Light storage and charging integrated charging control method and light storage and charging micro-grid system
Through the integrated charging control method of optical storage and charging, the energy management system and central control system are used to generate and execute energy scheduling strategies based on electricity price changes and SOC status, and the charging peak and valley problem between the optical storage system and the distribution network is solved. More efficient charging control is achieved, reducing the power supply pressure of the distribution network and improving economic benefits.
Patent Information
- Application Number
- CN202311869162.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2023-12-29
- Publication Date
- 2024-12-20
AI Technical Summary
There is a contradiction between the peak and valley charging time period between the existing optical storage system and the distribution network, which leads to an increase in the power supply pressure of the distribution network and a decrease in economic benefits, which requires a reduction in the power supply pressure and an improvement in economic benefits.
The charging control method of integrated optical storage and charging is adopted to receive the electricity price changes in the distribution network and the SOC status of the optical storage system through the energy management system, and generate and send energy scheduling strategies. The central control system controls the charging operation according to the strategy, including the distribution network toward the optical Recharge the storage system or optical storage system.
It improves the accuracy of charging control, reduces the power supply pressure of the distribution network, and improves the economic benefits of the distribution network.
Smart Images

Figure CN119171476A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of photoelectric energy storage and charging, and in particular to a photoelectric energy storage and charging integrated charging control method and a photoelectric energy storage and charging microgrid system. Background Art
[0002] With the development of requirements for traffic emission reduction, energy emission reduction, industrial emission reduction, and production emission reduction, it has become increasingly common to use electricity supplied by photovoltaic energy storage systems to power distribution networks.
[0003] However, there is a certain contradiction between the charging peak and valley time periods of the existing photovoltaic storage system and the distribution network. For example, the charging is in the valley period when the sun rises, and the charging peak period begins when the sun sets, which easily increases the power supply pressure of the distribution network. Furthermore, since the charging peak and valley time periods are positively correlated with the electricity price, if the conventional generator sets of the distribution network (conventional generator sets are generator sets other than photovoltaic power generation) are used to supply power during the charging peak period, it is easy to reduce the economic benefits of the distribution network. It can be seen that it is particularly important to propose a technical solution that reduces the power supply pressure of the distribution network while improving the economic benefits of the distribution network. Summary of the invention
[0004] The present invention provides a photovoltaic-storage-charging integrated charging control method and a photovoltaic-storage-charging microgrid system, which can improve the accuracy of charging control, help reduce the power supply pressure of the distribution network system and improve the economic benefits of the distribution network system.
[0005] In order to solve the above technical problems, the first aspect of the present invention discloses a charging control method for integrated photovoltaic storage and charging, which is applied to a photovoltaic storage and charging microgrid system, wherein the photovoltaic storage and charging microgrid system at least includes an energy management system and a central control system, and the method includes:
[0006] The energy management system receives the electricity price change of the distribution network system and the SOC state set of the photovoltaic storage system;
[0007] The energy management system generates an energy scheduling strategy set according to the electricity price change and the SOC state set;
[0008] The energy management system sends the energy scheduling strategy set to the central control system;
[0009] The central control system receives the energy scheduling strategy set, and controls the distribution network system and / or the photovoltaic storage system to perform charging operations according to the energy scheduling strategy set, wherein the charging operations include the operation of the distribution network system charging the photovoltaic storage system and / or the operation of the photovoltaic storage system charging the distribution network system.
[0010] As an optional implementation, in the first aspect of the present invention, the electricity price change includes one or more electricity prices and the time at which each of the electricity prices is located;
[0011] Furthermore, the energy management system generates an energy scheduling strategy set according to the electricity price change and the SOC state set, including:
[0012] The energy management system analyzes a set of charging preferential strategies corresponding to the electricity price changes according to the electricity price changes;
[0013] The energy management system analyzes a charging demand set corresponding to the SOC state set according to the SOC state set;
[0014] The energy management system generates an energy scheduling strategy set according to the charging demand set and the charging preferential strategy set.
[0015] As an optional implementation manner, in the first aspect of the present invention, the energy management system analyzes a set of charging preferential strategies corresponding to the electricity price changes according to the electricity price changes, including:
[0016] The energy management system groups the electricity price changes according to the electricity price changes to obtain a grouping result of the electricity price changes, the grouping result including a first duration group, a second duration group, and a third duration group, wherein the first duration group is empty or all electricity prices included in the first duration group are less than or equal to a first preset electricity price, the second duration group is empty or all electricity prices included in the second duration group are greater than or equal to a second preset electricity price, the third duration group is empty or all electricity prices included in the third duration group are greater than the first preset electricity price and less than the second preset electricity price, wherein the first preset electricity price is less than the second preset electricity price, and the first duration group, the second duration group, and the third duration group are not empty at the same time;
[0017] The energy management system analyzes the charging preferential strategy corresponding to each duration group according to all electricity prices included in each duration group included in the grouping result.
[0018] As an optional implementation, in the first aspect of the present invention, the photovoltaic storage and charging microgrid system further includes a photovoltaic power generation system;
[0019] Furthermore, the energy management system analyzes the charging preferential strategy corresponding to each duration group according to all electricity prices included in each duration group included in the grouping result, including:
[0020] The energy management system predicts the power generation situation of the photovoltaic power generation system in each time group according to each time group included in the grouping result, and obtains the predicted power generation situation corresponding to each time group;
[0021] The energy management system analyzes the charging preferential strategy corresponding to each of the duration groups according to all electricity prices included in each of the duration groups included in the grouping results and the predicted power generation situation corresponding to each of the duration groups.
[0022] As an optional implementation manner, in the first aspect of the present invention, the energy management system analyzes the charging demand set corresponding to the SOC state set according to the SOC state set, including:
[0023] The energy management system groups all the SOC states according to the SOC states at one or more collection moments included in the SOC state set to obtain one or more SOC state groups, each of the SOC states has a corresponding collection time period, and each of the collection time periods includes at least one of the collection moments, and each of the SOC states includes the SOC states at all the collection moments included in the collection time period corresponding to the SOC state;
[0024] The energy management system analyzes the charging demand corresponding to each of the SOC state groups according to all SOC states included in each of the SOC state groups, wherein the charging demand includes the charging demand of the photovoltaic storage system and / or the charging demand of the distribution network system;
[0025] The charging requirement set includes the charging requirements corresponding to the SOC states of all the duration groups.
