CN118117624A - Rural area hybrid networking method and system based on multiple energy storage forms - Google Patents
Rural area hybrid networking method and system based on multiple energy storage forms Download PDFInfo
- Publication number
- CN118117624A CN118117624A CN202410510125.2A CN202410510125A CN118117624A CN 118117624 A CN118117624 A CN 118117624A CN 202410510125 A CN202410510125 A CN 202410510125A CN 118117624 A CN118117624 A CN 118117624A
- Authority
- CN
- China
- Prior art keywords
- energy
- energy consumption
- subsystem
- distributed
- consumption data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000004146 energy storage Methods 0.000 title claims abstract description 62
- 238000000034 method Methods 0.000 title claims abstract description 45
- 230000006855 networking Effects 0.000 title claims abstract description 15
- 238000005265 energy consumption Methods 0.000 claims abstract description 272
- 230000008569 process Effects 0.000 claims abstract description 6
- 238000004891 communication Methods 0.000 claims description 79
- 230000005611 electricity Effects 0.000 claims description 6
- 230000009191 jumping Effects 0.000 claims description 6
- 238000012545 processing Methods 0.000 description 10
- 230000006870 function Effects 0.000 description 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 3
- 238000004422 calculation algorithm Methods 0.000 description 2
- 238000007405 data analysis Methods 0.000 description 2
- GELKBWJHTRAYNV-UHFFFAOYSA-K lithium iron phosphate Chemical compound [Li+].[Fe+2].[O-]P([O-])([O-])=O GELKBWJHTRAYNV-UHFFFAOYSA-K 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 238000010248 power generation Methods 0.000 description 2
- 230000001360 synchronised effect Effects 0.000 description 2
- 238000004804 winding Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000007599 discharging Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
Landscapes
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The invention belongs to the technical field of energy storage, and particularly relates to a rural area hybrid networking method and system based on various energy storage modes, wherein the method comprises the following steps: respectively constructing different distributed energy subsystems, and enabling the different distributed energy subsystems to be respectively connected with the traditional power grid subsystem; in the running process of the distributed energy subsystem, energy consumption data of energy consumption modules of the distributed energy subsystem are collected and stored every time a preset time interval passes, and under the condition that a preset time point arrives, the energy consumption data of the energy consumption modules of the distributed energy subsystem at the next time point are estimated to obtain estimated energy consumption data; under the condition that the estimated energy consumption data is greater than or equal to the electric quantity data, the traditional electric network subsystem distributes electric energy to the distributed energy subsystem in advance. The invention can solve the problem of impact on the traditional power grid subsystem when the distributed energy subsystem is powered.
Description
Technical Field
The invention belongs to the technical field of energy storage, and particularly relates to a rural area hybrid networking method and system based on various energy storage modes.
Background
At present, because natural resources in rural areas are rich, more and more energy systems are used for generating electricity by means of new energy and supplying power to electric equipment, the energy systems of the type are easy to be limited by natural conditions and lack stability, so that the energy systems of the type often need to be connected into a traditional power grid, and the traditional power grid supplies power to the energy systems of the type under the necessary condition.
The invention application with the publication number of CN117318104A discloses a hybrid energy storage optimization regulation platform for accessing new energy into a power grid, which comprises a data analysis module, wherein the input end of the data analysis module is electrically connected with a power grid state monitoring module. In addition, the invention application with publication number CN113241786A provides a power grid access method of a new energy system, a power generation unit is accessed to a power grid through a step-up transformer, a secondary winding is added on the low-voltage side of the step-up transformer, a new bus is led out from the secondary winding, an energy storage device is connected to the new bus, a plurality of energy storage power units connected in series in the energy storage device are utilized to output alternating current voltage matched with the voltage level of the new bus, and the working state of the energy storage device is controlled according to the working state of the power generation unit of the new energy system so as to perform reactive compensation on the power grid. However, the above-mentioned invention application cannot solve the problem that the new energy system may cause impact to the traditional power grid when using electricity, so the invention provides a rural area hybrid networking method and system based on various energy storage forms.
Disclosure of Invention
According to the invention, different distributed energy subsystems are connected into the traditional power grid subsystem, the energy storage module of the distributed energy subsystem supplies power to the energy consumption module under normal conditions, when a preset time point is reached, the energy consumption data of the distributed energy subsystem at the next time point is estimated, estimated energy consumption data is obtained, and under the condition that the estimated energy consumption data is greater than or equal to the electric quantity data of the distributed energy subsystem, the traditional power grid subsystem distributes electric energy in advance. The invention aims to solve the problem that a new energy system possibly impacts a traditional power grid when the new energy system is powered.
In order to achieve the above object, the present invention provides a rural area hybrid networking method based on multiple energy storage forms, which mainly comprises the following steps:
S1, respectively constructing different distributed energy subsystems, enabling the different distributed energy subsystems to be respectively connected with a traditional power grid subsystem, wherein the different distributed energy subsystems comprise a new energy module, an energy storage module, an energy consumption module and a communication module, the new energy module generates power by means of new energy, the generated electric energy is stored in the energy storage module, the energy consumption module consumes the electric energy stored by the energy storage module, and secret transceiving of communication data is carried out between the different distributed energy subsystems through the communication module;
s2, in the running process of the distributed energy subsystem, collecting and storing energy consumption data of the energy consumption modules of the distributed energy subsystem every time a preset time interval passes, and under the condition that a preset time point arrives, estimating the energy consumption data of the energy consumption modules of the distributed energy subsystem at the next time point to obtain estimated energy consumption data;
S3, comparing the estimated energy consumption data of the energy consumption modules of the distributed energy subsystem with the electric quantity data of the energy storage modules of the distributed energy subsystem, wherein the traditional electric network subsystem distributes electric energy to the distributed energy subsystem in advance under the condition that the estimated energy consumption data is larger than or equal to the electric quantity data, and the energy storage modules of the distributed energy subsystem continue to store redundant electric energy under the condition that the estimated energy consumption data is smaller than the electric quantity data.
