CN115456626A - Multi-microgrid energy trading strategy and trading platform based on edge calculation - Google Patents
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Abstract
The application discloses many microgrid energy trading strategy and transaction platform based on edge calculation includes following steps: s1, modeling the cost of the microgrid equipment, constructing a cost function, and transmitting the cost function and microgrid basic information to an edge node; s2, the edge node performs data processing based on the basic information to obtain processing information, and an initial transaction strategy is formulated based on the processing information; s3, the transaction cloud platform acquires edge node information, judges the edge node information to obtain a judgment result, and issues the edge node to the cloud platform based on the judgment result; and S4, completing the transaction based on the edge node uploading information. According to the technical scheme, a multi-microgrid main body transaction platform is constructed by fusing a cloud edge end architecture of edge computing, and meanwhile, a default punishment mechanism and a node consensus mechanism are set, so that fairness and effectiveness of microgrid transactions are promoted.
Description
Technical Field
The application belongs to the technical field of edge computing, and particularly relates to a multi-microgrid energy trading strategy and a trading platform based on edge computing.
Background
The micro-grid (MG) technology can effectively solve the problem of large-scale distributed power grid connection, reduces impact on power grid operation, and gradually becomes one of the future energy key technologies, however, the traditional independent micro-grid has limited regulation capacity, and cannot further absorb renewable energy. The multi-microgrid technology can realize energy complementary utilization among the microgrids, and has remarkable advantages in the aspects of improving the consumption rate of renewable energy, reducing the operation cost of a system, reducing power interaction to a main network, adding the standby capacity of the system and the like. Due to the effects of photovoltaic devices, energy storage equipment and flexible loads in the microgrid, the microgrid has source-load duality and can participate in energy trading in the power market.
However, in the multi-subject transaction, the information between the micro-grids is transparent, and unsafe conditions such as information leakage and the like are easy to occur in the transaction process, so that the safety of the micro-grids is threatened. And when a plurality of micro-grids are transacted simultaneously, the calculation pressure is increased rapidly, and great requirements are put forward on the resources of the platform.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a multi-microgrid energy trading strategy and a trading platform based on edge computing.
In order to achieve the above purpose, the present application provides the following solutions:
a multi-microgrid energy trading strategy based on edge computing comprises the following steps:
s1, modeling the cost of the microgrid equipment, constructing a cost function, and transmitting the cost function and microgrid basic information to an edge node;
s2, the edge node performs data processing based on the basic information to obtain processing information, and an initial transaction strategy is formulated based on the processing information;
s3, the transaction cloud platform acquires edge node information, judges the edge node information to obtain a judgment result, and issues the edge node to the cloud platform based on the judgment result;
and S4, completing the transaction based on the cost function and the information uploaded by the edge node.
Preferably, the cost function includes a power generation device cost function and an energy storage device cost function;
the microgrid basic information comprises: historical weather information, historical load values, and energy output values.
Preferably, the power plant cost function includes:
T m,new (t)＝(aP m,pv (t)+βP m,wind (t)+b)Δt
in the formula, m represents a microgrid, alpha and beta represent unit power generation cost of photovoltaic power generation and wind power generation, b represents a cost coefficient, delta t represents scheduling duration, and P represents pv 、P wind Respectively representing the photovoltaic power output and the wind power output within the scheduling time length;
the energy storage device cost function includes:
in the formula, alpha s Represents the unit charge-discharge cost of the energy storage device,
the power of the energy storage equipment during charging and discharging is respectively represented, eta represents the charging and discharging efficiency, and delta t represents the scheduling time length.
Preferably, the processing information includes a new energy output predicted value and a load predicted value.
Preferably, the similarity between the two weathers is evaluated by adopting the Euclidean distance, and the new energy output predicted value and the load predicted value are obtained by clustering the temperature, humidity and wind degree data of historical weather data.
Preferably, the judgment result includes: no transaction failure record, good transaction, default and low reliability;
when the nodes without transaction failure records and with good transactions participate in the transactions, the cloud transaction platform directly publishes node information;
when the nodes with default conditions and low credibility participate in the transaction, a queuing operation is executed, the nodes occupy a rear position during the energy transaction, and when the node transaction without default records in the existing cloud transaction platform is completed and only the nodes with the same transaction requirements remain, the node information with default conditions and low credibility is published at the cloud platform to participate in the energy transaction.
