Intelligent electric energy management system and method

Abstract

The invention discloses an intelligent power utilization energy management system and method, and belongs to the technical field of energy management, and the system comprises an energy management controller, a new energy power generation system, an energy storage system, a first power conversion device, a second power conversion device, a third power conversion device, and a switching device disposed on a DC bus. The new energy power generation system is electrically connected with the direct current bus through the first power conversion device; the energy storage system is electrically connected with the direct current bus through a second power conversion device; the power supply output end of the switching device is electrically connected with a direct current load; the alternating-current power grid is electrically connected with a direct-current load through the third power conversion device; the controlled ends of the first power conversion device, the second power conversion device, the third power conversion device and the switch device are electrically connected with the energy control manager respectively; the problem that in the prior art, a reasonable power supply scheme cannot be selected according to the actual power utilization condition, so that the household power utilization cost is high is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of energy management, and in particular to an intelligent electricity energy management system and method. Background Art

[0002] In recent years, with the rapid rise of new energy technology and energy storage technology, energy Internet technology has continued to mature. Under the emerging energy Internet model, multiple forms of energy are required to achieve "multi-source complementarity" in parallel, and renewable energy is required to be prioritized. All links must coordinate and cooperate to reduce electricity costs and provide a cleaner and more efficient new energy supply model. At the same time, a number of clean and DC household appliances have been spawned to facilitate the seamless connection between distributed energy and power-consuming equipment. How to directly use DC power has become a key link in this new model.

[0003] Chinese patent, publication number: CN 105680495 A, publication date: June 15, 2016, discloses a solar household low-voltage DC power supply system, including: a solar energy collection mechanism, a power storage mechanism, a control mechanism and a power output mechanism; the solar energy collection mechanism is used to collect solar energy and convert it into electrical energy; the power storage mechanism is used to store the electrical energy collected and converted by the solar energy collection mechanism; the power output mechanism is used to output the battery power to the outside, which is compatible with the household power circuit; the control mechanism controls the operation of the system; the system can also include a mains charging circuit, when the photovoltaic panel has no power output, the charging circuit is automatically switched to convert the mains power into low-voltage DC power through the power storage mechanism, and supply it to the family through the power output mechanism; and the solar household low-voltage DC power supply system proposed by the invention only replaces part of the mains power by solar power generation, and cannot select a scientific power consumption plan according to the actual power consumption situation to save the family power cost. Summary of the invention

[0004] The purpose of the present invention is to address the problem of high household electricity costs caused by the inability to select a reasonable power supply plan according to actual electricity consumption in the prior art; an intelligent electricity energy management system and method are proposed, which analyzes the actual household electricity consumption through an energy control manager, flexibly controls the new energy power generation system, energy storage system, and AC power grid to coordinately perform power scheduling, and meets the household electricity demand while achieving the purpose of economical household electricity use, thereby overcoming the problem of high household electricity costs caused by the inability to select a reasonable power supply plan according to actual electricity consumption in the prior art.

[0005] In a first aspect, a technical solution provided in an embodiment of the present invention is an intelligent power consumption energy management system, comprising: an energy management controller, a new energy power generation system, an energy storage system, a first power conversion device, a second power conversion device, a third power conversion device, and a switch device arranged on a DC bus; The new energy power generation system is electrically connected to the DC bus through a first power conversion device; the energy storage system is electrically connected to the DC bus through a second power conversion device; the power output end of the switch device is electrically connected to the DC load; The AC power grid is electrically connected to the DC load through the third power conversion device; The controlled ends of the first power conversion device, the second power conversion device, the third power conversion device and the switching device are respectively electrically connected to the energy control manager; the energy management controller analyzes the real-time power data and outputs control instructions to control the new energy power generation system, the energy storage system and the AC power grid to perform power supply and demand operations.

