CN114123202B - Dynamic balancing power grid load method - Google Patents

Dynamic balancing power grid load method Download PDF

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CN114123202B
CN114123202B CN202210097536.4A CN202210097536A CN114123202B CN 114123202 B CN114123202 B CN 114123202B CN 202210097536 A CN202210097536 A CN 202210097536A CN 114123202 B CN114123202 B CN 114123202B
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generation unit
coefficient
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徐雪松
唐加乐
闫月
田志平
粟芸
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Hunan University of Technology
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Abstract

The invention discloses a method for dynamically balancing power grid load, which comprises the following steps: constructing an energy source block chain network, wherein node distribution mainly comprises a limited set of power generation unit nodes, a limited set of power utilization unit nodes, a limited set of edge calculation unit nodes and the like; the edge calculation nodes calculate the power utilization value coefficient values of all power utilization unit nodes, the comprehensive index coefficient values of all power generation unit nodes, the decision coefficient values of the whole power grid and the like in real time; and traversing the limited node sets of the power utilization units and the limited node sets of the power generation units by a heuristic algorithm in the intelligent contract. When the power supply is in shortage, a power supply node set which is preferentially obtained and a power supply node set which cannot be obtained are constructed according to the power consumption value coefficient of the power consumption unit node, and a node which does not obtain the power supply can obtain a certain economic compensation, so that the power grid load balance is responded; when the power supply is excessive, a new power generation unit node set is constructed according to the comprehensive index coefficient of the power generation unit nodes, and the redundant electric quantity of a power generator of the node set is stored to reversely feed the power grid when the power grid is loaded.

Description

Dynamic balancing power grid load method
Technical Field
The invention belongs to the technical field of power grid load balancing, and particularly relates to a method for dynamically balancing power grid load.
Background
The block chain is used as a brand-new decentralized infrastructure and distributed computing paradigm, can enable all parties to establish trust, achieves interconnection and intercommunication among data, application and services through technology, can be combined with a completely distributed computing process, can enable computing data to be traceable and not to be falsified, and provides a new solution for data operation and information safety problems of grid connection of distributed energy power generators and power consumers. Edge computing is a comprehensive platform that provides core functions of integrating network, computing, storage, and applications, as measured near a data source. The energy source block chain network integrates heterogeneous data of power generators and power consumers into edge computing equipment to provide effective data support while realizing real-time interconnection of a large number of heterogeneous devices, so that transmission and processing delay is reduced, and safe and rapid operation of the intelligent power grid is maintained. The virtual power plant technology can realize the energy storage of redundant electric quantity of a distributed energy power plant or an individual load, and effectively coordinate the power demand and the power grid load by feeding back the power grid during the power grid load. And compiling corresponding codes according to requirements by utilizing the programmable characteristic of the block chain intelligent contract, and realizing dynamic balance of the power grid load by spontaneous adjustment.
At present, a power grid load regulation plan is to regulate the power grid load by implementing power failure and power restoration in a time period within an area range according to the pressure of the power grid load, but emergency demand power consumers and non-emergency demand power consumers exist in areas with power failure and power restoration. The traditional load adjustment method is simple and easy, and unnecessary economic loss is caused to power consumers. And in order to safely and quickly maintain the load balance of the power grid, a large number of centralized generators and energy storage devices must be deployed, which results in a large amount of capital and operational expenditure, even electricity abandonment. Therefore, a method for dynamically balancing the load of the power grid is needed, a two-way interaction strategy of a power consumer and a power generator is established, selective power supply is carried out on the user when the power supply is in shortage, and the user who does not obtain the power supply can obtain certain economic compensation, so that the load of the power grid is dynamically balanced; and when the power supply is excessive, the redundant electric quantity of the power generator is selectively stored, and the redundant electric quantity of the power generator is used for feeding back the power grid when the power grid is loaded, so that the demand of the power grid load is dynamically balanced.
Disclosure of Invention
The invention aims to overcome the defect of unbalanced load of the existing power grid in the prior art, and provides a method capable of dynamically balancing the load of the power grid, in particular to a method for dynamically balancing the load of the power grid.
The invention provides a method for dynamically balancing power grid load, which comprises the following steps:
s1: constructing an energy source block chain network, wherein the energy source block chain network comprises a limited set of power generation unit nodes, a limited set of power utilization unit nodes, a limited set of edge computing unit nodes and an intelligent contract;
s2: initializing edge calculation unit nodes in the edge calculation unit node finite set, and obtaining a power utilization value coefficient of the power utilization unit nodes, a comprehensive index coefficient of the power generation unit nodes and a decision coefficient of the whole power grid according to information of the power generation unit nodes and the power utilization unit nodes;
s3: an algorithm in the intelligent contract establishes a priority power supply node set and a power supply node set which cannot be obtained according to the power consumption value coefficient of the power consumption unit node, and establishes a new power generation unit node set according to the power generation unit node comprehensive index coefficient;
s4: the algorithm in the intelligent contract is traversed according to the decision coefficient to preferentially obtain the power supply node set and the unavailable power supply node set and a new power generation unit node set,
when the decision coefficient is smaller than 0, power is supplied to the power utilization unit nodes with the power supply node concentration obtained preferentially, and the power utilization unit nodes with the power supply node concentration unavailable are compensated by adopting an algorithm in an intelligent contract;
when the decision coefficient is equal to 0, the power supply load is balanced;
and when the decision coefficient is larger than 0, creating a virtual power plant according to the power generation unit nodes in the new power generation unit node set, wherein the virtual power plant is used for storing the redundant electric quantity generated by each power generation unit node and feeding back the power grid when the power grid is loaded.
