Energy storage configuration method and system for new energy high-permeability power grid

Abstract

The invention discloses an energy storage configuration method and system for a new energy high-permeability power grid, and belongs to the technical field of energy storage configuration. The method comprises the following steps: obtaining real-time data of a new energy high-permeability power grid, and obtaining an electric energy balance index, a new energy permeability index, a power grid stability index and an environmental adaptability index of the new energy high-permeability power grid; performing power grid scoring on the new energy high-permeability power grid; performing real-time classification on the new energy high-permeability power grid; a large-capacity energy storage system is adopted for an incoming power grid, a medium-capacity energy storage system is adopted for a balanced power grid, and a small-capacity energy storage system is adopted for an output power grid. By acquiring the multi-dimensional real-time data of the new energy high-permeability power grid and calculating the corresponding index, the technical effects of improving the stability of the power grid, ensuring the electric energy balance, better adapting to the environment and the like are achieved, and the problem that the energy storage system is difficult to flexibly and accurately configure according to the actual operation characteristics of the new energy high-permeability power grid in the prior art is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of energy storage configuration, and particularly to a method and system for energy storage configuration in a new - energy high - penetration power grid. Background Art

[0002] With the increasing global demand for clean energy and the continuous advancement of climate change mitigation goals, the penetration rate of new energy in the power system has been rising year by year. For example, a large amount of new energy such as wind energy and solar energy has been connected to the power grid. However, new energy has characteristics such as intermittency, volatility, and randomness, which bring many challenges to aspects such as the safe and stable operation of the power grid, the guarantee of power quality, and the balance of power supply and demand. Therefore, the reasonable configuration of energy storage systems has become increasingly crucial in new - energy high - penetration power grids.

[0003] Existing new - energy power - grid energy storage configuration systems are implemented by relying on fixed energy - storage capacity ratio standards, combining simple power - grid power fluctuation monitoring data, and adopting conventional energy - storage charge - discharge control strategies.

[0004] In the prior art, it is difficult to adapt to the complex changes in new - energy output under different scenarios only relying on fixed energy - storage capacity ratio standards. At the same time, simple power - grid power fluctuation monitoring is not comprehensive and accurate enough, and the flexibility of conventional energy - storage charge - discharge control strategies is poor. There are problems such as the inability to accurately match the fluctuation characteristics of new energy for efficient energy - storage configuration, which in turn affects the stability of the power grid and the effective regulation of electric energy. Summary of the Invention

[0005] By providing a method and system for energy storage configuration in a new - energy high - penetration power grid, embodiments of the present application solve the problem in the prior art that it is difficult to flexibly and accurately configure an energy - storage system according to the actual operating characteristics of a new - energy high - penetration power grid, which in turn affects the stable operation of the power grid and the effective regulation of electric energy. The technical effects of obtaining multi - dimensional real - time data of a new - energy high - penetration power grid, calculating corresponding indexes, classifying the power grid according to the power - grid scoring index, and then reasonably matching an energy - storage system with a corresponding capacity for different types of power grids to improve the stability of the power grid, ensure the balance of electric energy, and better adapt to the environment are achieved.

[0006] An energy storage configuration method for a new energy high-penetration power grid provided by an embodiment of the present application includes the following steps: obtaining real-time data of the new energy high-penetration power grid, performing preprocessing to obtain preprocessed real-time data; the new energy high-penetration power grid includes a solar photovoltaic power grid, a wind turbine power grid, and a biomass power generation grid; based on the preprocessed real-time data, obtaining an electric energy balance index, a new energy penetration index, a power grid stability index, and an environmental adaptability index of the new energy high-penetration power grid; based on the obtained electric energy balance index, new energy penetration index, power grid stability index, and environmental adaptability index, performing a power grid score on the new energy high-penetration power grid through a power grid score index formula; according to the power grid score index, classifying the new energy high-penetration power grid in real time as an incoming power grid, a balanced power grid, and an output power grid; adopting a large-capacity energy storage system for the incoming power grid, a medium-capacity energy storage system for the balanced power grid, and a small-capacity energy storage system for the output power grid.

[0007] Further, the step of obtaining real-time data of the new energy high-penetration power grid is as follows: obtaining the output power data of each solar photovoltaic power grid, wind turbine power grid, and biomass power generation grid through a power sensor; obtaining the real-time load data of each solar photovoltaic power grid, wind turbine power grid, and biomass power generation grid through a smart meter device; obtaining the operation state data of the solar photovoltaic power grid, wind turbine power grid, and biomass power generation grid through a monitoring device.

