CN115528711A - Grid-connected control method for micro-grid energy storage converter - Google Patents
Grid-connected control method for micro-grid energy storage converter Download PDFInfo
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- CN115528711A CN115528711A CN202211322205.2A CN202211322205A CN115528711A CN 115528711 A CN115528711 A CN 115528711A CN 202211322205 A CN202211322205 A CN 202211322205A CN 115528711 A CN115528711 A CN 115528711A
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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
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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
- 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]
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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
- 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
- H02J13/00002—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 monitoring
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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
- 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
- H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
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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
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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
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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
- H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
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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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- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
The invention provides a grid-connected control method of a microgrid energy storage converter, which comprises the following steps: acquiring charge and discharge data of power supply equipment through an energy storage converter; judging real-time electric energy data of different power supply equipment through the charging and discharging data; and controlling the power supply equipment with sufficient electric energy and the micro-grid to be connected to the grid through the micro-grid according to the real-time electric energy data, and disconnecting the power supply equipment with insufficient electric energy. The invention can determine that the power supply equipment is in the grid-connected state by marking the grid-connected load users on the monitoring map, and adjust the output voltage or the output current of the power supply equipment according to the power requirements of the load users.
Description
Technical Field
The invention relates to the technical field of grid connection, in particular to a grid connection control method of a micro-grid energy storage converter.
Background
At present, with the rapid development of a micro-grid connection technology and the explosive increase of an energy storage scale in recent years, the problem that a single transformer substation, a transformer and a plurality of grid connection users are needed is caused. And under the circumstances that power grid equipment, transformer, circuit etc. bring energy storage transverter more, installation is great promptly, if power grid equipment is electrified again after falling the power failure, then the circumstances that a large amount of energy storage transverters are incorporated into the power networks the electricity generation simultaneously can appear, specific: when the power grid equipment is powered off, a grid-connected user loses power, and when the line recovers power transmission, the photovoltaic inverter detects that the line recovers power transmission, and then grid-connected operation is automatically recovered. Meanwhile, the simultaneous grid connection of a large number of power supply devices can bring about voltage and frequency fluctuation, affect the electricity utilization quality of surrounding users, and even affect the safe and stable operation of a regional power grid.
Disclosure of Invention
The invention provides a grid-connected control method of a micro-grid energy storage converter, which is used for solving the problem that voltage and frequency fluctuation is caused when a large number of power supply equipment are simultaneously connected with a grid, so that the power consumption quality of surrounding users is influenced, and even the safe and stable operation of a regional power grid is influenced.
As an embodiment of the present invention, the present invention includes a grid-connected control method for a microgrid energy storage converter, including:
acquiring charge and discharge data of the power supply equipment through the energy storage converter;
judging real-time electric energy data of different power supply equipment through the charging and discharging data;
controlling the power supply equipment with sufficient electric energy and the micro-grid to be connected to the grid through the micro-grid according to the real-time electric energy data, and disconnecting the power supply equipment with insufficient electric energy; wherein the content of the first and second substances,
the grid-connected control comprises the following steps: alternating current-direct current conversion, voltage regulation, current regulation and switch control.
As a possible embodiment of the present invention: the method further comprises the following steps:
establishing a virtual scene based on an energy storage converter as a collection node;
constructing a monitoring map of the power supply equipment through a virtual scene;
energy storage numbering is carried out on each power supply device through a monitoring map;
and analyzing the real-time feedback data of the energy storage converter connected with each power supply device through the energy storage serial number, and determining the charging and discharging data of different power supply devices.
As a possible embodiment of the present invention: the method further comprises the following steps:
carrying out grid-connected user marking on a monitoring map;
determining real-time grid-connected power supply equipment data and non-grid-connected power supply equipment data through the grid-connected user marks;
monitoring electric quantity balance data of the grid-connected power supply equipment according to the real-time grid-connected power supply equipment data;
monitoring the electric quantity reserve data of the non-grid-connected power supply equipment according to the data of the non-grid-connected power supply equipment;
and establishing a grid-connected map according to the real-time grid-connected power supply equipment data, the non-grid-connected power supply equipment data and the user data of the micro-grid.
As a possible embodiment of the present invention: the method further comprises the following steps:
constructing energy storage objects in a virtual scene based on a three-dimensional coordinate system, wherein each energy storage object is provided with a plurality of characteristic points; wherein, the first and the second end of the pipe are connected with each other,
the characteristic points at least comprise energy storage capacity characteristic points, power supply equipment type characteristic points and energy storage output power reference characteristic points;
carrying out grid-connected recording on the energy storage object in the time sequence; wherein the content of the first and second substances,
when at least one characteristic point of the grid-connected object is overlapped on the time sequence, marking the energy storage object as a target object;
the energy storage objects are divided into a plurality of groups, the display objects in each group are arranged in a line mode of MxN, and M and N are natural numbers larger than zero.
