of the independent comprehensive energy network, so that an optimal power group which meets constraint conditions is obtained through an iterative algorithm to ensure the stability of the whole system; the optimal power group also corresponds to the minimum value of the comprehensive total cost, so that the optimal comprehensive total cost can be obtained through the optimal power group and the comprehensive total cost model, the cost is reduced, and the utilization rate of energy is improved.
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FIG. 1 is a flow chart of a method according to one embodiment;
FIG. 2 is a block diagram of an apparatus according to a fourth embodiment;
fig. 3 is a block diagram of an electronic device according to an embodiment.
In the figure: 1. a modeling module; a condition acquisition module; 3. a processing module; 4. an electronic device; 41. a processor; 42. a memory; 43. an input device; 44. and an output device.
Detailed Description
The present invention will now be described in more detail with reference to the accompanying drawings, in which the description of the invention is given by way of illustration and not of limitation. The various embodiments may be combined with each other to form other embodiments not shown in the following description.
Example one
The embodiment I provides an optimal configuration solving method for an electric-gas energy storage system of an independent comprehensive energy network, and aims to solve the problem that the independent comprehensive energy network containing an electric-gas multi-energy storage system lacks a corresponding optimal configuration solving method. Specifically, referring to fig. 1, the optimal configuration solving method includes the following steps.
And S10, establishing a comprehensive total cost model of the independent comprehensive energy network, wherein the comprehensive total cost model comprises an investment cost model of the energy storage system and an operation cost model of the independent comprehensive energy network. It is worth noting that the energy storage system has an electrical storage system and an electrical storage system, wherein the electrical storage system responds to the electrical load faster, and the electrical storage system can store excess electrical energy for supplying the thermal load and generating electricity with the gas turbine, and the two performances are complemented. The energy storage system investment cost model is related to parameters of the gas storage system and the electricity storage system, and the investment cost of the independent comprehensive energy network can be obtained through the model. The independent type integrated energy network operation cost model is related to time and purchase price, so that the operation cost can be obtained through the model.
And step S20, setting the constraint conditions of the independent comprehensive energy network. In order to maintain the stable operation of the independent comprehensive energy network, part of parameters of the independent comprehensive energy network need to be constrained, and when a power group meeting constraint conditions is obtained, a parameter group corresponding to the energy storage system investment cost model and the independent comprehensive energy network operation cost model can be inquired according to the power group, and then corresponding investment cost and operation cost are obtained.
And S30, obtaining the optimal power group and/or the optimal comprehensive total cost based on the comprehensive total cost model, the constraint condition and the iterative algorithm and taking the minimum value of the comprehensive total cost as a target. The iterative algorithm is preset with a stopping condition, the stopping condition can be running precision and/or iteration times, a group of intermediate power groups can be obtained every time iteration is carried out, the intermediate power groups meet constraint conditions, corresponding comprehensive total cost is obtained by combining the intermediate power groups and a comprehensive total cost model, then all the comprehensive total costs are compared, the intermediate power group corresponding to the minimum value of the comprehensive total costs is used as an optimal power group, and then the optimal power group and/or the comprehensive total cost is selected to be output.
It is worth mentioning that the execution device of the method has a database in which the parameter sets required for the composite total cost model are stored. When only the optimal power group is obtained in step S30, the optimal power group may be matched with the database to obtain a corresponding parameter group, and then the combined total cost model is combined to obtain a combined total cost corresponding to the optimal power group, and the combined total cost is recorded as the optimal combined total cost.
In summary, by the independent type comprehensive energy grid electricity-gas energy storage system optimal configuration solving method, on the basis of ensuring the stability of the whole system, the comprehensive cost is effectively reduced, and the utilization rate of resources is improved.
It is worth mentioning that the steps of the method are performed on the basis of the execution device. Specifically, the execution device may be a server, a client, a processor, or the like, but the execution device is not limited to the above type.
Example two
The embodiment provides a method for solving optimal configuration of an independent type integrated energy grid electricity-gas energy storage system, and is performed on the basis of the first embodiment with reference to fig. 1.
