CN111612363B - Block chain-based electric quantity scheduling method and device, computer equipment and storage medium - Google Patents
Block chain-based electric quantity scheduling method and device, computer equipment and storage medium Download PDFInfo
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Abstract
The application relates to a block chain-based electric quantity scheduling method, a block chain-based electric quantity scheduling device, computer equipment and a storage medium, which comprise the following steps: inputting the target acquisition environment information of the target photovoltaic power grid into a neural network to obtain target acquisition electric quantity of the target photovoltaic power grid; determining target electric quantity according to the target consumed electric quantity and the target collected electric quantity, and if the target photovoltaic power grid is in an electric quantity sufficient state in a set time period according to the target electric quantity, acquiring an energy storage charge value of an energy storage unit of the target photovoltaic power grid; the set time period is a time period after a preset interval time of the current moment; if the energy storage unit is judged to be in a discharging state according to the energy storage charge value, determining the dispatching electric quantity of the target photovoltaic power grid according to a preset electric quantity calculation function; and executing intelligent contracts of the blockchain to schedule the scheduled power quantity from the target photovoltaic power grid to the power utilization demand end. By adopting the method, the dispatching efficiency of the electric quantity can be improved.
Description
Technical Field
The application relates to the technical field of photovoltaic power generation, in particular to a block chain-based electric quantity scheduling method, a block chain-based electric quantity scheduling device, computer equipment and a storage medium.
Background
The photovoltaic power grid can collect electric quantity by utilizing a photovoltaic power generation technology, can be used as power generation equipment, and provides required electric quantity for power utilization demand ends of enterprises and the like.
At present, when the photovoltaic power grid and the electricity consumption demand end are used for dispatching the electric quantity, the central problem is prominent through the middle link of the national power grid; the photovoltaic power grid dispatches the collected electric quantity to the national power grid, and if the electricity demand end needs electricity, the electricity demand end obtains the required electric quantity from the national power grid, so that dispatching efficiency is low.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a blockchain-based power scheduling method, apparatus, computer device, and storage medium that can improve scheduling efficiency.
A blockchain-based power scheduling method, comprising:
inputting target acquisition environment information of a target photovoltaic power grid into a neural network to obtain target acquisition electric quantity of the target photovoltaic power grid; the neural network is obtained by training the collected environment information and the collected electric quantity of the photovoltaic power grid;
determining target electric quantity according to the target collected electric quantity and the target consumed electric quantity, and if the target photovoltaic power grid is in an electric quantity sufficient state in a set time period according to the determined target electric quantity, acquiring an energy storage charge value of an energy storage unit of the target photovoltaic power grid; the target electricity consumption is the electricity consumption of the target photovoltaic power grid, and the set time period is a time period after a preset interval time at the current moment;
If the energy storage unit is judged to be in a discharge state according to the energy storage charge value, determining the dispatching electric quantity of the target photovoltaic power grid according to a preset electric quantity calculation function;
and executing intelligent contracts of a blockchain so as to schedule the scheduling electric quantity from the target photovoltaic power grid to an electricity consumption demand end.
In one embodiment, the acquisition environment information includes irradiance;
the step of inputting the target acquisition environment information of the target photovoltaic power grid into the neural network to obtain the target acquisition electric quantity of the target photovoltaic power grid in a set time period comprises the following steps:
acquiring target irradiance of the target photovoltaic power grid at the current time;
and inputting the target irradiance into a neural network to obtain the target acquisition electric quantity of the target photovoltaic power grid in a set time period.
In one embodiment, the step of executing a blockchain smart contract to schedule the scheduled power from the target photovoltaic grid to a power demand includes:
an intelligent contract to transmit the scheduled power to a blockchain;
controlling the intelligent contract to generate a scheduling instruction corresponding to the scheduling electric quantity, and sending the scheduling instruction to the target photovoltaic power grid; and the scheduling instruction is used for indicating the target photovoltaic power grid to schedule the scheduling electric quantity to the electricity consumption demand end.
In one embodiment, the target photovoltaic grid comprises a plurality of photovoltaic grids;
the step of determining the scheduling electric quantity of the target photovoltaic power grid according to a preset electric quantity calculation function comprises the following steps:
inputting a plurality of target electric quantities into the electric quantity calculation function to obtain a scheduling value; the plurality of target electric quantities respectively correspond to the plurality of photovoltaic power grids;
and if the dispatching value meets the dispatching condition, respectively acquiring corresponding dispatching electric quantity from the electric quantity of the plurality of photovoltaic power grids, and taking the corresponding dispatching electric quantity as the dispatching electric quantity of the target photovoltaic power grid.
In one embodiment, the electric quantity calculation function is constructed based on the operation time length and the maintenance time length of the energy storage unit;
the step of inputting the plurality of target electric quantities into the electric quantity calculation function to obtain a scheduling value comprises the following steps:
acquiring a plurality of target operation time lengths and a plurality of target maintenance time lengths; the plurality of target operation time periods and the plurality of target maintenance time periods are respectively the operation time periods and the maintenance time periods of a plurality of energy storage units in the set time period, and the plurality of energy storage units respectively correspond to the plurality of photovoltaic power grids;
and inputting the multiple target operation time lengths, the multiple target maintenance time lengths and the multiple target electric quantities into the electric quantity calculation function to obtain the scheduling value.
