CN117096862A

CN117096862A - Method and device for determining electricity price subsidy and nonvolatile storage medium

Info

Publication number: CN117096862A
Application number: CN202311056032.9A
Authority: CN
Inventors: 孔维政; 吴恒天; 吴潇雨; 刘卫东; 张涛; 孙华忠
Original assignee: State Grid Energy Research Institute Co Ltd; Weifang Power Supply Co of State Grid Shandong Electric Power Co Ltd
Current assignee: State Grid Energy Research Institute Co Ltd; Weifang Power Supply Co of State Grid Shandong Electric Power Co Ltd
Priority date: 2023-08-21
Filing date: 2023-08-21
Publication date: 2023-11-21

Abstract

The invention discloses a method and a device for determining electricity price subsidy and a nonvolatile storage medium. Wherein the method comprises the following steps: determining a target area to be subjected to power grid construction, and collecting regional information and predicted maximum power consumption of the target area; determining a first unit electricity cost of power supply of the power grid based on the region information and the expected maximum electricity consumption; determining a power supply compensation quantity of an energy internet, wherein the energy internet is to be built in a target area and is used for being combined with a power grid to supply power for the target area; determining a second unit electricity consumption cost of the combined power supply of the power grid and the energy Internet based on the power supply compensation quantity and the expected maximum power consumption; the target electricity price is determined based on the first unit electricity cost and the second unit electricity cost. The invention solves the technical problem of non-ideal electricity price setting accuracy in the related technology.

Description

Method and device for determining electricity price subsidy and nonvolatile storage medium

Technical Field

The invention relates to the technical field of energy, in particular to a method and a device for determining electricity price subsidy and a nonvolatile storage medium.

Background

The facility agriculture and agricultural industry are emerging in rural areas, so that the electricity consumption is greatly increased. And rural power grids have low investment due to historical reasons, so that the reliability of power supply is poor. In order to ensure the modern agricultural power, the investment of rural power grid infrastructure must be increased. However, the rural area has low electricity load rate and less total electricity consumption, so that the unit electricity investment cost of rural power transmission and distribution facilities is too high, the rural power transmission and distribution facilities investment cannot be effectively recovered, and the rural power transmission and distribution facilities investment must be relatively dependent on cross electricity price subsidy. In the related technology, the advantage of building the energy Internet in rural areas is not considered, the rural areas can utilize convenient natural environment conditions, and the power supply of the power grid can be compensated by means of new energy to generate electricity and store energy. Thus, there is a problem in that the electricity rate setting is inaccurate in the related art.

In view of the above problems, no effective solution has been proposed at present.

Disclosure of Invention

The embodiment of the invention provides a method and a device for determining electricity price subsidies and a nonvolatile storage medium, which at least solve the technical problem of non-ideal electricity price setting accuracy in the related technology.

According to an aspect of the embodiment of the present invention, there is provided an electricity price patch determination method including: determining a target area to be subjected to power grid construction, and collecting regional information and predicted maximum power consumption of the target area; determining a first unit electricity cost of the power grid power supply based on the region information and the expected maximum electricity consumption; determining a power supply compensation quantity of an energy internet, wherein the energy internet is to be built in the target area and is used for being combined with the power grid to supply power for the target area; determining a second unit electricity cost of the combined power supply of the power grid and the energy internet based on the power supply compensation amount and the expected maximum power consumption amount; a target electricity price is determined based on the first unit electricity cost and the second unit electricity cost.

Optionally, collecting the expected maximum power consumption of the target area includes: determining other areas indicated by the region information and the historical maximum power consumption of the other areas in a historical period, wherein the other areas are different areas which are positioned in the same region with the target area; acquiring the existing required electricity consumption of the target area; and obtaining the estimated maximum power consumption according to the maximum historical power consumption and the maximum power consumption.

Optionally, the determining the first unit electricity cost of the grid power supply based on the regional information and the estimated maximum electricity consumption includes: determining the power transmission length indicated by the region information; determining a first power transmission and transformation line capacity for the target area based on the estimated maximum power consumption; determining a first cost of performing the grid construction for the target area based on the power transmission length and the first power transmission and transformation line capacity; and determining the first unit electricity consumption cost according to the first cost and the expected total electric quantity in the service life of power transmission and transformation equipment of the power grid.

Optionally, the determining the power supply compensation amount of the energy internet includes: under the condition that the energy Internet comprises a new energy power generation sub-network and a distributed energy storage sub-network, determining the generated energy corresponding to the new energy power generation sub-network and the energy storage corresponding to the distributed energy storage sub-network; and determining the power supply compensation amount based on the generated energy and the stored energy.

Optionally, the new energy power generation sub-network comprises at least one of the following: a photovoltaic power generation sub-network, a wind power generation sub-network; the distributed energy storage sub-network comprises at least one of the following components: the system comprises a battery energy storage sub-network, a capacitor sub-energy storage network and an agricultural machine energy storage sub-network.

Optionally, the determining, based on the power supply compensation amount and the expected maximum power consumption amount, a second unit power consumption cost of the combined power supply of the power grid and the energy internet includes: compensating the predicted maximum power consumption by adopting the power supply compensation quantity to obtain compensated predicted maximum power consumption, wherein the compensated predicted maximum power consumption is smaller than the predicted maximum power consumption; determining a second power transmission and transformation line capacity for the target area based on the compensated estimated maximum power consumption; determining a second cost for performing the power grid construction on the target area based on a power transmission length and the second power transmission and transformation line capacity, wherein the power transmission length is indicated by the region information; and determining the second unit electricity consumption cost according to the second cost and the expected total electric quantity in the service life of the power transmission and transformation equipment of the power grid.