As a possible embodiment of the present invention: the method further comprises the following steps:
predicting a power load curve of the microgrid based on a random forest regression algorithm to obtain a daily load peak-valley characteristic curve;
calculating the difference value between the daily load peak-valley characteristic curve and the real-time charging capacity of the power supply equipment to obtain a net load characteristic curve;
optimizing the high-dimensional data based on an improved least square method, and calculating to obtain a power supply equipment energy storage curve according to the optimized high-dimensional data; wherein, the first and the second end of the pipe are connected with each other,
the high-dimensional data are power supply equipment energy storage data based on time and space;
and adjusting the time proportion of different power supply equipment and microgrid grid connection according to the energy storage curve of the power supply equipment.
As one possible embodiment of the present invention: the method further comprises the following steps:
acquiring target scheduling power of the microgrid;
acquiring an output power predicted value of at least one power supply device;
comparing the at least one power supply equipment output power predicted value with a target scheduling power to determine a first scheduling power of each power supply equipment;
and adjusting the first scheduling power based on the power limit of each power supply device, and determining the target scheduling sub-power of each power supply device.
As one possible embodiment of the present invention: the method further comprises the following steps:
acquiring power supply equipment information of power supply equipment connected with a micro-grid in a grid-connected manner;
creating a virtual energy storage node according to the power supply equipment information, and constructing an energy map according to the virtual energy storage node;
acquiring an energy distribution strategy matched in an energy map according to the energy demand of the microgrid; the ring is a ring-shaped ring which is provided with a ring body,
the energy distribution strategy is a combination of one or more virtual energy nodes;
and establishing power supply connection between the power supply equipment and the microgrid according to the energy distribution strategy to finish energy sharing.
As a possible embodiment of the present invention: the method further comprises the following steps:
carrying out first matching on the energy demand and a first virtual energy storage node in the energy map, wherein the first virtual energy storage node is a virtual energy storage node with the largest energy storage in the energy map;
if the stored energy of the first virtual energy storage node is smaller than the energy utilization requirement, second matching is carried out, a second virtual energy storage node closest to the first virtual energy storage node is called to be combined with the first virtual energy storage node to match the energy utilization requirement, or a third virtual energy storage node, the stored energy of which is next to the first virtual energy storage node, is called to be combined with the first virtual energy storage node to match the energy utilization requirement;
and when the second matching still cannot meet the energy utilization requirement, continuously searching the virtual energy storage nodes according to the condition of the closest distance or the maximum energy storage until the energy utilization requirement is met, and obtaining an energy distribution strategy.
As one possible embodiment of the present invention: the method further comprises the following steps:
acquiring basic operation data of power supply equipment;
the basic operation data comprises power supply equipment operation data and fault data;
training a data set to generate a voltage isolated tree, a temperature isolated tree and an insulation resistance isolated tree of the power supply equipment to form an isolated forest;
obtaining an outlier fraction corresponding to the criticality of the voltage, temperature and impedance of the power supply equipment;
and monitoring the running state of the power supply equipment in real time through the micro-grid according to the abnormal value fraction.
As one possible embodiment of the present invention: the method further comprises the following steps:
sending a disconnection request to target power supply equipment through a micro-grid;
acquiring a target data table corresponding to target power supply equipment, and judging whether the target power supply equipment fails or not based on equipment running time and equipment running state recorded by the target data table;
and if the target power supply equipment is judged to be in the fault state, sending out grid disconnection feedback with the micro-grid based on the disconnection request.
According to the invention, the grid-connected load users can be marked on the monitoring map, the power supply equipment is determined to be in the grid-connected state, and the power supply equipment is in the idle state, so that whether the power supply equipment is in the balanced state or not can be judged, and the power supply equipment can be judged to be in the grid-connected state through the grid-connected map.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a flowchart of a method for grid-connected control of a microgrid energy storage converter according to an embodiment of the present invention;
FIG. 2 is a flow chart of charge and discharge data collection according to an embodiment of the present disclosure;
fig. 3 is a flow chart of the grid-connected map construction in the embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it should be understood that they are presented herein only to illustrate and explain the present invention and not to limit the present invention.
As an embodiment of the present invention, the present invention includes a grid-connected control method for a microgrid energy storage converter, including:
acquiring charge and discharge data of the power supply equipment through the energy storage converter;
the energy storage converter can control the charging and discharging processes of the storage battery, performs alternating current-direct current conversion, and can directly supply power for alternating current loads under the condition of no power grid. Therefore, the charging and discharging data are collected when the power supply equipment, namely the controllable storage battery or other controllable super capacitors are charged and discharged by the power supply equipment.