[0026] As an optional implementation, in the first aspect of the present invention, the central control system controls the distribution network system and / or the photovoltaic storage system to perform a charging operation according to the energy scheduling strategy set, including:
[0027] The central control system generates an energy scheduling instruction set matching the energy scheduling strategy set according to the energy scheduling strategy set, wherein the energy scheduling instruction set includes a first type of energy scheduling instruction for the photovoltaic storage system and / or a second type of energy scheduling instruction for the distribution network system;
[0028] The central control system controls the photovoltaic storage system and / or the distribution network system to perform charging operations according to the energy scheduling instruction set.
[0029] As an optional implementation, in the first aspect of the present invention, the central control system controls the photovoltaic storage system and / or the distribution network system to perform a charging operation according to the energy scheduling instruction set, including:
[0030] When the energy scheduling instruction set includes a first type of energy scheduling instruction for the photovoltaic storage system, the central control system sends the first type of energy scheduling instruction to the photovoltaic storage system, triggering the photovoltaic storage system to perform a charging operation matching the first type of energy scheduling instruction after receiving the first type of energy scheduling instruction;
[0031] When the energy scheduling instruction set includes a second type of energy scheduling instruction for the distribution network system, the central control system sends the second type of energy scheduling instruction to the distribution network system, triggering the distribution network system to perform a charging operation matching the second type of energy scheduling instruction after receiving the second type of energy scheduling instruction.
[0032] The second aspect of the present invention discloses a photovoltaic storage and charging microgrid system, which includes at least an energy management system and a central control system, wherein the energy management system includes a first receiving module, a generating module and a first sending module, and the central control system includes a second receiving module and a control module, wherein:
[0033] The first receiving module is used to receive the electricity price change of the distribution network system and the SOC state set of the photovoltaic storage system;
[0034] The generating module is used to generate an energy scheduling strategy set according to the electricity price change and the SOC state set;
[0035] The first sending module is used to send the energy scheduling strategy set to the second receiving module;
[0036] The second receiving module is used to receive the energy scheduling strategy set;
[0037] The control module is used to control the distribution network system and / or the photovoltaic storage system to perform charging operations according to the energy scheduling strategy set received by the second receiving module. The charging operations include the operation of the distribution network system charging the photovoltaic storage system and / or the operation of the photovoltaic storage system charging the distribution network system.
[0038] As an optional implementation, in the second aspect of the present invention, the electricity price change includes one or more electricity prices and the time at which each of the electricity prices is located;
[0039] And, the generation module generates the energy scheduling strategy set according to the electricity price change and the SOC state set, specifically including:
[0040] Analyzing a set of charging preferential strategies corresponding to the electricity price changes according to the electricity price changes;
[0041] Analyzing, according to the SOC state set, a charging demand set corresponding to the SOC state set;
[0042] An energy scheduling strategy set is generated according to the charging demand set and the charging preferential strategy set.
[0043] As an optional implementation, in the second aspect of the present invention, the generation module analyzes the charging preferential strategy set corresponding to the electricity price change according to the electricity price change, specifically including:
[0044] According to the electricity price change, the electricity price change is grouped to obtain a grouping result of the electricity price change, the grouping result including a first time length group, a second time length group and a third time length group, wherein the first time length group is empty or all electricity prices included in the first time length group are less than or equal to a first preset electricity price, the second time length group is empty or all electricity prices included in the second time length group are greater than or equal to a second preset electricity price, the third time length group is empty or all electricity prices included in the third time length group are greater than the first preset electricity price and less than the second preset electricity price, wherein the first preset electricity price is less than the second preset electricity price, and the first time length group, the second time length group and the third time length group are not empty at the same time;
[0045] According to all electricity prices included in each duration group included in the grouping result, a charging preferential strategy corresponding to each duration group is analyzed.
[0046] As an optional implementation, in the second aspect of the present invention, the photovoltaic storage and charging microgrid system further includes a photovoltaic power generation system;
[0047] Furthermore, the generation module analyzes the charging preferential strategy corresponding to each duration group according to all electricity prices included in each duration group included in the grouping result, specifically including:
[0048] According to each time group included in the grouping result, predict the power generation situation of the photovoltaic power generation system in each time group, and obtain the predicted power generation situation corresponding to each time group;
[0049] According to all electricity prices included in each of the duration groups included in the grouping results and the predicted power generation situation corresponding to each of the duration groups, the charging preferential strategy corresponding to each of the duration groups is analyzed.
[0050] As an optional implementation, in the second aspect of the present invention, the generation module analyzes the charging demand set corresponding to the SOC state set according to the SOC state set, specifically including:
[0051] According to the SOC states at one or more collection moments included in the SOC state set, all the SOC states are grouped to obtain one or more SOC state groups, each of the SOC states has a corresponding collection time period, and each of the collection time periods includes at least one of the collection moments, and each of the SOC states includes the SOC states at all of the collection moments included in the collection time period corresponding to the SOC state;
[0052] According to all SOC states included in each of the SOC state groups, analyzing the charging demand corresponding to each of the SOC state groups, the charging demand including the charging demand of the photovoltaic storage system and / or the charging demand of the distribution network system;
[0053] The charging requirement set includes the charging requirements corresponding to the SOC states of all the duration groups.
[0054] As an optional implementation, in the second aspect of the present invention, the control module controls the distribution network system and / or the photovoltaic storage system to perform the charging operation according to the energy scheduling strategy set, specifically including:
[0055] According to the energy scheduling strategy set, generating an energy scheduling instruction set matching the energy scheduling strategy set, the energy scheduling instruction set including a first type of energy scheduling instruction for the photovoltaic storage system and / or a second type of energy scheduling instruction for the distribution network system;
[0056] According to the energy scheduling instruction set, the photovoltaic storage system and / or the distribution network system is controlled to perform charging operations.
[0057] As an optional implementation, in the second aspect of the present invention, the control module controls the photovoltaic storage system and / or the distribution network system to perform the charging operation according to the energy scheduling instruction set, specifically including:
[0058] When the energy scheduling instruction set includes a first type of energy scheduling instruction for the photovoltaic storage system, sending the first type of energy scheduling instruction to the photovoltaic storage system, triggering the photovoltaic storage system to perform a charging operation matching the first type of energy scheduling instruction after receiving the first type of energy scheduling instruction;
[0059] When the energy scheduling instruction set includes a second type of energy scheduling instruction for the distribution network system, the second type of energy scheduling instruction is sent to the distribution network system, triggering the distribution network system to perform a charging operation matching the second type of energy scheduling instruction after receiving the second type of energy scheduling instruction.
