CN116742662A - Multi-time-scale optimization operation method and system for electric hydrogen coupling system - Google Patents
Multi-time-scale optimization operation method and system for electric hydrogen coupling system Download PDFInfo
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- 229910052739 hydrogen Inorganic materials 0.000 title claims abstract description 213
- 239000001257 hydrogen Substances 0.000 title claims abstract description 213
- UFHFLCQGNIYNRP-UHFFFAOYSA-N Hydrogen Chemical compound [H][H] UFHFLCQGNIYNRP-UHFFFAOYSA-N 0.000 title claims abstract description 164
- 230000008878 coupling Effects 0.000 title claims abstract description 70
- 238000010168 coupling process Methods 0.000 title claims abstract description 70
- 238000005859 coupling reaction Methods 0.000 title claims abstract description 70
- 238000000034 method Methods 0.000 title claims abstract description 54
- 238000005457 optimization Methods 0.000 title claims abstract description 43
- 238000004146 energy storage Methods 0.000 claims abstract description 257
- 230000001932 seasonal effect Effects 0.000 claims abstract description 42
- 230000003993 interaction Effects 0.000 claims abstract description 22
- 238000003860 storage Methods 0.000 claims description 65
- 239000000446 fuel Substances 0.000 claims description 19
- 230000007704 transition Effects 0.000 claims description 18
- 238000006243 chemical reaction Methods 0.000 claims description 17
- 238000004590 computer program Methods 0.000 claims description 15
- 230000006870 function Effects 0.000 claims description 13
- 238000012546 transfer Methods 0.000 claims description 8
- 230000005611 electricity Effects 0.000 claims description 7
- 238000007599 discharging Methods 0.000 claims description 6
- 230000010485 coping Effects 0.000 claims description 5
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 5
- 150000002431 hydrogen Chemical class 0.000 claims description 4
- 238000010521 absorption reaction Methods 0.000 abstract description 5
- 230000007547 defect Effects 0.000 abstract description 4
- 238000013486 operation strategy Methods 0.000 description 8
- 238000004891 communication Methods 0.000 description 7
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- 229910052799 carbon Inorganic materials 0.000 description 2
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- 238000010248 power generation Methods 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 1
- 239000000969 carrier Substances 0.000 description 1
- 230000009194 climbing Effects 0.000 description 1
- 230000000295 complement effect Effects 0.000 description 1
- 230000001351 cycling effect Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 230000029087 digestion Effects 0.000 description 1
- 238000012983 electrochemical energy storage Methods 0.000 description 1
- 239000003792 electrolyte Substances 0.000 description 1
- 238000005265 energy consumption Methods 0.000 description 1
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
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- H02J15/008—Systems for storing electric energy using hydrogen as energy vector
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Abstract
The invention provides a multi-time scale optimization operation method and a multi-time scale optimization operation system for an electro-hydrogen coupling system, wherein the multi-time scale optimization operation method comprises the following steps: acquiring new energy station electric energy storage and hydrogen energy storage data; according to the data characteristics of the electric energy storage and the hydrogen energy storage, a multi-time scale operation model of the electric hydrogen coupling system hybrid energy storage is established to carry out daily peak regulation and seasonal peak regulation; and optimizing the multi-time-scale operation model, establishing an objective function considering the annual operation cost and the minimum punishment cost of the system, generating an optimal scheduling strategy, and performing the optimized operation management of the hybrid energy storage of the electric hydrogen coupling system. The invention realizes the multi-scene requirements of intra-day peak shaving and seasonal peak shaving of the system, and considers the energy interaction between the energy storage so as to avoid the defects of low system absorption level and low energy storage utilization rate.
Description
Technical Field
The invention relates to the technical field of energy storage, in particular to a multi-time-scale optimization operation method and system of an electro-hydrogen coupling system.
Background
Exhaustion of traditional fossil energy and exacerbation of environmental pollution have been a troublesome global problem. In order to promote energy transformation, a low-carbon energy system for generating electricity by using ultra-high proportion renewable energy is constructed. Because of the randomness and intermittence of renewable energy sources, the power balance of the power system is maintained, and energy storage is used as a main support for energy conversion, such as a battery energy storage system, and a plurality of provinces have forced to require a new energy station side to install electric energy storage. However, due to geographical and climate limitations, the utilization rate of the electric energy storage system is low, seasonal and intra-day peak shaving cannot be achieved at the same time, and large-scale renewable energy consumption cannot be guaranteed. Therefore, in addition to solving the short-term energy storage of peak shaving in the day, long-term energy storage becomes indispensable as the power generation proportion of new energy is continuously increased. In view of the fact that the supply and demand of the high-proportion new energy stations are not synchronous on multiple time scales, a new operation mode is designed to meet the requirements of daily and seasonal peak shaving, and an effective energy operation strategy is formulated to improve the utilization rate of the new energy stations and the economical efficiency of the system.
