CN116683485A - Scheduling method and device of cluster energy storage system, electronic equipment and storage medium - Google Patents
Scheduling method and device of cluster energy storage system, electronic equipment and storage medium Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
- H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
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Abstract
The application provides a scheduling method and device of a cluster energy storage system, electronic equipment and a storage medium. The cluster energy storage system at least comprises a plurality of inverters for controlling charging and discharging; the method comprises the following steps: acquiring a target energy scheduling instruction; the target energy scheduling instruction at least comprises: energy scheduling type and energy scheduling power value; the target energy scheduling instruction corresponds to a discharging scheduling instruction or a charging scheduling instruction; determining a target inverter group according to the energy scheduling instruction; determining the distribution coefficient of each inverter according to the residual electric quantity SOC of each inverter in the target inverter group; determining power to be scheduled of each inverter according to the distribution coefficient of each inverter and the energy scheduling power value; and generating control instructions corresponding to the inverters according to the power to be scheduled of the inverters so as to control the running states of the corresponding inverters according to the control instructions of the inverters. The application can adjust the running state of the inverters according to the output of each inverter of the cluster energy storage system, and realize balanced control.
Description
Technical Field
The present application relates to the field of power technologies, and in particular, to a method and apparatus for power scheduling of a cluster energy storage device, an electronic device, and a storage medium.
Background
With the support of national new energy policies, more and more large photovoltaic power stations/large energy storage systems are built in various places. Often, station control equipment in a large and medium power station needs to perform power scheduling on a plurality of inverters at the same time, and power scheduling and calculation of power values to be scheduled are performed automatically according to the states of the inverters of the clusters.
In the process of implementing the embodiment of the application, the prior art is found to have at least the following problems: the common power dispatching method of the cluster inverters in the market is a uniform distribution mode, namely the system uniformly distributes active power and reactive power according to the number of the current cluster mounted inverters, and the possible result is that partial inverters can not release full power due to uneven electric quantity of each inverter.
Disclosure of Invention
The embodiment of the application provides a dispatching method, a dispatching device, electronic equipment and a storage medium of a cluster energy storage system, which are used for solving the problem that the active power and reactive power are averagely distributed in the cluster energy storage system, and a part of inverters cannot release full-power.
In a first aspect, an embodiment of the present application provides a method for scheduling a clustered energy storage system, where the clustered energy storage system at least includes a plurality of inverters for controlling charging and discharging; the method comprises the following steps:
acquiring a target energy scheduling instruction; the target energy scheduling instruction at least comprises: energy scheduling type and energy scheduling power value; the energy scheduling types comprise discharge scheduling and charge scheduling; the target energy scheduling instruction corresponds to a discharging scheduling instruction or a charging scheduling instruction;
determining a target inverter group according to the energy scheduling instruction;
determining an allocation coefficient of each inverter according to the residual capacity (State of Charge, SOC) of each inverter in the target inverter group;
determining power to be scheduled of each inverter according to the distribution coefficient of each inverter and the energy scheduling power value;
and generating control instructions corresponding to the inverters according to the power to be scheduled of the inverters so as to control the running states of the corresponding inverters according to the control instructions of the inverters.
In one possible implementation manner, the generating the control instruction corresponding to each inverter according to the power to be scheduled of each inverter includes:
generating a maximum power operation instruction when the power to be scheduled is larger than the maximum power of the corresponding inverter;
Generating a minimum power operation instruction when the power to be scheduled is smaller than the minimum power of the corresponding inverter;
otherwise, generating an intermediate power operation instruction according to the power to be scheduled;
wherein, the power running instruction types include: a power output command corresponding to the discharge schedule command, and a power input command corresponding to the charge schedule command.
In one possible implementation manner, after the control instruction corresponding to each inverter is generated according to the power to be scheduled of each inverter, the method further includes:
marking the state of the inverter with the power to be scheduled being greater than the maximum power as an incomplete allocation state, and determining additional scheduling power according to the power to be scheduled and the maximum power of the corresponding inverter;
marking the state of the inverter with power to be scheduled smaller than the maximum power as the completed distribution state;
updating the target inverter group according to the inverters in each incomplete allocation state, and updating the energy scheduling power value according to the sum of the additional scheduling power of the inverters in each incomplete allocation state;
and repeatedly executing the steps of determining the distribution coefficient of each inverter and the following steps according to the SOC information of each inverter in the target inverter group, and stopping repeatedly executing the operation when the sum of the additional dispatching powers is zero.
In one possible implementation manner, the determining the distribution coefficient of each inverter according to each inverter SOC in the target inverter group includes:
when the target energy scheduling instruction corresponds to a discharge scheduling instruction, determining the distribution coefficient of each inverter based on the following relation;
when the target energy scheduling instruction corresponds to a charging scheduling instruction, determining the distribution coefficient of each inverter based on the following relation;
the inverters [1] to [ N ] are the ith inverter in the target inverter group; i=1 to N; n is a variable and is an integer.
In one possible implementation manner, the determining the target inverter group according to the energy scheduling instruction includes:
analyzing the target energy scheduling instruction to determine a corresponding energy scheduling type;
determining corresponding inverter filtering and screening conditions according to the energy scheduling type;
and determining the inverters filtered according to the inverter filtering and screening conditions as target inverter groups.