[0006] In this solution, the energy management controller analyzes the actual situation of household electricity consumption based on real-time electric energy data, and outputs control instructions based on the analysis results, flexibly controls the new energy power generation system, the energy storage system and the AC power grid to perform power supply and demand operations, thereby providing a clean and efficient economic energy supply mode that prioritizes renewable energy. At the same time, the household electricity network served by this economic energy supply mode has the ability to directly utilize direct current and can be directly connected to the DC power grid; secondly, the new energy power generation system and the energy storage system can be used as power sources for DC loads like the AC power grid, and the energy storage system can also store the surplus electric energy generated by the new energy power generation system, thereby saving energy and reducing household electricity costs.

[0007] Preferably, the energy management controller comprises: a power collection unit, a data analysis unit and a switch control unit; the power collection unit is electrically connected to the first power conversion device, the second power conversion device and the third power conversion device respectively, and is used to collect real-time power data of the new energy power generation system, the energy storage system and the DC load; The data analysis unit analyzes the real-time electric energy data in combination with the real-time electricity price and outputs a switch control instruction; The switch control unit controls the new energy power generation system, the energy storage system and the AC power grid to perform power supply and demand operations according to the switch control instructions.

[0008] In this solution, the power acquisition unit collects real-time electric energy data to achieve the purpose of real-time monitoring of the working status of the renewable energy power generation system, the energy storage system and the DC load, and the power acquisition unit transmits the real-time electric energy data to the data analysis unit for analysis, and outputs the switch control instruction in combination with the real-time electricity price. After receiving the switch control instruction, the switch control unit controls the renewable energy power generation system, the energy storage system and the AC power grid to perform power supply and demand operations, thereby achieving the effect of reducing household electricity costs while ensuring the power quality of the DC load.

[0009] Preferably, the new energy power generation system comprises at least a photovoltaic power generation component and a wind power generation component, and the first power conversion device comprises at least a photovoltaic power conversion device and a wind turbine power conversion device; The photovoltaic power generation assembly is electrically connected to the DC bus through a photovoltaic power conversion device; The wind power generation component is electrically connected to the DC bus through a wind turbine power conversion device.

[0010] In this solution, the new energy power generation system includes at least photovoltaic power generation components and wind power generation components, and the first power conversion device corresponds to a photovoltaic power conversion device and a wind turbine power conversion device. Such a structure can not only adjust the output current of the new energy power generation system to make it output stably, but also realize the separate start and stop of different power generation components through separate corresponding power conversion devices, providing more options for the energy management controller to obtain control instructions for power supply and demand operations based on real-time power data analysis.

[0011] Preferably, the energy storage system comprises: a battery pack and an electric meter, wherein the battery pack is electrically connected to the DC bus through a second power conversion device; The electric energy data collection end of the battery pack is electrically connected to the collection end of the power collection unit through an electric quantity meter.

[0012] In this solution, the energy storage system includes a battery pack and a power meter. The power meter transmits the power data of the battery pack to the energy control manager, and can intuitively display the storage power of the battery pack in digital form, thereby realizing precise control of the power stored in the battery pack. At the same time, the battery pack is electrically connected to the DC bus through the second power conversion device, which not only realizes the independent control of the start and stop of the energy storage system, but also realizes the two-way conduction of power between the battery pack and the DC bus.

[0013] On the other hand, a technical solution also provided in an embodiment of the present invention is a smart power energy management method, comprising the following steps: S1. Collect real-time electric energy data and divide the real-time electric energy data into power data, electric quantity data and electricity price data; S2, judging whether the new energy power generation system meets the DC load demand based on the power data, if so, executing S3, if not, executing S4; S3, the energy control manager controls the third power conversion device to shut down and performs power supply and demand operations according to the power data; S4. The energy control manager controls the third power conversion device to close and performs power supply and demand operations according to the electricity price data.