The investment cost model of the energy storage system may be:
Figure BDA0002433418820000071
where IC is the investment cost of the energy storage system, kpvfIs the present value coefficient, α is the unit power investment of the storage batteryCoefficient β is the investment coefficient per unit capacity of the storage battery, χ is the investment coefficient per unit power of the P2G equipment, and is the investment coefficient per unit capacity of the gas storage system,
Figure BDA0002433418820000072
is the maximum power of the storage battery,
Figure BDA0002433418820000073
is the maximum capacity of the storage battery,
Figure BDA0002433418820000074
is the power rating of the p2g device,
Figure BDA0002433418820000075
is the maximum capacity, k, of the gas storage systempvfIs the current value coefficient and the calculation formula is:
Figure BDA0002433418820000076
r is annual interest rate and y is life time.
It is worth to be noted that the investment coefficient of unit power α of the storage battery, the investment coefficient of unit capacity β of the storage battery, the investment coefficient of unit power χ of the P2G device and the investment coefficient of unit capacity of the gas storage system can be regarded as constants and adjusted accordingly according to actual conditions, and the current value coefficient kpvfAlthough it is related to annual rate r, service life y, it is not affected by the power of the independent integrated energy grid and thus can be regarded as constant. Maximum power of accumulator
Figure BDA0002433418820000077
Maximum capacity of accumulator
Figure BDA0002433418820000078
Rated power of p2g device
Figure BDA0002433418820000079
Maximum capacity of gas storage system
Figure BDA00024334188200000710
Are all variables and are associated with intermediate power groups obtained by an iterative algorithm.
Querying the maximum power of the corresponding storage battery through the optimal power group
Figure BDA00024334188200000711
Maximum capacity of accumulator
Figure BDA00024334188200000712
Rated power of p2g device
Figure BDA00024334188200000713
Maximum capacity of gas storage system
Figure BDA00024334188200000714
And then inputting the investment cost model of the energy storage system, and obtaining the corresponding optimal investment cost.
It is worth to be noted that the storage battery energy storage system in the electricity storage system comprises storage batteries, converters and other devices, so the investment cost is settled in two forms of power and capacity respectively. The gas storage system comprises the converted power of P2G equipment and the capacity of a gas storage tank, and natural gas generates power or supplies heat energy through a gas turbine, so the investment cost of the gas storage system is settled in two forms of P2G converted power and capacity.
Further, the operation cost model of the independent type integrated energy network may be:
Figure BDA0002433418820000081
Figure BDA0002433418820000082
Figure BDA0002433418820000083
wherein OC is the operation cost of the comprehensive energy network, NT is the total days, NH is the total hours, and NG is the total conventional thermal power generatorNumber of sets, N L being the total number of cogeneration sets, FeIs a function of the power and cost, PithIs the power I generated by a conventional thermal power generating unit in a certain periodithIs a state index, F, of whether the distributed power supply is operatinghIs a function of the power and cost, PlthIs the power generated by a cogeneration unit during a certain period of time, LlthIs the status index, SU, of whether the distributed power supply is operatingthStart-up cost SU for a generator setth，SDthThe shutdown cost of the generator set. a isi、bi、ci、al、bl、clAnd a and b are constants.
Since the total cost is the sum of the investment cost and the operation cost, the model of the total cost of the independent type integrated energy network is C ═ IC + OC.
EXAMPLE III
The embodiment provides a method for solving an optimal configuration of an independent type integrated energy grid electricity-gas energy storage system, and is performed on the basis of the first embodiment and/or the second embodiment with reference to fig. 1.
The constraint conditions are preferably set according to load data of typical days, wind power data, data of conventional thermal power cogeneration units and the like. The constraint conditions comprise electric power balance constraint, heat supply balance constraint, wind power output constraint, unit constraint, energy storage system constraint and gas boiler constraint.
The formula for the electric power balance constraint is:
Figure BDA0002433418820000091
NG is the total number of conventional thermal power generating units, PithIs the power I generated by a conventional thermal power generating unit in a certain periodithIs a state index of whether the distributed power supply is operating, N L is the total number of cogeneration sets, PlthIs the power generated by a cogeneration unit during a certain period of time, LlthIs the state index of whether the distributed power supply works, NR is the amount of new energy, PrthIs new energyPower generated by a source, PESSIs the power at which the energy storage system is charged or discharged, Pload,thThe power required for the load for that period. Wherein, IithAnd LlthIs 0 or 1, in particular, is 1 when the corresponding device is operating; and when the corresponding equipment is stopped, the value is 0.