Judging real-time electric energy data of different power supply equipment through the charging and discharging data;
the real-time electric energy data comprises real-time charging and discharging states, real-time residual electric quantity of the power supply equipment, operation input and output power of the power supply equipment and the like;
controlling the power supply equipment with sufficient electric energy and the micro-grid to be connected in a grid mode through the micro-grid according to the real-time electric energy data, and disconnecting the power supply equipment with insufficient electric energy; wherein the content of the first and second substances,
the grid-connected control comprises the following steps: alternating current-direct current conversion, voltage regulation, current regulation and switch control.
The micro-grid is used for controlling the power grid only and carrying out dispatching control on the power supply equipment.
The principle of the technical scheme is as follows: as shown in the attached figure 1, the energy storage converter is connected with power supply equipment, and is used for collecting charging and discharging data of the power supply equipment, and the power supply equipment is not limited to chemical battery charging equipment, capacitor charging equipment and superconducting charging equipment. The real-time electric energy data comprises the real-time storage electric quantity of the power supply equipment, the output time of the residual electric quantity and whether the power supply equipment is in a balanced state, and the real-time electric energy data can be used for carrying out grid-connected regulation on different power supply equipment, controlling the connection and disconnection of the power supply equipment and the micro-grid and ensuring the real-time power supply requirement of the micro-grid.
The prior art direction is as follows:
the charging and discharging processes of the power supply equipment are controlled through the energy storage converter, alternating current and direct current conversion is carried out, and the alternating current load can be directly supplied with power under the condition of no power grid.
The invention has the beneficial effects that:
the energy storage converter control direction comprises: the intelligent power supply system comprises alternating current and direct current conversion, voltage regulation, current regulation and automatic connection of idle power supply equipment according to the requirements of load equipment in grid connection, and intelligent power supply regulation is realized. Besides self power grid regulation, new power supply equipment can be added into a grid-connected network, and intelligent scheduling of electric power is realized.
As a possible embodiment of the present invention: the method further comprises the following steps:
establishing a virtual scene based on an energy storage converter as a collection node;
constructing a monitoring map of the power supply equipment through a virtual scene;
energy storage numbering is carried out on each power supply device through a monitoring map;
and analyzing the real-time feedback data of the energy storage converters connected with each power supply device through the energy storage serial numbers, and determining the charging and discharging data of different power supply devices.
The principle of the technical scheme is that as shown in fig. 2, a virtual scene is established based on the energy storage converter, and the virtual scene is mainly used for dynamically monitoring each power supply device, determining real-time charging and discharging data of each power supply device, and determining charging power and discharging power.
The invention can form a virtual scene between the acquisition points of the energy storage converters, the virtual scene can realize the comprehensive monitoring of the power supply equipment in a mode of simulating a working map, the real-time positions and real-time numbers of different energy storage converters can be displayed on the monitoring map, and the rapid control and positioning can be conveniently carried out through the energy storage numbers when the electric energy fault and the electric energy allocation occur. And then real-time data of the energy storage converter are fed back in real time, and real-time analysis can be further achieved.
The beneficial effects of the above technical scheme are that:
according to the invention, a power supply equipment monitoring map based on the energy storage converter can be constructed, so that when the energy storage converter monitors different power supply equipment, different power supply equipment can be positioned and accurately monitored based on the energy storage serial number, the charging and discharging data of different power supply equipment can be determined, the electric power data of each power supply equipment can be fed back in real time, and the charging and discharging data can be analyzed in real time.
As one possible embodiment of the present invention: the method further comprises the following steps:
carrying out grid-connected user marking on a monitoring map;
determining real-time grid-connected power supply equipment data and non-grid-connected power supply equipment data through the grid-connected user marks;
monitoring electric quantity balance data of the grid-connected power supply equipment according to the real-time grid-connected power supply equipment data;
monitoring the electric quantity reserve data of the non-grid-connected power supply equipment according to the data of the non-grid-connected power supply equipment;
and establishing a grid-connected map according to the real-time grid-connected power supply equipment data, the non-grid-connected power supply equipment data and the user data of the micro-grid.
The principle of the technical scheme is that as shown in fig. 3, the grid-connected load users can be marked on the monitoring map to determine that the power supply equipment is in the grid-connected state and the power supply equipment is in the idle state, so that whether the power supply equipment is in the balanced state or not can be judged, and the power supply equipment can be judged to be connected to the grid through the grid-connected map.