[0014] In this scheme, real-time monitoring of the actual situation of household electricity consumption is achieved by collecting real-time electric energy data, and the real-time electric energy data is divided into power data, electricity data and electricity price data to provide data support for subsequent analysis and judgment; firstly, based on the premise of giving priority to renewable energy, the power data is combined to determine whether the new energy power generation system meets the DC load demand and determine the main power supply source for the DC load; secondly, based on the situation that the new energy power generation system is the main power supply source for the DC load, the electric energy data is combined to determine whether surplus electric energy can be stored to achieve the purpose of energy saving; finally, based on the situation that the AC power grid is the main power supply source for the DC load, the electricity price data is combined to determine the execution of electric energy supply and demand operations, thereby achieving the effect of selecting different power supply schemes according to the actual situation of household electricity consumption and using electricity efficiently and economically.

[0015] Preferably, in S2, the specific process of judging whether the new energy power generation system meets the DC load demand based on the power data is as follows: The power of the new energy power generation system is compared with the DC load power. If the power of the new energy power generation system is greater than or equal to the DC load power, it is determined that the new energy power generation system meets the DC load demand; otherwise, it is determined that the new energy power generation system does not meet the DC load demand.

[0016] In this scheme, the determination of the main power supply for the DC load is limited. When the power of the new energy power generation system is greater than or equal to the power of the DC load, it is deemed that the new energy power generation system meets the DC load demand. In this case, the main power supply for the DC load is selected as the new energy power generation system, which reduces the dependence of the DC load on the AC power grid and reduces the household electricity cost.

[0017] Preferably, in S3, the specific process of determining and executing the power supply and demand operation according to the power data is as follows: The power data is compared with the preset first peak value. If the power data is less than the first peak value, the energy control manager controls the new energy power generation system to supply power to the DC load and the energy storage system at the same time; if the power data is greater than or equal to the first peak value, the energy control manager controls the new energy power generation system to supply power to the DC load alone.

[0018] In this solution, the premise for judging the power data is that the new energy power generation system meets the DC load demand. Therefore, at this time, only the power data is compared with the preset first peak value to determine whether the surplus power generated by the new energy power generation system can be stored, reducing the power input of the AC power grid to the household power network, greatly reducing the household electricity cost, and at the same time, when the new energy power generation system fluctuates abnormally, the stability of the intelligent power energy management system is enhanced by releasing the power stored in the energy storage system, effectively improving the power quality of the DC load.

[0019] Preferably, in S4, the specific process of determining and executing the power supply and demand operation according to the electricity price data is: S41, comparing the electricity price data with a preset second peak value, if the electricity price data is greater than or equal to the second peak value, the energy control manager determines to perform an electricity supply and demand operation according to the electricity data, if the electricity price data is less than the second peak value, then executing S42; S42. Compare the electricity price data with the preset second valley value. If the electricity price data is greater than or equal to the second valley value, the energy control manager controls the AC power grid to supply power to the DC load alone. If the electricity price data is less than the second valley value, the energy control manager determines to execute power supply and demand operations based on the electricity data.

[0020] In this solution, based on the premise that the AC power grid is the main power supply for the DC load, the electricity price data is compared with the second peak value and the second valley value to determine whether the electricity price of the AC power grid is reasonable at this time, and the battery pack storage energy is judged based on the judgment result of the electricity price data to select the most economical power supply solution under the current actual power consumption conditions, which significantly reduces the household electricity cost.

[0021] Preferably, in S41, the specific process of the energy control manager determining to execute the power supply and demand operation according to the power data is as follows: The power data is compared with the preset first valley value. If the power data is greater than the first valley value, the energy control manager controls the new energy power generation system, the energy storage system and the AC power grid to supply power to the DC load at the same time. If the power data is less than or equal to the first valley value, the energy control manager controls the new energy power generation system and the AC power grid to supply power to the DC load at the same time.

[0022] Preferably, in S42, the specific process of the energy control manager determining to execute the power supply and demand operation according to the power data is as follows: The power data is compared with the preset first peak value. If the power data is less than the first peak value, the energy control manager controls the AC power grid to power the DC load and the energy storage system at the same time. If the power data is greater than or equal to the first peak value, the energy control manager controls the AC power grid to power the DC load alone.