In one embodiment, the step of obtaining the stored energy charge value of the energy storage unit of the target photovoltaic power grid includes:
acquiring charging power and discharging power of the energy storage unit in the set time period;
and processing the charging power and the discharging power according to a preset stored energy charge calculation model to obtain the stored energy charge value.
In one embodiment, the step of determining the scheduled power of the target photovoltaic power grid according to a preset power calculation function includes:
acquiring the current energy storage electric quantity of the energy storage unit;
if the current energy storage electric quantity is consistent with the preset energy storage electric quantity, judging that the target photovoltaic power grid is in a dispatching state;
and determining the dispatching electric quantity of the target photovoltaic power grid according to the preset electric quantity calculation function.
A blockchain-based power scheduling apparatus, comprising:
the acquisition electric quantity acquisition module is used for inputting the target acquisition environment information of the target photovoltaic power grid into the neural network to obtain the target acquisition electric quantity of the target photovoltaic power grid; the neural network is obtained by training the collected environment information and the collected electric quantity of the photovoltaic power grid;
The electric quantity sufficiency judging module is used for determining target electric quantity according to the target collected electric quantity and the target consumed electric quantity, and acquiring an energy storage charge value of an energy storage unit of the target photovoltaic power grid if the target photovoltaic power grid is judged to be in a sufficient electric quantity state in a set time period according to the determined target electric quantity; the target electricity consumption is the electricity consumption of the target photovoltaic power grid, and the set time period is a time period after a preset interval time at the current moment;
the scheduling electric quantity determining module is used for determining the scheduling electric quantity of the target photovoltaic power grid according to a preset electric quantity calculating function if the energy storage unit is judged to be in a discharging state according to the energy storage electric charge value;
and the electric quantity scheduling module is used for executing intelligent contracts of the blockchain so as to schedule the scheduled electric quantity from the target photovoltaic power grid to an electricity consumption demand end.
A computer device comprising a memory storing a computer program and a processor, which when executing the computer program, comprises performing the steps of:
inputting target acquisition environment information of a target photovoltaic power grid into a neural network to obtain target acquisition electric quantity of the target photovoltaic power grid; the neural network is obtained by training the collected environment information and the collected electric quantity of the photovoltaic power grid;
Determining target electric quantity according to the target collected electric quantity and the target consumed electric quantity, and if the target photovoltaic power grid is in an electric quantity sufficient state in a set time period according to the determined target electric quantity, acquiring an energy storage charge value of an energy storage unit of the target photovoltaic power grid; the target electricity consumption is the electricity consumption of the target photovoltaic power grid, and the set time period is a time period after a preset interval time at the current moment;
if the energy storage unit is judged to be in a discharge state according to the energy storage charge value, determining the dispatching electric quantity of the target photovoltaic power grid according to a preset electric quantity calculation function;
and executing intelligent contracts of a blockchain so as to schedule the scheduling electric quantity from the target photovoltaic power grid to an electricity consumption demand end.
A computer readable storage medium having stored thereon a computer program which, when executed by a processor, comprises the steps of:
inputting target acquisition environment information of a target photovoltaic power grid into a neural network to obtain target acquisition electric quantity of the target photovoltaic power grid; the neural network is obtained by training the collected environment information and the collected electric quantity of the photovoltaic power grid;
Determining target electric quantity according to the target collected electric quantity and the target consumed electric quantity, and if the target photovoltaic power grid is in an electric quantity sufficient state in a set time period according to the determined target electric quantity, acquiring an energy storage charge value of an energy storage unit of the target photovoltaic power grid; the target electricity consumption is the electricity consumption of the target photovoltaic power grid, and the set time period is a time period after a preset interval time at the current moment;
if the energy storage unit is judged to be in a discharge state according to the energy storage charge value, determining the dispatching electric quantity of the target photovoltaic power grid according to a preset electric quantity calculation function;
and executing intelligent contracts of a blockchain so as to schedule the scheduling electric quantity from the target photovoltaic power grid to an electricity consumption demand end.
According to the electric quantity scheduling method, the electric quantity scheduling device, the computer equipment and the storage medium based on the blockchain, the node equipment of the blockchain inputs the target acquisition environment information of the target photovoltaic power grid into the neural network to obtain the target acquisition electric quantity of the target photovoltaic power grid, wherein the neural network is obtained by training the acquisition environment information and the acquisition electric quantity of the photovoltaic power grid; if the node equipment of the block chain judges that the target photovoltaic power grid is in an electric quantity sufficient state in a set time period according to the target electric quantity, acquiring an energy storage charge value of an energy storage unit of the target photovoltaic power grid, wherein the target electric quantity is determined according to the target electric quantity consumption and the target acquisition electric quantity, the target electric quantity consumption is the electric quantity used by the target photovoltaic power grid, and the set time period is a time period after a preset interval time at the current moment; if the node equipment of the block chain judges that the energy storage unit is in a discharging state according to the energy storage charge value, determining the dispatching electric quantity of the target photovoltaic power grid according to a preset electric quantity calculation function; the node equipment of the block chain executes an intelligent contract to schedule the scheduling electric quantity from the target photovoltaic power grid to the electricity consumption demand end; when the node equipment of the block chain is used for scheduling electric quantity, the electric quantity sufficiency state and the discharging state of the energy storage unit are combined, the scheduling electric quantity is determined according to a preset electric quantity calculation function, and then the electric quantity scheduling of the target photovoltaic power grid and the electricity consumption demand end is realized, and the electric quantity scheduling efficiency is improved.
