CN115456346A - Method and device for determining electric charge pricing mode, electronic equipment and medium - Google Patents
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Abstract
The application relates to the field of data processing, in particular to a method, a device, electronic equipment and a medium for determining a pricing mode of electric charges, wherein the method comprises the steps of obtaining user data; determining an alternative declaration demand group based on the user data; determining contract demand cost corresponding to each alternative demand based on the alternative declaration demand group; determining the lowest contract demand cost according to the plurality of contract demand costs; acquiring declared transformer data, and obtaining capacity cost according to the declared transformer data; acquiring actual power demand, and determining actual demand cost according to the actual power demand; comparing the minimum contract demand cost, the capacity cost and the actual demand cost to determine the optimal cost; and determining the electric charge pricing mode corresponding to the optimal charge as the optimal electric charge pricing mode. The method and the device have the effects of optimizing and selecting the electric charge pricing mode and further reducing the electric charge expenditure of enterprises.
Description
Technical Field
The present disclosure relates to the field of data processing, and in particular, to a method and an apparatus for determining a pricing method of electricity charges, an electronic device, and a medium.
Background
The household electricity consumption of residents is needed for daily life, and value is not generated through electricity consumption, and the large-scale industrial electricity consumption can be used for generating value, so that the payment mode of the large-scale industrial electricity consumption is different from that of the resident electricity consumption. The large industrial electricity fee includes four types: the method comprises the following steps of basic electric charge, electric power degree electric charge, power regulation electric charge and water conservancy basic regulation electric charge, wherein the basic electric charge is the electric charge which is fixedly paid to a power grid company by a large industrial power utilization enterprise every month, and the electric charge is paid to a national power grid even if the enterprise does not consume any electric power in the current month.
The basic electricity fee payment modes are divided into three types, including capacity payment, namely declared transformer capacity charging; paying according to the declared demand; paying the fee according to the actual demand, namely, charging according to the demand in the actual use process. Although the payment unit price is low according to the transformer capacity, the base number of the general transformer is large, so that the basic electricity fee can not be saved only by the transformer capacity, and the payment mode needs to be reasonably selected by combining the electricity demand of an enterprise to save the expenditure of the electricity fee of the enterprise. Because the scales of enterprises are different, the corresponding electricity demand of each enterprise is also different, so that not all enterprises are suitable for paying according to capacity or paying according to demand, and how to reasonably select the basic electricity fee paying mode is very critical for reducing the electricity fee expenditure of enterprises and the production cost of enterprises.
Disclosure of Invention
In order to optimize and select the electric charge pricing method and further reduce the electric charge expense of enterprises, the application provides a method, a device, electronic equipment and a medium for determining the electric charge pricing method.
In a first aspect, the present application provides a method for determining an electricity charge pricing manner, which adopts the following technical scheme:
a method for determining the charging mode of electric charge comprises the following steps:
acquiring user data;
determining an alternative declaration demand group based on the user data;
determining contract demand cost corresponding to each alternative demand based on the alternative declaration demand group;
determining the lowest contract demand cost according to the plurality of contract demand costs;
acquiring declared transformer data, and acquiring capacity cost according to the declared transformer data;
acquiring actual power demand, and determining actual demand cost according to the actual power demand;
comparing the minimum contract demand cost, the capacity cost and the actual demand cost to determine an optimal cost;
and determining the electric charge pricing mode corresponding to the optimal charge as the optimal electric charge pricing mode.
By adopting the technical scheme, the alternative declaration demand group is determined according to the acquired user data, wherein the alternative declaration demand group comprises a plurality of declaration demands, the contract demand cost corresponding to each declaration demand is determined according to the corresponding contract demand pricing formula, the lowest contract demand cost is determined from the plurality of contract demand costs, the declaration transformer data and the actual power demand are acquired, the corresponding capacity cost is obtained based on the transformer data, the corresponding actual demand cost is obtained, the optimal cost among the lowest contract demand cost, the capacity cost and the actual demand cost is determined, the power cost pricing mode corresponding to the optimal cost is determined as the optimal power cost pricing mode, and the optimal power cost pricing mode is selected to help to reduce the power cost of enterprises.
In one possible implementation, the determining the alternative set of declaration requirements based on the user data includes:
acquiring initial user demand within a plurality of preset time lengths;
sequencing the demand of the plurality of initial users to form a demand sequence;
and determining an alternative declaration demand group according to the demand sequence.
By adopting the technical scheme, the initial user demands in a plurality of preset time lengths are obtained, the initial user demands are sequenced to form a demand sequence, the alternative declared demand group is determined from the demand sequence, and the accuracy of determining the declared demand is improved by determining the declared demand from the alternative declared demand group.
In one possible implementation manner, the determining the alternative declaration demand group according to the demand sequence includes:
calculating the demand mode of the demand sequence according to the demand sequence;
calculating the average quantity of the demand sequence according to the demand sequence;
calculating the maximum demand value of the demand sequence according to the demand sequence;
the demand mode, the demand average and the demand maximum form an alternative declaration demand group.
By adopting the technical scheme, the demand mode, the demand average and the demand maximum corresponding to the demand sequence are respectively calculated through the demand sequence, the alternative declaration demand group is formed, and the accuracy of determining the declaration demand is improved through a plurality of alternative declaration demands.
