Electric quantity scheduling method, device and equipment and storage medium

Abstract

The invention discloses an electric quantity scheduling method, device and equipment and a storage medium, relates to the technical field of energy management, is applied to a local end energy management system in a light storage scene, and comprises the steps of obtaining battery expected power and initial transaction expectation issued by a cloud; determining a target transaction expectation in combination with the initial transaction expectation according to a matching relationship between the current electricity price and a preset high electricity price condition; based on the matching relationship and the target transaction expectation, performing electric quantity scheduling on each energy storage device corresponding to the light storage scene by using the target power; the target power is the battery working power corresponding to the target transaction expectation determined according to the battery expectation power and the normal working power; the normal working power is the working power of the battery when the electric quantity is dispatched under the condition that the electric quantity transaction operation is not carried out. Therefore, the function of automatic power scheduling of the cloud can be played, the power scheduling strategy is optimized in combination with the actual situation of the light storage scene, and the use experience of a terminal user is improved through a more economical and real-time scheduling strategy.

Description

Technical Field

[0001] This invention relates to the field of energy management technology, and in particular to a power dispatching method, apparatus, device, and storage medium. Background Technology

[0002] In residential, commercial, and other photovoltaic-storage scenarios, early EMS (Energy Management System) solutions, operating under AI (Artificial Intelligence) mode, controlled local equipment charging, discharging, and electricity trading based on cloud-based scheduling strategies (combining factors such as electricity prices, weather, and load). However, as the working environment shifts from the laboratory to real-world applications, factors such as uncontrollable loads and small-scale photovoltaic fluctuations can influence grid-side electricity trading behavior. Under these uncontrollable interference factors, AI control commands may deviate slightly from expected control. In such cases, the local EMS equipment in the photovoltaic-storage scenario may control local area network devices entirely according to "incorrect commands," leading to abnormal phenomena such as "buying high, selling low, and curtailing photovoltaic power."

[0003] Therefore, optimizing power dispatch strategies and improving the user experience for end users in scenarios such as smart pricing and time-of-use pricing is a problem that needs to be solved in this field. Summary of the Invention

[0004] In view of this, the purpose of this invention is to provide a power dispatching method, apparatus, device, and storage medium that can leverage the automatic power dispatching capabilities of the cloud, while the local energy management system optimizes the power dispatching strategy based on the actual conditions of the photovoltaic-storage scenario, thereby improving the end-user experience through a more economical and real-time dispatching strategy. The specific solution is as follows:

[0005] Firstly, this application provides a power dispatching method applied to a local energy management system in a photovoltaic-storage scenario, comprising:

[0006] Obtain the battery expected power and corresponding initial transaction expectation issued by the cloud to the local energy management system; the initial transaction expectation is to perform an electricity trading operation or not to perform the electricity trading operation, and the electricity trading operation is an electricity selling operation or an electricity purchasing operation.

[0007] Based on the matching relationship between the current electricity price and the preset high electricity price condition, and in conjunction with the initial transaction expectation, the target transaction expectation corresponding to the photovoltaic-storage scenario is determined;

[0008] Based on the matching relationship and the target transaction expectation, the power of each energy storage device corresponding to the photovoltaic-storage scenario is scheduled using the target power; the target power is the battery operating power corresponding to the target transaction expectation, determined according to the battery expected power and normal operating power; the normal operating power is the battery operating power when the local energy management system performs power scheduling without performing the power transaction operation.

[0009] Optionally, determining the target transaction expectation corresponding to the photovoltaic-storage scenario based on the matching relationship between the current electricity price and the preset high electricity price condition, combined with the initial transaction expectation, includes:

[0010] If the current electricity price meets the preset high electricity price condition, and the initial transaction expectation is to perform the electricity sales operation, then performing the electricity sales operation will be determined as the target transaction expectation corresponding to the photovoltaic-storage scenario.

[0011] If the current electricity price meets the preset high electricity price condition, and the initial transaction expectation is to perform the electricity purchase operation, then not performing the electricity transaction operation will be determined as the target transaction expectation corresponding to the photovoltaic-storage scenario.

[0012] If the current electricity price meets the preset high electricity price condition, and the initial transaction expectation is not to perform the electricity trading operation, then performing the electricity selling operation will be determined as the target transaction expectation corresponding to the photovoltaic-storage scenario.

[0013] Optionally, determining the target transaction expectation corresponding to the photovoltaic-storage scenario based on the matching relationship between the current electricity price and the preset high electricity price condition, combined with the initial transaction expectation, includes:

[0014] If the current electricity price does not meet the preset high electricity price conditions, and the initial transaction expectation is to sell the electricity, then not to purchase the electricity will be determined as the target transaction expectation corresponding to the photovoltaic-storage scenario.

[0015] If the current electricity price does not meet the preset high electricity price conditions, and the initial transaction expectation is to perform the electricity purchase operation, then not performing the electricity transaction operation will be determined as the target transaction expectation corresponding to the photovoltaic-storage scenario.

[0016] If the current electricity price does not meet the preset high electricity price condition, and the initial transaction expectation is not to perform the electricity transaction operation, then not performing the electricity transaction operation will be determined as the target transaction expectation corresponding to the photovoltaic-storage scenario.

[0017] Optionally, the step of scheduling the power of each energy storage device corresponding to the photovoltaic-energy storage scenario based on the matching relationship and the target transaction expectation using the target power includes:

[0018] If the matching relationship indicates that the current electricity price meets the preset high electricity price condition, and the target transaction expectation is to perform the electricity selling operation, then the larger of the battery expected power and the normal operating power is determined as the target power, and the target power is used to schedule the power of each energy storage device corresponding to the photovoltaic-storage scenario.

[0019] If the matching relationship indicates that the current electricity price meets the preset high electricity price condition, and the target transaction expectation is not to perform the electricity transaction operation, then the normal operating power is determined as the target power, and the target power is used to schedule the power of each energy storage device corresponding to the photovoltaic-storage scenario.

