CN115065104B - Micro-grid multi-energy integrated dispatching system - Google Patents

Micro-grid multi-energy integrated dispatching system Download PDF

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CN115065104B
CN115065104B CN202210972927.6A CN202210972927A CN115065104B CN 115065104 B CN115065104 B CN 115065104B CN 202210972927 A CN202210972927 A CN 202210972927A CN 115065104 B CN115065104 B CN 115065104B
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power generation
generation device
energy
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CN115065104A (en
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吴淦浩
明德全
彭佩如
冯智斌
曾志敏
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China ComService Construction Co Ltd
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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
    • H02J3/466—Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
    • 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
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
    • 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
    • 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
    • H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
    • H02J3/241—The oscillation concerning frequency
    • 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
    • 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
    • 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
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P80/00—Climate change mitigation technologies for sector-wide applications
    • Y02P80/10—Efficient use of energy, e.g. using compressed air or pressurized fluid as energy carrier
    • Y02P80/14—District level solutions, i.e. local energy networks

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  • Power Engineering (AREA)
  • Human Computer Interaction (AREA)
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Abstract

The invention discloses a micro-grid multi-energy integrated dispatching system, which belongs to the technical field of micro-grid control and specifically comprises the following steps: the data acquisition module is used for acquiring the power generation power and the environmental data of the renewable energy power generation device; the cloud platform generates a change curve of the generated power and the environmental data along with historical time, and marks the change curve as a historical change curve; generating a curve of the environmental data changing with future time; the power prediction module is used for comparing the historical change curve with a change curve of environmental data along with future time to obtain a generated power prediction curve; a power scheduling module for obtaining a future time period t1Average generated power in the grid and setting the micro-grid to be in the future time period t1The rated output power in the micro-grid is controlled by the power storage device to regulate the output power of the micro-grid; the invention realizes the stable scheduling of the output power of the micro-grid and avoids the influence of the output power fluctuation on the main grid.

Description

Micro-grid multi-energy integrated dispatching system
Technical Field
The invention relates to the technical field of microgrid control, in particular to a microgrid multi-energy integrated dispatching system.
Background
The micro-grid is also called a distributed energy island system, is a small power generation and distribution system formed by collecting a distributed power supply, an energy storage device, an energy conversion device and a protection device, is an autonomous system capable of realizing self control, protection and management, and can be operated in a grid-connected mode with an external main grid or in an isolated mode. The independent micro-grid is an important component of an intelligent power grid, a main power supply is required to support voltage and frequency stability in the power grid, the independent micro-grid comprises photovoltaic power generation, photo-thermal power generation, wind power generation, diesel power generation and the like, and the energy storage device comprises a super capacitor, a flywheel, a storage battery and the like. The micro-grid is connected to the user side, and has the characteristics of low cost, low voltage, low pollution and the like. The micro-grid can be connected with a large power grid for operation, and can also be disconnected from the main grid for independent operation when the power grid fails or needs.
Because the generated power of new energy such as photovoltaic, light and heat and wind-powered electricity generation often has intermittence, these renewable energy power generation are influenced by weather factor, generally all are the power of intermittent type nature electricity generation, and because the generated energy dispersion, so generally all be distributed power source, the distributed power source of intermittent type nature electricity generation directly merges into main power grid, can cause serious influence to the operation and the stability of electric wire netting, so need a little electric wire netting multi-energy integrated scheduling system for the generated power of renewable energy power generation facility in the future certain time in the prediction little electric wire netting, carry out stable scheduling to little electric wire netting's output according to the generated power.
Disclosure of Invention
The invention aims to provide a micro-grid multi-energy integrated dispatching system, which solves the following technical problems:
because the generated power of new energy such as photovoltaic, light and heat and wind-powered electricity generation often has intermittence, these renewable energy power generation receive the influence of weather factor, generally are the power of intermittent type nature electricity generation, and because the generating energy dispersion, so generally all be distributed power source, the distributed power source of intermittent type nature electricity generation directly merges into main power grid, can cause serious influence to the operation and the stability of electric wire netting, so need a dispatch system of stable little electric wire netting output.
