Power grid multiple development target deduction method, system, device and storage medium

Abstract

This invention discloses a method, system, device, and storage medium for extrapolating multiple development goals of a power grid based on system dynamics, relating to the field of power grid technology. It includes constructing sub-models based on corresponding parameters, building a four-dimensional dynamic mapping evolutionary dynamic model based on multiple sub-models, extrapolating power grid development goals, and outputting the extrapolation results. This invention can take into account the mutual coupling and feedback characteristics of multiple factors affecting power grid development; it is not limited to a specific problem but considers the overall process of power grid development, enabling objective and in-depth analysis through scenario comparison, and better reflecting the path selection for specific future development; it fully considers the security, economic, environmental, and technical indicators of energy and electricity, and takes into account the gradual evolution of the external environment, realizing the extrapolation of multiple development goals of the power grid in the medium and long term. The entire operation is simple; only the corresponding parameters need to be input to quickly obtain the extrapolation results.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power grid, in particular to a power grid multiple development target deduction method, system, device and storage medium based on system dynamics. BACKGROUND

[0002] With the perfection of the power grid system, the uncertain factors affecting the investment decision and development of the power grid company are increasing. How to analyze the trend of economic, technical, and policy factors, and study the influence mechanism and transmission path of complex environmental factors on power grid development is a prerequisite for supporting scientific investment decision of the company. At present, the power system is transforming to a new type of power system with high proportion of renewable energy penetration, and the power grid development will also adapt to the requirements of the "double carbon target".

[0003] Under the current global consensus and trend of accelerating clean and low-carbon development in various industries and achieving carbon neutrality as soon as possible, the traditional research on power grid development targets usually has the following problems: most researchers mostly use mathematical programming methods, that is, traditional operational optimization ideas. These studies mostly focus on finding the optimal result for some specific engineering problems, ignoring the evolution process of the system. At the same time, the traditional optimization method is complex, requires a lot of manual operation, has poor intuitiveness, and is difficult to consider macroscopic system elements such as clean energy types, energy market subjects, economic development, social factors, and policy incentives.

[0004] In addition, the external environment of the power industry is facing unprecedented complexity and uncertainty, and it is necessary to comprehensively, systematically, and dynamically analyze the external environment, and at the same time, to research and judge the requirements of the external environment for the development of the power grid, and to study the dynamic evolution process of multiple targets to adapt to the requirements of the long-term development of the power grid. SUMMARY

[0005] The present application provides a power grid multiple development target deduction method based on system dynamics, which can alleviate the above problems.

[0006] In order to alleviate the above problems, the technical scheme adopted by the present application is as follows:

[0007] In the first aspect, the present application provides a power grid multiple development target deduction method based on system dynamics, comprising the following steps:

[0008] S1, constructing an energy security data model based on power grid energy parameters;

[0009] S2, constructing a power grid economic data model based on power grid economic parameters;

[0010] S3, constructing a power grid environmental protection data model based on power grid environmental protection parameters;

[0011] S4, constructing a power grid technology development data model based on the power grid technology parameters;

[0012] S5, constructing a four-dimensional dynamic mapping evolution dynamics model by using the energy security data model, the power grid economic data model, the power grid environmental protection data model and the power grid technology development data model;

[0013] S6, deducing the power grid development target by using the four-dimensional dynamic mapping evolution dynamics model, and outputting the deduction result.

[0014] In a preferred embodiment of the present application, the model formula of the energy security data model comprises:

[0015]

[0016]

[0017]

[0018]

[0019] γ a = α1ε wh (t) + α2δ pr (t) + α3δ dep (t) + α4ν con (t) + α5δ fos (t) + α6μ(t)

[0020] In the formula: Sj represents the installed capacity of the jth energy, j is 1-5, representing thermal power, nuclear power, hydropower, wind power and photovoltaic power respectively; CG εi (t) represents the newly installed capacity of different energies, c j is a positive real coefficient, Sj0 represents the initial value of the installed capacity of different energies at t0; pi represents the total power consumption, i is 1-4, representing the first industry, the second industry, the third industry and the residential electricity consumption respectively; i ei (t) represents the electricity consumption, e s ci (t) represents the power generation, c i , c s are fitting coefficients; Sj represents the power generation of the jth energy; τ j δj represents the average utilization hours of the jth energy; δ dep εj (t) represents the external dependence degree of energy; pi represents the total energy consumption; γi represents the primary energy production; γ aEnergy security index; a1, a2, a3, a4, a5, a6 are weight coefficients obtained by the Delphi method; μ(t) represents international market energy availability; ε wh (t) represents foreign exchange reserve index; δ pr (t) represents energy price fluctuation rate; v con (t) represents energy consumption growth rate; δ fos (t) represents proportion of fossil energy consumption.

