CN116054140A - Optimization method and system for power supply by using renewable energy sources - Google Patents
Optimization method and system for power supply by using renewable energy sources Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/004—Generation forecast, e.g. methods or systems for forecasting future energy generation
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/002—Flicker reduction, e.g. compensation of flicker introduced by non-linear load
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/003—Load forecast, e.g. methods or systems for forecasting future load demand
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/26—Arrangements for eliminating or reducing asymmetry in polyphase networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
- H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/00032—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries characterised by data exchange
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/0047—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with monitoring or indicating devices or circuits
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/0068—Battery or charger load switching, e.g. concurrent charging and load supply
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/34—Parallel operation in networks using both storage and other dc sources, e.g. providing buffering
- H02J7/35—Parallel operation in networks using both storage and other dc sources, e.g. providing buffering with light sensitive cells
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/22—The renewable source being solar energy
- H02J2300/24—The renewable source being solar energy of photovoltaic origin
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/28—The renewable source being wind energy
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/40—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation wherein a plurality of decentralised, dispersed or local energy generation technologies are operated simultaneously
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Abstract
The application relates to the technical field of building energy supply, in particular to an optimization method and system for supplying power by using renewable energy. The method comprises the steps of calculating a correlation function based on historical electricity consumption data and historical climate data; based on the historical power generation data and the historical climate data, calculating a correlation function of the power generation data and the climate data; then obtaining climate data prediction information; predicting future electricity consumption data of the user based on the weather data prediction information and a correlation function of the electricity consumption data and the weather data; and predicting future power generation data of a user based on the climate data prediction information and a correlation function of the power generation data and the climate data, and adjusting the inversion direction and the output power of the bidirectional inverter. According to the method and the device, the influence of the climate on the renewable energy source and the influence of the climate on the user electricity consumption data are reduced, the uncertainty of the renewable energy source is reduced, the impact of the uncertainty of the renewable energy source on the power grid is greatly reduced, and the stability of the main power grid is enhanced.
Description
Technical Field
The application relates to the technical field of building energy supply, in particular to an optimization method and system for supplying power by using renewable energy.
Background
At present, with the increasing severity of global environmental pollution, the disadvantages of energy patterns mainly relying on fossil energy are increasingly highlighted, and the development of renewable energy sources to reduce environmental protection requirements is becoming more important. The existing energy-saving technology, such as a batch of green energy technologies of wind power generation, air source heat pump technology, photovoltaic power generation, solar heat collectors and the like, and energy-saving equipment are greatly popularized, the energy-saving concept is well popularized, and the existing building industry combines one of the green energy technologies or integrates a plurality of green energy technologies, so that the whole building is energy-saving.
For example, an air source heat pump is used for utilizing air energy, photovoltaic power generation equipment is arranged for utilizing light energy, a wind-solar complementary system is used for integrating the utilization of wind energy and light energy, and the like. However, even if the existing building integrates various renewable energy sources of wind, gas, light and heat, because the renewable energy sources are greatly affected by the weather, the supply of the renewable energy sources is still uncertain, for example, the photovoltaic power generation can only be carried out on sunny days in the daytime, the wind power generation needs to be carried out when the wind exists, and the long-time continuous and stable power supply cannot be ensured. Thus, there may occur a case where the amount of power generation is insufficient in some climatic environments, and the amount of power generation is excessive in some climatic environments. In the current power system, for the former, insufficient electric quantity is purchased from the main power grid, and for the latter, redundant electric quantity is sold and uploaded to the main power grid. The repeated change of the electric quantity demand of the main power grid is caused, and the stability of the main power grid is reduced. This situation is to be further improved.