[0023] The present invention has at least the following substantial effects: An intelligent electricity energy management system and method proposed in the present invention uses an energy management controller to collect real-time electricity data to realize real-time monitoring of the actual situation of household electricity consumption, and uses a new energy power generation system, an energy storage system and an AC power grid as the power supply for the DC load at the same time, thereby ensuring the power quality of the DC load while providing more options for the selection of the DC load power supply. Finally, the first power conversion device, the second power conversion device, the third power conversion device and the switch device arranged on the DC bus are combined to realize the separate or simultaneous control of the start and stop of the new energy power generation system, the energy storage system and the AC power grid, thereby providing a clean and efficient energy supply mode of "multi-source complementary" with multiple forms of power sources in parallel with renewable energy as the priority and the traditional AC power grid as the auxiliary, which can not only directly utilize DC power, but also significantly reduce the household electricity cost.

[0024] The above invention content is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented according to the contents of the specification. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Other features, objects and advantages of the present invention will become more apparent by reading the detailed description of non-limiting embodiments made with reference to the following drawings. The drawings are only for the purpose of illustrating preferred embodiments and are not to be considered as limiting the present invention. Also, the same reference symbols are used throughout the drawings to represent the same parts.

[0026] Figure 1 This is a structural diagram of an intelligent power energy management system of the present invention; Figure 2 This is a flow chart of an intelligent power energy management method of the present invention. DETAILED DESCRIPTION

[0027] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific implementation method described herein is only an optimal embodiment of the present invention, which is only used to explain the present invention and does not limit the scope of protection of the present invention. All other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0028] Before discussing the exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flow charts. Although the flow charts describe the operations (or steps) as sequential processes, many of the operations (or steps) therein can be implemented in parallel, concurrently, or simultaneously. In addition, the order of the operations can be rearranged. The process can be terminated when its operation is completed, but can also have additional steps not included in the drawings; the process can correspond to a method, function, procedure, subroutine, subprogram, etc.

[0029] Embodiment 1: like Figure 1 As shown, this embodiment provides an intelligent power energy management system, including: An energy management controller, a new energy power generation system, an energy storage system, a first power conversion device, a second power conversion device, a third power conversion device, and a switch device arranged on a DC bus; The new energy power generation system is electrically connected to the DC bus through a first power conversion device; the energy storage system is electrically connected to the DC bus through a second power conversion device; the power output end of the switch device is electrically connected to the DC load; The AC power grid is electrically connected to the DC load through the third power conversion device; The controlled ends of the first power conversion device, the second power conversion device, the third power conversion device and the switching device are respectively electrically connected to the energy control manager; the energy management controller analyzes the real-time power data and outputs control instructions to control the new energy power generation system, the energy storage system and the AC power grid to perform power supply and demand operations.

[0030] In this embodiment, the first power conversion device is a unidirectional DC / DC converter, whose input end is connected to the output end of the new energy power generation system and the output end is connected to the DC bus, so as to ensure that electric energy can only be generated by the new energy power generation system and transmitted to the DC bus in one direction, and the unidirectional DC / DC converter can control the on and off of the new energy power generation system and the DC bus; the second power conversion device is a bidirectional DC / DC converter, whose first end is connected to the energy storage system and the second end is connected to the DC bus, so as to ensure that electric energy can be transmitted bidirectionally between the energy storage system and the DC bus, so as to achieve the effect that the energy storage system can absorb surplus electric energy and supply power to the DC load at the same time, and the bidirectional DC / The DC converter can control the on-off of the energy storage system and the DC bus; the third power conversion device is a three-phase rectifier bridge, whose input end is connected to the AC power grid and the output end is connected to the DC bus, which can convert the AC power input from the AC power grid into DC power and control the on-off of the AC power grid and the DC bus; the switching device is a DC switch, which can be installed on the DC bus to simultaneously control the on-off of the new energy power generation system and the energy storage system, so as to achieve the effect that the new energy power generation system supplies power to the energy storage system alone; in addition, a DC power meter can be installed in front of the input port of the DC load to improve the accuracy of collecting real-time power data of the DC load, and at the same time improve the accuracy of data analysis by the energy control manager.