Optionally, the determining the second electricity usage cost according to the second cost and the expected total electric quantity in the life of the power transmission and transformation equipment of the electric network includes: determining a third cost of the energy internet construction for the target area; and determining the second unit electricity consumption cost according to the second cost, the third cost and the expected total electric quantity in the life of the power transmission and transformation equipment of the power grid.

Optionally, the determining the target electricity price based on the first unit electricity cost and the second unit electricity cost includes: determining a difference between the first unit electricity cost and the second unit electricity cost; correcting a preset initial cross electricity price patch value by adopting the difference value to obtain a target cross electricity price patch value, so that the target cross electricity price patch value is smaller than the initial cross electricity price patch value; and obtaining the target electricity price based on the target cross electricity price subsidy value.

According to another aspect of the embodiment of the present invention, there is provided an electricity price patch determination apparatus including: the first determining module is used for determining a target area to be subjected to power grid construction and collecting regional information and predicted maximum power consumption of the target area; the first calculation module is used for determining first unit electricity consumption cost of the power grid power supply based on the region information and the expected maximum electricity consumption; the second determining module is used for determining the power supply compensation quantity of the energy internet, wherein the energy internet is to be built in the target area and is used for being combined with the power grid to supply power for the target area; the second calculation module is used for determining second unit electricity consumption cost of the power grid and the energy Internet combined power supply based on the power supply compensation quantity and the expected maximum power consumption; and the third determining module is used for determining a target electricity price based on the first unit electricity cost and the second unit electricity cost and is used for carrying out power supply processing on the target area according to the target electricity price.

Optionally, the first determining module includes: a fourth determining module, configured to determine other areas indicated by the region information, and a historical maximum power consumption of the other areas in a historical period, where the other areas are different areas located in the same region as the target area; the first acquisition module is used for acquiring the existing required electricity consumption of the target area; and the third calculation module is used for obtaining the predicted maximum power consumption according to the maximum historical power consumption and the maximum required power consumption.

Optionally, the first computing module includes: a fifth determining module configured to determine a power transmission length indicated by the region information; a fourth calculation module, configured to determine a first power transmission and transformation line capacity for the target area based on the estimated maximum power consumption; a fifth calculation module configured to determine a first cost of performing the grid construction for the target area based on the power transmission length and the first power transmission and transformation line capacity; and a sixth calculation module, configured to determine the first unit electricity cost according to the first cost and an expected total electric quantity within a lifetime of power transmission and transformation equipment of the power grid.

Optionally, the second determining module includes: the electric quantity determining module is used for determining the generated energy corresponding to the new energy power generation sub-network and the energy storage corresponding to the distributed energy storage sub-network under the condition that the new energy power generation sub-network and the distributed energy storage sub-network are included in the energy internet; and the compensation determining module is used for determining the power supply compensation amount based on the generated energy and the stored energy.

Optionally, the second computing module includes: the compensation calculation module is used for compensating the predicted maximum power consumption by adopting the power supply compensation quantity to obtain the compensated predicted maximum power consumption, wherein the compensated predicted maximum power consumption is smaller than the predicted maximum power consumption; a sixth determining module, configured to determine a second power transmission and transformation line capacity for the target area based on the compensated estimated maximum power consumption; a sixth calculation module, configured to determine a second cost of performing the power grid construction on the target area based on a power transmission length and the second power transmission and transformation line capacity, where the power transmission length is indicated by the region information; and a seventh calculation module, configured to determine the second unit electricity consumption cost according to the second cost and an expected total electric quantity in a life of power transmission and transformation equipment of the power grid.

Optionally, the seventh calculation module includes: a seventh determining module, configured to determine a third cost of performing the energy internet construction on the target area; and an eighth calculation module, configured to determine the second unit electricity cost according to the second cost, the third cost, and an expected total electric quantity in a life of power transmission and transformation equipment of the power grid.

Optionally, the third determining module includes: the difference value determining module is used for determining a difference value between the first unit electricity consumption cost and the second unit electricity consumption cost; the electricity price correction module is used for correcting a preset initial cross electricity price patch value by adopting the difference value to obtain a target cross electricity price patch value, so that the target cross electricity price patch value is smaller than the initial cross electricity price patch value; and the second acquisition module is used for obtaining the target electricity price based on the target cross electricity price subsidy value.

According to another aspect of the embodiments of the present invention, there is provided a nonvolatile storage medium storing a plurality of instructions adapted to be loaded by a processor and to perform any one of the electricity price patch determination methods.

In the embodiment of the application, a target area to be subjected to power grid construction is determined, and regional information and the expected maximum power consumption of the target area are acquired; determining a first unit electricity cost of the power grid power supply based on the region information and the expected maximum electricity consumption; determining a power supply compensation quantity of an energy internet, wherein the energy internet is to be built in the target area and is used for being combined with the power grid to supply power for the target area; determining a second unit electricity cost of the combined power supply of the power grid and the energy internet based on the power supply compensation amount and the expected maximum power consumption amount; a target electricity price is determined based on the first unit electricity cost and the second unit electricity cost. The method achieves the purposes of power supply compensation based on rural energy Internet, reducing crossed electricity price subsidy in electricity price setting, and achieving the technical effect of improving the accuracy of electricity price setting, thereby solving the technical problem of non-ideal electricity price setting in the related technology.

Drawings

The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute a limitation on the application. In the drawings:

FIG. 1 is a flow chart of an alternative electricity price patch determination method provided in accordance with an embodiment of the present invention;

fig. 2 is a schematic diagram of an alternative electricity price patch determination device provided according to an embodiment of the present invention.

