Capacity configuration method of household photovoltaic energy storage system

Abstract

The invention discloses a capacity configuration method for a household photovoltaic energy storage system, and the method can comprehensively consider the actual electricity demand, available installation area, sunlight resources and other factors of a household through comprehensive data collection and analysis, and precisely evaluates the capacity configuration of the household photovoltaic system. According to the invention, through comparing the generating capacity of the photovoltaic system with the actual electricity consumption of the family, the proper capacity of the energy storage system is evaluated; based on energy storage system capacity evaluation, a plurality of factors such as user cost input, electric appliance equipment possibly increased in the future, use frequency change of existing equipment, the service life of energy storage equipment, system loss and charging and discharging rules are comprehensively considered, and finally a practical and feasible household photovoltaic system capacity installation scheme is obtained through coordination. The method not only ensures that the capacity of the energy storage system meets the electricity demand of a family, but also can utilize solar energy resources to the greatest extent, and meanwhile, reduces the expenditure of family investment cost and effectively improves the energy utilization efficiency.

Description

Technical Field

[0001] The present invention relates to the field of photovoltaic technology, and in particular to a capacity configuration method for a household photovoltaic energy storage system. Background Art

[0002] The home photovoltaic energy storage system is an innovative home energy solution that combines photovoltaic power generation with energy storage technology to provide green, reliable and economical electricity supply for the home. The home photovoltaic energy storage system is suitable for various home environments, especially for those who want to reduce electricity bills, improve energy efficiency and achieve green living.

[0003] At present, in the existing technology, reasonable capacity configuration is one of the key factors to ensure the efficient operation of the system when designing and optimizing household photovoltaic energy storage systems. Traditional methods often rely on empirical formulas or fixed parameters when configuring the capacity of photovoltaic energy storage systems. Since the electricity consumption characteristics of different households vary significantly, these methods are difficult to accurately match the actual electricity demand of the household, especially for households with large changes in electricity load; and because of different needs, household photovoltaic installation locations are wide, and the sunshine intensity or sunshine time that can be achieved in different regions are all different, which leads to great differences in the setting of the capacity of household photovoltaic energy storage systems. It is impossible to calculate according to the existing fixed formula, which is not conducive to the use of household photovoltaic systems. Based on the above reasons, the present invention proposes a capacity configuration method for household photovoltaic energy storage systems. Summary of the invention

[0004] 1. Technical issues to be solved

[0005] In view of the deficiencies of the prior art, the present invention can comprehensively consider factors such as the actual household electricity demand, available installation area, and sunshine resources through comprehensive data collection and analysis, and accurately evaluate the capacity configuration of the household photovoltaic system; the present invention evaluates the suitable energy storage system capacity by comparing the power generation of the photovoltaic system with the actual household electricity consumption, and based on the energy storage system capacity evaluation, comprehensively considers multiple factors such as user cost investment, possible future increase of electrical equipment, changes in the frequency of use of existing equipment, service life of energy storage equipment, system loss and charging and discharging rules, and finally coordinates to obtain a practical and feasible household photovoltaic system capacity installation plan. This method not only ensures that the energy storage system capacity meets the household electricity demand, but also can maximize the use of solar energy resources, while reducing the household's investment cost expenditure and effectively improving energy utilization efficiency.

[0006] (II) Technical solution

[0007] To achieve the above object, the present invention provides the following technical solution: a capacity configuration method for a household photovoltaic energy storage system, comprising the following steps:

[0008] S1: Collection of household electricity consumption data and data collection operations for PV system installation locations;

[0009] S2: Analyze household electricity consumption data to obtain the calculated value of the household photovoltaic energy storage system capacity;

[0010] S3: Analyze the data of the photovoltaic system installation location to obtain the daily power generation capacity that the household photovoltaic system can achieve;

[0011] S4: Evaluate the capacity of the energy storage system based on the calculated value of the capacity of the household photovoltaic energy storage system and the daily power generation capacity that can be achieved by the household photovoltaic system, and obtain a configurable value of the capacity of the household photovoltaic system;

[0012] S5: Considering the needs of practical factors and the configurable value of the household photovoltaic system capacity, coordinate and design the actual installation plan of the household photovoltaic system capacity.