[0060] The third aspect of the present invention discloses another photovoltaic storage and charging microgrid system, the photovoltaic storage and charging microgrid system comprising:
[0061] A memory storing executable program code;
[0062] a processor coupled to the memory;
[0063] The processor calls the executable program code stored in the memory to execute the photovoltaic storage and charging integrated charging control method disclosed in the first aspect of the present invention.
[0064] The fourth aspect of the present invention discloses a computer storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute the integrated photovoltaic storage and charging control method disclosed in the first aspect of the present invention.
[0065] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:
[0066] In an embodiment of the present invention, an energy management system receives changes in electricity prices of a distribution network system and a set of SOC states of a photovoltaic storage system; the energy management system generates an energy scheduling strategy set based on the changes in electricity prices and the set of SOC states; the energy management system sends the energy scheduling strategy set to a central control system; the central control system receives the energy scheduling strategy set, and controls the distribution network system and / or the photovoltaic storage system to perform charging operations based on the energy scheduling strategy set, and the charging operations include operations of the distribution network system charging the photovoltaic storage system and / or operations of the photovoltaic storage system charging the distribution network system. It can be seen that the implementation of the present invention can receive the electricity price changes of the distribution network system and the SOC state set of the photovoltaic storage system through the energy management system, and then generate an energy scheduling strategy set according to the electricity price changes and the SOC state set, which can improve the generation accuracy of the energy scheduling strategy set, and then send the energy scheduling strategy set to the central control system, which can improve the sending accuracy and timeliness of the energy scheduling strategy set. After receiving the energy scheduling strategy set, the central control system controls the distribution network system and / or the photovoltaic storage system to perform charging operations according to the energy scheduling strategy set, which can improve the accuracy of the charging control of the central control system based on the energy scheduling strategy set, which is beneficial to improving the execution accuracy of the charging operation of the distribution network system / photovoltaic storage system, thereby helping to reduce the power supply pressure of the distribution network system while improving the economic benefits of the distribution network system. BRIEF DESCRIPTION OF THE DRAWINGS
[0067] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.
[0068] Figure 1 It is a flow chart of a charging control method for integrated photovoltaic storage and charging disclosed in an embodiment of the present invention;
[0069] Figure 2 It is a flow chart of another charging control method for integrated photovoltaic storage and charging disclosed in an embodiment of the present invention;
[0070] Figure 3 It is a structural schematic diagram of a photovoltaic storage and charging microgrid system disclosed in an embodiment of the present invention;
[0071] Figure 4 It is a structural schematic diagram of another photovoltaic storage and charging microgrid system disclosed in an embodiment of the present invention. DETAILED DESCRIPTION
[0072] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0073] The terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish different objects rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or terminal including a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units that are not listed, or may optionally include other steps or units inherent to these processes, methods, products or terminals.
[0074] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.
[0075] The present invention discloses a charging control method and a photovoltaic storage and charging microgrid system of photovoltaic storage, which can receive the electricity price change of the distribution network system and the SOC state set of the photovoltaic storage system through the energy management system, and then generate an energy scheduling strategy set according to the electricity price change and the SOC state set, which can improve the generation accuracy of the energy scheduling strategy set, and then send the energy scheduling strategy set to the central control system, which can improve the sending accuracy and timeliness of the energy scheduling strategy set. After receiving the energy scheduling strategy set, the central control system controls the distribution network system and / or the photovoltaic storage system to perform charging operations according to the energy scheduling strategy set, which can improve the accuracy of the charging control of the central control system based on the energy scheduling strategy set, which is conducive to improving the execution accuracy of the charging operation of the distribution network system / photovoltaic storage system, thereby helping to reduce the power supply pressure of the distribution network system while improving the economic benefits of the distribution network system. The following are detailed descriptions.
[0076] Embodiment 1
[0077] See also Figure 1 , Figure 1 1 is a flow chart of a charging control method for integrated photovoltaic storage and charging disclosed in an embodiment of the present invention. Figure 1 The described photovoltaic storage charging integrated charging control method can be applied to a photovoltaic storage charging microgrid system, and the photovoltaic storage charging microgrid system can be used to realize photovoltaic storage charging integrated charging control, wherein the photovoltaic storage charging microgrid system can at least include an energy management system and a central control system, which is not limited in the embodiments of the present invention. Figure 1 As shown, the charging control method for the integrated photovoltaic storage and charging system may include the following operations:
[0078] 101. The energy management system receives the electricity price change of the distribution network system and the SOC state set of the photovoltaic storage system.
[0079] In an embodiment of the present invention, the SOC state set may include one or more SOC states. Optionally, the photovoltaic storage charging microgrid system may also include a monitoring system, wherein the monitoring system is connected to the distribution network system and the photovoltaic storage system respectively, and may be used to monitor the SOC state of the photovoltaic storage system in real time, and may also be used to monitor the load change of the distribution network system in real time, which is not limited in the embodiment of the present invention.
[0080] Specifically, the change in electricity price can be sent to the energy management system in the following ways: the monitoring system monitors the load change of the distribution network system, and analyzes the change in electricity price of the distribution network system according to the load change of the distribution network system, and then sends the change in electricity price of the distribution network system to the energy management system. Specifically, each SOC state included in the SOC state set can be sent to the energy management system in the following ways: the monitoring system monitors the SOC state of the photovoltaic storage system in real time, and sends the monitored SOC state to the energy management system. Optionally, the change in electricity price and the SOC state can be sent simultaneously or at different times, which is not limited in the embodiments of the present invention.
[0081] 102. The energy management system generates an energy scheduling strategy set according to the electricity price changes and the SOC state set.
[0082] In an embodiment of the present invention, the energy scheduling strategy set may include one or more energy scheduling strategies. Each energy scheduling strategy may be used to represent a strategy for scheduling the energy (e.g., electric energy) of a distribution network system to a photovoltaic storage system, or may be used to represent a strategy for scheduling the energy of a photovoltaic storage system to a distribution network system, which is not limited in the embodiment of the present invention.
[0083] 103. The energy management system sends the energy scheduling strategy set to the central control system.
[0084] In an embodiment of the present invention, the central control system may include a microgrid central controller, which can be used to achieve effective control of source, network, load and storage, wherein source refers to power supply, network refers to distribution network, load refers to load, and storage refers to energy storage.
[0085] 104. The central control system receives the energy scheduling strategy set.
[0086] 105. The central control system controls the distribution network system and / or the photovoltaic storage system to perform charging operations according to the energy scheduling strategy set.
