CN116341829A - Green power information block processing method and system - Google Patents
Green power information block processing method and system Download PDFInfo
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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
- H02J3/04—Circuit arrangements for ac mains or ac distribution networks for connecting networks of the same frequency but supplied from different sources
- H02J3/06—Controlling transfer of power between connected networks; Controlling sharing of load between connected networks
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06312—Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06315—Needs-based resource requirements planning or analysis
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
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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
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
- H02J3/466—Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
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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
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
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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
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The invention belongs to the field of green power, and discloses a green power information block processing method and a system for acquiring power generation data and power consumption data; setting node constraint conditions, and carrying out rule matching on power generation data and power consumption data to obtain power consumption source proportion; dividing energy sources into two types of green energy sources and conventional energy sources, and calculating green power proportion from power utilization data of a power utilization party according to the energy source types; and acquiring the path number of a specific type corresponding to the power generation data from the green power path pool according to the power generation data, setting the green power resource as an implementation transfer process based on the section type according to the power utilization data, the power utilization energy proportion and the path number, and further realizing token and traceability processing of the green power information block. The invention designs a current tracking analysis model algorithm, realizes the green current quantity tracking of a single power plant based on a power grid topological structure, and realizes the full-flow tracking of the green electricity self-use and transfer of different types and areas.
Description
Technical Field
The invention belongs to the field of green power, and particularly relates to a green power information block processing method, a system, a medium, equipment and a terminal.
Background
At present, renewable energy sources represented by solar energy, wind energy and biomass energy have the advantages of sufficient supply, wide distribution, environmental friendliness and the like. However, the fluctuation and uncertainty of renewable energy sources cause unbalance of electric power and electric quantity, and challenges are brought to the supply and demand balance of an electric power system. These renewable energy sources are affected by weather, climate, season, etc., which cause unstable, intermittent, high cost and inefficient secondary energy production problems in terms of supply, as compared to stable and controllable conventional energy sources. Because most wind power and photovoltaic resource enrichment areas are far away from a load center, the areas need to be accessed from the tail end of a regional power grid through long-distance power transmission, and the sending-out network is often weak; random fluctuation of renewable energy output can cause the problems of blocking of power quality and tide around grid-connected lines and grid-connected points; the renewable energy machine set is connected with the main network through the power electronic converter equipment so that the fault tolerance capability is poorer. The uncertainty of the power supply side and the load side is greatly increased by the combination of the distributed type and the centralized type, the operation scene is diversified, and the output size of the conventional unit is adjusted along with the fluctuation of renewable energy sources; on one hand, the requirements on the frequency modulation and peak shaving capacity of thermal power units such as large-scale coal-electricity cogeneration units are more strict; on the other hand, power resources need to be configured in coordination within the whole system through the grid.
In order to ensure the real-time balance of the supply and demand of the system, the peak regulation and frequency modulation flexible resource requirements of the grid-connected area are increased sharply. Because renewable energy is locally and intensively accessed, the problem caused by insufficient flexible resources is mainly reflected in wind and light abandoning in local areas. If the renewable energy source is required to meet the requirement of most electric quantity supply, the electric installed capacity of the renewable energy source will be far overloaded and peak, and if the intermittent renewable energy source such as wind power, photovoltaic and the like has larger output, a large amount of excess electric power will occur in the system; if the output is low, a large amount of power shortage will occur in the system, and a large amount of spare capacity needs to be maintained. Under this fluctuation, the transmission load of the power network increases, but the utilization decreases.
Through the above analysis, the problems and defects existing in the prior art are as follows:
(1) The existing power transmission network is weak, and random fluctuation of renewable energy output can cause the problems of electric energy quality and tide blockage around grid-connected lines and grid-connected points; meanwhile, the renewable energy unit is connected with the main network through the power electronic converter equipment, so that the fault tolerance capability is poorer.
(2) The uncertainty of the power supply side and the load side is greatly increased by the combination of the distributed type and the centralized type, and the requirements on the frequency modulation and peak regulation capacity of thermal power units such as large-scale coal-electricity generation units, cogeneration units and the like are stricter; meanwhile, the power resources need to be configured in a coordinated manner in the whole system through the power grid.