Hybrid energy storage systems complement each other through energy storage characteristics to meet multiple scenario demands. Currently, electrical energy storage is generally suitable for peak shaving in the day because of its high charge and discharge efficiency. The hydrogen storage should be seasonally peaking because of its large storage capacity and low self-depletion efficiency. The hydrogen energy plays an important role as one of the energy forms of zero-carbon high-density energy carriers, flexible energy conversion and wide production sources. Thus, the electro-hydrogen hybrid energy storage system is the best choice to meet both intra-day and seasonal peak shaving.
Due to the difference of the characteristics of energy storage and the working scene, the hybrid energy storage operation strategy is complex. The current research mainly solves the problem of independent work of energy storage according to the coping scenes, and each energy storage working interval is relatively independent. The method leads the hydrogen energy storage to be used as seasonal energy storage with less working times, and the peak regulation pressure of the electric energy storage is high, so that the energy storage utilization rate is improved, and the energy management strategy of energy interaction between the energy storage is considered. Meanwhile, in order to reduce the dispatching complexity, a reasonable state transition limit and energy storage working interval division are sought according to the supply and demand relation of the system.
Disclosure of Invention
The invention provides a multi-time scale optimization operation method and a multi-time scale optimization operation system for an electro-hydrogen coupling system, which are used for realizing the multi-scene requirements of intra-day peak regulation and seasonal peak regulation of the system and considering the energy interaction between energy storage so as to avoid the defects of low system absorption level and low energy storage utilization rate.
The invention provides a multi-time scale optimization operation method of an electro-hydrogen coupling system, which comprises the following steps:
acquiring new energy station electric energy storage and hydrogen energy storage data;
according to the data characteristics of the electric energy storage and the hydrogen energy storage, a multi-time scale operation model of the electric hydrogen coupling system hybrid energy storage is established to carry out daily peak regulation and seasonal peak regulation;
and optimizing the multi-time-scale operation model, establishing an objective function considering the annual operation cost and the minimum punishment cost of the system, generating an optimal scheduling strategy, and performing the optimized operation management of the hybrid energy storage of the electric hydrogen coupling system.
According to the multi-time scale optimization operation method of the electro-hydrogen coupling system, which is provided by the invention, according to the data characteristics of the electric energy storage and the hydrogen energy storage, a multi-time scale operation model of the hybrid energy storage of the electro-hydrogen coupling system is established for carrying out intra-day peak regulation and seasonal peak regulation, and the method specifically comprises the following steps:
according to the physical characteristics of each energy storage, the electric energy storage is used for peak shaving and peak shaving in the day, and the hydrogen energy storage is used for seasonal peak shaving;
based on the coping scene of energy storage, the electric energy storage realizes intra-day peak shaving through charging and discharging, and the hydrogen energy storage system transfers electric energy across seasons through storing or releasing hydrogen to realize seasonal peak shaving;
the hydrogen energy storage system comprises an electrolytic tank, a fuel cell and a hydrogen storage tank, wherein the electrolytic tank is used for producing hydrogen by electrolyzing water, the hydrogen storage tank is used for absorbing hydrogen, the fuel cell is used for burning the hydrogen to generate electricity, and the hydrogen storage tank is used for releasing the hydrogen.
According to the multi-time scale optimization operation method of the electro-hydrogen coupling system, which is provided by the invention, the multi-time scale operation model is optimized to generate an optimal scheduling strategy, and the method specifically comprises the following steps:
based on the system supply and demand relation, the hydrogen energy storage state is subjected to conversion limitation, and the scheduling complexity is reduced by an optimization model of a working interval;
based on the working interval of energy storage, an energy interaction energy management strategy among different energy storage types is provided to improve the energy storage utilization rate.
According to the multi-time-scale optimization operation method of the electro-hydrogen coupling system, which is provided by the invention, a multi-time-scale operation model of hybrid energy storage of the electro-hydrogen coupling system is established, and the multi-time-scale operation method further comprises the following steps:
establishing an electric energy storage model, an electrolytic cell operation model and a fuel cell operation model;
establishing a daily storage model of the hydrogen storage tank based on models of the electrolytic tank and the fuel cell;
and establishing a daytime storage model, a seasonal storage model and a seasonal storage model of the hydrogen storage tank based on the daily storage model.