Preferably, in S1, the energy blockchain network is a multi-element network including a limited set of power generation unit nodes, a limited set of power consumption unit nodes, a limited set of edge calculation unit nodes, an intelligent contract, a limited set of energy storage device unit nodes, and a limited set of virtual power plant unit nodes.
Preferably, the edge computing unit node is edge equipment, the edge equipment is distributed at the edges of the power utilization unit node and the power generation unit node, and the edge equipment comprises a real-time monitoring data module, a data index computing module and a data cache module.
Preferably, in S2, the calculating the power consumption value coefficient of the power consumption unit node and the comprehensive index coefficient of the power generation unit node includes: and calculating to obtain an index value, wherein the index value comprises a decision coefficient of the whole power grid, an electricity consumption value coefficient of the node of the electricity consumption unit and a power supply stability coefficient of the node of the power generation unit, storing the node of the electricity consumption unit into the limited set of the node of the electricity consumption unit, and storing the node of the power generation unit into the limited set of the node of the power generation unit.
Preferably, the calculation formula of the decision coefficient of the whole power grid is as follows:
Figure 897923DEST_PATH_IMAGE001
wherein,
Figure 686888DEST_PATH_IMAGE002
in order to decide the coefficients of the decision,
Figure 116732DEST_PATH_IMAGE003
representing the real-time power of the ith power generation unit node,
Figure 358357DEST_PATH_IMAGE004
the real-time power of the ith electricity utilization unit node is represented, t represents a time period, n represents the number of the electricity generation unit nodes, and k represents the number of the electricity utilization unit nodes.
Preferably, the power generation unit nodes comprise power generation unit node real-time power, power supply stability coefficients of the power generation unit nodes and power generation unit node comprehensive index coefficients; a power generation unit node, noted as:
Figure 164639DEST_PATH_IMAGE005
(ii) a The real-time power of the power generation unit is recorded as:
Figure 73690DEST_PATH_IMAGE006
(ii) a The power supply stability coefficient of the power generation unit node is recorded as:
Figure 674435DEST_PATH_IMAGE007
the calculation formula is as follows:
Figure 668936DEST_PATH_IMAGE008
wherein,
Figure 13330DEST_PATH_IMAGE009
Figure 776886DEST_PATH_IMAGE010
the coefficient of the power generation efficiency is expressed,
Figure 548533DEST_PATH_IMAGE011
represents the average generated power per day of the power generation unit nodes, t represents the time period,
Figure 30330DEST_PATH_IMAGE012
representing the generated power of each hour in a day of the power generation unit node; the node comprehensive index coefficient of the power generation unit is recorded as
Figure 178415DEST_PATH_IMAGE013
The calculation formula is as follows:
Figure 796478DEST_PATH_IMAGE014
wherein,
Figure 270185DEST_PATH_IMAGE015
representing the excess capacity of the power generation unit node during the time period t,
Figure 973698DEST_PATH_IMAGE016
a coefficient representing the satisfaction degree of the power supply of the user,
Figure 659895DEST_PATH_IMAGE007
represents the power supply stability coefficient of the node of the power generation unit,
Figure 398044DEST_PATH_IMAGE003
representing the real-time power of the ith power generation unit node, n representing the number of power generation unit nodes,
Figure 511493DEST_PATH_IMAGE017
。
preferably, the power utilization unit nodes comprise real-time power of the power utilization unit nodes, power utilization value coefficients of the power utilization unit nodes and measurement; a power cell node, noted:
Figure 702303DEST_PATH_IMAGE018
(ii) a The real-time power of the power utilization unit node is recorded as:
Figure 34933DEST_PATH_IMAGE019
(ii) a And the electricity value coefficient of the node of the electricity utilization unit is recorded as:
Figure 893168DEST_PATH_IMAGE020
the calculation formula is as follows:
Figure 443098DEST_PATH_IMAGE021
wherein,
Figure 121204DEST_PATH_IMAGE004
representing the real-time power of the ith power-using unit node,
Figure 488817DEST_PATH_IMAGE022
represents the power consumption time period weight coefficient, and
Figure 935979DEST_PATH_IMAGE023
，
Figure 656811DEST_PATH_IMAGE024
represents the total power usage in the time period t,
Figure 556634DEST_PATH_IMAGE025
represents the power consumption weight coefficient, and
Figure 653903DEST_PATH_IMAGE026
，
Figure 955571DEST_PATH_IMAGE027
k represents the number of the power utilization unit nodes; o, a and l represent power utilization time periods; w, e, y represent directions of electricity going;
metering, as follows:
Figure 847304DEST_PATH_IMAGE028
the calculation formula is as follows:
Figure 500002DEST_PATH_IMAGE029
wherein,
Figure 869803DEST_PATH_IMAGE030
Figure 291557DEST_PATH_IMAGE031
the power utilization unit node response instructive power utilization plan occupation ratio coefficient index is shown,
Figure 354191DEST_PATH_IMAGE032
indicating the number of responses of the node of the consumer,
Figure 963027DEST_PATH_IMAGE024
represents the total power usage in the time period t,
Figure 402099DEST_PATH_IMAGE022
represents the power consumption time period weight coefficient,
Figure 678359DEST_PATH_IMAGE025
representing the power usage towards the weight coefficient,
Figure 911894DEST_PATH_IMAGE033
and the calculation formula of the electricity value coefficient of the electricity utilization unit nodes is represented, m represents the number of the electricity utilization unit nodes, and E represents the expected value of the response times of the electricity utilization unit nodes.