In a possible implementation manner, the determining the corresponding filtering and screening condition according to the energy scheduling type includes:
when the energy scheduling type is discharge scheduling, the corresponding inverter filtering and screening conditions comprise:
The current SOC of the inverter is smaller than the discharge stopping SOC, and the state of the inverter is a state allowing power distribution; or the current SOC of the inverter is smaller than the recovery discharge SOC and the inverter state is a state of stopping distributing power; wherein the recovery discharge SOC is less than or equal to the stop discharge SOC;
when the energy scheduling type is charging scheduling, the corresponding inverter filtering and screening conditions comprise:
the current SOC of the inverter is greater than the state of stopping charging SOC and the state of the inverter is a state allowing power distribution, or the current SOC of the inverter is greater than the state of recovering charging SOC and the state of the inverter is a state of stopping power distribution; wherein the recovered charge SOC is less than or equal to the stopped charge SOC.
In one possible implementation, the method further includes:
marking the inverter state as a state allowing power to be distributed when the inverter is in normal operation;
when the inverter is in a shutdown and/or fault state, the inverter state is marked as a state in which power distribution is stopped.
In a second aspect, an embodiment of the present application provides a scheduling apparatus for a cluster energy storage system, including:
the acquisition module is used for acquiring the target energy scheduling instruction;
the determining module is used for determining a target inverter group according to the energy scheduling instruction; the target energy scheduling instruction at least comprises: energy scheduling type and energy scheduling power value; the energy scheduling types comprise discharge scheduling and charge scheduling; the target energy scheduling instruction corresponds to a discharging scheduling instruction or a charging scheduling instruction;
Determining the distribution coefficient of each inverter according to the SOC information of each inverter in the target inverter group, and determining the power to be scheduled of each inverter according to the distribution coefficient of each inverter and the energy scheduling power value;
the generation module is used for generating control instructions corresponding to the inverters according to the power to be scheduled of the inverters so as to control the inverters to operate according to the control instructions of the inverters.
In one possible implementation manner, the generating module is specifically configured to:
generating a maximum power operation instruction when the power to be scheduled is larger than the maximum power of the corresponding inverter;
generating a minimum power operation instruction when the power to be scheduled is smaller than the minimum power of the corresponding inverter;
otherwise, generating an intermediate power operation instruction according to the power to be scheduled;
wherein, the power running instruction types include: a power output command corresponding to the discharge schedule command, and a power input command corresponding to the charge schedule command.
In one possible implementation manner, the determining module is further configured to mark a state of an inverter with a power to be scheduled greater than the maximum power as an incomplete allocation state after the control command corresponding to each inverter is generated according to the power to be scheduled of each inverter, and determine an additional scheduling power according to the power to be scheduled and the maximum power of the corresponding inverter;
Marking the state of the inverter with power to be scheduled smaller than the maximum power as the completed distribution state;
updating the target inverter group according to the inverters in each incomplete allocation state, and updating the energy scheduling power value according to the sum of the additional scheduling power of the inverters in each incomplete allocation state;
and repeatedly executing the steps of determining the distribution coefficient of each inverter and the following steps according to the SOC information of each inverter in the target inverter group, and stopping repeatedly executing the operation when the sum of the additional dispatching powers is zero.
In one possible implementation manner, the determining module is specifically configured to:
when the target energy scheduling instruction corresponds to a discharge scheduling instruction, determining the distribution coefficient of each inverter based on the following relation;
when the target energy scheduling instruction corresponds to a charging scheduling instruction, determining the distribution coefficient of each inverter based on the following relation;
the inverters [1] to [ N ] are the ith inverter in the target inverter group; i=1 to N; n is a variable and is an integer.
In one possible implementation manner, the determining module is specifically configured to:
analyzing the target energy scheduling instruction to determine a corresponding energy scheduling type;
Determining corresponding inverter filtering and screening conditions according to the energy scheduling type;
and determining the inverters filtered according to the inverter filtering and screening conditions as target inverter groups.
In one possible implementation manner, the determining module is specifically configured to:
when the energy scheduling type is discharge scheduling, the corresponding inverter filtering and screening conditions comprise:
the current SOC of the inverter is smaller than the discharge stopping SOC, and the state of the inverter is a state allowing power distribution; or the current SOC of the inverter is smaller than the recovery discharge SOC and the inverter state is a state of stopping distributing power; wherein the recovery discharge SOC is less than or equal to the stop discharge SOC;
when the energy scheduling type is charging scheduling, the corresponding inverter filtering and screening conditions comprise:
the current SOC of the inverter is greater than the state of stopping charging SOC and the state of the inverter is a state allowing power distribution, or the current SOC of the inverter is greater than the state of recovering charging SOC and the state of the inverter is a state of stopping power distribution; wherein the recovered charge SOC is less than or equal to the stopped charge SOC.
In one possible implementation manner, the determining module is further configured to:
marking the inverter state as a state allowing power to be distributed when the inverter is in normal operation;
When the inverter is in a shutdown and/or fault state, the inverter state is marked as a state in which power distribution is stopped.
In a third aspect, an embodiment of the present application provides an electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the method according to the first aspect or any one of the possible implementations of the first aspect, when the computer program is executed by the processor.
In a fourth aspect, embodiments of the present application provide a computer readable storage medium storing a computer program which, when executed by a processor, implements the steps of the method as described above in the first aspect or any one of the possible implementations of the first aspect.