[0013] Preferably, the household electricity consumption data includes the types of various electrical appliances in the household, the power of the electrical appliances and the usage time, and also includes the monthly electricity consumption data of the household for an entire year. The data on the installation location of the photovoltaic system includes the size of the area that can be used for the installation of photovoltaic panels of the photovoltaic system, the size of the installation location for the photovoltaic system energy storage batteries and control equipment, and local sunshine resource data. The sunshine resource data includes the annual average sunshine hours and sunshine intensity distribution.

[0014] Preferably, the analysis of household electricity consumption data comprises the following steps:

[0015] S11: Calculate the daily power consumption data of various electrical appliances in the household, and calculate the sum of the power consumption of various electrical appliances in the household to obtain the total daily power consumption of the household;

[0016] S12: Based on the method of step S11, continuously collect data for a household to obtain the total daily electricity consumption data of the household in one year;

[0017] S13: The data of the total daily electricity consumption in special cases are screened out, and the remaining total daily electricity consumption data are averaged. The obtained data is the calculated value, and the maximum value data of the total daily electricity consumption is retained.

[0018] Preferably, in step S11, the calculation formula for the sum of power consumption of various electrical appliances in the household is: W1×t1+W2×t2+W3×t3+W4×t5…+Wn×tn, where W is the rated power of the electrical appliance, and T is the usage time of the electrical appliance.

[0019] Preferably, the data of the total daily electricity consumption in special cases in step S13 include data of daily electricity consumption far lower than normal electricity consumption and data of sudden increase in daily electricity consumption.

[0020] Preferably, the analysis of the data of the photovoltaic system installation location comprises the following steps:

[0021] S31: Determine the number of photovoltaic panels that can be installed at the installation location of the photovoltaic system and the power generation density of the photovoltaic panels of the photovoltaic system, and set the power generation efficiency loss rate value;

[0022] S32: extracting local sunshine intensity data and annual average sunshine hours, and calculating daily average sunshine hours based on the annual average sunshine hours data;

[0023] S33: Calculate the power generation data: photovoltaic power generation area × photovoltaic power generation area × daily average sunshine hours, and obtain the daily power generation capacity value that can be achieved by the household photovoltaic system.

[0024] Preferably, the evaluation of the energy storage system capacity in step S4 is specifically as follows:

[0025] (1) When the calculated value of the household photovoltaic energy storage system capacity is equal to the daily power generation capacity that the household photovoltaic system can achieve, it means that the energy storage system capacity data obtained based on the existing situation can meet the household electricity needs, and it is necessary to ensure the maximum installation capacity for the photovoltaic system construction;

[0026] (2) When the calculated value of the household photovoltaic energy storage system capacity is greater than the daily power generation capacity that the household photovoltaic system can achieve, it means that the current photovoltaic installation capacity cannot meet the household's electricity needs, and it is necessary to re-plan the installation capacity of the photovoltaic system or connect it to the mains;

[0027] (3) When the calculated value of the household photovoltaic energy storage system capacity is less than the daily power generation capacity that the household photovoltaic system can achieve, it means that the current photovoltaic system installation capacity is greater than the household electricity demand, and the photovoltaic system installation capacity can be reduced.

[0028] Preferably, the comprehensive factors include one or more of the user's investment cost for the home photovoltaic energy storage system, the possibility of adding new electrical appliances to the home in the future, the increased frequency of use of existing electrical appliances, the service life of the energy storage equipment, the system's own capacity loss, and the impact of the energy storage system's charging and discharging rules on the usage capacity.