Preferably, in S3, the power generation unit node overall index coefficient is calculatedAverage, noted as:
Figure 539185DEST_PATH_IMAGE034
(ii) a To the node comprehensive index coefficient of the power generation unit
Figure 250789DEST_PATH_IMAGE013
Sorting and selecting the nodes of the power generation units
Figure 647135DEST_PATH_IMAGE013
Value greater than
Figure 51572DEST_PATH_IMAGE034
The node of the power generation unit builds a new power generation node set, and the new power generation node set is marked as:
Figure 900579DEST_PATH_IMAGE035
and is and
Figure 415874DEST_PATH_IMAGE036
(ii) a Wherein, calculate the average value of power consumption unit value coefficient of power consumption unit node, record as:
Figure 666727DEST_PATH_IMAGE037
power consumption value coefficient of power consumption unit node
Figure 976485DEST_PATH_IMAGE020
Sorting and selecting the nodes of the power utilization units
Figure 312789DEST_PATH_IMAGE020
Value greater than
Figure 631775DEST_PATH_IMAGE037
The power utilization unit nodes are constructed to preferentially obtain a power supply node set; in selected power unit nodes
Figure 737134DEST_PATH_IMAGE020
Value less than
Figure 483373DEST_PATH_IMAGE037
The power utilization unit node is constructed and cannot obtain a power supply node set, and the power supply node set is preferentially obtained and recorded as:
Figure 41393DEST_PATH_IMAGE038
{ s … i }, {1 … k }; set of power supply nodes not available, note
Figure 898491DEST_PATH_IMAGE039
{ v … m }. epsilon {1 … k }; k represents the number of the consumer nodes.
Preferably, in S4, when the decision coefficient is smaller than 0, the process of compensating the power consumption unit node that cannot obtain the power supply node set by using the algorithm in the intelligent contract is as follows:
selecting power consumption unit nodes which preferentially obtain the centralized power consumption of the power supply nodes and go to the industrial power consumption and the commercial power consumption, and adding the price of the power consumption unit nodes according to the metering value and the intelligent contract to generate total income which is recorded as:
Figure 858357DEST_PATH_IMAGE040
(ii) a Selecting power utilization unit nodes which cannot obtain centralized power utilization of the power supply nodes and are used for residential power utilization, and compensating according to the metering value of the power utilization unit nodes used for residential power utilization; the compensation value is calculated by the formula:
Figure 775497DEST_PATH_IMAGE041
wherein,Hthe value of the compensation is represented by,
Figure 86393DEST_PATH_IMAGE042
represents the metering of electricity usage to a node of a power unit that is residential electricity usage,
Figure 747181DEST_PATH_IMAGE043
the measurement of power consumption to the power consumption unit nodes of industrial power and commercial power is represented, and r represents the number of power consumption unit nodes of power supply node concentrated power consumption to the industrial power and the commercial power is preferentially obtained.
Preferably, in S4, when the decision coefficient is greater than 0, a virtual power plant based on a federation chain is dynamically created according to the power generation unit nodes in the new power generation unit node set and according to the virtual power plant unit nodes in the virtual power plant unit node limited set, where the virtual power plant is used to store the excess electric quantity generated by each power generation unit node, and feed back to the power grid when the power grid is loaded, so as to effectively coordinate the power demand and the power grid load.
Has the advantages that: aiming at the problem of unbalanced load of the existing power grid, monitoring data and index calculation processing results of edge calculation equipment on a power consumer side and a power generator side are acquired in real time by using a heuristic algorithm in a block chain intelligent contract based on the advantages and the characteristics of block chain and edge calculation, a selective strategy power utilization plan is dynamically sent to power consumption unit nodes, selective power supply is carried out on users when power supply is in shortage, and users who do not obtain power supply can obtain certain economic compensation, so that the demand of the power grid load is dynamically balanced. When the power supply is excessive, selectively and dynamically uniting the power generation unit nodes with excessive capacity to construct a virtual power plant, wherein the virtual power plant is used for storing the excessive power generated by each power generation unit node and feeding back a power grid when the power grid is loaded; therefore, the load balancing requirement is quickly, safely and efficiently adjusted and responded, and the power grid load balancing tends to be dynamic.