[0008] Further, the obtaining method of the electric energy balance index is: based on the preprocessed real-time data, obtaining the real-time total electric energy input power and real-time total electric energy output power of each new energy high-penetration power grid; obtaining the rated power of each new energy high-penetration power grid; obtaining the electric energy balance index of each solar photovoltaic power grid, wind turbine power grid, and biomass power generation grid through the electric energy balance index formula; the electric energy balance index formula is: In the formula, EBI is the electric energy balance index, Pin(t) is the total electric energy input power of the new energy high-penetration power grid at time t, Pout(t) is the total electric energy output power of the new energy high-penetration power grid at time t, Prated is the rated power of the new energy high-penetration power grid, and T is the statistical time range.

[0009] Further, the obtaining method of the new energy penetration index is: based on the preprocessed real-time data, obtaining the real-time power of new energy generation in the new energy high-penetration power grid and the real-time power supply power of the new energy high-penetration power grid; obtaining the new energy penetration index of each solar photovoltaic power grid, wind turbine power grid, and biomass power generation grid through the new energy penetration index formula; the new energy penetration index formula is: Wherein, NPI is the new energy penetration rate index, Pnew(t) is the total power generation of new energy at time t, Ptotal(t) is the total power supply of each new energy high-penetration power grid at time t, and T is the statistical time range.

[0010] Furthermore, the method for obtaining the power grid stability index is as follows: Based on the preprocessed real-time data, obtain the real-time frequency deviation of the new energy high-penetration power grid and the real-time voltage deviation of the new energy high-penetration power grid; obtain the maximum allowable frequency deviation and maximum voltage deviation of each new energy high-penetration power grid from the database; obtain the power grid stability index of each solar photovoltaic power grid, wind turbine power grid, and biomass power generation grid through the power grid stability index formula; the power grid stability index formula is: Wherein, GSI is the power grid stability index, f(t) represents the power grid frequency deviation of each new energy high-penetration power grid at time t, V(t) represents the power grid voltage deviation of each new energy high-penetration power grid at time t, T is the statistical time range, fmax is the maximum allowable frequency deviation of each new energy high-penetration power grid, and Vmax is the maximum allowable voltage deviation of each new energy high-penetration power grid.

[0011] Furthermore, the method for obtaining the environmental adaptability index is as follows: Based on the preprocessed real-time data, obtain the real-time environmental temperature of the new energy high-penetration power grid, the real-time environmental light intensity of the new energy high-penetration power grid, and the real-time environmental wind speed of the new energy high-penetration power grid; obtain the optimal operating temperature, optimal operating intensity, and optimal operating wind speed of each new energy high-penetration power grid through the database; obtain the environmental adaptability index of each solar photovoltaic power grid, wind turbine power grid, and biomass power generation grid through the environmental adaptability index formula; the environmental adaptability index formula is: Wherein, EAI is the environmental adaptability index, Tenv(t) represents the environmental temperature of each new energy high-penetration power grid at time t, I(t) represents the environmental light intensity of each new energy high-penetration power grid at time t, F(t) represents the environmental wind speed of each new energy high-penetration power grid at time t, Trated is the optimal operating temperature of each new energy high-penetration power grid, Irated is the optimal light intensity of each new energy high-penetration power grid, Frated is the optimal operating wind speed of each new energy high-penetration power grid, T is the statistical time range, and L, M, and N are all transfer functions.

[0012] Further, the steps for rating a new - energy high - penetration power grid through the power - grid rating index formula are as follows: Obtain the weight factors of the power - grid rating index for the power - balance index, new - energy penetration index, power - grid stability index, and environmental adaptability index through the database; the power - grid rating index formula is: S = a*EBI + b*NPI + c*GSI + d*EAI; where S is the power - grid rating index, a is the weight factor of EBI for S, b is the weight factor of NPI for S, c is the weight factor of GSI for S, d is the weight factor of EAI for S, EBI is the power - balance index, NPI is the new - energy penetration index, GSI is the power - grid stability index, and EAI is the environmental adaptability index.

[0013] Further, the steps for classifying a new - energy high - penetration power grid into an input - type power grid, a balanced power grid, and an output - type power grid in real - time are as follows: Obtain the power - grid classification criteria through the database, and set the first threshold, the second threshold, the third threshold, and the fourth threshold; If the power - grid rating index is not less than the first threshold and less than the second threshold, it is classified as an input - type power grid; If the power - grid rating index is not less than the second threshold and less than the third threshold, it is classified as a balanced power grid; If the power - grid rating index is not less than the third threshold and less than the fourth threshold, it is classified as an output - type power grid.