(3) Because renewable energy is locally and intensively accessed, the problem caused by insufficient flexible resources is mainly reflected in wind and light abandoning in local areas; meanwhile, the transmission load of the power network is increased under the fluctuation of larger or smaller renewable energy output, but the utilization rate is reduced.
Disclosure of Invention
Aiming at the problems existing in the prior art, the invention provides a green power information block processing method, a system, a medium, equipment and a terminal.
The invention is realized in that a green power information block processing method comprises the following steps: firstly, collecting power generation data and power consumption data; setting node constraint conditions, and carrying out rule matching on power generation data and power consumption data to obtain power consumption energy proportion, wherein energy is divided into two major categories of green energy and conventional energy; secondly, calculating green power proportion according to energy types from power consumption data of a power consumption party; and obtaining the specific type of path number corresponding to the power generation data from the green power path pool according to the power generation data, setting the green power resource as an implementation transfer process based on the section type according to the power utilization data, the power utilization source proportion and the path number, and realizing the token and traceability of the green power.
Further, the green power nodes comprise power generation side nodes, power utilization side nodes, energy storage side nodes and load nodes; the label content of the power generation party node comprises a power generation party identifier, an energy type, time and power generation capacity, wherein the power generation party identifier comprises wind power, water power, photovoltaic and a thermal power plant, and the energy type comprises renewable energy and non-renewable energy;
the label content of the power consumption party node comprises a power consumption party identifier, time, power consumption and energy proportion; the label content of the energy storage party node comprises an energy storage party identifier, time and charging electricity quantity/discharging electricity quantity, wherein the energy storage party identifier comprises energy storage 1, energy storage 2 and energy storage n; the tag content of the load node comprises load identification, time and energy proportion, and the load identification comprises a business center, rail transit and an industrial park.
Further, when there are n green nodes, i e {1,2,.. N }, each node contains at least 1 path, the ratio of energy used by each power consumer output by the same node is the same.
Further, when the energy storage party participates in power supply, the power generation proportion is recalculated according to the original power generation proportion and the energy storage proportion of each energy source, and the power supply of the energy source of the energy storage node is not participated in the calculation of the power generation proportion of the next target node;
when the power generation party is used as a main body to carry out next path forwarding calculation on the energy power supply proportion, one-time electricity corresponds to one section, the number of sections of the power generation party is calculated according to the electricity consumption data and the electricity consumption energy proportion, and the number of sections of the power generation party is transferred to the corresponding power utilization party;
when the electricity consumers are the main, all the electricity consumers have the same proportion of power sources as the proportion of power generation.
Further, dividing the energy sources, and calculating the green power proportion according to the energy source type from the power consumption data of the power consumption party comprises:
acquiring original electricity utilization data of an electricity utilization party power network, constructing an original electricity utilization network, and calculating power flow of the power network through a Newton-Lapherson method according to the original electricity utilization data of the electricity utilization party power network;
dividing the energy types, and calculating an objective function value of an original power utilization network by taking the minimum weighted value of the total reactive power optimization and the total active power loss of the green energy and the conventional energy as an objective function;
setting original parameters of a self-adaptive weight particle swarm algorithm, initializing access positions and access proportions of each type of energy, and constructing a reconstruction power utilization network after optimizing a compensation point;
and recalculating the reconstructed power utilization network after optimizing the compensation point by the adaptive weight particle swarm algorithm by using a Newton-Laporton method, and determining the green power proportion.
Further, the energy is classified, the weighted value of the total reactive power optimization and the total active network loss of the green energy and the conventional energy is minimum as an objective function, and the calculation of the objective function value of the original power utilization network comprises the following steps:
calculating state variables, reactive power output and active network loss of a network corresponding to the green energy and the conventional energy in the existing load mode, and respectively checking whether the green energy and the conventional energy meet constraint conditions of power and node voltage; if the constraint is met, calculating an adaptation value according to an objective function of topology adjustment of the power distribution network;
wherein, the objective function expression is:
wherein F is an objective function value; i, j=1, 2, …, n; lambda is a weighting coefficient, R i 、P i 、Q i 、U i The resistance, active power, reactive power and node voltage of the ith branch are respectively.