In the power grid, a plurality of energy storage power supply devices are not all grid-connected devices of a microgrid, and a plurality of energy storage devices are possibly split and used for supplying power to other load devices, so after a monitoring map is established, grid-connected and non-grid-connected power supply devices are distinguished on the monitoring map through grid-connected user marks, the electric quantity balance data is whether different energy storage devices are in a balance state, the balance state indicates that the power supply devices can meet the power supply requirement, and for the non-grid-connected electric quantity storage data, the non-grid-connected power supply devices can be determined whether the non-grid-connected power supply devices can meet the power supply requirement of the grid-connected power supply devices, so that the non-grid-connected devices and the grid-connected devices are uniformly controlled, the grid-connected map is established, and when the grid-connected devices are insufficient in electric quantity, the non-grid-connected devices are called to be connected in real time to provide electric energy.
The beneficial effects of the above technical scheme are that:
the invention can monitor the grid-connected power supply equipment in real time through the monitoring map, can judge the power supply equipment which is not grid-connected equipment through the grid-connected map for the non-grid-connected equipment, can also judge the real-time state of the power supply equipment to judge whether the power supply equipment is in a balanced state or not, and can also carry out real-time scheduling on the non-grid-connected equipment.
As one possible embodiment of the present invention: the method further comprises the following steps:
constructing energy storage objects based on a three-dimensional coordinate system in a virtual scene, wherein each energy storage object is provided with a plurality of characteristic points; wherein the content of the first and second substances,
the characteristic points at least comprise energy storage capacity characteristic points, power supply equipment type characteristic points and energy storage output power reference characteristic points;
carrying out grid-connected recording on the energy storage object in the time sequence; wherein, the first and the second end of the pipe are connected with each other,
when at least one characteristic point of the grid-connected object is overlapped on the time sequence, marking the energy storage object as a target object;
the energy storage objects are divided into a plurality of groups, the display objects in each group are arranged in a line mode of MxN, and M and N are natural numbers larger than zero.
The principle of the technical scheme is that the grid-connected recording of the power supply equipment is carried out on different power supply equipment based on the characteristic points, and when a user of the micro-grid needs to be connected with the grid, single-to-single positioning grid connection is carried out according to the type of the required grid-connected power supply equipment.
The method comprises the steps that an energy storage object is built in a virtual scene, a plurality of characteristic points can be determined, the characteristic points are used for achieving virtual visualization and attribution of the energy storage object, grid-connected records of time sequences are generated only by establishing energy storage data of the energy storage object on the basis of the time sequences on a time axis, the grid-connected records are generated, the grid-connected records are records of power supply when the energy storage object supplies power, and when at least one characteristic point of the grid-connected object is superposed on the time sequences, the energy storage object is marked as a target object; that is, when there is a matching of the feature points, it means that the power is supplied, and the energy storage objects are meaningfully divided, and the arrangement is to divide the data into rows and columns.
The beneficial effects of the above technical scheme are that:
the invention can carry out real-time power supply recording on equipment for carrying out real-time power supply, can carry out row-column arrangement on grid-connected records, further records the grid-connected energy storage equipment when in grid connection, generates row-column grid-connected data and is convenient for carrying out data charting and data display.
As a possible embodiment of the present invention: the method further comprises the following steps:
predicting a power load curve of the microgrid based on a random forest regression algorithm to obtain a daily load peak-valley characteristic curve;
calculating the difference value between the load peak-valley characteristic curve and the real-time charging capacity of the power supply equipment to obtain a net load characteristic curve;
optimizing the high-dimensional data based on an improved least square method, and calculating to obtain a power supply equipment energy storage curve according to the optimized high-dimensional data; wherein the content of the first and second substances,
the high-dimensional data are power supply equipment energy storage data based on time and space;
and adjusting the time proportion of the grid connection of different power supply equipment and the micro-grid according to the energy storage curve of the power supply equipment.
The principle of the technical scheme is that the power state of the microgrid is predicted based on a random forest regression algorithm, the grid-connected power supply time of each power supply device is determined, and then power supply time proportion adjustment is performed based on the real-time electric quantity of each power supply device and the power demand of the microgrid, so that the situation of insufficient electric quantity and large electric quantity fluctuation of the microgrid is prevented.
The method comprises the steps that a random forest regression algorithm can determine a power load curve of power supply equipment which is connected to a grid in real time when a micro-grid determines power supply data of an energy storage object, predicts the power supply data of the power supply equipment, determines a net load characteristic curve, wherein the net load characteristic curve represents a curve formed by overload operation time points when the power supply equipment supplies power, and calculates a difference value between a load peak-valley characteristic curve and real-time charging electric quantity of the power supply equipment to obtain the net load characteristic curve; the net load characteristic curve is the overload value curve, and the data optimization through the least square method can judge how long the power supply equipment is used without overload state when supplying power, so that the time for carrying out grid-connected power supply on different power supply equipment is adjusted, and the power supply equipment cannot run in overload when supplying power.