[0014] Further, the steps for using a large - capacity energy - storage system for the input - type power grid, a medium - capacity energy - storage system for the balanced power grid, and a small - capacity energy - storage system for the output - type power grid are as follows: For the input - type power grid, select a large - capacity energy - storage system with a capacity range of X1 kWh - X2 kWh, where X1 and X2 are parameters preset according to the power - grid scale and load demand obtained from the database; For the balanced power grid, select a medium - capacity energy - storage system with a capacity range of Y1 kWh - Y2 kWh, where Y1 and Y2 are parameters preset according to the power - grid power supply - demand balance characteristics obtained from the database; For the output - type power grid, select a small - capacity energy - storage system with a capacity range of Z1 kWh - Z2 kWh, where Z1 and Z2 are parameters preset according to the power - output characteristics of the power grid obtained from the database.

[0015] The embodiment of the present application provides an energy storage configuration system for a new energy high-penetration power grid, which is used to implement the energy storage configuration method for the new energy high-penetration power grid, including: a data acquisition module, an index acquisition module, a power grid scoring module, and an energy storage configuration module; wherein, the data acquisition module is used to acquire the real-time data of the new energy high-penetration power grid, perform preprocessing, and obtain the preprocessed real-time data. The new energy high-penetration power grid includes a solar photovoltaic power grid, a wind turbine power grid, and a biomass power generation grid; the index acquisition module is used to obtain the power balance index, new energy penetration index, power grid stability index, and environmental adaptability index of the new energy high-penetration power grid based on the preprocessed real-time data; the power grid scoring module is used to score the new energy high-penetration power grid through the power grid scoring index formula based on the obtained power balance index, new energy penetration index, power grid stability index, and environmental adaptability index; the energy storage configuration module is used to classify the new energy high-penetration power grid in real time according to the power grid scoring index into an input-type power grid, a balanced power grid, and an output-type power grid, and adopt a large-capacity energy storage system for the input-type power grid, a medium-capacity energy storage system for the balanced power grid, and a small-capacity energy storage system for the output-type power grid.

[0016] One or more technical solutions provided in the embodiment of the present application have at least the following technical effects or advantages:

[0017] 1. By obtaining the power balance index, new energy penetration index, power grid stability index, and environmental adaptability index of the new energy high-penetration power grid, and then scoring the power grid through the power grid scoring index formula, and then classifying it in real time into an input-type power grid, a balanced power grid, and an output-type power grid and configuring an energy storage system with a corresponding capacity, it realizes the precise configuration of the energy storage system according to different characteristics of the power grid, and effectively solves the problems in the prior art that the energy storage configuration of the new energy high-penetration power grid lacks pertinence and is difficult to fit the actual operation state of the power grid.

[0018] 2. By using a power sensor, a smart meter device, and a monitoring device to obtain the output power data, real-time load data, and operation status data of each power grid respectively, the real-time information of the power grid is comprehensively collected, and then it realizes providing a sufficient and accurate data basis for accurately calculating various indexes subsequently.

[0019] 3. By calculating the power balance index, new energy penetration index, power grid stability index, and environmental adaptability index respectively based on the preprocessed real-time data according to the corresponding formulas, the power grid characteristic indexes in various aspects are quantified, and then it realizes comprehensively evaluating the overall situation of the new energy high-penetration power grid in a scientific and objective manner, providing a basis for subsequent reasonable power grid scoring and classification. Description of the Drawings

[0020] Figure 1Flowchart of an energy storage configuration method for a new - energy high - penetration power grid provided by an embodiment of the present application.

[0021] Figure 2 Schematic structural diagram of an energy storage configuration system for a new - energy high - penetration power grid provided by an embodiment of the present application. Detailed implementation manners

[0022] By providing an energy storage configuration method and system for a new - energy high - penetration power grid, the embodiments of the present application solve the problems in the prior art that there is a lack of a scientific and reasonable classification basis for energy storage configuration in a new - energy high - penetration power grid and it is difficult to accurately match the energy storage capacity according to the actual operation conditions of the power grid. By selecting energy storage systems with corresponding capacity ranges for different types of power grids respectively, the accurate matching of the energy storage capacity according to the actual characteristics of the power grid is realized, ensuring the stable operation of the power grid and improving the utilization efficiency of the energy storage.

[0023] To better understand the above - mentioned technical solution, the above - mentioned technical solution will be described in detail below in conjunction with the accompanying drawings of the specification and specific implementation manners.