The purpose of the invention can be realized by the following technical scheme:
a microgrid multi-energy integrated dispatching system for controlling a microgrid connected to a main power grid, comprising:
the data acquisition module is used for acquiring the power generation power and the environmental data of the renewable energy power generation device, and the multi-energy power generation device comprises a renewable energy power generation device and a fossil energy power generation device;
the cloud platform is used for storing the generated power and the environmental data of the renewable energy power generation device and respectively generating a generated power historical change curve and an environmental data historical change curve; acquiring weather forecast and generating a curve of the environmental data changing with the future time;
power prediction module forTaking a future time period t1The method comprises the steps that an internal environment data change curve along with time is marked as a first change curve, a curve segment with the highest similarity to the first change curve in an environment data historical change curve is extracted, the curve segment is marked as a second change curve, and a generated power historical change curve in the same time period as the second change curve is extracted and marked as a generated power prediction curve;
a power scheduling module for obtaining a future time period t according to the generated power prediction curve1Average generated power in the micro-grid, setting the average generated power as the future time period t1When the actual power generation power is lower than the rated output power, the energy storage device releases the electric quantity to maintain the rated output power.
As a further scheme of the invention: the power optimization module is further included, and the processing process of the power optimization module is as follows:
when the actual power generation power of the renewable energy power generation device is higher than the rated output power and the energy storage device reaches the upper limit of electric quantity storage, the connection between the renewable energy power generation device and the microgrid is cut off, and the fossil energy power generation device is started to generate electricity together with the fossil energy device and the energy storage device to maintain the output power;
and when the actual power generation power of the renewable energy power generation device is lower than the rated output power and the energy storage device does not output extra electric quantity, starting the fossil energy power generation device, and jointly generating power through the fossil energy device and the renewable energy power generation device to maintain the output power.
As a further scheme of the invention: renewable energy power generation facility that data acquisition module gathered includes photovoltaic power generation facility, light and heat power generation facility and wind power generation set, fossil energy power generation facility is diesel power generation set, the environmental data that data acquisition module gathered includes wind speed, illumination intensity and temperature, photovoltaic power generation facility with light and heat power generation set's generated power is directly correlated with illumination intensity and temperature, wind power generation set's generated power is directly correlated with the wind speed.
As a further scheme of the invention: the process of the power prediction module for obtaining the generated power prediction curve is as follows:
fitting the first change curve to obtain a first fitted curve; and extracting m sections of sub-curves in the historical change curve, which are different in date and same in time period as the first change curve, wherein m is a positive integer, fitting the sub-curves respectively to obtain fitted sub-curves, comparing the fitted sub-curves with the first fitted curve respectively in similarity, extracting the fitted sub-curve with the highest similarity to the first fitted curve, and marking the fitted sub-curve as a second fitted curve.
As a further scheme of the invention: the specific process of fitting the first change curve and the sub-curve by the power prediction module is as follows:
fitting by using a least square parabola, and respectively obtaining N points in the first change curve and the sub-curve at fixed intervals, wherein N is a positive integer, and the parabola fitting function formula is as follows:
Y=At2+Bt+C，
y is environment data, t is time, and the solving formula of A, B and C is as follows:
Figure 149334DEST_PATH_IMAGE001
Figure 494865DEST_PATH_IMAGE002
as a further scheme of the invention: the cloud platform classifies the generated power and the environmental data according to the collected date, and when the power prediction module extracts the sub-curves which are different in date and the same in time period as the first change curve, the power prediction module preferentially extracts the sub-curves which are different in year and the same in day as the first change curve, and the sub-curves which are the same in month as the first change curve are extracted in the second best.
As a further scheme of the invention: the cloud platform acquires weather forecast data in real time and updates the environmental data in the futureTime curve of the time period t1Set to be the same as the distribution interval of the weather forecast.
As a further scheme of the invention: the power prediction module is further used for acquiring the next time period t of the microgrid1The power scheduling module sets the next time period t1And will follow the next time period t1Is sent to the main grid dispatching centre.
The invention has the beneficial effects that:
(1) According to the method, the historical environmental data and the future environmental data of the area where the renewable energy device is located are respectively fitted to obtain a fitting curve, interference is eliminated, and comparison is facilitated, so that the generation power of the renewable energy power generation device in a certain time in the future is predicted according to historical big data, the rated output power of the microgrid is set, the generation power of the renewable energy is regulated and controlled through the energy storage device and the fossil energy power generation device, stable regulation and control of the output power of the microgrid are achieved, the influence of the generation power fluctuation of the renewable energy on a main power grid is avoided, and the renewable energy can be utilized to the maximum extent.