Preferably, the method of completing the transaction comprises: the cloud platform acquires initial transaction information of all nodes participating in energy transaction, calculates and analyzes the initial transaction information, constructs an electricity purchasing micro-grid objective function and an electricity selling micro-grid objective function, and allocates and uses energy and specifies an electricity price strategy based on the electricity purchasing micro-grid objective function, the electricity selling micro-grid objective function and the cost function to complete transaction.
The application also provides a many microgrid energy trading platform based on edge calculation, include: the system comprises a basic data layer, an intelligent decision layer, a transaction monitoring layer and a user layer;
the basic data layer is connected with the intelligent decision layer and used for storing basic data;
the intelligent decision layer is connected with the transaction monitoring layer and is used for credible confirmation of the microgrid;
the transaction monitoring layer is connected with the user layer and used for monitoring the microgrid transaction process;
and the user layer is used for updating the microgrid state.
The beneficial effect of this application does:
the application discloses a multi-microgrid energy trading strategy and trading platform based on edge calculation, wherein in the energy trading process of a multi-microgrid, the privacy of the microgrid is protected by uploading partial information of the microgrid; a transaction platform architecture of a cloud edge end is constructed, and the transaction efficiency is improved by combining edge calculation; in addition, in the process of multi-party main transaction, in order to avoid malicious destructive behaviors and microgrid transaction failure caused by the malicious destructive behaviors, a default punishment mechanism and a node consensus strategy are set at the cloud platform, and the safety and the accuracy of microgrid transaction are improved.
Drawings
In order to more clearly illustrate the technical solution of the present application, the drawings needed to be used in the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for a person skilled in the art to obtain other drawings without any inventive exercise.
FIG. 1 is a schematic diagram of a transaction scenario of the present application;
FIG. 2 is a schematic diagram of the transaction strategy steps of the present application;
FIG. 3 is a schematic diagram illustrating a transaction process according to an embodiment of the present disclosure;
fig. 4 is a schematic diagram of a transaction platform architecture according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be described clearly and completely with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only some embodiments of the present application, and not all 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 application.
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, the present application is described in further detail with reference to the accompanying drawings and the detailed description.
The transaction scene diagram of the application is shown in fig. 1, and the end represents various devices of the microgrid, such as new energy output devices, energy storage devices, some load devices and the like, in the platform; the edges are the layers for executing edge calculation, and comprise a plurality of edge nodes, each micro-grid is distributed with one edge node for processing and calculating the information of the micro-grid, the edge nodes have a safety control function and an analysis function, the calculation and analysis of the information of the micro-grid are realized under the action of the two functions, and the user data is registered at the platform; the cloud is a cloud transaction platform and is also a core platform for realizing multi-microgrid energy transaction, necessary information of a microgrid participating in energy transaction is possessed at the platform, in order to ensure the security of the microgrid information, the information is uploaded in an asymmetric encryption mode during uploading, the cloud platform correspondingly adjusts the electricity purchasing quantity and the selling price by taking the profit maximization of each transaction main body as a target, the microgrid is promoted to achieve transaction, the cloud platform protects and monitors the transaction, the cloud platform stops monitoring the transaction only after the transaction is successfully completed, and meanwhile, in order to protect the credibility and fairness of the energy transaction, a user needs to obey a default punishment mechanism and a node consensus mechanism during the transaction.
Example one
As shown in fig. 2 and fig. 3, a schematic diagram and a specific flowchart of the multi-microgrid energy trading strategy based on edge computing according to the present application include:
s1, modeling the cost of the microgrid equipment, constructing a cost function, and transmitting the cost function and microgrid basic information to edge nodes;
various devices exist in the microgrid, including photovoltaic power generation devices, wind power generation devices, energy storage devices and the like; each type of equipment generates corresponding cost when the microgrid runs, so that the cost of each type of equipment is firstly modeled, a cost function is constructed and uploaded to a microgrid node, the modeled microgrid is set as a microgrid m, and the cost function of the equipment is as follows:
cost function of new energy power generation equipment:
T m,new (t)＝(aP m,pv (t)+βP m,wind (t)+b)Δt (1)
wherein α and β represent the unit power generation cost of photovoltaic power generation and wind power generation, b represents the cost coefficient, Δ t represents the scheduling duration, which is one hour in this embodiment, P pv 、P wind And respectively representing the photovoltaic power output and the wind power output within the scheduling time, wherein the response speed of the photovoltaic element and the wind power element is higher due to the scheduling time being one hour, and the scheduling time can be regarded as a linear function of time, so that the climbing constraint of a machine is not considered, and only the upper and lower limit constraints of the output power are considered. The constraint conditions are as follows:
P m,pv,min ≤P m,pv ≤P m,pv,max (2)
P m,wind,min ≤P m,wind ≤P m,wind,max (3)
energy storage device cost function:
wherein alpha is s Represents the unit charge-discharge cost of the energy storage device,
the power of the energy storage equipment during charging and discharging is respectively represented, eta represents the charging and discharging efficiency, and delta t represents the scheduling time length.