As a preferred technical scheme of the present invention, before estimating the energy consumption data of the energy consumption module at the next time point, the communication module of the distributed energy subsystem sends a message for acquiring the energy consumption data to the communication modules of other distributed energy subsystems, so that the communication modules of the other distributed energy subsystems secret and reply the energy consumption data of the corresponding energy consumption modules at the current time.
As a preferred technical solution of the present invention, before estimating the energy consumption data of the energy consumption module at the next time point, the method further includes the following steps:
s21, storing energy consumption data of the current time of the energy consumption modules of all other distributed energy subsystems;
S22, judging whether all other distributed energy subsystems are selected, if yes, ending all the steps, and if no, selecting one unselected other distributed energy subsystem, and taking out the energy consumption data of the energy consumption modules of the other distributed energy subsystems for stopping the current time;
S23, judging whether data connection exists between the energy consumption data of the energy consumption module cut-off current time of the distributed energy subsystem and the energy consumption data of the energy consumption module cut-off current time of other taken out distributed energy subsystems, if not, jumping to the S22 to continue execution, and if yes, continuing the next step;
S24, estimating the energy consumption data of the energy consumption modules of the distributed energy subsystem at the next time point according to the existing data connection to obtain estimated energy consumption data, judging whether the difference value between the estimated energy consumption data and the actual energy consumption data of the energy consumption modules of the distributed energy subsystem is smaller than a preset difference value threshold value or not when the estimated energy consumption data and the actual energy consumption data of the energy consumption modules of the distributed energy subsystem reach the next time point, recording the selected other distributed energy subsystem under the condition that the difference value is smaller than the preset difference value threshold value, jumping to the S22, and jumping to the S22 under the condition that the difference value is not smaller than the preset difference value threshold value.
As a preferred technical solution of the present invention, when a preset time point arrives, the energy consumption data of the energy consumption module at the next time point is estimated by an estimation formula, where the estimation formula is as follows:
wherein/> For the estimated energy consumption data,/>For estimated energy consumption data of the energy consuming module of the distributed energy subsystem at a next point in time,/>For the overall influence coefficient of all other said distributed energy subsystems,/>For the total number of other distributed energy subsystems recorded,/>For the influence coefficients of the other recorded distributed energy subsystems,/>Energy consumption data and/>, at a next point in time, for the estimated recorded energy consumption modules of the other distributed energy subsystemsDifference between them.
As a preferred technical solution of the present invention, before the communication modules of the other distributed energy subsystems secret-reply to the corresponding energy consumption data of the energy consumption module at the current time, the other distributed energy subsystems generate and store an encryption information table in advance, where each data record in the encryption information table includes a set value and a flag value corresponding to the set value.
As a preferred technical solution of the present invention, the communication module of the other distributed energy subsystem secretly replies the energy consumption data of the corresponding energy consumption module at the current time, including the following steps:
S11, dividing the energy consumption data into a plurality of different energy consumption data sets by other distributed energy subsystems, generating and storing a specific numerical value by the other distributed energy subsystems, and corresponding the numerical value of the preset number of bits to one energy consumption data set every preset number of bits in the specific numerical value;
S12, searching the set value corresponding to the value of the preset bit number corresponding to the energy consumption data set in the encryption information table, determining whether to encrypt the energy consumption data set according to the mark value corresponding to the searched set value, and sending the secret energy consumption data set obtained by encryption to the distributed energy subsystem as a communication data set under the condition that encryption is needed, and directly sending the energy consumption data set to the distributed energy subsystem as the communication data set under the condition that encryption is not needed.
As a preferred technical solution of the present invention, the other distributed energy subsystem updates the contents of the encryption information table periodically.
As a preferred technical solution of the present invention, the other distributed energy subsystems further send the encryption information table to the distributed energy subsystem for storage.
As a preferred technical solution of the present invention, after the communication modules of the other distributed energy subsystems secret and reply to the corresponding energy consumption data of the energy consumption module at the current time, the distributed energy subsystem further includes the following steps:
S13, the distributed energy subsystem stores communication data sets according to the receiving sequence, and the distributed energy subsystem also generates and stores a specific numerical value by the same method as other methods for generating and storing specific numerical values by the distributed energy subsystem, wherein the numerical value of the preset number of bits corresponds to one communication data set every preset number of bits in the specific numerical value;
s14, searching the set value corresponding to the value of the preset bit number corresponding to the communication data set in the encryption information table, determining whether to decrypt the communication data set according to the mark value corresponding to the searched set value, and when the decryption is needed, decrypting the communication data set to obtain an energy consumption data set, and when the decryption is not needed, directly taking the communication data set as the energy consumption data set.