[0024] As Figure 1 shown, it is a flowchart of an energy storage configuration method for a new - energy high - penetration power grid provided by an embodiment of the present application. The method includes the following steps: Obtain the real - time data of the new - energy high - penetration power grid, and perform pre - processing to obtain the pre - processed real - time data. The new - energy high - penetration power grid includes a solar photovoltaic power grid, a wind turbine generator power grid, and a biomass power generation grid. Based on the pre - processed real - time data, obtain the power - balance index, new - energy penetration index, power - grid stability index, and environmental adaptability index of the new - energy high - penetration power grid. Based on the obtained power - balance index, new - energy penetration index, power - grid stability index, and environmental adaptability index, perform a power - grid score on the new - energy high - penetration power grid through the power - grid score index formula. According to the power - grid score index, classify the new - energy high - penetration power grid in real time as an input - type power grid, a balanced - type power grid, and an output - type power grid. For the input - type power grid, use a large - capacity energy storage system; for the balanced - type power grid, use a medium - capacity energy storage system; and for the output - type power grid, use a small - capacity energy storage system.

[0025] In this embodiment, the power - balance index can quantitatively reflect the balance degree of power input and output in the power grid within a certain time range, clearly show whether there is power surplus or shortage in the power grid, and help the operator understand whether the power supply - demand relationship of the power grid is stable.

[0026] The new - energy penetration index is used to measure the proportion of new - energy power generation in the entire power - grid power supply system, intuitively reflect the penetration degree of new energy in the power grid, and plays a key role in evaluating the rationality of the power - grid energy structure and the utilization efficiency of new energy.

[0027] The power grid stability index starts from key parameters such as the frequency deviation and voltage deviation of the power grid, comprehensively considering the stable performance of the power grid during operation, and is an important basis for judging whether the power grid can supply power continuously and reliably and avoid power outages or power quality problems.

[0028] The environmental adaptability index takes into account the impact of environmental factors (such as temperature, light, wind speed, etc.) where the power grid is located on the operation of the power grid. By comparing the actual environmental parameters with the optimal working environmental parameters of the power grid, it evaluates the adaptability of the power grid in the current environment, which is of great significance for taking preventive measures in advance to ensure the normal operation of the power grid.

[0029] By comprehensively and meticulously quantifying and evaluating the new - energy - high - penetration power grid from multiple core dimensions, rather than being limited to a single - indicator judgment, it enables operators to deeply understand the comprehensive performance and actual situation of the power grid, providing sufficient decision - making basis for formulating precise management and configuration strategies in the follow - up.

[0030] According to the different ranges of the power grid scoring index, the new - energy - high - penetration power grid is clearly divided into three types: input - type, balanced - type, and output - type. Each type of power grid has obvious differences in aspects such as the characteristics of electric energy supply and demand and operation characteristics, which helps to implement differentiated management and configuration strategies for different types of power grids.

[0031] Furthermore, the output power data of each solar photovoltaic power grid, wind turbine power grid, and biomass power generation grid are obtained through power sensors; the real - time load data of each solar photovoltaic power grid, wind turbine power grid, and biomass power generation grid are obtained through smart meter devices; the operation status data of the solar photovoltaic power grid, wind turbine power grid, and biomass power generation grid are obtained through monitoring devices.

[0032] Furthermore, based on the pre - processed real - time data, the real - time total electric energy input power and real - time total electric energy output power of each new - energy - high - penetration power grid are obtained; the rated power of each new - energy - high - penetration power grid is obtained; the electric energy balance index of each solar photovoltaic power grid, wind turbine power grid, and biomass power generation grid is obtained through the electric energy balance index formula; the electric energy balance index formula is: In the formula, EBI is the electric energy balance index, Pin(t) is the total electric energy input power of the new - energy - high - penetration power grid at time t, Pout(t) is the total electric energy output power of the new - energy - high - penetration power grid at time t, Prated is the rated power of the new - energy - high - penetration power grid, and T is the statistical time range.

[0033] In this embodiment, when the value of the power balance index is smaller, it indicates that within the statistical time range T, the difference between the real-time total power input of the new energy high-penetration power grid and the real-time total power output is relatively smaller compared to its rated power. This also means that the input and output of electric energy in this power grid are closer to the balanced state as a whole. It shows that the matching degree between the power supply and consumption during the operation of the power grid is better, there is no obvious power surplus or shortage, the power supply and demand relationship of the power grid is relatively stable, and it can continue to operate in an ideal state.

