CN115954921B - Energy management system and method based on industrial and commercial energy storage - Google Patents
Energy management system and method based on industrial and commercial energy storage 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 and method based on industrial and commercial energy storage. According to the invention, on the premise of ensuring that the battery clusters are not excessively discharged, the switching between the idle battery clusters and the load battery clusters 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 clusters 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, the setting of the idle battery clusters can be supplemented in the working process of the load battery clusters, the consumption of the battery clusters can be reduced, the self-discharge of the battery clusters in the idle state is reduced, and the normal operation of the electric equipment can be ensured while the energy conservation is realized.
Description
Technical Field
The invention belongs to the technical field of energy management, and particularly relates to an energy management system and method based on industrial and commercial energy storage.
Background
Industrial and commercial energy storage is an industrialized energy supply mode lower than an energy storage power station, energy management can be completed only by setting charge and discharge time, functional requirements are lower than the energy storage power station, with the continuous increase of large industrial users, the industrial and commercial energy storage mode is extremely close to the energy storage power station, obviously, further optimization is required in the aspect of energy management, with the development of informatization technology, an energy management system for the industrial and commercial energy storage mode also occurs at the moment, and the purpose of the energy management system is to meet the requirements of power utilization users and reduce energy consumption in the power supply process.
The existing energy management system for industrial and commercial energy storage is mainly 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 power supply combination forms, so that the excessive number of battery clusters required in the energy storage module can cause energy waste, and as the operation period of the electric equipment and the energy storage module is prolonged, the electric loss generated between the electric equipment and the energy storage module can also influence the operation of the electric equipment, and when the idle battery clusters exist, the condition of insufficient energy supply of the energy storage module can also occur.
Disclosure of Invention
The invention aims to provide an energy management system and a management method thereof based on industrial and commercial energy storage, 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 overdischarged, thereby reducing the consumption of the battery cluster, reducing the battery cluster in an idle state and realizing the energy saving.
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;
constructing a monitoring period, acquiring the comprehensive load of the energy storage device and the required electric quantity of the electric equipment in the monitoring 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 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 larger than or equal to the allowable fluctuation value and corresponding fluctuation nodes;
constructing a period to be evaluated in the cycle period by taking the fluctuation node as an evaluation point, and acquiring the combined quantity of electric equipment in each 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 the power supply load 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 the battery cluster discharge risk threshold, 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 are input into a planning model together, and the switching of the load battery cluster and the idle battery cluster is carried out.
In a preferred embodiment, the step of inputting the integrated load and the required electric quantity into the electric loss evaluation model together to obtain an integrated 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 front comprehensive load and rear comprehensive load of the energy storage device, and front required electric quantity and rear required electric quantity of electric equipment in the front evaluation period and the rear evaluation period;
acquiring an evaluation function from the electrical 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, and calibrating a calculation result into the comprehensive electric loss between the energy storage equipment and the electric equipment.
In a preferred embodiment, the step of constructing the period to be evaluated in the cycle period with the fluctuation node as an evaluation point includes:
acquiring all 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 in a sequence from big to small;
acquiring an allowable deviation period, merging all fluctuation nodes one by one according to an arrangement result in the allowable deviation period, and calibrating 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 period to be evaluated is determined, whether the head nodes and the tail nodes of adjacent time periods to be evaluated are connected or not is judged one by one;
if yes, continuing to judge the adjacent period to be evaluated of the next bit;
if not, continuing to judge whether a fluctuation node exists in the adjacent period to be evaluated;
if the wave node exists, the wave node is taken as a demarcation point and is respectively determined to be a head node and a tail node of adjacent time periods to be evaluated;
if the period of the time interval is not available, the period of the time interval is marked as a blank period, and the midpoint of the blank period is taken as a head node and a tail node of the adjacent period to be evaluated.