[0029] (III) Beneficial effects

[0030] Compared with the prior art, the present invention provides a capacity configuration method for a household photovoltaic energy storage system, which has the following beneficial effects: through comprehensive data collection and analysis, the present invention can comprehensively consider factors such as the actual household electricity demand, available installation area, and sunshine resources, and accurately evaluate the capacity configuration of the household photovoltaic system; the present invention evaluates the suitable capacity of the energy storage system by comparing the power generation of the photovoltaic system with the actual household electricity consumption, and based on the energy storage system capacity evaluation, comprehensively considers multiple factors such as user cost investment, possible future increase of electrical equipment, changes in the frequency of use of existing equipment, service life of energy storage equipment, system loss and charging and discharging rules, and finally coordinates to obtain a practical and feasible household photovoltaic system capacity installation plan. This method not only ensures that the energy storage system capacity meets the household electricity demand, but also can make the most of solar energy resources, while reducing the household's investment cost expenditure and effectively improving energy utilization efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 The figure is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0032] In order to better understand the purpose, structure and function of the present invention, and to realize accurate configuration of the capacity of the photovoltaic energy storage system, the present invention can comprehensively consider factors such as the actual household electricity demand, available installation area, and sunshine resources through comprehensive data collection and analysis, and accurately evaluate the capacity configuration of the household photovoltaic system; the present invention compares the power generation of the photovoltaic system with the actual household electricity consumption, evaluates the suitable energy storage system capacity, and comprehensively considers user cost investment, possible future increase of electrical equipment, changes in the frequency of use of existing equipment, service life of energy storage equipment, system loss and charging and discharging rules based on the energy storage system capacity evaluation, and finally coordinates to obtain a practical and feasible household photovoltaic system capacity installation plan. This method not only ensures that the energy storage system capacity meets the household electricity demand, but also can make the most of solar energy resources, while reducing the household's input cost expenditure and effectively improving energy utilization efficiency. A capacity configuration method of a household photovoltaic energy storage system of the present invention is further described in detail.

[0033] refer to Figure 1 The present invention provides a method for configuring the capacity of a household photovoltaic energy storage system, comprising the following steps:

[0034] S1: Collection of household electricity consumption data and data collection operations for PV system installation locations;

[0035] Specifically, the household electricity consumption data includes the types of various electrical appliances in the household, the power of the electrical appliances and the usage time, and also includes the monthly electricity consumption data of the household for an entire year. The data on the installation location of the photovoltaic system includes the size of the area that can be used for the installation of photovoltaic panels of the photovoltaic system, the size of the installation location for the photovoltaic system energy storage batteries and control equipment, and local sunshine resource data. The sunshine resource data includes the annual average sunshine hours and sunshine intensity distribution.

[0036] S2: Analyze household electricity consumption data to obtain the calculated value of the household photovoltaic energy storage system capacity;

[0037] Specifically, the analysis of household electricity consumption data includes the following steps:

[0038] S11: Calculate the daily power consumption data of various electrical appliances in the household, and calculate the sum of the power consumption of various electrical appliances in the household to obtain the total daily power consumption of the household;

[0039] Furthermore, the calculation formula for the sum of the power consumption of various electrical appliances in the household is: W1×t1+W2×t2+W3×t3+W4×t5…+Wn×tn, where W is the rated power of the electrical appliance, and T is the usage time of the electrical appliance.

[0040] S12: Based on the method of step S11, continuously collect data for a household to obtain the total daily electricity consumption data of the household in one year;

[0041] S13: filtering out the data of the total daily electricity consumption in special cases, averaging the remaining data of the total daily electricity consumption, and obtaining the data as the calculated value, and retaining the maximum value of the total daily electricity consumption;

[0042] Furthermore, the data on the total daily electricity consumption in special circumstances include data on daily electricity consumption that is far lower than normal electricity consumption and data on a sudden increase in daily electricity consumption, such as a surge in electricity consumption caused by all family members going out or a party at home, thereby reducing the impact of emergencies on system capacity assessment; and by retaining the maximum value data of the total daily electricity consumption under normal circumstances on a single day, the capacity of the photovoltaic system can be the most important basis. The capacity of the photovoltaic system should be less than this data value to reduce waste.