Disclosure of Invention
In order to solve the problems that the existing renewable energy source is affected by climate to cause uncertainty in energy source supply and influence on stability of a main power grid, the application provides an optimization method and system for supplying power by using renewable energy source, which adopts the following technical scheme:
in a first aspect, the present application provides an optimization method for power supply using renewable energy, comprising a renewable energy system including a renewable energy power generation device, a power storage device, and a bi-directional inverter; the optimization method comprises the following steps:
calculating a correlation function of electricity consumption data and climate data based on pre-counted historical electricity consumption data and historical climate data;
calculating a correlation function of the power generation data and the climate data based on the historical power generation data and the historical climate data of the renewable energy power generation equipment which are counted in advance; the renewable energy power generation equipment is photovoltaic power generation equipment and wind power generation equipment;
acquiring climate data prediction information in a future T period;
predicting future electricity consumption data of the user in a future T period based on the weather data prediction information and a correlation function of the electricity consumption data and the weather data;
predicting future power generation data of the user in a future period of time T based on the climate data prediction information and a correlation function of the power generation data and the climate data;
and adjusting the inversion direction and the output power of the bidirectional inverter based on the user future electricity utilization data and the user future electricity generation data.
By adopting the technical scheme, the application provides an optimization method for power supply by using renewable energy, and based on historical power consumption data and historical climate data which are counted in advance, a correlation function of the power consumption data and the climate data is calculated; calculating a correlation function of the power generation data and the climate data based on the historical power generation data and the historical climate data of the renewable energy power generation equipment which are counted in advance; then obtaining climate data prediction information in a future T period; predicting future electricity consumption data of the user in a future T period based on the weather data prediction information and a correlation function of the electricity consumption data and the weather data; predicting future power generation data of the user in a future period of time T based on the climate data prediction information and a correlation function of the power generation data and the climate data; and finally, adjusting the inversion direction and the output power of the bidirectional inverter based on the future electricity utilization data of the user and the future electricity generation data of the user.
According to the method, the influence of the climate data on the power generation data of the renewable energy source equipment and the influence of the climate data on the power utilization data of the user are reduced, the uncertainty of utilizing renewable energy source supply is reduced, so that the residual electric quantity of the electric storage equipment can be always kept in a proper range by adjusting the output power of the bidirectional inverter, the power generation requirement of smooth renewable energy sources is met at all times, the situation that the electric quantity of the electric storage equipment is higher and the energy of the renewable energy source power generation equipment is increased too much, or the electric quantity of the energy storage battery is lower and the energy output of the renewable energy source is reduced greatly is avoided, the situation that the user buys electricity to a main power grid actively is reduced, the reduction of the output power of the renewable energy source is avoided, and the value is created for the user; meanwhile, fluctuation of the main power grid is avoided, and stability of the main power grid is improved.
Optionally, in the process of adjusting the inversion direction and the output power of the bi-directional inverter based on the user future electricity consumption data and the user future electricity generation data, including,
when the future electricity utilization data of the user is larger than the future electricity generation data of the user, increasing the output power of the bidirectional inverter for charging the electric storage equipment;
and when the future electricity utilization data of the user is smaller than the future electricity generation data of the user, increasing the output power of the grid-connected discharge of the bidirectional inverter.
By adopting the technical scheme, when the future electricity utilization data of the user is larger than the future electricity generation data of the user, the output power of the bidirectional inverter for charging the electricity storage equipment is increased in advance, so that the electric quantity of the electricity storage equipment is increased, and the electricity storage equipment can provide electric quantity for the subsequent user when the user uses electricity; when the future electricity utilization data of the user is smaller than the future electricity generation data of the user, the output power of the grid-connected discharge of the bidirectional inverter is increased, so that the subsequent generated energy of the renewable energy source equipment can be stored by the electric storage equipment, the generated energy of the renewable energy source electricity generation equipment is fully utilized, electricity taking to a main power grid is reduced, and the cost is saved.
Optionally, before the increasing the output power of the bidirectional inverter to charge the power storage device, the method includes:
and acquiring the residual electric quantity of the electric storage equipment, judging whether the residual electric quantity is larger than residual electric quantity threshold value information, and selling the residual electric quantity if the residual electric quantity is larger than the residual electric quantity threshold value information.
By adopting the technical scheme, when the electric quantity is too high or full, the output of the renewable energy power generation equipment needs to be reduced or stopped for safety, and when the residual electric quantity of the user power storage equipment is larger than the residual electric quantity threshold value information, the surplus electric quantity is sold, so that the income of the user is improved; meanwhile, excessive residual electric quantity of the power storage equipment can be avoided, and safety is guaranteed.
