CN115954921A - Energy management system based on industrial and commercial energy storage and management method thereof - Google Patents
Energy management system based on industrial and commercial energy storage and management method thereof Download PDFInfo
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Abstract
The invention belongs to the technical field of energy management, and particularly relates to an energy management system based on industrial and commercial energy storage and a management method thereof. According to the invention, on the premise of ensuring that the battery cluster is not over-discharged, the switching between the idle battery cluster and the load battery cluster is realized, in the process, the existence of the electric loss is considered, the electric loss is added into the preset process of the battery cluster discharging risk threshold and the allowable switching electric quantity, the situation that the electric equipment cannot normally operate due to the influence of the electric loss is avoided, meanwhile, in the working process of the load battery cluster, the setting of the idle battery cluster can be supplemented, the using amount of the battery cluster can be reduced, the self-discharge of the idle battery cluster is reduced, the energy is saved, and meanwhile, the normal operation of the electric equipment can be ensured.
Description
Technical Field
The invention belongs to the technical field of energy management, and particularly relates to an energy management system based on industrial and commercial energy storage and a management method thereof.
Background
Industrial and commercial energy storage is a industrialized energy supply mode that is less than the energy storage power station, it only needs to set for charge-discharge time and can accomplish energy management, functional demand also is less than the energy storage power station, along with the continuous increase of large-scale industrial user, industrial and commercial energy storage mode has been extremely close to the energy storage power station, it is obvious, also need further optimization in the aspect of its energy management, along with the development of information technology, energy management system to industrial and commercial energy storage mode also should the time and give birth to, its purpose aims at satisfying the demand of power consumption user, and reduce the energy consumption in the power supply process.
The energy management system of the existing industrial and commercial energy storage is mostly characterized in that different power supply combination forms are preset according to the required electric quantity of electric equipment, and an energy storage module is set based on the energy supply combination forms, so that the number of required battery clusters in the energy storage module is too large, the excessive battery clusters in an idle state can cause energy waste undoubtedly, and along with the extension of the operation period of the electric equipment and the energy storage module, the electricity loss generated between the electric equipment and the energy storage module can also affect the operation of the electric equipment, and when the idle battery clusters exist, the condition that the energy supply of the energy storage module is insufficient can also occur.
Disclosure of Invention
The invention aims to provide an energy management system based on industrial and commercial energy storage and a management method thereof, which can realize the switching between an idle battery cluster and a load battery cluster on the premise of ensuring that the battery cluster is not over-discharged, thereby reducing the use amount of the battery cluster, reducing the battery cluster in an idle state and realizing the energy conservation.
The technical scheme adopted by the invention is as follows:
an energy management method based on industrial and commercial energy storage comprises the following steps:
acquiring power supply load information of energy storage equipment, wherein the energy storage equipment comprises a plurality of battery clusters and corresponds to a plurality of electric equipment;
establishing a monitoring time interval, acquiring a comprehensive load of the energy storage device and the required electric quantity of the electric equipment in the monitoring time interval, and inputting the comprehensive load and the required electric quantity into an electric loss evaluation model together to obtain the comprehensive electric loss between the energy storage device and the electric equipment;
in a monitoring period, constructing a plurality of cycle periods, and acquiring a power supply load fluctuation value in the cycle periods;
obtaining an allowable fluctuation value, comparing the allowable fluctuation value with a power supply load fluctuation value, and screening out all power supply load fluctuation values which are greater than or equal to the allowable fluctuation value and corresponding fluctuation nodes;
constructing time periods to be evaluated in the cycle period by taking the fluctuation nodes as evaluation points, and acquiring the combined quantity of the electric equipment in each time period to be evaluated to obtain a plurality of combined samples;
acquiring the required electric quantity of each combined sample, and synchronously matching battery cluster combinations meeting power supply loads to obtain a load battery cluster and an idle battery cluster;
presetting a battery cluster discharging risk threshold and an allowable switching electric quantity according to the comprehensive electric loss;
and inputting the discharge risk threshold value of the battery cluster, the allowable switching electric quantity, the real-time electric quantity of the load battery cluster and the charged electric quantity of the idle battery cluster into a planning model together, and switching the load battery cluster and the idle battery cluster.
In a preferred embodiment, the step of inputting the comprehensive load and the required electric quantity into the electric loss assessment model together to obtain the comprehensive electric loss between the energy storage device and the electric equipment includes:
constructing a pre-evaluation period and a post-evaluation period within the monitoring period;
acquiring a front comprehensive load and a rear comprehensive load of the energy storage device and a front required electric quantity and a rear required electric quantity of the electric equipment in the front evaluation time period and the rear evaluation time period;
obtaining an evaluation function from the electric loss evaluation model;
and inputting the front comprehensive load, the rear comprehensive load, the front required electric quantity and the rear required electric quantity into an evaluation function together, and marking a calculation result as the comprehensive electric loss between the energy storage equipment and the electric equipment.