Drawings
FIG. 1 is an application environment diagram of a blockchain-based power scheduling method in one embodiment;
FIG. 2 is a flow chart of a block chain based power scheduling method in one embodiment;
FIG. 3 is a flowchart illustrating a block chain based power scheduling process in one embodiment;
FIG. 4 is a block diagram of a block chain based power scheduling apparatus in one embodiment;
fig. 5 is an internal structural diagram of a computer device in one embodiment.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application 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 application.
Reference in the specification to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the described embodiments of the application may be combined with other embodiments.
The electric quantity scheduling method based on the block chain can be applied to an application environment shown in fig. 1. The photovoltaic power grid can supply power to the power consumption demand end, the power supply mode can be to schedule the electric quantity of the photovoltaic power grid to the power consumption demand end, and the power consumption demand end can be the electric equipment of an enterprise. The node equipment in the blockchain can be configured with a pre-trained neural network, the neural network can be obtained by training the collected environment information and the collected electric quantity of the photovoltaic power grid, wherein the collected environment information can be understood as the environment information, such as irradiance, of the photovoltaic power grid when the photovoltaic power grid collects electric energy, and the collected electric quantity (namely, the collected electric quantity) is different in different collecting environments of the photovoltaic power grid; intelligent contracts can be deployed on node equipment of the blockchain, and the intelligent contracts are used for triggering scheduling of electric quantity between a photovoltaic power grid and an electricity consumption demand end.
In one embodiment, as shown in fig. 2, a power scheduling method based on a blockchain is provided, and the method is applied to node equipment of the blockchain for illustration, and includes the following steps:
step S202, inputting target acquisition environment information of a target photovoltaic power grid into a neural network to obtain target acquisition electric quantity of the target photovoltaic power grid; the neural network is obtained by training the collected environment information and the collected electric quantity of the photovoltaic power grid.
The collected environmental information may be understood as environmental information, such as irradiance, when the photovoltaic power grid collects electric energy; the collected electric quantity (namely, the collected electric quantity) of the photovoltaic power grid is different in different collecting environments; the neural network may store a mapping relationship between the collected environment information and the collected electric quantity, and the mapping relationship may be obtained by training the collected environment information and the collected electric quantity of the photovoltaic power grid.
In the step, the node equipment of the blockchain acquires the target acquisition environment information of the target photovoltaic power grid, the target acquisition environment information is input into the neural network, and the corresponding target acquisition electric quantity can be obtained through the mapping relation in the neural network.
Step S204, determining target electric quantity according to the target collected electric quantity and the target consumed electric quantity, and if the target photovoltaic power grid is in an electric quantity sufficient state in a set time period according to the determined target electric quantity, acquiring an energy storage charge value of an energy storage unit of the target photovoltaic power grid; the target electricity consumption is the electricity consumption of the target photovoltaic power grid, and the set time period is the time period after the preset interval time at the current moment.
The set time period is a time period after the preset interval time of the current time, which is equivalent to a time period based on the current time, for example, the current time is 12 points and the preset interval time is 30 minutes, and then the set time period can be 12 points to 12 points and 30 minutes; the target photovoltaic power grid can have collection and consumption of electric quantity within a certain time period (consumption can refer to that electric equipment in the target photovoltaic power grid uses the electric quantity); since there may be collection and consumption of electricity in the target photovoltaic grid within the set period of time, the total electricity (which may be referred to as the target electricity) of the photovoltaic grid within the set period of time may be determined according to the collected electricity and the consumed electricity.
The state of sufficient electric quantity can represent that the target photovoltaic power grid can supply power to the electricity demand end, namely the target photovoltaic power grid can dispatch the electric quantity to the electricity demand end; whether the target photovoltaic power grid is in a sufficient state of electric quantity in a set time period (for example, the sufficient state of electric quantity of 30 minutes at 12 points to 12 points) can be judged through the target electric quantity, and specifically can be as follows: and if the target electric quantity of the target photovoltaic power grid is larger than or equal to the preset electric quantity value, determining that the target photovoltaic power grid is in an electric quantity sufficient state.
The target photovoltaic power grid may include an energy storage unit, which may be implemented based on an electrical storage device such as a lithium battery; the energy storage parameters of the energy storage unit may include: the total stored electric quantity and the actual stored electric quantity can be determined according to the design structure of the energy storage unit, and can be understood as the maximum storable electric quantity of the energy storage unit; the actual stored electricity quantity can be understood as the electricity quantity stored by the energy storage unit at the current moment; the total stored electric quantity and the actual stored electric quantity can determine an energy storage charge value of the energy storage unit, and the energy storage charge value can represent the percentage of the electric quantity stored by the energy storage unit at the current moment.