Optionally, before the increasing the output power of the bidirectional inverter to charge the power storage device, the method includes:
and acquiring the residual electric quantity of the power storage equipment, judging whether the residual electric quantity is larger than residual electric quantity threshold value information, and if so, transmitting electric power to other power receiving users.
Through adopting above-mentioned technical scheme, when the electric quantity of power storage equipment is greater than surplus electric quantity threshold value information, the user can carry out power transmission to other power receiving users, through this, makes the supply and demand of each user in the region satisfy each other, improves the utilization ratio to renewable energy.
Alternatively, when power is transmitted to other power receiving users, power is transmitted to the power storage devices of the other power receiving users through the renewable energy power generation devices of the users.
Through adopting above-mentioned technical scheme, when carrying out power transmission to other power receiving users, directly carry out power transmission to other power receiving users 'power storage equipment through user's renewable energy power generation equipment, realize the supply and demand balance of user in the region, simultaneously, reduce the transmission of electric energy between each user and main electric wire netting, alleviate electric wire netting load.
Optionally, in the process of calculating the correlation function between the electricity consumption data and the climate data based on the pre-counted historical electricity consumption data and the historical climate data of the user, the method comprises the following steps:
inputting the climate parameter data and the electricity consumption data in the period T into at least one preset electricity consumption data analysis model, and calculating a correlation function of the electricity consumption data and the climate parameter data; wherein the climate parameter is air temperature.
By adopting the technical scheme, the related function of the electricity consumption data and the climate parameter data is calculated by inputting the climate parameter data and the electricity consumption data in the period T into at least one preset electricity consumption data analysis model, wherein the main climate parameter affecting the electricity consumption data of a user is air temperature, and the association relation between the electricity consumption data and the air temperature is obtained by inputting the air temperature data and the electricity consumption data into the preset electricity consumption data analysis model for analysis, so that the influence of air temperature change on the electricity consumption data is reduced.
Optionally, in the process of calculating the correlation function of the power generation data and the climate data based on the historical power generation data and the historical climate data of the renewable energy power generation equipment counted in advance, the method comprises the following steps:
inputting climate parameter data and electricity consumption data in a period T into at least one preset power generation data analysis model, and calculating a correlation function of the power generation data and the climate parameter data; wherein the climate parameters are solar radiation, wind speed and wind quantity.
By adopting the technical scheme, the method and the device calculate the correlation function of the power generation data and the climate parameter data by inputting the climate parameter data and the power consumption data in the period T into at least one preset power generation data analysis model; wherein the climate parameters are solar radiation, wind speed and wind quantity; solar radiation mainly influences the generated energy of photovoltaic power generation equipment, and wind speed and wind quantity mainly influence the generated energy of wind power generation equipment; the solar radiation, wind speed and wind volume data and the power generation data are input into a preset power generation data analysis model for analysis, so that the association relation between the power generation data and the solar radiation, wind speed and wind volume is obtained, and the influence of temperature change on the power utilization data is reduced.
In a second aspect, the present application provides an optimization system for power using renewable energy, comprising:
the correlation function calculation module of the electricity consumption data and the climate data is used for calculating the correlation degree of the electricity consumption data and the climate data based on the user historical electricity consumption data and the historical climate data which are counted in advance;
the related function calculation module of the power generation data and the climate data is used for calculating a related function of the power generation data and the climate data based on the historical power generation data and the historical climate data of the renewable energy power generation equipment which are counted in advance;
the climate data prediction information acquisition module is used for acquiring climate data prediction information in a future T period;
the user future electricity utilization data prediction module predicts the user future electricity utilization data in a future T period based on the weather data prediction information and a correlation function of the electricity utilization data and the weather data;
the user future power generation data prediction module is used for predicting user future power generation data in a future T period based on weather data prediction information and a correlation function of the power generation data and the weather data;
and the adjusting module is used for adjusting the inversion direction and the output power of the bidirectional inverter based on the future electricity utilization data of the user and the future electricity generation data of the user.
