CN115733168A - Energy storage charging and discharging management method and system, control terminal and storage medium - Google Patents
Energy storage charging and discharging management method and system, control terminal and storage medium Download PDFInfo
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- CN115733168A CN115733168A CN202211484313.XA CN202211484313A CN115733168A CN 115733168 A CN115733168 A CN 115733168A CN 202211484313 A CN202211484313 A CN 202211484313A CN 115733168 A CN115733168 A CN 115733168A
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Abstract
The scheme relates to an energy storage charging and discharging management method, an energy storage charging and discharging management system, a control terminal and a storage medium. The method comprises the following steps: acquiring historical electricity utilization data and a production electricity utilization plan, and establishing an electricity utilization operation curve according to the historical electricity utilization data; according to the generated power utilization plan and the power utilization operation curve, power utilization prediction is carried out through a prediction model by taking the minimum power utilization demand as an optimization target, and power utilization prediction data are output; calculating the configuration capacity and the maximum charging and discharging power of the energy storage system through historical electricity utilization data and an optimization model; and collecting the power utilization power in real time, and controlling the energy storage system to charge and discharge according to the power utilization power, the power utilization prediction data, the configuration capacity and the maximum charge and discharge power. The configuration of the energy storage system is evaluated by utilizing historical electricity utilization data and an optimization model, so that the input of energy storage construction is minimized; through the prediction model, the historical electricity utilization and the production plan electricity utilization are combined, the optimal demand power is predicted, charging and discharging management is carried out, and electricity resources are saved.
Description
Technical Field
The invention relates to the technical field of power demand management and energy storage, in particular to an energy storage charging and discharging management method, system, control terminal and storage medium.
Background
With the economic development and industrial upgrading of China, the capacity of the existing power distribution equipment in a power grid can possibly not meet the increasing power demand of peak load. With the large-scale access of renewable energy power generation to medium and low voltage distribution networks, the characteristics of instability and volatility can further worsen the peak-valley difference of the power grid. On the one hand, the problem of peak-valley power utilization difference is solved from the source by the distributed energy storage, the economic operation of a power grid and the reasonable configuration of resources are ensured, on the other hand, the distributed energy storage system on the user side can reduce the expenditure of electric charges through time-of-use electricity price, reduce the investment of power distribution capacity through a smooth power utilization curve, and simultaneously improve the reliability of power supply of users. For industrial production enterprises, users can choose to pay basic electricity charges according to the capacity of the transformer or the maximum demand. When the user chooses to pay the electricity according to the maximum demand, on one hand, the peak power grid electricity load can be reduced through configuring the user side energy storage system and running control to reduce the maximum demand of the month, so that the basic electricity charge is reduced, on the other hand, according to multi-period rate policies of the power grid, such as tip rate, peak rate, average rate, valley rate and the like, the user can carry out charge-discharge control, the battery is charged when the rate is low, the battery is discharged when the rate is high, the electricity consumption expenditure when the rate is high is reduced, the electricity consumption charge is reduced, and the purpose of rate price difference income is achieved.
However, in the current capacity configuration of energy storage at the user side, daily average power consumption is calculated by a typical daily load curve method, the daily load curve difference of the user is large, and the problem of resource waste exists in energy storage system configuration.
Disclosure of Invention
Based on this, in order to solve the above technical problems, an energy storage charging and discharging management method, a system, a control terminal and a storage medium are provided, which can save electric quantity resources.
An energy storage charging and discharging management method, the method comprising:
acquiring historical electricity utilization data and a production electricity utilization plan, and establishing an electricity utilization operation curve according to the historical electricity utilization data;
according to the generated power utilization plan and the power utilization operation curve, power utilization prediction is carried out through a prediction model by taking the minimum power utilization demand as an optimization target, and power utilization prediction data are output;
calculating the configuration capacity and the maximum charging and discharging power of the energy storage system according to the historical electricity utilization data;
and acquiring the power consumption power of a user side in real time, and controlling an energy storage system to charge and discharge according to the power consumption power, the power consumption prediction data, the configuration capacity and the maximum charge and discharge power.
In one embodiment, the establishing a power utilization operation curve according to the historical power utilization data includes:
extracting historical electricity utilization data of a user side and electricity consumption rate periods of a power supply company from the historical electricity utilization data;
and according to the historical electricity utilization data of the user side and the electricity utilization rate periods of the power supply company, monthly electricity utilization operation curves of the load average power at different rate periods are established monthly.
