CN111967651A - Energy system optimization method based on block chain in complex scene - Google Patents
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Abstract
The invention discloses an energy system optimization method based on a block chain in a complex scene, which specifically comprises the following steps: the invention relates to the technical field of intelligent power grid control, in particular to energy transfer between a power supply system and a power utilization system. Compared with a reference file, the energy system optimization method based on the block chain under the complex scene is characterized in that a single target is optimized, an energy optimization scheduling model is established through an optimization model module through a day rolling optimization model in an optimization algorithm module, and therefore the problem that a traditional mechanism is high in cost and the defect that a traditional optimization model cannot solve is solved.
Description
Technical Field
The invention relates to the technical field of intelligent power grid control, in particular to an energy system optimization method based on a block chain in a complex scene.
Background
The blockchain technology is used as a decentralized (open, flat and flat system structure without mandatory central control) database technology, and is characterized by decentralization, credibility and traceability, non-falsification, natural coincidence of intelligent management characteristics and attributes of distributed energy sources, in the process of renovating the traditional Internet pattern and mode, the high-efficiency operation in various aspects of transaction and authentication is promoted by taking the guarantee trust as the core, the electric power system also relates to a large amount of physical constraints besides the value flow, the complexity is much higher than that of most traditional industries in which the blockchain application has appeared, and the blockchain underlying technologies widely used at present, such as Ether Fang, super book, Bite currency and the like, the existing block chain technology is not good at solving the large-scale complex optimization problem of the power system, in addition, the method is not suitable for a system with an excessive number of nodes, such as a power system, in terms of safety and expandability.
Referring to chinese patent publication No. CN109102120B, a block chain-based energy system optimization method in a complex scene is proposed, in which a PoO consensus mechanism is introduced into a block chain model to replace a conventional block chain consensus mechanism, thereby overcoming the defects that the conventional mechanism has high cost and the optimization model cannot be solved, and a PoO fast verification method based on the KKT condition is proposed to achieve distributed network consensus in a PoO mechanism and design a block structure suitable for storing state quantities of an electric power system, but when energy allocation is performed inside an energy system, coordinated optimization and intelligent control of distributed energy cannot be effectively implemented by using a block chain technology in a complex scene, resulting in reduction of safety and stability of power grid operation.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides an energy system optimization method based on a block chain in a complex scene, and solves the problem that the operation safety and stability of a power grid are reduced because the coordination optimization and intelligent control of distributed energy cannot be effectively realized by using a block chain technology in the complex scene when the energy system based on the block chain is used for energy allocation.
(II) technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme: a block chain-based energy system optimization method in a complex scene specifically comprises the following steps:
s1, energy transfer is carried out between the power supply system and the power utilization system: electric energy in the power supply system is redistributed to each power utilization system through an energy optimization system, an energy transfer module is used for transferring the electric energy, an energy analysis module is used for analyzing electric energy data in the transfer process, specifically, electric energy filtering, electric energy fluctuation and electric energy intensity are analyzed, the electric energy filtering, electric energy fluctuation and electric energy intensity data are sent to block chain data for information storage, and then, an energy management unit is used for optimizing and managing the electric energy data in the transfer process;
s2, allocating the shortage of the power utilization system: the shortage confirmation module and the data analysis module in the energy management unit are utilized to confirm the energy amount of different power utilization systems, and finally, the energy allocation module is utilized to allocate energy to the power utilization systems with different shortage amounts;
s3, design of optimization scheme and program execution: the method comprises the steps that protocols between different power utilization systems and power supply systems are used for intervening in a program execution unit, protocol contents in a protocol generation unit are led into a program control module through a protocol control module, and then a program set in an energy management terminal is operated in an energy optimization unit through an optimization processing module;
s4, optimizing and scheduling energy: establishing an energy optimization scheduling model through an optimization model module according to a day-rolling optimization model in an optimization algorithm module, establishing objective functions f1, f2 and f3 through conventional unit constraint, network safety constraint, AGC unit adjustment margin and unit reserve capacity constraint, and then respectively carrying out single-target optimization on f1, f2 and f3 to obtain an optimal objective vector f1*、f2*、f3*Taking initialization weights A1 and A2, substituting the initialization weights A1 and A2 and the optimization objective function value into the objective function of the power balance constraint, and outputting the probability f1 of the optimization objective function*And judging that f1 is more than f1*If f1 < f1 is judged*If yes, increasing the value of the weight value A1, then continuing to substitute the initialization weights A1 and A2 and the optimization objective function value into the objective function of the power balance constraint, and outputting the probability f1 of the optimization objective function*And judging that f1 is more than f1*If f1 < f1 is judged*If the energy source is not established, outputting an optimal scheduling scheme to realize the optimal scheduling of the energy source;
s5, monitoring and managing the energy system: the centralized management, storage and allocation of data in the whole system are realized through a data receiving module, a data acquisition module, a data partitioning module, a data connection module, a data sending module and an information marking module, an information recording module and an information partitioning chain in an information management unit, the setting of a program in the system is completed through a program editing module, and meanwhile, the monitoring and alarm processing of abnormal data of energy in the energy scheduling process are realized through an energy monitoring module.