In a preferred embodiment, the step of constructing a period to be evaluated in the cycle period with the fluctuation node as an evaluation point includes:
acquiring all the fluctuation nodes in the cycle period;
calculating the occupation ratio of each fluctuation node one by one according to the sequencing result, and arranging the calculation results from large to small;
acquiring an allowable deviation time period, merging all the fluctuation nodes one by one according to an arrangement result in the allowable deviation time period, and marking the merged fluctuation nodes as evaluation points;
and constructing a plurality of time periods to be evaluated by taking the adjacent evaluation points as head and tail nodes.
In a preferred scheme, after the time periods to be evaluated are determined, whether the head nodes and the tail nodes of the adjacent time periods to be evaluated are connected or not is judged one by one;
if yes, continuously judging the adjacent time period to be evaluated of the next time;
if not, continuously judging whether a fluctuation node exists in the adjacent time period to be evaluated;
if the time interval exists, the fluctuation node is taken as a demarcation point and is respectively determined as a head node and a tail node of the adjacent time interval to be evaluated;
if not, the time interval is marked as a blank period, and the midpoint of the blank period is taken as the head node and the tail node of the adjacent time interval to be evaluated.
In a preferred embodiment, the step of obtaining the required electric quantity of each combination sample and synchronously matching a battery cluster combination meeting a power supply load includes:
acquiring the real-time electric quantity of each battery cluster, and arranging the electric quantities in a descending order;
selecting the battery clusters which meet the electric quantity required by the combined samples according to the arrangement sequence, calibrating the battery clusters as load battery clusters, and calibrating the rest battery clusters as idle battery clusters;
and charging the idle battery cluster, and acquiring the charged electric quantity of the idle battery cluster in real time.
In a preferred embodiment, the step of presetting a battery cluster discharge risk threshold and an allowable switching capacity according to the comprehensive electrical loss includes:
acquiring the comprehensive electric loss and the total amount of the battery clusters participating in operation in the monitoring period;
equally dividing the comprehensive electric loss into each battery cluster to obtain unit electric loss;
acquiring an overdischarge critical point of the battery cluster, and inputting the overdischarge critical point and the unit electric loss into a first preset function together to obtain a battery cluster discharge risk threshold;
and acquiring the maximum discharge rate of the battery cluster, and inputting the maximum discharge rate and the discharge risk threshold of the battery cluster into a second preset function together to obtain the allowable switching electric quantity.
In a preferred embodiment, the step of inputting the discharge risk threshold of the battery cluster, the allowable switching power, the real-time power of the loaded battery cluster, and the charged power of the idle battery cluster into the planning model together to perform switching between the loaded battery cluster and the idle battery cluster includes:
acquiring the real-time electric quantity of the load battery cluster, comparing the real-time electric quantity with the discharge risk threshold of the battery cluster, screening the load battery cluster lower than the discharge risk threshold, and calibrating the load battery cluster as a battery cluster to be switched;
acquiring the charged electric quantity of the idle battery cluster in real time, and comparing the charged electric quantity with the allowable switching electric quantity;
if the charged electric quantity of the idle battery cluster is less than the allowable switching electric quantity, continuing charging the idle battery cluster;
and if the charged electric quantity of the idle battery cluster is greater than or equal to the allowable switching electric quantity, replacing the battery cluster to be switched.
The invention also provides an energy management system based on industrial and commercial energy storage, which is applied to the energy management method based on industrial and commercial energy storage, and comprises the following steps:
the system comprises a first acquisition module, a second acquisition module and a control module, wherein the first acquisition module is used for acquiring power supply load information of energy storage equipment, the energy storage equipment comprises a plurality of battery clusters, and the energy storage equipment also corresponds to a plurality of electric equipment;
the electric loss evaluation module is used for constructing a monitoring time interval, acquiring the comprehensive load of the energy storage device and the required electric quantity of the electric equipment in the monitoring time interval, and inputting the comprehensive load and the required electric quantity into an electric loss evaluation model together to obtain the electric loss between the energy storage device and the electric equipment;
the second acquisition module is used for constructing a plurality of cycle periods in a monitoring period and acquiring a power supply load fluctuation value in the cycle periods;
the screening module is used for acquiring the allowable fluctuation value, comparing the allowable fluctuation value with the power supply load fluctuation value, and screening all the power supply load fluctuation values which are greater than or equal to the allowable fluctuation value and the corresponding fluctuation nodes;
the combination module is used for constructing time periods to be evaluated in the cycle period by taking the fluctuation nodes as evaluation points, and acquiring the combination quantity of the electric equipment in each time period to be evaluated to obtain a plurality of combination samples;
the classification module is used for acquiring the required electric quantity of each combined sample and synchronously matching a battery cluster combination meeting the power supply load to obtain a load battery cluster and an idle battery cluster;
the preset module is used for presetting a battery cluster discharge risk threshold and an allowable switching electric quantity according to the comprehensive electric loss;
and the battery cluster switching module is used for inputting the discharge risk threshold value of the battery cluster, the allowable switching electric quantity, the real-time electric quantity of the loaded battery cluster and the charged electric quantity of the idle battery cluster into the planning model together to switch the loaded battery cluster and the idle battery cluster.
