CN110932328A - Micro-grid energy management system and method based on AMBTC algorithm - Google Patents

Micro-grid energy management system and method based on AMBTC algorithm Download PDF

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CN110932328A
CN110932328A CN201911310155.4A CN201911310155A CN110932328A CN 110932328 A CN110932328 A CN 110932328A CN 201911310155 A CN201911310155 A CN 201911310155A CN 110932328 A CN110932328 A CN 110932328A
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颜森林
仇飞
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Nanjing Xiaozhuang University
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Abstract

The invention belongs to the technical field of microgrid energy, and discloses a microgrid energy management system and method based on an AMBTC algorithm, wherein the microgrid energy management system based on the AMBTC algorithm comprises: the system comprises a voltage detector, a current detector, a camera, a monitoring host, a wireless base station, a cloud server, a power grid diagram processing module, a power grid fault diagnosis module and an energy consumption calculation module. The invention has higher capacity and lower image distortion by adopting an AMBTC algorithm through a power grid graph processing module; meanwhile, the power grid fault diagnosis module can accurately acquire the line section with the fault by combining the power grid full model according to the fault indication information, the distribution transformer power failure event and the measurement sudden drop information, so that the fault diagnosis efficiency is effectively improved.

Description

Micro-grid energy management system and method based on AMBTC algorithm
Technical Field
The invention belongs to the technical field of microgrid energy, and particularly relates to a microgrid energy management system and method based on an AMBTC algorithm.
Background
The Micro-Grid (Micro-Grid) is also translated into a Micro-Grid, which refers to a small power generation and distribution system composed of a distributed power supply, an energy storage device, an energy conversion device, a load, a monitoring and protecting device and the like. The micro-grid aims to realize flexible and efficient application of distributed power supplies and solve the problem of grid connection of the distributed power supplies with large quantity and various forms. The development and extension of the micro-grid can fully promote the large-scale access of distributed power sources and renewable energy sources, realize the high-reliability supply of various energy source types of loads, and is an effective mode for realizing an active power distribution network, so that the traditional power grid is transited to a smart power grid. However, the power grid map capacity and image quality acquired in the existing micro-grid energy management system are low; meanwhile, the accuracy of power grid fault diagnosis is low.
In summary, the problems of the prior art are as follows: the capacity and the image quality of a power grid diagram collected in the conventional micro-grid energy management system are low; meanwhile, the accuracy of power grid fault diagnosis is low.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a micro-grid energy management system based on an AMBTC algorithm.
The invention is realized in this way, a micro-grid energy management system based on AMBTC algorithm includes:
the system comprises a voltage detector, a current detector, a camera, a monitoring host, a wireless base station, a cloud server, a power grid diagram processing module, a power grid fault diagnosis module and an energy consumption calculation module;
the voltage detector is connected with the monitoring host and used for detecting voltage data of the micro-grid;
the current detector is connected with the monitoring host and used for detecting the current data of the microgrid;
the camera is connected with the monitoring host and used for acquiring power grid image data;
the monitoring host is connected with the voltage detector, the current detector, the camera, the wireless base station, the power grid diagram processing module, the power grid fault diagnosis module and the energy consumption calculation module and is used for controlling each device and each module to work normally;
the wireless base station is connected with the monitoring host and the cloud server and used for transmitting wireless signals to connect the monitoring host and the cloud server and storing the detection data into the cloud server;
the power grid graph processing module is connected with the monitoring host and used for processing the power grid graph through an AMBTC algorithm;
the power grid fault diagnosis module is connected with the monitoring host and used for diagnosing power grid faults through the diagnosis circuit;
and the energy consumption calculation module is connected with the monitoring host and used for calculating the energy consumption of the power grid through a calculation program.