[0020] Optionally, the step of scheduling the power of each energy storage device corresponding to the photovoltaic-energy storage scenario based on the matching relationship and the target transaction expectation using the target power includes:

[0021] If the matching relationship indicates that the current electricity price does not meet the preset high electricity price condition, and the target transaction expectation is not to perform the electricity purchase operation, then the expected battery power is determined as the target power, and the target power is used to schedule the power of each energy storage device corresponding to the photovoltaic-storage scenario.

[0022] If the matching relationship indicates that the current electricity price does not meet the preset high electricity price condition, the target transaction expectation is not to perform the electricity transaction operation, and the battery expected power indicates that the battery is in a charging state, then the smaller power between the normal operating power and the first power is determined as the target power, and the target power is used to schedule the power of each energy storage device corresponding to the photovoltaic-storage scenario; the value of the first power is zero.

[0023] If the matching relationship indicates that the current electricity price does not meet the preset high electricity price condition, the target transaction expectation is not to perform the electricity transaction operation, and the battery expected power indicates that the battery is in a discharging state, then the normal operating power is determined as the target power, and the target power is used to schedule the power of each energy storage device corresponding to the photovoltaic-storage scenario.

[0024] Optionally, obtaining the battery expected power and corresponding initial transaction expectation issued by the cloud to the local energy management system includes:

[0025] Based on a preset time period, obtain the battery expected power and corresponding initial transaction expectation issued by the cloud to the local energy management system.

[0026] The cloud platform generates the battery expected power and the initial transaction expectation for power scheduling of each energy storage device based on the historical electricity consumption data, current weather data and current electricity price of the local energy management system.

[0027] Optionally, the step of using the target power to perform power scheduling on each energy storage device corresponding to the photovoltaic-energy storage scenario includes:

[0028] The target power is distributed to the energy storage inverter, photovoltaic inverter, electricity meter, and each energy storage device corresponding to the photovoltaic-storage scenario, so as to schedule the battery power and photovoltaic power.

[0029] Secondly, this application provides a power dispatching device, applied to a local energy management system in a photovoltaic-storage scenario, comprising:

[0030] The control information acquisition module is used to acquire the battery expected power and the corresponding initial transaction expectation issued by the cloud to the local energy management system; the initial transaction expectation is to perform a power trading operation or not to perform the power trading operation, and the power trading operation is a power selling operation or a power purchasing operation.

[0031] The transaction expectation determination module is used to determine the target transaction expectation corresponding to the photovoltaic-storage scenario based on the matching relationship between the current electricity price and the preset high electricity price conditions, combined with the initial transaction expectation;

[0032] The power scheduling module is used to schedule the power of each energy storage device corresponding to the photovoltaic-storage scenario based on the matching relationship and the target transaction expectation, using the target power; the target power is the battery operating power corresponding to the target transaction expectation, determined according to the battery expected power and normal operating power; the normal operating power is the battery operating power when the local energy management system performs power scheduling without performing the power transaction operation.

[0033] Thirdly, this application provides an electronic device, comprising:

[0034] Memory, used to store computer programs;

[0035] A processor is used to execute the computer program to implement the power scheduling method described above.

[0036] Fourthly, this application provides a computer-readable storage medium for storing a computer program, which, when executed by a processor, implements the power scheduling method described above.

[0037] Therefore, this application can be applied to a local energy management system in a photovoltaic-storage scenario. First, it obtains the battery's expected power and corresponding initial transaction expectation issued by the cloud to the local energy management system. The initial transaction expectation is either to perform an electricity trading operation or not to perform the electricity trading operation, and the electricity trading operation is either an electricity sale operation or an electricity purchase operation. Then, based on the matching relationship between the current electricity price and a preset high electricity price condition, and combined with the initial transaction expectation, it determines the target transaction expectation corresponding to the photovoltaic-storage scenario. Afterwards, based on the matching relationship and the target transaction expectation, it uses the target power to schedule the power of each energy storage device corresponding to the photovoltaic-storage scenario. The target power is the battery operating power corresponding to the target transaction expectation, determined based on the battery's expected power and normal operating power. The normal operating power is the battery operating power when the local energy management system performs power scheduling without performing the electricity trading operation. In this way, the local energy management system can determine the target transaction expectation based on the battery expected power and initial transaction expectation sent from the cloud, combined with the current electricity price, and further utilize the corresponding target power for power dispatch. This can leverage the automatic power dispatch function of the cloud, optimize the power dispatch strategy related to the actual situation of the photovoltaic and energy storage scenario, and improve the user experience of end users in smart electricity pricing, time-of-use pricing and other scenarios through a more economical and real-time dispatch strategy. Attached Figure Description

[0038] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0039] Figure 1 This is a block diagram of a local energy management system for a photovoltaic-storage scenario disclosed in this application;

[0040] Figure 2 This is a flowchart of a power dispatching method disclosed in this application;

[0041] Figure 3 This is a flowchart of a specific power dispatching method disclosed in this application;

[0042] Figure 4 This is a flowchart of a specific power determination method disclosed in this application;

[0043] Figure 5 This is a flowchart of another specific power dispatching method disclosed in this application;

[0044] Figure 6This is a schematic diagram of the structure of a power dispatching device disclosed in this application;

[0045] Figure 7 This is a structural diagram of an electronic device disclosed in this application. Detailed Implementation

[0046] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0047] like Figure 1 The diagram illustrates a local energy management system (HEMS) for a photovoltaic (PV) and energy storage (SPES) scenario. The HEMS acts as an edge device (referred to as the local EMS) and establishes a communication connection with the cloud-based AI server. This HEMS can be a home energy management system (HEMS) for a residential PV / SPES scenario. The HEMS establishes communication connections with energy storage inverters, PV inverters, electricity meters, and other energy storage devices within the PV / SPES scenario. The energy storage inverters also establish communication connections with batteries, power connections with batteries, PV inverters, electricity meters, and other energy storage devices, and power connections between PV inverters and PV systems. The electricity meters also establish power connections with the external public power grid. In practice, cloud-based predictions often exhibit bias. These biases can lead to issues such as buying high and selling low, PV curtailment, and insufficient load coverage during peak periods, impacting end-user revenue. Furthermore, these prediction biases are frequent and cannot be optimized from the cloud-based algorithm perspective. In this scenario, the application can leverage the automatic scheduling function of the cloud to generate control data that meets long-term economic requirements. The local energy management system can then adjust the data sent from the cloud according to the actual working scenario to meet the actual power dispatch needs.