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In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic flow chart of a method for dynamically balancing a power grid load in the implementation of the present invention.
Fig. 2 is a network structure diagram of an energy blockchain of a method for dynamically balancing a power grid load according to an embodiment of the present invention.
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.
Aiming at the problem of unbalanced load of the existing power grid, an energy source block chain network is constructed in the embodiment, monitoring data and index calculation processing results of edge computing equipment on a power consumer side and a power generator side are obtained in real time by using a heuristic algorithm in an intelligent contract, power utilization unit nodes are dynamically selected, and strategy power utilization planning arrangement is carried out on the power utilization unit nodes; when the power supply is in shortage, the users are selectively supplied with power, and the users who do not obtain the power supply can obtain certain economic compensation, so that the demands of the power grid load are dynamically balanced. When the power supply is excessive, comprehensively selecting the power generation unit nodes with excessive capacity, dynamically constructing a virtual power plant based on a plurality of power generation nodes of the alliance chain, wherein the virtual power plant is used for storing the excessive power generated by each power generation unit node and feeding the power grid in a feedback manner when the power grid is loaded; thereby adjusting the response load balancing requirement; the load balance of the power grid tends to be dynamic.
As shown in fig. 1, the present embodiment provides a method for dynamically balancing a power grid load, where the method includes the steps of:
s1: constructing an energy block chain network (EBN) which comprises a limited set of power generation unit nodes, a limited set of power utilization unit nodes, a limited set of edge computing unit nodes and an intelligent contract;
as shown in fig. 2, the energy block chain network is a multi-element network, and is marked as:
Figure 561553DEST_PATH_IMAGE044
a finite set of power generation unit nodes is included, and is recorded as:
Figure 915174DEST_PATH_IMAGE045
(ii) a The limited set of power utilization unit nodes is recorded as:
Figure 447787DEST_PATH_IMAGE046
(ii) a A finite set of edge compute unit nodes, denoted as:
Figure 646687DEST_PATH_IMAGE047
(ii) a An intelligent contract, noted as: IC; the energy storage equipment unit node finite set is recorded as:
Figure 581145DEST_PATH_IMAGE048
(ii) a A finite set of virtual power plant unit nodes, denoted
Figure 105667DEST_PATH_IMAGE049
；
Generating unit nodes in a limited set of generating unit nodes: mainly distributed energy power generators such as photovoltaic solar energy, wind energy, hydropower, thermal power and the like;
the power utilization unit nodes in the limited concentration of the power utilization unit nodes are as follows: mainly industrial power consumers, commercial power consumers, residential power consumers and other power consumers;
the edge computing unit nodes in the edge computing unit node finite set are edge devices, the edge devices are distributed at the edges of the power utilization unit nodes and the power generation unit nodes, and each edge device comprises a real-time monitoring data module, a data index computing module and a data cache module;
a finite set of energy storage device unit nodes: mainly comprises super capacitor, superconductive energy storage device;
intelligent contract IC: and embedding a heuristic algorithm DE-load to realize dynamic data and strategy interaction among nodes. Setting a virtual coin named Token in the intelligent contract, and measuring the virtual coin on the power consumption unit node according to the metering value calculated by the edge equipment;
virtual power plant unit nodes in a limited set of virtual power plant unit nodes: when residual electric quantity occurs to a plurality of power generation nodes and the power generation stability degree is good, a virtual power plant formed by the plurality of power generation nodes based on the alliance chain is dynamically established in real time, so that the residual electric quantity generated by each power generation unit node is stored, and the power grid is fed back when the power grid is loaded.