According to the multi-time-scale optimization operation method of the electro-hydrogen coupling system, which is provided by the invention, the multi-time-scale operation model is optimized, and the method further comprises the following steps:
and constraining the energy storage working states of the established models, wherein the constraint comprises the following steps: charge-discharge power constraint, charge-discharge state constraint, charge state constraint and start-end state constraint of an energy storage scheduling period.
According to the multi-time scale optimization operation method of the electric hydrogen coupling system, provided by the invention, the optimization model for converting and limiting the hydrogen energy storage state and working interval based on the system supply and demand relation reduces the dispatching complexity, and the method specifically comprises the following steps:
limiting the conversion of the hydrogen storage state according to the small operation times of the hydrogen storage annual scheduling period to reduce the scheduling complexity;
based on the state transition frequency limit, an optimal state transition interval model of hydrogen energy storage is designed, and the transition limit with the maximum energy utilization rate is realized by taking the maximum interval shortage or redundant energy as the target.
According to the multi-time scale optimization operation method of the electro-hydrogen coupling system provided by the invention, the energy interaction energy management strategy among different energy storage types is provided based on the energy storage working interval so as to improve the energy storage utilization rate, and the method specifically comprises the following steps:
the overlapping of the electric energy storage and the hydrogen energy storage working interval is realized by expanding the hydrogen energy storage working interval;
based on the overlapping of the working intervals, the joint work between the energy storage in the current interval is realized, and the energy interaction between the energy storage is enhanced.
The invention also provides a multi-time scale optimization operation system of the electro-hydrogen coupling system, which comprises:
the data acquisition module is used for acquiring new energy station electric energy storage and hydrogen energy storage data;
the model building module is used for building a multi-time scale operation model of the hybrid energy storage of the electric-hydrogen coupling system according to the electric energy storage and hydrogen energy storage data characteristics so as to carry out daily peak regulation and seasonal peak regulation;
the optimizing module is used for optimizing the multi-time scale operation model, establishing an objective function considering the minimum annual operation cost and punishment cost of the system, generating an optimal scheduling strategy and carrying out the optimized operation management of the hybrid energy storage of the electro-hydrogen coupling system
The invention also provides electronic equipment, which comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the processor realizes the multi-time scale optimization running method of the electric hydrogen coupling system when executing the program.
The invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a multi-time scale optimized operation method of an electro-hydrogen coupling system as described in any one of the above.
The invention also provides a computer program product comprising a computer program which when executed by a processor implements a multi-time scale optimized operation method of an electro-hydrogen coupling system as described in any one of the above.
According to the multi-time-scale optimized operation method and system for the electro-hydrogen coupling system, provided by the invention, the new energy station converts electric energy into hydrogen energy through the electro-hydrogen hybrid energy storage system and then into electric energy, so that the multi-time-scale energy transfer in the daily and cross-season of energy is realized; through the coupling system, an optimization model of hydrogen energy storage state conversion limit and a working interval thereof is designed to reduce scheduling complexity; and an energy interaction energy management strategy between different energy storage types is provided. The invention combines the electric energy storage system and the hydrogen energy storage system by utilizing the energy storage system, realizes the multi-scene requirements of peak regulation in the system day and seasonal peak regulation, and considers the energy interaction between the energy storage so as to avoid the defects of low system absorption level and low energy storage utilization rate.
Drawings
In order to more clearly illustrate the invention or the technical solutions of the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the invention, and other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of a multi-time scale optimized operation method of an electro-hydrogen coupling system provided by the invention;
FIG. 2 is a second schematic flow chart of a multi-time scale optimization operation method of the electro-hydrogen coupling system provided by the invention;
FIG. 3 is a third schematic flow chart of a multi-time scale optimization operation method of the electro-hydrogen coupling system provided by the invention;
FIG. 4 is a schematic diagram of the module connection of an electrical hydrogen coupling system multi-time scale optimization operating system provided by the invention;
FIG. 5 is a zoned operational diagram of an energy management strategy that accounts for energy interactions between stored energy provided by the present invention;
FIG. 6 is a flow chart of the hydrogen storage state transition limit and the optimization model of the working interval thereof provided by the invention;
fig. 7 is a schematic structural diagram of an electronic device provided by the present invention.