The embodiment of the application provides a dispatching method, a dispatching device, electronic equipment and a storage medium of a cluster energy storage system. And determining power to be scheduled of each inverter according to the distribution coefficient of each inverter and the energy scheduling power value, correspondingly generating a control instruction of each inverter, realizing non-uniform control of power of each inverter, ensuring that working power of each inverter in a target inverter group is matched with the state of each inverter, and realizing uniform control of each inverter as a whole.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments or the description of the prior art will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is an application scenario diagram of a scheduling method of a clustered energy storage system according to an embodiment of the present application;
FIG. 2 is a flowchart illustrating a method for scheduling a clustered energy storage system according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of a scheduling apparatus of a cluster energy storage system according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth such as the particular system architecture, techniques, etc., in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
The terms first, second and the like in the description and in the claims of embodiments of the application and in the above-described figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate in order to describe embodiments of the application herein. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion.
The term "plurality" means two or more, unless otherwise indicated. The character "/" indicates that the front and rear objects are an "or" relationship. For example, A/B represents: a or B. The term "and/or" is an associative relationship that describes an object, meaning that there may be three relationships. For example, a and/or B, represent: a or B, or, A and B.
The terminology used in the present application is used for the purpose of describing embodiments only and is not intended to limit the claims. As used in the description of the embodiments and the claims, the singular forms "a," "an," and "the" (the) are intended to include the plural forms as well, unless the context clearly indicates otherwise. Similarly, the term "and/or" as used in this disclosure is meant to encompass any and all possible combinations of one or more of the associated listed. Furthermore, when used in the present disclosure, the terms "comprises," "comprising," and/or variations thereof, mean that the recited features, integers, steps, operations, elements, and/or components are present, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. Without further limitation, an element defined by the phrase "comprising one …" does not exclude the presence of other like elements in a process, method or apparatus comprising such elements.
In the present application, each embodiment is mainly described and may be different from other embodiments, and the same similar parts between the embodiments may be referred to each other. For the methods, products, etc. disclosed in the embodiments, if they correspond to the method sections disclosed in the embodiments, the description of the method sections may be referred to for relevance.
In the cluster energy storage system in the current market, the inverter can be controlled only by the station control equipment, which means that a user needs to write own software in the station control equipment or manually issue a power scheduling command, and the speed of the mode greatly depends on the reporting period time of the monitoring equipment to the inverter data.
Fig. 1 is an application scenario diagram of a scheduling method of a cluster energy storage system according to an embodiment of the present application. As shown in fig. 1, the cluster energy storage system includes a plurality of inverters, a data collector, and a station control device; the station control equipment is in communication connection with external electric equipment to acquire electricity consumption requirements and is used for overall management of the cluster energy storage system; the data acquisition device is respectively connected with the plurality of inverters and the station control equipment and is used for controlling the plurality of inverters and dispatching energy sources.
Because the demand of group control (1 for controlling N) is increased and the real-time demand of the power scheduling command is issued, the embodiment of the application uses the data collector to control and calculate the power scheduling, and the time for reporting the real-time data north can be saved in speed. The data collector can automatically perform power scheduling and numerical calculation according to the state of the clustered inverters.
Based on the cluster energy storage system provided in fig. 1, the application provides a scheduling method of the cluster energy storage system, which comprises the following steps: the station control equipment transmits an active power or reactive power scheduling total value to the data collector through the north application or the platform, and the data collector can dynamically adjust the active power and the reactive power of each inverter based on the real-time SOC value of the current clustered inverter, so that the system can perform power scheduling in an equalizing mode. The method provided by the embodiment of the application can realize the power scheduling of the inverter with 1 to N, and meanwhile, the whole power scheduling can be more balanced on the distribution rule by referring to the real-time value of the SOC of the inverter.
In other embodiments, the station control device dynamically adjusts the active power and the reactive power of each inverter based on the real-time SOC value of the current cluster inverter, and the data collector collects and reports the inverter data, which can also improve the overall power scheduling balance.
For the purpose of making the objects, technical solutions and advantages of the present application more apparent, the following description will be made by way of specific embodiments with reference to the accompanying drawings.
Fig. 1 is a flowchart of a method for implementing a scheduling method of a cluster energy storage system according to an embodiment of the present application, as shown in fig. 1, where the method includes the following steps:
S101, acquiring a target energy scheduling instruction; the target energy scheduling instruction at least comprises: energy scheduling type and energy scheduling power value; the energy scheduling types comprise discharging scheduling and charging scheduling; the target energy scheduling instruction corresponds to a discharging scheduling instruction or a charging scheduling instruction.
The method provided by the embodiment of the application can be executed by the station control equipment or the data collector. Preferably, the method is executed by the data collector, so that the time for reporting real-time data north can be saved.
The target energy scheduling instruction is generated by the station control equipment based on the energy supply or electricity utilization requirements of the cluster energy storage system external equipment. Specifically, when energy supply demands are made on external equipment of the cluster energy storage system, such as photovoltaic power generation equipment, wind power generation equipment and the like, a station control equipment side generates a charging scheduling instruction corresponding to the energy supply demands of the external equipment so as to schedule a relevant inverter to execute energy supply absorption of the external equipment; when the power demand is applied to the equipment outside the cluster energy storage system, the station control equipment side generates a discharge scheduling instruction corresponding to the power demand of the equipment outside so as to schedule the relevant inverter to execute discharge energy supply to the equipment outside.
In addition, the energy scheduling power value is a power supply value or a power consumption value of the external device.
S102, determining a target inverter group according to the energy scheduling instruction.