S2: initializing edge calculation unit nodes in the edge calculation unit node limited set, determining that edge equipment is normal and data transmission is normal, and obtaining a power utilization value coefficient of the power utilization unit nodes, a comprehensive index coefficient of the power generation unit nodes and a decision coefficient of the whole power grid according to information of the power generation unit nodes and the power utilization unit nodes;
the process of obtaining the power consumption value coefficient of the power consumption unit node and the comprehensive index coefficient of the power generation unit node through calculation comprises the following steps: obtaining various index values calculated by the edge equipment, wherein the index values comprise a decision coefficient of the whole power grid, an electricity consumption value coefficient of an electricity consumption unit node and a power supply stability coefficient of a power generation unit node, storing the electricity consumption unit node into a limited set of the electricity consumption unit node, and storing the power generation unit node into a limited set of the power generation unit node;
the total power consumption of the power consumption unit nodes and the total generated energy of the power generation unit nodes are calculated, and a calculation formula of a decision coefficient of the whole power grid is as follows:
Figure 859997DEST_PATH_IMAGE001
wherein,
Figure 128167DEST_PATH_IMAGE002
in order to decide the coefficients of the decision,
Figure 917131DEST_PATH_IMAGE003
representing the real-time power of the ith power generation unit node,
Figure 81396DEST_PATH_IMAGE004
representing the real-time power of the ith electricity utilization unit node, t representing a time period, n representing the number of the electricity generation unit nodes, and k representing the number of the electricity utilization unit nodes;
the power generation unit nodes comprise power generation unit node real-time power, power supply stability coefficients of the power generation unit nodes and power generation unit node comprehensive index coefficients; a power generation unit node, noted as:
Figure 588601DEST_PATH_IMAGE050
(ii) a The real-time power of the power generation unit is recorded as:
Figure 394883DEST_PATH_IMAGE006
(ii) a Calculating the stability degree of the power generation node, calculating a power supply stability coefficient of the power generation unit node, and recording as:
Figure 38354DEST_PATH_IMAGE007
the calculation formula is as follows:
Figure 904679DEST_PATH_IMAGE008
wherein,
Figure 633601DEST_PATH_IMAGE009
Figure 243573DEST_PATH_IMAGE010
the coefficient of the power generation efficiency is expressed,
Figure 7130DEST_PATH_IMAGE011
represents the average generated power per day of the power generation unit nodes, t represents the time period,
Figure 513198DEST_PATH_IMAGE012
representing the generated power of each hour in a day of the power generation unit node; comprehensively calculating the nodes of the power generation unit with the electricity abandonment, calculating the comprehensive index coefficient of the nodes of the power generation unit, and recording the comprehensive index coefficient as
Figure 994995DEST_PATH_IMAGE013
The calculation formula is as follows:
Figure 143079DEST_PATH_IMAGE051
wherein,
Figure 761142DEST_PATH_IMAGE015
representing the remaining capacity of the power generation unit node for the time period t,
Figure 703691DEST_PATH_IMAGE016
a coefficient representing the satisfaction degree of the power supply of the user,
Figure 407204DEST_PATH_IMAGE007
represents the power supply stability coefficient of the node of the power generation unit,
Figure 358980DEST_PATH_IMAGE003
representing the real-time power of the ith power generation unit node, n representing the number of power generation unit nodes,
Figure 831550DEST_PATH_IMAGE052
；
the power utilization unit nodes comprise real-time power of the power utilization unit nodes, power utilization value coefficients of the power utilization unit nodes and measurement; a power cell node, noted:
Figure 944999DEST_PATH_IMAGE053
(ii) a The real-time power of the power utilization unit node is recorded as:
Figure 135809DEST_PATH_IMAGE019
(ii) a And calculating the electricity value coefficient of the electricity utilization unit nodes according to the weight in real time by using the information of the plurality of electricity utilization unit nodes, and recording the value coefficient as:
Figure 625696DEST_PATH_IMAGE020
the calculation formula is as follows:
Figure 218352DEST_PATH_IMAGE054
wherein,
Figure 502702DEST_PATH_IMAGE004
representing the real-time power of the ith power-using unit node,
Figure 915229DEST_PATH_IMAGE022
represents the power consumption time period weight coefficient, and
Figure 208807DEST_PATH_IMAGE023
，
Figure 655969DEST_PATH_IMAGE024
represents the total power usage in the time period t,
Figure 376800DEST_PATH_IMAGE025
represents the power consumption weight coefficient, and
Figure 276623DEST_PATH_IMAGE026
，
Figure 108313DEST_PATH_IMAGE027
k represents the number of the power utilization unit nodes; o, a and l represent power utilization time periods; w, e, y represent directions of electricity going;
table 1 value coefficient weights;
Figure 409981DEST_PATH_IMAGE055
the information of the power utilization unit nodes can be known from the table 1;
setting a virtual coin named Token in the intelligent contract for metering, wherein the metering of the virtual coin on the power utilization unit node is represented as:
Figure 36135DEST_PATH_IMAGE028
the calculation formula is as follows:
Figure 423254DEST_PATH_IMAGE056
wherein,
Figure 58635DEST_PATH_IMAGE057
Figure 480389DEST_PATH_IMAGE031
the power utilization unit node response instructive power utilization plan occupation ratio coefficient index is shown,
Figure 277443DEST_PATH_IMAGE032
indicating the number of responses of the node of the consumer,
Figure 151858DEST_PATH_IMAGE024
represents the total power usage in the time period t,
Figure 325351DEST_PATH_IMAGE022
represents the power consumption time period weight coefficient,
Figure 601611DEST_PATH_IMAGE025
representing the power usage towards the weight coefficient,
Figure 569567DEST_PATH_IMAGE058
and the calculation formula of the electricity value coefficient of the electricity utilization unit nodes is represented, m represents the number of the electricity utilization unit nodes, and E represents the expected value of the response times of the electricity utilization unit nodes.