Preferably, in the step S4, the objective function of the power balance constraint is
A1＞A2Wherein
The maximum possible value of the objective function 1; f. of2 *And f3 *Is the minimum of objective functions 2 and 3, a1 and a2 are the weight coefficients of two priorities of the objective function, u and v are the weight coefficients of objective function 2 and objective function 3,
and
deviation from the ideal target value for the objective function 1
A negative deviation and a positive deviation of (a),
and
deviation from the ideal target value f for the objective function 22 *Negative and positive deviations of;
and
deviation from the ideal target value f for the objective function 33 *Negative and positive deviations.
Preferably, the energy system based on the block chain under the complex scene comprises an energy management terminal, an energy optimization system, an electricity utilization system and a power supply system, the energy management terminal is in bidirectional connection with the energy optimization system, the energy optimization system is in bidirectional connection with the electricity utilization system and the power supply system respectively, the energy management terminal comprises an information management unit, an information storage unit, a program editing module and an energy monitoring module, the energy optimization system comprises an energy transfer module, an energy analysis module, an energy management unit, block chain data, a program execution unit, a protocol generation unit and an energy optimization unit, the energy transfer module is in bidirectional connection with the energy analysis module and the energy management unit respectively, the output end of the energy analysis module is connected with the input end of the block chain data, and the energy management unit is connected with the block chain data, The program execution unit realizes bidirectional connection, and the program execution unit realizes bidirectional connection with the protocol generation unit and the energy optimization unit respectively.
Preferably, the energy management unit includes an vacancy confirmation module, a data analysis module and an energy allocation module, and the data analysis module is in bidirectional connection with the block chain data.
Preferably, the vacancy confirmation module is respectively in bidirectional connection with the energy transfer module, the data analysis module and the energy allocation module, and the energy allocation module is in bidirectional connection with the program execution unit.
Preferably, the program execution unit includes a program control module, a protocol control module and an optimization processing module, and the protocol control module and the protocol unit are connected in a bidirectional manner.
Preferably, the program control module is respectively in bidirectional connection with the energy management unit, the protocol control module and the optimization processing module, and the optimization processing module is in bidirectional connection with the energy optimization unit.
Preferably, the energy optimization unit comprises an optimization model module, an optimization algorithm module and a scheme establishment module, and the optimization model module is respectively in bidirectional connection with the program execution unit, the optimization algorithm module and the scheme establishment module.
Preferably, the information management unit comprises a data receiving module, a data acquisition module, a data partitioning module, a data connection module and a data sending module.
Preferably, the information storage unit includes an information marking module, an information recording module and an information block chain, and the information block chain is composed of a plurality of information blocks.