[0021] In a preferred embodiment of the present application, the model formula of the power grid economic data model comprises:

[0022]

[0023]

[0024]

[0025] C net (t) = [R bus (t) - C bus (t)] · [1 - δ tax (t)]

[0026] In the formula, R represents total investment of the power grid; I sg (t) represents smart grid investment; I tu (t) represents technological transformation investment; I ic (t) represents capital construction investment; I oth (t) represents other investment; R tp (t) represents power transmission and distribution income; e tp (t) represents power transmission and distribution volume; represents average value of power transmission and distribution price; represents effective asset; represents incremental asset; represents retired asset; represents initial value of effective asset at t0; C net (t) represents net profit of the power grid company; R bus (t) represents power grid business income; C bus (t) represents power grid business cost; δ tax (t) represents income tax rate.

[0027] In a preferred embodiment of the present application, the model formula of the power grid environmental protection data model comprises:

[0028]

[0029]

[0030]

[0031]

[0032] In the formula: represents the total amount of GDP; r G (t) represents the growth rate of GDP; represents the initial value of GDP at t0; represents the total population; r P (t) represents the natural growth rate of population; represents the initial value of population at t0; represents the total amount of carbon emissions; represents the growth amount of carbon emissions; represents the reduction amount of carbon emissions; represents the initial value of carbon emissions at t0; represents the consumption amount of coal; represents the consumption amount of oil; represents the consumption amount of natural gas; η1, η2, and η3 represent the carbon emission coefficients of coal, oil, and natural gas, respectively.

[0033] In a preferred embodiment of the present application, the model formula of the power grid technology development data model comprises:

[0034]

[0035]

[0036]

[0037]

[0038] In the formula: represents the transmission capacity; l(t) represents the transmission distance; and V(t) represents the voltage level; respectively represent the unit resistance, the unit reactance, and the unit susceptance; σ is a positive real number coefficient; represents the change value of transmission capacity; represents the initial value of transmission capacity at t0; represents the power demand; S G2 (t) represents the output value of the secondary industry; represents the total electricity consumption of all industries; p fit (t) represents the average on-grid electricity price of power generation enterprises; I(t) represents the per capita income; ξ1, ξ2, ξ3, and ξ4 are weight coefficients obtained by the Delphi method, and the sum of them is 1; λ inte (t) represents the intelligent level; represents the investment amount of the smart grid; represents the investment amount of the power grid.

[0039] In a second aspect, the present application provides a power grid multiple development target deduction system based on system dynamics, comprising:

[0040] a first data model construction module for constructing an energy security data model based on power grid energy parameters;

[0041] a second data model construction module for constructing a power grid economic data model based on power grid economic parameters;

[0042] a third data model construction module for constructing a power grid environmental protection data model based on power grid environmental protection parameters;

[0043] a fourth data model construction module for constructing a power grid technology development data model based on power grid technology parameters;

[0044] a data model fusion module for fusing the energy security data model, the power grid economic data model, the power grid environmental protection data model and the power grid technology development data model, and obtaining a four-dimensional dynamic mapping evolution dynamics model;

[0045] a deduction result output module for deducing the power grid development target by using the four-dimensional dynamic mapping evolution dynamics model, and outputting a deduction result.

[0046] In a preferred embodiment of the present application, the system further comprises a first parameter input window, a second parameter input window, a third parameter input window and a fourth parameter input window for inputting power grid energy parameters, power grid economic parameters, power grid environmental protection parameters and power grid technology parameters respectively.

[0047] In a preferred embodiment of the present application, the system further comprises a deduction result output window for outputting the deduction result, and a model structure display window for displaying the energy security data model, the power grid economic data model, the power grid environmental protection data model, the power grid technology development data model and the four-dimensional dynamic mapping evolution dynamics model.