In a preferred embodiment, the step of obtaining the required power of each combination sample and synchronously matching the battery cluster combinations meeting the power supply load includes:
acquiring the real-time electric quantity of each battery cluster, and arranging the battery clusters according to the sequence from big to small;
selecting battery clusters meeting the electric quantity required by the combined sample according to the arrangement sequence, marking the battery clusters as load battery clusters, and marking 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 power according to the integrated power loss includes:
acquiring the comprehensive electricity loss and the total quantity 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 electricity 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 battery cluster discharge risk threshold, the allowable switching power, the real-time power of the load battery cluster and the charged power of the idle battery cluster into the planning model together to perform switching between the load 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 a discharge risk threshold of the battery cluster, screening out the load battery cluster lower than the discharge risk threshold, and calibrating the load battery cluster as the 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 smaller than the allowable switching electric quantity, continuing to charge the idle battery cluster;
and if the charged electric quantity of the idle battery cluster is larger 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 power supply 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 power loss evaluation module is used for constructing a monitoring period, acquiring the comprehensive load of the energy storage device and the required electric quantity of the electric equipment in the monitoring 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 power supply load fluctuation values 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 out all power supply load fluctuation values which are larger than or equal to the allowable fluctuation value and corresponding fluctuation nodes;
the combination module is used for constructing a period to be evaluated in the cycle period by taking the fluctuation node as an evaluation point, and obtaining the combination quantity of electric equipment in each 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, synchronously matching battery cluster combinations meeting the power supply load, and obtaining a load battery cluster and an idle battery cluster;
the preset module is used for presetting a battery cluster discharge risk threshold and allowable switching electric quantity according to the comprehensive electric loss;
the battery cluster switching module is used for inputting the battery cluster discharge risk threshold, 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, and switching the load battery cluster and the idle battery cluster.
In a preferred scheme, the system further comprises an emergency module for enabling when the idle battery cluster cannot be switched with the load battery cluster, wherein the emergency module comprises a plurality of standby battery clusters.
And, an energy management terminal based on industrial and commercial energy storage, 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 energy management method based on industrial and commercial energy storage as described above.
The invention has the technical effects that:
according to the invention, on the premise of ensuring that the battery clusters are not excessively discharged, the switching between the idle battery clusters and the load battery clusters 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 clusters 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, the setting of the idle battery clusters can be supplemented in the working process of the load battery clusters, the consumption of the battery clusters can be reduced, the self-discharge of the battery clusters in the idle state is reduced, and the normal operation of the electric equipment can be ensured while the energy conservation is realized.
Drawings
FIG. 1 is a flow chart of a method provided by an embodiment of the present invention;
fig. 2 is a system block diagram provided by an embodiment of the present invention.
Detailed Description
In order that the above-recited objects, features and advantages of the present invention will become more readily apparent, a more particular description of the invention will be rendered by reference to specific embodiments thereof which are illustrated in the appended drawings.
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 other than those described herein, and persons skilled in the art will readily appreciate that the present invention is not limited to the specific embodiments disclosed below.