(III) advantageous effects
The invention provides an energy system optimization method based on a block chain in a complex scene. Compared with the prior art, the method has the following beneficial effects:
(1) the energy system optimization method based on the block chain in the complex scene comprises the steps of establishing an energy optimization scheduling model through an optimization model module through a day-rolling optimization model in an optimization algorithm module, establishing objective functions f1, f2 and f3 through conventional unit constraint, network safety constraint, AGC unit adjustment margin and unit reserve capacity constraint, and then respectively carrying out single-target optimization on f1, f2 and f3 to obtain an optimal objective vector f1*、f2*、f3*Taking initialization weights A1 and A2, substituting the initialization weights A1 and A2 and the optimization objective function value into the objective function of the power balance constraint, and outputting the probability f1 of the optimization objective function*And judging that f1 is more than f1*If f1 < f1 is judged*If yes, increasing the value of the weight value A1, then continuing to substitute the initialization weights A1 and A2 and the optimization objective function value into the objective function of the power balance constraint, and outputting the probability f1 of the optimization objective function*And judging that f1 is more than f1*If f1 < f1 is judged*If the situation is not established, an optimal scheduling scheme is output to achieve optimal scheduling of energy, compared with a reference file, the scheme provided by the invention optimizes a single target, solves the problems that when an existing energy system based on a block chain is used for energy allocation, coordinated optimization and intelligent control of distributed energy are effectively achieved by using a block chain technology in a complex scene, improves the operation safety and stability of a power grid, can effectively provide method support for an optimization scheme according to a rolling optimization model in the day, solves the problem of high cost of a traditional mechanism, and perfects the defect that the traditional optimization model cannot solve。
(2) The energy system optimization method based on the block chain under the complex scene is characterized in that the energy management terminal is in bidirectional connection with the energy optimization system, the energy optimization system is in bidirectional connection with the power utilization system and the power supply system respectively, the energy management terminal comprises an information management unit, an information storage unit, a program editing module and an energy monitoring module, the energy optimization system comprises an energy transfer module, an energy analysis module, an energy management unit, block chain data, a program execution unit, a protocol generation unit and an energy optimization unit, the energy transfer module is in bidirectional connection with the energy analysis module and the energy management unit respectively, the output end of the energy analysis module is connected with the input end of the block chain data, the energy management unit is in bidirectional connection with the block chain data and the program execution unit respectively, and the program execution unit is connected with the protocol generation unit respectively, The energy optimization unit realizes bidirectional connection, optimizes energy by using the energy management terminal and the energy optimization system in the energy system, and combines the block chain technology to record energy optimization data in real time, thereby ensuring the stability of energy optimization.
(3) The block chain-based energy system optimization method under the complex scene comprises an energy management unit, an energy allocation unit, a protocol control unit and an optimization processing unit, wherein the energy management unit comprises an vacancy confirmation module, a data analysis module and an energy allocation module, the data analysis module is bidirectionally connected with block chain data, the vacancy confirmation module is bidirectionally connected with the energy transfer module, the data analysis module and the energy allocation module respectively, the energy allocation module is bidirectionally connected with the program execution unit, the program execution unit comprises a program control module, a protocol control module and an optimization processing module, the protocol control module is bidirectionally connected with the protocol unit, the program control module is bidirectionally connected with the energy management unit, the protocol control module and the optimization processing module respectively, the optimization processing module is bidirectionally connected with the energy optimization unit, the energy optimization unit comprises an optimization model module, an optimization algorithm module and a scheme establishment module, and the optimization model module is respectively in bidirectional connection with the program execution unit, the optimization algorithm module and the scheme establishment module, and the energy management unit and the program execution unit are utilized to provide data support for establishment of the energy optimization model, so that the energy optimization scheme is established through the energy optimization model.
(3) The energy system optimization method based on the block chain under the complex scene comprises a data receiving module, a data acquisition module, a data partitioning module, a data connection module and a data sending module through an information management unit, wherein the information storage unit comprises an information marking module, an information recording module and an information block chain, the information block chain is composed of a plurality of information blocks, electric energy is transferred by using an energy transfer module, meanwhile, electric energy data in the transfer process is analyzed by using an energy analysis module, electric energy filtering, electric energy fluctuation and electric energy intensity are specifically analyzed, the electric energy filtering, electric energy fluctuation and electric energy intensity data are sent to the block chain data to be stored, and then, the electric energy data in the transfer process are optimized and managed through an energy management unit.
Drawings
FIG. 1 is a flow chart of a block chain-based energy system optimization method in a complex scenario according to the present invention;
FIG. 2 is a logic diagram of an energy-optimized scheduling scheme of the present invention;
FIG. 3 is a schematic block diagram of the energy system of the present invention;
FIG. 4 is a schematic block diagram of the energy management terminal according to the present invention;
FIG. 5 is a schematic block diagram of the energy optimization system of the present invention;
FIG. 6 is a schematic block diagram of the structure of the energy management unit of the present invention;
FIG. 7 is a schematic block diagram of the structure of a program execution unit according to the present invention;
FIG. 8 is a schematic block diagram of the structure of the energy optimization unit of the present invention;
FIG. 9 is a block diagram of an information management unit according to the present invention;
FIG. 10 is a block diagram of an information storage unit according to the present invention.