[0031] In one embodiment, in order to make the energy control manager run more stably, this embodiment adopts a functional partitioning scheme. Specifically, the energy management controller includes: a power collection unit, a data analysis unit and a switch control unit; The power collection unit is electrically connected to the first power conversion device, the second power conversion device, and the third power conversion device, respectively, and is used to collect real-time power data of the new energy power generation system, the energy storage system, and the DC load; The data analysis unit analyzes the real-time electric energy data in combination with the real-time electricity price and outputs a switch control instruction; The switch control unit controls the new energy power generation system, the energy storage system and the AC power grid to perform power supply and demand operations according to the switch control instructions.

[0032] In this embodiment, the energy control manager is divided into a power collection unit, a data analysis unit and a switch control unit according to its functions. The power collection unit is used to collect real-time power data of the new energy power generation system, the energy storage system and the DC load, so as to realize real-time monitoring of the actual household electricity consumption, and transmit the real-time power data to the data analysis unit for analysis. The data analysis unit combines the real-time electricity price to output the most appropriate switch control instruction based on the current actual household electricity consumption. When the switch control unit receives the switch control instruction, it controls the on and off of the corresponding device according to the instruction to realize that different power sources are used to power the DC load.

[0033] In one embodiment, in order to enhance the stability of the new energy power generation system, this embodiment adopts a solution of multiple power generation components. Specifically, the new energy power generation system includes at least a photovoltaic power generation component and a wind power generation component, and the first power conversion device includes at least a photovoltaic power conversion device and a wind turbine power conversion device; The photovoltaic power generation assembly is electrically connected to the DC bus through a photovoltaic power conversion device; The wind power generation component is electrically connected to the DC bus through a wind turbine power conversion device.

[0034] In this embodiment, the new energy power generation system at least includes photovoltaic power generation components and wind power generation components. If conditions permit, it can also have multiple groups of photovoltaic power generation components, multiple groups of wind power generation components, or other types of new energy power generation components; secondly, each power generation component corresponds to an electric power conversion device. In addition to converting the electric energy generated by the power generation component into a stable output, such a structure can also individually control the on and off of each power generation component and the DC bus, and select the power supply according to the actual situation.

[0035] In one embodiment, in order to enhance the stability of the energy storage system, this embodiment adopts an electric meter solution. Specifically, the energy storage system includes: a battery pack and an electric meter, wherein the battery pack is electrically connected to the DC bus through a second power conversion device; The electric energy data collection end of the battery pack is electrically connected to the collection end of the power collection unit through an electric quantity meter.

[0036] In this embodiment, the energy storage system includes a battery pack and a power meter, wherein the battery pack can be set as one or more battery packs, or the type of battery can be changed according to actual needs; in addition, the power meter collects the electric energy stored in the battery pack and reflects it in the energy management controller in digital form, thereby improving the accuracy of the real-time electric energy data of the energy storage system and providing strong support for the subsequent judgment process.

[0037] like Figure 2 As shown, this embodiment also provides an intelligent power energy management method, comprising the following steps: S1. Collect real-time electric energy data and divide the real-time electric energy data into power data, electric quantity data and electricity price data.

[0038] In this embodiment, the power data includes the power of the new energy power generation system and the DC load power, wherein the power of the new energy power generation system is the sum of the power of the photovoltaic power generation component and the power of the wind power generation component; the power data is the real-time stored electric energy of the energy storage system; and the electricity price data is the real-time electricity price of the AC power grid.

[0039] S2. Determine whether the new energy power generation system meets the DC load demand based on the power data. If so, execute S3; if not, execute S4.

[0040] In one embodiment, in order to determine the main power supply source of the DC load, this embodiment adopts a power data solution, which specifically includes: The power of the new energy power generation system is compared with the DC load power. If the power of the new energy power generation system is greater than or equal to the DC load power, it is determined that the new energy power generation system meets the DC load demand; otherwise, it is determined that the new energy power generation system does not meet the DC load demand.