Reference numerals:
110: a data acquisition module; 120: a model building module; 130: an optimization module;
710: a processor; 720: a communication interface; 730: a memory; 740: a communication bus.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The following describes a multi-time scale optimized operation method of the electro-hydrogen coupling system according to the present invention with reference to fig. 1 to 3, including:
s100, acquiring new energy station electric energy storage and hydrogen energy storage data;
s200, building a multi-time-scale operation model of hybrid energy storage of the electric-hydrogen coupling system according to the electric energy storage and hydrogen energy storage data characteristics to carry out intra-day peak regulation and seasonal peak regulation;
and S300, optimizing the multi-time-scale operation model, establishing an objective function with minimum annual operation cost and punishment cost of the system considered, generating an optimal scheduling strategy, and performing optimal operation management of the hybrid energy storage of the electro-hydrogen coupling system.
The electric-hydrogen coupling system provided by the embodiment of the invention consists of the electric energy storage, the fuel cell, the hydrogen storage tank and the electrolytic tank, and the energy interaction between the energy storage and the optimization of the hydrogen energy storage state conversion limit and the working interval thereof are also considered on the basis of meeting the requirements of multiple scenes, so that the system digestion level is further improved.
The multi-time scale optimization operation strategy of the electric-hydrogen coupling system provided by the embodiment of the invention aims to simultaneously meet the requirements of peak shaving and seasonal peak shaving in the day and improve the utilization rate of energy storage through the energy interaction between the complementation of the energy storage characteristics and the energy storage, thereby facilitating the cross-season transfer of energy, realizing the maximization of the absorption level of a new energy station and improving the economical efficiency of the system.
The optimized operation strategy provided by the embodiment of the invention is obtained based on the following assumptions:
the working efficiency of energy storage is constant; the self-loss rate of the stored energy is zero.
According to the data characteristics of the electric energy storage and the hydrogen energy storage, a multi-time scale operation model of the electric hydrogen coupling system hybrid energy storage is established to carry out daily peak regulation and seasonal peak regulation, and the method specifically comprises the following steps:
s101, according to the physical characteristics of each energy storage, the electric energy storage corresponds to peak shaving in the day, and the hydrogen energy storage corresponds to seasonal peak shaving requirements;
s102, based on a coping scene of energy storage, the electric energy storage realizes intra-day peak shaving through charging and discharging, and the hydrogen energy storage system transfers electric energy across seasons through storing or releasing hydrogen to realize seasonal peak shaving;
s103, the hydrogen energy storage system comprises an electrolytic tank, a fuel cell and a hydrogen storage tank, wherein the electrolytic tank is used for producing hydrogen by electrolyzing water, the hydrogen storage tank is used for absorbing hydrogen, the fuel cell is used for burning the hydrogen to generate electricity, and the hydrogen storage tank is used for releasing the hydrogen.
Specifically, according to the functional difference of each system, the system is divided into four parts, namely energy input, energy conversion, energy storage and energy output, so as to meet the power requirement of a load side;
the energy input part comprises a wind turbine, the energy conversion part comprises an electrolytic tank and a fuel cell, the energy storage part comprises a hydrogen storage tank and electrochemical energy storage, and the energy output part comprises an electric load;
according to the physical characteristics of each energy storage, the electric energy storage is used for peak shaving and peak shaving in the day, and the hydrogen energy storage is used for seasonal peak shaving requirements.
Based on the intra-day peak shaving scene of energy storage, the electric energy storage can realize intra-day peak shaving through charging and discharging.
Based on the seasonal peak shaving scene of energy storage, the hydrogen energy storage system transfers electric energy across seasons by storing or releasing hydrogen so as to realize seasonal peak shaving;
the hydrogen energy storage system comprises an electrolytic tank, a fuel cell and a hydrogen storage tank, wherein the electrolytic tank is used for producing hydrogen by electrolyzing water, and the hydrogen storage tank is used for absorbing hydrogen; the fuel cell burns hydrogen to generate electricity, and the hydrogen storage tank releases hydrogen.
Optimizing the multi-time scale operation model to generate an optimal scheduling strategy, which comprises the following steps:
s201, based on a system supply and demand relation, carrying out conversion limitation on a hydrogen energy storage state and reducing scheduling complexity by an optimization model of a working interval;
s202, based on an energy storage working interval, an energy interaction energy management strategy among different energy storage types is provided to improve the energy storage utilization rate.