[0043] S3: Analyze the data of the photovoltaic system installation location to obtain the daily power generation capacity that can be achieved by the household photovoltaic system;

[0044] Specifically, the analysis of the data of the photovoltaic system installation location includes the following steps:

[0045] S31: Determine the number of photovoltaic panels that can be installed at the installation location of the photovoltaic system and the power generation density of the photovoltaic panels of the photovoltaic system, and set the power generation efficiency loss rate value;

[0046] Furthermore, by setting the power generation efficiency loss rate value, the error in the capacity configuration of the photovoltaic system caused by the system's own losses can be effectively reduced, thereby effectively improving the accuracy of the capacity configuration of the photovoltaic system. In actual settings, the power generation efficiency loss rate value is generally not less than 15%.

[0047] S32: extracting local sunshine intensity data and annual average sunshine hours, and calculating daily average sunshine hours based on the annual average sunshine hours data;

[0048] S33: Calculate the power generation data: photovoltaic power generation area × photovoltaic power generation area × daily average sunshine hours, and obtain the daily power generation capacity value that can be achieved by the household photovoltaic system.

[0049] S4: Evaluate the capacity of the energy storage system based on the calculated value of the capacity of the household photovoltaic energy storage system and the daily power generation capacity that can be achieved by the household photovoltaic system, and obtain a configurable value of the capacity of the household photovoltaic system;

[0050] Specifically, the assessment of energy storage system capacity is as follows:

[0051] (1) When the calculated value of the household photovoltaic energy storage system capacity is equal to the daily power generation capacity that the household photovoltaic system can achieve, it means that the energy storage system capacity data obtained based on the existing situation can meet the household electricity needs, and it is necessary to ensure the maximum installation capacity for the photovoltaic system construction;

[0052] (2) When the calculated value of the household photovoltaic energy storage system capacity is greater than the daily power generation capacity that the household photovoltaic system can achieve, it means that the current photovoltaic installation capacity cannot meet the household's electricity needs, and it is necessary to re-plan the installation capacity of the photovoltaic system or connect it to the mains;

[0053] (3) When the calculated value of the household photovoltaic energy storage system capacity is less than the daily power generation capacity that the household photovoltaic system can achieve, it means that the current photovoltaic system installation capacity is greater than the household electricity demand, and the photovoltaic system installation capacity can be reduced.

[0054] S5: Based on the needs of practical factors and the configurable value of the household photovoltaic system capacity, coordinate and design the actual installation plan of the household photovoltaic system capacity;

[0055] Furthermore, the comprehensive factors include one or more of the user's investment cost for the household photovoltaic energy storage system, the possibility of adding new electrical appliances to the household in the future, the increased frequency of use of existing electrical appliances, the service life of the energy storage equipment, the system's own capacity loss, and the impact of the charging and discharging rules of the energy storage system on the usage capacity. This not only ensures that the energy storage system capacity can meet the household's electricity needs and can maximize the use of solar energy resources, but also reduces the household's investment cost expenditure and effectively improves energy utilization efficiency.

[0056] It is to be understood that the present invention is described by some embodiments, and it is known to those skilled in the art that various changes or equivalent substitutions may be made to these features and embodiments without departing from the spirit and scope of the present invention. In addition, under the teachings of the present invention, these features and embodiments may be modified to adapt to specific circumstances and materials without departing from the spirit and scope of the present invention. Therefore, the present invention is not limited by the specific embodiments disclosed herein, and all embodiments falling within the scope of the claims of this application are within the scope of protection of the present invention.

Claims

1. A capacity configuration method for a household photovoltaic energy storage system, characterized in that: The following steps are involved: S1: Collection of household electricity consumption data and data collection operations for PV system installation locations; S2: Analyze household electricity consumption data to obtain the calculated value of the household photovoltaic energy storage system capacity; S3: Analyze the data of the photovoltaic system installation location to obtain the daily power generation capacity that the household photovoltaic system can achieve; S4: Evaluate the capacity of the energy storage system based on the calculated value of the capacity of the household photovoltaic energy storage system and the daily power generation capacity that can be achieved by the household photovoltaic system, and obtain a configurable value of the capacity of the household photovoltaic system; S5: Considering the needs of practical factors and the configurable value of the household photovoltaic system capacity, coordinate and design the actual installation plan of the household photovoltaic system capacity.