In a preferred scheme, the emergency module is further configured to be enabled when the idle battery cluster cannot be switched with a loaded battery cluster, where the emergency module includes a plurality of backup battery clusters.
And, an energy management terminal based on industrial and commercial energy storage, includes:
at least one processor;
and a memory communicatively coupled to the at least one processor;
wherein the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to enable the at least one processor to perform the industrial and commercial energy storage based energy management method described above.
The invention has the technical effects that:
according to the invention, on the premise of ensuring that the battery cluster is not over-discharged, the switching between the idle battery cluster and the load battery cluster is realized, in the process, the existence of the electric loss is considered, the electric loss is added into the preset process of the discharge risk threshold value of the battery cluster and the allowable switching electric quantity, the situation that the electric equipment cannot normally run due to the influence of the electric loss is avoided, meanwhile, in the working process of the load battery cluster, the setting of the idle battery cluster can be supplemented, the use amount of the battery cluster can be reduced, the self-discharge of the idle battery cluster is reduced, the normal running of the electric equipment can be ensured while the energy is saved.
Drawings
FIG. 1 is a flow chart of a method provided by an embodiment of the present invention;
fig. 2 is a block diagram of a system provided by an embodiment of the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention more comprehensible, embodiments accompanying figures of the present invention are described in detail below.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways than those specifically described and will be readily apparent to those of ordinary skill in the art without departing from the spirit of the present invention, and therefore the present invention is not limited to the specific embodiments disclosed below.
Furthermore, the references herein to "one embodiment" or "an embodiment" refer to a particular feature, structure, or characteristic that may be included in at least one implementation of the present invention. The appearances of the phrase "in one preferred embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.
Referring to fig. 1 and fig. 2, the present invention provides an energy management method based on industrial and commercial energy storage, including:
the method includes the steps that S1, power supply load information of energy storage equipment is obtained, wherein the energy storage equipment comprises a plurality of battery clusters, and the energy storage equipment further corresponds to a plurality of electric equipment;
s2, establishing a monitoring time period, acquiring the comprehensive load of the energy storage equipment and the required electric quantity of the electric equipment in the monitoring time period, and inputting the comprehensive load and the required electric quantity into an electric loss evaluation model together to obtain the comprehensive electric loss between the energy storage equipment and the electric equipment;
s3, constructing a plurality of cycle periods in the monitoring period, and acquiring a power supply load fluctuation value in the cycle periods;
s4, obtaining the allowable fluctuation value, comparing the allowable fluctuation value with the power supply load fluctuation value, and screening out all power supply load fluctuation values which are greater than or equal to the allowable fluctuation value and corresponding fluctuation nodes;
s5, constructing time periods to be evaluated in a cycle period by taking the fluctuation nodes as evaluation points, and acquiring the combined quantity of the electric equipment in each time period to be evaluated to obtain a plurality of combined samples;
s6, acquiring the required electric quantity of each combined sample, and synchronously matching battery cluster combinations meeting the power supply load to obtain a load battery cluster and an idle battery cluster;
s7, presetting a battery cluster discharging risk threshold and an allowable switching electric quantity according to the comprehensive electric loss;
and S8, inputting the discharge risk threshold value of the battery cluster, the allowable switching electric quantity, the real-time electric quantity of the load battery cluster and the charged electric quantity of the idle battery cluster into a planning model together, and switching the load battery cluster and the idle battery cluster.