In one embodiment, the calculating the configured capacity and the maximum charging and discharging power of the energy storage system through the historical electricity consumption data and the optimization model includes:
extracting load average power of different rate periods in historical months in the historical electricity consumption data and total days in the historical months, and calculating historical energy storage system capacity and maximum charge and discharge power configuration parameters;
and selecting the maximum value in the historical energy storage system capacity and the maximum charge-discharge power configuration parameter as the configuration capacity and the maximum charge-discharge power of the energy storage system.
In one embodiment, the collecting power consumption of the user side in real time includes:
and connecting a transformer main incoming line at a user side, and acquiring the power consumption at the transformer main incoming line in real time.
In one embodiment, the controlling the energy storage system to charge and discharge according to the power consumption, the power consumption prediction data, the configuration capacity, and the maximum charge and discharge power includes:
acquiring the battery charge state of the energy storage system at the current moment through a battery management system in the energy storage system;
calculating charge and discharge power according to the battery charge state, the power consumption prediction data, the configuration capacity and the maximum charge and discharge power;
and sending the charging and discharging power and the charging and discharging instruction to an energy storage converter in the energy storage system.
In one embodiment, the method further comprises:
acquiring the battery charge state in real time, and comparing the battery charge state with a charge threshold;
and when the charge state of the battery reaches the charge threshold, sending an idle standby instruction to the energy storage converter, and stopping charging and discharging of the energy storage converter.
An energy storage charging and discharging management system, the system comprising:
the power utilization operation curve establishing module is used for acquiring historical power utilization data and a production power utilization plan and establishing a power utilization operation curve according to the historical power utilization data;
the power utilization prediction module is used for predicting power utilization through a prediction model by taking the minimum power utilization demand as an optimization target according to the generated power utilization plan and the power utilization operation curve and outputting power utilization prediction data;
the energy storage system parameter calculation module is used for calculating the configuration capacity and the maximum charging and discharging power of the energy storage system according to the historical electricity utilization data;
and the charge and discharge control module is used for acquiring the power consumption of the user side in real time and controlling the energy storage system to charge and discharge according to the power consumption, the power consumption prediction data, the configuration capacity and the maximum charge and discharge power.
A control terminal comprising a memory and a processor, the memory storing a computer program, the processor implementing the following steps when executing the computer program:
acquiring historical electricity utilization data and a production electricity utilization plan, and establishing an electricity utilization operation curve according to the historical electricity utilization data;
according to the generated power utilization plan and the power utilization operation curve, power utilization prediction is carried out through a prediction model by taking the minimum power utilization demand as an optimization target, and power utilization prediction data are output;
calculating the configuration capacity and the maximum charging and discharging power of the energy storage system according to the historical electricity utilization data;
and acquiring the power consumption power of a user side in real time, and controlling an energy storage system to charge and discharge according to the power consumption power, the power consumption prediction data, the configuration capacity and the maximum charge and discharge power.
A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of:
acquiring historical electricity utilization data and a production electricity utilization plan, and establishing an electricity utilization operation curve according to the historical electricity utilization data;
according to the generated power utilization plan and the power utilization operation curve, power utilization prediction is carried out through a prediction model by taking the minimum power utilization demand as an optimization target, and power utilization prediction data are output;
calculating the configuration capacity and the maximum charging and discharging power of the energy storage system according to the historical electricity utilization data;
and acquiring the power consumption power of a user side in real time, and controlling an energy storage system to charge and discharge according to the power consumption power, the power consumption prediction data, the configuration capacity and the maximum charge and discharge power.
According to the energy storage charging and discharging management method, the system, the control terminal and the storage medium, historical power utilization data and a production power utilization plan are obtained, and a power utilization operation curve is established according to the historical power utilization data; according to the generated power utilization plan and the power utilization operation curve, power utilization prediction is carried out through a prediction model by taking the minimum power utilization demand as an optimization target, and power utilization prediction data are output; calculating the configuration capacity and the maximum charging and discharging power of the energy storage system according to the historical electricity utilization data; and acquiring the power consumption power of a user side in real time, and controlling an energy storage system to charge and discharge according to the power consumption power, the power consumption prediction data, the configuration capacity and the maximum charge and discharge power. The configuration of the energy storage system is evaluated by utilizing historical electricity utilization data and an optimization model, so that the input of energy storage construction is minimized; through the prediction model, the historical power utilization and the production plan power utilization are combined, the optimal demand power in the next month is predicted, the charging and discharging management of the energy storage system is carried out, the maximum power utilization load is controlled not to exceed the predicted demand, the power utilization economic benefit is realized, the production power utilization safety and reliability are realized, and the power resource is saved.