Further, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic can be included in at least one implementation of the 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 2, the present invention provides an energy management method based on industrial and commercial energy storage, including:
s1, 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;
s2, constructing a monitoring period, acquiring the comprehensive load of the energy storage device and the required electric quantity of the electric equipment in the monitoring 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 device and the electric equipment;
s3, constructing a plurality of cycle periods in a monitoring period, and acquiring a power supply load fluctuation value in the cycle period;
s4, acquiring 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 larger than or equal to the allowable fluctuation value and corresponding fluctuation nodes;
s5, constructing time periods to be evaluated in a circulation period by taking the fluctuation nodes as evaluation points, and acquiring the combined quantity of 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 discharge risk threshold and allowable switching electric quantity according to the comprehensive electric loss;
and S8, inputting the battery cluster discharge risk threshold, 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 above steps S1-S8, the industrial and commercial energy storage is an industrialized energy supply mode lower than the energy storage power station, the energy management can be completed only by setting the charge and discharge time, the functional requirement is lower than the energy storage power station, the industrial and commercial energy storage mode is extremely close to the energy storage power station along with the continuous increase of large industrial users, obviously, further optimization is also required in the aspect of energy management, the embodiment provides a method for managing the industrial and commercial energy storage, firstly, the energy supply mode of the energy storage equipment in the industrial and commercial energy storage module is required to be obtained, the energy supply mode is generally composed of a plurality of battery clusters through series and parallel connection, the battery clusters are matched and used according to the required electric quantity of electric equipment, the load state is calibrated as a load battery cluster, the idle state is calibrated as an idle battery cluster, and the idle battery cluster can be safely charged, the battery cluster is prevented from being in a state of charging and discharging simultaneously, so that the service life and maintenance period of the battery cluster can be correspondingly prolonged, but electric loss is often generated between electric equipment and energy storage equipment, the duty ratio of the electric loss is small, the normal operation of the electric equipment is still influenced, based on the method, a monitoring period is built in the historical operation period of the energy storage equipment, the comprehensive electric loss of the electric equipment is estimated through an electric loss estimation model, the battery cluster discharge 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 the load battery cluster and the idle battery cluster, the electric unit corresponding to industrial and commercial energy storage always has a fixed operation period, for example, six to eight points at night is an electric peak period, the load battery clusters in the load state are relatively more, and the switching between the idle battery clusters is relatively frequent, so that the cycle period can be determined based on the load battery clusters, then the electric equipment running at different time periods in the cycle period is marked as a plurality of combined samples, the switching between the load battery clusters and the idle battery clusters is realized according to the combined samples, the electric equipment is less in use from the zero point to the starting point in the morning, at the moment, the required load battery clusters are relatively less, and then the battery clusters are fully supplemented with electric quantity, and before the idle battery clusters and the load battery clusters are switched, unified planning is needed through a planning model, so that the phenomenon that the battery clusters are overdischarged is avoided, or the phenomenon that the idle battery clusters are insufficient to provide enough power to support the normal running of the electric equipment after being connected to a circuit is avoided.
In a preferred embodiment, the step of inputting the integrated load and the required electric quantity into the electric loss evaluation model together to obtain the integrated electric loss between the energy storage device and the electric equipment includes:
s201, constructing a front evaluation period and a rear evaluation period in the monitoring period;
s202, acquiring front comprehensive load and rear comprehensive load of energy storage equipment in a front evaluation period and a rear evaluation period, and front required electric quantity and rear required electric quantity of electric equipment;
s203, acquiring an evaluation function from the electrical loss evaluation model;
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, and calibrating a calculation result into the comprehensive electric loss between the energy storage equipment and the electric equipment.
As described in the above steps S201-S204, the electric loss refers to the electric energy loss caused by other idle work performed by the current, which is related to the length, resistance, etc. of the cable, and in the industrial and commercial energy storage mode, the electric loss is also increased in real time due to the aging of the electric equipment and the energy storage equipment, so that it is necessary to calculate the electric loss between the energy storage equipment and the electric equipment to ensure the normal operation of the electric equipment, and only the value of the electric loss needs to be updated periodically due to the small influence degree, wherein the evaluation function for calculating the comprehensive electric loss is as follows:
wherein->
Indicating the total loss of electricity, < >>
Representing the pre-load combined->
Indicating post-load general load->
Representing the pre-demand power, ">
The post-demand electric quantity is represented, and in the running process of the electric equipment, the influence of some transient factors, such as maintenance of the equipment, new or reduced equipment and the like, is inevitably caused, the electric loss quantity is correspondingly changed,based on the above, after determining maintenance nodes, newly added nodes or reduced nodes of the equipment, constructing a pre-evaluation period and a post-evaluation period by taking the nodes as demarcation points, taking the average value of the electric losses of the pre-evaluation period and the post-evaluation period as the comprehensive electric loss, and reducing the error of the calculation result of the comprehensive electric loss.
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, obtaining fluctuation nodes in all cycle periods;
s502, calculating the occupation ratio of each fluctuation node one by one according to the sequencing result, and arranging the calculation results in a sequence from large to small;
s503, acquiring an allowable deviation period, merging all fluctuation nodes one by one according to an arrangement result in the allowable deviation period, and calibrating the merged fluctuation nodes as evaluation points;
s504, constructing a plurality of time periods to be evaluated by taking adjacent evaluation points as head and tail nodes.