Further, the processing method of the power grid diagram processing module is as follows:
first, in the AMBTC algorithm, I is an image with a pixel size of R × L; i will be divided into disjoint sub-blocks of size k x k;
Figure BDA0002324298200000021
Figure BDA0002324298200000022
Ii,jrepresents the ith pixel value of the jth sub-block; a. thejRepresents the average value of the jth sub-block, and k represents the size of the sub-block;
Figure BDA0002324298200000023
vjrepresents the standard deviation of the jth sub-block;
Figure BDA0002324298200000031
Figure BDA0002324298200000032
k＝2，3，4...；q＝2，3，4...，7；i＝0，1，...，k×k-1；j＝0，1，...，Max-1；
based on Ii，jAnd AjThe magnitude relationship of (1), allThe carrier pixels of (a) are divided into two categories: type 0 class and type 1 class, L during encoding and decodingjAnd HjRespectively corresponding to type 0 and type 1, LjAnd HjIs calculated as equation (3);
wherein: h'j＝Hj-mod(Hj，k)；
L′j＝Lj-mod(Lj，k)；
j＝0，1，2，…，Max-1；k＝2，3，4，…；
The composite information value Cv represents a combined value of the secret information SI and the bit information P;
Bi，j＝Bin2dec(Cvi，j)
Figure BDA0002324298200000033
Bi，j＝Bin2dec(Cvi，j)
Figure BDA0002324298200000034
secondly, inputting a carrier image C, initializing, i ← 0, j ← 0 and k;
a third step, if all sub-blocks of the carrier image C have been used, a fourth step; otherwise, selecting the next k multiplied by k sub-block;
the fourth step, solve and synthesize the information value Cv(ii) a Through CvType of (1) calculating RoRotation of RoMultiplying by 90 degrees to obtain C';
the fifth step, according to the P of the jth sub-blockjCalculating W0，jAnd W1，j(ii) a At PjIf the number of occurrences of 1 is greater than 1, then W is1，jIs set to 1; if the number of occurrences of 0 is greater than 1, then W0，jIs set to 1;
sixth step, W1，jIf the value is 1, the eighth step is reached; w1，jIf the value is equal to 0, performing the ninth step;
seventh step, W0,jIf the value is 1, the tenth step is performed; w0,jIs equal to 0 and is equal to 0,performing the eleventh step;
eighth step, fifth step according to formula CvIs embedded in, W1,jIs set to 0, to the twelfth step;
the ninth step, according to the formula
Bi，j＝Bin2dec(Cvi，j)
Figure BDA0002324298200000041
CvIs embedded in, W1,jIs set to 0, to the twelfth step;
Bi，j＝Bin2dec(Cvi，j)
the tenth step according to formula
Figure BDA0002324298200000042
CvIs embedded in, W0,jIs set to 0, to the twelfth step;
the tenth step, CvIs embedded in, W0,jIs set to 0, to the twelfth step;
a twelfth step, all secret information is embedded, going to the thirteenth step), and otherwise, going to the third step;
a tenth step of rotating R in reverseoX 90 degrees, output image.
And fourteenth, finishing.
Further, the power grid fault diagnosis module diagnosis method comprises the following steps:
1) constructing a model: constructing a power grid full model, wherein the power grid full model based on a multi-source data model is established by acquiring relevant models and account information of a converged main network, marketing, power consumption information acquisition, metering and GIS system, and is a topological model formed by buses and feeders of a power grid, the power grid full model is a topological model comprising feeders in the power grid and load equipment on the feeders, the power grid full model can acquire parameters of the feeders and the load equipment, the parameters comprise current values, voltage values, metering information and position information, and the power grid full model acquires the position information of the feeders and the load equipment through the GIS system;
2) acquiring fault information: acquiring fault information of a feeder line, and positioning the feeder line where the fault is located according to the fault information and the power grid full model;
3) acquiring fault indication information: acquiring fault indication information of a fault indicator, and positioning a first fault section where a fault is located according to the fault indication information and the power grid full model;
4) acquiring a power distribution power failure event: acquiring a distribution transformer power failure event of a distribution transformer, and positioning first tripping equipment where a fault is located according to the distribution transformer power failure event and the power grid full model;
5) acquiring measurement sudden drop information: and acquiring measurement sudden drop information of the outgoing line switch, and positioning a second fault interval and second tripping equipment where the fault is located according to the measurement sudden drop information and the power grid full model, wherein the measurement sudden drop information comprises a measurement sudden drop proportion.
Further, after the step of obtaining the measurement dip information, the method further includes: and outputting fault comprehensive information, wherein the fault comprehensive information comprises the first fault interval, the first tripping device, the second fault interval and the second tripping device.
Further, after the step of obtaining the measurement dip information, the method further includes:
generating a diagnosis report: and generating a diagnosis report according to the feeder line, the first fault interval, the first trip device, the second fault interval and the second trip device obtained by positioning.