As described in the foregoing steps S1 to S8, the industrial and commercial energy storage is an industrial energy supply manner lower than the energy storage power station, energy management can be completed only by setting charging and discharging time, functional requirements are also lower than the energy storage power station, as large industrial users increase, the industrial and commercial energy storage mode is very close to the energy storage power station, obviously, further optimization is also needed in terms of energy management, this embodiment provides a method for managing the industrial and commercial energy storage, which first needs to obtain an energy supply manner of energy storage equipment in an industrial and commercial energy storage module, which generally consists of a plurality of battery clusters connected in series and in parallel, and performs matching use of the battery clusters according to the required electric quantity of electric equipment, the battery clusters in a load state are calibrated as a load battery cluster, the battery in an idle state are calibrated as an idle battery cluster, and the idle battery cluster can be safely charged, the method has the advantages that the battery cluster is prevented from being in the states of charging and discharging at the same time, the service life and the maintenance cycle of the battery cluster can be prolonged correspondingly, but the electric loss often exists between the electric equipment and the energy storage equipment, the occupation ratio of the electric loss is small, but the normal operation of the electric equipment is still influenced, on the basis of the situation, a monitoring time interval is established in the historical operation cycle of the energy storage equipment, the comprehensive electric loss of the electric equipment is evaluated through an electric loss evaluation model, the battery cluster discharging risk threshold value and the allowable switching electric quantity of the battery cluster can be calculated based on the comprehensive electric loss, the aim is to safely realize the switching between a load battery cluster and an idle battery cluster, an electric unit corresponding to industrial and commercial energy storage often has a fixed operation cycle, for example, six to eight points at night every day is an electric utilization peak period, the method comprises the steps that a relatively large number of load battery clusters and a relatively frequent switching between an idle battery cluster are located in a load state, a cycle period can be determined on the basis, then electric equipment which operates in different periods in the cycle period is marked as a plurality of combined samples, switching between the load battery cluster and the idle battery cluster is achieved according to the combined samples, the electric equipment is less used between zero and the beginning of the morning, at the moment, the number of required load battery clusters is relatively small, further, the electric quantity is sufficiently supplemented for the battery clusters, before the idle battery cluster and the load battery cluster are switched, unified planning needs to be conducted through a planning model, and the phenomenon that the battery clusters are over-discharged or the phenomenon that enough power is not sufficiently provided to support normal operation of the electric equipment after the idle battery cluster is connected to a circuit is avoided.
In a preferred embodiment, the step of inputting the comprehensive load and the required electric quantity into the electric loss evaluation model together to obtain the comprehensive electric loss between the energy storage device and the electric equipment includes:
s201, constructing a pre-evaluation time interval and a post-evaluation time interval in a monitoring time interval;
s202, acquiring a front comprehensive load and a rear comprehensive load of the energy storage device in a front evaluation time interval and a rear evaluation time interval, and a front required electric quantity and a rear required electric quantity of the electric equipment;
s203, obtaining an evaluation function from the electric loss evaluation model;
and S204, inputting the front comprehensive load, the rear comprehensive load, the front required electric quantity and the rear required electric quantity into an evaluation function together, and marking a calculation result as the comprehensive electric loss between the energy storage equipment and the electric equipment.
As described in the foregoing steps S201 to S204, the electrical loss refers to the loss of electric energy caused by the current doing other useless work, which is related to the length, resistance, and the like of the cable, in the industrial and commercial energy storage mode, due to the aging of the electric devices and the energy storage devices, the amount of electrical loss thereof is also increased in real time, and in order to ensure the normal operation of the electric devices, it is necessary to calculate the amount of electrical loss between the energy storage devices and the electric devices, and since the influence degree is small, it is only necessary to periodically update the value of the amount of electrical loss, wherein, the evaluation function for calculating the comprehensive amount of electrical loss is:
in, is greater than or equal to>
Represents the integrated electric loss quantity and is used for judging whether the electric loss quantity is greater than or equal to the preset value>
Indicates a pre-integrated load, <' > or>
Indicates a post-integrated load, < > or >>
Represents the previous demand charge and>
the method comprises the steps of representing the post-demand electric quantity, inevitably having the influence of some transient factors in the process of running of the electric equipment, such as maintenance of the equipment, newly adding or reducing of the equipment and the like, which can cause corresponding changes of the electric loss quantity, and based on the change, after determining maintenance nodes, newly adding or reducing nodes of the equipment, establishing a pre-evaluation period and a post-evaluation period by taking the nodes as dividing points, and taking the average value of the electric loss quantities of the pre-evaluation period and the post-evaluation period as a comprehensive electric loss quantity to reduce errors of a calculation result of the comprehensive electric loss quantity.
In a preferred embodiment, the step of constructing the period to be evaluated in the cycle period with the fluctuation node as the evaluation point includes:
s501, acquiring fluctuation nodes in all cycle periods;
s502, calculating the occupation ratio of each fluctuation node one by one according to the sorting result, and arranging the calculation results from large to small;
s503, obtaining an allowable deviation time period, combining all the fluctuation nodes one by one according to the arrangement result in the allowable deviation time period, and marking the combined fluctuation nodes as evaluation points;
s504, a plurality of time periods to be evaluated are constructed by taking the adjacent evaluation points as head and tail nodes.