By adopting the technical scheme, the application provides an optimization system utilizing renewable energy, and a correlation function calculation module of electricity data and climate data calculates a correlation function of the electricity data and the climate data based on historical electricity data and historical climate data which are counted in advance; the related function calculation module of the power generation data and the climate data calculates a related function of the power generation data and the climate data based on the historical power generation data and the historical climate data of the renewable energy power generation equipment which are counted in advance; then, the climate data prediction information acquisition module acquires climate data prediction information in a future T period; the user future electricity utilization data prediction module predicts the user future electricity utilization data in a future T period based on the climate data prediction information and a correlation function of the electricity utilization data and the climate data; the user future power generation data prediction module predicts user future power generation data in a future T period based on the climate data prediction information and a correlation function of the power generation data and the climate data; and finally, the adjusting module adjusts the inversion direction and the output power of the bidirectional inverter based on the future electricity utilization data of the user and the future electricity generation data of the user. According to the method and the device, the influence of the climate data on the power generation data of the renewable energy equipment and the influence of the climate data on the power utilization data of the user are reduced, the uncertainty of the renewable energy supply is reduced, so that the electric quantity scheduling can be performed in advance, the impact of the uncertainty of the renewable energy on a power grid is greatly reduced, and the stability of the power grid is enhanced.
In a third aspect, the present application provides a computer readable storage medium storing a computer program capable of being loaded by a processor and performing any one of the above methods of optimizing renewable energy sources.
In a fourth aspect, the present application provides a terminal device comprising a memory and a processor, the memory storing a computer program capable of being loaded by the processor and performing any one of the above-described methods of optimizing renewable energy sources.
In summary, the present application includes at least one of the following beneficial technical effects:
1. according to the method and the device, the influence of the climate on the renewable energy source and the influence of the climate on the user power consumption data are reduced by predicting the future power supply and the future power consumption data, and the uncertainty of the renewable energy source is reduced, so that the inversion direction and the output power of the bidirectional inverter can be adjusted in advance, the impact of the uncertainty of the renewable energy source on a power grid is greatly reduced, and the stability of the power grid is enhanced;
2. when power transmission is carried out to other power receiving users, the renewable energy power generation equipment of the users directly carries out power transmission to the power storage equipment of the other power receiving users, so that supply and demand balance of the users in the area is realized, and meanwhile, the transmission of electric energy between each user and a main power grid is reduced, and the load of the power grid is lightened.
Drawings
FIG. 1 is a schematic view of a scenario of an optimization method for power supply using renewable energy according to an embodiment of the present application;
FIG. 2 is a schematic flow chart of an optimization method for power supply by using renewable energy according to an embodiment of the present application;
FIG. 3 is a schematic diagram of an optimization system powered by renewable energy according to an embodiment of the present application;
fig. 4 is a schematic diagram of a terminal device of the present application.
Reference numerals illustrate: 310. the related function calculation module of the electricity consumption data and the climate data; 320. the related function calculation module is used for calculating the related functions of the power generation data and the climate data; 330. the climate data prediction information acquisition module; 340. the user future electricity utilization data prediction module; 350. a user future power generation data prediction module; 360. an adjustment module; 410. a memory; 420. a processor.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present application will be further described in detail with reference to the accompanying drawings 1-4 and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
It should be noted that, in the embodiments of the present application, words such as "exemplary" or "such as" or "for example" are used to mean serving as examples, illustrations, or descriptions. Any embodiment or design described herein as "exemplary" or "such as" or "for example" is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "such as" or "for example" is intended to present related concepts in a concrete fashion.
It should also be noted that the terms "first," "second," and "third," etc. in the description and figures of this application are used for distinguishing between different objects or between different processes of the same object and not for describing a particular sequential order of objects. The terms "comprising" and "having" and any variations thereof, as referred to in the description of the present application, are intended to cover non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed but may optionally include other steps or elements not listed or inherent to such process, method, article, or apparatus.
In the existing building industry, green energy technologies such as wind power generation, air source heat pump technology, photovoltaic power generation, solar heat collectors and the like are generally used to achieve energy conservation of the whole building.