As described in the above steps S501-S504, in different periods of the cycle, the number of the operating electric devices is also inconsistent, in a state that the number of the electric devices changes, the power supply load of the energy storage device is correspondingly adjusted, and larger fluctuation is generated, so that the fluctuation node can be regarded as a node that changes the number of the operating electric devices, then the time nodes generated by each fluctuation node can be counted one by one in each cycle, and finally the summary comparison is performed.
In a preferred embodiment, after the time period to be evaluated is determined, whether the head nodes and the tail nodes of adjacent time periods to be evaluated are connected or not is judged one by one;
if yes, continuing to judge the adjacent period to be evaluated of the next bit;
if not, continuing to judge whether a fluctuation node exists in the adjacent period to be evaluated;
if the time interval exists, the fluctuation node is used as a demarcation point and is respectively determined to be the head and tail nodes of adjacent time intervals to be evaluated;
if the period is not existed, the period is marked as a blank period, and the midpoint of the blank period is used as the head and tail nodes of the adjacent period to be evaluated.
In the above, even if the data in the monitoring period is sufficient, a fault phenomenon (the head and tail nodes of adjacent periods to be evaluated are not connected) still exists in the process of merging the fluctuation nodes, so that a blank period can occur in the circulation period, in order to avoid the phenomenon, and in consideration of uncontrollable operation quantity of electric equipment in the blank period, the middle point of the blank period is taken as a critical point and is respectively added into the adjacent periods to be evaluated, and as for the phenomenon that the fluctuation nodes exist between the adjacent periods to be evaluated, the fluctuation nodes can be directly determined as the head and tail nodes of the adjacent periods to be evaluated, so that a plurality of continuous periods to be evaluated can be set in the circulation 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 combination sample and synchronously matching the battery cluster combinations meeting the power supply load includes:
s505, acquiring the real-time electric quantity of each battery cluster, and arranging the battery clusters according to the sequence from large to small;
s506, selecting battery clusters meeting the electric quantity required by the combined sample according to the arrangement sequence, marking the battery clusters as load battery clusters, and marking the rest battery clusters as idle battery clusters;
s507, charging the idle battery cluster, and acquiring the charged electric quantity of the idle battery cluster in real time.
As described in the above steps S505-S507, when the battery clusters are matched, the real-time electric quantity of each battery cluster is obtained in advance and arranged according to the order from large to small, after the electric quantity required by the electric equipment is determined, the electric quantity required by the electric equipment is started according to the order from large to small, the started battery clusters are marked as load battery clusters, the non-started battery clusters are marked as idle battery clusters, and the idle battery clusters in the power shortage state or the non-full state are charged, so that the load battery clusters which do not meet the requirement can be replaced.