The invention further aims to provide an information data processing terminal for implementing the AMBTC algorithm-based microgrid energy management method.
Another object of the present invention is to provide a computer-readable storage medium, which includes instructions that, when executed on a computer, cause the computer to execute the method for energy management of a microgrid based on an AMBTC algorithm.
The invention has the advantages and positive effects that: the invention has higher capacity and lower image distortion by adopting an AMBTC algorithm through a power grid graph processing module; meanwhile, the power grid fault diagnosis module can accurately acquire the line section with the fault by combining the power grid full model according to the fault indication information, the distribution transformer power failure event and the measurement sudden drop information, so that the fault diagnosis efficiency is effectively improved.
Drawings
Fig. 1 is a block diagram of a microgrid energy management system based on an AMBTC algorithm according to an embodiment of the present invention.
In the figure: 1. a voltage detector; 2. a current detector; 3. a camera; 4. monitoring the host; 5. a wireless base station; 6. a cloud server; 7. a power grid map processing module; 8. a power grid fault diagnosis module; 9. and an energy consumption calculation module.
Fig. 2 is a flowchart of a microgrid energy management method based on an AMBTC algorithm according to an embodiment of the present invention.
Detailed Description
In order to further understand the contents, features and effects of the present invention, the following embodiments are illustrated and described in detail with reference to the accompanying drawings.
The structure of the present invention will be described in detail below with reference to the accompanying drawings.
As shown in fig. 1, a microgrid energy management system based on an AMBTC algorithm provided by an embodiment of the present invention includes: the system comprises a voltage detector 1, a current detector 2, a camera 3, a monitoring host 4, a wireless base station 5, a cloud server 6, a power grid diagram processing module 7, a power grid fault diagnosis module 8 and an energy consumption calculation module 9.
The voltage detector 1 is connected with the monitoring host 4 and used for detecting voltage data of the micro-grid;
the current detector 2 is connected with the monitoring host 4 and used for detecting the current data of the microgrid;
the camera 3 is connected with the monitoring host 4 and is used for acquiring power grid image data;
the monitoring host 4 is connected with the voltage detector 1, the current detector 2, the camera 3, the wireless base station 5, the power grid diagram processing module 7, the power grid fault diagnosis module 8 and the energy consumption calculation module 9 and is used for controlling each device and each module to work normally;
the wireless base station 5 is connected with the monitoring host 4 and the cloud server 6, and is used for transmitting wireless signals to connect the monitoring host 4 and the cloud server 6 and storing the detection data into the cloud server 6;
the power grid diagram processing module 7 is connected with the monitoring host 4 and is used for processing the power grid diagram through an AMBTC algorithm;
the power grid fault diagnosis module 8 is connected with the monitoring host 4 and is used for diagnosing power grid faults through a diagnosis circuit;
and the energy consumption calculation module 9 is connected with the monitoring host 4 and is used for calculating the energy consumption of the power grid through a calculation program.
As shown in fig. 2, a microgrid energy management method based on an AMBTC algorithm provided by an embodiment of the present invention includes:
s101, detecting voltage data of the microgrid through a voltage detector; detecting the current data of the microgrid through a current detector; and acquiring power grid image data through a camera.
S102, controlling each device and each module to work normally by the monitoring host; the wireless base station transmits a wireless signal to connect the monitoring host and the cloud server and stores the detection data into the cloud server; and processing the power grid diagram by using an AMBTC algorithm through a power grid diagram processing module.
And S103, diagnosing the power grid fault by using the diagnosis circuit through the power grid fault diagnosis module.
And S104, calculating the power grid energy consumption by using the energy consumption calculation module and a calculation program.