[0041] In this embodiment, the power data in the real-time electric energy data contains the power of the new energy power generation system and the DC load power, and the power of the new energy power generation system is marked as P. new , and the DC load power is marked as P L ; At this time, P new and P L Perform judgment analysis. If P new ≥P L , then it is judged that the new energy power generation system meets the DC load demand, and the new energy power generation system is selected as the main power supply for the DC load. If P new <P L , it is judged that the new energy power generation system does not meet the DC load demand, and the AC power grid is selected as the main power supply for the DC load.

[0042] S3. The energy control manager controls the third power conversion device to shut down and performs power supply and demand operations according to the power data.

[0043] In one embodiment, in order to determine a specific power supply scheme when the new energy power generation system is used as the main power supply source for the DC load, this embodiment adopts a surplus power storage scheme, which specifically includes: The power data is compared with the preset first peak value. If the power data is less than the first peak value, the energy control manager controls the new energy power generation system to supply power to the DC load and the energy storage system at the same time; if the power data is greater than or equal to the first peak value, the energy control manager controls the new energy power generation system to supply power to the DC load alone.

[0044] In this embodiment, since the optimal working state of the energy storage system is 20% to 80% of its rated energy storage, 80% of its rated energy storage is set as SOC max , i.e. the first peak value, and the real-time stored electric energy of the energy storage system is marked as SOC, i.e. electric quantity data; at this time, SOC and SOC max Perform judgment analysis. If SOC<SOC max, the energy control manager issues a switch control instruction to control the first power conversion device to conduct, the second power conversion device to reverse conduct, and the switch device to close, so as to realize the purpose of using the energy storage system to absorb surplus electric energy while the new energy power generation system supplies power to the DC load; if SOC ≥ SOC max , the energy control manager issues a switch control instruction to control the first power conversion device to be turned on, the second power conversion device to be turned off, and the switch device to be closed, so that the new energy power generation system can supply power to the DC load alone.

[0045] S4. The energy control manager controls the third power conversion device to close and performs power supply and demand operations according to the electricity price data.

[0046] In one embodiment, in order to determine a specific power supply scheme when the AC power grid is used as the main power supply source for the DC load, this embodiment adopts an electricity price data scheme, which specifically includes the following steps: S41. Compare the electricity price data with a preset second peak value. If the electricity price data is greater than or equal to the second peak value, the energy control manager determines to execute the electricity supply and demand operation according to the electricity data. If the electricity price data is less than the second peak value, execute S42.

[0047] In one embodiment, in order to reduce the electricity cost when the electricity price data is greater than or equal to the second peak value, this embodiment adopts an electricity data solution, which specifically includes: The power data is compared with the preset first valley value. If the power data is greater than the first valley value, the energy control manager controls the new energy power generation system, the energy storage system and the AC power grid to supply power to the DC load at the same time. If the power data is less than or equal to the first valley value, the energy control manager controls the new energy power generation system and the AC power grid to supply power to the DC load at the same time.

[0048] In this embodiment, the electricity price data includes the real-time electricity price K of the AC power grid and the preset action electricity price K min , K max , where the second peak is K max ; At the same time, the power data is marked as the real-time stored power of the energy storage system, specifically marked as SOC, and 20% of the rated energy storage of the energy storage system is set as the first valley value, marked as SOC min ; When K ≥ K max When combining SOC and SOC min Further analysis: if SOC>SOC min , the energy control manager controls the first power conversion device, the third power conversion device and the switch device to be turned on, and controls the second power conversion device to be forward-conducted, so that the new energy power generation system, the energy storage system and the AC power grid can simultaneously supply power to the DC load; if SOC≤SOC min, the energy control manager controls the first power conversion device, the third power conversion device and the switch device to be turned on, and controls the second power conversion device to be turned off, so that the new energy power generation system and the AC power grid can supply power to the DC load at the same time.

[0049] S42. Compare the electricity price data with the preset second valley value. If the electricity price data is greater than or equal to the second valley value, the energy control manager controls the AC power grid to supply power to the DC load alone. If the electricity price data is less than the second valley value, the energy control manager determines to execute power supply and demand operations based on the electricity data.