Drawings
The invention is further described below with reference to the accompanying drawings.
Fig. 1 is a schematic block diagram of a microgrid multi-energy integrated dispatching system according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention is a micro grid multi-energy integrated dispatching system for controlling a micro grid connected to a main grid, including:
the data acquisition module is used for acquiring the power generation power and the environmental data of the renewable energy power generation device, and the multi-energy power generation device comprises a renewable energy power generation device and a fossil energy power generation device;
the cloud platform is used for storing the generated power and the environmental data of the renewable energy power generation device and respectively generating a generated power historical change curve and an environmental data historical change curve; acquiring weather forecast and generating a change curve of environmental data along with future time;
a power prediction module for extracting the future time period t1The method comprises the steps that an internal environment data change curve along with time is marked as a first change curve, a curve section with the highest similarity with the first change curve in an environment data historical change curve is extracted and marked as a second change curve, and a generating power historical change curve in the same time period as the second change curve is extracted and marked as a generating power prediction curve;
a power scheduling module for obtaining a future time period t according to the generated power prediction curve1Average generated power in the micro-grid, setting the average generated power as the future time period t1When the actual power generation power is lower than the rated output power, the energy storage device releases the electric quantity to maintain the rated output power.
The photovoltaic, photo-thermal, wind power and other new energy sources often have intermittence, the renewable energy sources are generally power sources for intermittent generation due to the influence of weather factors, and the power sources are dispersed, so the distributed power sources are generally distributed power sources, and the distributed power sources for intermittent generation are directly merged into a main power grid and can seriously affect the operation and stability of the power grid, so a microgrid multi-energy source integrated scheduling system is needed for predicting the generated power of a renewable energy source power generation device in the microgrid in a certain time in the future and stably scheduling the output power of the microgrid according to the generated power;
according to the method, historical power generation power and environmental data of renewable energy are collected and recorded, a curve of the environmental data changing along with time is generated, then the environmental data related to the renewable energy power generation device is obtained according to weather forecast issued by a weather station in real time, a curve of the environmental data changing along with future time is generated, a power prediction time scale is set to be 1 hour according to the interval time of the weather forecast issued by the weather station, so that when the weather forecast is updated next time, a prediction period is just finished, and a new change curve is generated again; in order to remove interference and facilitate comparison, the future change curve of the environmental data and the historical change curve of the environmental data are respectively subjected to fitting processing, so that 1 hour with the most similar degree to the environmental data curve of 1 hour in the future is obtained in the historical change curve, the change of the generating power of 1 hour at the time is set as the change of the generating power of the renewable energy power generation device of 1 hour in the future, the average power of 1 hour is obtained and is used as the rated output power of 1 hour in the future of the microgrid, and the electric quantity output by the renewable energy is regulated and controlled through the energy storage device, so that the stability of the output power of the microgrid is realized, the operation of a main power grid is not influenced, and the renewable energy can be utilized as much as possible.
In a preferred embodiment of the present invention, the system further includes a power optimization module, and the processing procedure of the power optimization module is:
when the actual power generation power of the renewable energy power generation device is higher than the rated output power and the energy storage device reaches the upper limit of electric quantity storage, the connection between the renewable energy power generation device and the microgrid is cut off, and the fossil energy power generation device is started to generate electricity together with the fossil energy device and the energy storage device to maintain the output power;
when the actual power generation power of the renewable energy power generation device is lower than the rated output power and the energy storage device does not output extra electric quantity, the fossil energy power generation device is started, and the fossil energy device and the renewable energy power generation device jointly generate electricity to maintain the output power;
due to the complexity of a weather system, the possibility that historical environmental data are identical to current environmental data is low, and a power generation device is also lost along with the lapse of time, even if the environmental data are identical, the power generation power is not necessarily identical, the situation may cause the difference between the actual output power and the rated output power of the microgrid, and although the energy storage device can make up for the difference, after long-term accumulation, the accumulated electric quantity or the consumed electric quantity can also reach the capacity limit of the energy storage device, at the moment, the energy storage device cannot play a role in adjusting the output power, and the fluctuating power can influence the normal operation of the microgrid and the main power grid.