Another object of the present invention is to provide a green power information block processing system implementing the green power information block processing method, the green power information block processing system comprising:
the green power energy manager is used for distributing, converting and storing energy by using the green power energy management model; the green electric power energy management model realizes the information interaction of various types of accessed energy and the extraction and distribution of green electric power information through the port information acquisition and transmission device, and performs electric power flow control and energy monitoring through an internal electric power network path;
the green power information block processing system is provided with N nodes and m branches;
the green power information block processing system also comprises an application layer, a network layer and an energy layer;
the application layer is used for carrying out big data analysis, cloud computing mobile interconnection and man-machine interaction of the green power information block;
the network layer comprises a wireless network and a wired network, and is used for carrying out data transmission by utilizing the wireless network and the wired network and carrying out data acquisition by utilizing the intelligent controller, various sensors and the metering instrument; wherein the wireless network comprises 2G, 3G, 4G, 5G and NB-loT, and the wired network comprises IP4 and IPV6;
the energy layer is used for carrying out power generation, power transmission and distribution, energy storage and power consumption management of green power;
the power generation comprises traditional power, new energy and other energy sources; the power transmission and distribution comprises high-voltage transmission, flexible direct current and low-voltage distribution; the energy storage comprises a lead-acid storage battery, a lithium ion battery and a novel battery; the electricity utilization comprises a new energy vehicle, a household energy storage wall and an intelligent household.
It is a further object of the invention to provide a computer device comprising a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to perform the steps of the green power information block processing method.
It is a further object of the present invention to provide a computer readable storage medium storing a computer program which, when executed by a processor, causes the processor to perform the steps of the green power information block processing method.
Another object of the present invention is to provide an information data processing terminal for implementing the green power information block processing system.
In combination with the technical scheme and the technical problems to be solved, the technical scheme to be protected has the following advantages and positive effects:
first, aiming at the technical problems in the prior art and the difficulty in solving the problems, the technical problems solved by the technical proposal of the invention are analyzed in detail and deeply by tightly combining the technical proposal to be protected, the results and data in the research and development process, and the like, and some technical effects brought after the problems are solved have creative technical effects. The specific description is as follows:
according to the green power information block processing method provided by the invention, various node constraints are fully considered, and the power generation data of each power generation party and the power consumption data of the power consumption party are matched to obtain the energy proportion corresponding to the power consumption data of each power consumption party, so that the power consumption of the energy corresponding to the target power generation party in each power consumption party can be determined; capacity samples meeting section constraint can be accurately obtained; and meanwhile, the power generation data and the power consumption data are matched according to the power balance principle, and the power generation proportion of each energy source is used as the proportion of each energy source used by the power utilization party.
Secondly, the technical scheme is regarded as a whole or from the perspective of products, and the technical scheme to be protected has the following technical effects and advantages:
according to the green power information block processing method, through identifying and tracking the energy flow of each power plant entering a multi-layer network, an electric quantity tracking analysis model algorithm taking each power plant as a node is developed, green energy flow tracking is carried out on the power supply full life cycle of the power plant according to a network topology structure, and full consumption and green energy transfer tracking are carried out on the power plants in different types and areas.
Thirdly, the expected benefits and commercial value after the technical scheme of the invention is converted are as follows:
the invention realizes the dynamic balance of green power input and output and the safe, high-quality and economic operation of the power grid; under the condition that a power transmission corridor is not additionally arranged, the power transmission capacity can be effectively controlled, and the investment for construction of a power transmission channel is reduced; the energy demand regulation and control are carried out again, so that the safety and stability of the system operation are improved; the tide distribution of the system is optimized, the loss in the electric energy transmission process is reduced, and the method has certain practical value and commercial value.