[0087] In the embodiment of the present invention, the charging operation may include an operation of the distribution network system charging the photovoltaic storage system and / or an operation of the photovoltaic storage system charging the distribution network system.
[0088] It can be seen that the implementation Figure 1The described integrated photovoltaic storage and charging control method can receive the electricity price changes of the distribution network system and the SOC state set of the photovoltaic storage system through the energy management system, and then generate an energy scheduling strategy set based on the electricity price changes and the SOC state set, which can improve the generation accuracy of the energy scheduling strategy set, and then send the energy scheduling strategy set to the central control system, which can improve the sending accuracy and timeliness of the energy scheduling strategy set. After receiving the energy scheduling strategy set, the central control system controls the distribution network system and / or the photovoltaic storage system to perform charging operations according to the energy scheduling strategy set, which can improve the accuracy of the charging control of the central control system based on the energy scheduling strategy set, which is beneficial to improving the execution accuracy of the charging operation of the distribution network system / photovoltaic storage system, thereby helping to reduce the power supply pressure of the distribution network system while improving the economic benefits of the distribution network system.
[0089] In an optional embodiment, the central control system of step 105 controls the distribution network system and / or the photovoltaic storage system to perform charging operations according to the energy scheduling strategy set, which may include:
[0090] The central control system generates an energy scheduling instruction set matching the energy scheduling strategy set according to the energy scheduling strategy set;
[0091] The central control system controls the photovoltaic storage system and / or the distribution network system to perform charging operations according to the energy scheduling instruction set.
[0092] In an embodiment of the present invention, the energy scheduling instruction set may include a first type of energy scheduling instruction for a photovoltaic storage system, and / or a second type of energy scheduling instruction for a distribution network system. Among them, the first type of energy scheduling instruction for the photovoltaic storage system can be used to represent an instruction to schedule the energy of the photovoltaic storage system (such as: scheduling to the distribution network system). The second type of energy scheduling instruction for the distribution network system can be used to represent an instruction to schedule the energy of the distribution network system (such as; scheduling to the photovoltaic storage system), which is not limited in the embodiment of the present invention.
[0093] It can be seen that this optional embodiment can generate an energy scheduling instruction set that matches the energy scheduling strategy set according to the energy scheduling strategy set through the central control system, which can improve the generation accuracy and reliability of the energy scheduling instruction set, and then control the photovoltaic storage system and / or the distribution network system to perform charging operations according to the accurately generated energy scheduling instruction set, which can improve the control accuracy of the charging operation of the central control system, and is conducive to improving the control accuracy of the charging operations performed by the photovoltaic storage system and / or the distribution network system.
[0094] In this optional embodiment, as an optional implementation, the central control system controls the photovoltaic storage system and / or the distribution network system to perform the charging operation according to the energy scheduling instruction set, which may include:
[0095] When the energy scheduling instruction set includes a first type of energy scheduling instruction for the photovoltaic storage system, the central control system sends the first type of energy scheduling instruction to the photovoltaic storage system, triggering the photovoltaic storage system to perform a charging operation matching the first type of energy scheduling instruction after receiving the first type of energy scheduling instruction;
[0096] When the energy scheduling instruction set includes a second type of energy scheduling instruction for the distribution network system, the central control system sends the second type of energy scheduling instruction to the distribution network system, triggering the distribution network system to perform a charging operation matching the second type of energy scheduling instruction after receiving the second type of energy scheduling instruction.
[0097] In an embodiment of the present invention, optionally, the photovoltaic storage system and / or the distribution network system can be integrated into the photovoltaic storage and charging microgrid system, that is, the photovoltaic storage and charging microgrid system can also include the photovoltaic storage system and / or the distribution network system.
[0098] It can be seen that this optional implementation mode can enable the central control system to send the first type of energy scheduling instructions to the photovoltaic storage system when the energy scheduling instruction set includes the first type of energy scheduling instructions for the photovoltaic storage system, and when the energy scheduling instruction set includes the second type of energy scheduling instructions for the distribution network system, the central control system sends the second type of energy scheduling instructions to the distribution network system. This can improve the diversity and flexibility of the central control system's selection of the objects to which the energy scheduling instruction set is sent based on the energy scheduling instruction set with diversified instructions, which is conducive to improving the accuracy and reliability of the central control system's sending of the energy scheduling instruction set.
[0099] In another optional embodiment, after the energy management system in step 102 generates an energy scheduling strategy set according to the electricity price change and the SOC state set, and before the energy management system in step 103 sends the energy scheduling strategy set to the central control system, the method may further include:
[0100] The energy management system collects scene user information of the target scene for charging of the photovoltaic storage and charging microgrid system;
[0101] The energy management system analyzes the distribution of user charging intentions in the target scenario based on scenario user information;
[0102] The energy management system generates energy scheduling strategy adjustment parameters based on the distribution of user charging intentions;
[0103] The energy management system adjusts the energy scheduling strategy set according to the energy scheduling strategy adjustment parameters to obtain the adjusted energy scheduling strategy set, and triggers the energy management system to execute step 103 .
[0104] In an embodiment of the present invention, the scene user information may include charging information of one or more users in the target scene in different time periods. The charging information of each user in each time period may include one or more combinations of the charging amount of each user in each time period, the charging power of each user in each time period, and the charging duration of each user in each time period, which is not limited in the embodiment of the present invention.
[0105] In the embodiment of the present invention, the distribution of user charging intentions can be used to indicate the user charging intentions in different time periods in the target scenario. The user charging intentions in each time period can be used to indicate the number of users who charge the device (such as an electric car) in each time period, and can also include the total charge amount in each time period, and can also include any other data related to charging in each time period, which is not limited in the embodiment of the present invention.
[0106] It can be seen that this optional embodiment can collect scene user information of the target scene for charging of the photovoltaic storage and charging microgrid system through the energy management system, and analyze the user charging intention distribution of the target scene based on the scene user information, which can improve the analysis accuracy of the user charging intention distribution, and then generate energy scheduling strategy adjustment parameters based on the accurate analysis of the user charging intention distribution, which can improve the generation accuracy of the energy scheduling strategy adjustment parameters, and then adjust the energy scheduling strategy set based on the energy scheduling strategy adjustment parameters, which can improve the accuracy and reliability of adjusting the energy scheduling strategy set, thereby facilitating improving the accuracy and reliability of the strategy set subsequently sent to the central control system through the energy management system based on the adjusted energy scheduling strategy set.