Further, the formula of the heating balance constraint is:
Figure BDA0002433418820000092
wherein h islthThe thermal power of the thermoelectric power unit i in the time interval is set; pGFIs the thermal power h output by the gas boilerload,thIs the thermal load of the system for that period of time.
Further, the formula of the wind power output constraint is as follows:
Figure BDA0002433418820000093
wherein the content of the first and second substances,
Figure BDA0002433418820000094
is the rated power, v, of the wind turbinehtIs the wind speed, v, over a period of timeCIIs the cut-in wind speed, v, of the fanCOCut-out wind speed, v, of a fanRIs the rated wind speed of the fan.
As an optional technical scheme, the unit constraints include upper and lower limit constraints of output of a conventional thermal power generating unit, constraint of 'fixing power with heat' of a cogeneration unit, upper and lower limit constraints of heat output, total power climbing constraint of the unit and heat climbing constraint of the cogeneration unit.
The formula of the upper and lower output limit constraints of the conventional thermal power generating unit can be as follows:
pi,min≤pi,t≤pi,max。
wherein p isi,min、pi,maxThe minimum output and the maximum output of the unit under the pure condensing working condition are respectively.
The constraint of the cogeneration unit for determining power by heat can be as follows:
Plth＝ahlth+b。
where a is the elastic coefficient of electrical power and thermal power, which can be considered as a constant; b is a constant.
The upper and lower limits of the thermal output may be:
0≤hi,t≤hi,max。
wherein h isi,maxThe maximum limit of the heat output of the unit i is mainly determined by the capacity of the heat exchanger.
The formula of the total power climbing constraint of the unit can be as follows:
Pith-Pit(h-1)≤URi(1-yith)+Pi minyith，
Pith(h-1)-Pith≤DRi(1-zith)+Pi minzith。
wherein, URiIs a ramp-up limit, yithIs whether the unit is started or not, Pi minIs the minimum power generation amount, DR, of the generator setiIs a ramp down limit, zithIs the amount of state whether the unit is shut down.
The formula of the hot ramp constraint of the cogeneration unit may be:
hi,t-hi,t-1≤Δhu,i，
hi,t-1-hi,t≤Δhd,i。
wherein,. DELTA.hu,i、Δhd,iRespectively the maximum variation of the thermal power of the extraction type unit in unit time.
As an optional technical solution, the energy storage system constraint includes an energy storage system constraint and an air storage system constraint.
The formula for the electrical storage system constraints should meet the following requirements:
the charging process is
Figure BDA0002433418820000101
The discharge process is
Figure BDA0002433418820000102
State of charge constrained to SOCemin≤SOCe(t)≤SOCemax。
Wherein SOC (t) is the state of charge of the energy storage system at the end of the tth time period, SOC (t-1) is the state of charge of the energy storage system at the end of the t-1 time period, and is the self-discharge rate of the energy storage system, Pc、PdCharging and discharging power of the energy storage system, η respectivelyc、ηdRespectively the charging and discharging efficiency of the electricity storage system,
Figure BDA0002433418820000111
for rated capacity, SOC, of the electricity storage systememinIs the state of charge minimum, SOCemaxThe state of charge maximum.
The gas storage system constraints should meet the following requirements;
the gas storage process is
Figure BDA0002433418820000112
The gas consumption process is
Figure BDA0002433418820000113
SOCgmin≤SOCg(t)≤SOCgmax。
Therein, SOCg(t) gas storage State, SOC, for time period tg(t-1) gas storage State at time t-1, PgasFor gas turbine power, μ is the gas storage loss rate, ηgch、ηgdisThe air storage efficiency and the air consumption efficiency and the SOC are respectively in the time period tgminIs the state of charge minimum, SOCgmaxAt a maximum value of the state of charge, PGSFor which period the gas boiler power is.