Detailed Description

In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.

It should be noted that the terms "first," "second," and the like in the description and the claims and drawings of the present invention are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

For convenience of description, the following will describe some terms or terminology involved in the embodiments of the present application:

the energy Internet can be applied to rural areas, and means that scattered and fragmented energy resources in the rural areas are integrated and managed by means of information technology, internet of things technology and the like, so that efficient utilization and sharing of energy are realized. By constructing facilities such as new energy power generation, energy storage and the like, rural energy is monitored, scheduled and managed, optimal configuration and flexible scheduling of energy are realized, and energy utilization efficiency and energy supply reliability are improved.

Cross electricity rate subsidy (Cross-subsidy electricity tariff subsidy) refers to the electricity rate that is used in the electricity industry to subsidize other users or regions by charging them for electricity rates that are higher than the cost of electricity. The subsidy system aims at solving the problem that some users or areas cannot bear high-cost electricity prices. In some rural areas, the actual electricity price often cannot cover the power supply cost due to high infrastructure construction cost, small electricity consumption, low user payment capability and the like. In order to guarantee the electricity demand in rural areas, higher electricity prices are charged to urban or industrial users, and the obtained benefits are used for subsidizing the electricity prices of rural users.

In response to the problems, embodiments of the present invention provide a method embodiment of cross-price patch determination, it being noted that the steps illustrated in the flowchart of the figures may be performed in a computer system, such as a set of computer-executable instructions, and, although a logical order is illustrated in the flowchart, in some cases, the steps illustrated or described may be performed in an order other than that illustrated herein.

Fig. 1 is a flowchart of a cross electricity price patch determination method according to an embodiment of the present invention, as shown in fig. 1, the method including the steps of:

step S102, determining a target area to be subjected to power grid construction, and collecting regional information and predicted maximum power consumption of the target area;

it can be appreciated that the power grid construction is required in the target area, the current lack of power supply capability, and the geographical location and environmental factors of the target area affect the degree of difficulty in infrastructure for supplying power to the target area, so that the regional information of the target area and the required preset maximum power consumption need to be collected.

Alternatively, the target area may be a rural area.

In an alternative embodiment, the collection of the predicted maximum power usage of the target area includes: determining other areas indicated by the region information and historical maximum power consumption of the other areas in a historical period, wherein the other areas are different areas which are located in the same region as the target area; acquiring the existing required electricity consumption of a target area; and obtaining the expected maximum power consumption according to the maximum historical power consumption and the maximum power consumption required.

It can be understood that the estimated maximum power consumption can be determined by means of the historical maximum power consumption of other areas, and the power consumption condition of the other areas is instructive to the target area because the other areas are located in the same area as the target area, so that the historical maximum power consumption of the other areas in the historical period is determined, and the power grid to be built at least needs to have the capability of supporting the historical maximum power consumption. The target area may already have some electricity demand, and the required electricity consumption can be counted. The specific price is used for obtaining the required power consumption and the historical maximum power consumption, and obtaining the maximum power consumption of the required power consumption and the historical maximum power consumption, so that the power grid to be built has enough power supporting capacity, and the expected maximum power consumption is obtained.

It should be noted that, because different areas are often geographically close, and are affected by similar factors such as climate, environment, and economic development, the electricity requirements may have a certain similarity. The structural similarity of electricity demands, such as the proportion and the state of development of agriculture, industry, etc., will result in the electricity demands of different areas being relatively stable and having similarity in some respects. And the electric equipment types are similar, and in the same region, the electric equipment types in different regions can be similar, such as household electricity, agricultural electricity, public facility electricity and the like. The type and number of these consumers have a large impact on the power consumption, so the power consumption in different areas may have some similarity.

Optionally, the other areas may be areas with a larger similarity to the target area, and the historical maximum electricity consumption matched with the target area is obtained by adjusting the electricity consumption of the other areas according to the percentage of the electricity consumption of the other areas or according to population numbers. Statistical modeling methods, such as regression analysis, time series analysis, etc., may be used to further build a predictive model. By using the electricity consumption of the reference area as an independent variable, the electricity consumption of the target area is predicted, and related factors such as population, economic development level, seasonal variation and the like need to be considered, and a proper model is selected to predict, so that the predicted maximum electricity consumption is obtained based on the prediction.

Step S104, determining the first unit electricity consumption cost of power supply of the power grid based on the regional information and the expected maximum electricity consumption;

it can be understood that the regional information of the target area can represent the difficulty degree of power grid construction, the more difficult cost can be higher, the power grid needs to have the capability of covering the preset maximum power consumption of the target area, the larger the required capacity of the power transmission and transformation line in the power grid is, the cost can be correspondingly improved, and the first unit power consumption cost of power supply only by the power grid can be determined through processing.

In an alternative embodiment, determining a first electricity cost per unit of grid power based on the regional information and the projected maximum power usage includes: determining the power transmission length indicated by the region information; determining a first power transmission and transformation line capacity for a target area based on the estimated maximum power consumption; determining a first cost for performing power grid construction on the target area based on the power transmission length and the first power transmission and transformation line capacity; and determining the first unit electricity consumption cost according to the first cost and the expected total electric quantity in the service life of the power transmission and transformation equipment of the power grid.

It can be appreciated that the regional information of the target area may indicate a power transmission length thereof, and the first power transmission and transformation line capacity of the target area may be determined according to a predetermined maximum power consumption representing a maximum demand. For the target area, there may be problems of complex geographical environment, population dispersion, long power supply distance, incomplete infrastructure and the like, and the cost is higher than that of towns, and the first cost for constructing the power grid of the target area needs to be determined based on the power transmission length and the first power transmission and transformation line capacity. And determining the first unit electricity consumption cost according to the first cost and the expected total electric quantity in the service life of the power transmission and transformation equipment of the power grid.