The constraints that the energy storage device needs to satisfy are as follows:
in the formula, E s Indicating the charging and discharging state of the energy storage device, E s 1 indicates discharge of the energy storage device, E s When the current is 0, the energy storage device is charged, the formula (5) and the formula (6) are power constraints during charging and discharging, and the formula (7) is a charging and discharging power balance constraint of the energy storage device.
The microgrid basic information comprises historical weather data, historical load values, new energy output values and the like.
S2, the edge nodes perform data processing based on the basic information to obtain processing information, and an initial transaction strategy is formulated based on the processing information;
the edge node has a safety control function and an analysis function, and the micro-grid data is processed through the two functions; the safety control function can confirm the safety of the microgrid equipment, the analysis function realizes the prediction of the new energy output value and the load value of the microgrid, and an initial transaction strategy is formulated according to the prediction values.
(1) Safety control function
The safety control is the first step of operation executed by the edge node, the safety control function is realized by sensing and safety confirmation of the microgrid terminal equipment, the equipment safety of the microgrid is the first step of realizing credible energy transaction, and the credibility of data can be ensured only by confirming the safety of the equipment.
The safety control function is realized by the following method:
a TCM security chip is implanted into the equipment, a subsystem with storage protection and execution protection is defined, a trust root is established for a computing platform, the system is subjected to one-step credibility measurement from the start of a BIOS, a final credibility measurement report is generated according to a measurement result, and the edge node realizes security control on the microgrid terminal equipment according to the credibility measurement report.
(2) Analysis function
The edge node acquires information from historical data of the microgrid to obtain a new energy output predicted value and a load predicted value, so that the state of the microgrid is determined, and whether the microgrid needs to participate in energy trading or not is judged.
(21) New energy output prediction value and load prediction value
Because the characteristics of the same type of weather data are similar, the new energy output value and the load value are also similar, the similarity is judged by evaluating the Euclidean distance between two weathers, and the new energy output predicted value and the load predicted value are obtained by clustering the data of the temperature, the humidity, the wind degree and the like of historical weather data. The method comprises the following specific steps:
a. selecting Q points in historical weather data set of the microgrid as cores of initial clustering, and recording the points as S q (q＝1、2、…、Q)。
b. Calculating Euclidean distance between the rest points and the initial clustering core, dividing the Euclidean distance into the nearest clustering centers according to the distance, and calculating the distance according to a formula of phi q ＝∑|x i -S q | 2 . In the formula, x i Representing the remaining points.
c. And calculating Euclidean distances of all the points to obtain the sum of squares of distances of the population, and when the sum of squares of the distances of the population is minimum, taking the mean value of the sample points divided into the same region as a new clustering center.
d. Judging whether the new clustering center and the sum of the squares of the overall distances are changed, and if so, turning to the step b; and if no change exists, finishing clustering.
And judging similar days through the steps, and obtaining a new energy output value and a load value of the microgrid under the weather conditions similar to the weather data of the microgrid through the weather data of the microgrid. Meanwhile, information such as major events and the like is uploaded to the nodes, and the edge nodes carry out corresponding load predicted value adjustment.
(22) Microgrid state determination
The new energy output prediction value and the load prediction value of the microgrid are determined through the step (21), so that the state of the microgrid can be judged, and the microgrid has three states in energy transaction: self-sufficient; the energy is insufficient and needs to be purchased; surplus energy is available for sale. The self-sufficient microgrid does not participate in energy transaction, the microgrid in the latter two states can automatically select whether to participate in the microgrid energy transaction, if not, the microgrid can directly perform the energy transaction with the power distribution network, but the microgrid directly transacts with the power distribution network possibly has the defects of high transmission cost or high transaction price due to overlong energy transmission channels.