As described in steps S501 to S504, in different periods of the cycle period, the number of the electric devices participating in the operation is also inconsistent, the power supply load of the energy storage device is adjusted correspondingly and generates large fluctuations in the state that the number of the electric devices changes, then the fluctuation node can be regarded as a node where the number of the electric devices participating in the operation changes, and then statistics is performed one by one on the time nodes generated by each fluctuation node in each cycle period.
In a preferred embodiment, after the time interval to be evaluated is determined, whether the head node and the tail node of the adjacent time interval to be evaluated are connected or not is judged one by one;
if yes, continuously judging the adjacent time period to be evaluated of the next time;
if not, continuously judging whether a fluctuation node exists in the adjacent time period to be evaluated;
if the time interval to be evaluated exists, the fluctuation node is taken as a demarcation point, and the fluctuation node is respectively determined as a head node and a tail node of the adjacent time interval to be evaluated;
if not, the time interval is marked as a blank period, and the midpoint of the blank period is used as a head node and a tail node of the adjacent time interval to be evaluated.
In the above, even though the data in the monitoring period is relatively sufficient, a fault phenomenon (the head node and the tail node of the adjacent to-be-evaluated periods are not connected) still exists in the process of merging the fluctuation nodes, which results in a blank period in the cycle period, and in order to avoid the occurrence of the phenomenon, and considering that the operation number of the electric equipment in the blank period is not controllable, the midpoint of the blank period is taken as a critical point and is respectively added into the adjacent to-be-evaluated periods, and as for the phenomenon that the fluctuation nodes exist between the adjacent to-be-evaluated periods, the fluctuation node can be directly determined as the head node and the tail node of the adjacent to-be-evaluated periods, so that a plurality of continuous to-be-evaluated periods can be set in the cycle period, and a manager can conveniently make different management schemes for the electric equipment and the energy storage equipment.
In a preferred embodiment, the step of obtaining the required power of each combined sample and synchronously matching the battery cluster combination meeting the power supply load includes:
s505, acquiring the real-time electric quantity of each battery cluster, and arranging the electric quantities in a descending order;
s506, selecting the battery clusters which meet the electric quantity required by the combined samples according to the arrangement sequence, calibrating the battery clusters as load battery clusters, and calibrating the rest battery clusters as idle battery clusters;
and S507, charging the idle battery cluster, and acquiring the charged electric quantity of the idle battery cluster in real time.
As described in the foregoing steps S505 to S507, when matching battery clusters, the real-time electric quantity of each battery cluster is obtained in advance, and the battery clusters are arranged in the order from large to small, after the required electric quantity of the electric equipment is determined, the battery clusters are enabled together in the order from large to small, the enabled battery clusters are marked as load battery clusters, the battery clusters that are not enabled are marked as idle battery clusters, and the idle battery clusters in a power-deficient state or a power-incomplete state are charged, so that it is ensured that the load battery clusters that do not meet the requirements can be replaced subsequently.
In a preferred embodiment, the step of presetting a battery cluster discharge risk threshold and an allowable switching capacity according to the integrated electric loss comprises:
s701, acquiring comprehensive electric loss and the total amount of the battery clusters participating in operation in a monitoring period;
s702, dividing the comprehensive electric loss into each battery cluster equally to obtain unit electric loss;
s703, acquiring an overdischarge critical point of the battery cluster, and inputting the overdischarge critical point and the unit electric loss into a first preset function together to obtain a battery cluster discharge risk threshold;
s704, obtaining the maximum discharge rate of the battery cluster, and inputting the maximum discharge rate and the discharge risk threshold of the battery cluster into a second preset function together to obtain the allowable switching electric quantity.
As described in the foregoing steps S701 to S704, in the industrial and commercial energy storage mode, the proportion of the electrical loss is about 1%, and then the error generated after sharing into each battery cluster is small, in this embodiment, the electrical loss is divided equally according to the number of the battery clusters, and then the divided electrical loss is input into the first preset function together with the overdischarge critical point of the battery cluster, so as to calculate the discharge risk threshold of the battery cluster; wherein the first predetermined function is:
in, is greater than or equal to>
Represents a battery cluster discharge risk threshold value->
Represents the number of cell clusters>
Indicates an overdischarge threshold point of a battery cluster>
Is a fixed factor, and->
The set of the battery cluster discharge risk threshold is calculated by combining the electricity loss, and the switching work is completed before the battery cluster over-discharge critical point is reached, so that the load battery cluster can be better protected, the discharge rates generated under the working state of the load battery cluster are inconsistent to meet different power supply requirements, and the battery cluster can be ensured to be capable of performing the switching workThe safe switching avoids the influence of instantaneous switching-in or switching-out of the circuit, and the embodiment sets the allowable switching electric quantity by taking the maximum discharge rate of the battery cluster as a reference, wherein a second preset function for calculating the allowable switching electric quantity is as follows: />
In, is greater than or equal to>
Indicating that the amount of power to be switched is allowed,
represents the maximum discharge rate of the battery cluster>
Indicates the discharge duration>
The value of (1) is a positive integer, the specific value needs to be set according to the specification of the battery cluster, and no detailed limitation is imposed here, based on this formula, after the power consumption of the load battery cluster reaches the battery cluster discharge risk threshold, the idle battery cluster which reaches the allowable switching power will be supplemented into the load battery cluster, and it needs to be explained here that the supplementing sequence of the idle battery cluster is sorted according to the priority of its own power, so that the supplemented load battery cluster can work for a long time.