In the figure, 1 is an energy management terminal, 11 is an information management unit, 12 is an information storage unit, 13 is a program editing module, 14 is an energy monitoring module, 2 is an energy optimization system, 21 is an energy transfer module, 22 is an energy analysis module, 23 is an energy management unit, 231 is an vacancy confirmation module, 232 is a data analysis module, 233 is an energy allocation module, 24 is block chain data, 25 is a program execution unit, 251 is a program control module, 252 is a protocol control module, 253 is an optimization processing module, 26 is a protocol generation unit, 27 is an energy optimization unit, 271 is an optimization model module, 272 is an optimization algorithm module, 273 is a scheme establishment module, 3 is an electric system, and 4 is a power supply system.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-2, an embodiment of the present invention provides a technical solution: a block chain-based energy system optimization method in a complex scene specifically comprises the following steps:
s1, energy transfer is carried out between the power supply system and the power utilization system: electric energy in the power supply system 4 is redistributed to each power utilization system 3 through the energy optimization system 2, the energy transfer module 21 is used for transferring the electric energy, the energy analysis module 22 is used for analyzing electric energy data in the transfer process, specifically, electric energy filtering, electric energy fluctuation and electric energy intensity are analyzed, the electric energy filtering, electric energy fluctuation and electric energy intensity data are sent to the block chain data 24 for information storage, and then, the energy management unit 23 is used for optimizing and managing the electric energy data in the transfer process;
s2, allocating the shortage of the power utilization system: the shortage confirmation module 231 and the data analysis module 232 in the energy management unit 23 are used for confirming the energy amount of different power utilization systems 3, and finally the energy allocation module 233 is used for allocating energy to the power utilization systems 3 with different shortage amounts;
s3, design of optimization scheme and program execution: the protocol between the different electric systems 3 and the power supply system 4 is used to intervene inside the program execution unit 25, the protocol content in the protocol generation unit 26 is imported into the program control module 251 through the protocol control module 252, and then the program set in the energy management terminal 1 is run in the energy optimization unit 27 through the optimization processing module 253;
s4, optimizing and scheduling energy: an energy optimization scheduling model is established through an optimization model module 271 according to an intra-day rolling optimization model in an optimization algorithm module 272, objective functions f1, f2 and f3 are established through conventional unit constraint, network safety constraint, AGC unit adjustment margin and unit spare capacity constraint, then single-target optimization is respectively carried out on f1, f2 and f3, and an optimal objective vector f1 is obtained*、f2*、f3*Taking initialization weights A1 and A2, substituting the initialization weights A1 and A2 and the optimization objective function value into the objective function of the power balance constraint, and outputting the probability f1 of the optimization objective function*And judging that f1 is more than f1*If f1 < f1 is judged*If yes, increasing the value of the weight value A1, then continuing to substitute the initialization weights A1 and A2 and the optimization objective function value into the objective function of the power balance constraint, and outputting the probability f1 of the optimization objective function*And judging that f1 is more than f1*If f1 < f1 is judged*If the power balance constraint is not satisfied, outputting an optimal scheduling scheme to realize the optimal scheduling of the energy, wherein the target function of the power balance constraint is
A1＞A2Wherein f is1. * tThe maximum possible value of the objective function 1; f. of2 *And f3 *Is the minimum of objective functions 2 and 3, a1 and a2 are the weight coefficients of two priorities of the objective function, u and v are the weight coefficients of objective function 2 and objective function 3,
and
deviation from the ideal target value for the objective function 1
A negative deviation and a positive deviation of (a),
and
deviation from the ideal target value f for the objective function 22 *Negative and positive deviations of;
and
deviation from the ideal target value f for the objective function 33 *Negative and positive deviations of;
s5, monitoring and managing the energy system: the centralized management, storage and allocation of data in the whole system are realized through a data receiving module, a data acquisition module, a data partitioning module, a data connection module and a data sending module in the information management unit 11 and an information marking module, an information recording module and an information partitioning chain in the information storage unit 12, the setting of a program in the system is completed through the program editing module 13, and meanwhile, the monitoring and alarm processing are performed on abnormal data of energy in the energy scheduling process through the energy monitoring module 14.
