CN116957635A - Power price acquisition method, device, electronic equipment and storage medium - Google Patents
Power price acquisition method, device, electronic equipment and storage medium Download PDFInfo
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Abstract
The disclosure provides a method, a device, electronic equipment and a storage medium for acquiring electric power price, wherein the method comprises the following steps: acquiring electricity consumption data of a supply node to be predicted and a use node; acquiring a target transaction path for transmitting power from a supply node to a using node based on power consumption data, and a first declaration price; calculating a conversion parameter based on the target transaction path, and determining a second declaration price of the supply node based on the conversion parameter and the first declaration price; a target power transmission price is determined based on the first declared price and the second declared price. The target transmission price is generated through the first declaration price of the target transaction path and the use node which are predicted to be generated, the conversion parameter is calculated, the second declaration price is determined based on the calculated conversion parameter, and the target transmission price is generated through the first declaration price and the second declaration price, so that more accurate transmission price is formulated from three dimensions of the supply node, the use node and the transaction path of the supply node and the use node, and accurate data is provided for follow-up power price formulation, bidding and other works.
Description
Technical Field
The disclosure relates to the technical field of power price prediction, and in particular relates to a power price acquisition method, a device, electronic equipment and a storage medium.
Background
The inter-provincial power spot transaction is an important component of a multi-level unified power market system in China, and is an important measure for realizing national energy strategy and promoting power market innovation. The continuous growth and development of the inter-provincial power spot transaction has important significance for realizing the power supply and low-carbon transformation targets in the construction process of the novel power system. The inter-provincial power spot transaction is closely related to the power supply and demand relationship of each region, and the supply and demand change trend is more difficult to judge along with the global climate change, so that the development trend of inter-provincial spot price is difficult to predict, for example, the inter-provincial spot price is influenced by multiple factors such as lasting high temperature, increased power demand, tension of power supply and the like during the peak-welcome summer of 2022. This results in a more complex market environment, exacerbating the difficulty of trading for market subjects, and increasing the trading threshold.
Disclosure of Invention
The present disclosure aims to solve, at least to some extent, one of the technical problems in the related art.
To this end, it is an object of the present disclosure to propose a power price acquisition method.
A second object of the present disclosure is to propose an electric power price obtaining device.
A third object of the present disclosure is to propose an electronic device.
A fourth object of the present disclosure is to propose a non-transitory computer readable storage medium.
A fifth object of the present disclosure is to propose a computer programme product.
To achieve the above object, an embodiment of a first aspect of the present disclosure provides a power price obtaining method, including: acquiring electricity consumption data of a supply node to be predicted and a use node; acquiring a target transaction path of the power transmission from the supply node to the using node and a first declaration price of the using node based on the power consumption data; calculating a conversion parameter based on the target transaction path, and determining a second declared price of the supply node based on the conversion parameter and the first declared price; a target power transmission price is determined based on the first declared price and the second declared price.
According to one embodiment of the disclosure, the calculating the conversion parameter based on the target transaction path includes: acquiring a target intermediate conversion variable; a conversion parameter is determined based on the target transaction path.
According to one embodiment of the disclosure, the determining a conversion parameter based on the target transaction path includes: acquiring a plurality of sections of cross-region channels of the target transaction path and a power transmission network loss rate corresponding to each section of cross-region channels; subtracting the transmission network loss rate from 1 to obtain the effective transmission rate of each section of the cross-regional channel; and multiplying the effective power transmission rates of all the cross-zone channels to calculate and obtain the conversion parameters.
According to one embodiment of the present disclosure, the obtaining the target intermediate conversion variable includes: aiming at any cross-zone channel, acquiring sub-conversion parameters and power transmission prices of the cross-zone channel; multiplying the power transmission price and the sub-conversion parameters to obtain sub-intermediate conversion variables; all sub-intermediate conversion variables are added to obtain the target intermediate conversion variable.
According to one embodiment of the present disclosure, the obtaining the cross-zone channel sub-conversion parameter includes: calculating the sub-effective power transmission rate from the supply node to the trans-regional channel; multiplying the sub-effective power transmission rates from all the supply nodes to the cross-zone channel to calculate and obtain the cross-zone channel sub-conversion parameters.