As an alternative solution, the formula of the gas boiler constraint may be:
PGF＝PGηGF。
wherein, PGFFor the thermal power, P, output by the gas-fired boilerGFor input of natural gas power to gas boilers, ηGFThe constraint is set for boiler efficiency.
When the independent type comprehensive energy network operates, the corresponding data can be ensured to stably operate the whole system only if the corresponding data correspondingly meets the constraint conditions.
As an optional technical solution, the iterative algorithm may adopt a monte carlo algorithm or a particle swarm algorithm, and of course, the iterative algorithm of this embodiment is not limited to the above type, as long as the optimal power set can be obtained.
However, in this embodiment, a particle swarm algorithm is preferably used, which has advantages of easy implementation, high accuracy, fast convergence, and the like. Wherein, the obtaining of the optimal power group in the step S30 includes the following steps;
constructing a particle population by combining an independent comprehensive energy network;
randomly initializing a particle population to obtain initial particles, each initial particle having a position and a velocity;
calculating the fitness of each particle, namely obtaining a middle power group and a corresponding comprehensive total cost according to a constraint condition and a comprehensive total cost model, storing the current position and the adaptive value of each particle in pbest of each particle, and storing the position and the adaptive value of an individual with the optimal adaptive value in all pbest in gbest;
updating the position and the speed of the particles to obtain a new particle group;
comparing the values of all pbest and gbest at present, and updating the gbest;
judging whether a stopping condition is met, if so, finishing the calculation and outputting an optimal power group; if not, continuing to calculate the fitness of each particle.
Example four
The embodiment provides an optimal configuration solving device for an electric-gas energy storage system of an independent comprehensive energy network, and aims to solve the problem that the independent comprehensive energy network containing an electric-gas multi-energy storage system lacks a corresponding optimal configuration solving method. Specifically, referring to fig. 2, the regulating device includes a modeling module 1, a condition obtaining module 2, and a processing module 3.
The modeling module 1 is used for establishing a comprehensive total cost model of the independent comprehensive energy network, wherein the comprehensive total cost model comprises an investment cost model of the energy storage system and an operation cost model of the independent comprehensive energy network; the condition acquisition module 2 is used for setting the constraint conditions of the independent comprehensive energy network; the processing module 3 is used for obtaining an optimal power group and/or an optimal comprehensive total cost based on the comprehensive total cost model, the constraint condition and the iterative algorithm and taking the minimum value of the comprehensive total cost as a target.
EXAMPLE five
The electronic device 4 may be a desktop computer, a notebook computer, a server (a physical server or a cloud server), or even a mobile phone or a tablet computer,
fig. 3 is a schematic structural diagram of an electronic device according to a fifth embodiment of the present invention, and as shown in fig. 2 and fig. 3, the electronic device 4 includes a processor 41, a memory 42, an input device 43, and an output device 44; the number of processors 41 in the computer device may be one or more, and one processor 41 is taken as an example in fig. 3; the processor 41, the memory 42, the input device 43 and the output device 44 in the electronic apparatus 4 may be connected by a bus or other means, and the bus connection is exemplified in fig. 3.
The memory 42 is used as a computer-readable storage medium, and can be used for storing software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the independent integrated energy grid electric-gas energy storage system optimal configuration solving method in the embodiment of the present invention, where the program instructions/modules are the modeling module 1, the condition obtaining module 2, and the processing module 3 in the independent integrated energy grid electric-gas energy storage system optimal configuration solving apparatus. The processor 41 executes various functional applications and data processing of the electronic device 4 by running software programs, instructions/modules stored in the memory 42, that is, the method for solving the optimal configuration of the independent integrated energy grid electric-gas energy storage system according to any one or combination of the first to third embodiments is implemented.
The memory 42 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal, and the like. Further, the memory 42 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. The memory 42 may be further configured to include memory remotely located from the processor 41 and connectable to the electronic device 4 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
It is worth mentioning that the input means 43 may be used for receiving the acquired relevant data. The output device 44 may include a document or a display screen or the like display device. Specifically, when the output device is a document, the corresponding information can be recorded in the document according to a specific format, and data integration is realized while data storage is realized; when the output device is a display device such as a display screen, the corresponding information is directly put on the display device so as to be convenient for a user to check in real time.