Optionally, the ratio of the first cost to the expected total power is a first cost per unit of electricity.

It should be noted that, the target area may be in a complex terrain, a lot of mountainous and hilly areas, and the difficulty of laying the electric wires is large, so that a great deal of engineering such as terrain trimming and climbing is required, and the construction difficulty and cost are increased. The population of the target area is dispersed, the number of household points is large, the coverage of the power grid is wide, a large number of power transmission and distribution lines and equipment are required to be paved, the line length and the equipment number are increased, and the manufacturing cost is further increased. The power supply distance is generally longer, the power transmission loss is larger, the section of the power transmission line is required to be increased, so that the power supply quality is ensured, and the line cost is increased. There may be relatively weak infrastructure, and the construction of the power transmission and distribution facilities requires simultaneous road construction, bridge construction, etc., and the construction cost of these infrastructure is also taken into account in the construction cost of the power facilities. The periodic maintenance is required for the power equipment to ensure stable and safe power utilization, and the rural areas have wide regions, so that the cost for maintaining and managing the power facilities is high, including the cost of inspection, maintenance, equipment replacement and the like, and the cost is reflected in the first cost for carrying out power grid construction.

Step S106, determining a power supply compensation quantity of an energy internet, wherein the energy internet is to be built in a target area and is used for being combined with a power grid to supply power for the target area;

it is understood that the energy internet is used for cooperatively supplying power with the power grid in the target area, and the power supply compensation amount of the energy internet is determined, so that the electric quantity obtained from the power grid can be characterized to be reduced.

Optionally, the energy internet can realize cooperative power supply among different energy systems. When the target area and the power grid are used for cooperatively supplying power, the intelligent energy management system can be used for monitoring, controlling and optimizing the energy supply of the target area. And monitoring the energy production and consumption conditions in real time, and carrying out energy scheduling according to the requirements so as to keep balance between energy supply and requirements.

Optionally, the energy internet may establish a bidirectional power circulation mechanism between the target area and the grid in addition to supplementing the power supplied by the grid to the target area. When the energy source of the target area is insufficient, electric energy can be obtained from the power grid for supplementing, and when the energy source of the target area exceeds the demand, the redundant electric energy can be transmitted to the power grid.

In an alternative embodiment, determining the power supply compensation amount of the energy internet includes: under the condition that the energy Internet comprises a new energy power generation sub-network and a distributed energy storage sub-network, determining the generated energy corresponding to the new energy power generation sub-network and the energy storage corresponding to the distributed energy storage sub-network; and determining the power supply compensation amount based on the generated energy and the stored energy.

It can be understood that the energy internet can comprise a sub-network with two different functions of power generation and energy storage, and under the condition that the energy internet comprises a new energy power generation sub-network and a distributed energy storage sub-network, the power generation amount corresponding to the new energy power generation sub-network and the energy storage amount corresponding to the distributed energy storage sub-network can be determined, and the power supply compensation amount provided by the whole energy internet can be determined by balancing the power generation amount and the energy storage amount.

In an alternative embodiment, the new energy generation sub-network includes at least one of: a photovoltaic power generation sub-network, a wind power generation sub-network; the distributed energy storage sub-network comprises at least one of the following components: the system comprises a battery energy storage sub-network, a capacitor sub-energy storage network and an agricultural machine energy storage sub-network.

It is understood that the new energy power generation sub-network may be a photovoltaic power generation sub-network, and/or a wind power generation sub-network, the distributed energy storage sub-network may be a battery energy storage sub-network, and/or a capacitor sub-energy storage sub-network, and/or an agricultural machine energy storage sub-network.

It should be noted that, in the energy internet, the new energy power generation sub-network and the distributed energy storage sub-network may be used to perform peak shifting and valley filling. And building a photovoltaic power generation sub-network in a rural area, and converting solar energy into electric energy by utilizing a solar photovoltaic module. The photovoltaic modules can be distributed in farmlands, agricultural houses, agricultural greenhouses and the like, and power generation is performed by using wide land resources in rural areas. The wind power generation sub-network can be set in the same way. Because the new energy power generation has periodical change, the photovoltaic power generation sub-network is matched with the distributed energy storage sub-network, and the electric energy generated by the photovoltaic power generation and the wind power generation in the daytime can be stored for use in the evening or in a low-load period. And in rural areas, part of agricultural machinery, such as an electric tractor, can be used as an energy storage device. When the agricultural machine is not in need of use, it may be connected to an energy storage system, storing the stored electrical energy in the battery of the electric tractor. When electricity is needed, the electric tractor can be connected to a power grid or other electric equipment, and the stored electric energy is released through the inverter for power supply.

Optionally, centralized dispatching and control of the photovoltaic power generation sub-network, the wind power generation sub-network, the battery energy storage sub-network, the capacitor sub-energy storage network and the agricultural machinery energy storage sub-network can be realized through the intelligent energy management system. According to the load of the power grid or the peak-valley condition of electricity price, stored electric energy can be released in the peak period, the electricity demand is met, and meanwhile, the load of the power grid is reduced. In the valley period, the distributed energy storage sub-network can be utilized for charging, and the charging source can be a new energy power generation sub-network so as to be used in the next peak period. The energy can be effectively utilized, the supply and demand balance is optimized, and the energy use efficiency of the energy Internet and the electric energy use efficiency in the power grid are promoted.