The existing building integrates various renewable energy sources such as wind, gas, light, heat and the like, but because the renewable energy sources are greatly influenced by weather, the building which utilizes the supply of the renewable energy sources has uncertainty, for example, photovoltaic power generation can only be carried out on sunny days in daytime, wind power generation needs to be carried out when wind exists, and long-time continuous and stable power supply cannot be ensured. Thus, there may occur a case where the amount of power generation is insufficient in some climatic environments, and the amount of power generation is excessive in some climatic environments. In the current power system, when the generated energy is insufficient, insufficient electric quantity can be purchased from the main power grid, when the generated energy is excessive, the excessive electric quantity can be sold and uploaded to the main power grid, so that repeated change of electric quantity requirements of the main power grid is caused, and the stability of the main power grid is reduced.
Based on the situation, the application provides a renewable energy optimization method and a renewable energy optimization system, so that the electricity supply of the renewable energy and the electricity consumption of a user are predicted, the impact of uncertainty of the renewable energy on a power grid is reduced, and the reliability of the power grid is improved. Referring to fig. 1, a wind power generation device, an air source heat pump device, a photovoltaic power generation device, a solar heat collection device are provided in a user's building to use natural wind, gas, light, heat energy sources; and the redundant electric quantity is stored through the electric storage equipment, DC/AC grid-connected discharging is realized through the bidirectional inverter, and the electric storage equipment can be charged through AC/DC grid connection. Through directly carrying out electric power transmission between user's building in the region and the user's building, when user's building can't satisfy self demand, and other user's buildings in the region can't satisfy its demand, rethread main electric wire netting transmission electric power.
In a first aspect, the present application provides a method for optimizing renewable energy, referring to fig. 2, including the steps of:
and S100, calculating a correlation function of the electricity consumption data and the climate data based on the historical electricity consumption data and the historical climate data which are counted in advance.
The historical electricity consumption data of the user can be obtained through the intelligent electric meter, wherein the historical electricity consumption data obtained by the intelligent electric meter is total electricity consumption data of the user, namely, the electricity consumption data of all electric equipment of the user are added. The historical climate data can be searched from the global climate data statistical network, in this embodiment, the historical climate data is the historical climate data of the area where the user is located, and the climate data at least comprises climate parameter data such as air temperature, solar radiation, air quantity, wind speed and the like.
And S200, calculating a correlation function of the power generation data and the climate data based on the historical power generation data and the historical climate data of the renewable energy power generation equipment which are counted in advance.
The renewable energy power generation equipment is photovoltaic power generation equipment and wind power generation equipment; the historical power generation data of the renewable energy power generation equipment can be obtained through an electric energy meter connected with the renewable energy power generation equipment, for example, the historical power generation data of the photovoltaic power generation equipment is searched from a photovoltaic electric meter, and the historical power generation data of the wind power generation equipment is obtained from a wind power generation electric meter connected with the wind power generation equipment.
S300, weather data prediction information in a future T period is acquired.
The climate data prediction information in the period T can be acquired from global climate data statistics network, and the climate data in the climate data prediction information at least comprises climate parameter data such as air temperature, solar radiation, air quantity and wind speed.
S400, predicting future electricity utilization data of the user in a future T period based on weather data prediction information and a correlation function of the electricity utilization data and the weather data.
The correlation function of the electricity data and the climate data calculated through the historical electricity data and the historical climate data can be approximately used as a reference of the correlation degree of the electricity data and the climate data, and the future electricity data of a user in a future T period can be predicted by acquiring the climate data prediction information in the future T period.
S500, predicting future power generation data of the user in a future T period based on the weather data prediction information and a correlation function of the power generation data and the weather data.
The correlation function of the power generation data and the climate data calculated through the historical power generation data and the historical climate data can be approximately used as a reference of the correlation degree of the power generation data and the climate data, and the future power generation data of a user in a future T period can be predicted by acquiring the climate data prediction information in the future T period.
And S600, adjusting the inversion direction and the output power of the bidirectional inverter based on the future electricity utilization data of the user and the future electricity generation data of the user.
The bidirectional inverter can realize grid-connected discharging and can also charge the power storage equipment in a grid-connected mode.