The invention also provides a rural area hybrid networking system based on various energy storage modes, which mainly comprises the following subsystems:
The distributed energy subsystem comprises a new energy module, an energy storage module, an energy consumption module and a communication module, wherein the new energy module generates electricity by means of new energy, the generated electric energy is stored in the energy storage module, the energy consumption module consumes the electric energy stored by the energy storage module, and the communication module carries out secret transceiving of communication data among different distributed energy subsystems;
The energy consumption data of the energy consumption modules of the distributed energy subsystem are estimated under the condition that the preset time point arrives, so as to obtain estimated energy consumption data;
And the traditional power grid subsystem compares the estimated energy consumption data of the energy consumption modules of the distributed energy subsystem with the electric quantity data of the energy storage modules of the distributed energy subsystem, and performs electric energy distribution to the distributed energy subsystem in advance under the condition that the estimated energy consumption data is more than or equal to the electric quantity data.
Compared with the prior art, the invention has the following beneficial effects:
firstly, respectively constructing different distributed energy subsystems, and respectively enabling the different distributed energy subsystems to be connected into a traditional power grid subsystem, wherein the distributed energy subsystems comprise a new energy module, an energy storage module, an energy consumption module and a communication module; secondly, in the running process of the distributed energy subsystem, energy consumption data of energy consumption modules of the distributed energy subsystem are collected and stored every time a preset time interval passes, and under the condition that a preset time point arrives, the energy consumption data of the energy consumption modules of the distributed energy subsystem at the next time point are estimated to obtain estimated energy consumption data; finally, under the condition that the estimated energy consumption data of the distributed energy subsystem is more than or equal to the electric quantity data, the traditional power grid subsystem distributes electric energy to the distributed energy subsystem in advance. The invention can solve the problem of impact on the traditional power grid subsystem when the distributed energy subsystem is powered, improves the power supply stability, and in addition, the distributed energy subsystems send the energy consumption data through the communication module in a secret way, and can also ensure the data security of the energy consumption data.
Drawings
FIG. 1 is a flow chart of steps of a rural area hybrid networking method based on multiple energy storage forms of the present invention;
fig. 2 is a block diagram of a rural area hybrid networking system based on multiple energy storage forms according to the present invention.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
It will be understood that the terms "first," "second," and the like, as used herein, may be used to describe various elements, but these elements are not limited by these terms unless otherwise specified. These terms are only used to distinguish one element from another element. For example, a first xx script may be referred to as a second xx script, and similarly, a second xx script may be referred to as a first xx script, without departing from the scope of this disclosure.
The invention provides a rural area hybrid networking method based on various energy storage modes as shown in fig. 1, which is mainly realized by executing the following steps:
S1, respectively constructing different distributed energy subsystems, enabling the different distributed energy subsystems to be respectively connected with a traditional power grid subsystem, wherein the different distributed energy subsystems comprise a new energy module, an energy storage module, an energy consumption module and a communication module, the new energy module generates power by means of the new energy, the generated electric energy is stored in the energy storage module, the energy consumption module consumes the electric energy reserved by the energy storage module, and secret transceiving of communication data is carried out among the different distributed energy subsystems through the communication module;
S2, in the running process of the distributed energy subsystem, energy consumption data of energy consumption modules of the distributed energy subsystem are collected and stored every time a preset time interval passes, and under the condition that a preset time point arrives, the energy consumption data of the energy consumption modules of the distributed energy subsystem at the next time point are estimated to obtain estimated energy consumption data;
s3, comparing estimated energy consumption data of the energy consumption modules of the distributed energy subsystem with electric quantity data of the energy storage modules of the distributed energy subsystem, and performing electric energy distribution to the distributed energy subsystem in advance by the traditional electric network subsystem under the condition that the estimated energy consumption data is larger than or equal to the electric quantity data, wherein the energy storage modules of the distributed energy subsystem continue to store redundant electric energy under the condition that the estimated energy consumption data is smaller than the electric quantity data.
Specifically, in S1, the distributed energy subsystem comprises a new energy module, an energy storage module, an energy consumption module and a communication module, wherein the new energy module uses new energy to generate electricity, the new energy comprises wind energy, solar energy and water energy, one implementation mode of the new energy module is introduced, two existing reservoirs with a certain fall in a rural area can be utilized, a hydraulic generator is built between the two reservoirs, a high-level reservoir is supplied with water through a photovoltaic lifting pump, when the high-level reservoir is used for discharging water to the low-level reservoir, the energy storage module is used for storing the electric energy produced by the new energy module, the energy storage module can be a lithium iron phosphate energy storage battery, and the lithium iron phosphate energy storage battery has the advantages of high energy density, high safety, long service life, good charging performance and the like, the storage battery of the electric automobile can be used as an additional energy storage module, the energy consumption module uses the electric energy stored by the energy storage module, and the charging facilities in the rural area are required to be enhanced in consideration of popularization of the new energy automobile, so that besides the traditional electric load, the energy consumption module can also be a charging pile, the charging pile has the functions of intelligent monitoring and intelligent metering, the charging power is adjustable, the protection functions of input and output overvoltage and undervoltage protection, short-circuit protection, overcurrent protection, leakage protection, grounding detection and the like are also complete, the communication module can send and receive communication data, and different distributed energy subsystems are connected to the traditional power grid subsystem, in S2, when one distributed energy subsystem operates, the energy consumption data of the energy consumption module of the distributed energy subsystem is collected and stored every preset time interval, for example, energy consumption data is collected and stored every half hour, when a preset time point arrives, the energy consumption data of the energy consumption module of the distributed energy subsystem at the next time point is estimated, estimated energy consumption data is obtained, for example, the energy consumption data of 2:00 is estimated at 1:00 each day, the energy consumption data of 4:00 is estimated at 3:00 each day, the energy consumption data of 6:00 is estimated at 5:00 each day, in S3, if the estimated energy consumption data of the energy consumption module of the distributed energy subsystem is greater than or equal to the electric quantity data of the energy storage module of the distributed energy subsystem, a power dispatching plan is formulated in advance by the traditional power grid subsystem, so that the lack of electric energy is distributed to the distributed energy subsystem in advance on the premise of ensuring that the running of the power grid subsystem is stable, and in this way, the unnecessary energy consumption of a large amount of electric energy is suddenly required to be consumed by the distributed energy subsystem is avoided, otherwise, the energy storage module of the distributed energy subsystem is not used up to continue storing the electric energy.