In one possible implementation manner, the method further includes:
if the optimal electricity charge pricing method is a contract demand pricing method, determining the alternative declaration demand corresponding to the lowest contract cost as a target declaration demand;
and sending the target declaration demand to terminal equipment so that the enterprise declares to a power grid according to the target declaration demand.
By adopting the technical scheme, when the optimal electricity fee pricing mode is the contract demand pricing, the corresponding alternative declaration demand is determined according to the lowest contract cost, and the alternative declaration demand is sent to the terminal equipment, so that the relevant working personnel can conveniently record the alternative declaration demand and declare to the power grid according to the declaration demand.
In one possible implementation manner, the method further includes:
extracting the production order information of each time from a historical database;
determining the next cycle of production order information according to the previous production order information;
comparing the next cycle production order information with the current year production order information to obtain a production order difference value;
and determining the difference working time according to the production order difference and the historical working efficiency, and determining the difference demand of the difference working time.
By adopting the technical scheme, the historical production order information is extracted from the historical database, the next cycle production order information is predicted according to the historical production order information, the predicted next cycle production order information is compared with the current cycle production order information to obtain a production order difference, the difference working time is determined according to the production order difference and the historical working efficiency, the difference demand corresponding to the difference working time is further obtained, and the accuracy in determining the electricity fee pricing mode is improved based on the difference demand.
In a possible implementation manner, after the extracting the historical production order information from the historical database, the method further includes:
according to the previous production order information, determining the predicted demand of each month power consumption in the next period;
comparing the preset monthly power consumption demand with the predicted monthly power consumption demand of the next period, and determining a light month, wherein the light month is a month in which the predicted monthly power consumption demand of the next period is lower than the preset monthly power consumption demand;
and carrying out stop and report adjustment on the capacity of the transformer according to the power consumption demand corresponding to the light month.
By adopting the technical scheme, the power consumption demand of each month in the past is determined through the past production order information, the power consumption demand of each month in the next past is predicted according to the power consumption demand of each month in the past, the power consumption demand is compared with the power consumption demand of each month in the next period according to the preset power consumption demand, a light month is determined, and the power consumption demand corresponding to the light month is used for carrying out stop-reporting adjustment on the capacity of the transformer, so that the power consumption demand consumption is reduced conveniently, and the expenditure of power charges is reduced.
In one possible implementation manner, the method further comprises the following steps:
acquiring the next period of power consumption demand corresponding to the optimal power fee pricing mode;
according to the next period of power consumption demand, a monthly power consumption limit value is set;
and when the monthly actual power consumption exceeds the monthly power consumption limit value, generating a warning signal, and pushing the warning signal to user related equipment, so that the user can adjust the power consumption in time.
By adopting the technical scheme, after the electricity demand of the next period is determined by the optimal electricity fee pricing method, the monthly electricity utilization limit value is worked out according to the electricity demand of the next period, the warning information is generated when the actual monthly electricity utilization demand exceeds the monthly electricity utilization limit value, and the generated warning information is sent to the terminal equipment of the related user, so that the related user can conveniently adjust the electricity utilization condition in time, the probability that the electricity demand exceeds the monthly limit value is reduced, and the expenditure of the electricity fee is further reduced.
In a second aspect, the present application provides an electric charge pricing method determining apparatus, which adopts the following technical solutions:
an electricity charge pricing means determining device, comprising:
the acquisition module is used for acquiring user data;
an alternative determination module, configured to determine an alternative declaration demand group based on the user data;
a contract cost determining module for determining the contract demand cost corresponding to each alternative demand based on the alternative declaration demand group;
the minimum contract cost determining module is used for determining the minimum contract demand cost according to a plurality of contract costs;
the capacity charge determining module is used for analyzing the user data to obtain declared transformer data and obtaining capacity charge according to the declared transformer data;
the actual demand cost determining module is used for analyzing the user data to obtain actual power consumption demand and determining actual demand cost according to the actual power consumption demand;
a best cost determining module for comparing the minimum contract demand cost, the capacity cost and the actual demand cost to determine a best cost;
and the pricing determining mode module is used for determining the electric charge pricing mode corresponding to the optimal charge as the optimal electric charge pricing mode.
By adopting the technical scheme, the alternative declaration demand group is determined according to the acquired user data, wherein the alternative declaration demand group comprises a plurality of declaration demands, the contract demand cost corresponding to each declaration demand is determined according to the corresponding contract demand pricing formula, the lowest contract demand cost is determined from the plurality of contract demand costs, the declaration transformer data and the actual power demand are obtained by analyzing the user data, the corresponding capacity cost is obtained based on the transformer data, the corresponding actual demand cost is obtained based on the actual power demand, the optimal cost among the lowest contract demand cost, the capacity cost and the actual demand cost is determined, the power charge pricing mode corresponding to the optimal cost is determined as the optimal power charge pricing mode, and the optimal power charge pricing mode is selected to help to reduce the power charge of enterprises.