In a specific implementation process, the inverters in the cluster energy storage system are respectively used for executing charging and discharging, so that when the inverters are controlled based on the latest received energy scheduling instruction, the inverters need to be integrally configured, namely, when the state of the inverters meets the energy scheduling instruction requirement, the inverters are added into corresponding energy allocation control to form a target inverter group.
First, the inverter in the target inverter group is an inverter in a normal operation state, excluding an abnormal device. And secondly, when the energy scheduling instruction is a discharge scheduling instruction, the inverter SOC in the target inverter group is in a safe discharge range, so that overdischarge is avoided. When the energy scheduling instruction is a charging scheduling instruction, the inverter SOC in the target inverter group is in a safe charging range, so that overcharge is avoided.
The method comprises the steps of determining a target inverter group according to an energy scheduling instruction, ensuring that inverters in the target inverter group are in a safe running state and meeting stable running in the process of executing the energy scheduling instruction.
S103, determining the distribution coefficient of each inverter according to each inverter SOC in the target inverter group.
Since each inverter may be used to execute a discharge schedule instruction or a charge schedule instruction, respectively, and the inverters may be grouped differently when the discharge schedule instruction is executed, there may be a difference in each inverter SOC. When there is a difference in the SOCs of the inverters in the group, the charging and discharging capacities of the inverters may be different, for example: the discharge rate decreases when the inverter SOC is smaller than a set value, and the charge rate decreases when the inverter SOC is larger than another set value.
After the target inverter group is determined, when each inverter in the target inverter group executes a target energy scheduling instruction, the different output capacities of the inverters exist due to the SOC. For example: when the target inverter group includes an inverter 1 with an inverter SOC of 60% and an inverter 2 with an inverter SOC of 30% and is used for discharging to supply power to external devices, if a power sharing mode is adopted, the discharging rate of the inverter 1 is fast, the discharging action is stopped when the discharging amount of the inverter 1 reaches the sharing power value, the inverter 2 is still in the discharging process, so that the working time of the target inverter group is prolonged, and in addition, the inverter 2 may also generate low-battery protection when the discharging amount does not reach the sharing power value.
After the target inverter grouping is completed, the distribution coefficient of each inverter is determined according to the SOC of each inverter in the target inverter grouping, and each inverter is controlled according to the distribution coefficient, so that the situation that part of the inverters in the target inverter grouping exit in advance when the energy scheduling instruction is executed can be avoided, and the state balance of each inverter in the grouping when the energy scheduling instruction is executed can be ensured.
S104, determining power to be scheduled of each inverter according to the distribution coefficient of each inverter and the energy scheduling power value.
And determining power to be scheduled of each inverter according to the distribution coefficient of each inverter and the energy scheduling power value, wherein the power to be scheduled of each inverter is aimed at completing distribution of the energy scheduling power value so as to ensure that the states of the inverters are consistent when the power to be scheduled is consumed.
S105, generating control instructions corresponding to the inverters according to the power to be scheduled of the inverters so as to control the running states of the corresponding inverters according to the control instructions of the inverters.
The corresponding inverter is provided with a minimum charge power, a minimum discharge power, a maximum charge power, and a maximum discharge power. When the running states of the corresponding inverters are controlled according to the control instructions of the inverters, the running power of the inverters can be specifically controlled, so that the safe running of the inverters is ensured.
In the embodiment of the application, the corresponding target inverter group is determined according to the energy scheduling instruction type, the output capacity of each inverter is distinguished based on each inverter SOC in the target inverter group, and the distribution coefficient is assigned. And determining power to be scheduled of each inverter according to the distribution coefficient of each inverter and the energy scheduling power value, correspondingly generating a control instruction of each inverter, realizing non-uniform control of power of each inverter, ensuring that working power of each inverter in a target inverter group is matched with the state of each inverter, and realizing uniform control of each inverter as a whole.
In a possible implementation manner, the generating, in step S105, a control instruction corresponding to each inverter according to the power to be scheduled of each inverter includes:
generating a maximum power operation instruction when the power to be scheduled is larger than the maximum power of the corresponding inverter;
generating a minimum power operation instruction when the power to be scheduled is smaller than the minimum power of the corresponding inverter;
otherwise, generating an intermediate power operation instruction according to the power to be scheduled;
wherein, the power running instruction types include: a power output command corresponding to the discharge schedule command, and a power input command corresponding to the charge schedule command.
In a specific implementation process, the corresponding inverter is provided with a minimum charging power, a minimum discharging power, a maximum charging power and a maximum discharging power.
When the target energy scheduling instruction is a discharge scheduling instruction, generating a power output instruction of each inverter in the corresponding target inverter group in response to the discharge scheduling instruction in step S105; when the target energy scheduling instruction is a charging scheduling instruction, a power input instruction corresponding to each inverter in the target inverter group is generated in response to the charging scheduling instruction in step S105.
Correspondingly, when the power to be scheduled is larger than the maximum input power of the corresponding inverter, generating a maximum power input instruction, and controlling the corresponding inverter to charge with the maximum input power; when the power to be scheduled is smaller than the minimum input power of the corresponding inverter, generating a minimum power input instruction, and controlling the corresponding inverter to charge with the minimum input power; otherwise, generating an intermediate power operation instruction according to the power to be scheduled, and controlling the corresponding inverter to charge with the power to be scheduled.