In a preferred embodiment, the step of presetting the battery cluster discharge risk threshold and the allowable switching power according to the integrated power loss includes:
s701, acquiring comprehensive electricity loss, and monitoring total quantity of battery clusters which are involved in operation in a period;
s702, equally dividing the comprehensive electric loss into each battery cluster to obtain unit electric loss;
s703, acquiring an overdischarge critical point of a battery cluster, and inputting the overdischarge critical point and the unit electricity 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 steps S701-S704, in the industrial and commercial energy storage mode, the ratio of the electric loss is about 1%, and the generated error is smaller after sharing in each battery cluster, and in this embodiment, the electric loss is halved according to the number of the battery clusters, and then the electric loss is input into the first preset function together with the overdischarge critical point of the battery cluster to calculate the discharge risk threshold of the battery cluster; the first preset function is as follows:
wherein->
Representing a battery cluster discharge risk threshold,/->
Representing the number of clusters, +.>
Represents the overdischarge critical point of the battery cluster, +.>
Is a fixed coefficient, and->
And more than or equal to 1.5, because the setting of the battery cluster discharge risk threshold is calculated by combining the electric loss amount, and the switching work is completed before the battery cluster overdischarge critical point is reached, the load battery cluster can be better protected, the discharge rate generated under the working state of the load battery cluster is inconsistent in order to meet different power supply requirements, and the influence of an instantaneous access circuit or a disconnection circuit is avoided in order to ensure that the battery cluster can be safely switched, the allowable switching electric quantity is set by taking the maximum discharge rate of the battery cluster as a reference, and a second preset function for calculating the allowable switching electric quantity is as follows: />
Wherein->
Indicating the allowable switching power, ">
Represents the maximum discharge rate of the battery cluster, +.>
Indicates the discharge time length, +.>
The specific numerical value is required to be set according to the specification of the battery cluster, and the specific numerical value is not limited in detail, based on the formula, after the power consumption of the load battery cluster reaches the battery cluster discharge risk threshold, the idle battery cluster reaching the allowable switching power is fed into the load battery cluster, and the feeding sequence of the idle battery cluster is required to be subjected to priority sorting according to the power of the idle battery cluster, so that the fed load battery cluster can work for a long time.
In a preferred embodiment, the step of inputting the battery cluster discharge risk threshold, the allowable switching power, the real-time power of the load battery cluster and the charged power of the idle battery cluster into the planning model together to perform switching between the load battery cluster and the idle battery cluster includes:
s801, acquiring real-time electric quantity of a load battery cluster, comparing the electric quantity with a battery cluster discharge risk threshold, screening out 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 charged electric quantity of the idle battery cluster is smaller than the allowable switching electric quantity, the idle battery cluster is continuously charged;
s804, if the charged electric quantity of the 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 above steps S801-S804, the real-time electric quantity of the load battery cluster is calibrated as the battery cluster to be switched under the condition that the electric quantity is lower than the discharge risk threshold, and then the idle battery cluster larger than or equal to the allowable switching electric quantity is connected to the working circuit.
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 power supply system comprises a first acquisition module, a second acquisition module and a power supply 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 period, acquiring the comprehensive load of the energy storage device and the required electric quantity of the electric equipment in the monitoring period, and inputting the comprehensive load and the required electric quantity into the 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 the monitoring period and acquiring power supply load fluctuation values 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 out all power supply load fluctuation values which are larger than or equal to the allowable fluctuation value and corresponding fluctuation nodes;
the combination module is used for constructing a period to be evaluated in a cycle period by taking the fluctuation node as an evaluation point, and acquiring the combination quantity of electric equipment in each 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, synchronously matching the battery cluster combinations meeting the power supply load, and obtaining a load battery cluster and an idle battery cluster;
the preset module is used for presetting a battery cluster discharge risk threshold and allowable switching electric quantity according to the comprehensive electric loss;
the battery cluster switching module is used for inputting the battery cluster discharge risk threshold, 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, and switching the load battery cluster and the idle battery cluster.
In this embodiment, when energy management of the energy storage device is performed, power supply load information of the energy storage device and required electric quantity of the electric device are firstly required to be obtained through the first obtaining module, in order to ensure that the electric device can normally operate, the electric loss evaluation module is adopted to evaluate electric loss between the electric device and the energy storage device, operation of the electric device under the condition of insufficient power is avoided, because operation of the electric device has periodicity, a power supply load fluctuation value in a circulation period is firstly obtained through the second obtaining module, and then the periodic fluctuation of the electric device is evaluated by combining the screening module and the combining module, so that battery clusters required by the electric device in different periods can be obtained, then the battery clusters are classified by combining the classifying module, idle battery clusters and load battery clusters are obtained, in order to protect the operation safety of each battery cluster, and further meet the power requirement of the electric device, a battery cluster discharge risk threshold and an allowable switching electric quantity which can ensure the safe switching of the idle battery clusters and the load battery clusters are set through the preset module, and finally the switching of the idle battery clusters and the load battery clusters is realized through the battery cluster switching module, and based on this, the energy storage device and the electric device can be ensured to operate under the safe environment and the safe switching of the energy storage device and the energy storage device under the safe environment.