The beneficial effects of the above technical scheme are that:
according to the method, when the power supply equipment supplies power to the outside, the overload power supply state and the overload running state of each power supply equipment after the power supply equipment supplies power can be calculated, so that the power supply equipment is scheduled, the power supply time of each power supply equipment is scheduled, the time proportion of different power supply equipment and microgrid grid connection is adjusted, grid connection scheduling regulation and control are realized, and the grid connection scheduling time of each power supply equipment is regulated and controlled.
As one possible embodiment of the present invention: the method further comprises the following steps:
acquiring target scheduling power of the microgrid;
acquiring an output power predicted value of at least one power supply device;
comparing the at least one power supply equipment output power predicted value with a target scheduling power to determine a first scheduling power of each power supply equipment;
and adjusting the first scheduling power based on the power limit of each power supply device, and determining the target scheduling sub-power of each power supply device.
The principle of the technical scheme is that parallel power adjustment can be performed on power supply equipment which does not pass through the power supply equipment according to the scheduling power by setting the scheduling power, so that simultaneous grid connection of multiple power supply equipment is realized, and power supply is realized by a single line.
The invention can determine the real-time power supply power required to supply power through the micro-grid, and then obtain the output power predicted value of the power supply equipment capable of supplying power, wherein the predicted value is used for judging whether the output power of the power supply equipment meets the target scheduling power, the first scheduling power is used for the expected scheduling power of each power supply equipment, and through the expected scheduling power, the micro-grid can carry out grid connection and joint output on different power supply equipment to achieve the effect of increasing the output power, so that the power of different power supply equipment can be adjusted through power limitation and adjustment of the first scheduling power.
The beneficial effects of the above technical scheme are that:
the invention can judge that less power supply equipment is required to output power supply at the same time according to the target scheduling power during power supply, and can meet the power supply requirement, thereby realizing the power regulation control of the power supply equipment and meeting the power supply requirement.
As a possible embodiment of the present invention: the method further comprises the following steps:
acquiring power supply equipment information of power supply equipment connected with a micro-grid in a grid-connected mode;
creating a virtual energy storage node according to the power supply equipment information, and constructing an energy map according to the virtual energy storage node;
acquiring an energy distribution strategy matched in an energy map according to the energy demand of the microgrid; the ring is a ring which is provided with a plurality of circular holes,
the energy distribution strategy is a combination of one or more virtual energy nodes;
and establishing power supply connection between the power supply equipment and the microgrid according to the energy distribution strategy to finish energy sharing.
The principle of the technical scheme is as follows:
according to the invention, an energy spectrum can be constructed, the energy spectrum can analyze the output data of each power supply device, and whether the grid-connected even electric quantity is sufficient or not is judged, so that the power supply device combination and energy sharing are carried out.
The energy map represents the total electric quantity of the power supply equipment, the energy which can be supplied to different power supply equipment can be analyzed through the energy map, the energy which can be output by each energy storage equipment is determined, when the electric energy is output through the micro-grid, each energy storage equipment is appointed according to the energy map of each energy storage equipment, namely, the charged energy which needs to be output by the power supply equipment generates an energy distribution strategy, and the power supply equipment is connected with the micro-grid to realize energy sharing and further supply power.
The beneficial effects of the above technical scheme are that:
according to the invention, when the total power supply quantity needing to be supplied with power outwards is determined, the electric quantity needing to be supplied with power outwards by each energy storage device is determined according to the energy map, so that efficient distribution and quantitative distribution of energy are realized, and energy loss is prevented.
As a possible embodiment of the present invention: the method further comprises the following steps:
carrying out first matching on the energy demand and a first virtual energy storage node in the energy map, wherein the first virtual energy storage node is a virtual energy storage node with the largest energy storage in the energy map;
if the stored energy of the first virtual energy storage node is smaller than the energy demand, second matching is carried out, a second virtual energy storage node which is closest to the first virtual energy storage node is called to be combined with the first virtual energy storage node to match the energy demand, or a third virtual energy storage node which is only next to the first virtual energy storage node in the stored energy is called to be combined with the first virtual energy storage node to match the energy demand;
and when the second matching still cannot meet the energy utilization requirement, continuously searching the virtual energy storage nodes according to the condition of the closest distance or the maximum energy storage until the energy utilization requirement is met, and obtaining an energy distribution strategy.
The principle of the technical scheme is that the matching of the stored energy and the electric quantity can be carried out according to the electricity utilization requirement of the microgrid, so that a power supply strategy and an energy distribution strategy are ensured, and the output state and the output requirement of each power supply device are met.