The micro-grid participating in the energy transaction formulates an initial transaction strategy, the electricity purchasing micro-grid determines the initial electricity purchasing quantity, the electricity selling micro-grid determines the initial selling electric quantity and price, and the information is uploaded to the cloud platform through encryption safety.
S3, the transaction cloud platform acquires edge node information, judges the edge node information to obtain a judgment result, and releases the edge node to the cloud platform based on the judgment result;
the method comprises the steps that account information of edge nodes is registered at a platform, a cloud trading platform stores the account information of each microgrid, and when the microgrid has an energy trading requirement in the future, the cloud platform firstly performs consensus operation on users and judges whether the users can participate in trading immediately. Therefore, the frequency of failure transactions can be reduced, and the credibility of energy transactions can be increased.
The method comprises the following specific steps:
before the cloud platform publishes the transaction information of the user, information acquisition is carried out on the node, the credibility of the node is judged by acquiring information such as historical transaction data and transaction success times of the node, and if the node has no transaction failure record and has good credit, the information is directly published at the cloud platform; if the credibility of the nodes is not high and default conditions exist, the user needs to execute queuing operation during transaction, the user occupies a rear position during energy transaction, and only when the microgrid transaction without default records in the existing cloud transaction platform is completed or only microgrids with the same transaction requirements remain, microgrid information with default records is allowed to be published at the cloud platform to participate in the energy transaction.
The method realizes the operation of publishing the user information of the nodes at the cloud platform, improves the information credibility at the cloud platform through the node consensus, and promotes the enthusiasm of the microgrid for participating in energy transactions.
And S4, completing the transaction with the information uploaded by the edge node based on the cost function.
The information uploaded to the cloud platform by the edge nodes comprises energy trading volume and energy price, and in order to guarantee privacy safety of the microgrid, the information is encrypted in the uploading process, and the method comprises the following specific steps:
(41) The cloud platform generates corresponding public keys and private keys according to the number of the corresponding edge nodes, the public keys are published to the corresponding edge nodes, the nodes encrypt uploaded data according to the public keys, and then the information is uploaded to the cloud platform.
(42) After receiving the information transmitted by the edge node, the cloud platform decrypts the encrypted information by using the private key, thereby avoiding the risk of stealing the information.
The cloud platform is provided with initial transaction information which all participate in the energy transaction main body, and in order to achieve benefit maximization of all the transaction main bodies, the cloud platform carries out calculation and analysis on data and adjusts transaction amount and transaction price of the micro-grid. The method comprises the following specific steps:
establishing an objective function with the maximum income of the electricity purchasing micro-grid and the electricity selling micro-grid, dividing the micro-grid into the electricity purchasing micro-grid and the electricity selling micro-grid according to the state of the micro-grid, and modeling aiming at the income of different types of micro-grids, wherein the objective functions of different micro-grids are as follows:
the electricity purchase microgrid objective function:
W m ＝-price m *P m，buy -T m，s -T m，new (8)
therein, price m Representing the price, P, of the microgrid m at the time of purchase m，buy Representing the amount of power purchased by the microgrid m,
representing the minimum and maximum values of electricity purchase, P m，buy ＝∑P General assembly -P new ，P General assembly Represents all the electric quantity, P, required by the microgrid m new The output value of the new energy equipment in the microgrid is expressed, the electric quantity required to be purchased by the microgrid has a certain fluctuation range, and flexible adjustment can be performed.
Electricity selling microgrid objective function:
W n ＝price n *(P n，sell )-T n，s -T n，new (10)
price n ≥0 (12)
therein, price n Indicating the electricity price sold by the electricity-selling microgrid, P n，sell The electric quantity sold by the electricity selling micro-grid is represented. The constraint condition is that the electric quantity sold by the electricity selling micro-grid is equal to the electric quantity purchased by the electricity purchasing micro-grid.
At the cloud platform, the purpose that all participating main bodies meet benefit maximization is taken as the goal, solving is carried out, electricity purchasing users carry out electricity consumption and electricity quantity adjustment according to selling electricity prices, electricity selling micro-grids carry out electricity price adjustment according to the electricity energy requirements of the electricity purchasing micro-grids, and Nash balance is achieved finally.