In this step, after determining that the target photovoltaic power grid is in a sufficient state of electric quantity within a set period of time according to the target electric quantity, the node device of the blockchain acquires an energy storage charge value of an energy storage unit of the target photovoltaic power grid.
Step S206, if the energy storage unit is judged to be in a discharging state according to the energy storage charge value, the dispatching electric quantity of the target photovoltaic power grid is determined according to a preset electric quantity calculation function.
The energy storage unit may include a charging state, which may be understood as acquiring electric quantity from other devices to store the electric quantity, and a discharging state, which may be understood as providing electric quantity to other devices; it can be understood that, for the target photovoltaic power grid provided with the energy storage unit, when judging whether the target photovoltaic power grid can supply power to the power utilization demand end, whether the energy storage unit is in a discharge state needs to be considered, and when the energy storage unit is in the discharge state, the target photovoltaic power grid supplies power to the power utilization demand end, so that the influence of power dispatching on the service time of the energy storage unit can be reduced.
In this step, determining whether the energy storage unit of the target photovoltaic power grid is in a discharge state may be determined according to the stored energy charge value, and may specifically include: judging whether the stored energy charge value is in a preset discharging stored energy charge range, if so, judging that the energy storage unit is in a discharging state; and after the node equipment of the block chain judges that the energy storage unit is in a discharging state according to the energy storage charge value, determining the dispatching electric quantity of the target photovoltaic power grid according to a preset electric quantity calculation function.
The electric quantity calculation function can be a pre-constructed calculation function, and is used for calculating and processing the target electric quantity to obtain the scheduling electric quantity; when the node equipment of the block chain determines the dispatching electric quantity of the target photovoltaic power grid according to the electric quantity calculation function, the target electric quantity can be input into the electric quantity calculation function to obtain a calculation result of the electric quantity calculation function, and the calculation result is used as the dispatching electric quantity.
Step S208, executing intelligent contracts of the block chain to schedule the scheduled power from the target photovoltaic power grid to the power demand end.
The intelligent contracts can be deployed on node equipment of the blockchain and are used for triggering the target photovoltaic power grid to schedule electric quantity to an electricity consumption demand end.
In the step, after the node equipment of the block chain obtains the dispatching electric quantity, the dispatching electric quantity is transmitted to the intelligent contract, and the intelligent contract triggers the target photovoltaic power grid to dispatch the electric quantity to the electricity utilization demand end according to the dispatching electric quantity.
The method specifically comprises the steps that the node equipment of the blockchain transmits the dispatching electric quantity to an intelligent contract, the intelligent contract generates a dispatching instruction corresponding to the dispatching electric quantity and sends the dispatching instruction to a target photovoltaic power grid, and the target photovoltaic power grid dispatches the dispatching electric quantity to an electricity consumption demand end according to the dispatching instruction. The intelligent contract generates a scheduling instruction corresponding to the scheduling electric quantity, and may generate the scheduling instruction carrying the scheduling electric quantity according to the scheduling electric quantity.
In the block chain-based electric quantity scheduling method, the node equipment of the block chain inputs the target acquisition environment information of the target photovoltaic power grid into the neural network to obtain the target acquisition electric quantity of the target photovoltaic power grid, wherein the neural network is obtained by training the acquisition environment information and the acquisition electric quantity of the photovoltaic power grid; if the node equipment of the block chain judges that the target photovoltaic power grid is in a sufficient state of electric quantity in a set time period according to the target electric quantity, acquiring an energy storage charge value of an energy storage unit of the target photovoltaic power grid, wherein the target electric quantity is determined according to the target consumed electric quantity and the target acquired electric quantity, and the set time period is a time period after a preset interval time at the current moment; if the node equipment of the block chain judges that the energy storage unit is in a discharging state according to the energy storage charge value, determining the dispatching electric quantity of the target photovoltaic power grid according to a preset electric quantity calculation function; the node equipment of the block chain executes an intelligent contract to schedule the scheduling electric quantity from the target photovoltaic power grid to the electricity consumption demand end; when the node equipment of the block chain is used for scheduling electric quantity, the electric quantity sufficiency state and the discharging state of the energy storage unit are combined, the scheduling electric quantity is determined according to a preset electric quantity calculation function, and then the electric quantity scheduling of the target photovoltaic power grid and the electricity consumption demand end is realized, and the electric quantity scheduling efficiency is improved.
In one embodiment, to obtain more accurate collected electric quantity, and ensure accuracy of electric quantity scheduling, the collected environmental information may include irradiance, and correspondingly, the neural network may be obtained by training with irradiance and the collected electric quantity, that is, the neural network stores a mapping relationship between irradiance and the collected electric quantity; specifically, when inputting the target collection environment information of the target photovoltaic power grid into the neural network to obtain the target collection electric quantity of the target photovoltaic power grid in a set time period, the node device of the blockchain may include: the node equipment of the blockchain can acquire target irradiance of the target photovoltaic power grid at the current time, input the target irradiance into the neural network, and acquire target acquisition electric quantity of the target photovoltaic power grid in a set time period according to the mapping relation between the irradiance and the acquisition electric quantity in the neural network.