According to one embodiment of the present disclosure, the calculating the second declaration price based on the conversion parameter, the target intermediate conversion variable, and the first declaration price includes: multiplying the first declaration price and the conversion parameter, and subtracting the product from the target intermediate conversion variable to calculate and obtain the second declaration price.
According to one embodiment of the present disclosure, obtaining a first declared price of the usage node based on the electricity usage data includes: acquiring all historical power transmission prices of the using nodes in the power consumption data; the first declared price is determined based on the historical transmission price.
To achieve the above object, a second aspect of the present disclosure provides an electric power price acquisition apparatus, including: the acquisition module is used for acquiring electricity data and an electric power spot transaction model of the supply node to be predicted and the use node; the calling module is used for inputting the electricity consumption data into the electric power spot transaction model so as to acquire a target transaction path and a first declaration price of the using node; a determining module configured to determine a second declared price for the supply node based on the target transaction path and the first declared price; and the formulating module is used for determining a target transaction strategy based on the first declaration price and the second declaration price.
To achieve the above object, an embodiment of a third aspect of the present disclosure provides an electronic device, including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to implement the power price acquisition method according to embodiments of the first aspect of the present disclosure.
To achieve the above object, a fourth aspect embodiment of the present disclosure proposes a non-transitory computer-readable storage medium storing computer instructions for implementing the power price acquisition method according to the first aspect embodiment of the present disclosure.
To achieve the above object, an embodiment of a fifth aspect of the present disclosure proposes a computer program product comprising a computer program for implementing the power price acquisition method according to the embodiment of the first aspect of the present disclosure when being executed by a processor.
Therefore, the target transaction path and the first declaration price of the using node are predicted to be generated, the conversion parameter is calculated, the second declaration price of the using node is determined based on the calculation conversion parameter, and the target power transmission price is generated through the first declaration price and the second declaration price, so that more accurate power transmission price can be formulated from three dimensions of the supplying node, the using node and the transaction path between the supplying node and the using node, and accurate data can be provided for subsequent works such as power price formulation, bidding and the like.
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FIG. 1 is a schematic diagram of a method of power price acquisition according to one embodiment of the present disclosure;
FIG. 2 is a schematic diagram of another power price acquisition method of an embodiment of the present disclosure;
FIG. 3 is a schematic diagram of an electrical power price acquisition device according to one embodiment of the present disclosure;
fig. 4 is a schematic diagram of an electronic device according to one embodiment of the present disclosure.
Detailed Description
Embodiments of the present disclosure are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are exemplary and intended for the purpose of explaining the present disclosure and are not to be construed as limiting the present disclosure.
Fig. 1 is a schematic diagram of an exemplary embodiment of a power price acquisition method according to the present disclosure, as shown in fig. 1, the power price acquisition method includes the following steps:
s101, acquiring electricity consumption data of a supply node to be predicted and a use node.
The power price acquisition method of the embodiment of the application can be applied to the scenes of power spot transaction or quotation, and the execution subject of the power price acquisition of the embodiment of the application can be the power price acquisition device of the embodiment of the application, and the power price acquisition device can be arranged on electronic equipment.
It should be noted that, the supply node is a place where the power supply is located, and the node may be a province where the power supply is located. The node is used as a place needing to be powered, and the node can be a province where the power needs to be powered.
In the embodiment of the present disclosure, the electricity data of the supply node and the usage node may include various types, and are not limited herein, and may be specifically limited according to actual design requirements. For example, information may include historical trade prices, predicted time, bid space, new energy output, air temperature, wind speed, buyer and seller electricity prices and quantities, and the like.
It should be noted that the electricity consumption data may be obtained by extracting the disclosure data of the transaction center, or may be obtained by historical transaction records, which is not limited in this respect.
S102, acquiring a target transaction path for transmitting power from a supply node to a using node based on power consumption data and a first declaration price of the using node.
In the embodiments of the present disclosure, the method of determining the first declaration price of the usage node based on the electrical data may be various, and is not limited in any way herein. For example, a first declared price may be determined based on historical buyer prices in the electrical data; the first declared price may also be obtained by inputting electrical data into a usage node price generation model.
In the embodiment of the disclosure, the transaction paths from the supply node to the using node may be multiple, and the target transaction path is the optimal path meeting the conditions in all the current paths. The conditions may be various and are not limited in any way herein. For example, the transaction path passing through all the set places may be the transaction path with the shortest distance, and the transaction path with the lowest electric loss.