[0048] See Figure 2 As shown, this embodiment of the invention discloses a power dispatching method, applied to a local energy management system in a photovoltaic-storage scenario, comprising:

[0049] Step S11: Obtain the battery expected power and corresponding initial transaction expectation issued by the cloud to the energy management system; the initial transaction expectation is to perform a power trading operation or not to perform the power trading operation, and the power trading operation is a power selling operation or a power purchasing operation.

[0050] In this application, the local EMS device (i.e., the local energy management system) first obtains the battery's expected power and the corresponding initial transaction expectation from the cloud. Here, the battery's expected power is a power value issued by the cloud to control the battery's operating power in a photovoltaic-storage scenario; for example, a battery expected power of 3 kW indicates that the battery is expected to be in a discharging state with a discharging power of 3 kW; conversely, a battery expected power of -4 kW indicates that the battery is expected to be in a charging state with a charging power of 4 kW. Correspondingly, the initial transaction expectation is the transaction status of the local EMS device with the external public power grid issued by the cloud; for example, when the battery's expected power is 3 kW, the initial transaction expectation is to perform an electricity trading operation, specifically an electricity selling operation, meaning the cloud expects the local EMS device to sell electricity to the external power grid in exchange for revenue while the battery is discharging at 3 kW.

[0051] In one specific embodiment, obtaining the battery expected power and corresponding initial transaction expectations issued by the cloud to the local energy management system may include: obtaining the battery expected power and corresponding initial transaction expectations issued by the cloud to the local energy management system based on a preset time period; wherein, the cloud generates the battery expected power and the initial transaction expectations for power dispatching of each energy storage device based on the historical electricity consumption data, current weather data, and current electricity price of the local energy management system. Specifically, in the process of generating the battery expected power and initial transaction expectations, the cloud needs to refer to data such as the historical electricity consumption data, current weather data, and current electricity price of the local energy management system to generate control data that conforms to the power dispatching of the end user. It should be noted that the local energy management system can obtain the battery expected power and corresponding initial transaction expectations from the cloud according to a preset time period; for example, obtaining relevant control data at intervals of every minute or every ten seconds. The setting of the time period will affect the actual experience of the end user and can be freely set according to the actual situation.

[0052] Step S12: Based on the matching relationship between the current electricity price and the preset high electricity price conditions, and in conjunction with the initial transaction expectation, determine the target transaction expectation corresponding to the photovoltaic-storage scenario;

[0053] In this application, control data (expected battery power and corresponding initial transaction expectations) can be obtained from the cloud through the above steps. The local energy management system can then adjust the control data based on the actual operating status; specifically, it considers the matching relationship between the current electricity price and the preset high electricity price condition, and whether the initial transaction expectations maximize economic benefits for end users, to determine a suitable target transaction expectation. It should be noted that the preset high electricity price condition can be a condition set based on the average electricity price over a recent period; for example, if the current electricity price is higher than this average price, it is considered to meet the high electricity price condition. Alternatively, a certain electricity value can be set directly by relevant personnel, and if the current electricity price is higher than this value, it is considered to meet the high electricity price condition.

[0054] In one specific embodiment, determining the target transaction expectation corresponding to the photovoltaic-storage scenario based on the matching relationship between the current electricity price and the preset high electricity price condition, combined with the initial transaction expectation, may include: if the current electricity price meets the preset high electricity price condition, and the initial transaction expectation is to perform the electricity selling operation, then performing the electricity selling operation is determined as the target transaction expectation corresponding to the photovoltaic-storage scenario; if the current electricity price meets the preset high electricity price condition, and the initial transaction expectation is to perform the electricity purchasing operation, then not performing the electricity trading operation is determined as the target transaction expectation corresponding to the photovoltaic-storage scenario; if the current electricity price meets the preset high electricity price condition, and the initial transaction expectation is not to perform the electricity trading operation, then performing the electricity selling operation is determined as the target transaction expectation corresponding to the photovoltaic-storage scenario. Specifically, if the current electricity price meets the high electricity price condition, and the initial transaction expectation is to perform the electricity selling operation, this aligns with the principle of maximizing economic benefits for the end user, and thus the electricity selling operation can be determined as the target transaction expectation. It should be noted that in this case, it is necessary to ensure that the electricity purchasing operation is not performed, that is, to determine the electricity selling operation as the target transaction expectation while maintaining the normal operation of the photovoltaic-storage scenario. Furthermore, if the current electricity price meets the criteria for a high electricity price, but the initial trading expectation is to purchase electricity, this does not conform to the economic principles of end users, and purchases should be avoided as much as possible when electricity supply is high. An initial trading expectation of purchasing electricity indicates that the electricity supply in the photovoltaic-storage scenario needs to be replenished. In this case, not engaging in electricity trading can be set as the target trading expectation to achieve self-sufficiency through internal electricity scheduling and maintain economic efficiency. Going further, if the current electricity price meets the criteria for a high electricity price, and the initial trading expectation is not to engage in electricity trading, it indicates that the cloud believes the electricity reserves in the photovoltaic-storage scenario are self-sufficient. In this case, to maintain economic efficiency, selling electricity can be set as the target trading expectation.