EXAMPLE six
An embodiment of the present invention further provides a computer-readable storage medium containing computer-executable instructions, which when executed by a computer processor, are configured to perform the above method for solving the optimal configuration of the independent integrated energy grid electric-gas energy storage system, where the method includes:
establishing a comprehensive total cost model of the independent comprehensive energy network, wherein the comprehensive total cost model comprises an investment cost model of the energy storage system and an operation cost model of the independent comprehensive energy network;
setting a constraint condition of the independent comprehensive energy network;
and obtaining an optimal power group and/or an optimal comprehensive total cost based on the comprehensive total cost model, the constraint condition and the iterative algorithm and by taking the minimum value of the comprehensive total cost as a target.
Of course, the embodiments of the present invention provide a computer-readable storage medium whose computer-executable instructions are not limited to the above method operations.
From the above description of the embodiments, it is obvious for those skilled in the art that the present invention can be implemented by software and necessary general hardware, and certainly, can also be implemented by hardware, but the former is a better embodiment in many cases. Based on such understanding, the technical solution of the present invention or portions thereof that contribute to the prior art may be embodied in the form of a software product, where the computer software product may be stored in a computer-readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a FlASH Memory (FlASH), a hard disk or an optical disk of a computer, and includes several instructions to enable an electronic device (which may be a mobile phone, a personal computer, a server, or a network device, and the like) to execute the method for solving the optimal configuration of the independent integrated energy network electrical-electrical energy storage system according to any embodiment or combination of embodiments one to three embodiments of the present invention.
It should be noted that, in the embodiment of the solution for the optimal configuration of the independent integrated energy grid electric-gas energy storage system, the included units and modules are only divided according to the functional logic, but are not limited to the above division, as long as the corresponding functions can be realized. In addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.
The above embodiments are only preferred embodiments of the present invention, and the protection scope of the present invention is not limited thereby, and any insubstantial changes and substitutions made by those skilled in the art based on the present invention are within the protection scope of the present invention.

Claims (10)

1. An independent type comprehensive energy grid electricity-gas energy storage system optimal configuration solving method is characterized by comprising the following steps:
establishing a comprehensive total cost model of the independent comprehensive energy network, wherein the comprehensive total cost model comprises an investment cost model of the energy storage system and an operation cost model of the independent comprehensive energy network;
setting a constraint condition of the independent comprehensive energy network;
and obtaining an optimal power group and/or an optimal comprehensive total cost based on the comprehensive total cost model, the constraint condition and the iterative algorithm and by taking the minimum value of the comprehensive total cost as a target.
2. The method for solving the optimal configuration of the independent integrated energy grid electric-gas energy storage system according to claim 1,
the investment cost model of the energy storage system is as follows:
Figure FDA0002433418810000011
where IC is the investment cost of the energy storage system, kpvfIs the current value coefficient, α is the unit power investment coefficient of the storage battery, β is the unit capacity investment coefficient of the storage battery, χ is the unit power investment coefficient of the P2G equipment and is the unit capacity investment coefficient of the gas storage system,
Figure FDA0002433418810000012
is the maximum power of the storage battery,
Figure FDA0002433418810000013
is the maximum capacity of the storage battery,
Figure FDA0002433418810000014
is the power rating of the p2g device,
Figure FDA0002433418810000015
is the maximum capacity, k, of the gas storage systempvfIs the current value coefficient and the calculation formula is:
Figure FDA0002433418810000016
r is annual interest rate and y is life time.
3. The method for solving the optimal configuration of the independent integrated energy grid electric-gas energy storage system according to claim 2,
the operation cost model of the independent comprehensive energy network is as follows:
Figure FDA0002433418810000017
Figure FDA0002433418810000018
Figure FDA0002433418810000021
wherein OC is the operation cost of the integrated energy network, NT is the total days, NH is the total hours, NG is the total number of conventional thermal power generating units, N L is the total number of cogeneration units, FeIs a function of the power and cost, PithIs the power I generated by a conventional thermal power generating unit in a certain periodithIs a state index, F, of whether the distributed power supply is operatinghIs a function of the power and cost, PlthIs the power generated by a cogeneration unit during a certain period of time, LlthIs the status index, SU, of whether the distributed power supply is operatingthFor the starting cost, SD, of the generator setthThe shutdown cost of the generator set.