Drawings
FIG. 1 is a diagram illustrating an exemplary embodiment of an energy storage charging/discharging management method;
FIG. 2 is a schematic flow chart illustrating an energy storage charging/discharging management method according to an embodiment;
FIG. 3 is a schematic illustration of an electrical operating curve in one embodiment;
FIG. 4 is a system deployment diagram of the energy storage charging and discharging management method of one embodiment;
FIG. 5 is a schematic diagram illustrating a process of energy storage charging and discharging control according to an embodiment;
fig. 6 is a schematic diagram illustrating a curve of energy storage charging and discharging management at a user side in one embodiment;
FIG. 7 is a flowchart illustrating a method for energy storage charging/discharging management according to another embodiment;
FIG. 8 is a block diagram of an embodiment of an energy storage charging/discharging management system;
fig. 9 is an internal structural view of a control terminal in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The energy storage charging and discharging management method provided by the embodiment of the application can be applied to the application environment shown in fig. 1. As shown in fig. 1, the application environment includes a control terminal 110, where the control terminal 110 may be a source network storage cooperative control terminal. The control terminal 110 may obtain historical power consumption data and a production power consumption plan, and establish a power consumption operation curve according to the historical power consumption data; the control terminal 110 may predict electricity consumption through a prediction model with a minimum electricity demand as an optimization target according to the generated electricity consumption plan and the electricity consumption operation curve, and output electricity consumption prediction data; the control terminal 110 can calculate the configuration capacity and the maximum charging and discharging power of the energy storage system through historical power utilization data and an optimization model; the control terminal 110 may collect the power consumption of the user side in real time, and control the energy storage system to perform charging and discharging according to the power consumption, the power consumption prediction data, the configuration capacity, and the maximum charging and discharging power. The control terminal 110 may be, but is not limited to, various personal computers, notebook computers, robots, tablet computers, and other devices.
In one embodiment, as shown in fig. 2, there is provided an energy storage charging and discharging management method, including the following steps:
The control terminal, namely the source network charge storage cooperative control terminal, may obtain historical power consumption data, where the historical power consumption data may include historical power consumption operation curve data of a user side and different power consumption rates of a power supply company, such as peak, flat, and valley periods, and calculate and establish load average power consumption operation curves at different rate periods. As shown in fig. 3, the tariff 1 to 4 periods correspond to tip, peak, flat, and valley electricity periods specified by local electric power companies. For example: the rate time period of province a specifies a peak period 8 per day: 00-11, 17. At 7, 8 months per year, when the daily maximum air temperature reaches or exceeds 35 degrees celsius, 10.
The control terminal may also obtain a production electricity plan, where the production electricity plan may be used to represent the production plan electricity power for the next month.
And step 204, carrying out power utilization prediction through a prediction model by taking the minimum power utilization demand as an optimization target according to the generated power utilization plan and the power utilization operation curve, and outputting power utilization prediction data.
The control terminal can predict the optimal demand power of the current month according to the historical power utilization data of the user, the demand power optimization is taken as a target, the historical demand power and the production plan power utilization are combined according to a prediction model, the power utilization prediction data, namely the prediction value, are output, and the power utilization of the user side can be guaranteed to run economically under the controllable minimum demand.
The control terminal predicts the optimal demand power of the next month by using a prediction model (such as a cubic exponential smoothing method) with periodic and trend characteristics according to historical power demand data and production plan power consumption from a production execution manufacturing system.
And step 206, calculating the configuration capacity and the maximum charge and discharge power of the energy storage system through historical electricity utilization data.
The control terminal can calculate the optimal configuration capacity and the maximum charging and discharging power of the energy storage system according to historical electricity utilization data of a user by taking demand electricity fee optimization as a target, so that charging and discharging of the energy storage system are conveniently controlled, the total electricity utilization power is guaranteed not to exceed the maximum demand power limit, and minimization of the total demand electricity fee is achieved.
And 208, acquiring the power consumption power of the user side in real time, and controlling the energy storage system to charge and discharge according to the power consumption power, the power consumption prediction data, the configuration capacity and the maximum charge and discharge power.
The control terminal can collect and calculate the power consumption of the main incoming line of the user side in real time, and the control terminal performs charge and discharge control on the energy storage system by combining the predicted optimal demand power of the month, so that the power consumption of the user side is kept to be normally operated under the set optimal demand power.