Drawings
FIG. 1 is a flowchart of a green power information block processing method according to an embodiment of the present invention;
fig. 2 is a schematic view of a green node structure according to an embodiment of the present invention;
fig. 3 is a schematic diagram of a green power information block processing system according to an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the following examples in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
As shown in fig. 1, the green power information block processing method provided by the embodiment of the invention includes the following steps:
s101, collecting power generation data and power consumption data, and setting green power node constraint conditions; carrying out regular matching on the power generation data and the power utilization data to obtain the power utilization energy proportion;
s102, dividing energy sources into two types of green energy sources and conventional energy sources, and calculating green power proportion from power utilization data of a power utilization party according to the energy source types;
s103, acquiring the number of paths of a specific type corresponding to the power generation data from the green power path pool according to the power generation data;
and S104, setting the green power resource as an implementation transfer process based on the section type according to the power consumption data, the power consumption source proportion and the path number, and realizing green power tokenization and traceability processing.
As shown in fig. 2, the green power node provided by the embodiment of the invention comprises nodes such as a power generation side node, a power utilization side node, an energy storage side node, a load node and the like; the label content of the power generation party node comprises: power generation party identification (wind, hydraulic, photovoltaic, thermal power plant, etc.), energy type (renewable and non-renewable energy sources), time, power generation, etc.; the label content of the electricity consumer node comprises: electric party identification (such as Beijing, chengdu, xishan, gansu and the like), time, electric quantity, energy proportion and the like; the label content of the energy storage party node comprises: energy storage party identification (energy storage 1, energy storage 2, &..energy storage n), time, charge/discharge power, etc.; the tag content of the load node includes: load identification (business center, rail traffic, industrial park, etc.), time and energy ratio, etc.
Assume that there are N green nodes, i e {1,2,.. N }, each node has at least 1 path, and the ratio of energy sources used by each power consumer output by the same node is the same. For example, the green electricity consumption ratio of Beijing is 50%, and the green electricity consumption ratio of the capital is also 50%. For specific power generation data from which power utilization data of a certain section come, for example, the power generation ratio of wind power, hydraulic power and thermal power is 3:2:1, and the green power utilization ratio number can be calculated according to the energy ratio.
When the energy storage party provided by the embodiment of the invention participates in power supply, the power generation proportion is recalculated according to the original power generation proportion and the energy storage proportion, and the energy storage party does not participate in the power supply of the energy storage node energy source and directly enters the next target node to perform power generation proportion calculation.
When the power generation party is used as a main body to perform next path forwarding calculation on the energy power supply proportion, one-time electricity corresponds to one section, the number of sections of the power generation party is calculated according to the electricity consumption data and the electricity consumption energy proportion, and the number of sections of the power generation party is transferred to the corresponding power utilization party; the power utilization party can be the main body, and all power utilization parties can have power sources with the same proportion as the power generation proportion.
For example, the power generation comes from a wind power plant, one degree of electricity corresponds to one section, the Beijing electricity is used for 120 degrees, and the ratio of wind power, water power and fire force is 3:2:1. the renewable energy source wind power generation 60 degrees for Beijing can be calculated, and the number of sections corresponds to 60. Correspondingly, other electricity consumers can calculate the energy generating capacity in the same way. And the sum of the wind power section numbers of Beijing and other areas can be traced to the green electricity generation proportion of the power generation node. And if the next green electricity use transfer is carried out, carrying out the operation on each power generation party, and realizing the tracing of the green electricity data.
Because the energy stored by the energy storage party comes from each power plant, the energy type is complex, and therefore, when the energy storage party participates in power supply, the power generation proportion needs to be recalculated. For example, the power generation ratio of wind power, water power and thermal power of the original power plant is 3:2:1, totally emit 600 degrees of electricity, and the energy storage proportion is 1:1:1, the total participation power supply is 300 degrees, the wind power generation capacity is 600 x 3/6+300 x 1/3=400 degrees, the hydraulic power generation capacity is 300 degrees, the thermal power is 200 degrees, and the power generation proportion of each energy source is 4:3:2.