It should be noted that, unlike the prior art, the invention performs regional optical storage direct current networking on the new energy modules and the energy storage modules of different distributed energy subsystems, the new energy modules and the energy storage modules are connected to the same direct current bus, and output voltage and power are balanced through the energy storage modules, and direct current is converted into alternating current through one inverter, so that different distributed energy subsystems are uniformly connected to the traditional electric network subsystem, and compared with the case that different distributed energy subsystems are singly connected to the traditional electric network subsystem, conversion loss can be reduced, and impact on the traditional electric network subsystem is reduced.
Further, before the energy consumption data of the energy consumption module at the next time point is estimated, the communication modules of the distributed energy source subsystems send information for acquiring the energy consumption data to the communication modules of other distributed energy source subsystems, so that the communication modules of the other distributed energy source subsystems secret and reply the energy consumption data of the corresponding energy consumption modules at the current time.
Specifically, there may be a potential relation between energy consumption data of different distributed energy subsystems, for example, in different living areas of a certain village, the distributed energy subsystems of the residential area, the distributed energy subsystems of the working area, the distributed energy subsystems of the entertainment area, and the like are respectively constructed, so that in order to facilitate understanding, there may be a potential relation between energy consumption data of the different distributed energy subsystems, when estimating the energy consumption data of one of the distributed energy subsystems, it is also necessary to consider the energy consumption data of other distributed energy subsystems having a potential relation with the energy consumption data of the one distributed energy subsystem, therefore, before estimating the energy consumption data of the energy consumption module of the one distributed energy subsystem at the next time point, the communication module of the one distributed energy subsystem needs to send a message for acquiring the energy consumption data to the communication module of all other distributed energy subsystems, and then the communication module of all other distributed energy subsystems sends the energy consumption data of the corresponding module at the current time to the distributed energy subsystem in a secret manner that the secret cut-off time is not obtained for the energy consumption data of the one distributed energy subsystem.
Further, before estimating the energy consumption data of the energy consumption module at the next time point, the method further comprises the following steps:
S21, storing energy consumption data of the energy consumption modules of all other distributed energy subsystems in the current time;
S22, judging whether all other distributed energy subsystems are selected, if yes, ending all the steps, and if no, selecting one unselected other distributed energy subsystem, and taking out energy consumption data of the energy consumption modules of the other distributed energy subsystems at the current time;
S23, judging whether data connection exists between the energy consumption data of the energy consumption module of the distributed energy subsystem at the cut-off current time and the energy consumption data of the energy consumption modules of the other taken-out distributed energy subsystems at the cut-off current time, if not, continuing to execute the step S22, and if so, continuing to execute the next step;
S24, estimating energy consumption data of the energy consumption modules of the distributed energy subsystems at the next time point according to the existing data connection to obtain estimated energy consumption data, judging whether the difference value between the estimated energy consumption data and the actual energy consumption data of the energy consumption modules of the distributed energy subsystems is smaller than a preset difference value or not when the estimated energy consumption data and the actual energy consumption data of the energy consumption modules of the distributed energy subsystems reach the next time point, recording other selected distributed energy subsystems under the condition that the difference value is smaller than the preset difference value, continuing to execute the step S22, and continuing to execute the step S22 under the condition that the difference value is not smaller than the preset difference value.
Specifically, S21 to S24 describe a method for determining that energy consumption data is potentially related to other distributed energy subsystems before estimating energy consumption data of one distributed energy subsystem, in S21, this distributed energy subsystem stores energy consumption data of all other distributed energy subsystems at the current time, in S22, it is determined whether all other distributed energy subsystems have been selected, if yes, all steps are finished, if no, another non-selected distributed energy subsystem is selected, energy consumption data of the stored other distributed energy subsystem is taken out, continuing to execute S23, in S23, it is determined whether the energy consumption data of the other distributed energy subsystem at the current time is related to the energy consumption data of the other taken out, the method for determining whether the energy consumption data of the other distributed energy subsystem at the current time is related to the energy is not limited, it is possible to manually determine whether the energy consumption data of the other distributed energy subsystem is related to the energy subsystem, if no, it is determined that the energy consumption data of the other distributed energy subsystem at the current time is related to the energy subsystem, if no, and if no, the energy subsystem is related to the energy subsystem is continuously connected to the energy subsystem at the current time point 1, the energy is continuously estimated at the current time point 1, if no, the energy consumption data of the other distributed energy subsystem is continuously is related to the energy subsystem is continuously estimated at the point 1.5 times of the energy consumption data of the energy subsystem, if no, then the energy consumption data of the other distributed energy subsystem is continuously estimated at the time 1, when the next time point is reached, if the difference value between the estimated energy consumption data and the real energy consumption data of the distributed energy subsystem is smaller than a preset difference value threshold, recording other selected distributed energy subsystems, and continuing to execute the step S22, wherein the difference value threshold can be specifically set according to the actual application condition, otherwise, continuing to execute the step S22 directly.