In the embodiment of the present invention, the processing method of the power grid diagram processing module 7 provided by the present invention is as follows:
(1) in the AMBTC algorithm, I is an image with a pixel size of R × L; i will be divided into disjoint sub-blocks of size k x k;
Figure BDA0002324298200000071
Figure BDA0002324298200000072
Ii,jrepresents the ith pixel value of the jth sub-block; a. thejRepresents the average value of the jth sub-block, and k represents the size of the sub-block;
Figure BDA0002324298200000073
vjrepresents the standard deviation of the jth sub-block;
Figure BDA0002324298200000081
Figure BDA0002324298200000082
k＝2，3，4...；q＝2，3，4...，7；i＝0，1，...，k×k-1；j＝0，1，...，Max-1 (3)
based on Ii，jAnd AjAll carrier pixels are divided into two categories: type 0 class and type 1 class, L during encoding and decodingjAnd HjRespectively corresponding to type 0 and type 1, LjAnd HjIs calculated as equation (3);
wherein: h'j＝Hj-mod(Hj，k)
L’j＝Lj-mod(Lj，k)
j＝0，1，2，…，Max-1；k＝2，3，4，…(4)
The composite information value Cv represents a combined value of the secret information SI and the bit information P;
Bi，j＝Bin2dec(Cvi，j)
Figure BDA0002324298200000083
Bi，j＝Bin2dec(Cvi，j)
Figure BDA0002324298200000084
(2) input carrier image C, initialization, i ← 0, j ← 0, and k.
(3) If all sub-blocks of the carrier image C have been used, step (4); otherwise, the next k × k sub-block is selected.
(4) Solving the composite information value Cv(ii) a Through CvType of (1) calculating RoRotation of RoX90 degrees, giving C'.
(5) P according to jth sub-blockjCalculating W0，jAnd W1，j(ii) a At PjIf the number of occurrences of 1 is greater than 1, then W is1，jIs set to 1; if the number of occurrences of 0 is greater than 1, then W0，jIs set to 1.
(6) If W is1，jIf the value is 1, then going to step (8); if W is1，jEqual to 0, step (9).
(7) If W is0，jIf the value is 1, then the step (10) is carried out; if W is0，jEqual to 0, step (11).
(8) According to formula (5), CvIs embedded in, W1,jIs set to 0, to step (12).
(9) According to formula (6), CvIs embedded in, W1,jIs set to 0, to step (12).
(10) According to formula (5), CvIs embedded in, W0,jIs set to 0, to step (12).
(11) According to formula (6), CvIs embedded in, W0,jIs set to 0, to step (12).
(12) All secret information is embedded, step (13), otherwise, step (3).
(13) Reverse rotation RoX 90 degrees, output image.
(14) And (6) ending.
The invention is further described with reference to specific examples.
Example 1
The diagnosis method of the power grid fault diagnosis module 8 provided by the invention comprises the following steps:
1) constructing a model: the method comprises the steps of constructing a power grid full model, wherein the power grid full model based on a multi-source data model is established by obtaining relevant models and account information of a converged main network, marketing, power consumption information acquisition, metering and GIS system, the power grid full model is a topological model formed by buses and feeders of a power grid, the power grid full model is a topological model comprising feeders in the power grid and load equipment on the feeders, the power grid full model can obtain parameters of the feeders and the load equipment, the parameters comprise current values, voltage values, metering information and position information, and the power grid full model obtains the position information of the feeders and the load equipment through the GIS system.
2) Acquiring fault information: and acquiring fault information of the feeder line, and positioning the feeder line where the fault is located according to the fault information and the power grid full model.
3) Acquiring fault indication information: and acquiring fault indication information of a fault indicator, and positioning a first fault section where a fault is located according to the fault indication information and the power grid full model.
4) Acquiring a power distribution power failure event: and acquiring a distribution transformer power failure event of a distribution transformer, and positioning first tripping equipment where the fault is located according to the distribution transformer power failure event and the power grid full model.
5) Acquiring measurement sudden drop information: and acquiring measurement sudden drop information of the outgoing line switch, and positioning a second fault interval and second tripping equipment where the fault is located according to the measurement sudden drop information and the power grid full model, wherein the measurement sudden drop information comprises a measurement sudden drop proportion.
Example 2
After the step of obtaining the measurement dip information provided by the invention, the method further comprises the following steps: and outputting fault comprehensive information, wherein the fault comprehensive information comprises the first fault interval, the first tripping device, the second fault interval and the second tripping device.