In a third aspect, the present application provides an electronic device, which adopts the following technical solutions:
an electronic device, comprising:
at least one processor;
a memory;
at least one application, wherein the at least one application is stored in the memory and configured to be executed by the at least one processor, the at least one application configured to: the method for determining the electric charge pricing method is executed.
In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solutions:
a computer-readable storage medium, comprising: a computer program that can be loaded by a processor and executes the above-described electricity fee charging manner determination method is stored.
In summary, the present application includes at least one of the following beneficial technical effects:
determining an alternative declared demand group according to the acquired user data, wherein the alternative declared demand group comprises a plurality of declared demands, determining contract demand cost corresponding to each declared demand according to a corresponding contract demand pricing formula, determining the lowest contract demand cost from the plurality of contract demand costs, obtaining corresponding capacity cost based on transformer data and corresponding actual demand cost by obtaining declared transformer data and actual power demand, and finally determining the best cost from the lowest contract demand cost, capacity cost and actual demand cost, determining the power cost pricing mode corresponding to the best cost as the best power cost pricing mode, and optimizing the power cost pricing mode to select the best power cost pricing mode to help reduce the power cost of enterprises.
Drawings
Fig. 1 is a schematic flow chart of a method for determining a pricing method of electric charges in an embodiment of the present application;
fig. 2 is a schematic structural diagram of an electric charge pricing means determining device in an embodiment of the present application;
fig. 3 is a schematic structural diagram of an electronic device in an embodiment of the present application.
Detailed Description
The present application is described in further detail below with reference to figures 1-3.
A person skilled in the art, after reading the present specification, may make modifications to the present embodiments as necessary without inventive contribution, but only within the scope of the claims of the present application are protected by patent laws.
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without making any creative effort belong to the protection scope of the present application.
The charge mode of the large-scale industrial power consumption is different from that of the resident power consumption, and particularly, the large-scale industrial power consumption comprises four parts: the method comprises the following steps of basic electric charge, electric power charge, power regulation electric charge and water conservancy basic regulation electric charge, wherein the basic electric charge is the electric charge which is fixedly paid to a power grid company by an enterprise every month, the electric charge is paid to a national power grid even if the enterprise does not consume any electric power in the current month, and the basic electric charge can be understood as fixed capacity occupation charge. When basic electric charge payment is carried out, three modes are available:
the method I is based on the capacity pricing, namely based on the reported transformer capacity and the basic electricity charge capacity unit price;
the second mode is that the price is calculated according to the contract demand, namely, the user provides a declaration demand value of a demand unit price to the power grid, when the actual demand of the user exceeds 105 percent of the declaration demand value, the excess part is charged according to one time of the demand unit price, and the 105 percent part of the declaration value of the non-excess part is charged according to the demand unit price;
and thirdly, pricing according to the actual demand, namely, according to the actual produced demand per unit price.
Generally, the unit price of the capacity is far lower than that of the demand, but the charging mode of the capacity and the electricity fee is not applicable to all enterprises, for example, in the case of beijing area, the unit price of the capacity is 32 yuan/kilovolt ampere, and the unit price of the demand is 48 yuan/kilowatt, so that it is more appropriate to select to apply the basic electricity fee according to the demand when the load of the enterprise is below 32/48=66% according to the unit price of the capacity, and conversely, it is more appropriate to select to apply the basic electricity fee according to the capacity when the load is above 66%. If the basic electric charge needs to be declared to the power grid every month according to the contract demand, the actual demand value is higher than the declared demand value, and the excessive payment risk of the electric charge is easily caused. Example (c): the capacity of a transformer of a company in Beijing is 1000 kilovolt-ampere, the unit price of the capacity is 32 yuan/kilovolt-ampere, the unit price of the demand is 48 yuan/kilowatt, the enterprise pays 32000 yuan of basic electric charge per month according to the capacity, if the reported demand is 400KW and the actual electric demand is 600KW, the basic electric charge is 400% 105% 48+ (600-400% 105%) 48 2=37440 yuan, and the basic electric charge is paid 37440-32000=5440 yuan more than the basic electric charge paid according to the capacity.
Therefore, in order to optimally select the electricity charge pricing method and further reduce the electricity charge expense of the enterprise, in the implementation of the application, an alternative declaration demand group is determined according to the acquired user data, wherein the alternative declaration demand group comprises a plurality of declaration demands, the contract demand cost corresponding to each declaration demand is determined according to a corresponding contract demand pricing formula, the lowest contract demand cost is determined from the plurality of contract demand costs, the declaration transformer data and the actual electricity demand are acquired, the corresponding capacity cost is obtained based on the transformer data, the corresponding actual demand cost is acquired, the optimal cost among the lowest contract demand cost, the capacity cost and the actual demand cost is finally determined, the electricity charge pricing method corresponding to the optimal cost is determined as the optimal electricity charge pricing method, and the optimal electricity charge pricing method is selected according to the optimal electricity charge pricing method, so that the optimal electricity charge pricing method is selected and is favorable for reducing the electricity charge of the enterprise.
Specifically, the embodiment of the application provides a method for selecting an electricity price payment mode, which is executed by an electronic device, wherein the electronic device may be a server or a terminal device, the server may be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, or a cloud server providing cloud computing services. The terminal device may be a smart phone, a tablet computer, a notebook computer, a desktop computer, and the like, but is not limited thereto, and the terminal device and the server may be directly or indirectly connected through wired or wireless communication, and the embodiment of the present application is not limited thereto.