Step S108, determining second unit electricity consumption cost of combined power supply of the power grid and the energy Internet based on the power supply compensation quantity and the expected maximum power consumption;

it can be understood that the second unit electricity consumption cost can be determined according to the power supply compensation amount and the predicted maximum electricity consumption amount, and because the second unit electricity consumption cost is that the power grid and the energy internet are mutually matched to supply power, the electric energy obtained from the power grid is relatively less, the construction cost requirement on the power transmission and transformation line is reduced, and the second unit electricity consumption cost can be lower than the first unit electricity consumption cost.

In an alternative embodiment, determining a second cost per unit of electricity for the combined power grid and energy internet based on the amount of power compensation and the projected maximum amount of power usage, comprises: compensating the predicted maximum power consumption by adopting a power supply compensation amount to obtain the compensated predicted maximum power consumption, wherein the compensated predicted maximum power consumption is smaller than the predicted maximum power consumption; determining a second power transmission and transformation line capacity of the target area based on the compensated estimated maximum power consumption; determining a second cost for performing power grid construction on the target area based on the power transmission length and the second power transmission and transformation line capacity, wherein the power transmission length is obtained by indicating regional information; and determining the second unit electricity consumption cost according to the second cost and the expected total electric quantity in the service life of the power transmission and transformation equipment of the power grid.

It will be appreciated that the estimated maximum power usage provided by the grid alone, after being compensated by the power supply compensation amount, will be reduced compared to before compensation, and the second power transmission and transformation line capacity to the target area is determined using the compensated estimated maximum power usage. The capacity of the second power transmission and transformation line is reduced due to the reduction of the estimated maximum power consumption after compensation, and the construction cost of corresponding power transmission and transformation facilities is reduced. A second cost of grid construction for the target area may be determined based on the power delivery length and the second power transmission and transformation line capacity. It should be noted that the second cost may be lower than the first cost, and the second unit electricity cost may be obtained according to the second cost and the expected total electric quantity in the life of the power transmission and transformation device of the electric network.

Optionally, the ratio of the second cost to the expected total power is the second cost per unit of electricity.

In an alternative embodiment, determining the second cost per unit of electricity based on the second cost and the expected total amount of electricity over the life of the power transmission and transformation device of the electrical grid includes: determining a third cost for constructing the energy Internet of the target area; and determining the second unit electricity consumption cost according to the second cost, the third cost and the expected total electric quantity in the service life of the power transmission and transformation equipment of the electric network.

It will be appreciated that assuming that the target area is not where the energy internet is to be built, in order to avoid setting the target electricity price to be low, a third cost of building the energy internet is also required to be added, and the second electricity usage cost per unit is determined based on the second cost, the third cost, and the expected total amount of electricity.

Step S110, determining a target electricity price based on the first unit electricity cost and the second unit electricity cost.

It will be appreciated that the target electricity price may be determined based on the first unit electricity cost and the second unit electricity cost for indicating the power supply process to the target area.

In an alternative embodiment, determining the target electricity price based on the first unit electricity cost and the second unit electricity cost includes: determining a difference between the first unit electricity cost and the second unit electricity cost; correcting the preset initial cross electricity price patch value by adopting the difference value to obtain a target cross electricity price patch value, so that the target cross electricity price patch value is smaller than the initial cross electricity price patch value; and obtaining the target electricity price based on the target cross electricity price subsidy value.

It can be understood that the first unit electricity cost is greater than the second unit electricity cost, and the difference is obtained by subtracting the second unit electricity cost from the first unit electricity cost, where the difference can be regarded as a decrease amount of the predetermined initial cross electricity price patch value, so as to obtain the target cross electricity price patch value. And determining the target electricity price of the target area by adopting the obtained target cross electricity price subsidy value.

Through the steps S102 to S110, the purposes of power supply compensation based on rural energy Internet and cross electricity price patch reduction in electricity price setting can be achieved, the technical effect of improving the accuracy of electricity price setting is achieved, and the technical problem of non-ideal electricity price setting in the related technology is solved.

Based on the embodiment and the optional embodiment, the invention provides an optional implementation mode, which specifically comprises the following steps:

step S1, power grid construction is needed in a target area, the capacity of a first power transmission and transformation line of the target area is determined according to the expected maximum power consumption, and the first cost for power grid construction of the target area is determined according to the first power transmission and transformation capacity and the power transmission length.

And S2, determining the expected total electric quantity in the service life of power transmission and transformation equipment of the power grid, and further obtaining the ratio of the first cost to the expected total electric quantity as the first unit electricity consumption cost.

And S3, the rural area can utilize convenient natural environment conditions, and power supply of the power grid can be compensated by means of new energy source power generation and energy storage. The energy internet is used for carrying out cooperative power supply together with the power grid in the target area, and the power supply compensation quantity of the energy internet is determined. And according to the power supply compensation quantity and the estimated maximum power consumption, the estimated maximum power consumption after compensation can be determined. And determining a second cost for power grid construction of the target area based on the power transmission length and the second power transmission and transformation line capacity. The energy internet comprises a photovoltaic power generation sub-network, a battery energy storage sub-network and an agricultural machinery energy storage sub-network.

In step S4, the ratio of the second cost to the expected total power is the second cost per unit power consumption, and the second cost is lower than the first cost.

And S5, subtracting the second unit electricity cost from the first unit electricity cost to obtain a difference value, and reducing the preset initial cross electricity price subsidy value by the difference value to obtain a target cross electricity price subsidy value to obtain a target electricity price for the target area.