And secondly, the emergency module is used for being started 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 standby battery cluster does not participate in the 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 the normal operation of the electric equipment can be ensured, and the maintenance personnel can maintain the failed idle battery cluster or the load battery cluster.
And, an energy management terminal based on industrial and commercial energy storage, comprising:
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 phrase "comprising one … …" does not exclude the presence of other like elements in a process, apparatus, article or method that comprises the element.
The foregoing is merely a preferred embodiment of the present invention and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the present invention, which are intended to be comprehended within the scope of the present invention. Structures, devices and methods of operation not specifically described and illustrated herein, unless otherwise indicated and limited, are implemented according to conventional means in the art.
Claims (7)
1. An energy management method based on industrial and commercial energy storage is characterized in that: comprising 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;
constructing a monitoring period, acquiring the comprehensive load of the energy storage device and the required electric quantity of the electric equipment in the monitoring 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 device and the electric equipment;
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 in the monitoring period, and constructing the pre-evaluation period and the post-evaluation period by taking the maintenance node, the newly added node or the newly reduced node of the equipment as a demarcation point after determining the maintenance node, the newly added node or the newly reduced node of the equipment;
acquiring front comprehensive load and rear comprehensive load of the energy storage device, and front required electric quantity and rear required electric quantity of electric equipment in the front evaluation period and the rear evaluation period;
obtaining an evaluation function from the electrical loss evaluation model, wherein the evaluation function is as follows:
wherein Z is d Represents the comprehensive electric loss quantity f 1 Representing the pre-integrated load, f 2 Representing post-integrated load, x 1 Representing the pre-demand power, x 2 Representing the post-required electric quantity;
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 calibrating a calculation result into the 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 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 larger than or equal to the allowable fluctuation value and corresponding fluctuation nodes;
constructing a period to be evaluated in the cycle period by taking the fluctuation node as an evaluation point, and acquiring the combined quantity of electric equipment in each 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 the power supply load 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;
the step of presetting a battery cluster discharge risk threshold and allowable switching electric quantity according to the comprehensive electric loss comprises the following steps:
acquiring the comprehensive electricity loss and the total quantity 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 electricity loss into a first preset function together to obtain a battery cluster discharge risk threshold;
the maximum discharge rate of the battery cluster is obtained, and the maximum discharge rate and the discharge risk threshold of the battery cluster are input into a second preset function together to obtain allowable switching electric quantity;
the method comprises the steps of inputting a battery cluster discharge risk threshold, allowable switching electric quantity, real-time electric quantity of a load battery cluster and charged electric quantity of an idle battery cluster into a planning model together, and switching the load battery cluster and the idle battery cluster;
the step of inputting the battery cluster discharge risk threshold, 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 a discharge risk threshold of the battery cluster, screening out the load battery cluster lower than the discharge risk threshold, and calibrating the load battery cluster as the 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 smaller than the allowable switching electric quantity, continuing to charge the idle battery cluster;
and if the charged electric quantity of the idle battery cluster is larger than or equal to the allowable switching electric quantity, replacing the battery cluster to be switched.
2. The energy management method based on industrial and commercial energy storage according to claim 1, wherein the energy management method comprises the following steps: the step of constructing a period to be evaluated in the cycle period by taking the fluctuation node as an evaluation point comprises the following steps:
acquiring all 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 in a sequence from big to small;
acquiring an allowable deviation period, merging all fluctuation nodes one by one according to an arrangement result in the allowable deviation period, and calibrating 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.
3. The energy management method based on industrial and commercial energy storage according to claim 2, wherein the energy management method comprises the following steps: after the time period to be evaluated is determined, judging whether the head nodes and the tail nodes of adjacent time periods to be evaluated are connected one by one;
if yes, continuing to judge the adjacent period to be evaluated of the next bit;
if not, continuing to judge whether a fluctuation node exists in the adjacent period to be evaluated;
if the wave node exists, the wave node is taken as a demarcation point and is respectively determined to be a head node and a tail node of adjacent time periods to be evaluated;
if the period of the time interval is not available, the period of the time interval is marked as a blank period, and the midpoint of the blank period is taken as a head node and a tail node of the adjacent period to be evaluated.