[0055] In another specific embodiment, determining the target transaction expectation corresponding to the photovoltaic-storage scenario based on the matching relationship between the current electricity price and the preset high electricity price condition, combined with the initial transaction expectation, includes: if the current electricity price does not meet the preset high electricity price condition, and the initial transaction expectation is to perform the electricity sales operation, then not performing the electricity purchase operation is determined as the target transaction expectation corresponding to the photovoltaic-storage scenario; if the current electricity price does not meet the preset high electricity price condition, and the initial transaction expectation is to perform the electricity purchase operation, then not performing the electricity transaction operation is determined as the target transaction expectation corresponding to the photovoltaic-storage scenario; if the current electricity price does not meet the preset high electricity price condition, and the initial transaction expectation is not to perform the electricity transaction operation, then not performing the electricity transaction operation is determined as the target transaction expectation corresponding to the photovoltaic-storage scenario. Specifically, when the current electricity price does not meet the conditions for a high electricity price (i.e., the current electricity price can be considered a low or flat price), there is no need to sell electricity. Furthermore, if the initial trading expectation is to sell electricity, to maintain economic efficiency, electricity can be stored in batteries without selling it, and then sold when the current electricity price meets the conditions for a high price, or the electricity can be sold directly to generate revenue. In other words, if the initial trading expectation is to sell electricity, to maintain economic efficiency, not purchasing electricity can be defined as the target trading expectation, indicating whether or not to execute an electricity sale. Correspondingly, if the initial trading expectation is to purchase electricity, not executing an electricity sale can also be defined as the target trading expectation to maintain economic efficiency. Furthermore, if the initial trading expectation is not to execute an electricity sale, no electricity sale can be performed to maintain economic efficiency; that is, the target trading expectation is not to execute an electricity sale.

[0056] Step S13: Based on the matching relationship and the target transaction expectation, the power of each energy storage device corresponding to the photovoltaic-storage scenario is scheduled using the target power; the target power is the battery operating power corresponding to the target transaction expectation, determined according to the battery expected power and normal operating power; the normal operating power is the battery operating power when the local energy management system performs power scheduling without performing the power transaction operation.

[0057] In this embodiment, the local energy management system can determine a suitable target transaction expectation based on the matching relationship between the current electricity price and the preset high electricity price condition, as well as the corresponding initial transaction expectation, through the above steps. Furthermore, there may be a discrepancy between the battery's operating power and the battery's expected power corresponding to the target transaction expectation. In this case, the relationship between the battery's expected power and its normal operating power can be considered to determine a target power that matches the target transaction expectation. Then, power scheduling is performed on each energy storage device corresponding to the photovoltaic-storage scenario based on the target transaction expectation and the target power. It should be noted that the battery's normal operating power is the battery's operating efficiency when the local energy management system performs power scheduling without performing power trading operations.

[0058] In one specific embodiment, the step of scheduling power for each energy storage device corresponding to the photovoltaic-storage scenario based on the matching relationship and the target transaction expectation using the target power may include: if the matching relationship indicates that the current electricity price meets the preset high electricity price condition, and the target transaction expectation is to perform the electricity sales operation, then the larger of the battery expected power and the normal operating power is determined as the target power, and the target power is used to schedule power for each energy storage device corresponding to the photovoltaic-storage scenario; if the matching relationship indicates that the current electricity price meets the preset high electricity price condition, and the target transaction expectation is not to perform the electricity sales operation, then the normal operating power is determined as the target power, and the target power is used to schedule power for each energy storage device corresponding to the photovoltaic-storage scenario. Specifically, if the current electricity price meets the high electricity price condition, and the target transaction expectation is to perform the electricity sales operation, then it is necessary to sell the electricity to the external public grid as much as possible. The larger of the battery expected power and the normal operating power can be used as the target power to maximize electricity sales and obtain the maximum economic benefits. It should be noted that when selling electricity, priority is given to selling photovoltaic (PV) power. This ensures that electricity is not purchased from the grid, and the higher of the battery's expected power and normal operating power is used as the target power to maximize economic benefits. Furthermore, if the target transaction expectation is not to conduct any electricity trading operations, then only normal power dispatching in the PV-storage scenario needs to be maintained. In this case, the normal operating power can be determined as the target power to dispatch power to the various energy storage devices corresponding to the PV-storage scenario.

[0059] In another specific embodiment, the step of scheduling power for each energy storage device corresponding to the photovoltaic-storage scenario based on the matching relationship and the target transaction expectation using the target power may include: if the matching relationship indicates that the current electricity price does not meet the preset high electricity price condition, and the target transaction expectation is not to perform the electricity purchase operation, then the battery expected power is determined as the target power, and the target power is used to schedule power for each energy storage device corresponding to the photovoltaic-storage scenario; if the matching relationship indicates that the current electricity price does not meet the preset high electricity price condition, the target transaction expectation is not to perform the electricity transaction operation, and the battery expected power indicates that the battery is in a charging state, then the smaller of the normal operating power and the first power is determined as the target power, and the target power is used to schedule power for each energy storage device corresponding to the photovoltaic-storage scenario; the value of the first power is zero; if the matching relationship indicates that the current electricity price does not meet the preset high electricity price condition, the target transaction expectation is not to perform the electricity transaction operation, and the battery expected power indicates that the battery is in a discharging state, then the normal operating power is determined as the target power, and the target power is used to schedule power for each energy storage device corresponding to the photovoltaic-storage scenario. Specifically, when the current electricity price does not meet the conditions for a high electricity price, if the target transaction expectation is not to purchase electricity, it means that no electricity transaction operation can be performed, or an electricity sale operation can be performed. If the electricity price is low, to maintain economic viability, priority can be given to storing photovoltaic (PV) electricity. In this case, whether or not an electricity sale operation is performed, it is economically viable. In this situation, the expected battery power can be directly used as the target power, and the cloud can control the electricity scheduling of the PV-storage scenario. Furthermore, if the target transaction expectation is not to perform an electricity transaction operation, and the expected battery power indicates that the battery is in a charging state, the corresponding initial transaction expectation is also not to perform an electricity transaction operation. In this case, the expected battery power is negative, indicating that there is excess photovoltaic power that needs to be stored in the battery. The expected battery power in this case should be the same as the normal operating power, both indicating that the battery should be in a charging state. In this case, photovoltaic electricity should be stored in the battery first, and it should not be discharged even if it is not charged. In this case, the battery's operating power should be less than zero and within the power range corresponding to the normal operating power, for example... , This represents the normal operating power, and the battery's expected power is also within this range. In other words, in this case, the smaller value between the normal operating power (which is the same as the battery's expected power) and the zero power value can be used as the target power to schedule the power of each energy storage device in the photovoltaic-energy storage scenario. Furthermore, if the target trading expectation is not to perform any power trading operation, and the battery's expected power indicates that the battery is in a discharging state, the corresponding initial trading expectation is also not to perform any power trading operation. To maintain economic efficiency, the photovoltaic power is prioritized for storage and self-use. In this case, when no power trading operation is performed, from the perspective of power scheduling control, the normal operating power can be considered as the target power to schedule the power of each energy storage device in the photovoltaic-energy storage scenario.