At least the following effects are achieved by alternative embodiments: the utility model has the advantages of through measuring the unit electricity cost around the construction energy internet, can effectively reduce the electric wire netting construction subsidy to rural area for set up more accurate to the price of electricity in this area, also improved the clean energy utilization in strengthening rural area simultaneously, improved the cleanness, autonomy, the reliability of energy consumption.

It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer executable instructions, and that although a logical order is illustrated in the flowcharts, in some cases the steps illustrated or described may be performed in an order other than that illustrated herein.

In this embodiment, an electricity price patch determining device is further provided, and the device is used for implementing the embodiment and the preferred embodiment, and is not described in detail. As used below, the terms "module," "apparatus" may be a combination of software and/or hardware that implements a predetermined function. While the means described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware, is also possible and contemplated.

According to an embodiment of the present invention, there is further provided an apparatus embodiment for implementing an electricity price patch determination method, and fig. 2 is a schematic diagram of an electricity price patch determination apparatus according to an embodiment of the present invention, as shown in fig. 2, including: the first determination module 202, the first calculation module 204, the second determination module 206, the second calculation module 208, and the third determination module 210 are described below.

The first determining module 202 is configured to determine a target area to be subjected to power grid construction, and collect regional information of the target area and an estimated maximum power consumption;

the first calculation module 204 is connected to the first determination module 202, and is configured to determine a first unit electricity cost of power supply of the power grid based on the regional information and the estimated maximum electricity consumption;

the second determining module 206 is connected to the first calculating module 204, and is configured to determine a power supply compensation amount of the energy internet, where the energy internet is to be built in the target area, and is configured to be combined with the power grid to supply power to the target area;

a second calculation module 208, coupled to the second determination module 206, for determining a second unit electricity cost for the combined power grid and energy internet based on the power supply compensation amount and the predicted maximum power consumption amount;

a third determination module 210 is coupled to the second calculation module 208 for determining a target electricity price based on the first unit electricity cost and the second unit electricity cost.

In the electricity price subsidy determining device provided by the embodiment of the invention, a first determining module is used for determining a target area to be subjected to power grid construction and collecting regional information of the target area and the estimated maximum electricity consumption; the first calculation module is used for determining the first unit electricity cost of power supply of the power grid based on the region information and the expected maximum electricity consumption; the second determining module is used for determining the power supply compensation quantity of the energy Internet, wherein the energy Internet is to be built in the target area and is used for being combined with the power grid to supply power for the target area; the second calculation module is used for determining second unit electricity consumption cost of combined power supply of the power grid and the energy Internet based on the power supply compensation quantity and the expected maximum power consumption; and the third determining module is used for determining the target electricity price based on the first unit electricity consumption cost and the second unit electricity consumption cost. The method achieves the purpose of power supply compensation based on rural energy Internet and reducing crossed electricity price subsidy in electricity price setting, and further solves the technical problem of non-ideal electricity price setting accuracy in the related technology.

As an optional embodiment, the electricity price patch determining device provided in the embodiment of the present invention, the first determining module includes: a fourth determining module, configured to determine other areas indicated by the region information, and a historical maximum power consumption of the other areas in a historical period, where the other areas are different areas located in the same region as the target area; the first acquisition module is used for acquiring the required electricity consumption of the target area; and the third calculation module is used for obtaining the predicted maximum power consumption according to the maximum historical power consumption and the maximum required power consumption.

As an optional embodiment, the electricity price patch determining apparatus provided in the embodiment of the present invention, the first calculating module includes: a fifth determining module configured to determine a power transmission length indicated by the region information; a fourth calculation module, configured to determine a first power transmission and transformation line capacity for the target area based on the estimated maximum power consumption; a fifth calculation module configured to determine a first cost of performing the grid construction for the target area based on the power transmission length and the first power transmission and transformation line capacity; and the sixth calculation module is used for determining the first unit electricity consumption cost according to the first cost and the expected total electric quantity in the service life of the power transmission and transformation equipment of the power grid.

As an optional embodiment, the electricity price patch determining device provided in the embodiment of the present invention, the second determining module includes: the electric quantity determining module is used for determining the generated energy corresponding to the new energy power generation sub-network and the energy storage corresponding to the distributed energy storage sub-network under the condition that the new energy power generation sub-network and the distributed energy storage sub-network are included in the energy internet; and the compensation determining module is used for determining the power supply compensation amount based on the generated energy and the stored energy.

As an optional embodiment, the electricity price patch determining apparatus provided in the embodiment of the present invention, the second calculating module includes: the compensation calculation module is used for compensating the predicted maximum power consumption by adopting the power supply compensation quantity to obtain the compensated predicted maximum power consumption, wherein the compensated predicted maximum power consumption is smaller than the predicted maximum power consumption; a sixth determining module, configured to determine a second power transmission and transformation line capacity for the target area based on the compensated estimated maximum power consumption; a sixth calculation module configured to determine a second cost for performing the power grid construction on the target area based on a power transmission length and the second power transmission and transformation line capacity, where the power transmission length is indicated by the region information; and a seventh calculation module, configured to determine the second unit electricity consumption cost according to the second cost and an expected total electric quantity in a life of the power transmission and transformation device of the power grid.

As an optional embodiment, the electricity price patch determining apparatus provided in the embodiment of the present invention, the seventh calculating module includes: a seventh determining module, configured to determine a third cost of performing the energy internet construction on the target area; and an eighth calculation module, configured to determine the second unit electricity cost according to the second cost, the third cost, and an expected total power consumption during a lifetime of the power transmission and transformation device of the power grid.