[0034] Furthermore, the method for obtaining the new energy penetration index is as follows: Based on the preprocessed real-time data, obtain the real-time power of new energy generation in the new energy high-penetration power grid and the real-time power supply of the new energy high-penetration power grid; obtain the new energy penetration index of each solar photovoltaic power grid, wind turbine power grid, and biomass power generation grid through the new energy penetration index formula; the new energy penetration index formula is: In the formula, NPI is the new energy penetration index, Pnew(t) is the total power generation of new energy at time t, Ptotal(t) is the total power supply of each new energy high-penetration power grid at time t, and T is the statistical time range.

[0035] In this embodiment, the value of the new energy penetration index intuitively shows the proportion of new energy generation in the entire power supply system of the new energy high-penetration power grid. When the value of NPI is relatively high, it indicates that within the statistical time range T, the real-time power of new energy generation occupies a relatively large share in the total power supply of the power grid, which means that the power grid has a high degree of utilization of new energy, and new energy plays a more crucial role in meeting the electricity demand, reflecting that the power grid has achieved good results in energy transformation and is gradually relying on more clean energy to maintain power supply.

[0036] Furthermore, the method for obtaining the power grid stability index is as follows: Based on the preprocessed real-time data, obtain the real-time frequency deviation of the new energy high-penetration power grid and the real-time voltage deviation of the new energy high-penetration power grid; obtain the maximum allowable frequency deviation and maximum voltage deviation of each new energy high-penetration power grid from the database; obtain the power grid stability index of each solar photovoltaic power grid, wind turbine power grid, and biomass power generation grid through the power grid stability index formula; the power grid stability index formula is: In the formula, GS I is the power grid stability index, f(t) represents the power grid frequency deviation of each new energy high-penetration power grid at time t, V(t) represents the power grid voltage deviation of each new energy high-penetration power grid at time t, T is the statistical time range, fmax is the maximum allowable frequency deviation of each new energy high-penetration power grid, and Vmax is the maximum allowable voltage deviation of each new energy high-penetration power grid.

[0037] In this embodiment, if the value of GSI is smaller, it indicates that during the operation of the power grid, the frequency and voltage fluctuations are extremely small, the coordination among various power generation equipment, transmission lines, and electrical loads is good, the power grid can operate stably according to the established standards, and problems such as power outages and equipment damage caused by abnormal frequency or voltage rarely occur.

[0038] Furthermore, the method for obtaining the environmental adaptability index is as follows: based on the preprocessed real-time data, obtain the real-time environmental temperature, real-time environmental light intensity, and real-time environmental wind speed of the new energy high-penetration power grid; obtain the optimal operating temperature, optimal operating intensity, and optimal operating wind speed of each new energy high-penetration power grid through the database; obtain the environmental adaptability index of each solar photovoltaic power grid, wind turbine power grid, and biomass power generation grid through the environmental adaptability index formula; the environmental adaptability index formula is:

[0039]

[0040] In the formula, EAI is the environmental adaptability index, Tenv(t) represents the environmental temperature of each new energy high-penetration power grid at time t, I(t) represents the environmental light intensity of each new energy high-penetration power grid at time t, F(t) represents the environmental wind speed of each new energy high-penetration power grid at time t, Trated is the optimal operating temperature of each new energy high-penetration power grid, Irated is the optimal light intensity of each new energy high-penetration power grid, Frated is the optimal operating wind speed of each new energy high-penetration power grid, T is the statistical time range, and L, M, and N are all transfer functions.

[0041] In this embodiment, if the value of EAI is larger, it indicates that factors such as temperature, light, and wind speed in the actual environment of the power grid are basically in the range conducive to its stable operation, various power generation equipment (such as solar photovoltaic panels, wind turbines, etc.) can work more efficiently, the entire power grid is less affected by environmental factors, and the operation reliability is higher.

[0042] Furthermore, the steps for rating the new energy high-penetration power grid through the power grid rating index formula are as follows: obtain the weight factors of the power balance index, new energy penetration index, power grid stability index, and environmental adaptability index for the power grid rating index through the database; the power grid rating index formula is: S = a*EBI + b*NPI + c*GSI + d*EAI; in the formula, S is the power grid rating index, a is the weight factor of EBI for S, b is the weight factor of NPI for S, c is the weight factor of GSI for S, d is the weight factor of EAI for S, EBI is the power balance index, NPI is the new energy penetration index, GSI is the power grid stability index, and EAI is the environmental adaptability index.

[0043] In this embodiment, a higher power grid scoring index value means that the power grid has good performance in multiple aspects such as power balance, new energy utilization, power grid stability, and environmental adaptability. The overall operation condition is good, the cooperation among all links is relatively ideal, and it can provide electric energy for users efficiently and stably.