In one embodiment, the neural network may include hidden layers, input layers, and output layers, the corresponding number of layers may be based onAnd determining, wherein n is an implicit layer, m is an input layer, and k is an output layer.
In one scenario, when the electric quantity scheduling is performed on the target photovoltaic power grid and the electricity consumption demand end, if the charge and discharge times of the target photovoltaic power grid are minimum, the scheduling loss is minimum, correspondingly, the scheduling value obtained by the electric quantity calculation function can be regarded as the scheduling loss value, and if the scheduling loss value meets the scheduling condition, the scheduling loss at the moment can be regarded as the minimum.
In one embodiment, if the target photovoltaic power grid includes a plurality of photovoltaic power grids, to achieve the minimum scheduling loss, when determining the scheduling power of the target photovoltaic power grid according to the preset power calculation function, the node device of the blockchain may include: the node equipment of the block chain acquires target electric quantity of a plurality of photovoltaic power grids, and inputs the target electric quantity into an electric quantity calculation function to obtain a scheduling value, wherein the target electric quantity corresponds to the photovoltaic power grids respectively; and judging whether the dispatching value accords with the dispatching condition by the node equipment of the block chain, and if so, acquiring corresponding dispatching electric quantity from the electric quantity of the plurality of photovoltaic power grids respectively to serve as the dispatching electric quantity of the target photovoltaic power grid.
In some scenarios, since the energy storage unit needs maintenance during use, the energy storage unit may include two parameters: the operation time and the maintenance time; therefore, in order to ensure the accuracy of the scheduling loss, the electrical quantity calculation function may include an operation time length and a maintenance time length of the energy storage unit, that is, the electrical quantity calculation function is constructed based on the operation time length and the maintenance time length of the energy storage unit.
The node device of the blockchain may include, when inputting a plurality of target electric quantities into the electric quantity calculation function to obtain the scheduling value: the method comprises the steps that node equipment of a block chain obtains a plurality of target operation time durations and a plurality of target maintenance time durations; the plurality of target operation time periods and the plurality of target maintenance time periods are respectively the operation time periods and the maintenance time periods of the plurality of energy storage units in a set time period, and the plurality of energy storage units respectively correspond to the plurality of photovoltaic power grids; and then the node equipment of the block chain inputs the multiple target operation time lengths, the multiple target maintenance time lengths and the multiple target electric quantities into an electric quantity calculation function to obtain a scheduling value.
In one embodiment, in order to obtain the stored charge value of the energy storage unit more accurately, and improve the accuracy of scheduling, when obtaining the stored charge value of the energy storage unit of the target photovoltaic power grid, the node device of the blockchain may include: the node equipment of the block chain obtains the charging power and the discharging power of the energy storage unit in a set time period; and processing the charging power and the discharging power according to a preset stored energy charge calculation model to obtain a stored energy charge value.
Wherein the stored energy charge model can beWherein S is t OC Represents the stored charge value, E represents the total stored energy of the storage battery, E t Representing the stored electric quantity in the t time period; further, the->Wherein: />Representing the storage electric quantity of the jth energy storage unit in the jth time period; gamma is the charge and discharge efficiency of the energy storage unit; i t Charging, j Representing the charge quantity of the jth energy storage unit in the t time period; p (P) t Charging, j Representing the charging power of j energy storage units in the t time period; i t Put, j Representing the discharge electric quantity of the jth energy storage unit in the jth time period; p (P) t Put, j And the discharging power of the j energy storage units in the t time period is represented.
In one embodiment, when determining the scheduled power of the target photovoltaic power grid according to the preset power calculation function, the node device of the blockchain may include: the node equipment of the block chain acquires the current energy storage electric quantity of the energy storage unit, if the current energy storage electric quantity is consistent with the preset energy storage electric quantity, the target photovoltaic power grid is judged to be in a dispatching state, and the dispatching electric quantity of the target photovoltaic power grid is determined according to a preset electric quantity calculation function.
In this embodiment, the preset energy storage electric quantity and the current energy storage electric quantity may be electric quantities at different moments, for example, the current energy storage electric quantity is an energy storage electric quantity of 1 point, the preset energy storage electric quantity is an energy storage electric quantity of 23 points, and whether the current energy storage electric quantity is consistent with the preset energy storage electric quantity is determined by judging whether the current energy storage electric quantity is consistent with the preset energy storage electric quantity, so that whether the target photovoltaic power grid is in a dispatching state is determined, and the energy storage unit is in a better power supply state. In order to better understand the above method, an example of an application of the blockchain-based power scheduling method of the present application is described in detail below.