In one possible implementation, the target transaction path is obtained upon input of electrical data into the power spot transaction model. The electric power spot transaction model is trained in advance and stored in a storage space of the electronic equipment so as to be convenient to call and use when needed. The power spot transaction model is used to predict the buying claim price of a specific area in the future time period.
Firstly, a transaction network diagram is constructed through an electric power spot transaction model, wherein each supply node is used as a node in the diagram, the edge of a connection node is a transaction path, and the characteristics of the node and the characteristics of neighboring nodes are aggregated based on information such as power transmission price, network loss rate, channel capacity, voltage level and the like, so that new characteristic representation of the node is obtained. By constructing a local first order approximation calculation of the spectral domain graph convolution to process irregular graph structure data, learning embedded representations of nodes and edges, capturing structures and relationships between nodes:
wherein,,is an input to the layer 1 network; />N is->The number of nodes in (a); each node is represented by using a d-dimensional feature vector; a is an adjacency matrix of the undirected graph; />；/>Is an n-order identity matrix; />Is the degree matrix of the undirected graph, +.>；/>Is a parameter to be trained; h is the output dimension; />For the corresponding activation function Relu.
After the sending end province and the receiving end province are selected, the channel number J and the output result K are defined, the front K target transaction paths with the channel number not higher than J are automatically output through the graphic neural network, combined and displayed in the map. Besides automatically outputting the target transaction paths, single variables such as power transmission price and the like can be directly used for sorting transaction path combinations (for example, the transaction path combinations with the front K pieces of power transmission price from lowest to highest and the number of channels not higher than J), displayed contents comprise a transmitting end, a receiving end, a transaction path, power transmission price, total network loss and composition of the transaction paths, channel market space information for checking market space change trend of the channels, monthly maintenance plans such as maintenance days, maintenance time, channel quota and the like, and channel power transmission capacity information such as power transmission capacity, maximum power transmission capacity, available capacity, used capacity and the like.
It should be noted that the first declared price is an optimal price using a node or a predicted price combined with historical transaction data.
S103, calculating a conversion parameter based on the target transaction path, and determining a second declaration price of the supply node based on the conversion parameter and the first declaration price.
It should be noted that, in the transaction path from the supply node to the usage node, there may be a cross-zone channel, an inter-provincial interconnecting line, or an area sharing power grid, and in the transmission process, there may be factors such as electric quantity loss, electric energy transmission cost, etc., where the conversion parameters are parameters used to describe these parameters affecting the electric energy cost. The larger the conversion parameter is, the higher the transportation cost is, and the higher the second declaration price affecting the supply node is.
In the embodiments of the present disclosure, the method for calculating the conversion parameter after the target transaction path is obtained may be various, which is not limited in any way herein.
Alternatively, the second declared price of the offer node may be obtained by inputting the target transaction path into a conversion parameter generation model. The conversion parameter generation model is trained in advance and stored in a storage space of the electronic equipment so as to be convenient to call and use when needed.
Optionally, the target transaction path may be further processed by a preset processing condition to obtain the conversion parameter. The processing conditions may be various and are not limited in any way herein, and may be, for example, by determining the electrical loss on the target transaction path to obtain the conversion parameters.
S104, determining a target power transmission price based on the first declaration price and the second declaration price.
It should be noted that, the target power transmission price is the electric energy price which best meets the user's requirement in the current target transaction path. The user demand may include a variety of, for example, profit margin, loss rate, etc. of the user demand, and may be specifically defined according to actual design requirements.
In the embodiment of the present disclosure, the method for determining the target power transmission price based on the first declared price and the second declared price may be various, and is not limited in any way.
Alternatively, the target power transmission price may be determined by setting weight parameters for the first declared price and the second declared price, respectively, and assigning the proportions of the first declared price and the second declared price in the target power transmission price based on the weight parameters. It should be noted that the weight parameter may be set according to actual design requirements, and is not limited in any way herein.
Alternatively, the target power transmission price may also be obtained by inputting the first declared price and the second declared price into the power transmission price generation model. The power transmission price generation model is trained in advance and stored in a storage space of the electronic equipment, so that the power transmission price generation model is convenient to call and use when needed.