[0044] Further, the steps for real-time classification of a new energy high-penetration power grid into an input-type power grid, a balanced power grid, and an output-type power grid are as follows: Obtain the power grid classification criteria through a database, and set a first threshold, a second threshold, a third threshold, and a fourth threshold; If the power grid scoring index is not lower than the first threshold and lower than the second threshold, it is classified as an input-type power grid; If the power grid scoring index is not lower than the second threshold and lower than the third threshold, it is classified as a balanced power grid; If the power grid scoring index is not lower than the third threshold and lower than the fourth threshold, it is classified as an output-type power grid.

[0045] In this embodiment, different-capacity energy storage systems are adopted according to different types of power grids (a large-capacity energy storage system is adopted for the input-type power grid, a medium-capacity energy storage system is adopted for the balanced power grid, and a small-capacity energy storage system is adopted for the output-type power grid), achieving precise matching and efficient utilization of energy storage resources. The large-capacity energy storage system can better meet the supplementary demand of the input-type power grid when the electric energy is insufficient, ensuring its power supply stability; The medium-capacity energy storage adapts to the moderate adjustment demand of the balanced power grid, helping to maintain the dynamic balance of power supply and demand; The small-capacity energy storage used in the output-type power grid not only ensures the quality of electric energy output but also avoids unnecessary resource waste, improving the overall utilization efficiency of energy storage resources.

[0046] Further, the steps for adopting a large-capacity energy storage system for the input-type power grid, a medium-capacity energy storage system for the balanced power grid, and a small-capacity energy storage system for the output-type power grid are as follows: For the input-type power grid, select a large-capacity energy storage system with a capacity range of X1 kWh - X2 kWh, where X1 and X2 are parameters preset according to the power grid scale and load demand obtained from the database; For the balanced power grid, select a medium-capacity energy storage system with a capacity range of Y1 kWh - Y2 kWh, where Y1 and Y2 are parameters preset according to the characteristics of power supply and demand balance of the power grid obtained from the database; For the output-type power grid, select a small-capacity energy storage system with a capacity range of Z1 kWh - Z2 kWh, where Z1 and Z2 are parameters preset according to the power output characteristics of the power grid obtained from the database.

[0047] In this embodiment, the large-capacity energy storage system of the input-type power grid can supplement electric energy when the electric energy input is insufficient, the medium-capacity energy storage system of the balanced power grid can cope with daily power fluctuations, and the small-capacity energy storage system of the output-type power grid can ensure the quality of electric energy output, jointly reducing power outage accidents, maintaining the stability of key parameters, enhancing the anti-interference ability of the power grid, and ensuring the continuity and stability of power grid operation.

[0048] As Figure 2 shown, it is a schematic structural diagram of an energy storage configuration system for a new - energy high - penetration power grid provided by an embodiment of the present application, which is used to implement a method for online teaching quality evaluation of novice teachers, including: a data acquisition module, an index acquisition module, a power grid scoring module, and an energy storage configuration module;

[0049] Among them, the data acquisition module is used to acquire real - time data of the new - energy high - penetration power grid, perform pre - processing, and obtain pre - processed real - time data. The new - energy high - penetration power grid includes a solar photovoltaic power grid, a wind turbine power grid, and a biomass power generation grid;

[0050] The index acquisition module is used to obtain the power balance index, new - energy penetration index, power grid stability index, and environmental adaptability index of the new - energy high - penetration power grid based on the pre - processed real - time data;

[0051] The power grid scoring module is used to score the new - energy high - penetration power grid based on the obtained power balance index, new - energy penetration index, power grid stability index, and environmental adaptability index through the power grid scoring index formula;

[0052] The energy storage configuration module is used to classify the new - energy high - penetration power grid in real - time according to the power grid scoring index into an input - type power grid, a balanced power grid, and an output - type power grid. For the input - type power grid, a large - capacity energy storage system is adopted; for the balanced power grid, a medium - capacity energy storage system is adopted; and for the output - type power grid, a small - capacity energy storage system is adopted.

[0053] Those skilled in the art should understand that the embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer - usable storage media (including but not limited to disk memory, CD - ROM, optical memory, etc.) containing computer - usable program code.

[0054] The present invention is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, and the combination of processes and / or blocks in the flowchart and / or block diagram can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general - purpose computer, a special - purpose computer, an embedded processor, or other programmable data - processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data - processing devices generate for implementing in the process Figure 1 one process or multiple processes and / or blocks Figure 1means for the functions specified in one or more blocks.