Based on a layered time discretization method, an operation model of each energy storage system is established;
according to the operation mode of short-time energy storage and electric energy storage, the energy storage process of the electric energy storage model is as follows:
based on the stored electrical energy storage, the state of charge can be expressed as:
wherein,,representing the energy storage capacity of the electrical energy storage; />Respectively representing the charge/discharge power of the electric energy storage; />Representing the state of charge of the electrical energy storage;
according to the operation mode of seasonal energy storage and hydrogen energy storage, modeling each hydrogen energy storage part:
wherein, the operation model of the electrolytic cell is as follows:
the operation model of the fuel cell is as follows:
based on the models of the electrolyzer and the fuel cell, the intra-day storage model of the hydrogen storage tank:
based on the daytime storage model, the daytime storage model of the hydrogen storage tank:
based on the daytime storage model, a seasonal storage model of the hydrogen storage tank:
based on the seasonal storage model, the annual storage model of the hydrogen storage tank:
based on the energy storage physical characteristics, the energy storage working condition is restrained to ensure the normal and sustainable operation of the system, and the energy storage working condition is mainly restrained by charge and discharge power restraint, charge and discharge state restraint, charge state restraint and start and end state restraint of an energy storage scheduling period;
wherein, for charge-discharge power constraint, since the scheduling of the power system requires 4-6 hours of continuous charge and discharge of the electric energy storage, the continuous charge-discharge time of the electric energy storage is defined as 6 hours:
seasonal scheduled hydrogen storage requires monthly unit maintenance, where the continuous charge and discharge time of the hydrogen storage is set to 720h:
based on the constraint of the charging and discharging power of the hydrogen energy storage, the climbing power of the electrolytic tank is designed to reduce the conversion of the working state of the electrolyte, and the high operation efficiency is maintained:
aiming at the constraint of the charge and discharge states, the energy storage system is required to charge and discharge simultaneously:
for state of charge constraints to ensure that the stored energy does not exceed its own maximum storage:
aiming at start and end state constraint in a scheduling period, the system can be ensured to run continuously;
the electric energy storage is used as the daily energy storage, and the daily start and end states are the same:
hydrogen energy storage as seasonal energy storage requires the same start and end states throughout the year:
wherein the method comprises the steps ofVariables representing the charge and discharge states of the electrical energy storage, which are boolean variables; />Variables representing the operating conditions of the electrolyzer and the fuel cell are boolean variables.
Based on an electro-hydrogen coupling system multi-time scale optimization operation strategy, the optimization of the electro-hydrogen coupling system multi-time scale optimization operation model comprises the following steps:
establishing an objective function with minimum annual running cost and punishment cost of the system;
min S＝C work +C pns
the annual operation cost is mainly embodied by energy storage loss electric energy, and comprises the operation cost of electric energy storage and hydrogen energy storage:
based on penalty costs, including wind curtailment and load shedding penalty:
meanwhile, the electric power of the electric-hydrogen coupling system needs real-time electric energy balance so as to ensure that the operation of the system is kept reasonable:
the operation strategy includes scheduling of the stored energy in various situations, thus involving several conditional statements that in turn have to be linearized to obtain a better optimal solution. The linear constraint may be adapted to different situations using logical variables:
wherein a and b are both boolean variables; m is an infinite number;
further, the electric power system calculation analysis software MATLAB and the mixed integer linear programming solving software CPLEX and GUROBI can run a computer program on the software, and the software realizes the multi-time scale optimization operation strategy of the electric-hydrogen coupling system when executing the computer program.
The zonal operation diagram of the energy management strategy provided by the present invention that takes into account the energy interactions between the stored energies is described below in conjunction with FIG. 5.
Specifically, the strategy achieves the overlapping of the electric energy storage and the hydrogen energy storage working interval by expanding the hydrogen energy storage working interval;
based on the overlapping of the working intervals, the joint work between the energy storage intervals is realized, so that the energy interaction between the energy storage is enhanced, and the utilization rate of the hydrogen energy storage is improved.
Based on the new energy management strategy, a specific energy management strategy is designed by taking the charge state of electric energy storage as a reference:
when (when)When (1): the hydrogen storage works together with the electrical storage. Each energy storage can supply or absorb energy at the same time, or the hydrogen energy storage can charge the electric energy storage or absorb the energy released by the electric energy storage;
when (when)When (1): if the system requires energy storage to absorb energy, then the electrical energy storage can function, whereas the hydrogen energy storage can function;
when (when)When (1): if the system requires stored energy to provide energy, then the electrical stored energy can function, and vice versa,the hydrogen energy storage can play a role;
FIG. 6 illustrates a flow chart of an example hydrogen storage state transition limit and an optimization model of its operating range, as shown in FIG. 6;
specifically, according to the energy storage operation model, the operation times in the hydrogen energy storage annual scheduling period are less;
limiting hydrogen energy storage state transition to reduce scheduling complexity based on the number of hydrogen energy storage operations, wherein the uncertainty of the new energy power generation technology causes various typical daily working state intervals to be indeterminate based on the state transition number limitation;
in order to ensure that the hydrogen energy storage absorbs or supplies energy to the maximum extent, an optimal state transition interval model of the hydrogen energy storage is designed, and T is taken into consideration i,j Maximum targeted transition limits.