S3: on the basis of a heuristic algorithm in an intelligent contract, a power supply node set which is preferentially obtained and a power supply node set which cannot be obtained are constructed according to a power consumption value coefficient, and a new power generation unit node set is constructed according to a power generation unit node comprehensive index coefficient;
in particular, the method comprises the following steps of,
calculating the average value of the node comprehensive index coefficients of the power generation units, and recording as:
Figure 931279DEST_PATH_IMAGE034
(ii) a To the node comprehensive index coefficient of the power generation unit
Figure 908462DEST_PATH_IMAGE013
Carry out sequencingSelecting the nodes of the power generation unit
Figure 304808DEST_PATH_IMAGE013
Value greater than
Figure 443665DEST_PATH_IMAGE034
The node of the power generation unit builds a new power generation node set, and the new power generation node set is marked as:
Figure 27093DEST_PATH_IMAGE035
and is and
Figure 807968DEST_PATH_IMAGE059
(ii) a Wherein, calculate the average value of power consumption unit value coefficient of power consumption unit node, record as:
Figure 58820DEST_PATH_IMAGE037
power consumption value coefficient of power consumption unit node
Figure 634158DEST_PATH_IMAGE020
Sorting and selecting the nodes of the power utilization units
Figure 439303DEST_PATH_IMAGE020
Value greater than
Figure 758289DEST_PATH_IMAGE037
The power utilization unit nodes are constructed to preferentially obtain a power supply node set; in selected power unit nodes
Figure 863648DEST_PATH_IMAGE020
Value less than
Figure 609887DEST_PATH_IMAGE037
The power utilization unit node is constructed and cannot obtain a power supply node set, and the power supply node set is preferentially obtained and recorded as:
Figure 167908DEST_PATH_IMAGE038
{ s … i }, {1 … k }; set of power supply nodes not available, note
Figure 25005DEST_PATH_IMAGE039
{ v … m }. epsilon {1 … k }; k represents the number of the consumer nodes.
S4: according to the decision coefficient, the power supply node set is obtained and the power supply node set cannot be obtained through traversal priority, and a new power generation unit node set,
when the decision coefficient is less than 0, the real-time power supply shortage is represented, power is supplied to the power utilization unit nodes which preferentially acquire the power supply node concentration, and the power utilization unit nodes which cannot acquire the power supply node concentration are compensated by adopting an algorithm in an intelligent contract; thereby dynamically balancing the load of the power grid;
the compensation process comprises the following steps: selecting power consumption unit nodes which preferentially obtain the centralized power consumption of the power supply nodes and go to the industrial power consumption and the commercial power consumption, and adding the price of the power consumption unit nodes according to the metering value and the intelligent contract to generate total income which is recorded as:
Figure 250450DEST_PATH_IMAGE040
(ii) a Selecting power utilization unit nodes which cannot obtain centralized power utilization of the power supply nodes and are used for residential power utilization, and compensating according to the metering value of the power utilization unit nodes used for residential power utilization; the compensation value is calculated by the formula:
Figure 167591DEST_PATH_IMAGE060
wherein,Hthe value of the compensation is represented by,
Figure 947328DEST_PATH_IMAGE042
represents the metering of electricity usage to a node of a power unit that is residential electricity usage,
Figure 608116DEST_PATH_IMAGE043
the metering of power utilization nodes to the power utilization unit nodes of industrial power utilization and commercial power utilization is represented, and r represents the number of the power utilization unit nodes which are preferentially obtained to be centralized by the power supply nodes and are used for industrial power utilization and commercial power utilization;
when the decision coefficient is equal to 0, representing real-time power supply load balance;
when the decision coefficient is larger than 0, the real-time power supply is excessive, the power generation unit nodes in the new power generation unit node set generate consensus on the intelligent contract, and a virtual power plant is created according to the power generation unit nodes in the new power generation unit node set and is used for feeding redundant electric quantity generated by each power generation unit node back to the main power network; thereby balancing the load of the power grid;
specifically, a virtual power plant based on an alliance chain is dynamically established according to the power generation unit nodes in the new power generation unit node set and the virtual power plant unit nodes in the virtual power plant unit node limited set, the virtual power plant is used for dispatching redundant electric quantity generated by each power generation unit node to the energy storage equipment unit nodes for storing energy, and a power grid is fed back when the power grid is loaded, so that the power demand and the power grid load are effectively coordinated.
The method for dynamically balancing the power grid load provided by the embodiment has the following beneficial effects:
aiming at the problem of unbalanced load of the existing power grid, monitoring data and index calculation processing results of edge calculation equipment on a power consumer side and a power generator side are obtained in real time by using a heuristic algorithm in a block chain intelligent contract based on the advantages and the characteristics of block chain and edge calculation, and a selective strategy power utilization plan is dynamically sent to power utilization unit nodes. When the power supply is in shortage, the users are selectively supplied with power, and the users who do not obtain the power supply can obtain certain economic compensation, so that the demands of the power grid load are dynamically balanced. When the power supply is excessive, selectively and dynamically uniting the power generation unit nodes with excessive capacity to construct a virtual power plant, wherein the virtual power plant is used for storing the excessive power generated by each power generation unit node and feeding back a power grid when the power grid is loaded; therefore, the load balancing requirement is quickly, safely and efficiently adjusted and responded, and the power grid load balancing tends to be dynamic.