the method for dividing the energy sources provided by the embodiment of the invention comprises the following steps of calculating the green power proportion from the power consumption data of the power consumption party according to the energy source types:
acquiring original electricity utilization data of an electricity utilization party power network, constructing an original electricity utilization network, and calculating power flow of the power network through a Newton-Lapherson method according to the original electricity utilization data of the electricity utilization party power network;
dividing the energy types, and calculating an objective function value of an original power utilization network by taking the minimum weighted value of the total reactive power optimization and the total active power loss of the green energy and the conventional energy as an objective function;
setting original parameters of a self-adaptive weight particle swarm algorithm, initializing access positions and access proportions of each type of energy, and constructing a reconstruction power utilization network after optimizing a compensation point;
and recalculating the reconstructed power utilization network after optimizing the compensation point by the adaptive weight particle swarm algorithm by using a Newton-Laporton method, and determining the green power proportion.
The method for classifying the energy types provided by the embodiment of the invention takes the minimum weighted value of the total reactive power optimization and the total active network loss of the green energy and the conventional energy as an objective function, and calculates the objective function value of the original power utilization network comprises the following steps:
calculating state variables, reactive power output and active network loss of a network corresponding to the green energy and the conventional energy in the existing load mode, and respectively checking whether the green energy and the conventional energy meet constraint conditions of power and node voltage; if the constraint is met, calculating an adaptation value according to an objective function of topology adjustment of the power distribution network;
wherein, the objective function expression is:
wherein F is an objective function value; i, j=1, 2, …, n; lambda is a weighting coefficient, R i 、P i 、Q i 、U i The resistance, active power, reactive power and node voltage of the ith branch are respectively.
The green power information block processing system provided by the embodiment of the invention comprises:
the green power energy manager is used for distributing, converting and storing energy by using the green power energy management model; the green electric power energy management model realizes the interaction of various types of energy information accessed through the port information acquisition and transmission device and the extraction and distribution of green electric power information, and performs electric power flow control and energy monitoring through an internal electric power network path.
The green power information block processing system provided by the embodiment of the invention is provided with N nodes and m branches.
As shown in fig. 3, the green power information block processing system provided by the embodiment of the invention further includes an application layer, a network layer and an energy layer.
The application layer is used for carrying out big data analysis, cloud computing mobile interconnection and man-machine interaction of the green power information block;
the network layer comprises a wireless network and a wired network, and is used for carrying out data transmission by utilizing the wireless network and the wired network and carrying out data acquisition by utilizing the intelligent controller, various sensors and the metering instrument; wherein the wireless network comprises 2G, 3G, 4G, 5G and NB-loT, and the wired network comprises IP4/IPV6;
the energy layer is used for carrying out power generation, power transmission and distribution, energy storage and power consumption management of green power; the power generation comprises traditional power, new energy and other energy sources; the power transmission and distribution comprises high-voltage transmission, flexible direct current and low-voltage distribution; the energy storage comprises a lead-acid storage battery, a lithium ion battery and a novel battery; the electricity utilization comprises a new energy vehicle, a household energy storage wall and an intelligent household.
The embodiment of the invention utilizes links such as power generation, power transmission, transformation, power distribution, power consumption and the like to form an electric energy output and consumption system, and the electric energy output and consumption system has the functions of converting primary energy in nature into electric energy through power generation equipment and supplying the electric energy to each user through power transmission, power transformation and power distribution. In order to accomplish this function, the power system also has corresponding information and control systems in each link and different levels, and measures, conditions, controls, maintains, communicates and schedules the production process of the electric energy, so as to ensure that users obtain safe, economical and high-quality electric energy.
According to the embodiment of the invention, various node constraints are fully considered, and the power generation data of each power generation party and the power utilization data of the power utilization party are matched to obtain the energy proportion corresponding to the power utilization data of each power utilization party, so that the power consumption of the energy corresponding to the target power generation party in each power utilization party can be determined; the capacity sample meeting the section constraint can be accurately obtained. And matching the power generation data and the power consumption data according to the power balance principle, and taking the power generation proportion of each energy source as the proportion of each energy source used by the power consumption party.
In order to prove the inventive and technical value of the technical solution of the present invention, this section is an application example on specific products or related technologies of the claim technical solution.