Further, under the condition that a preset time point arrives, the energy consumption data of the energy consumption module at the next time point is estimated by an estimation formula, wherein the estimation formula is as follows:
Specifically,/> To estimate energy consumption data,/>For estimating the energy consumption data of the energy consumption module of the distributed energy subsystem at the next time point, the estimation method here may be to use a fitting algorithm on the energy consumption data of the distributed energy subsystem at the current time of cutoff,/>For the overall influence coefficient of all other distributed energy subsystems,/>Can be specifically set according to the actual application situation,/>As the total number of other distributed energy subsystems recorded,/>The influence coefficient of other recorded distributed energy subsystems can be specifically set according to the actual application condition，/>Energy consumption data and/>, at a next point in time, for estimated energy consumption modules of other recorded distributed energy subsystemsThe difference value between the two can be estimated by using a fitting algorithm to the recorded energy consumption data of the other distributed energy subsystem at the current time.
In addition to the above estimation formula, the energy consumption data of the distributed energy subsystem at the next time point can be directly estimated according to the data relationship between the energy consumption data of the other recorded distributed energy subsystems and the energy consumption data of the distributed energy subsystem, and when the number of the other recorded distributed energy subsystems is multiple, an influence coefficient is set for each of the other recorded distributed energy subsystems independently.
Further, before the communication modules of the other distributed energy subsystems secret and reply the energy consumption data of the corresponding energy consumption modules at the current time, the other distributed energy subsystems generate and store an encryption information table in advance, and each data record in the encryption information table comprises a set value and a marking value corresponding to the set value. Specifically, the set value and the flag value may be binary values, such as 1101111, and a flag value of 1,1 corresponding to 1101111 indicates encryption, and a flag value of 1110000, and a flag value of 0,0 corresponding to 1110000 indicates no encryption.
Further, the communication modules of other distributed energy subsystems secret and reply the energy consumption data of the corresponding energy consumption modules at the current time, and the method comprises the following steps:
S11, dividing the energy consumption data into a plurality of different energy consumption data sets by other distributed energy subsystems, generating and storing a specific value by the other distributed energy subsystems, and corresponding the preset numerical value of the digits to one energy consumption data set every preset digit in the specific value;
S12, searching a set value corresponding to the value of the preset bit number corresponding to the energy consumption data set in the encryption information table, determining whether to encrypt the energy consumption data set according to the mark value corresponding to the searched set value, and sending the secret energy consumption data set obtained by encryption to the distributed energy subsystem as a communication data set when the encryption is needed, and directly sending the energy consumption data set to the distributed energy subsystem as the communication data set when the encryption is not needed.
Specifically, in S11, the other distributed energy subsystems divide the energy consumption data to be transmitted into a plurality of different energy consumption data sets, the energy consumption data sets may be randomly divided, the other distributed energy subsystems generate and store a specific value, the specific value may also be binary, the value of the preset bit number corresponds to one energy consumption data set every preset bit number in the specific value, the preset bit number refers to the bit number of the preset bit number, for example, the specific value is 11011111110000, then the energy consumption data sets 1 and 1101111 correspond, the energy consumption data sets 2 and 1110000 correspond, in S12, the preset value corresponding to the value of the preset bit number corresponding to the energy consumption data sets in the encryption information table is searched, whether the energy consumption data sets are encrypted or not is determined according to the mark value corresponding to the searched preset value, if the encryption processing is required, the secret energy consumption data sets obtained by the encryption processing are transmitted to the distributed energy subsystem as communication data sets, if the encryption processing is not required, and then the energy consumption data sets 2 are not directly encrypted as the energy consumption data sets in the distributed energy consumption data table if the encryption information table is not required to be encrypted.
Further, other distributed energy subsystems also send the encryption information table to the distributed energy subsystem for storage;
further, other distributed energy subsystems periodically update the contents of the encryption information table;
Further, after the communication modules of the other distributed energy subsystems secret and reply to the energy consumption data of the corresponding energy consumption modules at the current time, the distributed energy subsystem further comprises the following steps:
s13, the distributed energy subsystem stores the communication data sets according to the receiving sequence, and the distributed energy subsystem also generates and stores a specific numerical value by the same method as the method for generating and storing specific numerical values by other distributed energy subsystems, and the numerical value of the preset number of bits is corresponding to one communication data set every preset number of bits in the specific numerical value;
S14, searching a set value corresponding to the numerical value of the preset bit number corresponding to the communication data set in the encryption information table, determining whether to decrypt the communication data set according to the marked numerical value corresponding to the searched set value, and when the decryption is needed, decrypting the communication data set to obtain an energy consumption data set, and when the decryption is not needed, directly taking the communication data set as the energy consumption data set.