Step S302, training node equipment of a block chain by using irradiance and collected electric quantity of a photovoltaic power grid to obtain a neural network;
step S304, the node equipment of the blockchain acquires target irradiance of a plurality of photovoltaic power grids, and inputs the target irradiance into a neural network to acquire acquired electric quantity of the plurality of photovoltaic power grids;
step S306, the node equipment of the block chain determines the corresponding electric quantity according to the consumed electric quantity and the collected electric quantity of the plurality of photovoltaic power grids, and acquires an energy storage charge value when the corresponding photovoltaic power grids are judged to be in an electric quantity sufficient state in a set time period according to the corresponding electric quantity;
step S308, the node equipment of the block chain judges that the corresponding energy storage unit is in a discharge state according to the energy storage charge value, the electric quantity of the plurality of photovoltaic power grids is input into an electric quantity calculation function to obtain a dispatching value, and if the dispatching value accords with a dispatching condition, the dispatching electric quantity of the plurality of photovoltaic power grids is determined from the electric quantity of the plurality of photovoltaic power grids respectively;
Wherein, the electric quantity calculation function constructed based on the operation time length and the maintenance time length of the energy storage unit can be that
n represents the number of photovoltaic power grids, m represents the number of energy storage units;indicating the operating time period of the energy storage unit j,representing the maintenance time of the energy storage unit j in the t time period, C Purchasing (t) weight for acquiring electric quantity from power grid and other equipment, C Selling And (t) represents the weight of power supply to the electricity demand end. When the scheduling value of the electric quantity calculation function reaches the minimum, the scheduling loss can be considered to be the minimum, and the corresponding scheduling electric quantity can be determined at the moment.
Step S310, the node equipment of the block chain transmits a plurality of scheduling electric quantities to the intelligent contract; the intelligent contract generates a dispatching instruction corresponding to the dispatching electric quantity, the dispatching instruction is sent to a corresponding photovoltaic power grid, and the photovoltaic power grid dispatches the dispatching electric quantity to an electricity utilization demand end.
In the above example, when the node device of the blockchain schedules the electric quantity, the node device combines the electric quantity sufficiency state and the discharging state of the energy storage unit, and determines the scheduled electric quantity according to a preset electric quantity calculation function, thereby realizing the electric quantity scheduling of the target photovoltaic power grid and the electricity consumption demand end and improving the electric quantity scheduling efficiency. It should be understood that, although the steps in the flowcharts of fig. 2-3 are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in fig. 2-3 may include multiple steps or stages that are not necessarily performed at the same time, but may be performed at different times, nor does the order in which the steps or stages are performed necessarily performed in sequence, but may be performed alternately or alternately with at least a portion of the steps or stages in other steps or other steps.
In one embodiment, as shown in fig. 4, there is provided a blockchain-based power scheduling apparatus 400, comprising: an acquisition power acquisition module 402, a power sufficiency determination module 404, a schedule power determination module 406, and a power schedule module 408, wherein:
the collected electric quantity acquisition module 402 is used for inputting the target collected environment information of the target photovoltaic power grid into the neural network to obtain the target collected electric quantity of the target photovoltaic power grid; the neural network is obtained by training the collected environment information and the collected electric quantity of the photovoltaic power grid;
the electric quantity sufficiency determining module 404 is configured to determine a target electric quantity according to the target collected electric quantity and the target consumed electric quantity, and if it is determined that the target photovoltaic power grid is in a sufficient state within a set period of time according to the determined target electric quantity, acquire an energy storage charge value of an energy storage unit of the target photovoltaic power grid; the target electricity consumption is the electricity consumption of the target photovoltaic power grid, and the set time period is a time period after the preset interval time at the current moment;
the scheduling electric quantity determining module 406 is configured to determine, if the energy storage unit is in a discharge state according to the energy storage charge value, a scheduling electric quantity of the target photovoltaic power grid according to a preset electric quantity calculation function;
The power dispatching module 408 is configured to execute a smart contract of a blockchain to dispatch the dispatching power from the target photovoltaic grid to the power demand side.
In one embodiment, the collecting environmental information includes irradiance; the acquisition electric quantity acquisition module 402 is further used for acquiring target irradiance of the target photovoltaic power grid at the current time; and inputting the target irradiance into the neural network to obtain the target acquisition electric quantity of the target photovoltaic power grid in a set time period.
In one embodiment, the power scheduling module 408 is further configured to transmit the scheduled power to a smart contract of the blockchain; the intelligent contract is controlled to generate a dispatching instruction corresponding to the dispatching electric quantity, and the dispatching instruction is sent to the target photovoltaic power grid; the scheduling instruction is used for indicating the target photovoltaic power grid to schedule the scheduling electric quantity to the electricity utilization demand end.
In one embodiment, the target photovoltaic grid comprises a plurality of photovoltaic grids; the scheduling power determining module 406 is further configured to input a plurality of target power to the power calculation function to obtain a scheduling value; the plurality of target electric quantities correspond to a plurality of photovoltaic power grids respectively; and if the dispatching value meets the dispatching condition, respectively acquiring corresponding dispatching electric quantity from the electric quantity of the plurality of photovoltaic power grids, and taking the corresponding dispatching electric quantity as the dispatching electric quantity of the target photovoltaic power grid.
In one embodiment, the electrical quantity calculation function is constructed based on the operation duration and the maintenance duration of the energy storage unit; the scheduling power determining module 406 is further configured to obtain a plurality of target operation durations and a plurality of target maintenance durations; the plurality of target operation time periods and the plurality of target maintenance time periods are respectively the operation time periods and the maintenance time periods of the plurality of energy storage units in a set time period, and the plurality of energy storage units respectively correspond to the plurality of photovoltaic power grids; and inputting the multiple target operation time lengths, the multiple target maintenance time lengths and the multiple target electric quantities into an electric quantity calculation function to obtain a scheduling value.