When the micro-grid is used for supplying power, according to the functional requirements, if only one power supply device can meet the power supply requirement, the power can be supplied through the power supply device. If one power supply device is short of energy, a combination of a plurality of power supply devices may be used. However, in the prior art, generally, the combination state of the power supply equipment is artificially determined, and an optimal power supply combination cannot be found, but the optimal scheduling matching of the power supply equipment can be realized through screening and matching of the virtual energy storage nodes.
The beneficial effects of the above technical scheme are that:
the method and the device can realize the optimal matching of the power supply equipment, realize the optimal and most accurate power supply combination analysis in the form of the energy spectrum, determine the optimal power supply analysis strategy of the power supply equipment and realize the scheduling control of the power supply equipment.
As a possible embodiment of the present invention: the method further comprises the following steps:
collecting basic operation data of the power supply equipment;
the basic operation data comprises power supply equipment operation data and fault data;
training a data set to generate a voltage isolated tree, a temperature isolated tree and an insulation impedance isolated tree of the power supply equipment to form an isolated forest;
obtaining an outlier fraction corresponding to the criticality of the voltage, temperature and impedance of the power supply equipment;
and monitoring the running state of the power supply equipment in real time through the microgrid according to the abnormal value fraction.
The principle of the technical scheme is that faults of the power supply equipment can be monitored, different power parameters are trained independently through the isolated forest model in the monitoring mode to generate the isolated forest model, and the operation state of each power supply equipment is judged through the isolated forest model.
The invention not only realizes the power supply dispatching, but also needs to carry out the fault supervision of the power supply state, for the supervision of the power supply equipment, the invention adopts the mode of an isolated forest, the isolated forest is a classical anomaly detection algorithm and can process large-scale multidimensional data, and the invention realizes the anomaly data training based on the mode of the isolated forest, thereby realizing the real-time supervision of the power supply equipment.
The beneficial effects of the above technical scheme are that:
the invention can realize the real-time supervision of the power data of the power supply equipment, and analyze whether the power supply equipment has faults or not during power supply, and determine the data of voltage, temperature, insulation impedance and the like in short supply, thereby realizing the abnormal supervision of the power supply equipment.
When the power supply abnormity is judged by the soliton, the method also comprises the following steps:
step 1: acquiring temperature data, voltage data and insulation resistance data of the power supply equipment, and generating a data set at each moment:
A＝{a 1 ，a 2 ，a 3 ……a t }
B＝{b 1 ，b 2 ，b 3 ……b t }
C＝{c 1 ，c 2 ，c 3 ……c t }
wherein, a t Represents the temperature value at time t; b t Represents the voltage value at time t; c. C t Represents the insulation resistance value at the time t; t represents a time; a represents a temperature data set of the power supply equipment; b represents a voltage data set of the power supply equipment; c represents an insulation resistance data set of the power supply device;
step 2: according to the data set, taking each moment as a time point, and constructing a time data model of the power supply equipment:
wherein β represents a temperature anomaly weight coefficient; gamma represents a voltage anomaly weight coefficient; δ represents an insulation resistance anomaly weight coefficient; t represents a power supply time of the power supply apparatus; n represents the total number of time points
And 3, step 3: judging whether power supply abnormity occurs or not based on a time data model:
wherein Q represents the temperature threshold value of the power supply equipment; v represents a voltage threshold value of the power supply equipment; r represents an insulation resistance threshold value of the power supply equipment;
a boundary model of the temporal data model;
when the formula is satisfied, it indicates that there is no power supply abnormality, and when the formula is not satisfied, it indicates that there is a power supply abnormality; the power supply abnormality includes that the power supply is in a threshold state when the power supply is in a normal state
The principle of the invention is as follows: the invention constructs a data set in step 1, and a time data model established in step 2 determines the state of the power supply equipment in a power supply time period. The invention sets a limit value, when all data are lower than the limit value, the power supply equipment is indicated to have no abnormity, when all data are higher than the limit value, the power supply equipment is indicated to have abnormity, namely in step 3,
indicating that the state of the power supply unit is greater than the limit state for a period of time.
The sum of (1); so at least one item of data exceeds the threshold when it > 0.
As a possible embodiment of the present invention: the method further comprises the following steps:
sending a disconnection request to target power supply equipment through a micro-grid;
acquiring a target data table corresponding to target power supply equipment, and judging whether the target power supply equipment fails or not based on equipment running time and equipment running state recorded by the target data table;
and if the target power supply equipment is judged to be in the fault state, sending out grid disconnection feedback with the micro-grid based on the disconnection request.