2. A capacity configuration method for a household photovoltaic energy storage system according to claim 1, characterized in that: The household electricity consumption data includes the types of various electrical appliances in the household, as well as the power and usage time of the electrical appliances, and also includes the monthly electricity consumption data of the household for an entire year. The data on the installation location of the photovoltaic system includes the size of the area that can be used for the installation of photovoltaic panels of the photovoltaic system, the size of the installation location for the photovoltaic system energy storage batteries and control equipment, and local sunshine resource data. The sunshine resource data includes the annual average sunshine hours and sunshine intensity distribution.

3. A capacity configuration method for a household photovoltaic energy storage system according to claim 2, characterized in that: The analysis of household electricity consumption data includes the following steps: S11: Calculate the daily power consumption data of various electrical appliances in the household, and calculate the sum of the power consumption of various electrical appliances in the household to obtain the total daily power consumption of the household; S12: Based on the method of step S11, continuously collect data for a household to obtain the total daily electricity consumption data of the household in one year; S13: The data of the total daily electricity consumption in special cases are screened out, and the remaining total daily electricity consumption data are averaged. The obtained data is the calculated value, and the maximum value data of the total daily electricity consumption is retained.

4. A capacity configuration method for a household photovoltaic energy storage system according to claim 3, characterized in that: In step S11, the calculation formula for the sum of power consumption of various electrical appliances in the home is: W1×t1+W2×t2+W3×t3+W4×t5…+Wn×tn, where W is the rated power of the electrical appliance and T is the usage time of the electrical appliance.

5. The capacity configuration method of a household photovoltaic energy storage system according to claim 3, characterized in that: The data of the total daily electricity consumption in special cases in step S13 include data of daily electricity consumption far lower than normal electricity consumption and data of sudden increase in daily electricity consumption.

6. A capacity configuration method for a household photovoltaic energy storage system according to claim 1, characterized in that: The analysis of the data of the photovoltaic system installation location includes the following steps: S31: Determine the number of photovoltaic panels that can be installed at the installation location of the photovoltaic system and the power generation density of the photovoltaic panels of the photovoltaic system, and set the power generation efficiency loss rate value; S32: extracting local sunshine intensity data and annual average sunshine hours, and calculating daily average sunshine hours based on the annual average sunshine hours data; S33: Calculate the power generation data: photovoltaic power generation area × photovoltaic power generation area × daily average sunshine hours, and obtain the daily power generation capacity value that can be achieved by the household photovoltaic system.

7. A capacity configuration method for a household photovoltaic energy storage system according to claim 1, characterized in that: The evaluation of the energy storage system capacity in step S4 is specifically as follows: (1) When the calculated value of the household photovoltaic energy storage system capacity is equal to the daily power generation capacity that the household photovoltaic system can achieve, it means that the energy storage system capacity data obtained based on the existing situation can meet the household electricity needs, and it is necessary to ensure the maximum installation capacity for the photovoltaic system construction; (2) When the calculated value of the household photovoltaic energy storage system capacity is greater than the daily power generation capacity that the household photovoltaic system can achieve, it means that the current photovoltaic installation capacity cannot meet the household's electricity needs, and it is necessary to re-plan the installation capacity of the photovoltaic system or connect it to the mains; (3) When the calculated value of the household photovoltaic energy storage system capacity is less than the daily power generation capacity that the household photovoltaic system can achieve, it means that the current photovoltaic system installation capacity is greater than the household electricity demand, and the photovoltaic system installation capacity can be reduced.

8. A capacity configuration method for a household photovoltaic energy storage system according to claim 1, characterized in that: The comprehensive factors include one or more of the user's investment cost in the home photovoltaic energy storage system, the possibility of adding new electrical appliances to the home in the future, the increased frequency of use of existing electrical appliances, the service life of the energy storage equipment, the system's own capacity loss, and the impact of the energy storage system's charging and discharging rules on the usage capacity.

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