Referring to fig. 3-4, an energy system based on a block chain in a complex scene includes an energy management terminal 1, an energy optimization system 2, an electricity utilization system 3 and a power supply system 4, the energy management terminal 1 and the energy optimization system 2 are bidirectionally connected, the energy optimization system 2 is respectively bidirectionally connected with the electricity utilization system 3 and the power supply system 4, the energy management terminal 1 includes an information management unit 11, an information storage unit 12, a program editing module 13 and an energy monitoring module 14, the energy optimization system 2 includes an energy transfer module 21, an energy analysis module 22, an energy management unit 23, block chain data 24, a program execution unit 25, a protocol generation unit 26 and an energy optimization unit 27, the energy transfer module 21 is respectively bidirectionally connected with the energy analysis module 22 and the energy management unit 23, and an output end of the energy analysis module 22 is connected with an input end of the block chain data 24, the energy management unit 23 is respectively connected to the blockchain data 24 and the program execution unit 25 in a bidirectional manner, and the program execution unit 25 is respectively connected to the protocol generation unit 26 and the energy optimization unit 27 in a bidirectional manner.
Referring to fig. 5-8, the energy management unit 23 includes an vacancy confirmation module 231, a data analysis module 232, and an energy allocation module 233, the data analysis module 232 is bidirectionally connected to the blockchain data 24, the vacancy confirmation module 231 is bidirectionally connected to the energy transfer module 21, the data analysis module 232, and the energy allocation module 233, the energy allocation module 233 is bidirectionally connected to the program execution unit 25, the program execution unit 25 includes a program control module 251, a protocol control module 252, and an optimization processing module 253, the protocol control module 252 is bidirectionally connected to the protocol unit 26, the program control module 251 is bidirectionally connected to the energy management unit 23, the protocol control module 252, and the optimization processing module 253 is bidirectionally connected to the energy optimization unit 27, the energy model optimization unit 27 includes an optimization module 271, An optimization algorithm module 272 and a scheme establishing module 273, and an optimization model module 271 is respectively connected with the program executing unit 25, the optimization algorithm module 272 and the scheme establishing module 273 in a bidirectional manner.
Referring to fig. 9-10, the information management unit 11 includes a data receiving module, a data collecting module, a data partitioning module, a data connecting module, and a data sending module, and the information storage unit 12 includes an information marking module, an information recording module, and an information block chain, where the information block chain is composed of a plurality of information blocks.
And those not described in detail in this specification are well within the skill of those in the art.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. A block chain-based energy system optimization method in a complex scene is characterized by comprising the following steps: the method specifically comprises the following steps:
s1, energy transfer is carried out between the power supply system and the power utilization system: electric energy in the power supply system (4) is redistributed to each power utilization system (3) through the energy optimization system (2), the electric energy is transferred through the energy transfer module (21), meanwhile, the electric energy data in the transfer process is analyzed through the energy analysis module (22), filtering, electric energy fluctuation and electric energy intensity of the electric energy are specifically analyzed, the filtering, electric energy fluctuation and electric energy intensity data of the electric energy are sent to the block chain data (24) for information storage, and then the electric energy data in the transfer process are optimally managed through the energy management unit (23);
s2, allocating the shortage of the power utilization system: the shortage confirmation module (231) and the data analysis module (232) in the energy management unit (23) are utilized to confirm the energy amount of different power utilization systems (3), and finally, the energy allocation module (233) is utilized to allocate energy to the power utilization systems (3) with different shortage amounts;
s3, design of optimization scheme and program execution: the method comprises the steps that protocols between different power utilization systems (3) and power supply systems (4) are used for intervening in a program execution unit (25), the protocol content in a protocol generation unit (26) is imported into a program control module (251) through a protocol control module (252), and then a program set in an energy management terminal (1) is operated in an energy optimization unit (27) through an optimization processing module (253);
s4, optimizing and scheduling energy: an energy optimization scheduling model is established through an optimization model module (271) according to an intra-day rolling optimization model in an optimization algorithm module (272), objective functions f1, f2 and f3 are established through conventional unit constraint, network safety constraint, AGC unit adjustment margin and unit spare capacity constraint, then single-target optimization is respectively carried out on f1, f2 and f3, and an optimal objective vector f1 is obtained*、f2*、f3*Taking initialization weights A1 and A2, substituting the initialization weights A1 and A2 and the optimization objective function value into the objective function of the power balance constraint, and outputting the probability f1 of the optimization objective function*And judging that f1 is more than f1*If f1 < f1 is judged*If yes, increasing the value of the weight value A1, then continuing to substitute the initialization weights A1 and A2 and the optimization objective function value into the objective function of the power balance constraint, and outputting the probability f1 of the optimization objective function*And judging that f1 is more than f1*If f1 < f1 is judged*If the energy source is not established, outputting an optimal scheduling scheme to realize the optimal scheduling of the energy source;
s5, monitoring and managing the energy system: the centralized management, storage and allocation of data in the whole system are realized through a data receiving module, a data acquisition module, a data partitioning module, a data connection module and a data sending module in an information management unit (11) and an information marking module, an information recording module and an information partitioning chain in an information storage unit (12), the setting of a program in the system is completed through a program editing module (13), and meanwhile, the monitoring and alarm processing are performed on abnormal data of energy in the energy scheduling process through an energy monitoring module (14).