[0050] In one embodiment, in order to reduce the electricity cost when the electricity price data is less than the second peak value, this embodiment adopts an electricity data solution, which specifically includes: The power data is compared with the preset first peak value. If the power data is less than the first peak value, the energy control manager controls the AC power grid to power the DC load and the energy storage system at the same time. If the power data is greater than or equal to the first peak value, the energy control manager controls the AC power grid to power the DC load alone.

[0051] In this embodiment, the electricity price data includes the real-time electricity price K of the AC power grid and the preset action electricity price K min , K max , where the second peak is K max , the second valley value is K min ; At the same time, the power data is marked as the real-time stored power of the energy storage system, specifically marked as SOC, and 80% of the rated energy storage of the energy storage system is set as the first valley value, marked as SOC max ; Based on K<K min In the case of max Further analysis: if SOC<SOC max , the energy control manager controls the third power conversion device and the switch device to close, the first power conversion device to disconnect, and controls the second power conversion device to reverse conduction, so that the AC power grid can supply power to the DC load and the energy storage system at the same time; if SOC ≥ SOC max , the energy control manager controls the third power conversion device to close, so that the AC power grid can supply power to the DC load alone. At the same time, the energy control manager controls the switch device to disconnect, the first power conversion device to close, and the second power conversion device to reverse conduction, and uses the new energy power generation system to maintain the energy storage system's energy storage unchanged, thereby ensuring that when an abnormal situation occurs in the AC power grid and the power of the new energy power generation system cannot meet the power demand of the DC load, the energy storage system can have enough electric energy to supply energy to the DC load, which significantly improves the stability of the intelligent power consumption energy management system.

[0052] This embodiment has at least the following substantial effects: An intelligent electricity energy management system and method proposed in this embodiment uses an energy management controller to collect real-time electricity data to realize real-time monitoring of the actual situation of household electricity consumption, and uses a new energy power generation system, an energy storage system and an AC power grid as the power supply for the DC load at the same time, thereby ensuring the power quality of the DC load while making the selection of the DC load power supply have more possibilities. Finally, combined with the first power conversion device, the second power conversion device, the third power conversion device and the switch device arranged on the DC bus, the start and stop of the new energy power generation system, the energy storage system and the AC power grid are controlled separately or simultaneously, thereby providing a clean and efficient energy supply mode of "multi-source complementary" with multiple forms of power sources in parallel with renewable energy as the priority and the traditional AC power grid as the auxiliary, which can not only directly utilize DC power, but also significantly reduce the household electricity cost.

[0053] The above specific embodiments are preferred embodiments of the present invention, and are not intended to limit the specific implementation scope of the present invention. The scope of the present invention includes but is not limited to the present specific embodiments. All equivalent changes made in accordance with the shape, structure, and method of the present invention are within the protection scope of the present invention.

Claims

1. An intelligent power energy management system, characterized in that: The system comprises: an energy management controller, a new energy power generation system, an energy storage system, a first power conversion device, a second power conversion device, a third power conversion device and a switch device arranged on a DC bus; The new energy power generation system is electrically connected to the DC bus through a first power conversion device; the energy storage system is electrically connected to the DC bus through a second power conversion device; the power output end of the switch device is electrically connected to the DC load; The AC power grid is electrically connected to the DC load through the third power conversion device; The controlled ends of the first power conversion device, the second power conversion device, the third power conversion device and the switching device are respectively electrically connected to the energy control manager; the energy management controller analyzes the real-time power data and outputs control instructions to control the new energy power generation system, the energy storage system and the AC power grid to perform power supply and demand operations.