Referring to fig. 1, fig. 1 is a schematic flowchart of a method for determining a pricing method of electricity charges in an embodiment of the present application, where the method includes step S110, step S120, step S130, step S140, step S150, step S160, step S170, and step S180, where:
step S110: user data is acquired.
The user data comprise user three-phase voltage and current, and the user data can be acquired by the data acquisition equipment for the three-phase voltage and the three-phase current in the operation process of the transformer and are transmitted to the electronic equipment.
Step S120: based on the user data, a set of alternative reporting requirements is determined.
Step S130: and determining contract demand cost corresponding to each alternative demand based on the alternative declared demand group.
Specifically, the demand is the average power of the enterprise transformer in the using process, and the demand value can be calculated according to the three-phase voltage and current in the user data. The reporting demand group comprises a plurality of reporting demand values, wherein the reporting demand is the reporting demand provided by the user to the power grid when the contract demand pricing payment mode is selected. The reporting demand is determined through a plurality of demand values, the selection mode of the reporting demand is facilitated to be optimized, and the expenditure of the enterprise electric charge is reduced through the reporting demand.
Step S140: and determining the minimum contract demand cost according to the plurality of contract demand costs.
Specifically, the plurality of calculated contract demand costs are compared to obtain the lowest contract demand cost, and when the lowest contract demand cost is determined from the plurality of contract demand costs, the lowest contract demand cost is determined according to the sequencing result by sequencing the plurality of contract demand costs in the sequence from high to low or in the sequence from high to low.
Step S150: acquiring declared transformer data, and obtaining capacity cost according to the declared transformer data.
Specifically, the transformer reporting data may be manually input, or may be extracted from user data submitted by a user, where the transformer reporting data includes the number of transformers reported by an enterprise and the capacity of each transformer. And importing the reported transformer data into a capacity-based pricing formula to obtain capacity cost, wherein the capacity pricing formula is as follows: reported transformer capacity is the unit price of basic electricity charge, reported transformer capacity = reported number of transformers and capacity of each transformer. In the embodiment of the present application, the capacity of each transformer is fixed by default.
Step S160: and acquiring the actual power demand, and determining the actual demand cost according to the actual power demand.
Specifically, the actual power demand may be manually input or extracted through user data, where the actual power demand is an accumulation of actual power demand per month. The calculation mode of the actual demand pricing is as follows: actual demand value generated per month-demand unit price.
Step S170: the minimum contract demand charge, capacity charge, and actual demand charge are compared to determine the optimal charge.
Step S180: and determining the electric charge pricing mode corresponding to the optimal charge as the optimal electric charge pricing mode.
Specifically, the electric charge pricing mode corresponding to the lowest contract demand charge is the pricing according to the contract demand; the electric charge pricing mode corresponding to the capacity charge is based on the capacity pricing; the electric charge pricing mode corresponding to the actual demand charge is based on the actual demand charge. The optimal cost is the lowest cost of the lowest contract demand cost, the capacity cost and the actual demand cost, and the optimal cost is adopted to select the optimal electricity charge pricing mode, so that the optimal user selection of the electricity charge pricing mode is facilitated, and the electricity charge expense of an enterprise is further reduced.
In the embodiment of the application, an alternative declaration demand group is determined according to acquired user data, wherein the alternative declaration demand group comprises a plurality of declaration demands, a contract demand cost corresponding to each declaration demand is determined according to a corresponding contract demand pricing formula, the lowest contract demand cost is determined from the plurality of contract demand costs, the declaration transformer data and the actual power demand are acquired, the corresponding capacity cost is obtained based on the transformer data, the corresponding actual demand cost is acquired, the optimal cost among the lowest contract demand cost, the capacity cost and the actual demand cost is determined, the power cost pricing mode corresponding to the optimal cost is determined as the optimal power cost pricing mode, and the optimal power cost pricing mode is selected to help to reduce the power cost of an enterprise in a mode of optimally selecting the power cost pricing.
Further, in step S120, based on the user data, determining the alternative declaration demand group may specifically include: step S1201 (not shown in the drawings), step S1202 (not shown in the drawings), step S1203 (not shown in the drawings), in which:
step S1201: and acquiring the initial user demand in a plurality of preset time lengths.
Specifically, the initial user demand is obtained by calculating user data within a preset time, the preset time can be modified according to the user demand, the preset time can be one week, one month, or one quarter, and is not specifically limited in the embodiment of the present application. When the preset duration is one month, the obtained multiple initial user demands are used for representing the user demand of each month, and then the user demand of the whole year is analyzed through the multiple initial user demands.
Step S1202: and sequencing the demand of the plurality of initial users to form a demand sequence.