In the embodiment, historical electricity utilization data and a production electricity utilization plan are obtained, and an electricity utilization operation curve is established according to the historical electricity utilization data; according to the generated power utilization plan and the power utilization operation curve, power utilization prediction is carried out through a prediction model by taking the minimum power utilization demand as an optimization target, and power utilization prediction data are output; calculating the configuration capacity and the maximum charging and discharging power of the energy storage system through historical electricity utilization data and an optimization model; and acquiring the power consumption power of the user side in real time, and controlling the energy storage system to charge and discharge according to the power consumption power, the power consumption prediction data, the configuration capacity and the maximum charge and discharge power. The configuration of the energy storage system is evaluated by utilizing historical electricity utilization data and an optimization model, so that the input of energy storage construction is minimized; through the prediction model, the historical power utilization and the production plan power utilization are combined, the optimal demand power in the next month is predicted, the charging and discharging management of the energy storage system is carried out, the maximum power utilization load is controlled not to exceed the predicted demand, the power utilization economic benefit is realized, the production power utilization safety and reliability are realized, and the power resource is saved.
In one embodiment, the energy storage charging and discharging management method provided may further include a process of establishing an electricity usage operation curve, where the specific process includes: extracting historical electricity utilization data of a user side and electricity consumption rate periods of a power supply company from historical electricity utilization data; according to the historical electricity utilization data of the user side and the electricity consumption rate periods of the power supply company, monthly electricity utilization operation curves of the load average power at different rate periods are built according to months.
Wherein the actual operation curve is the total power consumption value p 'of the meter at the total inlet wire of the transformer every 15 minutes' j (t) composition, j represents day of the month. Data points in the average Power Curve
M i Time 15 minute time point representing time period of rate i
In an embodiment, the energy storage charging and discharging management method may further include a process of calculating a configuration capacity and a maximum charging and discharging power of the energy storage system, where the specific process includes: extracting load average power of different rate periods in historical months and total days in the historical months in historical electricity utilization data, and calculating historical energy storage system capacity and maximum charge and discharge power configuration parameters; and selecting the maximum value in the maximum value historical energy storage system capacity and the maximum charge-discharge power configuration parameter as the configuration capacity and the maximum charge-discharge power of the energy storage system.
The control terminal can fuse energy storage charging and discharging management power consumption parameters according to monthly power consumption operation curves, establish an optimization model taking the minimum demand power charge as a target, and solve the capacity C of the energy storage system required by monthly power consumption operation according to a simple algorithm ess (j) And a maximum charge-discharge power configuration parameter P ess (j) In that respect Specifically, the control terminal may respectively set up a model optimized with the minimum demand electric charge as a target according to months, and solve the capacity and the maximum charge-discharge power configuration parameters of the energy storage system, where the minimum demand electric charge target optimization model may be
Wherein p is i,j Representing the charging and discharging power, p, of the energy storage system i ' ,j And more than or equal to 0 represents the average power of the load in different rate periods in the historical months, i =1,2,3,4 represents the periods of tip, peak, flat and valley, and j represents the total number of days in the historical months. After obtaining the optimal solution, the maximum capacity in this month is
The maximum charge-discharge power in this month is p ess (j)＝max{p i,j I =1,2,3,4}. Finally, according to the energy storage system capacity and the maximum charging and discharging power configuration parameters in all historical months, selecting the maximum value as the energy storage capacity C ess ＝max{C ess (j) J =1,2,. - } and charge-discharge power p ess ＝max{p ess (j) J =1, 2. } energy storage system construction.
In one embodiment, the energy storage charging and discharging management method further includes a process of collecting power consumption, and the specific process includes: and connecting the transformer main incoming line at the user side, and acquiring the power consumption at the transformer main incoming line in real time.
The control terminal can be installed at the main incoming line of the transformer, and the total power consumption at the main incoming line of the transformer is measured in real time.
In an embodiment, the energy storage charging and discharging management method provided by the present invention may further include a process of controlling the energy storage system to perform charging and discharging, where the specific process includes: acquiring the battery charge state of the energy storage system at the current moment through a battery management system in the energy storage system; calculating charge and discharge power according to the charge state of the battery, the power consumption power, power consumption prediction data, configuration capacity and maximum charge and discharge power; and sending charging and discharging power and a charging and discharging instruction to an energy storage converter in the energy storage system.