In a preferred embodiment, the step of inputting the discharge risk threshold of the battery cluster, the allowable switching power, the real-time power of the loaded battery cluster and the charged power of the idle battery cluster into the planning model together to perform the switching between the loaded battery cluster and the idle battery cluster includes:
s801, acquiring real-time electric quantity of a load battery cluster, comparing the real-time electric quantity with a battery cluster discharge risk threshold, screening the load battery cluster lower than the discharge risk threshold, and calibrating the load battery cluster as a battery cluster to be switched;
s802, acquiring the charged electric quantity of the idle battery cluster in real time, and comparing the electric quantity with the allowable switching electric quantity;
s803, if the electric quantity of the idle battery cluster after charging is less than the allowable switching electric quantity, continuing charging the idle battery cluster;
and S804, if the electric quantity of the charged idle battery cluster is larger than or equal to the allowable switching electric quantity, replacing the battery cluster to be switched.
As described in the foregoing steps S801-S804, when the real-time electric quantity of the load cell cluster is lower than the discharge risk threshold, the load cell cluster is calibrated as a cell cluster to be switched, and then an idle cell cluster that is greater than or equal to the allowable switching electric quantity is connected to the working circuit, in this process, the idle cell cluster is disconnected after the access of the idle cell cluster is completed, which is set to prevent the operation of the electric equipment from fluctuating, and also ensure the safety of the switching process, and the discharge risk threshold of the cell cluster is higher than the overdischarge critical point of the cell cluster, so that in the switching process of the idle cell cluster and the load cell cluster, the load cell cluster does not overdischarge, thereby effectively protecting the safety of the load cell cluster, and also correspondingly prolonging the maintenance period of the energy storage device.
The invention also provides an energy management system based on industrial and commercial energy storage, which is applied to the energy management method based on industrial and commercial energy storage, and comprises the following steps:
the first acquisition module is used for acquiring power supply load information of the energy storage equipment, wherein the energy storage equipment comprises a plurality of battery clusters and corresponds to a plurality of electric equipment;
the power loss evaluation module is used for constructing a monitoring time period, acquiring the comprehensive load of the energy storage device and the required electric quantity of the electric equipment in the monitoring time period, and inputting the comprehensive load and the required electric quantity into the power loss evaluation model together to obtain the power loss between the energy storage device and the electric equipment;
the second acquisition module is used for constructing a plurality of cycle periods in the monitoring period and acquiring the power supply load fluctuation value in the cycle periods;
the screening module is used for acquiring the allowable fluctuation value, comparing the allowable fluctuation value with the power supply load fluctuation value, and screening all the power supply load fluctuation values which are greater than or equal to the allowable fluctuation value and the corresponding fluctuation nodes;
the combination module is used for constructing time periods to be evaluated in a cycle by taking the fluctuation nodes as evaluation points, and acquiring the combination quantity of the electric equipment in each time period to be evaluated to obtain a plurality of combination samples;
the classification module is used for acquiring the required electric quantity of each combined sample and synchronously matching a battery cluster combination meeting the power supply load to obtain a load battery cluster and an idle battery cluster;
the system comprises a presetting module, a switching module and a switching module, wherein the presetting module is used for presetting a battery cluster discharging risk threshold and allowable switching electric quantity according to the comprehensive electric loss;
and the battery cluster switching module is used for inputting the discharge risk threshold value of the battery cluster, the allowable switching electric quantity, the real-time electric quantity of the loaded battery cluster and the charged electric quantity of the idle battery cluster into the planning model together to switch the loaded battery cluster and the idle battery cluster.
In the embodiment, when energy management of the energy storage device is executed, firstly, power supply load information of the energy storage device and required electric quantity of the electrical equipment are acquired through a first acquisition module, in order to ensure that the electrical equipment can normally operate, the embodiment adopts an electric loss evaluation module to evaluate electric loss between the electrical equipment and the energy storage device, and avoids the electrical equipment from operating under the condition of insufficient power.
And secondly, the emergency module is used for starting when the idle battery cluster cannot be switched with the load battery cluster, wherein the emergency module comprises a plurality of standby battery clusters.