[0055] 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 operate in a particular manner, such that the instructions stored in the computer-readable memory produce a manufacture including an instruction means that implements the functions specified in one Figure 1 or more processes and / or blocks Figure 1 or more blocks.

[0056] 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, so that the instructions executed on the computer or other programmable apparatus provide steps for implementing the functions specified in one Figure 1 or more processes and / or blocks Figure 1 or more blocks.

[0057] Although the preferred embodiments of the present invention have been described, additional changes and modifications can be made by those skilled in the art once they learn of the basic inventive concept. Therefore, the appended claims are intended to be construed to include the preferred embodiments as well as all changes and modifications falling within the scope of the present invention.

[0058] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention is also intended to include these modifications and variations.

Claims

1. A method for configuring energy storage in a new energy high penetration power grid, characterized in that: The following steps are involved: Acquire real-time data of a new energy high-penetration power grid, perform preprocessing, and obtain preprocessed real-time data, wherein the new energy high-penetration power grid includes a solar photovoltaic power grid, a wind turbine power grid, and a biomass power grid; Based on the pre-processed real-time data, the power balance index, new energy penetration index, power grid stability index, and environmental adaptability index of the new energy high penetration power grid are obtained; Based on the obtained power balance index, new energy penetration index, power grid stability index, and environmental adaptability index, the power grid with high new energy penetration is scored using the power grid scoring index formula; According to the grid scoring index, the grid with high penetration of new energy is classified into receiving grid, balancing grid and exporting grid in real time; A large-capacity energy storage system is used for receiving power grids, a medium-capacity energy storage system is used for balancing power grids, and a small-capacity energy storage system is used for exporting power grids.

2. The energy storage configuration method for a new energy high penetration power grid as claimed in claim 1, characterized in that: The steps to obtain real-time data of a high-penetration renewable energy grid are as follows: The output power data of each solar photovoltaic power grid, wind turbine power grid, and biomass power grid are obtained through power sensors; Obtain real-time load data of each solar photovoltaic power grid, wind turbine power grid, and biomass power grid through smart meter equipment; The operating status data of solar photovoltaic power grid, wind turbine power grid and biomass power grid are obtained through monitoring equipment.

3. The energy storage configuration method for a new energy high penetration power grid as claimed in claim 1, characterized in that: The method of obtaining the power balance index is as follows: Based on the pre-processed real-time data, the real-time total electric energy input power and real-time total electric energy output power of each new energy high penetration power grid are obtained; Obtain the rated power of each high-penetration renewable energy grid; The power balance index of each solar photovoltaic power grid, wind turbine power grid, and biomass power grid is obtained through the power balance index formula; The electric energy balance index formula is: Where EBI is the electric energy balance index, Pin(t) is the total electric energy input power of the renewable energy high penetration power grid at time t, Pout(t) is the total electric energy output power of the renewable energy high penetration power grid at time t, Prated is the rated power of the renewable energy high penetration power grid, and T is the statistical time range.

4. The energy storage configuration method for a new energy high penetration power grid as claimed in claim 1, characterized in that: The new energy penetration index is obtained as follows: Based on the pre-processed real-time data, the real-time power of renewable energy generation and the real-time power supply of renewable energy high-penetration power grid are obtained; The new energy penetration index of each solar photovoltaic power grid, wind turbine power grid, and biomass power grid is obtained through the new energy penetration index formula; The new energy penetration index formula is: Where NPI is the new energy penetration index, Pnew(t) is the total power generation of new energy at time t, Ptotal(t) is the total power supply power of each new energy high penetration power grid at time t, and T is the statistical time range.

5. The energy storage configuration method for a new energy high penetration power grid as claimed in claim 1, characterized in that: The grid stability index is obtained as follows: Based on the pre-processed real-time data, the real-time frequency deviation and voltage deviation of the new energy high penetration power grid are obtained; Obtain the maximum frequency deviation and maximum voltage deviation allowed for each new energy high penetration power grid from the database; The grid stability index of each solar photovoltaic grid, wind turbine grid, and biomass power grid is obtained through the grid stability index formula; The grid stability index formula is: Where GSI is the grid stability index, f(t) represents the grid frequency deviation at time t in each renewable energy high penetration grid, V(t) represents the grid voltage deviation at time t in each renewable energy high penetration grid, T is the statistical time range, fmax is the maximum frequency deviation allowed for each renewable energy high penetration grid, and Vmax is the maximum voltage deviation allowed for each renewable energy high penetration grid.