[0048] In a third aspect, the present application provides an electronic device, comprising:

[0049] at least one processor, and a memory connected to the processor in communication;

[0050] wherein the memory stores instructions, and the instructions are executed by the processor to enable the processor to implement the method described above.

[0051] In a fourth aspect, the present application provides a computer readable storage medium storing computer executable instructions for executing the method described above.

[0052] Compared with the prior art, the present application has the following beneficial effects:

[0053] The present application takes advantage of the systematic and dynamic characteristics of system dynamics, can comprehensively consider the nonlinear characteristics of future power grid development, and take into account the mutual coupling feedback characteristics of multiple factors affecting power grid development; not limited to a specific problem, but taking into account the overall process of power grid development, can effectively break free from the constraints of traditional analysis mode, can objectively and in-depth analysis through scenario comparison, and can better reflect the choice of the road to future development; at the same time, the present application fully considers the safety index of energy and power, the economic index of power grid company, the environmental protection index of serving the double carbon target, and the technical index of future advanced technology development, considers the progressive evolution of external environment, and realizes the deduction of multiple development goals of medium and long term power grid;

[0054] The present application is simple to operate, only needs to input corresponding parameters, can quickly obtain the deduction result, can intuitively see the evolution process, and can comprehensively consider macro system elements such as clean energy types, energy market subjects, economic development, social factors and policy incentives.

[0055] In order to make the above-mentioned purposes, characteristics and advantages of the present application more obvious and easy to understand, the following will specifically describe the embodiments of the present application, and the accompanying drawings will be described in detail as follows. BRIEF DESCRIPTION OF DRAWINGS

[0056] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the embodiments, and it should be understood that the following drawings only show some embodiments of the present application, and should not be regarded as a limitation to the scope, and for those skilled in the art, other related drawings can also be obtained without creative labor on the basis of these drawings.

[0057] Figure 1 is a flow chart of the power grid multiple development goal deduction method described in embodiment 1 of the present application;

[0058] Figure 2 is a simulation structure diagram of the energy security data model described in embodiment 1 of the present application;

[0059] Figure 3 is a simulation structure diagram of the power grid economic data model described in embodiment 1 of the present application;

[0060] Figure 4 is a simulation structure diagram of the power grid environmental protection data model described in embodiment 1 of the present application;

[0061] Figure 5 is a simulation structure diagram of the power grid technology development data model described in Embodiment 1 of the present application;

[0062] Figure 6 is a system block diagram of the power grid multiple development target deduction system based on system dynamics described in Embodiment 2 of the present application. DETAILED DESCRIPTION

[0063] In order to make the objectives, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described below in connection with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. The components of the embodiments of the present application described and shown in the accompanying drawings can be arranged and designed in various different configurations.

[0064] Therefore, the detailed description of the embodiments of the present application provided in the accompanying drawings below is not intended to limit the scope of the claimed present application, but only represents selected embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative labor are within the scope of protection of the present application.

[0065] Embodiment 1

[0066] Please refer to Figure 1 The embodiments of the present application provide a power grid multiple development target deduction method based on system dynamics, which comprises the following steps:

[0067] S1, constructing an energy security data model based on power grid energy parameters;

[0068] S2, constructing a power grid economic data model based on power grid economic parameters;

[0069] S3, constructing a power grid environmental protection data model based on power grid environmental protection parameters;

[0070] S4, constructing a power grid technology development data model based on power grid technology parameters;

[0071] S5, constructing a four-dimensional dynamic mapping evolution dynamics model by using the energy security data model, the power grid economic data model, the power grid environmental protection data model and the power grid technology development data model;

[0072] S6, deducing the power grid development target by using the four-dimensional dynamic mapping evolution dynamics model, and outputting the deduction result.

[0073] In this embodiment, the four-dimensional dynamic mapping evolution dynamics model is constructed by fusing the energy security data model, the power grid economic data model, the power grid environmental protection data model and the power grid technical development data model. If there are the same items, that is, the parameters and functions are the same, they can be deleted and simplified.