The present invention is not limited to the above preferred embodiments, and any modification, equivalent replacement or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (9)

1. A method for dynamically balancing the load of a power grid is characterized by comprising the following steps:
s1: constructing an energy source block chain network, wherein the energy source block chain network comprises a limited set of power generation unit nodes, a limited set of power utilization unit nodes, a limited set of edge computing unit nodes and an intelligent contract;
s2: initializing edge calculation unit nodes in the edge calculation unit node finite set, and obtaining a power utilization value coefficient of the power utilization unit nodes, a comprehensive index coefficient of the power generation unit nodes and a decision coefficient of the whole power grid according to information of the power generation unit nodes and the power utilization unit nodes;
the edge computing unit nodes are edge devices, the edge devices are distributed at the edges of the power utilization unit nodes and the power generation unit nodes, and the edge devices comprise a real-time monitoring data module, a data index computing module and a data cache module;
s3: preferentially acquiring a power supply node set and a power supply node set which cannot be acquired are constructed according to the power consumption value coefficient of the power consumption unit node, and a new power generation unit node set is constructed according to the comprehensive index coefficient of the power generation unit node;
s4: according to the decision coefficient, the power supply node set is obtained and the power supply node set cannot be obtained through traversal priority, and a new power generation unit node set,
when the decision coefficient is smaller than 0, power is supplied to the power utilization unit nodes with the power supply node concentration obtained preferentially, and the power utilization unit nodes with the power supply node concentration unavailable are compensated by adopting an algorithm in an intelligent contract;
when the decision coefficient is equal to 0, the power supply load is balanced;
and when the decision coefficient is larger than 0, creating a virtual power plant according to the power generation unit nodes in the new power generation unit node set, wherein the virtual power plant is used for storing the redundant electric quantity generated by each power generation unit node and feeding back the power grid when the power grid is loaded.
2. The method according to claim 1, wherein in S1, the energy blockchain network is a multi-element network including a limited set of power generation unit nodes, a limited set of power consumption unit nodes, a limited set of edge calculation unit nodes, smart contracts, a limited set of energy storage device unit nodes, and a limited set of virtual power plant unit nodes.
3. The method for dynamically balancing grid load according to claim 2, wherein in S2, in the process of calculating the power consumption value coefficient of the power consumption unit node and the comprehensive index coefficient of the power generation unit node, the method comprises: and calculating to obtain an index value, wherein the index value comprises a decision coefficient of the whole power grid, a power utilization value coefficient of the power utilization unit nodes and a power supply stability coefficient of the power generation unit nodes, the power utilization unit nodes are stored in the limited set of the power utilization unit nodes, and the power generation unit nodes are stored in the limited set of the power generation unit nodes.
4. The method for dynamically balancing power grid load according to claim 3, wherein the decision coefficient of the whole power grid is calculated by the following formula:
Figure DEST_PATH_IMAGE001
wherein,
Figure DEST_PATH_IMAGE002
in order to decide the coefficients of the decision,
Figure DEST_PATH_IMAGE003
representing the real-time power of the ith power generation unit node,
Figure DEST_PATH_IMAGE004
the real-time power of the ith electricity utilization unit node is represented, t represents a time period, n represents the number of the electricity generation unit nodes, and k represents the number of the electricity utilization unit nodes.
5. The method according to claim 4, wherein the power generation unit node comprisesThe real-time power of the power generation unit node, the power supply stability coefficient of the power generation unit node and the comprehensive index coefficient of the power generation unit node; the power generation unit node is marked as:
Figure DEST_PATH_IMAGE005
(ii) a The real-time power of the power generation unit node is recorded as:
Figure DEST_PATH_IMAGE006
(ii) a The power supply stability coefficient of the power generation unit node is recorded as:
Figure DEST_PATH_IMAGE007
the calculation formula is as follows:
Figure DEST_PATH_IMAGE008
wherein,
Figure DEST_PATH_IMAGE009
Figure DEST_PATH_IMAGE010
the coefficient of the power generation efficiency is expressed,
Figure DEST_PATH_IMAGE011
represents the average generated power per day of the power generation unit nodes, t represents the time period,
Figure DEST_PATH_IMAGE012
representing the generated power of each hour in a day of the power generation unit node; the node comprehensive index coefficient of the power generation unit is recorded as
Figure DEST_PATH_IMAGE013
The calculation formula is as follows:
Figure DEST_PATH_IMAGE014
wherein,
Figure DEST_PATH_IMAGE015
representing the remaining capacity of the power generation unit node for the time period t,
Figure DEST_PATH_IMAGE016
a coefficient representing the satisfaction degree of the power supply of the user,
Figure 337221DEST_PATH_IMAGE007
represents the power supply stability coefficient of the node of the power generation unit,
Figure 895241DEST_PATH_IMAGE003
representing the real-time power of the ith power generation unit node, n representing the number of power generation unit nodes,