[0107] Embodiment 2
[0108] See also Figure 2 , Figure 2 1 is a flow chart of a charging control method for integrated photovoltaic storage and charging disclosed in an embodiment of the present invention. Figure 2 The described photovoltaic storage and charging integrated charging control method can be applied to a photovoltaic storage and charging microgrid system, wherein the photovoltaic storage and charging microgrid system can be used to realize photovoltaic storage and charging integrated charging control, wherein the photovoltaic storage and charging microgrid system can at least include an energy management system and a central control system, which is not limited in the embodiments of the present invention. Figure 2 As shown, the charging control method for the integrated photovoltaic storage and charging system may include the following operations:
[0109] 201. The energy management system receives the electricity price change of the distribution network system and the SOC state set of the photovoltaic storage system.
[0110] In the embodiment of the present invention, the electricity price change situation may include one or more electricity prices and the time at which each electricity price exists.
[0111] 202. The energy management system analyzes a set of charging preferential strategies corresponding to the electricity price changes according to the electricity price changes.
[0112] In the embodiment of the present invention, the charging preferential policy set may include one or more charging preferential policies.
[0113] 203. The energy management system analyzes a charging demand set corresponding to the SOC state set according to the SOC state set.
[0114] In the embodiment of the present invention, the charging requirement set may include one or more charging requirements.
[0115] In the embodiment of the present invention, there is no particular order between step 203 and step 202. Specifically, step 203 may occur before step 202, or after step 202, or simultaneously with step 202, which is not limited in the embodiment of the present invention.
[0116] 204. The energy management system generates an energy scheduling strategy set according to the charging demand set and the charging preferential strategy set.
[0117] 205. The energy management system sends the energy scheduling strategy set to the central control system.
[0118] 206. The central control system receives the energy scheduling strategy set.
[0119] 207. The central control system controls the distribution network system and / or the photovoltaic storage system to perform charging operations according to the energy scheduling strategy set.
[0120] In the embodiment of the present invention, for other descriptions of step 201 to step 207, please refer to the detailed description of step 101 to step 105 in the first embodiment, and the embodiment of the present invention will not be repeated.
[0121] It can be seen that the implementation Figure 2The described integrated photovoltaic storage and charging control method can receive the electricity price changes of the distribution network system and the SOC state set of the photovoltaic storage system through the energy management system, and then generate an energy scheduling strategy set based on the electricity price changes and the SOC state set, which can improve the generation accuracy of the energy scheduling strategy set, and then send the energy scheduling strategy set to the central control system, which can improve the sending accuracy and timeliness of the energy scheduling strategy set. After receiving the energy scheduling strategy set, the central control system controls the distribution network system and / or the photovoltaic storage system to perform charging operations according to the energy scheduling strategy set, which can improve the accuracy of the charging control of the central control system based on the energy scheduling strategy set, which is beneficial to improving the execution accuracy of the charging operation of the distribution network system / photovoltaic storage system, thereby helping to reduce the power supply pressure of the distribution network system while improving the economic benefits of the distribution network system. In addition, the energy management system can also analyze the charging preferential strategy set corresponding to the electricity price changes according to the electricity price changes, which can improve the analysis accuracy of the charging preferential strategy set, and analyze the charging demand set corresponding to the SOC state set according to the SOC state set and electricity price changes, which can improve the analysis accuracy of the charging demand set. Subsequently, based on the charging demand set and the charging preferential strategy set, an energy scheduling strategy set is generated, which can improve the generation accuracy and reliability of the energy scheduling strategy set to a certain extent.
[0122] In an optional embodiment, the energy management system in step 202 analyzes the charging preferential strategy set corresponding to the electricity price change according to the electricity price change, which may include:
[0123] The energy management system groups the electricity price changes according to the electricity price changes and obtains the grouping results of the electricity price changes;
[0124] The energy management system analyzes the charging preferential strategy corresponding to each duration group according to all electricity prices included in each duration group included in the grouping result.
[0125] In an embodiment of the present invention, the grouping result may include a first duration group, a second duration group, and a third duration group. The first duration group is empty or all electricity prices included in the first duration group are less than or equal to the first preset electricity price, the second duration group is empty or all electricity prices included in the second duration group are greater than or equal to the second preset electricity price, the third duration group is empty or all electricity prices included in the third duration group are greater than the first preset electricity price and less than the second preset electricity price. The first preset electricity price is less than the second preset electricity price, and the first duration group, the second duration group, and the third duration group are not empty at the same time.
[0126] Optionally, the charging preferential strategy set may include charging preferential strategies corresponding to all duration groups included in the grouping result. Specifically, when the first duration group included in the grouping result is not empty, the charging preferential strategy includes at least a preferential strategy for the distribution network system to charge the photovoltaic storage system; when the second duration group included in the grouping result is not empty, the charging preferential strategy set includes at least a preferential strategy for the photovoltaic storage system to charge the distribution network system, which is not limited in the embodiment of the present invention.
[0127] It can be seen that this optional embodiment can group the electricity price changes according to the electricity price changes through the energy management system to obtain the grouping results of the electricity price changes, which can improve the accuracy of the grouping of the electricity price changes. Subsequently, the energy management system analyzes the charging preferential policies corresponding to each time group based on all electricity prices included in each time group included in the grouping results, which can improve the analysis accuracy and reliability of the charging preferential policies corresponding to each time group to a certain extent.
[0128] In this optional embodiment, as an optional implementation, the photovoltaic storage and charging microgrid system also includes a photovoltaic power generation system. And, the energy management system analyzes the charging preferential strategy corresponding to each time group according to all electricity prices included in each time group included in the grouping result, which may include:
[0129] The energy management system predicts the power generation situation of the photovoltaic power generation system in each time group according to each time group included in the grouping result, and obtains the predicted power generation situation corresponding to each time group;
[0130] The energy management system analyzes the charging preferential strategy corresponding to each time group according to all electricity prices included in each time group included in the grouping result and the predicted power generation situation corresponding to each time group.
[0131] In an embodiment of the present invention, optionally, the predicted power generation situation may include one or more combinations of the predicted power generation of the photovoltaic power generation system in the corresponding time length group, the predicted power generation power of the photovoltaic power generation system in the corresponding time length group, and the predicted power generation duration of the photovoltaic power generation system in the corresponding time length group, which is not limited by the embodiment of the present invention.