4. The method for solving the optimal configuration of the independent type integrated energy grid electric-gas energy storage system according to any one of claims 1 to 3, wherein the constraint conditions comprise an electric power balance constraint, a heat supply balance constraint, a wind power output constraint, a unit constraint, an energy storage system constraint and a gas boiler constraint.
5. The method of solving an optimized configuration for an independent integrated energy grid electric-gas energy storage system according to claim 4, wherein the formula for the electric power balance constraint is:
Figure FDA0002433418810000022
wherein NG is the total number of conventional thermal power generating units, N L is the total number of cogeneration units, NR is the number of new energy, PithIs the power generated by a certain conventional thermal power generating unit in a certain period of time; i isithIs the state index, P, of whether the distributed power supply is workinglthIs the power generated by a cogeneration unit during a certain period of time, LlthIs the state index, P, of whether the distributed power supply is workingrthIs the power generated by the new energy source, PESSIs the power at which the energy storage system is charged or discharged, Pload,thThe power required by the load for the period of time;
the formula of the heat supply balance constraint is as follows:
Figure FDA0002433418810000023
wherein h islthFor the thermal power, P, of the thermoelectric generator set i in this time intervalGFIs the thermal power h output by the gas boilerload,thThe thermal load of the system for the period of time;
the wind power output constraint formula is as follows:
Figure FDA0002433418810000031
wherein the content of the first and second substances,
Figure FDA0002433418810000032
is the rated power, v, of the wind turbinehtIs the wind speed, v, over a period of timeCIIs the cut-in wind speed, v, of the fanCOCut-out wind speed, v, of a fanRIs the rated wind speed of the fan.
6. The method of claim 4, wherein the unit constraints include upper and lower limits of power output of a conventional thermal power generating unit, a cogeneration unit "fix with heat" constraint, upper and lower limits of power output constraint, a total power ramp constraint of a unit, and a thermal ramp constraint of a cogeneration unit.
7. The method of solving for the optimal configuration of the independent integrated energy grid electric-gas energy storage system according to claim 4, wherein the energy storage system constraints comprise energy storage system constraints and gas storage system constraints.
8. An independent type comprehensive energy grid electricity-gas energy storage system optimal configuration solving device is characterized by comprising
The modeling module is used for establishing a comprehensive total cost model of the independent comprehensive energy network, and the comprehensive total cost model comprises an investment cost model of the energy storage system and an operation cost model of the independent comprehensive energy network;
the condition acquisition module is used for setting the constraint conditions of the independent comprehensive energy network;
and the processing module is used for obtaining an optimal power group and/or an optimal comprehensive total cost based on the comprehensive total cost model, the constraint condition and the iterative algorithm and by taking the minimum value of the comprehensive total cost as a target.
9. An electronic device comprising a processor, a storage medium, and a computer program, the computer program being stored in the storage medium, wherein the computer program, when executed by the processor, implements the method for solving an optimized configuration of an independent grid electrical-pneumatic energy storage system according to any one of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the method for solving an optimized configuration of an independent integrated energy grid electric-gas energy storage system according to any one of claims 1 to 7.
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CN112224068A (en) * 2020-08-26 2021-01-15 南方电网电动汽车服务有限公司 Photovoltaic power generation energy storage charging system
CN112446546A (en) * 2020-12-02 2021-03-05 国网辽宁省电力有限公司技能培训中心 Comprehensive energy system two-stage optimal configuration method considering energy reliability
CN112990606A (en) * 2021-04-25 2021-06-18 国网江西省电力有限公司电力科学研究院 Comprehensive energy system autonomous regulation and control method and device considering regulation and control cost

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Publication number Priority date Publication date Assignee Title
CN112224068A (en) * 2020-08-26 2021-01-15 南方电网电动汽车服务有限公司 Photovoltaic power generation energy storage charging system
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CN112990606A (en) * 2021-04-25 2021-06-18 国网江西省电力有限公司电力科学研究院 Comprehensive energy system autonomous regulation and control method and device considering regulation and control cost

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