In the embodiment of the disclosure, firstly, power consumption data of a supply node to be predicted and a use node are acquired, then, a target transaction path of power transmission from the supply node to the use node is acquired based on the power consumption data, and a first declaration price of the use node, then, a conversion parameter is calculated based on the target transaction path, a second declaration price of the supply node is determined based on the conversion parameter and the first declaration price, and finally, a target power transmission price is determined based on the first declaration price and the second declaration price. Therefore, the target transaction path and the first declaration price of the using node are predicted to be generated, the conversion parameter is calculated, the second declaration price of the using node is determined based on the calculation conversion parameter, and the target power transmission price is generated through the first declaration price and the second declaration price, so that more accurate power transmission price can be formulated from three dimensions of the supplying node, the using node and the transaction path between the supplying node and the using node, and accurate data can be provided for subsequent works such as power price formulation, bidding and the like.
In the embodiment of the disclosure, the first declaration price of the usage node is acquired based on the electricity consumption data, all the historical electricity transmission prices of the usage node in the electricity consumption data may be acquired first, and then the first declaration price is determined based on the historical electricity transmission prices.
In one embodiment of the present disclosure, after the target transaction path is obtained, the display of the two modules of the whole network transaction channel and the transaction path combination may be further performed according to channel information such as channel name, power transmission price, network loss rate, channel capacity, voltage class, channel number, and the like. The whole network trading channel displays channel information such as the number of channels, the channel name, the power transmission price, the network loss rate, the channel capacity, the voltage level and the like of the northeast power grid, the North China power grid, the northwest power grid, the east China power grid and the middle China power grid through different color blocks in the map. Therefore, the prediction result can be displayed to the user more clearly and more clearly, and the use experience of the user is improved.
In the above embodiment, the calculation of the conversion parameter based on the target transaction path may be further explained by fig. 2, and the method includes:
s201, acquiring a target intermediate conversion variable.
In the disclosed embodiments, the intermediate conversion variable is used to represent the loss of power en route to transportation based on the target transaction path.
It should be noted that, in the calendar transaction path from the supply node to the usage node, a cross-zone channel, an inter-provincial tie line or a regional shared power grid may be used, where the power transmission loss and the power price of each cross-zone channel may be different, so that separate analysis needs to be performed according to each cross-zone channel to determine the target intermediate conversion variable.
In the embodiment of the disclosure, the sub-conversion parameters and the power transmission price of the cross-zone channel can be obtained for any cross-zone channel, then the power transmission price and the sub-conversion parameters are multiplied to obtain sub-intermediate conversion variables, and finally all the sub-intermediate conversion variables are added to obtain the target intermediate conversion variable.
It should be noted that, the sub-conversion parameters of the cross-zone channel are obtained, the sub-effective power transmission rates from the supply nodes to the cross-zone channel can be calculated first, and then the sub-effective power transmission rates from all the supply nodes to the cross-zone channel are multiplied to calculate and obtain the sub-conversion parameters of the cross-zone channel.
In an embodiment of the present disclosure, the target intermediate conversion variable may be calculated by the following formula:
wherein,,n is the total number of trans-regional channels, which is the target intermediate conversion variable, +.>Sub-active transport for a trans-regional channel labeled rElectric rate->And m is the serial number of the cross-zone channel which is required to be calculated currently for the power transmission price of the cross-zone channel.
S202, determining a conversion parameter based on the target transaction path.
In the embodiment of the disclosure, a plurality of segments of cross-zone channels of a target transaction path and a power transmission network loss rate corresponding to each segment of cross-zone channel can be obtained first, then the power transmission network loss rate is subtracted from 1 to obtain an effective power transmission rate of each segment of cross-zone channel, and finally the effective power transmission rates of all cross-zone channels are multiplied to calculate and obtain a conversion parameter.
In embodiments of the present disclosure, the conversion parameters may be calculated by the following formula:
wherein,,n is the total number of the cross-zone channels, m is the serial number of the cross-zone channel to be calculated currently, and +.>And the sub-effective transmission rate of the cross-zone channel with the reference number of m.
In an embodiment of the present disclosure, a target intermediate conversion variable is first obtained, and then a conversion parameter is determined based on a target transaction path. Therefore, the target transaction path is divided into a plurality of cross-regional channels and analyzed independently, so that more accurate conversion parameters can be obtained, and the accuracy of data is improved.