Specifically, when sorting is performed according to a plurality of initial user demands, a bubble sorting method, a selection sorting method, and a hill sorting method may be used, where the bubble sorting method compares two adjacent elements in an array from a first element in the array including the plurality of initial user demands to a last element in the array, and if an element located at the left end of the array is larger than an element located at the right end of the array, the positions of the two elements in the array are exchanged, so that an element at the rightmost end of the array after the operation is the maximum value of all elements in the array, and then the same operation is performed on all remaining elements in the array except the element at the rightmost end until the entire array is ordered. In the embodiment of the present application, the specific sorting manner is not specifically limited, as long as a demand sequence can be formed according to the demands of a plurality of initial users.
Step S1203: and determining an alternative declaration demand group according to the demand sequence.
Specifically, the alternative reporting demand group comprises a plurality of reporting demands, the plurality of reporting demands comprise demand mode, demand average and demand maximum, and each reporting demand can represent the demand sequence condition.
In the embodiment of the application, the initial user demands in a plurality of preset time periods are obtained, the plurality of initial user demands are sequenced to form the demand sequence, the alternative declaration demand group is determined from the demand sequence, and the declaration demand is determined from the alternative declaration demand group, so that the accuracy of determining the declaration demand is improved.
Further, in step S1203, determining an alternative declaration demand group according to the demand sequence, which may specifically include: step S1203a (not shown in the drawings), step S1203b (not shown in the drawings), step S1203c (not shown in the drawings), and step S1203d (not shown in the drawings), wherein:
step S1203a: and calculating the demand mode of the demand sequence according to the demand sequence.
Specifically, the demand mode is a statistical term, and a value with a significant concentration trend point on a statistical distribution is used for a general level of the demand sequence. And if the demand sequence does not have the demand with the two times, the first demand in the default demand sequence is the demand mode.
Step S1203b: and calculating the average quantity of the demand sequence according to the demand sequence.
Specifically, the demand mean is used to reflect the central position of more concentration in the demand sequence, and is used to characterize the general level in the demand sequence, similar to the mode, unlike the demand mode, which is an element in the demand sequence, but the demand mean is not necessarily an element in the demand sequence.
Step S1203c: and calculating the maximum value of the demand sequence according to the demand sequence.
Step S1203d: and the demand mode, the demand average and the demand maximum form an alternative declaration demand group.
In particular, the demand maximum is used to characterize the limit of the demand sequence. The alternative declared demand group comprises a demand mode, a demand average and a demand maximum.
In the embodiment of the application, the demand mode, the demand average and the maximum of the demand corresponding to the demand sequence are respectively calculated through the demand sequence, an alternative declaration demand group is formed, and the accuracy of determining the declaration demand is improved through a plurality of alternative declaration demands.
Further, the embodiment of the present application further includes:
and if the optimal electricity charge pricing method is a contract demand pricing method, determining the alternative declaration demand corresponding to the lowest contract cost as the target declaration demand.
And sending the target declaration demand to terminal equipment so that the enterprise declares to the power grid according to the target declaration demand.
Specifically, when the contract demand pricing method is adopted to bill the electric charge, a target declaration demand needs to be provided for the power grid, the power grid plans a contract after receiving the target declaration demand provided by an enterprise, and when the electric charge pricing is carried out, the electric charge is charged according to the contract.
In the embodiment of the application, when the optimal power charge pricing mode is the pricing of the contract demand, the corresponding alternative declaration demand is determined according to the lowest contract cost, and the alternative declaration demand is sent to the terminal equipment, so that the relevant working personnel can conveniently record the alternative declaration demand and declare the alternative declaration demand to the power grid according to the declaration demand.
Further, in order to optimize the method for selecting the electricity charge pricing, the embodiment of the present application further includes a step Sa (not shown in the drawings), a step Sb (not shown in the drawings), a step Sc (not shown in the drawings), and a step Sd (not shown in the drawings), wherein:
step Sa: historical production order information is extracted from a historical database.
Specifically, the historical database stores multiple historical production orders, and the production order information of each time can be extracted from the historical database according to the date.
Step Sb: and determining the next cycle of production order information according to the previous production order information.
Specifically, the production order information of a plurality of calendar times is extracted from the historical database to obtain a plurality of months and the production order information corresponding to each month, the plurality of months and the corresponding production order information are led into a preset coordinate system to obtain a line graph of the months and the production order information, and the production order information of the next period is determined according to the line graph.
Because the enterprise generally adopts a periodic system when signing a payment of the electric charge pricing method, the contract period can be three months or one year, and is not specifically limited in the embodiment of the application, the demand of the next period is generally predicted through historical data, and the electric charge pricing method is determined according to the demand of the next period.
Step Sc: and comparing the next-period production order information with the current-period production order information to obtain a production order difference value.
Step Sd: and determining the difference working time according to the difference of the production orders and the historical working efficiency, and determining the difference demand of the difference working time.
Specifically, the production order difference value is a difference value between the production order information of the next period and the production order information of the current period, the production difference value can be a positive value or a negative value, when the production difference value is a positive value, the production order information of the next period is higher than the production order information of the current period, and the production order information is in an ascending trend; when the production difference value is a negative value, the production order information of the next period is lower than that of the current period, and the production order information is in a descending trend.
The difference working time can be calculated through the historical working efficiency and the difference of the production orders.
The difference demand is the power demand required by the production difference, when the production difference is a positive value, the corresponding power demand is a positive value, and when the production difference is a negative value, the corresponding power demand is a negative value.