As an optional embodiment, the electricity price patch determining device provided in the embodiment of the present invention, the third determining module includes: the difference value determining module is used for determining a difference value between the first unit electricity consumption cost and the second unit electricity consumption cost; the electricity price correction module is used for correcting a preset initial cross electricity price patch value by adopting the difference value to obtain a target cross electricity price patch value, so that the target cross electricity price patch value is smaller than the initial cross electricity price patch value; and the second acquisition module is used for obtaining the target electricity price based on the target cross electricity price subsidy value.

It should be noted that each module may be implemented by software or hardware, for example, in the latter case, it may be implemented by: the various modules may be located in the same processor; alternatively, the individual modules may be located in different processors in any combination.

It should be noted that, the first determining module 202, the first calculating module 204, the second determining module 206, the second calculating module 208, and the third determining module 210 correspond to steps S102 to S110 in the embodiment, and the modules are the same as the examples and application scenarios implemented by the corresponding steps, but are not limited to the disclosure of the embodiment. It should be noted that the module may be run in a computer terminal as part of the apparatus.

It should be noted that, the optional or preferred implementation manner of this embodiment may be referred to the related description in the embodiment, and will not be repeated herein.

The electricity price subsidy determining apparatus may further include a processor and a memory, wherein the first determining module 202, the first calculating module 204, the second determining module 206, the second calculating module 208, the third determining module 210, and the like are all stored as program units in the memory, and the processor executes the program units stored in the memory to implement the corresponding functions.

The processor includes a kernel, and the kernel fetches the corresponding program unit from the memory. The kernel may be provided with one or more. The memory may include volatile memory, random Access Memory (RAM), and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM), among other forms in computer readable media, the memory including at least one memory chip.

The embodiment of the invention provides a nonvolatile storage medium, on which a program is stored, which when executed by a processor, implements an electricity price subsidy determination method.

The embodiment of the invention provides an electronic device, which comprises a processor, a memory and a program stored on the memory and capable of running on the processor, wherein the following steps are realized when the processor executes the program: determining a target area to be subjected to power grid construction, and collecting regional information and predicted maximum power consumption of the target area; determining a first unit electricity cost of power supply of the power grid based on the region information and the expected maximum electricity consumption; determining a power supply compensation quantity of an energy internet, wherein the energy internet is to be built in a target area and is used for being combined with a power grid to supply power for the target area; determining a second unit electricity consumption cost of the combined power supply of the power grid and the energy Internet based on the power supply compensation quantity and the expected maximum power consumption; the target electricity price is determined based on the first unit electricity cost and the second unit electricity cost. The device herein may be a server, a PC, etc.

The invention also provides a computer program product adapted to perform, when executed on a data processing device, a program initialized with the method steps of: determining a target area to be subjected to power grid construction, and collecting regional information and predicted maximum power consumption of the target area; determining a first unit electricity cost of power supply of the power grid based on the region information and the expected maximum electricity consumption; determining a power supply compensation quantity of an energy internet, wherein the energy internet is to be built in a target area and is used for being combined with a power grid to supply power for the target area; determining a second unit electricity consumption cost of the combined power supply of the power grid and the energy Internet based on the power supply compensation quantity and the expected maximum power consumption; the target electricity price is determined based on the first unit electricity cost and the second unit electricity cost.

It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, etc., such as Read Only Memory (ROM) or flash RAM. Memory is an example of a computer-readable medium.

Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.

It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises an element.

The foregoing is merely exemplary of the present invention and is not intended to limit the present invention. Various modifications and variations of the present invention will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. which come within the spirit and principles of the invention are to be included in the scope of the claims of the present invention.

Claims

1. An electricity price subsidy determining method, characterized by comprising:

determining a target area to be subjected to power grid construction, and collecting regional information and predicted maximum power consumption of the target area;

determining a first unit electricity cost of the power grid power supply based on the region information and the expected maximum electricity consumption;

Determining a power supply compensation quantity of an energy internet, wherein the energy internet is to be built in the target area and is used for being combined with the power grid to supply power for the target area;

determining a second unit electricity cost of the combined power supply of the power grid and the energy internet based on the power supply compensation amount and the expected maximum power consumption amount;

and determining a target electricity price area based on the first unit electricity consumption cost and the second unit electricity consumption cost.

2. The method of claim 1, wherein collecting the projected maximum power usage of the target area comprises:

determining other areas indicated by the region information and the historical maximum power consumption of the other areas in a historical period, wherein the other areas are different areas which are positioned in the same region with the target area;

acquiring the existing required electricity consumption of the target area;

and obtaining the estimated maximum power consumption according to the maximum historical power consumption and the maximum power consumption.

3. The method of claim 1, wherein the determining a first cost of electricity per unit of the grid power based on the regional information and the projected maximum power usage comprises:

Determining the power transmission length indicated by the region information;

determining a first power transmission and transformation line capacity for the target area based on the estimated maximum power consumption;

determining a first cost of performing the grid construction for the target area based on the power transmission length and the first power transmission and transformation line capacity;

and determining the first unit electricity consumption cost according to the first cost and the expected total electric quantity in the service life of power transmission and transformation equipment of the power grid.

4. The method of claim 1, wherein determining the amount of power compensation for the energy internet comprises:

under the condition that the energy Internet comprises a new energy power generation sub-network and a distributed energy storage sub-network, determining the generated energy corresponding to the new energy power generation sub-network and the energy storage corresponding to the distributed energy storage sub-network;

and determining the power supply compensation amount based on the generated energy and the stored energy.

5. The method of claim 4, wherein the step of determining the position of the first electrode is performed,

the new energy power generation sub-network comprises at least one of the following: a photovoltaic power generation sub-network, a wind power generation sub-network;

the distributed energy storage sub-network comprises at least one of the following components: the system comprises a battery energy storage sub-network, a capacitor sub-energy storage network and an agricultural machine energy storage sub-network.