[0060] In another specific embodiment, the power dispatching of each energy storage device corresponding to the photovoltaic-storage scenario using the target power may include: distributing the target power to the energy storage inverter, photovoltaic inverter, electricity meter, and each energy storage device corresponding to the photovoltaic-storage scenario to dispatch battery power and photovoltaic power. Specifically, during the power dispatching process, the local energy management system can distribute the target power to the energy storage inverter, photovoltaic inverter, electricity meter, and each energy storage device corresponding to the photovoltaic-storage scenario, and realize power dispatching of the photovoltaic-storage scenario by changing the working state of each device.

[0061] Therefore, in this application, the local energy management system can determine the target transaction expectation based on the battery expected power and initial transaction expectation sent from the cloud, combined with the current electricity price, and further utilize the corresponding target power for power dispatch. This can leverage the automatic power dispatch function of the cloud, optimize the power dispatch strategy related to the actual situation of the photovoltaic and energy storage scenario, and improve the user experience of end users in smart electricity pricing, time-of-use pricing and other scenarios through a more economical and real-time dispatch strategy.

[0062] like Figure 3 As shown in the figure, this embodiment discloses a flowchart of a power scheduling method, which specifically includes:

[0063] It should be noted that before the cloud sends the battery expected power and initial transaction expectation to the local energy management system (referred to as the local EMS device) in the photovoltaic-storage scenario, the end user or relevant personnel can configure the operating parameters of the local EMS device based on grid requirements, electricity price information, equipment usage, and other information. Furthermore, the cloud AI can generate control commands that meet the power dispatch requirements preset by the end user based on previously recorded historical electricity consumption data, current weather conditions, electricity price data, and other data; these control commands include the battery expected power and initial transaction expectation. The cloud then sends the control commands to the local EMS device. The local EMS device can then modify the control commands sent by the cloud AI based on the current operating conditions of the system, such as actual electricity price data and the economic benefits of power dispatch, according to the edge algorithm (i.e., the algorithm preset in the local EMS device in the photovoltaic-storage scenario); and then send the modified control commands to the specific devices. It is understood that the specific devices here refer to the inverters and other electrical equipment in the local EMS device; after receiving the modified control commands from the local EMS device, these devices can complete the change in their operating state and realize power dispatch.

[0064] Furthermore, in specific embodiments, such as Figure 4 The diagram shows a flowchart of a power determination method, wherein... This refers to the sampling power of the local EMS equipment at the electricity meter on the grid side. This refers to the current battery power of the local EMS device. , These are the maximum charging power and maximum discharging power of the local EMS device battery, respectively. This refers to the battery's operating power when the local EMS device is not performing power trading operations. Specifically, under the current operating conditions, assuming the local EMS device aims to achieve "no power trading operations (equivalent to controlling the meter's power target)..." =0), which allows us to infer the battery's power at that moment. =0- + When it is necessary to control the execution of electricity purchase operations (under low electricity price conditions), it is only necessary to ensure that the battery power does not exceed the calculated battery power (<= When it is necessary to control the execution of power sales operations (under high electricity price conditions), it is only necessary to ensure that the battery power is not lower than the calculated battery power (>= When it is desired to achieve a state where no power trading operation is required, it is only necessary to ensure that the battery power is equal to the calculated battery power (= ).

[0065] Understandably, the above power determination process needs to be combined with specific electricity prices, and under different electricity prices, it is necessary to control the grid's purchase or sale of electricity. A detailed flowchart of the power dispatching method is shown below. Figure 5 As shown. It should be noted that, It refers to the power control value (i.e., target power) of the battery after collaboration between the cloud and edge (HEMS). This is for cloud-based AI to control the battery's power output (desired battery power). Furthermore, based on... Figure 5 The power allocation situation can be summarized as follows:

[0066] (1) The initial transaction expectation is to control the power purchase operation: when the control local EMS device performs the power purchase operation, within the normal operating range that ensures the local EMS device does not perform the power purchase operation ( Within the corresponding operating power range, it can be controlled by cloud AI commands ( Control; if the control value of the cloud AI command exceeds this range, then... Execution, therefore, manifests here as .

[0067] (2) Initial transaction expectation is to control the sale of electricity during a period of high electricity price: When controlling the sale of electricity during a period of high electricity price, in order to maintain economic efficiency, photovoltaic energy can be sold to the grid first to obtain the maximum benefit. At this time, the local EMS equipment will be controlled according to the cloud AI command within the range of ensuring that no electricity purchase operation is performed. When the cloud AI command control value is lower than this range, it will be controlled according to the cloud AI command. Execution, therefore, manifests here as = .