In one embodiment, the electric quantity sufficiency determination module 404 is further configured to obtain a charging power and a discharging power of the energy storage unit in a set period of time; and processing the charging power and the discharging power according to a preset stored energy charge calculation model to obtain a stored energy charge value.
In one embodiment, the scheduling power determination module 406 is further configured to obtain a current energy storage power of the energy storage unit; if the current energy storage electric quantity is consistent with the preset energy storage electric quantity, judging that the target photovoltaic power grid is in a dispatching state; and determining the dispatching electric quantity of the target photovoltaic power grid according to a preset electric quantity calculation function.
For specific limitations on the blockchain-based power scheduling device, reference may be made to the above limitation on the blockchain-based power scheduling method, and the detailed description thereof will be omitted. The various modules in the blockchain-based power scheduling device described above may be implemented in whole or in part by software, hardware, and combinations thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 5. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is for storing blockchain-based power scheduling data. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program, when executed by a processor, implements a blockchain-based power scheduling method.
It will be appreciated by those skilled in the art that the structure shown in FIG. 5 is merely a block diagram of some of the structures associated with the present inventive arrangements and is not limiting of the computer device to which the present inventive arrangements may be applied, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory storing a computer program and a processor implementing the steps of the method embodiments described above when the processor executes the computer program.
In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when executed by a processor, carries out the steps of the respective method embodiments described above.
It should be noted that, the steps executed by the processor in the computer device are in one-to-one correspondence with the blockchain-based power scheduling method of the present application, and the content and the corresponding technical effects described in the embodiment of the blockchain-based power scheduling method are applicable to the embodiment of the computer device, which is not described herein.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, or the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples illustrate only a few embodiments of the application, which are described in detail and are not to be construed as limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of protection of the present application is to be determined by the appended claims.
Claims (10)
1. A blockchain-based power scheduling method, comprising:
inputting target acquisition environment information of a target photovoltaic power grid into a neural network to obtain target acquisition electric quantity of the target photovoltaic power grid; the neural network is obtained by training the collected environment information and the collected electric quantity of the photovoltaic power grid;
determining target electric quantity according to the target collected electric quantity and the target consumed electric quantity, and if the target photovoltaic power grid is in an electric quantity sufficient state in a set time period according to the determined target electric quantity, acquiring an energy storage charge value of an energy storage unit of the target photovoltaic power grid; the target electricity consumption is the electricity consumption of the target photovoltaic power grid, and the set time period is a time period after a preset interval time at the current moment;
If the energy storage unit is judged to be in a discharge state according to the energy storage charge value, determining the dispatching electric quantity of the target photovoltaic power grid according to a preset electric quantity calculation function;
executing intelligent contracts of a block chain to schedule the scheduling electric quantity from the target photovoltaic power grid to an electricity consumption demand end;
in the case that the target photovoltaic power grid includes a plurality of photovoltaic power grids and the power calculation function is constructed based on the operation duration and the maintenance duration of the energy storage unit, the step of determining the scheduled power of the target photovoltaic power grid according to the preset power calculation function includes: acquiring a plurality of target operation time lengths and a plurality of target maintenance time lengths; the plurality of target operation time periods and the plurality of target maintenance time periods are respectively the operation time periods and the maintenance time periods of a plurality of energy storage units in the set time period, and the plurality of energy storage units respectively correspond to the plurality of photovoltaic power grids; inputting the multiple target operation time lengths, the multiple target maintenance time lengths and the multiple target electric quantities into the electric quantity calculation function to obtain a scheduling value; the plurality of target electric quantities respectively correspond to the plurality of photovoltaic power grids; if the dispatching value meets the dispatching condition, respectively acquiring corresponding dispatching electric quantity from the electric quantity of the plurality of photovoltaic power grids to serve as the dispatching electric quantity of the target photovoltaic power grid;
The electric quantity calculation function constructed based on the operation time length and the maintenance time length of the energy storage unit is as follows:
n represents the number of photovoltaic power grids, and m represents the number of energy storage units;indicating the operating time of the energy storage unit j, < >>Representing the maintenance time of the energy storage unit j in the t time period, C Purchasing (t) weight for obtaining electric quantity from electric network, C Selling (t) represents the weight of power supply to the electricity demand end, I t Charging, j Representing the charge quantity of the energy storage unit j in the t-th time period; p (P) t Charging, j Representing the charging power of the energy storage unit j in the t-th time period; i t Put, j Representing the discharge electric quantity of the energy storage unit j in the t time period; p (P) t Put, j Representing the discharge power of the energy storage unit j in the t-th period.
2. The method of claim 1, wherein the acquisition environment information comprises irradiance;
the step of inputting the target acquisition environment information of the target photovoltaic power grid into the neural network to obtain the target acquisition electric quantity of the target photovoltaic power grid comprises the following steps:
acquiring target irradiance of the target photovoltaic power grid at the current time;
and inputting the target irradiance into a neural network to obtain the target acquisition electric quantity of the target photovoltaic power grid in a set time period.