An application embodiment of the present invention provides a computer apparatus including a memory and a processor, the memory storing a computer program that, when executed by the processor, causes the processor to execute the steps of a green power information block processing method.
An application embodiment of the present invention provides a computer-readable storage medium storing a computer program which, when executed by a processor, causes the processor to execute the steps of a green power information block processing method.
The embodiment of the invention provides an information data processing terminal which is used for realizing a green power information block processing system.
The application embodiment of the invention provides an energy router model, and based on complex network theory modeling, the problem of optimizing configuration of an energy router physical layer is subjected to target transformation, and finally, the design and optimization of an energy router physical layer power network are realized. For various grid-connected devices connected to the energy router, information among all the parts is opaque, and the information is executed according to respective set targets, such as photovoltaic and wind power, and the information is executed according to the maximum generated power. The energy router realizes the interaction of the respective part and the energy router information through the port information acquisition and transmission device, and port energy control and energy routing are carried out through the internal electric energy network. The green energy management system helps to consume renewable energy sources, and the principle of reducing unbalance of space electric power and electric quantity is that the comprehensive energy system can provide various generalized energy storage effects on site to cope with fluctuation of the renewable energy sources.
It should be noted that the embodiments of the present invention can be realized in hardware, software, or a combination of software and hardware. The hardware portion may be implemented using dedicated logic; the software portions may be stored in a memory and executed by a suitable instruction execution system, such as a microprocessor or special purpose design hardware. Those of ordinary skill in the art will appreciate that the apparatus and methods described above may be implemented using computer executable instructions and/or embodied in processor control code, such as provided on a carrier medium such as a magnetic disk, CD or DVD-ROM, a programmable memory such as read only memory (firmware), or a data carrier such as an optical or electronic signal carrier. The device of the present invention and its modules may be implemented by hardware circuitry, such as very large scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, etc., or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc., as well as software executed by various types of processors, or by a combination of the above hardware circuitry and software, such as firmware.
The foregoing is merely illustrative of specific embodiments of the present invention, and the scope of the invention is not limited thereto, but any modifications, equivalents, improvements and alternatives falling within the spirit and principles of the present invention will be apparent to those skilled in the art within the scope of the present invention.
Claims (10)
1. A green power information block processing method, characterized in that the green power information block processing method comprises: collecting power generation data and power consumption data; setting a green power node constraint condition, and carrying out regular matching on power generation data and power utilization data to obtain a power utilization energy proportion; dividing energy sources into two types of green energy sources and conventional energy sources, and calculating green power proportion from power utilization data of a power utilization party according to the energy source types; and acquiring the path number of a specific type corresponding to the power generation data from the green power path pool according to the power generation data, setting the green power resource as an implementation transfer process based on the section type according to the power utilization data, the power utilization energy proportion and the path number, and further realizing token and traceability processing of the green power information block.
2. The green power information block processing method according to claim 1, wherein the green power nodes include a power generation side node, a power utilization side node, an energy storage side node, and a load node; the label content of the power generation party node comprises a power generation party identifier, an energy type, time and power generation capacity, wherein the power generation party identifier comprises wind power, water power, photovoltaic and a thermal power plant, and the energy type comprises renewable energy and non-renewable energy;
the label content of the power consumption party node comprises a power consumption party identifier, time, power consumption and energy proportion; the label content of the energy storage party node comprises an energy storage party identifier, time and charging electricity quantity/discharging electricity quantity, wherein the energy storage party identifier comprises energy storage 1, energy storage 2 and energy storage n; the tag content of the load node comprises load identification, time and energy proportion, and the load identification comprises a business center, rail transit and an industrial park.
3. The green power information block processing method according to claim 1, wherein when there are n green nodes, i e 1,2,..n, each node contains at least 1 path, the ratio of energy used by each power consumer output by the same node is the same.