Similarly, when the power to be scheduled is larger than the maximum output power of the corresponding inverter, generating a maximum power output instruction, and controlling the corresponding inverter to discharge at the maximum output power; when the power to be scheduled is smaller than the minimum output power of the corresponding inverter, generating a minimum power output instruction, and controlling the corresponding inverter to discharge at the minimum output power; otherwise, generating an intermediate power operation instruction according to the power to be scheduled, and controlling the corresponding inverter to discharge with the power to be scheduled.
In this embodiment, the minimum power, the maximum power and the power to be scheduled of the inverters are synthesized to generate a power operation instruction, so that safe operation of each inverter is ensured.
In one possible implementation manner, after generating the control command corresponding to each inverter according to the power to be scheduled of each inverter in step S105, the method further includes:
marking the state of the inverter with the power to be scheduled being greater than the maximum power as an incomplete allocation state, and determining additional scheduling power according to the power to be scheduled and the maximum power of the corresponding inverter;
marking the state of the inverter with power to be scheduled smaller than the maximum power as the completed distribution state;
updating the target inverter group according to the inverters in each incomplete allocation state, and updating the energy scheduling power value according to the sum of the additional scheduling power of the inverters in each incomplete allocation state;
and repeatedly executing the steps of determining the distribution coefficient of each inverter and the following steps according to the SOC information of each inverter in the target inverter group, and stopping repeatedly executing the operation when the sum of the additional dispatching powers is zero.
Because the inverters have the minimum power and the maximum power limitation, after the power to be scheduled is allocated to each inverter for a single time according to the allocation coefficient and the energy scheduling power value of each inverter, the situation that part of the inverters cannot complete the consumption at one time and part of the inverters can complete the additional power consumption exists. Therefore, after the control command corresponding to each inverter is generated according to the power to be scheduled of each inverter in step S105, the power distribution process is further included again or even multiple times to dynamically optimize the inverter grouping and the inverter operation state.
In the embodiment, the dynamic balance control of the cluster energy storage system is completed by dynamically adjusting the inverter grouping for marking the incomplete distribution state and the completed distribution state and performing multiple rounds of power distribution aiming at the target energy scheduling instruction.
In one possible implementation, determining the distribution coefficient of each inverter according to each inverter SOC in the target inverter group in step S103 includes:
when the target energy scheduling instruction corresponds to the discharge scheduling instruction, determining the distribution coefficient of each inverter based on the following relation;
when the target energy scheduling instruction corresponds to the charging scheduling instruction, determining the distribution coefficient of each inverter based on the following relation;
the inverters [1] to [ N ] are the ith inverter in the target inverter group; i=1 to N; n is a variable and is an integer.
In a specific embodiment, the same inverter SOC correspondence distribution coefficients are different according to the type of the energy scheduling instruction. For example: the inverter SOC is 30%, and when the inverter responds to a discharge scheduling instruction to execute a discharge task and is compared with an inverter with the inverter SOC of 50%, the discharge rate is slow; and when the inverter performs a charging task in response to the charging schedule instruction and compares with an inverter having an inverter SOC of 50%, the charging rate is fast. Therefore, corresponding inverter distribution coefficient calculation formulas are set corresponding to different types of energy scheduling instructions.
In this embodiment, in consideration of different output sizes of the inverters when the inverters are used for charging or discharging, corresponding inverter distribution coefficient calculation formulas are set for different energy scheduling instruction types, so as to improve the energy scheduling power value distribution rationality and improve the running equality of each inverter in the target inverter group.
In one possible implementation, in step S202, determining the target inverter group according to the energy scheduling instruction includes:
analyzing the target energy scheduling instruction to determine the corresponding energy scheduling type;
determining corresponding inverter filtering and screening conditions according to the energy scheduling type;
and determining the inverters filtered according to the inverter filtering and screening conditions as target inverter groups.
In the specific implementation process, if the SOC values of the inverters are different, the inverters respond to different energy scheduling types to operate so as to realize stable and safe operation. For example: when the SOC of the inverter is larger than a set value and the overcharge risk exists, discharging is carried out only in response to a discharging scheduling instruction; when the SOC of the inverter is smaller than another set value and the risk of over-discharge exists, discharging is carried out only in response to the charging scheduling instruction; when the inverter SOC is between the amount setting values, the discharge may be performed in response to the discharge schedule instruction or in response to the charge schedule instruction.
In the embodiment, when the target inverter group is determined, the inverter filtering and screening conditions are determined based on the energy scheduling type corresponding to the target energy scheduling instruction, so that the inverters in the inverter group can safely operate in the process of executing the energy scheduling instruction, and the stability of the cluster energy storage system is improved.
In one possible implementation, determining the corresponding filtering conditions according to the energy scheduling type includes:
when the energy scheduling type is discharge scheduling, the corresponding inverter filtering and screening conditions comprise:
the current SOC of the inverter is smaller than the discharge stopping SOC, and the state of the inverter is a state allowing power distribution; or the current SOC of the inverter is smaller than the recovery discharge SOC and the inverter state is a state of stopping distributing power; wherein the recovery discharge SOC is less than or equal to the stop discharge SOC;
when the energy scheduling type is charging scheduling, the corresponding inverter filtering and screening conditions comprise:
the current SOC of the inverter is greater than the state of stopping charging SOC and the state of the inverter is a state allowing power distribution, or the current SOC of the inverter is greater than the state of recovering charging SOC and the state of the inverter is a state of stopping power distribution; wherein the recovered charge SOC is less than or equal to the stopped charge SOC.