[0132] It can be seen that this optional implementation method can predict the power generation situation of the photovoltaic power generation system in each time group included in the grouping results through the energy management system, and obtain the predicted power generation situation corresponding to each time group, which can improve the prediction accuracy of the predicted power generation situation corresponding to each time group, and analyze the charging preferential strategy corresponding to each time group based on all electricity prices included in each time group included in the grouping results and the accurately predicted predicted power generation situation corresponding to each time group, which can improve the analysis accuracy and reliability of the charging preferential strategy corresponding to each time group.
[0133] In another optional embodiment, the energy management system of step 203 analyzes the charging demand set corresponding to the SOC state set according to the SOC state set, which may include:
[0134] The energy management system groups all SOC states according to the SOC states at one or more acquisition moments included in the SOC state set to obtain one or more SOC state groups;
[0135] The energy management system analyzes the charging demand corresponding to each SOC state group according to all SOC states contained in each SOC state group.
[0136] In the embodiment of the present invention, each SOC state has a corresponding collection time period, wherein each collection time period includes at least one collection moment, wherein each SOC state includes the SOC states of all collection moments included in the collection time period corresponding to the SOC state.
[0137] In an embodiment of the present invention, the charging demand includes the charging demand of the photovoltaic storage system and / or the charging demand of the distribution network system. The charging demand set may include the charging demands corresponding to all SOC state groups. For example, assuming that the SOC state of any energy storage battery in the photovoltaic storage system is used to indicate that the remaining power of the energy storage battery is 8%, which is lower than the specified 10%, it can be determined that the above energy storage battery in the photovoltaic storage system has a charging demand.
[0138] It can be seen that this optional embodiment can group all SOC states through the energy management system according to the SOC states at one or more collection moments contained in the SOC state set to obtain one or more SOC state groups, which can improve the grouping accuracy and reliability of the SOC states of each time group, and analyze the charging demand corresponding to each SOC state group according to all SOC states contained in each SOC state group, which can improve the analysis accuracy and reliability of the charging demand corresponding to each SOC state group.
[0139] Embodiment 3
[0140] See also Figure 3 , Figure 3 This is a schematic diagram of the structure of a photovoltaic storage and charging microgrid system disclosed in an embodiment of the present invention. Figure 3 The photovoltaic storage and charging microgrid system described can be used to realize photovoltaic storage and charging integrated charging control, wherein the photovoltaic storage and charging microgrid system 30 can at least include an energy management system 301 and a central control system 302, which is not limited in the embodiment of the present invention. Figure 3As shown, the energy management system 301 may include a first receiving module 3011, a generating module 3012 and a first sending module 3013, and the central control system 302 may include a second receiving module 3021 and a control module 3022, wherein:
[0141] The first receiving module 3011 is used to receive the electricity price change of the distribution network system and the SOC state set of the photovoltaic storage system.
[0142] The generation module 3012 is used to generate an energy scheduling strategy set according to the change of electricity price and the SOC state set.
[0143] The first sending module 3013 is used to send the energy scheduling strategy set to the second receiving module 3021.
[0144] The second receiving module 3021 is used to receive an energy scheduling strategy set.
[0145] The control module 3022 is used to control the distribution network system and / or the photovoltaic storage system to perform charging operations according to the energy scheduling strategy set received by the second receiving module 3021. The charging operations include the operation of the distribution network system charging the photovoltaic storage system and / or the operation of the photovoltaic storage system charging the distribution network system.
[0146] It can be seen that the implementation Figure 3 The described photovoltaic storage and charging microgrid system can receive the electricity price changes of the distribution network system and the SOC state set of the photovoltaic storage system through the energy management system, and then generate an energy scheduling strategy set based on the electricity price changes and the SOC state set, which can improve the generation accuracy of the energy scheduling strategy set, and then send the energy scheduling strategy set to the central control system, which can improve the sending accuracy and timeliness of the energy scheduling strategy set. After receiving the energy scheduling strategy set, the central control system controls the distribution network system and / or the photovoltaic storage system to perform charging operations according to the energy scheduling strategy set, which can improve the accuracy of the charging control of the central control system based on the energy scheduling strategy set, which is beneficial to improving the execution accuracy of the charging operation of the distribution network system / photovoltaic storage system, thereby helping to reduce the power supply pressure of the distribution network system while improving the economic benefits of the distribution network system.
[0147] In an optional embodiment, the electricity price change includes one or more electricity prices and the time at which each electricity price is located. And, the generation module 3012 generates the energy scheduling strategy set according to the electricity price change and the SOC state set, which specifically includes:
[0148] According to the changes in electricity prices, analyze the charging preferential strategy set corresponding to the changes in electricity prices;
[0149] According to the SOC state set, analyzing the charging demand set corresponding to the SOC state set;
[0150] An energy scheduling strategy set is generated based on a charging demand set and a charging preferential strategy set.
[0151] It can be seen that this optional embodiment can analyze the charging preferential strategy set corresponding to the electricity price changes according to the electricity price changes through the energy management system, which can improve the analysis accuracy of the charging preferential strategy set, and analyze the charging demand set corresponding to the SOC state set according to the SOC state set and the electricity price changes, which can improve the analysis accuracy of the charging demand set, and then generate an energy scheduling strategy set based on the charging demand set and the charging preferential strategy set, which can improve the generation accuracy and reliability of the energy scheduling strategy set to a certain extent.
[0152] In this optional embodiment, as an optional implementation, the generation module 3012 analyzes the charging preferential strategy set corresponding to the electricity price change according to the electricity price change, which may specifically include:
[0153] According to the change of electricity price, the change of electricity price is grouped to obtain the grouping result of the change of electricity price, and the grouping result includes the first time length group, the second time length group and the third time length group, wherein the first time length group is empty or all electricity prices included in the first time length group are less than or equal to the first preset electricity price, the second time length group is empty or all electricity prices included in the second time length group are greater than or equal to the second preset electricity price, the third time length group is empty or all electricity prices included in the third time length group are greater than the first preset electricity price and less than the second preset electricity price, wherein the first preset electricity price is less than the second preset electricity price, and the first time length group, the second time length group and the third time length group are not empty at the same time;
[0154] According to all electricity prices included in each duration group included in the grouping result, the charging preferential strategy corresponding to each duration group is analyzed.
[0155] It can be seen that this optional implementation method can group the electricity price changes according to the electricity price changes through the energy management system, and obtain the grouping results of the electricity price changes, which can improve the accuracy of the grouping of the electricity price changes. Subsequently, the energy management system analyzes the charging preferential strategies corresponding to each time group based on all electricity prices included in each time group included in the grouping results, which can improve the analysis accuracy and reliability of the charging preferential strategies corresponding to each time group to a certain extent.