Specifically, the other distributed energy subsystems send the communication data set to the distributed energy subsystems and send the encryption information table to the distributed energy subsystems, encryption processing is not needed to be carried out on the encryption information table, in addition, the content of the encryption information table of the other distributed energy subsystems is not unchanged, and the other distributed energy subsystems can update the content of the encryption information table periodically, so that the safety when energy consumption data is sent to the distributed energy subsystems can be improved. S13 to S14 describe a method for recovering an energy consumption data set from a received communication data set by a distributed energy subsystem, in S13, the distributed energy subsystem stores the communication data set according to a receiving sequence, the receiving sequence is the sequence of sending the communication data set by other distributed energy subsystems, the distributed energy subsystem also generates and stores a specific value by the same method as the method for generating and storing the specific value by other distributed energy subsystems, the specific value is the same as the specific value generated and stored by other distributed energy subsystems, the preset digit value corresponds to the communication data set every preset digit in the specific value, the preset digit value also refers to the digit of the preset digit, in S14, the preset digit corresponding to the preset digit value of the communication data set in an encryption information table is searched, whether decryption processing is carried out on the communication data set is determined according to the mark value corresponding to the searched preset digit value, if decryption processing is required, the communication data set is decrypted to obtain the energy consumption data set, and if decryption processing is not required, the communication data set is directly carried out to S14, and the energy consumption is not required to be equal to S14, and the process is not required to be carried out on the communication data set, and is similar to S14.
By the method, the safety of the energy consumption data can be ensured, and the processing load of other distributed energy subsystems can be reduced, because if the information whether each energy consumption data set is encrypted or not is stored, when the data volume of the energy consumption data is large, no small processing load is caused to the other distributed energy subsystems.
Referring to fig. 2, the present invention further provides a rural area hybrid networking system based on multiple energy storage forms, including a distributed energy subsystem, an estimation processing subsystem, and a conventional power grid subsystem, for implementing the rural area hybrid networking method based on multiple energy storage forms as described above.
Specifically, the functions of the respective subsystems are described as follows:
The distributed energy subsystem comprises a new energy module, an energy storage module, an energy consumption module and a communication module, wherein the new energy module generates electricity by means of new energy, the generated electric energy is stored in the energy storage module, the energy consumption module consumes the electric energy stored by the energy storage module, and the communication module carries out secret transceiving of communication data among different distributed energy subsystems;
The energy consumption data of the energy consumption modules of the distributed energy subsystem are estimated under the condition that the preset time point arrives, so as to obtain estimated energy consumption data;
And the traditional power grid subsystem compares the estimated energy consumption data of the energy consumption modules of the distributed energy subsystem with the electric quantity data of the energy storage modules of the distributed energy subsystem, and performs electric energy distribution to the distributed energy subsystem in advance under the condition that the estimated energy consumption data is more than or equal to the electric quantity data.
It should be understood that, although the steps in the flowcharts of the embodiments of the present invention are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in various embodiments may include multiple sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, nor do the order in which the sub-steps or stages are performed necessarily performed in sequence, but may be performed alternately or alternately with at least a portion of the sub-steps or stages of other steps or other steps.
Those skilled in the art will appreciate that implementing all or part of the above-described methods may be accomplished by way of computer programs, which may be stored on a non-transitory computer readable storage medium, and which, when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (SYNCHLINK) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
The technical features of the above embodiments may be arbitrarily combined, and for brevity, all of the possible combinations of the technical features of the above embodiments are not described, however, they should be considered as the scope of the description of the present specification as long as there is no contradiction between the combinations of the technical features.
The foregoing examples have been presented to illustrate only a few embodiments of the invention and are described in more detail and are not to be construed as limiting the scope of the invention. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the invention, which are all within the scope of the invention. Accordingly, the scope of protection of the present invention is to be determined by the appended claims.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the invention.
Claims (10)
1. The rural area hybrid networking method based on various energy storage forms is characterized by comprising the following steps of:
S1, respectively constructing different distributed energy subsystems, enabling the different distributed energy subsystems to be respectively connected with a traditional power grid subsystem, wherein the different distributed energy subsystems comprise a new energy module, an energy storage module, an energy consumption module and a communication module, the new energy module generates power by means of new energy, the generated electric energy is stored in the energy storage module, the energy consumption module consumes the electric energy stored by the energy storage module, and secret transceiving of communication data is carried out between the different distributed energy subsystems through the communication module;
s2, in the running process of the distributed energy subsystem, collecting and storing energy consumption data of the energy consumption modules of the distributed energy subsystem every time a preset time interval passes, and under the condition that a preset time point arrives, estimating the energy consumption data of the energy consumption modules of the distributed energy subsystem at the next time point to obtain estimated energy consumption data;
S3, comparing the estimated energy consumption data of the energy consumption modules of the distributed energy subsystem with the electric quantity data of the energy storage modules of the distributed energy subsystem, wherein the traditional electric network subsystem distributes electric energy to the distributed energy subsystem in advance under the condition that the estimated energy consumption data is larger than or equal to the electric quantity data, and the energy storage modules of the distributed energy subsystem continue to store redundant electric energy under the condition that the estimated energy consumption data is smaller than the electric quantity data.
2. The method of claim 1, wherein the communication module of the distributed energy subsystem sends a message for obtaining energy consumption data to the communication modules of other distributed energy subsystems before estimating the energy consumption data of the energy consumption module at the next point in time, so that the communication modules of the other distributed energy subsystems secret and reply to the energy consumption data of the corresponding energy consumption module at the current time.