In a specific practical process, the inverter is charged without limit and is overcharged without limit, and the over-discharge can occur, so that stable and safe operation of the inverter can be influenced no matter the over-charge or the over-discharge, and the inverter loss is caused, so that the service life of the inverter is reduced. Accordingly, the stop discharge SOC, the resume discharge SOC, the stop charge SOC, and the resume charge SOC are set correspondingly. Wherein stopping discharging and recovering charging SOC corresponds to discharging
When the SOC of the inverter is smaller than the discharge stopping SOC, the over-discharge risk exists, the discharge is required to be stopped in time, and when the SOC of the inverter is larger than the discharge recovering SOC, the over-discharge risk is relieved by the battery, and the battery can be used for executing the discharge; thus, the recovery discharge SOC is greater than or equal to the stop discharge SOC.
Similarly, when the SOC of the inverter is larger than the charging stop SOC, the charging is required to be stopped in time, and when the SOC of the inverter is smaller than the charging recovery SOC, the battery releases the charging risk and can be used for executing charging; thus, the recovered charge SOC is less than or equal to the stop charge SOC.
In addition, the state of allowing power distribution and stopping power distribution is determined based on the hardware running state of the inverter, namely the state of allowing power distribution is that the running state of the inverter is in a starting-up and safe running state, and the state of stopping power distribution corresponds to the state that the inverter has a fault or is in a stopping state.
In the embodiment, the corresponding inverter filtering and screening conditions are set according to the energy scheduling type, the inverter filtering and screening conditions are set comprehensively considering the overcharge risk, the overdischarge risk and the hardware running state, the accuracy of determining the target inverter grouping according to the energy scheduling instruction is improved, and the stable and balanced running requirement of the cluster energy storage system is met.
In one possible implementation, the method further includes:
marking the inverter state as a state allowing power to be distributed when the inverter is in normal operation;
when the inverter is in a shutdown and/or fault state, the inverter state is marked as a state in which power distribution is stopped.
Wherein, when the inverter is in a stopped state, a failed state, or a state in which the inverter is controlled to stop due to a failure, the marked inverter state is a state in which the distribution of power is stopped, and when the inverter is normally started after the maintenance is passed, the marked inverter state is restored to a state in which the distribution of power is allowed, to determine a target inverter group based on the state in which the distribution of power is allowed in step S202.
In the embodiment, considering that the inverter fails in the running process, the continuous running can affect the safe and stable running of the inverter and the whole cluster energy storage system, and the state of allowing or stopping power distribution is marked to provide grouping basis for determining the target inverter grouping according to the energy scheduling instruction, so that the running safety of the cluster energy storage system is improved.
It should be understood that the sequence number of each step in the foregoing embodiment does not mean that the execution sequence of each process should be determined by the function and the internal logic, and should not limit the implementation process of the embodiment of the present application.
The following are device embodiments of the application, for details not described in detail therein, reference may be made to the corresponding method embodiments described above.
Fig. 3 is a schematic structural diagram of a scheduling apparatus of a cluster energy storage system according to an embodiment of the present application, as shown in fig. 3, and for convenience of explanation, only a portion related to the embodiment of the present application is shown, as shown in fig. 3, where the apparatus includes:
an acquisition module 301, configured to acquire a target energy scheduling instruction;
a determining module 302, configured to determine a target inverter group according to the energy scheduling instruction; the target energy scheduling instruction at least comprises: energy scheduling type and energy scheduling power value; the energy scheduling types comprise discharging scheduling and charging scheduling; the target energy scheduling instruction corresponds to a discharging scheduling instruction or a charging scheduling instruction;
determining the distribution coefficient of each inverter according to the SOC information of each inverter in the target inverter group, and determining the power to be scheduled of each inverter according to the distribution coefficient of each inverter and the energy scheduling power value;
The generating module 303 is configured to generate a control instruction corresponding to each inverter according to the power to be scheduled of each inverter, so as to control the inverter to operate according to the control instruction of each inverter.
In one possible implementation, the generating module 303 is specifically configured to:
generating a maximum power operation instruction when the power to be scheduled is larger than the maximum power of the corresponding inverter;
generating a minimum power operation instruction when the power to be scheduled is smaller than the minimum power of the corresponding inverter;
otherwise, generating an intermediate power operation instruction according to the power to be scheduled;
wherein, the power running instruction types include: a power output command corresponding to the discharge schedule command, and a power input command corresponding to the charge schedule command.
In a possible implementation manner, the determining module 302 is further configured to mark, after generating the control instruction corresponding to each inverter according to the power to be scheduled of each inverter, a state of an inverter with the power to be scheduled being greater than the maximum power as an incomplete allocation state, and determine the additional scheduling power according to the power to be scheduled and the maximum power of the corresponding inverter;
marking the state of the inverter with power to be scheduled smaller than the maximum power as the completed distribution state;
Updating the target inverter group according to the inverters in each incomplete allocation state, and updating the energy scheduling power value according to the sum of the additional scheduling power of the inverters in each incomplete allocation state;
and repeatedly executing the steps of determining the distribution coefficient of each inverter and the following steps according to the SOC information of each inverter in the target inverter group, and stopping repeatedly executing the operation when the sum of the additional dispatching powers is zero.