The control terminal can communicate with an energy storage system BMS (battery management system) to acquire the battery SoC (state of charge) at the current moment; the control terminal can communicate with a PCS (energy storage converter) of the energy storage system, send a charge-discharge action instruction and corresponding power and control the PCS to carry out charge-discharge treatment; the control terminal can cooperate with the energy storage system (PCS and BMS) according to the optimal demand power predicted by the power consumption power in the month, and control and manage the charging and discharging power and time of the energy storage system.
In this embodiment, as shown in fig. 4, the control terminal may interact with the production execution manufacturing system, obtain the production planned power consumption of the next month at the end of each month, and predict the total power consumption demand of the next month by combining the historical power consumption data.
Specifically, the control terminal configures parameters according to the capacity of the energy storage system and the maximum charge and discharge power in all historical months, the maximum value is used as the energy storage capacity and the charge and discharge power to configure the energy storage system, and a user side comprehensive power utilization control system is established, so that the charge and discharge of the energy storage system are controlled.
Wherein, the control terminal combines the required power data of each month according to the history with the required power data of the monthThe actual maximum power utilization power is calculated by applying a cubic exponential smoothing prediction algorithm, the prediction period parameter is 12, and the optimal demand power p of the next month is calculated dmd-power . Maximum power p in power consumption by production planning dmd-mes Obtaining predicted electric power p dmd ＝α*p dmd-mes +(1-α)*p dmd-power Wherein, alpha is a confidence coefficient parameter of a production plan electricity utilization module in an enterprise production execution manufacturing system, and is generally 0.7; and performing charging and discharging control of the stored energy according to the demand power data.
In another embodiment, the energy storage charging and discharging management method provided by the present invention may further include a process of controlling the energy storage system to perform charging and discharging, where the specific process includes: acquiring the charge state of the battery in real time, and comparing the charge state of the battery with a charge threshold; and when the charge state of the battery reaches a charge threshold value, sending an idle standby instruction to the energy storage converter, and stopping charging and discharging the energy storage converter.
Wherein, as shown in fig. 5, the control terminal can calculate the real-time power p at the main incoming line of the transformer every minute rt (t) and the predicted optimum demand power p dmd The parameters are compared. If p is rt (t) is not less than p dmd Then the source network charge-storage cooperative control terminal sends a discharge instruction to the PCS of the energy storage system and adjusts the discharge power to be p rt (t)-p dmd The PCS carries out discharge treatment on the energy storage battery after receiving the instruction; if p is rt (t) is greater than p dmd Then, the source network charge-storage cooperative control terminal requests a SoC value to the BMS of the energy storage system, and when the SoC is less than 100%, the source network charge-storage cooperative control terminal sends a charging instruction to the PCS of the energy storage system and adjusts the charging power to p dmd -p rt (t), after receiving the instruction, the PCS carries out charging treatment on the energy storage battery; when the acquired SoC is equal to 100%, the source network charge-storage cooperative control terminal sends an idle standby instruction to the PCS of the energy storage system, and the PCS stops charging and discharging.
In the whole power utilization control process, when the SoC is smaller than 100%, the charging and discharging state of the energy storage system depends on the measured real-time power utilization power and the predicted optimal demand power in the month. As shown in fig. 6, when the real-time measured power consumption is larger, the energy storage system is in a discharging state, and conversely, the energy storage system is in a charging state.
In an embodiment, as shown in fig. 7, after the energy storage charging and discharging management method is used for 2 years, the configuration of the energy storage system is optimized again, the corresponding energy storage capacity and charging and discharging power are upgraded and modified, and then the charging and discharging management of the energy storage system is continued.
The energy storage charging and discharging management method provided by the application not only can ensure the optimal configuration of an energy storage system and reduce the energy storage construction investment, but also can ensure that the load operation is within the predicted power consumption demand range. After the comprehensive power utilization control system is operated for a long time (for example, 2 years) in an accumulated mode, the configuration of the energy storage system can be adjusted again, the whole energy storage system is upgraded in an iterative mode, and the economy, the applicability and the maintainability of the comprehensive power utilization operation control system in the whole life cycle are guaranteed.
The configuration of the energy storage system is evaluated by utilizing historical load operation data and an optimized demand electric charge model, so that the input of energy storage construction is minimized; through a prediction model, the historical power utilization and the production plan power utilization are combined, the optimal demand power in the next month is predicted, the charge and discharge management of the energy storage system is carried out through a source network charge and storage cooperative control terminal, the maximum load of the power utilization is controlled not to exceed the predicted demand, the power utilization economic benefit is realized, and the safety and the reliability of the production power utilization are realized; after the comprehensive power utilization system operates for a period of time, reevaluation and iterative upgrade of the configuration of the energy storage system are carried out, and the upgrade sustainability of the comprehensive power utilization operation control system is guaranteed. The whole method and the control system have certain economic, dynamic applicability, sustainability and other values.