Example 3
After the step of obtaining the measurement dip information provided by the invention, the method further comprises the following steps:
generating a diagnosis report: and generating a diagnosis report according to the feeder line, the first fault interval, the first trip device, the second fault interval and the second trip device obtained by positioning.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When used in whole or in part, can be implemented in a computer program product that includes one or more computer instructions. When loaded or executed on a computer, cause the flow or functions according to embodiments of the invention to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center via wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL), or wireless (e.g., infrared, wireless, microwave, etc.)). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that includes one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
The above description is only for the preferred embodiment of the present invention, and is not intended to limit the present invention in any way, and all simple modifications, equivalent changes and modifications made to the above embodiment according to the technical spirit of the present invention are within the scope of the technical solution of the present invention.

Claims (10)

1. A micro-grid energy management method based on an AMBTC algorithm is characterized by comprising the following steps: the monitoring host controls each device and each module to work normally; the wireless base station transmits a wireless signal to connect the monitoring host and the cloud server and stores the detection data into the cloud server; processing the power grid diagram through a power grid diagram processing module; the processing method of the power grid graph processing module comprises the following steps:
first, in the AMBTC algorithm, I is an image with a pixel size of R × L; i will be divided into disjoint sub-blocks of size k x k;
Figure FDA0002324298190000011
Figure FDA0002324298190000012
Ii，jrepresents the ith pixel value of the jth sub-block; a. thejRepresents the average value of the jth sub-block, and k represents the size of the sub-block;
Figure FDA0002324298190000013
vjrepresents the standard deviation of the jth sub-block;
Figure FDA0002324298190000014
Figure FDA0002324298190000015
k＝2，3，4...；q＝2，3，4...，7；i＝0，1，...，k×k-1；j＝0，1，...，Max-1；
based on Ii，jAnd AjAll carrier pixels are divided into two categories: type 0 class and type 1 class, L during encoding and decodingjAnd HjRespectively corresponding to type 0 and type 1, LjAnd HjIs calculated as equation (3);
wherein: h'j＝Hj-mod(Hj，k)；
L′j＝Lj-mod(Lj，k)；
j＝0，1，2，…，Max-1；k＝2，3，4，…；
The composite information value Cv represents a combined value of the secret information SI and the bit information P;
Bi，j＝Bin2dec(Cvi，j)
Figure FDA0002324298190000021
Bi，j＝Bin2dec(Cvi，j)
Figure FDA0002324298190000022
secondly, inputting a carrier image C, initializing, i ← 0, j ← 0 and k;
a third step, if all sub-blocks of the carrier image C have been used, a fourth step; otherwise, selecting the next k multiplied by k sub-block;
the fourth step, solve and synthesize the information value Cv(ii) a Through CvType of (1) calculating RoRotation of RoMultiplying by 90 degrees to obtain C';
the fifth step, according to the P of the jth sub-blockjCalculating W0，jAnd W1，j(ii) a At PjIf the number of occurrences of 1 is greater than 1, then W is1，jIs set to 1; if the number of occurrences of 0 is greater than 1, then W0，jIs set to 1;
sixth step, W1，jIf the value is 1, the eighth step is reached; w1，jIf the value is equal to 0, performing the ninth step;
seventh step, W0，jIf the value is 1, the tenth step is performed; w0，jIf the value is equal to 0, performing the eleventh step;
eighth step, fifth step according to formula CvIs embedded in, W1，jIs set to 0, to the twelfth step;
the ninth step, according to the formula
Bi，j＝Bin2dec(Cvi，j)
Figure FDA0002324298190000023
CvIs embedded in, W1，jIs set to 0, to the twelfth step;
the tenth step according to formula
Figure FDA0002324298190000031
CvIs embedded in, W0,jIs set to 0, to the twelfth step;
the tenth step, CvIs embedded in, W0,jIs set to 0, to the twelfth step;
a twelfth step, all secret information is embedded, going to the thirteenth step), and otherwise, going to the third step;
a tenth step of rotating R in reverseoX 90 degrees, output image.
2. The AMBTC algorithm-based microgrid energy management system of claim 1, wherein before the monitoring host controls each device and module to work normally, the following steps are carried out: detecting voltage data of the microgrid through a voltage detector; detecting the current data of the microgrid through a current detector; and acquiring power grid image data through a camera.
3. The AMBTC algorithm-based microgrid energy management system of claim 1, wherein after processing the grid diagram, the following are carried out: and diagnosing the power grid fault by using the diagnostic circuit through the power grid fault diagnosis module.