In one possible implementation, the determining module 302 is specifically configured to:
when the target energy scheduling instruction corresponds to the discharge scheduling instruction, determining the distribution coefficient of each inverter based on the following relation;
when the target energy scheduling instruction corresponds to the charging scheduling instruction, determining the distribution coefficient of each inverter based on the following relation;
the inverters [1] to [ N ] are the ith inverter in the target inverter group; i=1 to N; n is a variable and is an integer.
In one possible implementation, the determining module 302 is specifically configured to:
analyzing the target energy scheduling instruction to determine the corresponding energy scheduling type;
determining corresponding inverter filtering and screening conditions according to the energy scheduling type;
and determining the inverters filtered according to the inverter filtering and screening conditions as target inverter groups.
In one possible implementation, the determining module 302 is specifically configured to:
when the energy scheduling type is discharge scheduling, the corresponding inverter filtering and screening conditions comprise:
the current SOC of the inverter is smaller than the discharge stopping SOC, and the state of the inverter is a state allowing power distribution; or the current SOC of the inverter is smaller than the recovery discharge SOC and the inverter state is a state of stopping distributing power; wherein the recovery discharge SOC is less than or equal to the stop discharge SOC;
when the energy scheduling type is charging scheduling, the corresponding inverter filtering and screening conditions comprise:
the current SOC of the inverter is greater than the state of stopping charging SOC and the state of the inverter is a state allowing power distribution, or the current SOC of the inverter is greater than the state of recovering charging SOC and the state of the inverter is a state of stopping power distribution; wherein the recovered charge SOC is less than or equal to the stopped charge SOC.
In one possible implementation, the determining module 302 is further configured to:
marking the inverter state as a state allowing power to be distributed when the inverter is in normal operation;
when the inverter is in a shutdown and/or fault state, the inverter state is marked as a state in which power distribution is stopped.
In the embodiment of the application, the corresponding target inverter group is determined according to the energy scheduling instruction type, the output capacity of each inverter is distinguished based on each inverter SOC in the target inverter group, and the distribution coefficient is assigned. And determining power to be scheduled of each inverter according to the distribution coefficient of each inverter and the energy scheduling power value, correspondingly generating a control instruction of each inverter, realizing non-uniform control of power of each inverter, ensuring that working power of each inverter in a target inverter group is matched with the state of each inverter, and realizing uniform control of each inverter as a whole.
Fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application. As shown in fig. 4, the electronic apparatus 4 of this embodiment includes: a processor 40, a memory 41 and a computer program 42 stored in the memory 41 and executable on the processor 40. The steps of the scheduling method embodiment of each cluster energy storage system described above, such as steps S201 to S205 shown in fig. 2, are implemented when the processor 40 executes the computer program 42. Alternatively, the processor 40 may perform the functions of the modules/units of the apparatus embodiments described above, such as the functions of the modules 301 to 303 shown in fig. 3, when executing the computer program 42.
Illustratively, the computer program 42 may be partitioned into one or more modules/units that are stored in the memory 41 and executed by the processor 40 to complete the present application. The one or more modules/units may be a series of computer program instruction segments capable of performing the specified functions, which instruction segments are used to describe the execution of the computer program 42 in the electronic device 4. For example, the computer program 42 may be partitioned into modules 301 to 303 shown in fig. 3.
The electronic device 4 may be a computing device such as a desktop computer, a notebook computer, a palm computer, a cloud server, etc. The electronic device 4 may include, but is not limited to, a processor 40, a memory 41. It will be appreciated by those skilled in the art that fig. 4 is merely an example of the electronic device 4 and is not meant to be limiting of the electronic device 4, and may include more or fewer components than shown, or may combine certain components, or different components, e.g., the electronic device may further include an input-output device, a network access device, a bus, etc.
The processor 40 may be a central processing unit (Central Processing Unit, CPU), other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field-programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 41 may be an internal storage unit of the electronic device 4, such as a hard disk or a memory of the electronic device 4. The memory 41 may be an external storage device of the electronic device 4, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) or the like, which are provided on the electronic device 4. Further, the memory 41 may also include both an internal storage unit and an external storage device of the electronic device 4. The memory 41 is used for storing the computer program and other programs and data required by the electronic device. The memory 41 may also be used for temporarily storing data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional units and modules is illustrated, and in practical application, the above-described functional distribution may be performed by different functional units and modules according to needs, i.e. the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-described functions. The functional units and modules in the embodiment may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit, where the integrated units may be implemented in a form of hardware or a form of a software functional unit. In addition, the specific names of the functional units and modules are only for distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working process of the units and modules in the above system may refer to the corresponding process in the foregoing method embodiment, which is not described herein again.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and in part, not described or illustrated in any particular embodiment, reference is made to the related descriptions of other embodiments.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus/electronic device and method may be implemented in other manners. For example, the apparatus/electronic device embodiments described above are merely illustrative, e.g., the division of the modules or units is merely a logical function division, and there may be additional divisions in actual implementation, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection via interfaces, devices or units, which may be in electrical, mechanical or other forms.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated modules/units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the present application may implement all or part of the flow of the method of the foregoing embodiment, or may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and the computer program may implement the steps of the scheduling method embodiment of each cluster energy storage system when the computer program is executed by a processor. Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth.
The above embodiments are only for illustrating the technical solution of the present application, and not for limiting the same; although the application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application, and are intended to be included in the scope of the present application.