4. The green power information block processing method according to claim 1, wherein when the energy storage party participates in power supply, the power generation proportion is recalculated according to the original power generation proportion and the energy storage proportion of each energy source, and the power supply of the energy storage node energy source is not participated in the power generation proportion calculation of the next target node directly;
when the power generation party is used as a main body to carry out next path forwarding calculation on the energy power supply proportion, one-time electricity corresponds to one section, the number of sections of the power generation party is calculated according to the electricity consumption data and the electricity consumption energy proportion, and the number of sections of the power generation party is transferred to the corresponding power utilization party;
when the electricity consumers are the main, all the electricity consumers have the same proportion of power sources as the proportion of power generation.
5. The green power information block processing method of claim 1, wherein dividing the energy source, calculating the green power ratio from the power consumption data of the power consumer by the energy source type comprises:
acquiring original electricity utilization data of an electricity utilization party power network, constructing an original electricity utilization network, and calculating power flow of the power network through a Newton-Lapherson method according to the original electricity utilization data of the electricity utilization party power network;
dividing the energy types, and calculating an objective function value of an original power utilization network by taking the minimum weighted value of the total reactive power optimization and the total active power loss of the green energy and the conventional energy as an objective function;
setting original parameters of a self-adaptive weight particle swarm algorithm, initializing access positions and access proportions of each type of energy, and constructing a reconstruction power utilization network after optimizing a compensation point;
and recalculating the reconstructed power utilization network after optimizing the compensation point by the adaptive weight particle swarm algorithm by using a Newton-Laporton method, and determining the green power proportion.
6. The green power information block processing method of claim 5, wherein the classifying the energy sources with respect to the minimum weighted value of the total reactive power optimization and the total active power loss of the green energy source and the conventional energy source as an objective function, and calculating the objective function value of the original power consumption network comprises:
calculating state variables, reactive power output and active network loss of a network corresponding to the green energy and the conventional energy in the existing load mode, and respectively checking whether the green energy and the conventional energy meet constraint conditions of power and node voltage; if the constraint is met, calculating an adaptation value according to an objective function of topology adjustment of the power distribution network;
wherein, the objective function expression is:
wherein F is an objective function value; i, j=1, 2, …, n; lambda is a weighting coefficient, R i 、P i 、Q i 、U i The resistance, active power, reactive power and node voltage of the ith branch are respectively.
7. A green power tile processing system for implementing the green power tile processing method of any one of claims 1-6, the green power tile processing system comprising:
the green power energy manager is used for distributing, converting and storing energy by using the green power energy management model; the green electric power energy management model realizes the information interaction of various types of accessed energy and the extraction and distribution of green electric power information through the port information acquisition and transmission device, and performs electric power flow control and energy monitoring through an internal electric power network path;
the green power information block processing system is provided with N nodes and m branches;
the green power information block processing system also comprises an application layer, a network layer and an energy layer;
the application layer is used for carrying out big data analysis, cloud computing mobile interconnection and man-machine interaction of the green power information block;
the network layer comprises a wireless network and a wired network, and is used for carrying out data transmission by utilizing the wireless network and the wired network and carrying out data acquisition by utilizing the intelligent controller, various sensors and the metering instrument; wherein the wireless network comprises 2G, 3G, 4G, 5G and NB-loT, and the wired network comprises IP4/IPV6;
the energy layer is used for carrying out power generation, power transmission and distribution, energy storage and power consumption management of green power;
the power generation comprises traditional power, new energy and other energy sources; the power transmission and distribution comprises high-voltage transmission, flexible direct current and low-voltage distribution; the energy storage comprises a lead-acid storage battery, a lithium ion battery and a novel battery; the electricity utilization comprises a new energy vehicle, a household energy storage wall and an intelligent household.
8. A computer device comprising a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to perform the steps of the green power information block processing method as claimed in any one of claims 1 to 6.
9. A computer readable storage medium storing a computer program which, when executed by a processor, causes the processor to perform the steps of the green power information block processing method according to any one of claims 1 to 6.
10. An information data processing terminal for implementing the green power information block processing system according to claim 7.
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| CN116885774B (en) * | 2023-07-06 | 2024-03-22 | 中国能源建设集团江苏省电力设计院有限公司 | Green power tracing method for high-proportion renewable energy supply park |
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