According to the method and the device, the influence of the climate data on the power generation data of the renewable energy equipment and the influence of the climate data on the power utilization data of the user are reduced, the uncertainty of the renewable energy supply is reduced, so that the electric quantity scheduling can be performed in advance, the impact of the uncertainty of the renewable energy on a power grid is greatly reduced, and the stability of the power grid is enhanced.
In some possible implementations, in the adjusting the inversion direction and the output power of the bi-directional inverter based on the user future electricity usage data and the user future electricity generation data, including,
when the future electricity utilization data of the user is larger than the future electricity generation data of the user, increasing the output power of the bidirectional inverter for charging the electric storage equipment;
and when the future electricity utilization data of the user is smaller than the future electricity generation data of the user, increasing the output power of the grid-connected discharge of the bidirectional inverter.
When the future electricity utilization data of the user is larger than the future electricity generation data of the user, the output power of the bidirectional inverter for charging the electricity storage equipment is increased in advance, so that the electricity storage equipment can provide electricity for the subsequent user when the electricity is used; when the future electricity utilization data of the user is smaller than the future electricity generation data of the user, the output power of the grid-connected discharge of the bidirectional inverter is increased, so that the subsequent generated energy of the renewable energy source equipment can be stored by the electric storage equipment, the generated energy of the renewable energy source electricity generation equipment is fully utilized, electricity taking to a main power grid is reduced, and the cost is saved.
In some possible implementations, before the increasing the output power of the bidirectional inverter to charge the electrical storage device, the method includes:
and acquiring the residual electric quantity of the electric storage equipment, judging whether the residual electric quantity is larger than residual electric quantity threshold value information, and selling the residual electric quantity if the residual electric quantity is larger than the residual electric quantity threshold value information.
The remaining capacity threshold information is a preset maximum value of the remaining capacity of the storage battery when the safety of the storage equipment is ensured, and can be set according to the condition of the storage battery. When the electric quantity is too high or full, the output of the renewable energy power generation equipment needs to be reduced or stopped for safety, and when the residual electric quantity of the user power storage equipment is larger than the residual electric quantity threshold value information, the surplus electric quantity is sold, so that the income of the user is improved; meanwhile, excessive residual electric quantity of the power storage equipment can be avoided, and safety is guaranteed.
In some possible implementations, before the increasing the output power of the bidirectional inverter to charge the electrical storage device, further includes:
and acquiring the residual electric quantity of the power storage equipment, judging whether the residual electric quantity is larger than residual electric quantity threshold value information, and if so, transmitting electric power to other power receiving users.
When the electric quantity of the electric storage equipment is larger than the residual electric quantity threshold value information, the user can transmit electric power to other power receiving users, so that supply and demand of each user in the area are mutually met, and the utilization rate of renewable energy sources is improved.
Further, when power transmission is performed to other power receiving users, power transmission is performed to the power storage equipment of other power receiving users through the renewable energy power generation equipment of the users, so that supply and demand balance of the users in the area is achieved, meanwhile, transmission of electric energy between each user and a main power grid is reduced, and power grid load is reduced.
In some possible implementations, in the process of calculating the correlation function of the electricity data and the climate data based on the pre-statistical user historical electricity data and the historical climate data, the method includes:
inputting the climate parameter data and the electricity consumption data in the period T into at least one preset electricity consumption data analysis model, and calculating a correlation function of the electricity consumption data and the climate parameter data; wherein the climate parameter is air temperature.
In this embodiment, the electric power data analysis model uses air temperature as an independent variable, uses electric power data as a dependent variable, calculates according to historical electric power data of the user and air temperature parameter data in the historical climate data, and establishes a regression analysis equation on the basis of the air temperature, so as to obtain an electric power data analysis model. In other embodiments, the electrical data analysis model may also have multiple independent variables, such as air temperature, air humidity, and the like.
In some possible implementations, in the process of calculating the correlation function of the power generation data and the climate data based on the historical power generation data and the historical climate data of the renewable energy power generation device of the pre-statistics, the method includes:
inputting climate parameter data and electricity consumption data in a period T into at least one preset power generation data analysis model, and calculating a correlation function of the power generation data and the climate parameter data; wherein the climate parameters are solar radiation, wind speed and wind quantity.