According to the embodiment of the application, historical production order information is extracted from a historical database, next cycle production order information is determined according to the historical production order information, the obtained next cycle production order information is compared with the current cycle production order information to obtain a production order difference, the difference working time is determined according to the production order difference and the historical working efficiency, then the difference demand corresponding to the difference working time is obtained, and the accuracy in determining the electricity charge pricing mode is improved based on the difference demand.
Further, after the step Sa of the embodiment of the present application extracts the historical production order information from the history database, the method further includes a step Sa1 (not shown in the drawings), a step Sa2 (not shown in the drawings), and a step Sa3 (not shown in the drawings), wherein:
step Sa1: according to the information of the production orders of the previous times, the predicted demand of electricity consumption of each month in the next period is determined;
specifically, when the predicted demand for electricity consumption of each month in the next period is determined according to the historical production order information, the historical production order information may be compared with the production order information of each month in the next period to generate an order ratio, and the predicted demand for electricity consumption of each month in the next period is determined according to the order ratio.
Step Sa2: comparing the preset monthly power consumption demand with the predicted monthly power consumption demand of the next period, and determining a light month, wherein the light month is a month in which the predicted monthly power consumption demand of the next period is lower than the preset monthly power consumption demand;
step Sa3: and carrying out stop reporting adjustment on the capacity of the transformer according to the power consumption demand corresponding to the light month.
Specifically, the light months are months in which the monthly power demand is lower than the preset monthly power demand, wherein the preset monthly power demand can be adjusted according to the demand, and the embodiment of the application is not specifically limited as long as the light months can be screened. The reason for the light month is related to the enterprise production order information.
For example, when the light month is determined to be 3 and 4 months according to the preset monthly power consumption demand, the light month in the next period is predicted to be 3 and 4 months, and in the next period of 3 and 4 months, the adjustment information is submitted to perform stop-and-report adjustment on the transformer capacity, so that the power consumption demand is reduced.
In the embodiment of the application, the power consumption demand of each month in the past is determined through the production order information of the past, the predicted demand of each month in the next period is determined according to the power consumption demand of each month in the past, the preset power consumption demand is compared with the predicted demand of each month in the next period to determine the light month, and the capacity of the transformer is reported and stopped through the power consumption demand corresponding to the light month, so that the power consumption demand consumption is reduced, and the expenditure of the power fee is further reduced.
Further, after the step S180 determines the electricity fee charging method corresponding to the optimal fee as the optimal electricity fee charging method, the method further includes a step S1 (not shown in the drawings), a step S2 (not shown in the drawings), and a step S3 (not shown in the drawings), wherein:
step S1: and acquiring the next period power consumption demand corresponding to the optimal power fee pricing mode.
Step S2: and (4) formulating a monthly power utilization limit value according to the power utilization demand of the next period.
And step S3: when the monthly actual power consumption demand exceeds the monthly power consumption limit value, a warning signal is generated and pushed to the relevant equipment of the user, so that the user can adjust the power consumption in time.
Specifically, after the optimal electricity fee pricing mode is determined, the periodic electricity consumption demand can be conveniently determined according to an electricity fee pricing formula. When the optimal electricity charge pricing method is pricing according to contract demand, the electricity demand of the next period can be determined according to the declared demand of the user to the power grid, the monthly electricity utilization limit value is set according to the electricity demand of the next period, as the part of the actual demand of the user exceeding 105% of the declared demand in the contract demand pricing formula is charged according to one time of the unit price of the demand, the monthly electricity utilization limit value needs to be set in the production process, and when the monthly actual electricity demand exceeds the monthly electricity utilization limit value, a warning signal is generated to reduce the probability that the electricity demand exceeds the monthly limit value.
In the embodiment of the application, after the electricity demand of the next period is determined through an optimal electricity fee pricing mode, a monthly electricity utilization limit value is made according to the electricity demand of the next period, when the actual monthly electricity utilization demand exceeds the monthly electricity utilization limit value, warning information is generated and sent to terminal equipment of related users, the related users can conveniently adjust electricity utilization conditions in time, the probability that the electricity demand exceeds the monthly limit value is reduced, and then the expenditure of electricity fees is reduced.
The above embodiment introduces a method for determining a pricing method of electric charges from the perspective of a method flow, and the following embodiment introduces a device for determining a pricing method of electric charges from the perspective of a virtual module or a virtual unit, which is described in detail in the following embodiment.
The embodiment of the present application provides a schematic structural diagram of an electric charge pricing method determining device, as shown in fig. 2, specifically, the structure may include: an obtaining module 210, an alternative determining module 220, a contract fee determining module 230, a minimum contract fee determining module 240, a capacity fee determining module 250, an actual demand fee determining module 260, an optimal fee determining module 270, and a pricing means determining module 280, wherein:
an obtaining module 210, configured to obtain user data;
an alternative determining module 220, configured to determine an alternative declaration demand group based on the user data;
a contract fee determining module 230, configured to determine, based on the candidate declared demand group, a contract demand fee corresponding to each candidate demand;
a determine lowest contract cost module 240 for determining a lowest contract demand cost based on the plurality of contract demand costs;
a capacity charge determining module 250, configured to obtain declared transformer data and obtain a capacity charge according to the declared transformer data;
a determine actual demand cost module 260, configured to obtain actual power demand, and determine actual demand cost according to the actual power demand;
an optimal cost determination module 270 for comparing the minimum contract demand cost, the capacity cost, and the actual demand cost to determine an optimal cost;
and a pricing method determining module 280 for determining the pricing method of the electric charge corresponding to the optimal charge as the optimal pricing method of the electric charge.