[0068] (3) Initial transaction expectation is to control the sale of electricity during periods of low or flat electricity prices: When controlling the sale of electricity during periods of non-high electricity prices, in order to maintain economic efficiency, priority can be given to self-use or storage of photovoltaic energy. At this time, the local EMS equipment can ensure control according to the cloud AI instructions as much as possible. Because the electricity price is low, it is still economical to not perform the sale of electricity at this time. Therefore, it is manifested here as .

[0069] (4) Initial transaction expectation is to control the non-operation of electricity trading and during periods of high electricity price: When controlling the non-operation of electricity trading and during periods of high electricity price, in order to maintain economic efficiency, priority is given to selling photovoltaic energy to the grid to obtain maximum revenue. At this time, the local EMS equipment ensures that no electricity trading is performed within the range (the range is a point). The system is controlled by cloud-based AI commands (in reality, the AI ​​commands no longer control the battery; the local EMS device calculates the value). (effective), therefore it is represented here as .

[0070] (5) The initial transaction expectation is to control the non-operation of electricity trading while the electricity price is low or flat and the AI ​​controls battery charging: When controlling the non-operation of electricity trading while the electricity price is not high, in order to maintain economic efficiency, the photovoltaic energy is prioritized for self-use or storage. At this time, when the cloud AI command controls battery charging, the local EMS equipment controls according to the AI ​​command within the range of ensuring that no electricity trading operation is performed and the battery cannot be discharged (here the AI ​​command is charging, and the local EMS equipment can consider the electricity price under the premise of not discharging. At this time, the electricity price is low or flat, and self-use is preferred for charging). Therefore, it is manifested in this way as .

[0071] (6) The initial transaction expectation is to control the non-operation of electricity trading while the electricity price is low or flat and the cloud AI command controls the battery not to charge: When the control does not operate electricity trading while the electricity price is not high, in order to maintain economic efficiency, the photovoltaic energy is prioritized for self-use or storage. At this time, the local EMS equipment ensures that no electricity trading operation is performed (the range is a point). The system is controlled by cloud-based AI commands (in reality, the AI ​​commands no longer control the battery; the local calculation value of the local EMS device is used here). (effective), therefore it is represented here as .

[0072] Therefore, in this application, the local EMS device can determine the target transaction expectation based on the battery expected power and initial transaction expectation sent from the cloud, combined with the current electricity price, and further utilize the corresponding target power for power scheduling. This can leverage the automatic power scheduling function of the cloud, generate more economical and accurate control data based on the actual situation of the photovoltaic-storage scenario, optimize the scheduling strategy related to power scheduling, maintain the long-term economic efficiency of cloud control through a more economical and real-time scheduling strategy, and avoid power scheduling anomalies caused by cloud prediction deviations. This can improve the user experience of end users in scenarios such as smart electricity pricing and time-of-use pricing.

[0073] like Figure 6 As shown, this embodiment discloses a power dispatching device applied to a local energy management system in a photovoltaic-storage scenario, comprising:

[0074] The control information acquisition module 11 is used to acquire the battery expected power and the corresponding initial transaction expectation issued by the cloud to the local energy management system; the initial transaction expectation is to perform a power trading operation or not to perform the power trading operation, and the power trading operation is a power selling operation or a power purchasing operation.

[0075] The transaction expectation determination module 12 is used to determine the target transaction expectation corresponding to the photovoltaic-storage scenario based on the matching relationship between the current electricity price and the preset high electricity price conditions, combined with the initial transaction expectation;

[0076] The power scheduling module 13 is used to schedule the power of each energy storage device corresponding to the photovoltaic-storage scenario based on the matching relationship and the target transaction expectation, using the target power; the target power is the battery operating power corresponding to the target transaction expectation, determined according to the battery expected power and normal operating power; the normal operating power is the battery operating power when the local energy management system performs power scheduling without performing the power transaction operation.

[0077] Therefore, the local energy management system in this application can determine the target transaction expectation based on the battery expected power and initial transaction expectation sent from the cloud, combined with the current electricity price, and further utilize the corresponding target power for power dispatch. This can leverage the automatic power dispatch function of the cloud, optimize the power dispatch strategy related to the actual situation of the photovoltaic and energy storage scenario, and improve the user experience of end users in smart electricity pricing, time-of-use pricing and other scenarios through a more economical and real-time dispatch strategy.

[0078] In one specific embodiment, the transaction expectation determination module 12 may include:

[0079] The first transaction expectation determination unit is used to determine the electricity selling operation as the target transaction expectation corresponding to the photovoltaic-storage scenario when the current electricity price meets the preset high electricity price condition and the initial transaction expectation is to perform the electricity selling operation.

[0080] The second transaction expectation determination unit is used to determine the non-operation of the electricity transaction as the target transaction expectation corresponding to the photovoltaic-storage scenario when the current electricity price meets the preset high electricity price condition and the initial transaction expectation is to perform the electricity purchase operation.

[0081] The third transaction expectation determination unit is used to determine the electricity selling operation as the target transaction expectation corresponding to the photovoltaic-storage scenario when the current electricity price meets the preset high electricity price condition and the initial transaction expectation is not to perform the electricity trading operation.

[0082] In another specific embodiment, the transaction expectation determination module 12 includes:

[0083] The fourth transaction expectation determination unit is used to determine the non-purchase of electricity as the target transaction expectation corresponding to the photovoltaic-storage scenario when the current electricity price does not meet the preset high electricity price conditions and the initial transaction expectation is to perform the electricity sale operation.

[0084] The fifth transaction expectation determination unit is used to determine the non-operation of the electricity transaction as the target transaction expectation corresponding to the photovoltaic-storage scenario when the current electricity price does not meet the preset high electricity price conditions and the initial transaction expectation is to perform the electricity purchase operation.

[0085] The sixth transaction expectation determination unit is used to determine the absence of the electricity transaction operation as the target transaction expectation corresponding to the photovoltaic-storage scenario when the current electricity price does not meet the preset high electricity price condition and the initial transaction expectation is not to perform the electricity transaction operation.