In the above, the spare battery cluster does not participate in switching between the idle battery cluster and the load battery cluster, and is started only when the idle battery cluster or the load battery cluster fails, so that normal operation of the electric equipment can be ensured, and meanwhile, maintenance personnel can also maintain the failed idle battery cluster or the load battery cluster.
And, an energy management terminal based on industrial and commercial energy storage, includes:
at least one processor;
and a memory communicatively coupled to the at least one processor;
the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor, so that the at least one processor can execute the energy management method based on industrial and commercial energy storage.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, apparatus, article, or method that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, apparatus, article, or method. Without further limitation, an element defined by the phrases "comprising a," "8230," "8230," or "comprising" does not exclude the presence of another identical element in a process, apparatus, article, or method comprising the element.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that those skilled in the art can make various improvements and modifications without departing from the principle of the present invention, and these improvements and modifications should also be construed as the protection scope of the present invention. Structures, devices, and methods of operation not specifically described or illustrated herein are generally practiced in the art without specific recitation or limitation.
Claims (10)
1. An energy management method based on industrial and commercial energy storage is characterized in that: the method comprises the following steps:
acquiring power supply load information of energy storage equipment, wherein the energy storage equipment comprises a plurality of battery clusters and corresponds to a plurality of electric equipment;
establishing a monitoring time interval, acquiring a comprehensive load of the energy storage equipment and a required electric quantity of the electric equipment in the monitoring time interval, and inputting the comprehensive load and the required electric quantity into an electric loss evaluation model together to obtain a comprehensive electric loss between the energy storage equipment and the electric equipment;
in a monitoring period, constructing a plurality of cycle periods, and acquiring a power supply load fluctuation value in the cycle period;
obtaining an allowable fluctuation value, comparing the allowable fluctuation value with a power supply load fluctuation value, and screening out all power supply load fluctuation values which are greater than or equal to the allowable fluctuation value and corresponding fluctuation nodes;
constructing time periods to be evaluated in the cycle period by taking the fluctuation nodes as evaluation points, and acquiring the combined quantity of the electric equipment in each time period to be evaluated to obtain a plurality of combined samples;
acquiring the required electric quantity of each combined sample, and synchronously matching battery cluster combinations meeting power supply loads to obtain a load battery cluster and an idle battery cluster;
presetting a battery cluster discharge risk threshold and allowable switching electric quantity according to the comprehensive electric loss;
and inputting the discharge risk threshold value of the battery cluster, the allowable switching electric quantity, the real-time electric quantity of the load battery cluster and the charged electric quantity of the idle battery cluster into a planning model together, and switching the load battery cluster and the idle battery cluster.
2. The industrial and commercial energy storage based energy management method according to claim 1, wherein: the step of inputting the comprehensive load and the required electric quantity into an electric loss evaluation model together to obtain the comprehensive electric loss between the energy storage equipment and the electric equipment comprises the following steps:
constructing a pre-evaluation period and a post-evaluation period within the monitoring period;
acquiring a front comprehensive load and a rear comprehensive load of the energy storage device and a front required electric quantity and a rear required electric quantity of the electric equipment in the front evaluation time period and the rear evaluation time period;
obtaining an evaluation function from the electric loss evaluation model;
and inputting the front comprehensive load, the rear comprehensive load, the front required electric quantity and the rear required electric quantity into an evaluation function together, and marking a calculation result as the comprehensive electric loss between the energy storage equipment and the electric equipment.
3. The industrial and commercial energy storage based energy management method according to claim 1, wherein: the step of constructing a time period to be evaluated in the cycle period by taking the fluctuation node as an evaluation point comprises the following steps:
acquiring all the fluctuation nodes in the cycle period;
calculating the ratio of each fluctuation node one by one according to the sorting result, and arranging the calculation results in a descending order;
acquiring an allowable deviation time period, merging all the fluctuation nodes one by one according to an arrangement result in the allowable deviation time period, and marking the merged fluctuation nodes as evaluation points;
and constructing a plurality of time periods to be evaluated by taking the adjacent evaluation points as head and tail nodes.
4. The industrial and commercial energy storage based energy management method according to claim 3, wherein: after the time periods to be evaluated are determined, judging whether the head nodes and the tail nodes of the adjacent time periods to be evaluated are connected one by one;
if yes, continuously judging the adjacent time period to be evaluated of the next time;
if not, continuously judging whether a fluctuation node exists in the adjacent time period to be evaluated;
if the time interval exists, the fluctuation node is taken as a demarcation point and is respectively determined as a head node and a tail node of the adjacent time interval to be evaluated;
if not, the time interval is marked as a blank period, and the midpoint of the blank period is taken as the head node and the tail node of the adjacent time interval to be evaluated.