The principle of the technical scheme is that the connection mode of the power supply equipment and the microgrid can be monitored, when a disconnection request exists, the reason of the connection can be judged firstly, feedback is carried out according to the reason of the disconnection, and high-definition recording of connection data of the power supply equipment is achieved.
The beneficial effects of the above technical scheme are that:
the invention can judge whether the power supply equipment is in a fault state or not through the monitoring data of the micro-grid on the power supply equipment, and generates disconnection request data when the power supply equipment is in a fault state, thereby realizing emergency power-off.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (10)
1. A grid-connected control method of a micro-grid energy storage converter is characterized by comprising the following steps:
acquiring charge and discharge data of the power supply equipment through the energy storage converter;
judging real-time electric energy data of different power supply equipment through the charging and discharging data;
controlling the power supply equipment with sufficient electric energy and the micro-grid to carry out grid-connected control through the micro-grid according to the real-time electric energy data, and disconnecting the power supply equipment with insufficient electric energy; wherein the content of the first and second substances,
the grid-connected control comprises the following steps: alternating current-direct current conversion, voltage regulation, current regulation and switch control.
2. The grid-connected control method of the microgrid energy storage converter according to claim 1, characterized in that the method further comprises:
establishing a virtual scene based on an energy storage converter as a collection node;
constructing a monitoring map of the power supply equipment through a virtual scene;
energy storage numbering is carried out on each power supply device through a monitoring map;
and analyzing the real-time feedback data of the energy storage converters connected with each power supply device through the energy storage serial numbers, and determining the charging and discharging data of different power supply devices.
3. The grid-connected control method of the microgrid energy storage converter as claimed in claim 1, characterized in that the method further comprises:
carrying out grid-connected user marking on a monitoring map;
determining real-time grid-connected power supply equipment data and non-grid-connected power supply equipment data through grid-connected user marks;
monitoring electric quantity balance data of the grid-connected power supply equipment according to the real-time grid-connected power supply equipment data;
monitoring the electric quantity reserve data of the non-grid-connected power supply equipment according to the data of the non-grid-connected power supply equipment;
and establishing a grid-connected map according to the real-time grid-connected power supply equipment data, the non-grid-connected power supply equipment data and the user data of the micro-grid.
4. The grid-connected control method of the microgrid energy storage converter according to claim 3, characterized in that the method further comprises:
constructing energy storage objects in a virtual scene based on a three-dimensional coordinate system, wherein each energy storage object is provided with a plurality of characteristic points; wherein the content of the first and second substances,
the characteristic points at least comprise energy storage capacity characteristic points, power supply equipment type characteristic points and energy storage output power reference characteristic points;
carrying out grid-connected recording on the energy storage object in the time sequence; wherein, the first and the second end of the pipe are connected with each other,
when at least one characteristic point of the grid-connected object is superposed on the time sequence, marking the energy storage object as a target object;
the energy storage objects are divided into a plurality of groups, the display objects in each group are arranged in a line mode of MxN, and M and N are natural numbers larger than zero.
5. The grid-connected control method of the microgrid energy storage converter as claimed in claim 1, characterized in that the method further comprises:
predicting a power load curve of the microgrid based on a random forest regression algorithm to obtain a daily load peak-valley characteristic curve;
calculating the difference value between the daily load peak-valley characteristic curve and the real-time charging capacity of the power supply equipment to obtain a net load characteristic curve;
optimizing the high-dimensional data based on an improved least square method, and calculating to obtain an energy storage curve of the power supply equipment according to the optimized high-dimensional data; wherein the content of the first and second substances,
the high-dimensional data are power supply equipment energy storage data based on time and space;
according to the energy storage curve of the power supply equipment, after the power supply equipment and the micro-grid are connected to the power grid, the output voltage or the output current of the power supply equipment is adjusted.
6. The grid-connected control method of the microgrid energy storage converter according to claim 1, characterized in that the method further comprises:
acquiring target scheduling power of the microgrid;
acquiring a predicted output power value of at least one power supply device;
comparing the at least one power supply equipment output power predicted value with a target scheduling power to determine a first scheduling power of each power supply equipment;
and adjusting the first scheduling power based on the power limit of each power supply device, and determining the target scheduling sub-power of each power supply device.
7. The grid-connected control method of the microgrid energy storage converter according to claim 1, characterized in that the method further comprises:
acquiring power supply equipment information of power supply equipment connected with a micro-grid in a grid-connected mode;
creating a virtual energy storage node according to the power supply equipment information, and constructing an energy map according to the virtual energy storage node;
acquiring an energy distribution strategy matched in an energy map according to the energy demand of the microgrid; the ring is a ring-shaped ring which is provided with a ring body,
the energy distribution strategy is a combination of one or more virtual energy nodes;
and establishing power supply connection between the power supply equipment and the microgrid according to the energy distribution strategy to finish energy sharing.