[0074] In this embodiment, as shown in Figure 2 The power energy is affected by the market supply and demand constraints. In the model, the energy production, energy consumption and energy price are the most intuitive macro indicators. The total power consumption is selected to represent the power consumption environment, and the total power production represents the power development scale. The oil production, consumption and oil price are used to represent the fossil energy development scale. Clean energy can effectively reduce the dependence of energy consumption countries on foreign countries and further enhance energy security. The model formula of the energy security data model includes:

[0075]

[0076]

[0077]

[0078]

[0079] γ a = α1ε wh (t) + α2δ pr (t) + α3δ dep (t) + α4ν con (t) + α5δ fos (t) + α6μ(t)

[0080] In the formula: Sj(t) represents the installed capacity of the jth energy, j takes the value of 1-5, representing thermal power, nuclear power, hydropower, wind power and photovoltaic power; S CG (t) represents the newly added installed capacity of different energy, c j is a positive real coefficient, Sj(t0) represents the initial value of the installed capacity of different energy at t0; P(t) represents the total power consumption, i takes the value of 1-4, representing the first industry, the second industry, the third industry and the residential electricity consumption; p i (t) represents the electricity consumption, e s (t) represents the power generation, c i , c s are fitting coefficients; Sj(t) represents the power generation of the jth energy; τ j represents the average utilization hours of the jth energy; δ dep (t) represents the energy dependence on foreign countries; This represents total energy consumption; Indicates primary energy production; γ a The energy security index is represented by α1, α2, α3, α4, α5, and α6, which are weighting coefficients obtained using the Delphi method. μ(t) represents the availability of energy in the international market. ε wh (t) represents the foreign exchange reserve index; δ pr (t) represents the volatility of energy prices; ν con (t) represents the growth rate of energy consumption; δ fos (t) represents the proportion of fossil fuel consumption.

[0081] In this embodiment, as Figure 3 As shown, since the future development goals of the power grid are closely related to power grid investment, it is necessary to establish a model that considers the economic indicators of the power grid company. This model mainly considers three key indicators: power grid investment capacity, transmission and distribution price level, and power grid investment growth rate. This leads to the construction of sub-modules for power grid profit, transmission and distribution price, and power grid investment. These sub-modules are interconnected, and the impact of policy factors on the economic development index is also considered, quantified into policy factors after specific policy analysis. The model formula for the power grid economic data model includes:

[0082]

[0083]

[0084]

[0085] C net (t)=[R bus (t)-C bus (t)]·[1-δ tax (t)]

[0086] In the formula: Indicates the total investment in the power grid; I sg (t) represents the investment amount in the smart grid; I tu (t) represents the investment amount in technological upgrading; I ic (t) represents the amount of infrastructure investment; I oth (t) represents other investments; R tp (t) represents electricity transmission and distribution revenue; e tp (t) represents the transmitted and distributed power; This represents the average transmission and distribution price; Indicates effective assets; Indicates incremental assets; Indicates retired assets; C represents the initial effective asset value at time t0;net (t) represents the net profit of the power grid company; R bus (t) represents the power grid business income; C bus (t) represents the power grid business cost; δ tax (t) represents the income tax rate.

[0087] In the present embodiment, as shown in Figure 4 At present, the combustion of fossil energy has brought great harm to the environment, and the greenhouse gases produced by the combustion of fossil energy are the main culprits of global warming. Under the current background of the “double carbon” target, energy transformation is accelerating, and vigorously developing new energy has become the development direction of adapting to the energy production and consumption revolution in China. Therefore, this model takes into account the future development of fossil energy and clean energy. At the same time, considering the relationship between society, economy, energy and carbon emissions and the influence of external policy environment on technological innovation, carbon sink infrastructure construction, resident behavior and industrial structure adjustment and other comprehensive measures, the influence on carbon emissions is judged, and the future development target is deduced. The model formula of the power grid environmental protection data model includes:

[0088]

[0089]

[0090]

[0091]

[0092] In the formula: represents the total amount of gross domestic product; r G (t) represents the GDP growth rate; represents the initial value of gross domestic product at t0; represents the total population; r P (t) represents the natural population growth rate; represents the initial value of population at t0; represents the total amount of carbon emissions; represents the carbon emission growth; represents the carbon emission reduction; represents the initial value of carbon emissions at t0; represents the coal consumption; represents the oil consumption; represents the natural gas consumption; η1, η2, η3 respectively represent the carbon emission coefficients of coal, oil and natural gas.