4. The energy management method based on industrial and commercial energy storage according to claim 1, wherein the energy management method comprises the following steps: the step of obtaining the required electric quantity of each combined sample and synchronously matching out 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 battery clusters according to the sequence from big to small;
selecting battery clusters meeting the electric quantity required by the combined sample according to the arrangement sequence, marking the battery clusters as load battery clusters, and marking 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.
5. 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 as set forth in any one of claims 1 to 4, and is characterized in that: comprising the following steps:
the power supply 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 power loss evaluation module is used for constructing a monitoring period, acquiring the comprehensive load of the energy storage device and the required electric quantity of the electric equipment in the monitoring 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 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 in the monitoring period, and constructing the pre-evaluation period and the post-evaluation period by taking the maintenance node, the newly added node or the newly reduced node of the equipment as a demarcation point after determining the maintenance node, the newly added node or the newly reduced node of the equipment;
acquiring front comprehensive load and rear comprehensive load of the energy storage device, and front required electric quantity and rear required electric quantity of electric equipment in the front evaluation period and the rear evaluation period;
obtaining an evaluation function from the electrical loss evaluation model, wherein the evaluation function is as follows:
wherein Z is d Represents the comprehensive electric loss quantity f 1 Representing the pre-integrated load, f 2 The post-load-total load is indicated,x 1 representing the pre-demand power, x 2 Representing the post-required electric quantity;
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 calibrating a calculation result into the comprehensive electric loss between the energy storage equipment and the electric equipment;
the second acquisition module is used for constructing a plurality of cycle periods in the monitoring period and acquiring power supply load fluctuation values 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 out all power supply load fluctuation values which are larger than or equal to the allowable fluctuation value and corresponding fluctuation nodes;
the combination module is used for constructing a period to be evaluated in the cycle period by taking the fluctuation node as an evaluation point, and obtaining the combination quantity of electric equipment in each 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, synchronously matching battery cluster combinations meeting the power supply load, and obtaining a load battery cluster and an idle battery cluster;
the preset module is used for presetting a battery cluster discharge risk threshold and allowable switching electric quantity according to the comprehensive electric loss;
the step of presetting a battery cluster discharge risk threshold and allowable switching electric quantity according to the comprehensive electric loss comprises the following steps:
acquiring the comprehensive electricity loss and the total quantity 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 electricity loss into a first preset function together to obtain a battery cluster discharge risk threshold;
the maximum discharge rate of the battery cluster is obtained, and the maximum discharge rate and the discharge risk threshold of the battery cluster are input into a second preset function together to obtain allowable switching electric quantity;
the battery cluster switching module is used for inputting a battery cluster discharge risk threshold, an allowable switching electric quantity, a real-time electric quantity of the load battery cluster and a charged electric quantity of the idle battery cluster into the planning model together to switch the load battery cluster and the idle battery cluster;
the step of inputting the battery cluster discharge risk threshold, 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 a discharge risk threshold of the battery cluster, screening out the load battery cluster lower than the discharge risk threshold, and calibrating the load battery cluster as the 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 smaller than the allowable switching electric quantity, continuing to charge the idle battery cluster;
and if the charged electric quantity of the idle battery cluster is larger than or equal to the allowable switching electric quantity, replacing the battery cluster to be switched.
6. The energy management system based on industrial and commercial energy storage of claim 5, wherein: the emergency module is used for being started when the idle battery cluster cannot be switched with the load battery cluster, and the emergency module comprises a plurality of standby battery clusters.
7. An energy management terminal based on industrial and commercial energy storage, which is characterized in that: comprising the following steps:
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 to enable the at least one processor to perform the industrial and commercial energy storage-based energy management method of any one of claims 1 to 4.
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