3. The method according to claim 2, further comprising the step of, prior to estimating the energy consumption data of the energy consuming module at the next point in time:
s21, storing energy consumption data of the current time of the energy consumption modules of all other distributed energy subsystems;
S22, judging whether all other distributed energy subsystems are selected, if yes, ending all the steps, and if no, selecting one unselected other distributed energy subsystem, and taking out the energy consumption data of the energy consumption modules of the other distributed energy subsystems for stopping the current time;
S23, judging whether data connection exists between the energy consumption data of the energy consumption module cut-off current time of the distributed energy subsystem and the energy consumption data of the energy consumption module cut-off current time of other taken out distributed energy subsystems, if not, jumping to the S22 to continue execution, and if yes, continuing the next step;
S24, estimating the energy consumption data of the energy consumption modules of the distributed energy subsystem at the next time point according to the existing data connection to obtain estimated energy consumption data, judging whether the difference value between the estimated energy consumption data and the actual energy consumption data of the energy consumption modules of the distributed energy subsystem is smaller than a preset difference value threshold value or not when the estimated energy consumption data and the actual energy consumption data of the energy consumption modules of the distributed energy subsystem reach the next time point, recording the selected other distributed energy subsystem under the condition that the difference value is smaller than the preset difference value threshold value, jumping to the S22, and jumping to the S22 under the condition that the difference value is not smaller than the preset difference value threshold value.
4. A method according to claim 3, wherein in case of the arrival of a predetermined point in time, the energy consumption data of the energy consuming module at the next point in time is estimated by an estimation formula, the estimation formula being as follows: wherein/> For the estimated energy consumption data,/>For estimated energy consumption data of the energy consuming module of the distributed energy subsystem at a next point in time,/>For the overall influence coefficient of all other said distributed energy subsystems,/>For the total number of other distributed energy subsystems recorded,/>For the influence coefficients of the other recorded distributed energy subsystems,/>Energy consumption data and/>, at a next point in time, for the estimated recorded energy consumption modules of the other distributed energy subsystemsDifference between them.
5. The method of claim 2, wherein the other distributed energy subsystems generate and store an encryption information table in advance, each data record in the encryption information table including a set value, and a flag value corresponding to the set value, before the communication module of the other distributed energy subsystems secretly replies to the energy consumption data of the corresponding energy consumption module at the current time.
6. The method of claim 5, wherein the communication modules of the other distributed energy subsystems secret replies to the corresponding energy consumption module with energy consumption data for the current time of expiration, comprising the steps of:
S11, dividing the energy consumption data into a plurality of different energy consumption data sets by other distributed energy subsystems, generating and storing a specific numerical value by the other distributed energy subsystems, and corresponding the numerical value of the preset number of bits to one energy consumption data set every preset number of bits in the specific numerical value;
S12, searching the set value corresponding to the value of the preset bit number corresponding to the energy consumption data set in the encryption information table, determining whether to encrypt the energy consumption data set according to the mark value corresponding to the searched set value, and sending the secret energy consumption data set obtained by encryption to the distributed energy subsystem as a communication data set under the condition that encryption is needed, and directly sending the energy consumption data set to the distributed energy subsystem as the communication data set under the condition that encryption is not needed.
7. The method of claim 6, wherein other distributed energy subsystems periodically update the contents of the encryption information table.
8. The method of claim 7, wherein the other distributed energy subsystems further send the encryption information table to the distributed energy subsystem for storage.
9. The method of claim 8, wherein after the communication modules of the other distributed energy subsystems secret to recover the energy consumption data for the corresponding energy consuming modules at the current time, the distributed energy subsystem further comprises the steps of:
S13, the distributed energy subsystem stores communication data sets according to the receiving sequence, and the distributed energy subsystem also generates and stores a specific numerical value by the same method as other methods for generating and storing specific numerical values by the distributed energy subsystem, wherein the numerical value of the preset number of bits corresponds to one communication data set every preset number of bits in the specific numerical value;
s14, searching the set value corresponding to the value of the preset bit number corresponding to the communication data set in the encryption information table, determining whether to decrypt the communication data set according to the mark value corresponding to the searched set value, and when the decryption is needed, decrypting the communication data set to obtain an energy consumption data set, and when the decryption is not needed, directly taking the communication data set as the energy consumption data set.