[0156] In this optional implementation, the photovoltaic storage and charging microgrid system may also include a photovoltaic power generation system. And the generation module 3012 may analyze the charging preferential strategy corresponding to each time group according to all electricity prices included in each time group included in the grouping result, and may specifically include:
[0157] According to each time group included in the grouping result, the power generation situation of the photovoltaic power generation system in each time group is predicted to obtain the predicted power generation situation corresponding to each time group;
[0158] According to all electricity prices included in each duration group included in the grouping results and the predicted power generation situation corresponding to each duration group, the charging preferential strategy corresponding to each duration group is analyzed.
[0159] It can be seen that this optional implementation method can also predict the power generation situation of the photovoltaic power generation system in each time group included in the grouping results through the energy management system, and obtain the predicted power generation situation corresponding to each time group, which can improve the prediction accuracy of the predicted power generation situation corresponding to each time group, and analyze the charging preferential strategy corresponding to each time group based on all electricity prices included in each time group included in the grouping results and the accurately predicted predicted power generation situation corresponding to each time group, which can improve the analysis accuracy and reliability of the charging preferential strategy corresponding to each time group.
[0160] In this optional embodiment, as another optional implementation, the generation module 3012 analyzes the charging demand set corresponding to the SOC state set according to the SOC state set, which may specifically include:
[0161] According to the SOC states at one or more collection moments included in the SOC state set, all SOC states are grouped to obtain one or more SOC state groups, each SOC state has a corresponding collection time period, and each collection time period includes at least one collection moment, and each SOC state includes the SOC states at all collection moments included in the collection time period corresponding to the SOC state;
[0162] According to all SOC states contained in each SOC state group, analyzing the charging demand corresponding to each SOC state group, the charging demand includes the charging demand of the photovoltaic storage system and / or the charging demand of the distribution network system;
[0163] The charging requirement set includes the charging requirements corresponding to the SOC states of all duration groups.
[0164] It can be seen that this optional implementation can group all SOC states through the energy management system according to the SOC states at one or more collection moments contained in the SOC state set to obtain one or more SOC state groups, which can improve the grouping accuracy and reliability of the SOC states of each time group, and analyze the charging demand corresponding to each SOC state group according to all SOC states contained in each SOC state group, which can improve the analysis accuracy and reliability of the charging demand corresponding to each SOC state group.
[0165] In another optional embodiment, the control module 3022 controls the distribution network system and / or the photovoltaic storage system to perform the charging operation according to the energy scheduling strategy set, which may specifically include:
[0166] According to the energy scheduling strategy set, an energy scheduling instruction set matching the energy scheduling strategy set is generated, where the energy scheduling instruction set includes a first type of energy scheduling instruction for the photovoltaic storage system and / or a second type of energy scheduling instruction for the distribution network system;
[0167] According to the energy scheduling instruction set, the photovoltaic storage system and / or the distribution network system are controlled to perform charging operations.
[0168] It can be seen that this optional embodiment can generate an energy scheduling instruction set that matches the energy scheduling strategy set according to the energy scheduling strategy set through the central control system, which can improve the generation accuracy and reliability of the energy scheduling instruction set, and then control the photovoltaic storage system and / or the distribution network system to perform charging operations according to the accurately generated energy scheduling instruction set, which can improve the control accuracy of the charging operation of the central control system, and is conducive to improving the control accuracy of the charging operations performed by the photovoltaic storage system and / or the distribution network system.
[0169] In this optional embodiment, as an optional implementation, the control module 3022 controls the photovoltaic storage system and / or the distribution network system to perform the charging operation according to the energy scheduling instruction set, which may specifically include:
[0170] When the energy scheduling instruction set includes a first type of energy scheduling instruction for the photovoltaic storage system, the first type of energy scheduling instruction is sent to the photovoltaic storage system, triggering the photovoltaic storage system to perform a charging operation matching the first type of energy scheduling instruction after receiving the first type of energy scheduling instruction;
[0171] When the energy scheduling instruction set includes a second type of energy scheduling instruction for the distribution network system, the second type of energy scheduling instruction is sent to the distribution network system, triggering the distribution network system to perform a charging operation matching the second type of energy scheduling instruction after receiving the second type of energy scheduling instruction.
[0172] It can be seen that this optional implementation mode can enable the central control system to send the first type of energy scheduling instructions to the photovoltaic storage system when the energy scheduling instruction set includes the first type of energy scheduling instructions for the photovoltaic storage system, and when the energy scheduling instruction set includes the second type of energy scheduling instructions for the distribution network system, the central control system sends the second type of energy scheduling instructions to the distribution network system. This can improve the diversity and flexibility of the central control system's selection of the objects to which the energy scheduling instruction set is sent based on the energy scheduling instruction set with diversified instructions, which is conducive to improving the accuracy and reliability of the central control system's sending of the energy scheduling instruction set.
[0173] Embodiment 4
[0174] See also Figure 4 , Figure 4 FIG. 1 is a schematic diagram of another photovoltaic storage and charging microgrid system disclosed in an embodiment of the present invention. Figure 4 As shown, the photovoltaic storage and charging microgrid system may include:
[0175] A memory 401 storing executable program codes;
[0176] a processor 402 coupled to the memory 401;
[0177] The processor 402 calls the executable program code stored in the memory 401 to execute the steps in the photovoltaic storage and charging integrated charging control method described in the first embodiment of the present invention or the second embodiment of the present invention.
[0178] Embodiment 5
[0179] An embodiment of the present invention discloses a computer storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute the steps in the integrated photovoltaic storage and charging control method described in Embodiment 1 or Embodiment 2 of the present invention.
[0180] Embodiment 6
[0181] An embodiment of the present invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to enable a computer to execute the steps in the integrated photovoltaic storage and charging control method described in Embodiment 1 or Embodiment 2.
[0182] The system embodiment described above is only illustrative, wherein the modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, that is, they may be located in one place, or they may be distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Those of ordinary skill in the art may understand and implement it without paying creative labor.
[0183] Through the specific description of the above embodiments, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the above technical solution can be essentially or partly contributed to the prior art in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, and the storage medium includes a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable rewritable read-only memory (EEPROM), a compact disc (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.
[0184] Finally, it should be noted that the integrated photovoltaic storage and charging charging control method and photovoltaic storage and charging microgrid system disclosed in the embodiments of the present invention are only preferred embodiments of the present invention, which are only used to illustrate the technical solution of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments can still be modified, or some of the technical features therein can be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.