In the embodiment of the disclosure, the target power transmission price is determined based on the first declaration price and the second declaration price, and the first declaration price and the conversion parameter may be multiplied first, and the product may be subtracted from the target intermediate conversion variable to calculate and obtain the second declaration price.
The second declaration price can be calculated by the following formula.
Wherein,,for the target intermediate conversion variable, < >>For the conversion parameters->First declared price for buyer node in period t,/for buyer node>The second declared price for the buyer node during period t.
In the embodiment of the disclosure, the optimal transaction policy is determined based on the first declared price and the second declared price, and the optimal transaction policy may also be formulated by acquiring the selling price of the supply node and then adjusting the predicted offer based on the selling price and the second declared price.
It should be noted that, the optimal transaction policy may also be formulated with reference to preset limiting conditions. The preset limiting conditions may be various, and are not limited in any way. For example, the defined conditions may include rate of return, preferred route, and the like.
Corresponding to the power price obtaining methods provided by the above several embodiments, an embodiment of the present disclosure further provides a power price obtaining apparatus, and since the power price obtaining apparatus provided by the embodiment of the present disclosure corresponds to the power price obtaining method provided by the above several embodiments, implementation of the power price obtaining method described above is also applicable to the power price obtaining apparatus provided by the embodiment of the present disclosure, and will not be described in detail in the following embodiments.
Fig. 3 is a schematic diagram of an electric power price obtaining device according to the present disclosure, as shown in fig. 3, the electric power price obtaining device 300 includes: the acquisition module 310, the invocation module 320, the determination module 330, and the formulation module 340.
The acquiring module 310 is configured to acquire electricity data of the supply node and the usage node to be predicted.
A calling module 320 is configured to obtain, based on the electricity consumption data, a target transaction path for the supply node to transmit electricity to the usage node, and a first declaration price of the usage node.
The determining module 330 is configured to calculate a conversion parameter based on the target transaction path, and determine a second declaration price of the supply node based on the conversion parameter and the first declaration price.
The formulating module 340 is configured to determine the target power transmission price based on the first declared price and the second declared price.
In the embodiment of the present disclosure, the determining module 330 is further configured to: acquiring a target intermediate conversion variable; a conversion parameter is determined based on the target transaction path.
In the embodiment of the present disclosure, the determining module 330 is further configured to: acquiring a plurality of sections of cross-region channels of a target transaction path and a power transmission network loss rate corresponding to each section of cross-region channel; subtracting the transmission network loss rate from 1 to obtain the effective transmission rate of each section of the cross-regional channel; and multiplying the effective power transmission rates of all the cross-regional channels to calculate and obtain the conversion parameters.
In the embodiment of the present disclosure, the determining module 330 is further configured to: aiming at any cross-zone channel, acquiring cross-zone channel sub-conversion parameters and power transmission price; multiplying the power transmission price and the sub-conversion parameters to obtain sub-intermediate conversion variables; all sub-intermediate converted variables are added to obtain the target intermediate converted variable.
In the embodiment of the present disclosure, the determining module 330 is further configured to: calculating the sub-effective power transmission rate from the supply node to the cross-zone channel; multiplying the sub-effective power transmission rates from all the supply nodes to the cross-zone channel to calculate and obtain the cross-zone channel sub-conversion parameters.
In the embodiment of the present disclosure, the determining module 330 is further configured to: multiplying the first declaration price and the conversion parameter, and subtracting the product from the target intermediate conversion variable to calculate and obtain a second declaration price.
In the embodiment of the present disclosure, the formulation module 340 is further configured to: acquiring all historical power transmission prices of the use nodes in the power consumption data; a first declared price is determined based on the historical transmission prices.
Therefore, the target transaction path and the first declaration price of the using node are predicted to be generated, the conversion parameter is calculated, the second declaration price of the using node is determined based on the calculation conversion parameter, and the target power transmission price is generated through the first declaration price and the second declaration price, so that more accurate power transmission price can be formulated from three dimensions of the supplying node, the using node and the transaction path between the supplying node and the using node, and accurate data can be provided for subsequent works such as power price formulation, bidding and the like.