The main climate parameters affecting the generated energy of the power generation equipment are solar radiation, wind speed and wind quantity, the solar radiation mainly affects the generated energy of the photovoltaic power generation equipment, the wind speed and the wind quantity mainly affects the generated energy of the wind energy power generation equipment, in the embodiment, the generated data analysis model takes the solar radiation, the wind speed and the wind quantity as independent variables, and the generated data as dependent variables, and a multiple regression analysis equation is built on the basis to obtain the generated data analysis model. In other embodiments, the power generation data analysis model may also incorporate other arguments.
In a second aspect, the present application provides an optimization system for power using renewable energy, comprising:
a correlation function calculation module 310 for calculating the correlation between the electricity consumption data and the climate data based on the previously counted historical electricity consumption data and the historical climate data of the user;
a correlation function calculation module 320 for calculating a correlation function of the power generation data and the climate data based on the historical power generation data and the historical climate data of the renewable energy power generation equipment counted in advance;
a climate data prediction information acquisition module 330, configured to acquire climate data prediction information in a future T period;
the user future electricity consumption data prediction module 340 predicts the user future electricity consumption data within the future T period based on the climate data prediction information and the correlation function of the electricity consumption data and the climate data;
a user future power generation data prediction module 350, configured to predict user future power generation data within a future T period based on the climate data prediction information and a correlation function of the power generation data and the climate data;
the adjustment module 360 is configured to adjust the inversion direction and the output power of the bi-directional inverter based on the user future power consumption data and the user future power generation data.
The implementation principle of the optimizing system for supplying power by using renewable energy sources in the embodiment of the application is as follows: the correlation function calculation module 310 for electricity data and climate data calculates a correlation function for electricity data and climate data based on historical electricity data and historical climate data which are counted in advance; the correlation function calculation module 320 of the power generation data and the climate data calculates a correlation function of the power generation data and the climate data based on the historical power generation data and the historical climate data of the renewable energy power generation equipment counted in advance; the climate data prediction information acquisition module 330 then acquires climate data prediction information within a future T period; the user future electricity usage data prediction module 340 predicts the user future electricity usage data within the future T period based on the climate data prediction information and the correlation function of the electricity usage data and the climate data; the user future power generation data prediction module 350 predicts user future power generation data within a future T period based on the climate data prediction information and a correlation function of the power generation data and the climate data; finally, the adjustment module 360 adjusts the bi-directional inverter direction and output power based on the user future power usage data and the user future power generation data. According to the method and the device, the influence of the climate data on the power generation data of the renewable energy equipment and the influence of the climate data on the power utilization data of the user are reduced, the uncertainty of the renewable energy supply is reduced, so that the electric quantity scheduling can be performed in advance, the impact of the uncertainty of the renewable energy on a power grid is greatly reduced, and the stability of the power grid is enhanced.
In a third aspect, the present application provides a computer readable storage medium having stored thereon a computer program capable of being loaded by the processor 420 and performing any one of the above-described methods of optimizing renewable energy sources.
In a fourth aspect, the present application provides a terminal device comprising a memory 410 and a processor 420, said memory 410 storing a computer program capable of being loaded by the processor 420 and performing any one of the above described methods of optimizing renewable energy.
The foregoing are all preferred embodiments of the present application, and are not intended to limit the scope of the present application in any way, therefore: all equivalent changes in structure, shape and principle of this application should be covered in the protection scope of this application.
Claims (10)
1. An optimization method for supplying power by using renewable energy sources is characterized by comprising a renewable energy source system, wherein the renewable energy source system comprises renewable energy source power generation equipment, electric storage equipment and a bidirectional inverter; the optimization method comprises the following steps:
calculating a correlation function of electricity consumption data and climate data based on pre-counted historical electricity consumption data and historical climate data;
calculating a correlation function of the power generation data and the climate data based on the historical power generation data and the historical climate data of the renewable energy power generation equipment which are counted in advance; the renewable energy power generation equipment is photovoltaic power generation equipment and wind power generation equipment;
acquiring climate data prediction information in a future T period;
predicting future electricity consumption data of the user in a future T period based on the weather data prediction information and a correlation function of the electricity consumption data and the weather data;
predicting future power generation data of the user in a future period of time T based on the climate data prediction information and a correlation function of the power generation data and the climate data;
and adjusting the inversion direction and the output power of the bidirectional inverter based on the user future electricity utilization data and the user future electricity generation data.