[0093] In the present embodiment, as shown in Figure 5As shown, achieving clean energy substitution in energy production and electricity substitution in energy consumption are key to achieving carbon neutrality for the whole society, and the construction of a low-carbon or even zero-carbon power system is an important aspect of this. The clean transformation of the power system relies on the support of a series of key technologies, including clean energy generation, energy storage, ultra-high-voltage transmission, and carbon capture and storage. Therefore, when analyzing the medium- and long-term development goals of the power grid, the impact of these key technological advancements must be considered. Simultaneously, these key technologies should also be driven to progress towards achieving a carbon-neutral power system transformation. Some of the aforementioned low-carbon technologies have already been considered in the environmental protection model. This model mainly focuses on transmission capacity, power generation technology, and the intelligent development of the power grid, while also coupling with parameters shared by other modules such as GDP and population. The model formulas for the power grid technology development data model include:

[0094]

[0095]

[0096]

[0097]

[0098] In the formula: Indicates transmission capacity; l(t) represents transmission distance; V(t) represents voltage level; These represent unit resistance, unit reactance, and unit susceptance, respectively; σ is a positive real coefficient. This represents the change in transmission capacity; This represents the initial value of the transmission capacity at time t0; Indicates electricity demand; S G2 (t) represents the output value of the secondary industry; This represents the total electricity consumption of the entire industry; p fit (t) represents the average on-grid electricity price for power generation enterprises; I(t) represents per capita income; ξ1, ξ2, ξ3, ξ4 are weighting coefficients obtained by the Delphi method, and their sum is 1; λ inte (t) represents the level of intelligence; Indicates the investment amount in smart grids; This indicates the amount of investment in the power grid.

[0099] Example 2

[0100] Please refer to Figure 6 This invention provides a system for extrapolating multiple development goals of a power grid based on system dynamics, comprising:

[0101] The first data model building module is used to build an energy security data model based on grid energy parameters.

[0102] The second data model construction module is configured to construct a power grid economic data model based on the power grid economic parameters.

[0103] The third data model construction module is configured to construct a power grid environmental protection data model based on the power grid environmental protection parameters.

[0104] The fourth data model construction module is configured to construct a power grid technology development data model based on the power grid technology parameters.

[0105] The data model fusion module is configured to fuse the energy security data model, the power grid economic data model, the power grid environmental protection data model and the power grid technology development data model, and obtain a four-dimensional dynamic mapping evolution dynamics model.

[0106] The deduction result output module is configured to deduce the power grid development target by using the four-dimensional dynamic mapping evolution dynamics model, and output the deduction result.

[0107] In the embodiment, the system further comprises a first parameter input window, a second parameter input window, a third parameter input window and a fourth parameter input window, which are configured to input the power grid energy parameters, the power grid economic parameters, the power grid environmental protection parameters and the power grid technology parameters respectively.

[0108] In the embodiment, the system further comprises a deduction result output window configured to output the deduction result, and a model structure display window configured to display the energy security data model, the power grid economic data model, the power grid environmental protection data model, the power grid technology development data model and the four-dimensional dynamic mapping evolution dynamics model.

[0109] In the embodiment, an expansion port is further provided, and if there are increased items in the power grid energy parameters / power grid economic parameters / power grid environmental protection parameters / power grid technology parameters, the constructed model can be expanded through the expansion port.