6. The energy storage configuration method for a new energy high penetration power grid as claimed in claim 1, characterized in that: The environmental adaptability index is obtained as follows: Based on the pre-processed real-time data, the real-time ambient temperature of the new energy high-penetration power grid, the real-time ambient light intensity of the new energy high-penetration power grid, and the real-time ambient wind speed of the new energy high-penetration power grid are obtained; Obtain the optimal operating temperature, optimal operating intensity, and optimal operating wind speed for each new energy high-penetration power grid through the database; The environmental adaptability index of each solar photovoltaic power grid, wind turbine power grid, and biomass power grid is obtained through the environmental adaptability index formula; The environmental adaptability index formula is: Where EAI is the environmental adaptability index, Tenv(t) represents the ambient temperature of each renewable energy high penetration grid at time t, I(t) represents the ambient light intensity of each renewable energy high penetration grid at time t, F(t) represents the ambient wind speed of each renewable energy high penetration grid at time t, Trad is the optimal operating temperature of each renewable energy high penetration grid, Irated is the optimal light intensity of each renewable energy high penetration grid, Frated is the optimal operating wind speed of each renewable energy high penetration grid, T is the statistical time range, L, M and N are all transit functions.

7. The energy storage configuration method for a new energy high penetration power grid as claimed in claim 1, characterized in that: The steps for scoring the new energy high penetration grid using the grid scoring index formula are as follows: Obtain the weight factors of the power balance index, new energy penetration index, power grid stability index, and environmental adaptability index for the power grid scoring index through the database; The grid scoring index formula is: S=a*EBI+b*NPI+c*GSI+d*EAI; In the formula, S is the power grid scoring index, a is the weight factor of EBI to S, b is the weight factor of NPI to S, c is the weight factor of GSI to S, d is the weight factor of EAI to S, EBI is the electric energy balance index, NPI is the new energy penetration index, GSI is the power grid stability index, and EAI is the environmental adaptability index.

8. The energy storage configuration method for a new energy high penetration power grid as claimed in claim 1, characterized in that: The steps for real-time classification of new energy high penetration power grids into receiving power grids, balancing power grids, and export power grids are as follows: Obtaining a power grid classification standard through a database, and setting a first threshold, a second threshold, a third threshold, and a fourth threshold; The grid scoring index is not lower than the first threshold and lower than the second threshold and is classified as a receiving grid; The grid scoring index is not lower than the second threshold and lower than the third threshold and is classified as a balanced grid; A power grid with a scoring index not lower than the third threshold and lower than the fourth threshold is classified as an export-type power grid.

9. The energy storage configuration method for a new energy high penetration power grid as claimed in claim 8, characterized in that: The steps for using a large-capacity energy storage system for a receiving power grid, a medium-capacity energy storage system for a balancing power grid, and a small-capacity energy storage system for an exporting power grid are as follows: For the receiving grid, a large-capacity energy storage system with a capacity range of X1 kWh to X2 kWh is selected, where X1 and X2 are the pre-set parameters of the grid size and load demand obtained from the database; For a balanced power grid, a medium-capacity energy storage system with a capacity range of Y1 kWh-Y2 kWh is selected, where Y1 and Y2 are pre-set parameters of the power grid power supply and demand balance characteristics obtained from the database; For the output-type power grid, a small-capacity energy storage system with a capacity range of Z1 kWh to Z2 kWh is selected, where Z1 and Z2 are pre-set parameters of the power output characteristics of the power grid obtained from the database.

10. An energy storage configuration system for a new energy high penetration power grid, used to implement an energy storage configuration method for a new energy high penetration power grid as described in any one of claims 1 to 9, characterized in that: include: Data acquisition module, index acquisition module, power grid scoring module, energy storage configuration module; The data acquisition module is used to acquire real-time data of a new energy high penetration power grid, perform preprocessing, and obtain preprocessed real-time data. The new energy high penetration power grid includes a solar photovoltaic power grid, a wind turbine power grid, and a biomass power grid; The index acquisition module is used to obtain the power balance index, new energy penetration index, power grid stability index, and environmental adaptability index of the new energy high penetration power grid based on the pre-processed real-time data; The power grid scoring module is used to score the power grid with high penetration of new energy sources through a power grid scoring index formula based on the obtained power balance index, new energy penetration index, power grid stability index, and environmental adaptability index; The energy storage configuration module is used to classify the new energy high penetration power grid in real time according to the power grid scoring index, into receiving type power grid, balancing type power grid, and output type power grid, adopting a large-capacity energy storage system for the receiving type power grid, a medium-capacity energy storage system for the balancing type power grid, and a small-capacity energy storage system for the output type power grid.

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