The energy storage charging and discharging management method can be widely applied to application scenes of comprehensive power utilization optimization of other distributed power sources accessed to enterprises, including diesel generation grid connection, automobile V2G charging piles and the like, and has strong compatibility and expansibility.
It should be understood that, although the steps in the above-described flowcharts are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a part of the steps in the above flowcharts may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of performing the sub-steps or the stages is not necessarily performed in sequence, but may be performed alternately or alternately with other steps or at least a part of the sub-steps or the stages of other steps.
In one embodiment, as shown in fig. 8, there is provided an energy storage charging and discharging management system, including: the system comprises an electricity utilization operation curve establishing module 810, an electricity utilization predicting module 820, an energy storage system parameter calculating module 830 and a charging and discharging control module 840, wherein:
the power utilization operation curve establishing module 810 is used for acquiring historical power utilization data and a production power utilization plan, and establishing a power utilization operation curve according to the historical power utilization data;
the power utilization prediction module 820 is used for performing power utilization prediction through a prediction model by taking the minimum power utilization demand as an optimization target according to the generated power utilization plan and the power utilization operation curve and outputting power utilization prediction data;
the energy storage system parameter calculation module 830 is configured to calculate the configuration capacity and the maximum charging and discharging power of the energy storage system according to historical power consumption data;
and the charge and discharge control module 840 is used for acquiring the power consumption of the user side in real time and controlling the energy storage system to charge and discharge according to the power consumption, the power consumption prediction data, the configuration capacity and the maximum charge and discharge power.
In one embodiment, the power usage operation curve establishing module 810 is further configured to extract historical power usage data of the user side and a power consumption rate period of the power supply company from the historical power usage data; according to the historical electricity utilization data of the user side and the electricity consumption rate periods of the power supply company, monthly electricity utilization operation curves of the load average power at different rate periods are built according to months.
In one embodiment, the energy storage system parameter calculation module 830 is further configured to extract the average power of the load in different rate periods in the historical electricity consumption data in the historical months, and the total number of days in the historical months, and calculate the historical energy storage system capacity and the maximum charge and discharge power configuration parameter; and selecting the maximum value in the maximum value historical energy storage system capacity and the maximum charge-discharge power configuration parameter as the configuration capacity and the maximum charge-discharge power of the energy storage system.
In one embodiment, the charging and discharging control module 840 is further configured to connect to a transformer main incoming line on the user side, and collect power consumption at the transformer main incoming line in real time.
In one embodiment, the charge and discharge control module 840 is further configured to obtain a battery state of charge of the energy storage system at the current moment through a battery management system in the energy storage system; calculating charge and discharge power according to the charge state of the battery, the power consumption power, power consumption prediction data, configuration capacity and maximum charge and discharge power; and sending charging and discharging power and a charging and discharging instruction to an energy storage converter in the energy storage system.
In one embodiment, the charge-discharge control module 840 is further configured to obtain the battery state of charge in real time and compare the battery state of charge with a charge threshold; and when the charge state of the battery reaches a charge threshold value, sending an idle standby instruction to the energy storage converter, and stopping charging and discharging the energy storage converter.
In one embodiment, a control terminal is provided, an internal structure diagram of which may be as shown in fig. 9. The control terminal comprises a processor, a memory, a network interface, a display screen and an input device which are connected through a system bus. Wherein the processor of the control terminal is configured to provide computing and control capabilities. The memory of the control terminal comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the control terminal is used for connecting and communicating with an external terminal through a network. The computer program is executed by a processor to implement an energy storage charging and discharging management method. The display screen of the control terminal can be a liquid crystal display screen or an electronic ink display screen, and the input device of the control terminal can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on a shell of the control terminal, an external keyboard, a touch pad or a mouse and the like.
Those skilled in the art will appreciate that the configuration shown in fig. 9 is a block diagram of only a portion of the configuration associated with the present application, and does not constitute a limitation on the control terminal to which the present application is applied, and a particular control terminal may include more or less components than those shown in the figures, or combine certain components, or have a different arrangement of components.