[0110] The above merely describes the preferred embodiments of the present application and is not used to limit the present application. For those skilled in the art, the present application can have various modifications and changes. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A system dynamics-based method for deriving multiple development objectives of an electric power grid, characterized by, The method comprises the following steps: S1, constructing an energy security data model based on power grid energy parameters, the model formula comprising: In the formula: represents the installed capacity of the jth energy source, j takes values from 1 to 5, respectively representing thermal power, nuclear power, hydropower, wind power and photovoltaic power generation; represents the newly added installed capacity of different energy sources, is a positive real coefficient, represents the initial value of the installed capacity of different energy sources at t0; represents the total power consumption, i takes values from 1 to 4, respectively representing the first industry, the second industry, the third industry and the residential electricity consumption; represents the electricity consumption, represents the power generation, , is a fitting coefficient; represents the power generation of the jth energy source; represents the average utilization hours of the jth energy source; represents the degree of dependence on external energy; represents the total energy consumption; represents the primary energy production; represents the energy security index; is the weight coefficient obtained by the Delphi method; represents the availability of international market energy; represents the foreign exchange reserve index; represents the energy price fluctuation rate; represents the energy consumption growth rate; represents the proportion of fossil energy consumption; S2, constructing a power grid economic data model based on power grid economic parameters, the model formula comprising: In the formula: represents the total investment of the power grid; represents the smart grid investment; represents the technical transformation investment; represents the capital construction investment; represents other investments; represents the transmission and distribution income; represents the transmission and distribution volume; represents the average value of the transmission and distribution price; represents the effective assets; represents the incremental assets; represents the retired assets; represents the initial value of the effective assets at t0; represents the net profit of the power grid company; represents the power grid business income; represents the power grid business cost; represents the income tax rate; S3, constructing a power grid environmental protection data model based on power grid environmental protection parameters, the model formula comprising: In the formula: represents the total amount of gross domestic product; represents the growth rate of GDP; represents the initial value of gross domestic product at time t0; represents the total population; represents the natural growth rate of population; represents the initial value of population at time t0; represents the total amount of carbon emissions; represents the growth amount of carbon emissions; represents the reduction amount of carbon emissions; represents the initial value of carbon emissions at time t0; represents the consumption amount of coal; represents the consumption amount of oil; represents the consumption amount of natural gas; represents the carbon emission coefficient corresponding to coal, oil, and natural gas, respectively; S4, constructing a power grid technology development data model based on power grid technology parameters, the model formula comprising: In the formula: represents the transmission capacity; represents the transmission distance; represents the voltage level; respectively represent the unit resistance, the unit reactance and the unit susceptance; is a positive real coefficient; represents the transmission capacity change value; represents the initial value of the transmission capacity at t0 moment; represents the power demand; represents the second industry output value; represents the total industry power consumption; represents the average on-grid electricity price of the power generation enterprise; represents the per capita income; are weight coefficients obtained by the Delphi method, and their sum is 1; represents the intelligent level; represents the smart grid investment amount; represents the grid investment amount; S5, constructing a four-dimensional dynamic mapping evolution dynamics model by using the energy security data model, the power grid economic data model, the power grid environmental protection data model and the power grid technology development data model; S6, deducing the power grid development target by using the four-dimensional dynamic mapping evolution dynamics model, and outputting the deduction result.

2. A system dynamics based power grid multi-development objective deduction system, characterized in that, The power grid multiple development target deduction system is used for implementing the method of claim 1, and comprises: a first data model construction module for constructing an energy security data model based on power grid energy parameters; a second data model construction module for constructing a power grid economic data model based on power grid economic parameters; a third data model construction module for constructing a power grid environmental protection data model based on power grid environmental protection parameters; a fourth data model construction module for constructing a power grid technology development data model based on power grid technology parameters; a data model fusion module for fusing the energy security data model, the power grid economic data model, the power grid environmental protection data model and the power grid technology development data model, and obtaining a four-dimensional dynamic mapping evolution dynamics model; a deduction result output module for deducing the power grid development target by using the four-dimensional dynamic mapping evolution dynamics model, and outputting the deduction result.

3. The grid multi-development objective deduction system of claim 2, wherein, The system further comprises a first parameter input window, a second parameter input window, a third parameter input window and a fourth parameter input window for inputting power grid energy parameters, power grid economic parameters, power grid environmental protection parameters and power grid technology parameters respectively.

4. The grid multi-development objective deduction system of claim 2, wherein, The system further comprises a deduction result output window for outputting the deduction result, and a model structure display window for displaying the energy security data model, the power grid economic data model, the power grid environmental protection data model, the power grid technology development data model and the four-dimensional dynamic mapping evolution dynamics model.

5. An electronic device, characterized by comprise: at least one processor, and a memory connected with the processor in communication; wherein the memory stores instructions, and the instructions are executed by the processor to cause the processor to implement the method of claim 1 when the instructions are executed by the processor.

6. A computer readable storage medium characterized by The computer readable storage medium stores computer executable instructions for executing the method of claim 1.

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