8. The grid-connection control method of the microgrid energy storage converter as claimed in claim 7, characterized in that the method further comprises:
carrying out first matching on the energy consumption demand and a first virtual energy storage node in the energy map, wherein the first virtual energy storage node is a virtual energy node with the largest energy storage in the energy map;
if the stored energy of the first virtual energy storage node is smaller than the energy demand, second matching is carried out, a second virtual energy storage node which is closest to the first virtual energy storage node is called to be combined with the first virtual energy storage node to match the energy demand, or a third virtual energy storage node which is only next to the first virtual energy storage node in the stored energy is called to be combined with the first virtual energy storage node to match the energy demand;
and when the second matching still cannot meet the energy utilization requirement, continuously searching the virtual energy storage nodes according to the condition of the nearest distance or the maximum energy storage until the energy utilization requirement is met, and obtaining an energy distribution strategy.
9. The grid-connected control method of the microgrid energy storage converter according to claim 1, characterized in that the method further comprises:
acquiring basic operation data of power supply equipment;
the basic operation data comprises power supply equipment operation data and fault data;
training a data set to generate a voltage isolated tree, a temperature isolated tree and an insulation impedance isolated tree of the power supply equipment to form an isolated forest;
obtaining an outlier fraction corresponding to the criticality of the voltage, temperature and impedance of the power supply equipment;
and monitoring the running state of the power supply equipment in real time through the micro-grid according to the abnormal value fraction.
10. The grid-connected control method of the microgrid energy storage converter as claimed in claim 1, characterized in that the method further comprises:
sending a disconnection request to target power supply equipment through a micro-grid;
acquiring a target data table corresponding to target power supply equipment, and judging whether the target power supply equipment fails or not based on equipment running time and equipment running state recorded by the target data table;
and if the target power supply equipment is judged to be in the fault state, sending out grid disconnection feedback with the micro-grid based on the disconnection request.
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104319768A (en) * | 2014-11-03 | 2015-01-28 | 四川慧盈科技有限责任公司 | Micro-grid power supply and monitoring method |
| CN107104452A (en) * | 2017-05-16 | 2017-08-29 | 广东电网有限责任公司电力科学研究院 | A kind of high-power mobile energy storage car intelligent monitor system and method |
| CN109141442A (en) * | 2018-09-07 | 2019-01-04 | 高子庆 | Navigation method based on UWB positioning and image feature matching and mobile terminal |
| EP3522326A1 (en) * | 2016-09-27 | 2019-08-07 | Kyocera Corporation | Power management method, power management device, power conversion device, and power management system |
| CN110943483A (en) * | 2019-12-18 | 2020-03-31 | 国网智能科技股份有限公司 | Micro-grid system and control method |
| CN112072797A (en) * | 2020-09-17 | 2020-12-11 | 江苏工程职业技术学院 | Method for providing auxiliary service for micro-grid by grid-connected inverter |
| CN113673717A (en) * | 2021-08-18 | 2021-11-19 | 苏州罗约科技有限公司 | New energy converter management method, system, server and storage medium |
| CN114079271A (en) * | 2020-08-10 | 2022-02-22 | 周锡卫 | Safe BMS system of unusual quick protection of battery energy storage system |
-
2022
- 2022-10-27 CN CN202211322205.2A patent/CN115528711B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104319768A (en) * | 2014-11-03 | 2015-01-28 | 四川慧盈科技有限责任公司 | Micro-grid power supply and monitoring method |
| EP3522326A1 (en) * | 2016-09-27 | 2019-08-07 | Kyocera Corporation | Power management method, power management device, power conversion device, and power management system |
| CN107104452A (en) * | 2017-05-16 | 2017-08-29 | 广东电网有限责任公司电力科学研究院 | A kind of high-power mobile energy storage car intelligent monitor system and method |
| CN109141442A (en) * | 2018-09-07 | 2019-01-04 | 高子庆 | Navigation method based on UWB positioning and image feature matching and mobile terminal |
| CN110943483A (en) * | 2019-12-18 | 2020-03-31 | 国网智能科技股份有限公司 | Micro-grid system and control method |
| CN114079271A (en) * | 2020-08-10 | 2022-02-22 | 周锡卫 | Safe BMS system of unusual quick protection of battery energy storage system |
| CN112072797A (en) * | 2020-09-17 | 2020-12-11 | 江苏工程职业技术学院 | Method for providing auxiliary service for micro-grid by grid-connected inverter |
| CN113673717A (en) * | 2021-08-18 | 2021-11-19 | 苏州罗约科技有限公司 | New energy converter management method, system, server and storage medium |
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