2. The method of optimizing power supplied by renewable energy according to claim 1, wherein, in the process of adjusting the inversion direction and the output power of the bi-directional inverter based on the user future power consumption data and the user future power generation data, comprising,
when the future electricity utilization data of the user is larger than the future electricity generation data of the user, increasing the output power of the bidirectional inverter for charging the electric storage equipment;
and when the future electricity utilization data of the user is smaller than the future electricity generation data of the user, increasing the output power of the grid-connected discharge of the bidirectional inverter.
3. An optimizing method for power supply using renewable energy according to claim 2, characterized by comprising, before said increasing the output power of the bidirectional inverter for charging the electric storage device:
and acquiring the residual electric quantity of the electric storage equipment, judging whether the residual electric quantity is larger than residual electric quantity threshold value information, and selling the residual electric quantity if the residual electric quantity is larger than the residual electric quantity threshold value information.
4. An optimizing method for power supply using renewable energy according to claim 2, characterized by comprising, before said increasing the output power of the bidirectional inverter for charging the electric storage device:
and acquiring the residual electric quantity of the power storage equipment, judging whether the residual electric quantity is larger than residual electric quantity threshold value information, and if so, transmitting electric power to other power receiving users.
5. The method for optimizing power supply using renewable energy according to claim 4, wherein: when power is transmitted to other power receiving users, power is transmitted to the power storage devices of the other power receiving users through the renewable energy power generation devices of the users.
6. The method of optimizing power supplied by renewable energy according to claim 1, wherein in the process of calculating a correlation function of electricity data and climate data based on the pre-counted user historical electricity data and historical climate data, the method comprises:
inputting the climate parameter data and the electricity consumption data in the period T into at least one preset electricity consumption data analysis model, and calculating a correlation function of the electricity consumption data and the climate parameter data; wherein the climate parameter is air temperature.
7. The method for optimizing power supply using renewable energy according to claim 1, wherein in the process of calculating a correlation function of power generation data and climate data based on historical power generation data and historical climate data of the renewable energy power generation device counted in advance, comprising:
inputting climate parameter data and electricity consumption data in a period T into at least one preset power generation data analysis model, and calculating a correlation function of the power generation data and the climate parameter data; wherein the climate parameters are solar radiation, wind speed and wind quantity.
8. An optimization system powered by renewable energy, comprising:
a correlation function calculation module (310) of electricity data and climate data, which is used for calculating the correlation degree of the electricity data and the climate data based on the historical electricity data of the user and the historical climate data which are counted in advance;
a correlation function calculation module (320) of the power generation data and the climate data, which is used for calculating a correlation function of the power generation data and the climate data based on the historical power generation data and the historical climate data of the renewable energy power generation equipment which are counted in advance;
a climate data prediction information acquisition module (330) for acquiring climate data prediction information within a future T period;
a user future electricity consumption data prediction module (340) that predicts user future electricity consumption data within a future T period based on the climate data prediction information and a correlation function of the electricity consumption data and the climate data;
a user future power generation data prediction module (350) for predicting user future power generation data within a future T period based on the climate data prediction information and a correlation function of the power generation data and the climate data;
and the adjusting module (360) is used for adjusting the inversion direction and the output power of the bidirectional inverter based on the future electricity utilization data of the user and the future electricity generation data of the user.
9. A computer-readable storage medium, characterized by: the computer readable storage medium stores a computer program capable of being loaded by a processor (420) and performing an optimization method of power supply to a renewable energy device according to any one of claims 1-7.
10. A terminal device, characterized by: comprising a memory (410) and a processor (420), said memory (410) storing a computer program capable of being loaded by the processor (420) and performing a method of optimizing the power supply of a renewable energy device according to any one of claims 1-7.
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| CN116885771B (en) * | 2023-06-19 | 2024-01-30 | 广东永光新能源科技有限公司 | Renewable energy grid-connected power generation analysis method, system, terminal and storage medium |
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