In one possible implementation, the alternative determining module 220 includes:
the device comprises an initial user demand acquisition unit, a processing unit and a display unit, wherein the initial user demand acquisition unit is used for acquiring initial user demands in a plurality of preset time lengths;
the sequencing unit is used for sequencing the demand of the plurality of initial users to form a demand sequence;
and the alternative group determining unit is used for determining an alternative declaration demand group according to the demand sequence.
In one possible implementation, determining the candidate group element includes:
the determining mode subunit is used for calculating the demand mode of the demand sequence according to the demand sequence;
the average number subunit is used for calculating the average number of the demand sequence according to the demand sequence;
a maximum value determining subunit, configured to calculate a maximum value of the demand sequence according to the demand sequence;
and determining an alternative group subunit, wherein the alternative group subunit is used for forming an alternative declaration demand group by the demand mode, the demand average and the demand maximum.
In one possible implementation manner, the method further includes:
the target declaration demand determining module is used for determining the alternative declaration demand corresponding to the lowest contract cost as the target declaration demand if the optimal power charge pricing mode is a contract demand pricing method;
and the sending module is used for sending the target declaration demand to the terminal equipment so that the enterprise declares the power grid according to the target declaration demand.
In one possible implementation manner, the method further comprises the following steps:
the order information extracting module is used for extracting the order information of the previous production from the historical database;
the order information determining module is used for determining the next cycle production order information according to the previous production order information;
the comparison module is used for comparing the production order information of the next period with the production order information of the current year to obtain a production order difference value;
and the difference determining module is used for determining the difference working time according to the production order difference and the historical working efficiency and determining the difference demand of the difference working time.
In one possible implementation manner, the method further includes:
the monthly power utilization demand forecasting module is used for determining the monthly power utilization forecast demand of the next period according to the previous production order information;
the determining light month module is used for comparing the preset monthly power utilization demand with the predicted demand of each month power utilization in the next period and determining light months, wherein the light months are months in which the predicted demand of each month power utilization in the next period is lower than the preset monthly power utilization demand;
and the volume reduction adjusting module is used for reporting and stopping the transformer volume according to the power consumption demand corresponding to the light month.
In one possible implementation manner, the method further includes:
the module for acquiring annual power consumption demand is used for acquiring the next period power consumption demand corresponding to the optimal power fee pricing mode;
the limit value making module is used for making a monthly power utilization limit value according to the power utilization demand of the next period;
and the warning signal generation module is used for generating a warning signal when the monthly actual power consumption exceeds the monthly power consumption limit value, and pushing the warning signal to user related equipment, so that the user can conveniently adjust the power consumption condition in time.
In an embodiment of the present application, an electronic device is provided, as shown in fig. 3, an electronic device 300 shown in fig. 3 includes: a processor 301 and a memory 303. Wherein processor 301 is coupled to memory 303, such as via bus 302. Optionally, the electronic device 300 may also include a transceiver 304. It should be noted that the transceiver 304 is not limited to one in practical applications, and the structure of the electronic device 300 is not limited to the embodiment of the present application.
The Processor 301 may be a CPU (Central Processing Unit), a general-purpose Processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other Programmable logic device, a transistor logic device, a hardware component, or any combination thereof. Which may implement or perform the various illustrative logical blocks, modules, and circuits described in connection with the disclosure. The processor 301 may also be a combination of computing functions, e.g., comprising one or more microprocessors in combination, a DSP and a microprocessor in combination, or the like.
The Memory 303 may be a ROM (Read Only Memory) or other type of static storage device that can store static information and instructions, a RAM (Random Access Memory) or other type of dynamic storage device that can store information and instructions, an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical Disc storage, optical Disc storage (including Compact Disc, laser Disc, optical Disc, digital versatile Disc, blu-ray Disc, etc.), a magnetic Disc storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited to these.
The memory 303 is used for storing application program codes for executing the scheme of the application, and the processor 301 controls the execution. The processor 301 is configured to execute application program code stored in the memory 303 to implement the aspects illustrated in the foregoing method embodiments.
Among them, electronic devices include but are not limited to: mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and the like, and fixed terminals such as digital TVs, desktop computers, and the like. But also a server, etc. The electronic device shown in fig. 3 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
The present application provides a computer-readable storage medium, on which a computer program is stored, which, when running on a computer, enables the computer to execute the corresponding content in the foregoing method embodiments. Compared with the related art, the alternative declaration demand group is determined according to the acquired user data, wherein the alternative declaration demand group comprises a plurality of declaration demands, the contract demand cost corresponding to each declaration demand is determined according to the corresponding contract demand pricing formula, the lowest contract demand cost is determined from the plurality of contract demand costs, then declaration transformer data and actual power consumption demand are obtained through analysis from the user data, the corresponding capacity cost is obtained based on the transformer data, the corresponding actual demand cost is obtained based on the actual power consumption demand, the best cost among the lowest demand cost, the capacity cost and the actual demand cost is finally determined, the power charge pricing mode corresponding to the best cost is determined as the best power charge pricing mode, and the best power charge pricing mode is selected to help to reduce the power charge of enterprises.