To purchase electricity micro-grid pair P m，buy And (4) calculating the partial derivative by purchasing the electric quantity, wherein the partial derivative is the optimal solution when the formula is 0, so that the adjustable range of the microgrid is obtained. Let X represent the strategy set of the electricity purchasing microgrid totality, Y represent the strategy set of the electricity selling microgrid totality, and the following formula shows the following condition for judging whether the strategy set is a sufficient requirement of the Nash equilibrium solution:
in the formula, X m Represents a strategy set of the electricity purchasing micro-grid m,
represents an optimal strategy for purchasing the electricity microgrid m given other user strategies,
representing a strategy for excluding the electricity-purchasing microgrid m, Y n Represents a strategy set of the electricity-selling microgrid n,
representing policies of a given other userUnder the condition of optimal strategy of the electricity-selling microgrid,
and (4) representing the strategy of other microgrids except the electricity selling microgrid n. Through solving the model, the electricity purchasing micro-grid can reasonably distribute and use energy according to a price strategy, and the electricity selling micro-grid can make an electricity price through an energy utilization strategy to solve a unique Nash equilibrium solution, so that the maximum benefit target is realized.
In the transaction process, in order to prevent malicious nodes from issuing induction information to cause false energy transactions, and meanwhile, in order to prevent the nodes from losing confidence and not honoring corresponding buying and selling operations, a default punishment mechanism is added at the cloud platform, corresponding punishment is carried out on the nodes which issue false information or do not execute transaction operations, and the credibility of the energy transactions is ensured.
When the nodes of the two parties reach the transaction at the cloud platform, the platform monitors the transaction, the trading nodes receive the corresponding energy quantity and the trading amount and then return the information of successful transaction to the cloud platform, and after the cloud platform receives the information of successful transaction of the two parties, the transaction is completed, and the monitoring of the transaction is stopped at the platform. If the cloud platform does not receive information of successful transaction of both parties, the transaction has problems, the cloud platform acquires data of the transaction, judges which party is a default party, performs default punishment on the default party, records default records of the default records at the platform, and for nodes with default records, the nodes occupy a backward position in the future transaction, and the nodes without default records obtain the advantages of priority transaction.
Example two
The application also constructs a transaction platform architecture for energy transaction of the multi-microgrid main body, and the platform architecture is as shown in fig. 4 and comprises the following steps: the system comprises a basic data layer, an intelligent decision layer, a transaction monitoring layer and a user layer;
the basic data layer is connected with the intelligent decision layer and used for storing basic data;
the basic data comprise basic information of the microgrid and an initial transaction strategy of the microgrid;
the intelligent decision layer is connected with the transaction monitoring layer and is used for confirming the credibility of the microgrid;
the specific process comprises the following steps: before the cloud platform publishes the transaction information of the user, information acquisition is carried out on the node, the credibility of the node is judged by acquiring information such as historical transaction data and transaction success times of the node, and if the node has no transaction failure record and has good credit, the information is directly published at the cloud platform; if the credibility of the nodes is not high and default conditions exist, the user needs to execute queuing operation during transaction, the user occupies a rear position during energy transaction, and only when the microgrid transaction without default records in the existing cloud transaction platform is completed or only microgrids with the same transaction requirements remain, microgrid information with default records is allowed to be published at the cloud platform to participate in the energy transaction.
The intelligent decision layer is also used for updating the microgrid transaction strategy; at the cloud platform, the purpose that all participating main bodies meet benefit maximization is taken as the goal, solving is carried out, electricity purchasing users carry out electricity consumption and electricity quantity adjustment according to selling electricity prices, electricity selling micro-grids carry out electricity price adjustment according to the electricity energy requirements of the electricity purchasing micro-grids, and Nash balance is achieved finally.
The transaction monitoring layer is connected with the user layer and used for monitoring the microgrid transaction process;
in the transaction process, in order to prevent malicious nodes from issuing induction information to cause false energy transactions, and simultaneously, in order to prevent the nodes from losing credit and not cashing corresponding buying and selling operations, a default punishment mechanism is added at the cloud platform, corresponding punishment is carried out on the nodes issuing the false information or not executing the transaction operations, and the credibility of the energy transactions is ensured.