In one embodiment, there is provided a control terminal comprising a memory and a processor, the memory having stored therein a computer program, the processor implementing the following steps when executing the computer program:
acquiring historical electricity utilization data and a production electricity utilization plan, and establishing an electricity utilization operation curve according to the historical electricity utilization data;
according to the generated power utilization plan and the power utilization operation curve, power utilization prediction is carried out through a prediction model by taking the minimum power utilization demand as an optimization target, and power utilization prediction data are output;
calculating the configuration capacity and the maximum charging and discharging power of the energy storage system through historical electricity utilization data;
and acquiring the power consumption power of the user side in real time, and controlling the energy storage system to charge and discharge according to the power consumption power, the power consumption prediction data, the configuration capacity and the maximum charge and discharge power.
In one embodiment, the processor, when executing the computer program, further performs the steps of: extracting historical electricity utilization data of a user side and electricity consumption rate periods of a power supply company from the historical electricity utilization data; according to the historical electricity utilization data of the user side and the electricity consumption rate periods of the power supply company, monthly electricity utilization operation curves of the load average power at different rate periods are built according to months.
In one embodiment, the processor when executing the computer program further performs the steps of: extracting load average power of different rate periods in historical months and total days in the historical months in historical electricity utilization data, and calculating historical energy storage system capacity and maximum charge and discharge power configuration parameters; and selecting the maximum value in the maximum value historical energy storage system capacity and the maximum charge-discharge power configuration parameter as the configuration capacity and the maximum charge-discharge power of the energy storage system.
In one embodiment, the processor, when executing the computer program, further performs the steps of: and connecting the transformer main incoming line at the user side, and acquiring the power consumption at the transformer main incoming line in real time.
In one embodiment, the processor, when executing the computer program, further performs the steps of: acquiring the battery charge state of the energy storage system at the current moment through a battery management system in the energy storage system; calculating charge and discharge power according to the charge state of the battery, the power consumption power, power consumption prediction data, configuration capacity and maximum charge and discharge power; and sending charging and discharging power and a charging and discharging instruction to an energy storage converter in the energy storage system.
In one embodiment, the processor, when executing the computer program, further performs the steps of: acquiring the charge state of the battery in real time, and comparing the charge state of the battery with a charge threshold; and when the charge state of the battery reaches a charge threshold value, sending an idle standby instruction to the energy storage converter, and stopping charging and discharging the energy storage converter.
In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when executed by a processor, performs the steps of:
acquiring historical electricity utilization data and a production electricity utilization plan, and establishing an electricity utilization operation curve according to the historical electricity utilization data;
according to the generated power utilization plan and the power utilization operation curve, power utilization prediction is carried out through a prediction model by taking the minimum power utilization demand as an optimization target, and power utilization prediction data are output;
calculating the configuration capacity and the maximum charging and discharging power of the energy storage system through historical electricity utilization data;
and acquiring the power consumption power of the user side in real time, and controlling the energy storage system to charge and discharge according to the power consumption power, the power consumption prediction data, the configuration capacity and the maximum charge and discharge power.
In one embodiment, the computer program when executed by the processor further performs the steps of: extracting historical electricity utilization data of a user side and electricity consumption rate periods of a power supply company from historical electricity utilization data; according to the historical electricity utilization data of the user side and the electricity consumption rate periods of the power supply company, monthly electricity utilization operation curves of the load average power at different rate periods are built according to months.
In one embodiment, the computer program when executed by the processor further performs the steps of: extracting load average power of different rate periods in historical months and total days in the historical months in historical electricity utilization data, and calculating historical energy storage system capacity and maximum charge and discharge power configuration parameters; and selecting the maximum value in the maximum value historical energy storage system capacity and the maximum charge-discharge power configuration parameter as the configuration capacity and the maximum charge-discharge power of the energy storage system.
In one embodiment, the computer program when executed by the processor further performs the steps of: and connecting the transformer main incoming line at the user side, and acquiring the power consumption at the transformer main incoming line in real time.
In one embodiment, the computer program when executed by the processor further performs the steps of: acquiring the battery charge state of the energy storage system at the current moment through a battery management system in the energy storage system; calculating charge and discharge power according to the charge state of the battery, the power consumption power, power consumption prediction data, configuration capacity and maximum charge and discharge power; and sending charging and discharging power and a charging and discharging instruction to an energy storage converter in the energy storage system.