[0086] In one specific embodiment, the power scheduling module 13 may include:

[0087] The first power scheduling unit is used to determine the larger of the battery's expected power and the normal operating power as the target power when the matching relationship indicates that the current electricity price meets the preset high electricity price condition and the target transaction expectation is to perform the electricity selling operation, and to use the target power to schedule the power of each energy storage device corresponding to the photovoltaic-storage scenario.

[0088] The second power scheduling unit is used to determine the normal operating power as the target power when the matching relationship indicates that the current electricity price meets the preset high electricity price condition and the target transaction expectation is not to perform the power transaction operation, and to use the target power to schedule the power of each energy storage device corresponding to the photovoltaic-storage scenario.

[0089] In another specific embodiment, the power scheduling module 13 may include:

[0090] The third power scheduling unit is used to determine the battery expected power as the target power when the matching relationship indicates that the current electricity price does not meet the preset high electricity price condition and the target transaction expectation is not to perform the power purchase operation, and to use the target power to schedule the power of each energy storage device corresponding to the photovoltaic-storage scenario.

[0091] The fourth power scheduling unit is used to determine the smaller of the normal operating power and the first power as the target power when the matching relationship indicates that the current electricity price does not meet the preset high electricity price condition, the target transaction expectation is not to perform the power transaction operation, and the battery expected power indicates that the battery is in a charging state, and to use the target power to perform power scheduling on each energy storage device corresponding to the photovoltaic-storage scenario; the value of the first power is zero.

[0092] The fifth power scheduling unit is used to determine the normal operating power as the target power when the matching relationship indicates that the current electricity price does not meet the preset high electricity price condition, the target transaction expectation is not to perform the power transaction operation, and the battery expected power indicates that the battery is in a discharging state, and to use the target power to perform power scheduling on each energy storage device corresponding to the photovoltaic-storage scenario.

[0093] In one specific embodiment, the control information acquisition module 11 may include:

[0094] The control information acquisition unit is used to acquire the battery expected power and the corresponding initial transaction expectation issued by the cloud to the local energy management system based on a preset time period; wherein, the cloud generates the battery expected power and the initial transaction expectation for power scheduling of each energy storage device based on the historical electricity consumption data, current weather data and the current electricity price of the local energy management system.

[0095] In one specific embodiment, the power scheduling module 13 may include:

[0096] The power dispatching unit is used to send the target power to the energy storage inverter, photovoltaic inverter, electricity meter, and each energy storage device corresponding to the photovoltaic-storage scenario, so as to dispatch the battery power and photovoltaic power.

[0097] Furthermore, embodiments of this application also disclose an electronic device, Figure 7 This is a structural diagram of an electronic device 20 according to an exemplary embodiment. The content of the diagram should not be construed as limiting the scope of this application.

[0098] Figure 7 This is a schematic diagram of the structure of an electronic device 20 provided in an embodiment of this application. Specifically, the electronic device 20 may include: at least one processor 21, at least one memory 22, a power supply 23, a communication interface 24, an input / output interface 25, and a communication bus 26. The memory 22 stores a computer program, which is loaded and executed by the processor 21 to implement the relevant steps in the power scheduling method disclosed in any of the foregoing embodiments. Furthermore, the electronic device 20 in this embodiment may specifically be an electronic computer.

[0099] In this embodiment, the power supply 23 is used to provide operating voltage for each hardware device on the electronic device 20; the communication interface 24 can create a data transmission channel between the electronic device 20 and external devices, and the communication protocol it follows can be any communication protocol applicable to the technical solution of this application, and is not specifically limited here; the input / output interface 25 is used to acquire external input data or output data to the outside world, and its specific interface type can be selected according to specific application needs, and is not specifically limited here.

[0100] In addition, the memory 22, as a carrier for resource storage, can be a read-only memory, random access memory, disk or optical disk, etc. The resources stored thereon can include operating system 221, computer program 222, etc., and the storage method can be temporary storage or permanent storage.

[0101] The operating system 221 is used to manage and control the various hardware devices on the electronic device 20 and the computer program 222, which may be Windows Server, Netware, Unix, Linux, etc. In addition to including a computer program capable of performing the power scheduling method executed by the electronic device 20 as disclosed in any of the foregoing embodiments, the computer program 222 may further include a computer program capable of performing other specific tasks.

[0102] Furthermore, this application also discloses a computer-readable storage medium for storing a computer program; wherein, when the computer program is executed by a processor, it implements the aforementioned power scheduling method. Specific steps of this method can be found in the corresponding content disclosed in the foregoing embodiments, and will not be repeated here.

[0103] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the apparatus disclosed in the embodiments, since it corresponds to the method disclosed in the embodiments, the description is relatively simple; relevant parts can be referred to in the method section.

[0104] Those skilled in the art will further recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0105] The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein can be implemented directly by hardware, a software module executed by a processor, or a combination of both. The software module can be located in random access memory (RAM), main memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the art.

[0106] Finally, it should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0107] The technical solutions provided in this application have been described in detail above. Specific examples have been used to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only intended to help understand the methods and core ideas of this application. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of this application. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A power dispatching method, characterized by, The local end energy management system applied to the light storage scene comprises: acquiring a battery expected power and a corresponding initial transaction expectation issued by a cloud end for the local end energy management system; the initial transaction expectation is to perform an electricity transaction operation or not to perform the electricity transaction operation, and the electricity transaction operation is an electricity selling operation or an electricity buying operation; determining a target transaction expectation corresponding to the light storage scene according to a matching relationship between a current electricity price and a preset high electricity price condition and in combination with the initial transaction expectation; performing electricity scheduling on each energy storage device corresponding to the light storage scene by using a target power based on the matching relationship and the target transaction expectation; the target power is a battery working power corresponding to the target transaction expectation and determined according to the battery expected power and a normal working power; the normal working power is a battery working power when the local end energy management system performs electricity scheduling without performing the electricity transaction operation.