Claims
1. A charging control method for integrated photovoltaic storage and charging, characterized in that: The method is applied to a photovoltaic storage and charging microgrid system, wherein the photovoltaic storage and charging microgrid system includes at least an energy management system and a central control system, and the method includes: The energy management system receives the electricity price change of the distribution network system and the SOC state set of the photovoltaic storage system; The energy management system generates an energy scheduling strategy set according to the electricity price change and the SOC state set; The energy management system sends the energy scheduling strategy set to the central control system; The central control system receives the energy scheduling strategy set, and controls the distribution network system and / or the photovoltaic storage system to perform charging operations according to the energy scheduling strategy set, wherein the charging operations include the operation of the distribution network system charging the photovoltaic storage system and / or the operation of the photovoltaic storage system charging the distribution network system.
2. The charging control method for integrated photovoltaic storage and charging according to claim 1, characterized in that: The electricity price change includes one or more electricity prices and the time when each electricity price is; Furthermore, the energy management system generates an energy scheduling strategy set according to the electricity price change and the SOC state set, including: The energy management system analyzes a set of charging preferential strategies corresponding to the electricity price changes according to the electricity price changes; The energy management system analyzes a charging demand set corresponding to the SOC state set according to the SOC state set; The energy management system generates an energy scheduling strategy set according to the charging demand set and the charging preferential strategy set.
3. The charging control method for integrated photovoltaic storage and charging according to claim 2, characterized in that: The energy management system analyzes a set of charging preferential strategies corresponding to the electricity price changes according to the electricity price changes, including: The energy management system groups the electricity price changes according to the electricity price changes to obtain a grouping result of the electricity price changes, the grouping result including a first duration group, a second duration group, and a third duration group, wherein the first duration group is empty or all electricity prices included in the first duration group are less than or equal to a first preset electricity price, the second duration group is empty or all electricity prices included in the second duration group are greater than or equal to a second preset electricity price, the third duration group is empty or all electricity prices included in the third duration group are greater than the first preset electricity price and less than the second preset electricity price, wherein the first preset electricity price is less than the second preset electricity price, and the first duration group, the second duration group, and the third duration group are not empty at the same time; The energy management system analyzes the charging preferential strategy corresponding to each duration group according to all electricity prices included in each duration group included in the grouping result.
4. The charging control method for integrated photovoltaic storage and charging according to claim 3 is characterized in that: The light storage and charging microgrid system also includes a photovoltaic power generation system; Furthermore, the energy management system analyzes the charging preferential strategy corresponding to each duration group according to all electricity prices included in each duration group included in the grouping result, including: The energy management system predicts the power generation situation of the photovoltaic power generation system in each time group according to each time group included in the grouping result, and obtains the predicted power generation situation corresponding to each time group; The energy management system analyzes the charging preferential strategy corresponding to each of the duration groups according to all electricity prices included in each of the duration groups included in the grouping results and the predicted power generation situation corresponding to each of the duration groups.
5. The charging control method for integrated photovoltaic storage and charging according to any one of claims 2 to 4, characterized in that: The energy management system analyzes a charging demand set corresponding to the SOC state set according to the SOC state set, including: The energy management system groups all the SOC states according to the SOC states at one or more collection moments included in the SOC state set to obtain one or more SOC state groups, each of the SOC states has a corresponding collection time period, and each of the collection time periods includes at least one of the collection moments, and each of the SOC states includes the SOC states at all the collection moments included in the collection time period corresponding to the SOC state; The energy management system analyzes the charging demand corresponding to each of the SOC state groups according to all the SOC states included in each of the SOC state groups, wherein the charging demand includes the charging demand of the photovoltaic storage system and / or the charging demand of the distribution network system; The charging requirement set includes the charging requirements corresponding to the SOC states of all the duration groups.
6. The charging control method for integrated photovoltaic storage and charging according to any one of claims 1 to 4, characterized in that: The central control system controls the distribution network system and / or the photovoltaic storage system to perform a charging operation according to the energy scheduling strategy set, including: The central control system generates an energy scheduling instruction set matching the energy scheduling strategy set according to the energy scheduling strategy set, wherein the energy scheduling instruction set includes a first type of energy scheduling instruction for the photovoltaic storage system and / or a second type of energy scheduling instruction for the distribution network system; The central control system controls the photovoltaic storage system and / or the distribution network system to perform charging operations according to the energy scheduling instruction set.
7. The charging control method for integrated photovoltaic storage and charging according to claim 6, characterized in that: The central control system controls the photovoltaic storage system and / or the distribution network system to perform a charging operation according to the energy scheduling instruction set, including: When the energy scheduling instruction set includes a first type of energy scheduling instruction for the photovoltaic storage system, the central control system sends the first type of energy scheduling instruction to the photovoltaic storage system, triggering the photovoltaic storage system to perform a charging operation matching the first type of energy scheduling instruction after receiving the first type of energy scheduling instruction; When the energy scheduling instruction set includes a second type of energy scheduling instruction for the distribution network system, the central control system sends the second type of energy scheduling instruction to the distribution network system, triggering the distribution network system to perform a charging operation matching the second type of energy scheduling instruction after receiving the second type of energy scheduling instruction.
8. A photovoltaic storage and charging microgrid system, characterized in that: The photovoltaic storage and charging microgrid system at least includes an energy management system and a central control system. The energy management system includes a first receiving module, a generating module and a first sending module. The central control system includes a second receiving module and a control module, wherein: The first receiving module is used to receive the electricity price change of the distribution network system and the SOC state set of the photovoltaic storage system; The generating module is used to generate an energy scheduling strategy set according to the electricity price change and the SOC state set; The first sending module is used to send the energy scheduling strategy set to the second receiving module; The second receiving module is used to receive the energy scheduling strategy set; The control module is used to control the distribution network system and / or the photovoltaic storage system to perform charging operations according to the energy scheduling strategy set received by the second receiving module. The charging operations include the operation of the distribution network system charging the photovoltaic storage system and / or the operation of the photovoltaic storage system charging the distribution network system.
9. A photovoltaic storage and charging microgrid system, characterized in that: The photovoltaic storage and charging microgrid system comprises: A memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the charging control method for integrated photovoltaic storage and charging as described in any one of claims 1-7.
10. A computer storage medium, characterized in that: The computer storage medium stores computer instructions, which, when called, are used to execute the photovoltaic storage and charging integrated control method as described in any one of claims 1-7.