In order to implement the above embodiments, the embodiments of the present disclosure further provide an electronic device 400, as shown in fig. 4, where the electronic device 400 includes: the processor 401 and a memory 402 communicatively connected to the processor, the memory 402 storing instructions executable by the at least one processor, the instructions being executed by the at least one processor 401 to implement a power price acquisition method as an embodiment of the first aspect of the present disclosure.
To achieve the above-described embodiments, the embodiments of the present disclosure also propose a non-transitory computer-readable storage medium storing computer instructions for causing a computer to implement the electric power price acquisition method as the embodiments of the first aspect of the present disclosure.
To achieve the above embodiments, the embodiments of the present disclosure also propose a computer program product comprising a computer program which, when executed by a processor, implements a power price acquisition method as the embodiments of the first aspect of the present disclosure.
In the description of the present disclosure, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", "axial", "radial", "circumferential", etc. indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings are merely for convenience in describing the present disclosure and simplifying the description, and do not indicate or imply that the device or element being referred to must have a specific orientation, be configured and operated in a specific orientation, and therefore should not be construed as limiting the present disclosure.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. In the description of the present disclosure, the meaning of "a plurality" is two or more, unless explicitly defined otherwise.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present disclosure. In this specification, schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.
Although embodiments of the present disclosure have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the present disclosure, and that variations, modifications, alternatives, and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the present disclosure.
Claims (10)
1. A power price acquisition method, characterized by comprising:
acquiring electricity consumption data of a supply node to be predicted and a use node;
acquiring a target transaction path of the power transmission from the supply node to the using node and a first declaration price of the using node based on the power consumption data;
calculating a conversion parameter based on the target transaction path, and determining a second declared price of the supply node based on the conversion parameter and the first declared price;
a target power transmission price is determined based on the first declared price and the second declared price.
2. The method of claim 1, wherein the calculating a conversion parameter based on the target transaction path comprises:
acquiring a target intermediate conversion variable;
a conversion parameter is determined based on the target transaction path.
3. The method of claim 2, wherein the determining a conversion parameter based on the target transaction path comprises:
acquiring a plurality of sections of cross-region channels of the target transaction path and a power transmission network loss rate corresponding to each section of cross-region channel;
subtracting the transmission network loss rate from 1 to obtain the effective transmission rate of each section of the cross-regional channel;
and multiplying the effective power transmission rates of all the cross-zone channels to calculate and obtain the conversion parameters.
4. A method according to claim 3, wherein the obtaining the target intermediate conversion variable comprises:
aiming at any cross-zone channel, acquiring sub-conversion parameters and power transmission prices of the cross-zone channel;
multiplying the power transmission price and the sub-conversion parameters to obtain sub-intermediate conversion variables;
all sub-intermediate conversion variables are added to obtain the target intermediate conversion variable.
5. The method of claim 4, wherein the obtaining the cross-zone channel sub-conversion parameter comprises:
calculating the sub-effective power transmission rate from the supply node to the trans-regional channel;
multiplying the sub-effective power transmission rates from all the supply nodes to the cross-zone channel to calculate and obtain the cross-zone channel sub-conversion parameters.
6. The method of any of claims 2-5, wherein the determining a second declared price for the supply node based on the conversion parameter and the first declared price comprises:
multiplying the first declaration price and the conversion parameter, and subtracting the product from a target intermediate conversion variable to calculate and obtain the second declaration price.
7. The method of claim 1, wherein obtaining a first declared price for the usage node based on the electricity usage data comprises:
acquiring all historical power transmission prices of the using nodes in the power consumption data;
the first declared price is determined based on the historical transmission price.
8. An electric power price acquisition device, characterized by comprising:
the acquisition module is used for acquiring electricity utilization data of the supply node and the use node to be predicted;
the calling module is used for acquiring a target transaction path of the power transmission from the supply node to the using node based on the power consumption data and a first declaration price of the using node;
a determining module configured to calculate a conversion parameter based on the target transaction path, and determine a second declaration price of the supply node based on the conversion parameter and the first declaration price;
and the formulating module is used for determining a target power transmission price based on the first declaration price and the second declaration price.
9. An electronic device, comprising a memory and a processor;
wherein the processor runs a program corresponding to executable program code stored in the memory by reading the executable program code for implementing the method according to any one of claims 1-7.
10. A computer readable storage medium having stored therein computer executable instructions which when executed by a processor are adapted to carry out the method of any one of claims 1-7.
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