In another preferred embodiment of the present invention, the renewable energy power generation device collected by the data collection module includes a photovoltaic power generation device, a photo-thermal power generation device and a wind power generation device, the fossil energy power generation device is a diesel power generation device, the environmental data collected by the data collection module includes wind speed, illumination intensity and temperature, the power generation powers of the photovoltaic power generation device and the photo-thermal power generation device are positively correlated with the illumination intensity and the temperature, and the power generation power of the wind power generation device is positively correlated with the wind speed;
due to the self characteristics of renewable energy sources, photovoltaic power generation and photo-thermal power generation are mainly influenced by illumination intensity and temperature, wind power generation is influenced by wind speed, the change of the data is collected, and the change curve of each factor and the power generation power is respectively established.
In another preferred embodiment of the present invention, the process of matching and obtaining the generated power prediction curve by the power prediction module is as follows:
fitting the first change curve to obtain a first fitted curve; extracting m sections of sub-curves in the historical change curve, wherein the sub-curves are different in date and same in time period with the first change curve, m is a positive integer, fitting the sub-curves respectively to obtain fitting sub-curves, comparing the fitting sub-curves with the first fitting curve respectively in similarity, extracting the fitting sub-curve with the highest similarity with the first fitting curve, and marking the fitting sub-curve as a second fitting curve;
in order to remove interference and facilitate comparison, curve fitting is carried out on the first change curve, the historical change curve is divided into m sections of sub-curves which are different in date from the first change curve and are in the same time period, the illumination intensity, the temperature and the wind speed in the same time period are relatively close, the possibility that environmental data are similar is high, then the sub-curves are respectively fitted, the fitted sub-curves are respectively compared with the first fitted curve in the similarity degree, then 1 hour which is closest to the environmental data in the future 1 hour is obtained in the historical change curve, the change of the generated power in the current 1 hour is set as the change of the generated power of the renewable energy power generation device in the future 1 hour, and therefore a generated power prediction curve is obtained.
In a preferred case of this embodiment, the specific process of fitting the first variation curve and the sub-curve by the power prediction module is as follows:
fitting by using a least square parabola, and respectively obtaining N points in the first change curve and the sub-curve at fixed intervals, wherein N is a positive integer, and the parabola fitting function formula is as follows:
Y=At2+Bt+C，
y is environment data, t is time, and the solving formula of A, B and C is as follows:
Figure 599218DEST_PATH_IMAGE003
the magnitude of the change in environmental data, such as temperature, light intensity and wind speed, over time is relatively small, so a least squares parabola is used to fit the first curve and sub-curves.
In another preferred case of this embodiment, the cloud platform classifies the generated power and the environmental data according to a collection date, and when extracting sub-curves of different dates and the same time periods as the first variation curve, the power prediction module preferentially extracts sub-curves of different years and the same day as the first variation curve, and sub-curves of the same month as the first variation curve are sub-extracted sub-curves;
the cloud platform is also used for taking charge of the statistics work of the year, month and day of the environmental data.
In another preferred embodiment of the present invention, the cloud platform acquires weather forecast data in real time, updates a time variation curve of the environmental data with the future time, and converts the time period t to a time period t1Setting the interval to be the same as the release interval of the weather forecast;
and setting the power prediction time scale as 1 hour according to the interval time of the weather station issuing the weather forecast, so that when the weather forecast is updated next time, the power prediction period is just finished, and each weather forecast corresponds to a new generating power change curve.
In another preferred embodiment of the present invention, the power prediction module is further configured to obtain a power generation prediction curve of the microgrid in a next hour, and the power scheduling module sets a rated output power of the microgrid in the next hour and sends data of the rated output power of the microgrid in the next hour to the main power grid scheduling center;
the power generation power of the renewable energy source changes along with the change of time in one day, so different rated output powers are set according to the change of environmental data at different times so as to exert the maximum efficiency of the renewable energy source, and the numerical value of the rated output power is sent to the main power grid every hour to inform the main power grid to change the power generation power and balance the whole power grid.
While one embodiment of the present invention has been described in detail, the description is only a preferred embodiment of the present invention and should not be taken as limiting the scope of the invention. All equivalent changes and modifications made within the scope of the present invention shall fall within the scope of the present invention.