In one embodiment, the computer program when executed by the processor further performs the steps of: acquiring the charge state of the battery in real time, and comparing the charge state of the battery with a charge threshold; and when the charge state of the battery reaches a charge threshold value, sending an idle standby instruction to the energy storage converter, and stopping charging and discharging the energy storage converter.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above may be implemented by hardware instructions of a computer program, which may be stored in a non-volatile computer-readable storage medium, and when executed, may include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), rambus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent application shall be subject to the appended claims.
Claims (10)
1. An energy storage charging and discharging management method is characterized by comprising the following steps:
acquiring historical electricity utilization data and a production electricity utilization plan, and establishing an electricity utilization operation curve according to the historical electricity utilization data;
according to the generated power utilization plan and the power utilization operation curve, power utilization prediction is carried out through a prediction model by taking the minimum power utilization demand as an optimization target, and power utilization prediction data are output;
calculating the configuration capacity and the maximum charging and discharging power of the energy storage system according to the historical electricity utilization data;
and acquiring the power consumption power of a user side in real time, and controlling an energy storage system to charge and discharge according to the power consumption power, the power consumption prediction data, the configuration capacity and the maximum charge and discharge power.
2. The energy storage charging and discharging management method according to claim 1, wherein the establishing of the power utilization operation curve according to the historical power utilization data comprises:
extracting historical electricity utilization data of a user side and electricity consumption rate periods of a power supply company from the historical electricity utilization data;
and according to the historical electricity utilization data of the user side and the electricity utilization rate periods of the power supply company, monthly electricity utilization operation curves of the load average power at different rate periods are established monthly.
3. The energy storage charging and discharging management method according to claim 1, wherein the calculating the configuration capacity and the maximum charging and discharging power of the energy storage system according to the historical electricity utilization data comprises:
extracting load average power of different rate periods in the historical electricity utilization data and total days in the historical months, and calculating historical energy storage system capacity and maximum charge and discharge power configuration parameters;
and selecting the maximum value in the historical energy storage system capacity and the maximum charge-discharge power configuration parameter as the configuration capacity and the maximum charge-discharge power of the energy storage system.
4. The energy storage charging and discharging management method according to claim 1, wherein the collecting the power consumption of the user side in real time comprises:
and connecting a transformer main incoming line at a user side, and acquiring the power consumption at the transformer main incoming line in real time.
5. The energy storage charging and discharging management method according to claim 1, wherein the controlling of charging and discharging of the energy storage system according to the power consumption, the power consumption prediction data, the configuration capacity and the maximum charging and discharging power comprises:
acquiring the battery charge state of the energy storage system at the current moment through a battery management system in the energy storage system;
calculating charge and discharge power according to the battery charge state, the power consumption prediction data, the configuration capacity and the maximum charge and discharge power;
and sending the charging and discharging power and the charging and discharging instruction to an energy storage converter in the energy storage system.
6. The energy storage charging and discharging management method according to claim 5, further comprising:
acquiring the state of charge of the battery in real time, and comparing the state of charge of the battery with a charge threshold;
and when the charge state of the battery reaches the charge threshold, sending an idle standby instruction to the energy storage converter, and stopping charging and discharging of the energy storage converter.
7. An energy storage charging and discharging management system, characterized in that the system comprises:
the power utilization operation curve establishing module is used for acquiring historical power utilization data and a production power utilization plan and establishing a power utilization operation curve according to the historical power utilization data;
the power utilization prediction module is used for performing power utilization prediction through a prediction model by taking the minimum power utilization demand as an optimization target according to the generated power utilization plan and the power utilization operation curve, and outputting power utilization prediction data;
the energy storage system parameter calculation module is used for calculating the configuration capacity and the maximum charging and discharging power of the energy storage system according to the historical electricity utilization data;
and the charge and discharge control module is used for acquiring the power consumption of the user side in real time and controlling the energy storage system to charge and discharge according to the power consumption, the power consumption prediction data, the configuration capacity and the maximum charge and discharge power.
8. The energy storage charging and discharging management system according to claim 7, wherein the power utilization operation curve establishing module is further configured to extract historical power utilization data of a user side and a power consumption rate period of a power supply company from the historical power utilization data; and according to the historical electricity utilization data of the user side and the electricity utilization rate periods of the power supply company, monthly electricity utilization operation curves of the load average power at different rate periods are established monthly.
9. A control terminal comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method according to any of claims 1 to 6.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 6.
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| CN116470618A (en) * | 2023-04-17 | 2023-07-21 | 深圳市威能讯电子有限公司 | Mobile outdoor energy storage charge and discharge control method |
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