Setting the maximum state transition times to be three times according to the optimization model;
dividing a day into three sections according to the maximum state transition times, and respectively calculating the system energy of each sectionAnd (3) summing;
based on the sum of system energies P m Taking negative for the partition with the total value of negative number so as to solve the interval of the maximum system deficiency or redundant energy conveniently;
seeking maximum system energy T by cycling through all interval classification cases i,j Sum up;
where i, j represent the optimized partition location.
From the above description of embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented in software plus a necessary general purpose hardware platform. Based on such an understanding, the above-described technical solution, in essence or contributing to the prior art, may be embodied in the form of a software product, which may be run on software, which when executed implements a multi-time-scale optimized operation strategy of the electro-hydrogen coupling system.
Referring to fig. 4, the invention also discloses a multi-time scale optimizing operation system of the electro-hydrogen coupling system, which comprises:
a data acquisition module 110, configured to acquire new energy station electricity energy storage and hydrogen energy storage data;
the model building module 120 is configured to build a multi-time scale operation model of hybrid energy storage of the electro-hydrogen coupling system according to the data characteristics of the electric energy storage and the hydrogen energy storage, so as to perform intra-day peak regulation and seasonal peak regulation;
and the optimization module 130 is used for optimizing the multi-time scale operation model, establishing an objective function considering the annual operation cost and the minimum punishment cost of the system, generating an optimal scheduling strategy, and performing the optimal operation management of the hybrid energy storage of the electro-hydrogen coupling system.
The model building module is used for electrically storing energy to cope with peak shaving and peak shaving in the day and storing hydrogen to cope with seasonal peak shaving demands according to the physical characteristics of each energy storage;
based on the coping scene of energy storage, the electric energy storage realizes intra-day peak shaving through charging and discharging, and the hydrogen energy storage system transfers electric energy across seasons through storing or releasing hydrogen to realize seasonal peak shaving;
the hydrogen energy storage system comprises an electrolytic tank, a fuel cell and a hydrogen storage tank, wherein the electrolytic tank is used for producing hydrogen by electrolyzing water, the hydrogen storage tank is used for absorbing hydrogen, the fuel cell is used for burning the hydrogen to generate electricity, and the hydrogen storage tank is used for releasing the hydrogen.
The optimizing module is used for carrying out conversion limitation on the hydrogen energy storage state based on the system supply and demand relation and reducing the dispatching complexity by an optimizing model of the working interval;
based on the working interval of energy storage, an energy interaction energy management strategy among different energy storage types is provided to improve the energy storage utilization rate.
Based on the system supply and demand relation, the hydrogen energy storage state is subjected to conversion limitation, and the scheduling complexity is reduced by an optimization model of a working interval, and the method specifically comprises the following steps:
limiting the conversion of the hydrogen storage state according to the small operation times of the hydrogen storage annual scheduling period to reduce the scheduling complexity;
based on the state transition frequency limit, an optimal state transition interval model of hydrogen energy storage is designed, and the transition limit with the maximum energy utilization rate is realized by taking the maximum interval shortage or redundant energy as the target.
Based on the working interval of energy storage, an energy interaction energy management strategy among different energy storage types is provided to improve the energy storage utilization rate, and the method specifically comprises the following steps:
the overlapping of the electric energy storage and the hydrogen energy storage working interval is realized by expanding the hydrogen energy storage working interval;
based on the overlapping of the working intervals, the joint work between the energy storage in the current interval is realized, and the energy interaction between the energy storage is enhanced.
According to the multi-time-scale optimized operation system of the electro-hydrogen coupling system, provided by the invention, the new energy station converts electric energy into hydrogen energy through the electro-hydrogen hybrid energy storage system and then into electric energy, so that the multi-time-scale energy transfer in the daily and cross-season of energy is realized; through the coupling system, an optimization model of hydrogen energy storage state conversion limit and a working interval thereof is designed to reduce scheduling complexity; and an energy interaction energy management strategy between different energy storage types is provided. The invention combines the electric energy storage system and the hydrogen energy storage system by utilizing the energy storage system, realizes the multi-scene requirements of peak regulation in the system day and seasonal peak regulation, and considers the energy interaction between the energy storage so as to avoid the defects of low system absorption level and low energy storage utilization rate.