Claims (8)

1. A microgrid multi-energy integrated dispatching system is used for controlling a microgrid connected with a main power grid, and is characterized by comprising:
the data acquisition module is used for acquiring the power generation power and the environmental data of the renewable energy power generation device, and the multi-energy power generation device comprises a renewable energy power generation device and a fossil energy power generation device;
the cloud platform is used for storing the generated power and the environmental data of the renewable energy power generation device and respectively generating a generated power historical change curve and an environmental data historical change curve; acquiring weather forecast and generating a change curve of environmental data along with future time;
a power prediction module for extracting the future time period t1The method comprises the steps that a change curve of internal environment data along with future time is marked as a first change curve, a curve segment with the highest similarity to the first change curve in the historical change curve of the environment data is extracted, the curve segment is marked as a second change curve, and a generation power historical change curve in the same period as the second change curve is extracted and marked as a generation power prediction curve;
a power scheduling module for obtaining a future time period t according to the generated power prediction curve1Average generated power in the grid, setting the average generated power as the micro grid in the future time period t1When the actual power generation power is lower than the rated output power, the energy storage device releases the electric quantity to maintain the rated output power.
2. The microgrid multi-energy source integration dispatching system of claim 1, further comprising a power optimization module, wherein the processing procedure of the power optimization module is as follows:
when the actual power generation power of the renewable energy power generation device is higher than the rated output power and the energy storage device reaches the upper limit of electric quantity storage, the connection between the renewable energy power generation device and the microgrid is cut off, and the fossil energy power generation device is started to generate electricity together with the fossil energy device and the energy storage device to maintain the output power;
and when the actual power generation power of the renewable energy power generation device is lower than the rated output power and the energy storage device does not output extra electric quantity, starting the fossil energy power generation device, and jointly generating power through the fossil energy device and the renewable energy power generation device to maintain the output power.
3. The microgrid multi-energy integrated dispatching system of claim 1, wherein the renewable energy power generation device collected by the data collection module comprises a photovoltaic power generation device, a photo-thermal power generation device and a wind power generation device, the fossil energy power generation device is a diesel power generation device, the environmental data collected by the data collection module comprises wind speed, illumination intensity and temperature, the power generation power of the photovoltaic power generation device and the photo-thermal power generation device is positively correlated with the illumination intensity and the temperature, and the power generation power of the wind power generation device is positively correlated with the wind speed.
4. The microgrid multi-energy source integration dispatching system as claimed in claim 1, wherein the process of acquiring the generated power prediction curve by the power prediction module is as follows:
fitting the first change curve to obtain a first fitted curve; and extracting m sections of sub-curves in the historical change curve of the environmental data, wherein the sub-curves are different in date and same in time period with the first change curve, m is a positive integer, respectively fitting the sub-curves to obtain fitting sub-curves, respectively comparing the fitting sub-curves with the first fitting curve in similarity, extracting the fitting sub-curve with the highest similarity with the first fitting curve, and marking the fitting sub-curve as a second fitting curve.
5. The microgrid multi-energy integration dispatching system as claimed in claim 4, wherein the power prediction module performs a fitting process on the first variation curve and the sub-curve by:
fitting by using a least square parabola, and respectively obtaining N points in the first change curve and the sub-curve at fixed intervals, wherein N is a positive integer, and the parabola fitting function formula is as follows:
Y=At2+Bt+C，
y is environment data, t is time, and the solving formula of A, B and C is as follows:
Figure DEST_PATH_IMAGE002
，
Figure DEST_PATH_IMAGE004
，
Figure DEST_PATH_IMAGE006
。
6. the microgrid multi-energy integration scheduling system of claim 4, wherein the cloud platform classifies the generated power and the environmental data according to the date of collection, and the power prediction module preferentially extracts a sub-curve of a same year and a same day as the first variation curve and less preferentially extracts a sub-curve of a same month as the first variation curve when extracting a sub-curve of a different date and a same time period as the first variation curve.
7. The microgrid multi-energy integrated scheduling system of claim 1, wherein the cloud platform acquires weather forecast data in real time, updates a curve of the environmental data changing with future time, and divides the time period t into a plurality of time periods1Set to be the same as the distribution interval of the weather forecast.
8. The microgrid multi-energy integrated dispatching system of claim 1, wherein the power prediction module is further configured to obtain a next time period t of the microgrid1The power scheduling module sets the next time period t1And will follow the next time period t1And sending the rated output power data to a main power grid dispatching center.
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