2. The energy system optimization method based on the block chain in the complex scene according to claim 1, wherein: in the step S4, the objective function of the power balance constraint is
A1＞A2Wherein
The maximum possible value of the objective function 1;
and f3 *Is the minimum of objective functions 2 and 3, a1 and a2 are the weight coefficients of two priorities of the objective function, u and v are the weight coefficients of objective function 2 and objective function 3,
and
deviation from the ideal target value for the objective function 1
A negative deviation and a positive deviation of (a),
and
deviation from the ideal target value for the objective function 2
Negative and positive deviations of;
and
deviation from the ideal target value f for the objective function 33 *Negative and positive deviations.
3. The method for optimizing the energy system based on the block chain in the complex scene according to any one of claims 1-2, wherein: the energy system based on the block chain under the complex scene comprises an energy management terminal (1), an energy optimization system (2), an electricity utilization system (3) and a power supply system (4), wherein the energy management terminal (1) is in bidirectional connection with the energy optimization system (2), the energy optimization system (2) is in bidirectional connection with the electricity utilization system (3) and the power supply system (4) respectively, the energy management terminal (1) comprises an information management unit (11), an information storage unit (12), a program editing module (13) and an energy monitoring module (14), the energy optimization system (2) comprises an energy transfer module (21), an energy analysis module (22), an energy management unit (23), block chain data (24), a program execution unit (25), a protocol generation unit (26) and an energy optimization unit (27), and the energy transfer module (21) is in mutual connection with the energy analysis module (22) respectively, The energy management unit (23) is connected in a bidirectional mode, the output end of the energy analysis module (22) is connected with the input end of the block chain data (24), the energy management unit (23) is connected with the block chain data (24) and the program execution unit (25) in a bidirectional mode, and the program execution unit (25) is connected with the protocol generation unit (26) and the energy optimization unit (27) in a bidirectional mode.
4. The energy system optimization method based on the block chain in the complex scene according to claim 3, wherein: the energy management unit (23) comprises an vacancy confirmation module (231), a data analysis module (232) and an energy allocation module (233), and the data analysis module (232) is in bidirectional connection with the block chain data (24).
5. The energy system optimization method based on the block chain in the complex scene according to claim 4, wherein: the vacancy confirmation module (231) is respectively in bidirectional connection with the energy transfer module (21), the data analysis module (232) and the energy allocation module (233), and the energy allocation module (233) is in bidirectional connection with the program execution unit (25).
6. The energy system optimization method based on the block chain in the complex scene according to claim 3, wherein: the program execution unit (25) comprises a program control module (251), a protocol control module (252) and an optimization processing module (253), and the protocol control module (252) is in bidirectional connection with the protocol unit (26).
7. The energy system optimization method based on the block chain in the complex scene according to claim 6, wherein: the program control module (251) is respectively in bidirectional connection with the energy management unit (23), the protocol control module (252) and the optimization processing module (253), and the optimization processing module (253) is in bidirectional connection with the energy optimization unit (27).
8. The energy system optimization method based on the block chain in the complex scene according to claim 3, wherein: the energy optimization unit (27) comprises an optimization model module (271), an optimization algorithm module (272) and a scheme establishment module (273), and the optimization model module (271) is respectively in bidirectional connection with the program execution unit (25), the optimization algorithm module (272) and the scheme establishment module (273).
9. The energy system optimization method based on the block chain in the complex scene according to claim 3, wherein: the information management unit (11) comprises a data receiving module, a data acquisition module, a data partitioning module, a data connection module and a data sending module.
10. The energy system optimization method based on the block chain in the complex scene according to claim 3, wherein: the information storage unit (12) comprises an information marking module, an information recording module and an information block chain, and the information block chain is composed of a plurality of information blocks.
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