2. The power dispatching method of claim 1, wherein, The determining of the target transaction expectation corresponding to the light storage scene according to the matching relationship between the current electricity price and the preset high electricity price condition and in combination with the initial transaction expectation comprises: if the current electricity price meets the preset high electricity price condition and the initial transaction expectation is to perform the electricity selling operation, performing the electricity selling operation is determined as the target transaction expectation corresponding to the light storage scene; if the current electricity price meets the preset high electricity price condition and the initial transaction expectation is to perform the electricity buying operation, not performing the electricity transaction operation is determined as the target transaction expectation corresponding to the light storage scene; if the current electricity price meets the preset high electricity price condition and the initial transaction expectation is not to perform the electricity transaction operation, performing the electricity selling operation is determined as the target transaction expectation corresponding to the light storage scene.

3. The power dispatching method of claim 1, wherein, The determining of the target transaction expectation corresponding to the light storage scene according to the matching relationship between the current electricity price and the preset high electricity price condition and in combination with the initial transaction expectation comprises: if the current electricity price does not meet the preset high electricity price condition and the initial transaction expectation is to perform the electricity selling operation, not performing the electricity buying operation is determined as the target transaction expectation corresponding to the light storage scene; if the current electricity price does not meet the preset high electricity price condition and the initial transaction expectation is to perform the electricity buying operation, not performing the electricity transaction operation is determined as the target transaction expectation corresponding to the light storage scene; if the current electricity price does not meet the preset high electricity price condition and the initial transaction expectation is not to perform the electricity transaction operation, not performing the electricity transaction operation is determined as the target transaction expectation corresponding to the light storage scene.

4. The power dispatching method of claim 2, wherein, The performing of the electricity scheduling on each energy storage device corresponding to the light storage scene by using the target power based on the matching relationship and the target transaction expectation comprises: if the matching relationship indicates that the current electricity price meets the preset high electricity price condition and the target transaction expectation is to perform the electricity selling operation, a larger power between the battery expected power and the normal working power is determined as the target power, and the electricity scheduling is performed on each energy storage device corresponding to the light storage scene by using the target power; If the matching relationship represents that the current electricity price meets the preset high electricity price condition, and the target transaction expectation is not to perform the electricity transaction operation, the normal working power is determined as the target power, and the target power is used to perform electricity scheduling on each energy storage device corresponding to the light storage scene.

5. The power dispatching method of claim 3, wherein, The electricity scheduling on each energy storage device corresponding to the light storage scene by using the target power based on the matching relationship and the target transaction expectation comprises: If the matching relationship represents that the current electricity price does not meet the preset high electricity price condition, and the target transaction expectation is not to perform the electricity purchase operation, the battery expected power is determined as the target power, and the target power is used to perform electricity scheduling on each energy storage device corresponding to the light storage scene. If the matching relationship represents that the current electricity price does not meet the preset high electricity price condition, the target transaction expectation is not to perform the electricity transaction operation, and the battery expected power represents that the battery is in a charging state, the smaller power between the normal working power and a first power is determined as the target power, and the target power is used to perform electricity scheduling on each energy storage device corresponding to the light storage scene; the value of the first power is zero. If the matching relationship represents that the current electricity price does not meet the preset high electricity price condition, the target transaction expectation is not to perform the electricity transaction operation, and the battery expected power represents that the battery is in a discharging state, the normal working power is determined as the target power, and the target power is used to perform electricity scheduling on each energy storage device corresponding to the light storage scene.

6. The power dispatching method according to any one of claims 1 to 5, characterized in that, The battery expected power and the corresponding initial transaction expectation issued by the cloud end for the local end energy management system are obtained, comprising: The battery expected power and the corresponding initial transaction expectation issued by the cloud end for the local end energy management system are obtained based on a preset time period; The cloud end generates the battery expected power and the initial transaction expectation for performing electricity scheduling on each energy storage device based on historical electricity consumption data of the local end energy management system, current weather data and the current electricity price.

7. The power dispatching method according to any one of claims 1 to 5, characterized in that, The electricity scheduling on each energy storage device corresponding to the light storage scene by using the target power comprises: The target power is issued to an energy storage inverter, a photovoltaic inverter, an electric meter and each energy storage device corresponding to the light storage scene, so as to schedule battery electricity and photovoltaic electricity.

8. A power dispatching device, characterized by comprising: A local end energy management system applied to a light storage scene, comprising: A control information obtaining module is configured to obtain battery expected power and corresponding initial transaction expectation issued by a cloud end for the local end energy management system; the initial transaction expectation is to perform an electricity transaction operation or not to perform the electricity transaction operation, and the electricity transaction operation is an electricity selling operation or an electricity purchasing operation; A transaction expectation determining module is configured to determine a target transaction expectation corresponding to the light storage scene according to a matching relationship between a current electricity price and a preset high electricity price condition, and in combination with the initial transaction expectation. The power scheduling module is configured to perform power scheduling on each energy storage device corresponding to the optical storage scene by using target power based on the matching relationship and the target transaction expectation; the target power is a battery working power corresponding to the target transaction expectation, which is determined according to the battery expected power and a normal working power; the normal working power is a battery working power of the local energy management system when the local energy management system performs power scheduling without the power transaction operation.

9. An electronic device, comprising: The application further provides a computer program product comprising a computer program for implementing the power scheduling method according to any one of claims 1 to 7 when the computer program is executed by a processor. The application further provides a computer program product comprising a computer program for implementing the power scheduling method according to any one of claims 1 to 7 when the computer program is executed by a processor. The application further provides a computer program product comprising a computer program for implementing the power scheduling method according to any one of claims 1 to 7 when the computer program is executed by a processor.

10. A computer-readable storage medium, characterized in that, ​

Images