6. The method of any one of claims 1 to 5, wherein said determining a second cost per unit of electricity for the combined power supply of the grid and the energy internet based on the power supply compensation amount and the projected maximum power usage amount comprises:

compensating the predicted maximum power consumption by adopting the power supply compensation quantity to obtain compensated predicted maximum power consumption, wherein the compensated predicted maximum power consumption is smaller than the predicted maximum power consumption;

determining a second power transmission and transformation line capacity for the target area based on the compensated estimated maximum power consumption;

determining a second cost for performing the power grid construction on the target area based on a power transmission length and the second power transmission and transformation line capacity, wherein the power transmission length is indicated by the region information;

and determining the second unit electricity consumption cost according to the second cost and the expected total electric quantity in the service life of the power transmission and transformation equipment of the power grid.

7. The method of claim 6, wherein determining the second cost per unit of electricity based on the second cost and an expected total amount of electricity over a life of a power transmission and transformation device of the electrical grid comprises:

Determining a third cost of the energy internet construction for the target area;

and determining the second unit electricity consumption cost according to the second cost, the third cost and the expected total electric quantity in the life of the power transmission and transformation equipment of the power grid.

8. The method of any one of claims 1 to 5, wherein the determining a target electricity price based on the first unit electricity cost and the second unit electricity cost comprises:

determining a difference between the first unit electricity cost and the second unit electricity cost;

correcting a preset initial cross electricity price patch value by adopting the difference value to obtain a target cross electricity price patch value, so that the target cross electricity price patch value is smaller than the initial cross electricity price patch value;

and obtaining the target electricity price based on the target cross electricity price subsidy value.

9. An electricity price subsidy determining device, characterized by comprising:

the first determining module is used for determining a target area to be subjected to power grid construction and collecting regional information and predicted maximum power consumption of the target area;

the first calculation module is used for determining first unit electricity consumption cost of the power grid power supply based on the region information and the expected maximum electricity consumption;

The second determining module is used for determining the power supply compensation quantity of the energy internet, wherein the energy internet is to be built in the target area and is used for being combined with the power grid to supply power for the target area;

the second calculation module is used for determining second unit electricity consumption cost of the power grid and the energy Internet combined power supply based on the power supply compensation quantity and the expected maximum power consumption;

and the third determining module is used for determining a target electricity price area based on the first unit electricity consumption cost and the second unit electricity consumption cost.

10. The apparatus of claim 9, wherein the first determining module comprises:

a fourth determining module, configured to determine other areas indicated by the region information, and a historical maximum power consumption of the other areas in a historical period, where the other areas are different areas located in the same region as the target area;

the first acquisition module is used for acquiring the existing required electricity consumption of the target area;

and the third calculation module is used for obtaining the predicted maximum power consumption according to the maximum historical power consumption and the maximum required power consumption.

11. The apparatus of claim 9, wherein the first computing module comprises:

a fifth determining module configured to determine a power transmission length indicated by the region information;

a fourth calculation module, configured to determine a first power transmission and transformation line capacity for the target area based on the estimated maximum power consumption;

a fifth calculation module configured to determine a first cost of performing the grid construction for the target area based on the power transmission length and the first power transmission and transformation line capacity;

and a sixth calculation module, configured to determine the first unit electricity cost according to the first cost and an expected total electric quantity within a lifetime of power transmission and transformation equipment of the power grid.

12. The apparatus of claim 9, wherein the second determining module comprises:

the electric quantity determining module is used for determining the generated energy corresponding to the new energy power generation sub-network and the energy storage corresponding to the distributed energy storage sub-network under the condition that the new energy power generation sub-network and the distributed energy storage sub-network are included in the energy internet;

and the compensation determining module is used for determining the power supply compensation amount based on the generated energy and the stored energy.

13. The apparatus of any one of claims 9 to 12, wherein the second computing module comprises:

the compensation calculation module is used for compensating the predicted maximum power consumption by adopting the power supply compensation quantity to obtain the compensated predicted maximum power consumption, wherein the compensated predicted maximum power consumption is smaller than the predicted maximum power consumption;

a sixth determining module, configured to determine a second power transmission and transformation line capacity for the target area based on the compensated estimated maximum power consumption;

a sixth calculation module, configured to determine a second cost of performing the power grid construction on the target area based on a power transmission length and the second power transmission and transformation line capacity, where the power transmission length is indicated by the region information;

and a seventh calculation module, configured to determine the second unit electricity consumption cost according to the second cost and an expected total electric quantity in a life of power transmission and transformation equipment of the power grid.

14. The apparatus of claim 13, wherein the seventh computing module comprises:

a seventh determining module, configured to determine a third cost of performing the energy internet construction on the target area;

And an eighth calculation module, configured to determine the second unit electricity cost according to the second cost, the third cost, and an expected total electric quantity in a life of power transmission and transformation equipment of the power grid.

15. The apparatus according to any one of claims 9 to 12, wherein the third determining module comprises:

the difference value determining module is used for determining a difference value between the first unit electricity consumption cost and the second unit electricity consumption cost;

the electricity price correction module is used for correcting a preset initial cross electricity price patch value by adopting the difference value to obtain a target cross electricity price patch value, so that the target cross electricity price patch value is smaller than the initial cross electricity price patch value;

and the second acquisition module is used for obtaining the target electricity price based on the target cross electricity price subsidy value.

16. A non-volatile storage medium storing a plurality of instructions adapted to be loaded by a processor and to perform the electricity price patch determination method of any one of claims 1 to 8.