Claims (10)
1. The dispatching method of the cluster energy storage system is characterized in that the cluster energy storage system at least comprises a plurality of inverters for controlling charging and discharging; the method comprises the following steps:
acquiring a target energy scheduling instruction; the target energy scheduling instruction at least comprises: energy scheduling type and energy scheduling power value; the energy scheduling types comprise discharge scheduling and charge scheduling; the target energy scheduling instruction corresponds to a discharging scheduling instruction or a charging scheduling instruction;
determining a target inverter group according to the energy scheduling instruction;
determining the distribution coefficient of each inverter according to the residual electric quantity SOC of each inverter in the target inverter group;
Determining power to be scheduled of each inverter according to the distribution coefficient of each inverter and the energy scheduling power value;
and generating control instructions corresponding to the inverters according to the power to be scheduled of the inverters so as to control the running states of the corresponding inverters according to the control instructions of the inverters.
2. The method for dispatching a clustered energy storage system of claim 1, wherein generating control instructions for each inverter according to power to be dispatched for each inverter comprises:
generating a maximum power operation instruction when the power to be scheduled is larger than the maximum power of the corresponding inverter;
generating a minimum power operation instruction when the power to be scheduled is smaller than the minimum power of the corresponding inverter;
otherwise, generating an intermediate power operation instruction according to the power to be scheduled;
wherein, the power running instruction types include: a power output command corresponding to the discharge schedule command, and a power input command corresponding to the charge schedule command.
3. The method for dispatching a clustered energy storage system of claim 2, further comprising, after generating the control command corresponding to each inverter according to the power to be dispatched of each inverter:
marking the state of the inverter with the power to be scheduled being greater than the maximum power as an incomplete allocation state, and determining additional scheduling power according to the power to be scheduled and the maximum power of the corresponding inverter;
Marking the state of the inverter with power to be scheduled smaller than the maximum power as the completed distribution state;
updating the target inverter group according to the inverters in each incomplete allocation state, and updating the energy scheduling power value according to the sum of the additional scheduling power of the inverters in each incomplete allocation state;
and repeatedly executing the steps of determining the distribution coefficient of each inverter and the following steps according to the SOC information of each inverter in the target inverter group, and stopping repeatedly executing the operation when the sum of the additional dispatching powers is zero.
4. The method of claim 1, wherein determining the distribution coefficient of each inverter according to each inverter SOC in the target inverter group comprises:
when the target energy scheduling instruction corresponds to a discharge scheduling instruction, determining the distribution coefficient of each inverter based on the following relation;
when the target energy scheduling instruction corresponds to a charging scheduling instruction, determining the distribution coefficient of each inverter based on the following relation;
the inverters [1] to [ N ] are the ith inverter in the target inverter group; i=1 to N; n is a variable and is an integer.
5. The method of claim 1, wherein determining a target inverter group according to the energy scheduling instruction comprises:
analyzing the target energy scheduling instruction to determine a corresponding energy scheduling type;
determining corresponding inverter filtering and screening conditions according to the energy scheduling type;
and determining the inverters filtered according to the inverter filtering and screening conditions as target inverter groups.
6. The method for dispatching a clustered energy storage system of claim 5, wherein determining the corresponding filtering conditions according to the energy dispatching type comprises:
when the energy scheduling type is discharge scheduling, the corresponding inverter filtering and screening conditions comprise:
the current SOC of the inverter is smaller than the discharge stopping SOC, and the state of the inverter is a state allowing power distribution; or the current SOC of the inverter is smaller than the recovery discharge SOC and the inverter state is a state of stopping distributing power; wherein the recovery discharge SOC is less than or equal to the stop discharge SOC;
when the energy scheduling type is charging scheduling, the corresponding inverter filtering and screening conditions comprise:
the current SOC of the inverter is greater than the state of stopping charging SOC and the state of the inverter is a state allowing power distribution, or the current SOC of the inverter is greater than the state of recovering charging SOC and the state of the inverter is a state of stopping power distribution; wherein the recovered charge SOC is less than or equal to the stopped charge SOC.
7. The method of scheduling a clustered energy storage system of claim 6, further comprising:
marking the inverter state as a state allowing power to be distributed when the inverter is in normal operation;
when the inverter is in a shutdown and/or fault state, the inverter state is marked as a state in which power distribution is stopped.
8. A scheduling apparatus for a clustered energy storage system, comprising:
the acquisition module is used for acquiring the target energy scheduling instruction;
the determining module is used for determining a target inverter group according to the energy scheduling instruction; the target energy scheduling instruction at least comprises: energy scheduling type and energy scheduling power value; the energy scheduling types comprise discharge scheduling and charge scheduling; the target energy scheduling instruction corresponds to a discharging scheduling instruction or a charging scheduling instruction;
determining the distribution coefficient of each inverter according to the SOC information of each inverter in the target inverter group, and determining the power to be scheduled of each inverter according to the distribution coefficient of each inverter and the energy scheduling power value;
the generation module is used for generating control instructions corresponding to the inverters according to the power to be scheduled of the inverters so as to control the inverters to operate according to the control instructions of the inverters.
9. An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the scheduling method of the clustered energy storage system of any one of the preceding claims 1 to 7 when the computer program is executed.
10. A computer readable storage medium storing a computer program, characterized in that the computer program when executed by a processor implements the steps of the scheduling method of a clustered energy storage system according to any one of the preceding claims 1 to 7.
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| CN117277375A (en) * | 2023-09-23 | 2023-12-22 | 广东永光新能源科技有限公司 | Energy distribution method and device for combined energy storage system and electronic equipment |
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