3. The method of claim 1, wherein the step of executing a blockchain smart contract to schedule the amount of electricity to be scheduled from the target photovoltaic grid to an electricity demand side comprises:
an intelligent contract to transmit the scheduled power to a blockchain;
controlling the intelligent contract to generate a scheduling instruction corresponding to the scheduling electric quantity, and sending the scheduling instruction to the target photovoltaic power grid; and the scheduling instruction is used for indicating the target photovoltaic power grid to schedule the scheduling electric quantity to the electricity consumption demand end.
4. The method of claim 1, wherein the step of obtaining the stored charge value of the energy storage unit of the target photovoltaic power grid comprises:
acquiring charging power and discharging power of the energy storage unit in the set time period;
and processing the charging power and the discharging power according to a preset stored energy charge calculation model to obtain the stored energy charge value.
5. The method according to any one of claims 1 to 4, wherein the step of determining the scheduled power of the target photovoltaic power grid according to a preset power calculation function comprises:
Acquiring the current energy storage electric quantity of the energy storage unit;
if the current energy storage electric quantity is consistent with the preset energy storage electric quantity, judging that the target photovoltaic power grid is in a dispatching state;
and determining the dispatching electric quantity of the target photovoltaic power grid according to the preset electric quantity calculation function.
6. A blockchain-based power scheduling apparatus, comprising:
the acquisition electric quantity acquisition module is used for inputting the target acquisition environment information of the target photovoltaic power grid into the neural network to obtain the target acquisition electric quantity of the target photovoltaic power grid; the neural network is obtained by training the collected environment information and the collected electric quantity of the photovoltaic power grid;
the electric quantity sufficiency judging module is used for determining target electric quantity according to the target collected electric quantity and the target consumed electric quantity, and acquiring an energy storage charge value of an energy storage unit of the target photovoltaic power grid if the target photovoltaic power grid is judged to be in a sufficient electric quantity state in a set time period according to the determined target electric quantity; the target electricity consumption is the electricity consumption of the target photovoltaic power grid, and the set time period is a time period after a preset interval time at the current moment;
the scheduling electric quantity determining module is used for determining the scheduling electric quantity of the target photovoltaic power grid according to a preset electric quantity calculating function if the energy storage unit is judged to be in a discharging state according to the energy storage electric charge value;
The electric quantity scheduling module is used for executing intelligent contracts of a blockchain so as to schedule the scheduled electric quantity from the target photovoltaic power grid to an electricity consumption demand end;
in the case that the target photovoltaic power grid includes a plurality of photovoltaic power grids and the power calculation function is constructed based on the operation duration and the maintenance duration of the energy storage unit, the scheduling power determination module is further configured to: acquiring a plurality of target operation time lengths and a plurality of target maintenance time lengths; the plurality of target operation time periods and the plurality of target maintenance time periods are respectively the operation time periods and the maintenance time periods of a plurality of energy storage units in the set time period, and the plurality of energy storage units respectively correspond to the plurality of photovoltaic power grids; inputting the multiple target operation time lengths, the multiple target maintenance time lengths and the multiple target electric quantities into the electric quantity calculation function to obtain a scheduling value; the plurality of target electric quantities respectively correspond to the plurality of photovoltaic power grids; if the dispatching value meets the dispatching condition, respectively acquiring corresponding dispatching electric quantity from the electric quantity of the plurality of photovoltaic power grids to serve as the dispatching electric quantity of the target photovoltaic power grid;
the electric quantity calculation function constructed based on the operation time length and the maintenance time length of the energy storage unit is as follows:
n represents the number of photovoltaic power grids, and m represents the number of energy storage units;indicating the operating time of the energy storage unit j, < >>Representing the maintenance time of the energy storage unit j in the t time period, C Purchasing (t) weight for obtaining electric quantity from electric network, C Selling (t) represents the weight of power supply to the electricity demand end, I t Charging, j Representing the charge quantity of the energy storage unit j in the t-th time period; p (P) t Charging, j Representing the charging power of the energy storage unit j in the t-th time period; i t Put, j Representing the discharge electric quantity of the energy storage unit j in the t time period; p (P) t Put, j Representing the discharge power of the energy storage unit j in the t-th period.
7. The apparatus of claim 6, wherein the acquisition environment information comprises irradiance;
the acquisition electric quantity acquisition module is further used for acquiring target irradiance of the target photovoltaic power grid at the current time; and inputting the target irradiance into a neural network to obtain the target acquisition electric quantity of the target photovoltaic power grid in a set time period.
8. The apparatus of claim 6, wherein the power scheduling module is further configured to: an intelligent contract to transmit the scheduled power to a blockchain; controlling the intelligent contract to generate a scheduling instruction corresponding to the scheduling electric quantity, and sending the scheduling instruction to the target photovoltaic power grid; and the scheduling instruction is used for indicating the target photovoltaic power grid to schedule the scheduling electric quantity to the electricity consumption demand end.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any one of claims 1 to 5 when the computer program is executed.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 5.
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