It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and may be performed in other orders unless explicitly stated herein. Moreover, at least a portion of the steps in the flow chart of the figure may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed alternately or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
The foregoing is only a partial embodiment of the present application, and it should be noted that, for those skilled in the art, several modifications and decorations can be made without departing from the principle of the present application, and these modifications and decorations should also be regarded as the protection scope of the present application.
Claims (10)
1. A method for determining a pricing method of an electric charge is characterized by comprising the following steps:
acquiring user data;
determining an alternative declaration demand group based on the user data;
determining contract demand cost corresponding to each alternative demand based on the alternative declaration demand group;
determining the lowest contract demand cost according to the plurality of contract demand costs;
acquiring declared transformer data, and acquiring capacity cost according to the declared transformer data;
acquiring actual power demand, and determining actual demand cost according to the actual power demand;
comparing the minimum contract demand charge, the capacity charge and the actual demand charge to determine an optimal charge;
and determining the electric charge pricing mode corresponding to the optimal charge as the optimal electric charge pricing mode.
2. The method for determining the pricing method of electric charge according to claim 1, wherein the determining the alternative declaration demand group based on the user data includes:
acquiring initial user demand within a plurality of preset time lengths;
sequencing the demand of the plurality of initial users to form a demand sequence;
and determining an alternative declaration demand group according to the demand sequence.
3. The method for determining the pricing manner of electric charge according to claim 2, wherein the determining the alternative declaration demand group according to the demand sequence includes:
calculating the demand mode of the demand sequence according to the demand sequence;
calculating the average quantity of the demand sequence according to the demand sequence;
calculating the maximum demand value of the demand sequence according to the demand sequence;
the demand mode, the demand average and the demand maximum form an alternative declaration demand group.
4. The method for determining a pricing means of electricity charges according to claim 1, further comprising:
if the optimal electricity charge pricing method is a contract demand pricing method, determining the alternative declaration demand corresponding to the lowest contract cost as a target declaration demand;
and sending the target declaration demand to terminal equipment so that the enterprise declares to the power grid according to the target declaration demand.
5. The method for determining a pricing means of electricity charges according to claim 1, further comprising:
extracting the production order information of each time from a historical database;
determining the next cycle of production order information according to the previous production order information;
comparing the next-period production order information with the current-year production order information to obtain a production order difference value;
and determining the difference working time according to the production order difference and the historical working efficiency, and determining the difference demand of the difference working time.
6. The method as claimed in claim 5, further comprising, after extracting the historical production order information from the historical database:
according to the previous production order information, determining the predicted demand of each month power consumption in the next period;
comparing the preset monthly power consumption demand with the predicted monthly power consumption demand of the next period, and determining a light month, wherein the light month is a month in which the predicted monthly power consumption demand of the next period is lower than the preset monthly power consumption demand;
and carrying out stop and report adjustment on the capacity of the transformer according to the power consumption demand corresponding to the light month.
7. The method for determining the electricity charge pricing method according to claim 1, wherein after determining the electricity charge pricing method corresponding to the optimal charge as the optimal electricity charge pricing method, further comprising:
acquiring the next period of power consumption demand corresponding to the optimal power fee pricing mode;
according to the next period of power consumption demand, a monthly power consumption limit value is set;
and when the monthly actual power consumption exceeds the monthly power consumption limit value, generating a warning signal, and pushing the warning signal to user related equipment, so that the user can adjust the power consumption in time.
8. An electric charge pricing method determining device, comprising:
the acquisition module is used for acquiring user data;
an alternative determination module, configured to determine an alternative declaration demand group based on the user data;
a contract cost determining module for determining the contract demand cost corresponding to each alternative demand based on the alternative declaration demand group;
the minimum contract cost determining module is used for determining the minimum contract demand cost according to a plurality of contract costs;
the capacity charge determining module is used for acquiring declared transformer data and obtaining capacity charge according to the declared transformer data;
the system comprises a module for determining actual demand cost, a module for determining actual demand cost and a module for determining actual demand cost, wherein the module is used for acquiring actual power demand and determining actual demand cost according to the actual power demand;
a best cost determining module for comparing the minimum contract demand cost, the capacity cost and the actual demand cost to determine a best cost;
and the pricing determining mode module is used for determining the electric charge pricing mode corresponding to the optimal charge as the optimal electric charge pricing mode.
9. An electronic device, comprising:
at least one processor;
a memory;
at least one application, wherein the at least one application is stored in the memory and configured to be executed by the at least one processor, the at least one application configured to: performing the method of determining the electricity fee charging manner as set forth in any one of claims 1 to 7.
10. A computer-readable storage medium, comprising: a computer program which can be loaded by a processor and which performs the method according to any of claims 1-7.
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