When the nodes of the two parties reach the transaction at the cloud platform, the platform monitors the transaction, the trading nodes receive the corresponding energy quantity and the trading amount and then return the information of successful transaction to the cloud platform, and after the cloud platform receives the information of successful transaction of the two parties, the transaction is completed, and the monitoring of the transaction is stopped at the platform. If the cloud platform does not receive information of successful transaction of both parties, the transaction has problems, the cloud platform acquires data of the transaction, judges which party is a default party, performs default punishment on the default party, records default records of the default records at the platform, and for nodes with default records, the nodes occupy a backward position in the future transaction, and the nodes without default records obtain the advantages of priority transaction.
The user layer is used for updating the microgrid state; and updating the microgrid trusted state based on completion of the transaction.
The above-described embodiments are merely illustrative of the preferred embodiments of the present application, and do not limit the scope of the present application, and various modifications and improvements made to the technical solutions of the present application by those skilled in the art without departing from the design spirit of the present application should fall within the protection scope defined by the claims of the present application.
Claims (8)
1. A multi-microgrid energy trading strategy based on edge computing is characterized by comprising the following steps:
s1, modeling the cost of the microgrid equipment, constructing a cost function, and transmitting the cost function and microgrid basic information to an edge node;
s2, the edge node performs data processing based on the basic information to obtain processing information, and an initial transaction strategy is formulated based on the processing information;
s3, the transaction cloud platform acquires edge node information, judges the edge node information to obtain a judgment result, and issues the edge node to the cloud platform based on the judgment result;
and S4, completing the transaction based on the cost function and the information uploaded by the edge node.
2. The multi-microgrid energy trading strategy based on edge computing of claim 1, wherein the cost function comprises a power generation equipment cost function and an energy storage equipment cost function;
the microgrid basic information comprises: historical weather information, historical load value, energy output predicted value.
3. The multi-microgrid energy trading strategy based on edge calculation of claim 2, wherein the power generation equipment cost function comprises:
T m,new (t)＝(αP m,pv (t)+βP m,wind (t)+b)Δt
in the formula, m represents a microgrid, alpha and beta represent unit power generation cost of photovoltaic power generation and wind power generation, b represents a cost coefficient, delta t represents scheduling duration, and P represents pv 、P wind Respectively representing the photovoltaic power output and the wind power output within the scheduling time length;
the energy storage device cost function includes:
in the formula, alpha s Represents the unit charge-discharge cost of the energy storage device,
the power of the energy storage device during charging and discharging is respectively represented, eta represents the charging and discharging efficiency, and delta t represents the scheduling duration.
4. The multi-microgrid energy trading strategy based on edge computing of claim 1, wherein the processing information includes a new energy output predicted value and a load predicted value.
5. The multi-microgrid energy transaction strategy based on edge computing of claim 4, wherein the Euclidean distance is adopted to evaluate the similarity between two weathers, and the new energy output value and the load prediction value are obtained by clustering temperature, humidity and wind degree data of historical weather data.
6. The multi-microgrid energy trading strategy based on edge computing of claim 1, wherein the judgment result comprises: no transaction failure record, good transaction, default and low reliability;
when the nodes without transaction failure records and with good transactions participate in the transactions, the cloud transaction platform directly publishes node information;
when the nodes with default conditions and low credibility participate in transactions, queuing operation is executed, the nodes occupy a rear position during energy transactions, and when the node transactions without default records in the existing cloud transaction platform are completed and only the nodes with the same transaction requirements remain, the node information with default conditions and low credibility is published at the cloud platform to participate in the energy transactions.
7. The multi-microgrid energy transaction strategy based on edge computing of claim 1, wherein the method for completing the transaction comprises: the cloud platform acquires initial transaction information of all nodes participating in energy transaction, calculates and analyzes the initial transaction information, constructs an electricity purchasing micro-grid objective function and an electricity selling micro-grid objective function, and allocates and uses energy and specifies an electricity price strategy based on the electricity purchasing micro-grid objective function, the electricity selling micro-grid objective function and the cost function to complete transaction.
8. A multi-microgrid energy trading platform based on edge computing is characterized by comprising: the system comprises a basic data layer, an intelligent decision layer, a transaction monitoring layer and a user layer;
the basic data layer is connected with the intelligent decision layer and used for storing basic data;
the intelligent decision layer is connected with the transaction monitoring layer and is used for credible confirmation of the microgrid;
the transaction monitoring layer is connected with the user layer and used for monitoring the microgrid transaction process;
and the user layer is used for updating the microgrid state.
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