Fig. 7 illustrates a physical schematic diagram of an electronic device, as shown in fig. 7, which may include: processor 710, communication interface (Communications Interface) 720, memory 730, and communication bus 740, wherein processor 710, communication interface 720, memory 730 communicate with each other via communication bus 740. Processor 710 may invoke logic instructions in memory 730 to perform a method of multi-time scale optimized operation of an electro-hydrogen coupled system, the method comprising: acquiring new energy station electric energy storage and hydrogen energy storage data;
according to the data characteristics of the electric energy storage and the hydrogen energy storage, a multi-time scale operation model of the electric hydrogen coupling system hybrid energy storage is established to carry out daily peak regulation and seasonal peak regulation;
and optimizing the multi-time-scale operation model, establishing an objective function considering the annual operation cost and the minimum punishment cost of the system, generating an optimal scheduling strategy, and performing the optimized operation management of the hybrid energy storage of the electric hydrogen coupling system.
Further, the logic instructions in the memory 730 described above may be implemented in the form of software functional units and may be stored in a computer readable storage medium when sold or used as a stand alone product. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
In another aspect, the present invention also provides a computer program product, the computer program product comprising a computer program, the computer program being storable on a non-transitory computer readable storage medium, the computer program, when executed by a processor, being capable of performing a multi-time-scale optimized operation method of an electrical hydrogen coupling system provided by the above methods, the method comprising: acquiring new energy station electric energy storage and hydrogen energy storage data;
according to the data characteristics of the electric energy storage and the hydrogen energy storage, a multi-time scale operation model of the electric hydrogen coupling system hybrid energy storage is established to carry out daily peak regulation and seasonal peak regulation;
and optimizing the multi-time-scale operation model, establishing an objective function considering the annual operation cost and the minimum punishment cost of the system, generating an optimal scheduling strategy, and performing the optimized operation management of the hybrid energy storage of the electric hydrogen coupling system.
In yet another aspect, the present invention further provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, is implemented to perform a multi-time scale optimized operation method of an electrical hydrogen coupling system provided by the above methods, the method comprising: acquiring new energy station electric energy storage and hydrogen energy storage data;
according to the data characteristics of the electric energy storage and the hydrogen energy storage, a multi-time scale operation model of the electric hydrogen coupling system hybrid energy storage is established to carry out daily peak regulation and seasonal peak regulation;
and optimizing the multi-time-scale operation model, establishing an objective function considering the annual operation cost and the minimum punishment cost of the system, generating an optimal scheduling strategy, and performing the optimized operation management of the hybrid energy storage of the electric hydrogen coupling system.
The apparatus embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on this understanding, the foregoing technical solution may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the respective embodiments or some parts of the embodiments.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. An electrical hydrogen coupling system multi-time scale optimization operation method is characterized by comprising the following steps:
acquiring new energy station electric energy storage and hydrogen energy storage data;
according to the data characteristics of the electric energy storage and the hydrogen energy storage, a multi-time scale operation model of the electric hydrogen coupling system hybrid energy storage is established to carry out daily peak regulation and seasonal peak regulation;
and optimizing the multi-time-scale operation model, establishing an objective function considering the annual operation cost and the minimum punishment cost of the system, generating an optimal scheduling strategy, and performing the optimized operation management of the hybrid energy storage of the electric hydrogen coupling system.
2. The multi-time scale optimized operation method of the electric hydrogen coupling system according to claim 1, wherein the multi-time scale operation model of the electric hydrogen coupling system hybrid energy storage is established for carrying out intra-day peak shaving and seasonal peak shaving according to the electric energy storage and hydrogen energy storage data characteristics, and the method specifically comprises the following steps:
according to the physical characteristics of each energy storage, the electric energy storage is used for peak shaving and peak shaving in the day, and the hydrogen energy storage is used for seasonal peak shaving;
based on the coping scene of energy storage, the electric energy storage realizes intra-day peak shaving through charging and discharging, and the hydrogen energy storage system transfers electric energy across seasons through storing or releasing hydrogen to realize seasonal peak shaving;
the hydrogen energy storage system comprises an electrolytic tank, a fuel cell and a hydrogen storage tank, wherein the electrolytic tank is used for producing hydrogen by electrolyzing water, the hydrogen storage tank is used for absorbing hydrogen, the fuel cell is used for burning the hydrogen to generate electricity, and the hydrogen storage tank is used for releasing the hydrogen.