Figure DEST_PATH_IMAGE017
。
6. the method according to claim 5, wherein the power consumption unit nodes comprise real-time power of the power consumption unit nodes, a power consumption value coefficient of the power consumption unit nodes, and metering; the power utilization unit node is marked as:
Figure DEST_PATH_IMAGE018
(ii) a The real-time power of the power utilization unit node is recorded as:
Figure DEST_PATH_IMAGE019
(ii) a The power consumption value coefficient of the power consumption unit node is recorded as:
Figure DEST_PATH_IMAGE020
the calculation formula is as follows:
Figure DEST_PATH_IMAGE021
wherein,
Figure 814655DEST_PATH_IMAGE004
representing the real-time power of the ith power-using unit node,
Figure DEST_PATH_IMAGE022
represents the power consumption time period weight coefficient, and
Figure DEST_PATH_IMAGE023
，
Figure DEST_PATH_IMAGE024
represents the total power usage in the time period t,
Figure DEST_PATH_IMAGE025
represents the power consumption weight coefficient, and
Figure DEST_PATH_IMAGE026
，
Figure DEST_PATH_IMAGE027
k represents the number of the power utilization unit nodes; o, a and l represent power utilization time periods; w, e, y represent directions of electricity going;
the metering, noted:
Figure DEST_PATH_IMAGE028
the calculation formula is as follows:
Figure DEST_PATH_IMAGE029
wherein,
Figure DEST_PATH_IMAGE030
Figure DEST_PATH_IMAGE031
the power utilization unit node response instructive power utilization plan occupation ratio coefficient index is shown,
Figure DEST_PATH_IMAGE032
indicating the number of responses of the node of the consumer,
Figure 164734DEST_PATH_IMAGE024
represents the total power usage in the time period t,
Figure 816295DEST_PATH_IMAGE022
represents the power consumption time period weight coefficient,
Figure 127191DEST_PATH_IMAGE025
representing the power usage towards the weight coefficient,
Figure DEST_PATH_IMAGE033
and the calculation formula of the electricity value coefficient of the electricity utilization unit nodes is represented, m represents the number of the electricity utilization unit nodes, and E represents the expected value of the response times of the electricity utilization unit nodes.
7. The method for dynamically balancing grid load according to claim 6, wherein in S3, an average value of the comprehensive index coefficients of the power generation unit nodes is calculated and recorded as:
Figure DEST_PATH_IMAGE034
(ii) a To the node comprehensive index coefficient of the power generation unit
Figure 53559DEST_PATH_IMAGE013
Sorting and selecting the nodes of the power generation units
Figure 867931DEST_PATH_IMAGE013
Value greater than
Figure 221552DEST_PATH_IMAGE034
The node of the power generation unit builds a new power generation node set, and the new power generation node set is marked as:
Figure DEST_PATH_IMAGE035
and is and
Figure DEST_PATH_IMAGE036
(ii) a Wherein, calculate the average value of power consumption unit value coefficient of power consumption unit node, record as:
Figure DEST_PATH_IMAGE037
power consumption value coefficient of power consumption unit node
Figure 285323DEST_PATH_IMAGE020
Sorting and selecting the nodes of the power utilization units
Figure 484223DEST_PATH_IMAGE020
Value greater than
Figure 153102DEST_PATH_IMAGE037
The power utilization unit nodes are constructed to preferentially obtain a power supply node set; in selected power unit nodes
Figure 677624DEST_PATH_IMAGE020
Value less than
Figure 697532DEST_PATH_IMAGE037
The power utilization unit node construction cannot obtain a power supply node set, and the preferentially obtained power supply node set is recorded as:
Figure DEST_PATH_IMAGE038
{ s … i }, {1 … k }; the set of unavailable power supply nodes is recorded as
Figure DEST_PATH_IMAGE039
{ v … m }. epsilon {1 … k }; k represents the number of the consumer nodes.
8. The method for dynamically balancing grid loads according to claim 7, wherein in S4, when the decision coefficient is less than 0, the process of compensating the power consumption unit nodes that cannot obtain the power supply node set by using the algorithm in the smart contract comprises:
selecting power consumption unit nodes which preferentially obtain the centralized power consumption of the power supply nodes and go to the industrial power consumption and the commercial power consumption, and adding the price of the power consumption unit nodes according to the metering value and the intelligent contract to generate total income which is recorded as:
Figure DEST_PATH_IMAGE040
(ii) a Selecting power utilization unit nodes which cannot obtain centralized power utilization of the power supply nodes and are used for residential power utilization, and compensating according to the metering value of the power utilization unit nodes used for residential power utilization; the compensation value is calculated by the formula:
Figure DEST_PATH_IMAGE041
wherein,Hthe value of the compensation is represented by,
Figure DEST_PATH_IMAGE042
represents the metering of electricity usage to a node of a power unit that is residential electricity usage,
Figure DEST_PATH_IMAGE043
the measurement of power consumption to the power consumption unit nodes of industrial power and commercial power is represented, and r represents the number of power consumption unit nodes of power supply node concentrated power consumption to the industrial power and the commercial power is preferentially obtained.
9. The method of claim 8, wherein in step S4, when the decision coefficient is greater than 0, a virtual power plant based on the alliance chain is dynamically created according to the power generation unit nodes in the new power generation unit node set and according to the virtual power plant unit nodes in the virtual power plant unit node limited set, and the virtual power plant is used for storing excess power generated by each power generation unit node and feeding back to the power grid during the power grid load, so as to effectively coordinate the power demand and the power grid load.
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