5. The industrial and commercial energy storage based energy management method according to claim 1, wherein: the step of obtaining the required electric quantity of each combined sample and synchronously matching the battery cluster combination meeting the power supply load comprises the following steps:
acquiring the real-time electric quantity of each battery cluster, and arranging the electric quantities in a descending order;
selecting battery clusters which meet the electric quantity required by the combined samples according to the arrangement sequence, calibrating the battery clusters into load battery clusters, and calibrating the rest battery clusters into idle battery clusters;
and charging the idle battery cluster, and acquiring the charged electric quantity of the idle battery cluster in real time.
6. The industrial and commercial energy storage based energy management method according to claim 1, wherein: the step of presetting a battery cluster discharge risk threshold value and an allowable switching electric quantity according to the comprehensive electric loss comprises the following steps:
acquiring the comprehensive electric loss and the total amount of the battery clusters participating in operation in the monitoring period;
equally dividing the comprehensive electric loss into each battery cluster to obtain unit electric loss;
acquiring an overdischarge critical point of the battery cluster, and inputting the overdischarge critical point and the unit electric loss into a first preset function together to obtain a battery cluster discharge risk threshold;
and acquiring the maximum discharge rate of the battery cluster, and inputting the maximum discharge rate and the discharge risk threshold of the battery cluster into a second preset function together to obtain the allowable switching electric quantity.
7. The industrial and commercial energy storage based energy management method according to claim 1, wherein: the step of inputting the discharge risk threshold value of the battery cluster, the allowable switching electric quantity, the real-time electric quantity of the load battery cluster and the charged electric quantity of the idle battery cluster into the planning model together to switch the load battery cluster and the idle battery cluster comprises the following steps:
acquiring the real-time electric quantity of the load battery cluster, comparing the real-time electric quantity with the discharge risk threshold of the battery cluster, screening the load battery cluster lower than the discharge risk threshold, and calibrating the load battery cluster as a battery cluster to be switched;
acquiring the charged electric quantity of the idle battery cluster in real time, and comparing the charged electric quantity with the allowable switching electric quantity;
if the charged electric quantity of the idle battery cluster is less than the allowable switching electric quantity, continuing charging the idle battery cluster;
and if the charged electric quantity of the idle battery cluster is greater than or equal to the allowable switching electric quantity, replacing the battery cluster to be switched.
8. An energy management system based on industrial and commercial energy storage, which is applied to the energy management method based on industrial and commercial energy storage of any one of claims 1 to 7, and is characterized in that: the method comprises the following steps:
the first acquisition module is used for acquiring power supply load information of energy storage equipment, wherein the energy storage equipment comprises a plurality of battery clusters and corresponds to a plurality of electric equipment;
the power loss evaluation module is used for constructing a monitoring time period, acquiring the comprehensive load of the energy storage device and the required electric quantity of the electric equipment in the monitoring time period, and inputting the comprehensive load and the required electric quantity into a power loss evaluation model together to obtain the power loss between the energy storage device and the electric equipment;
the second acquisition module is used for constructing a plurality of cycle periods in a monitoring period and acquiring a power supply load fluctuation value in the cycle periods;
the screening module is used for acquiring the allowable fluctuation value, comparing the allowable fluctuation value with the power supply load fluctuation value, and screening all the power supply load fluctuation values which are greater than or equal to the allowable fluctuation value and the corresponding fluctuation nodes;
the combination module is used for constructing time periods to be evaluated in the cycle period by taking the fluctuation nodes as evaluation points, acquiring the combination quantity of the electric equipment in each time period to be evaluated and obtaining a plurality of combination samples;
the classification module is used for acquiring the required electric quantity of each combined sample and synchronously matching a battery cluster combination meeting the power supply load to obtain a load battery cluster and an idle battery cluster;
the preset module is used for presetting a battery cluster discharge risk threshold and an allowable switching electric quantity according to the comprehensive electric loss;
and the battery cluster switching module is used for inputting the discharge risk threshold value of the battery cluster, the allowable switching electric quantity, the real-time electric quantity of the loaded battery cluster and the charged electric quantity of the idle battery cluster into the planning model together to switch the loaded battery cluster and the idle battery cluster.
9. The industrial and commercial energy storage based energy management system according to claim 8, wherein: the emergency module is used for being started when the idle battery cluster cannot be switched with the load battery cluster, and comprises a plurality of standby battery clusters.
10. An energy management terminal based on industrial and commercial energy storage is characterized by comprising:
at least one processor;
and a memory communicatively coupled to the at least one processor;
wherein the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to enable the at least one processor to perform the method for energy management based on industrial and commercial energy storage according to any one of claims 1 to 7.
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