3. The method for optimizing operation of multiple time scales of an electrical hydrogen coupling system according to claim 1, wherein optimizing the multiple time scales operation model generates an optimal scheduling strategy, and specifically comprises:
based on the system supply and demand relation, the hydrogen energy storage state is subjected to conversion limitation, and the scheduling complexity is reduced by an optimization model of a working interval;
based on the working interval of energy storage, an energy interaction energy management strategy among different energy storage types is provided to improve the energy storage utilization rate.
4. The method for multi-time scale optimized operation of an electro-hydrogen coupling system according to claim 1, wherein the step of establishing a multi-time scale operation model of hybrid energy storage of the electro-hydrogen coupling system further comprises:
establishing an electric energy storage model, an electrolytic cell operation model and a fuel cell operation model;
establishing a daily storage model of the hydrogen storage tank based on models of the electrolytic tank and the fuel cell;
and establishing a daytime storage model, a seasonal storage model and a seasonal storage model of the hydrogen storage tank based on the daily storage model.
5. The method of multi-time scale optimization operation of an electrical hydrogen coupling system of claim 1, wherein optimizing the multi-time scale operation model further comprises:
and constraining the energy storage working states of the established models, wherein the constraint comprises the following steps: charge-discharge power constraint, charge-discharge state constraint, charge state constraint and start-end state constraint of an energy storage scheduling period.
6. The multi-time scale optimization operation method of an electrical hydrogen coupling system according to claim 3, wherein the optimization model for performing conversion limitation on the hydrogen energy storage state and working interval based on the system supply-demand relationship reduces the scheduling complexity, and specifically comprises the following steps:
limiting the conversion of the hydrogen storage state according to the small operation times of the hydrogen storage annual scheduling period to reduce the scheduling complexity;
based on the state transition frequency limit, an optimal state transition interval model of hydrogen energy storage is designed, and the transition limit with the maximum energy utilization rate is realized by taking the maximum interval shortage or redundant energy as the target.
7. The method for multi-time scale optimization operation of an electrical hydrogen coupling system according to claim 3, wherein the energy storage-based working interval proposes an energy interaction energy management strategy between different energy storage types to improve the energy storage utilization rate, and specifically comprises:
the overlapping of the electric energy storage and the hydrogen energy storage working interval is realized by expanding the hydrogen energy storage working interval;
based on the overlapping of the working intervals, the joint work between the energy storage in the current interval is realized, and the energy interaction between the energy storage is enhanced.
8. An electro-hydrogen coupling system multi-time scale optimized operation system, the system comprising:
the data acquisition module is used for acquiring new energy station electric energy storage and hydrogen energy storage data;
the model building module is used for building a multi-time scale operation model of the hybrid energy storage of the electric-hydrogen coupling system according to the electric energy storage and hydrogen energy storage data characteristics so as to carry out daily peak regulation and seasonal peak regulation;
and the optimizing module is used for optimizing the multi-time scale operation model, establishing an objective function considering the annual operation cost and the minimum punishment cost of the system, generating an optimal scheduling strategy and carrying out the optimized operation management of the hybrid energy storage of the electro-hydrogen coupling system.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of multi-time scale optimized operation of the electro-hydrogen coupling system of any one of claims 1 to 7 when the program is executed by the processor.
10. A non-transitory computer readable storage medium having stored thereon a computer program, wherein the computer program when executed by a processor implements the multi-time scale optimized operation method of an electro-hydrogen coupling system according to any of claims 1 to 7.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117613962A (en) * | 2023-11-30 | 2024-02-27 | 国网青海省电力公司清洁能源发展研究院 | Hydrogen electricity coupling hydrogen energy storage energy peak shaving power generation system |
| CN118134109A (en) * | 2024-05-06 | 2024-06-04 | 山东大学 | Multi-time scale scene decomposition-based energy storage planning method for electro-hydrogen coupling system |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117613962A (en) * | 2023-11-30 | 2024-02-27 | 国网青海省电力公司清洁能源发展研究院 | Hydrogen electricity coupling hydrogen energy storage energy peak shaving power generation system |
| CN117613962B (en) * | 2023-11-30 | 2024-05-03 | 国网青海省电力公司清洁能源发展研究院 | Hydrogen electricity coupling hydrogen energy storage energy peak shaving power generation system |
| CN118134109A (en) * | 2024-05-06 | 2024-06-04 | 山东大学 | Multi-time scale scene decomposition-based energy storage planning method for electro-hydrogen coupling system |
| CN118134109B (en) * | 2024-05-06 | 2024-08-13 | 山东大学 | Multi-time scale scene decomposition-based energy storage planning method for electro-hydrogen coupling system |
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