4. The AMBTC algorithm-based microgrid energy management system of claim 3, wherein after grid faults are diagnosed, grid energy consumption is calculated by the energy consumption calculation module using a calculation program.
5. The AMBTC algorithm-based microgrid energy management system of claim 3, wherein the grid fault diagnosis module diagnosis method comprises:
1) constructing a model: constructing a power grid full model, wherein the power grid full model based on a multi-source data model is established by acquiring relevant models and account information of a converged main network, marketing, power consumption information acquisition, metering and GIS system, and is a topological model formed by buses and feeders of a power grid, the power grid full model is a topological model comprising feeders in the power grid and load equipment on the feeders, the power grid full model can acquire parameters of the feeders and the load equipment, the parameters comprise current values, voltage values, metering information and position information, and the power grid full model acquires the position information of the feeders and the load equipment through the GIS system;
2) acquiring fault information: acquiring fault information of a feeder line, and positioning the feeder line where the fault is located according to the fault information and the power grid full model;
3) acquiring fault indication information: acquiring fault indication information of a fault indicator, and positioning a first fault section where a fault is located according to the fault indication information and the power grid full model;
4) acquiring a power distribution power failure event: acquiring a distribution transformer power failure event of a distribution transformer, and positioning first tripping equipment where a fault is located according to the distribution transformer power failure event and the power grid full model;
5) acquiring measurement sudden drop information: and acquiring measurement sudden drop information of the outgoing line switch, and positioning a second fault interval and second tripping equipment where the fault is located according to the measurement sudden drop information and the power grid full model, wherein the measurement sudden drop information comprises a measurement sudden drop proportion.
6. The AMBTC algorithm-based microgrid energy management system of claim 5, wherein after the step of obtaining measurement dip information, further comprising: and outputting fault comprehensive information, wherein the fault comprehensive information comprises the first fault interval, the first tripping device, the second fault interval and the second tripping device.
7. The AMBTC algorithm-based microgrid energy management system of claim 5, wherein after the step of obtaining measurement dip information, further comprising:
generating a diagnosis report: and generating a diagnosis report according to the feeder line, the first fault interval, the first trip device, the second fault interval and the second trip device obtained by positioning.
8. A micro-grid energy management system based on the AMBTC algorithm, which realizes the micro-grid energy management method based on the AMBTC algorithm of any one of claims 1 to 7, is characterized in that the micro-grid energy management system based on the AMBTC algorithm comprises:
the system comprises a voltage detector, a current detector, a camera, a monitoring host, a wireless base station, a cloud server, a power grid diagram processing module, a power grid fault diagnosis module and an energy consumption calculation module;
the voltage detector is connected with the monitoring host and used for detecting voltage data of the micro-grid;
the current detector is connected with the monitoring host and used for detecting the current data of the microgrid;
the camera is connected with the monitoring host and used for acquiring power grid image data;
the monitoring host is connected with the voltage detector, the current detector, the camera, the wireless base station, the power grid diagram processing module, the power grid fault diagnosis module and the energy consumption calculation module and is used for controlling each device and each module to work normally;
the wireless base station is connected with the monitoring host and the cloud server and used for transmitting wireless signals to connect the monitoring host and the cloud server and storing the detection data into the cloud server;
the power grid graph processing module is connected with the monitoring host and used for processing the power grid graph through an AMBTC algorithm;
the power grid fault diagnosis module is connected with the monitoring host and used for diagnosing power grid faults through the diagnosis circuit;
and the energy consumption calculation module is connected with the monitoring host and used for calculating the energy consumption of the power grid through a calculation program.
9. An information data processing terminal for implementing the AMBTC algorithm-based microgrid energy management method according to any one of claims 1-7.
10. A computer-readable storage medium comprising instructions that, when executed on a computer, cause the computer to perform the method for energy management of a microgrid based on an AMBTC algorithm according to any one of claims 1 to 7.
CN201911310155.4A 2019-12-18 2019-12-18 Micro-grid energy management system and method based on AMBTC algorithm Pending CN110932328A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111342462A (en) * 2020-03-31 2020-06-26 安阳师范学院 Microgrid optimization scheduling system, method, storage medium and computer program

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111342462A (en) * 2020-03-31 2020-06-26 安阳师范学院 Microgrid optimization scheduling system, method, storage medium and computer program

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