2. The intelligent power energy management system according to claim 1, characterized in that: The energy management controller includes: a power collection unit, a data analysis unit and a switch control unit; The power collection unit is electrically connected to the first power conversion device, the second power conversion device, and the third power conversion device, respectively, and is used to collect real-time power data of the new energy power generation system, the energy storage system, and the DC load; The data analysis unit analyzes the real-time electric energy data in combination with the real-time electricity price and outputs a switch control instruction; The switch control unit controls the new energy power generation system, the energy storage system and the AC power grid to perform power supply and demand operations according to the switch control instructions.

3. The intelligent power energy management system according to claim 1, characterized in that: The new energy power generation system at least includes a photovoltaic power generation component and a wind power generation component, and the first power conversion device at least includes a photovoltaic power conversion device and a wind turbine power conversion device; The photovoltaic power generation assembly is electrically connected to the DC bus through a photovoltaic power conversion device; The wind power generation component is electrically connected to the DC bus through a wind turbine power conversion device.

4. The intelligent power energy management system according to claim 2, characterized in that: The energy storage system comprises: a battery pack and a power meter, wherein the battery pack is electrically connected to the DC bus through a second power conversion device; The electric energy data collection end of the battery pack is electrically connected to the collection end of the power collection unit through an electric quantity meter.

5. An intelligent power energy management method, applicable to an intelligent power energy management system as claimed in any one of claims 1 to 4, characterized in that: The method comprises the following steps: S1. Collect real-time electric energy data and divide the real-time electric energy data into power data, electric quantity data and electricity price data; S2, judging whether the new energy power generation system meets the DC load demand based on the power data, if so, executing S3, if not, executing S4; S3, the energy control manager controls the third power conversion device to shut down and performs power supply and demand operations according to the power data; S4. The energy control manager controls the third power conversion device to close and performs power supply and demand operations according to the electricity price data.

6. The intelligent power energy management method according to claim 5, characterized in that: In S2, the specific process of judging whether the new energy power generation system meets the DC load demand based on the power data is as follows: The power of the new energy power generation system is compared with the DC load power. If the power of the new energy power generation system is greater than or equal to the DC load power, it is determined that the new energy power generation system meets the DC load demand; otherwise, it is determined that the new energy power generation system does not meet the DC load demand.

7. The intelligent power energy management method according to claim 5, characterized in that: In S3, the specific process of determining and executing the power supply and demand operation according to the power data is as follows: The power data is compared with the preset first peak value. If the power data is less than the first peak value, the energy control manager controls the new energy power generation system to supply power to the DC load and the energy storage system at the same time; if the power data is greater than or equal to the first peak value, the energy control manager controls the new energy power generation system to supply power to the DC load alone.

8. The intelligent power energy management method according to claim 5, characterized in that: In S4, the specific process of determining and executing the power supply and demand operation according to the electricity price data is as follows: S41, comparing the electricity price data with a preset second peak value, if the electricity price data is greater than or equal to the second peak value, the energy control manager determines to perform an electricity supply and demand operation according to the electricity data, if the electricity price data is less than the second peak value, then executing S42; S42. Compare the electricity price data with the preset second valley value. If the electricity price data is greater than or equal to the second valley value, the energy control manager controls the AC power grid to supply power to the DC load alone. If the electricity price data is less than the second valley value, the energy control manager determines to execute power supply and demand operations based on the electricity data.

9. The intelligent power energy management method according to claim 8, characterized in that: In S41, the specific process of the energy control manager determining to execute the power supply and demand operation according to the power data is as follows: The power data is compared with the preset first valley value. If the power data is greater than the first valley value, the energy control manager controls the new energy power generation system, the energy storage system and the AC power grid to supply power to the DC load at the same time. If the power data is less than or equal to the first valley value, the energy control manager controls the new energy power generation system and the AC power grid to supply power to the DC load at the same time.

10. The intelligent power energy management method according to claim 8, characterized in that: In S42, the specific process of the energy control manager determining to execute the power supply and demand operation according to the power data is as follows: The power data is compared with the preset first peak value. If the power data is less than the first peak value, the energy control manager controls the AC power grid to power the DC load and the energy storage system at the same time. If the power data is greater than or equal to the first peak value, the energy control manager controls the AC power grid to power the DC load alone.

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