10. Rural area hybrid networking system based on multiple energy storage forms for implementing the method according to any one of claims 1-9, comprising the following subsystems:
The distributed energy subsystem comprises a new energy module, an energy storage module, an energy consumption module and a communication module, wherein the new energy module generates electricity by means of new energy, the generated electric energy is stored in the energy storage module, the energy consumption module consumes the electric energy stored by the energy storage module, and the communication module carries out secret transceiving of communication data among different distributed energy subsystems;
The energy consumption data of the energy consumption modules of the distributed energy subsystem are estimated under the condition that the preset time point arrives, so as to obtain estimated energy consumption data;
And the traditional power grid subsystem compares the estimated energy consumption data of the energy consumption modules of the distributed energy subsystem with the electric quantity data of the energy storage modules of the distributed energy subsystem, and performs electric energy distribution to the distributed energy subsystem in advance under the condition that the estimated energy consumption data is more than or equal to the electric quantity data.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410510125.2A CN118117624B (en) | 2024-04-26 | Rural area hybrid networking method and system based on multiple energy storage forms |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410510125.2A CN118117624B (en) | 2024-04-26 | Rural area hybrid networking method and system based on multiple energy storage forms |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN118117624A true CN118117624A (en) | 2024-05-31 |
| CN118117624B CN118117624B (en) | 2024-07-30 |
Family
ID=
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105552940A (en) * | 2015-12-22 | 2016-05-04 | 广东顺德中山大学卡内基梅隆大学国际联合研究院 | Distributed global optimum energy management system based on an alternating direction method of multipliers |
| KR101991759B1 (en) * | 2019-02-25 | 2019-06-21 | 주식회사 상림이씨엠 | Control Method for Energy Trading in Smart-grid |
| CN114336775A (en) * | 2021-11-23 | 2022-04-12 | 国网浙江省电力有限公司嘉兴供电公司 | Power distribution network scheduling control system and method including distributed energy access |
| CN115258861A (en) * | 2022-07-28 | 2022-11-01 | 广州广日电梯工业有限公司 | Elevator energy management method, system, device and storage medium |
| CN115378005A (en) * | 2022-09-22 | 2022-11-22 | 安徽南国冷热综合能源有限公司 | Light-heat storage integrated energy microgrid system |
| CN116169717A (en) * | 2023-03-01 | 2023-05-26 | 甘肃同兴智能科技发展有限责任公司 | Distributed energy power generation and power grid load dynamic balance system, method and device |
| CN116455054A (en) * | 2022-11-23 | 2023-07-18 | 杭州五影科技有限公司 | Carbon emission management system based on mode switching |
| CN116826823A (en) * | 2021-10-08 | 2023-09-29 | 周锡卫 | New energy micro-grid cluster system and grid-connected operation control method |
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105552940A (en) * | 2015-12-22 | 2016-05-04 | 广东顺德中山大学卡内基梅隆大学国际联合研究院 | Distributed global optimum energy management system based on an alternating direction method of multipliers |
| KR101991759B1 (en) * | 2019-02-25 | 2019-06-21 | 주식회사 상림이씨엠 | Control Method for Energy Trading in Smart-grid |
| CN116826823A (en) * | 2021-10-08 | 2023-09-29 | 周锡卫 | New energy micro-grid cluster system and grid-connected operation control method |
| CN114336775A (en) * | 2021-11-23 | 2022-04-12 | 国网浙江省电力有限公司嘉兴供电公司 | Power distribution network scheduling control system and method including distributed energy access |
| CN115258861A (en) * | 2022-07-28 | 2022-11-01 | 广州广日电梯工业有限公司 | Elevator energy management method, system, device and storage medium |
| CN115378005A (en) * | 2022-09-22 | 2022-11-22 | 安徽南国冷热综合能源有限公司 | Light-heat storage integrated energy microgrid system |
| CN116455054A (en) * | 2022-11-23 | 2023-07-18 | 杭州五影科技有限公司 | Carbon emission management system based on mode switching |
| CN116169717A (en) * | 2023-03-01 | 2023-05-26 | 甘肃同兴智能科技发展有限责任公司 | Distributed energy power generation and power grid load dynamic balance system, method and device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Cai et al. | Day-ahead optimal charging/discharging scheduling for electric vehicles in microgrids | |
| Xiong et al. | Optimal planning of storage in power systems integrated with wind power generation | |
| Nguyen et al. | Stochastic optimization of renewable-based microgrid operation incorporating battery operating cost | |
| Nick et al. | Optimal siting and sizing of distributed energy storage systems via alternating direction method of multipliers | |
| Dragičević et al. | Capacity optimization of renewable energy sources and battery storage in an autonomous telecommunication facility | |
| US20180254637A1 (en) | Energy management system and method | |
| Talebizadeh et al. | Evaluation of plug-in electric vehicles impact on cost-based unit commitment | |
| Miranda et al. | A holistic approach to the integration of battery energy storage systems in island electric grids with high wind penetration | |
| Zaibi et al. | Smart power management of a hybrid photovoltaic/wind stand-alone system coupling battery storage and hydraulic network | |
| KR101996882B1 (en) | Control Method for Energy Trading in Smart-grid | |
| KR102088532B1 (en) | Energy management system and enetgy management method thereof and energy operation system | |
| US20180257499A1 (en) | Dual charging station | |
| Aryanezhad et al. | Management and coordination charging of smart park and V2G strategy based on Monte Carlo algorithm | |
| Al Wahedi et al. | Assessment of a stand‐alone hybrid solar and wind energy‐based electric vehicle charging station with battery, hydrogen, and ammonia energy storages | |
| Gupta et al. | Stochastic security constrained unit commitment with battery energy storage and wind power integration | |
| Schram et al. | Insights on the capacity value of photovoltaics, community batteries and electric vehicles | |
| JP2012531181A (en) | Method for controlling a network computing cluster that provides IT services | |
| CN118117624B (en) | Rural area hybrid networking method and system based on multiple energy storage forms | |
| CN118117624A (en) | Rural area hybrid networking method and system based on multiple energy storage forms | |
| Wibowo et al. | Dynamic OPF considering different charging and discharging cost of energy storage using mixed-integer quadratic programming | |
| Paliwal et al. | Short-term optimal energy management in stand-alone microgrid with battery energy storage | |
| Guo et al. | Impact of power system partitioning on the efficiency of distributed multi-step optimization | |
| Vo et al. | Amsterdam ArenA stadium: Real-time smart battery energy storage system coordination for voltage support | |
| Vollenweider | Grid integration of PV systems and local storage in distribution networks | |
| JP7208095B2 (en) | Server device and control method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant |