Method and device for determining output power of energy management system, equipment, medium and product

Abstract

The invention relates to an energy management system output power determination method and device, equipment, a medium and a product. Comprising the following steps: constructing a power output model of a public building based on photovoltaic power generation parameters, energy storage charging and discharging parameters and power distribution parameters of a charging station in the operation process of an energy management system; the power output model comprises a photovoltaic power output model, an energy storage model and a charging station power output model; determining the output power of the energy management system based on the power output model, a preset constraint condition and a target function; the preset constraint condition comprises at least one of a photovoltaic equipment output power constraint, an energy storage system charge state and charge-discharge power constraint and a charging station power distribution constraint; the objective function means that the total cost of the energy management system is minimum. By adopting the method, the output power of the energy management system can be obtained under the condition that the operation cost of the energy management system is minimum, so that economic operation and flexible scheduling of the system are realized.

Description

Technical Field

[0001] This application relates to the field of energy management technology for public buildings, and in particular to a method, apparatus, equipment, medium, and product for determining the output power of an energy management system. Background Technology

[0002] Energy management in public buildings is crucial for reducing energy consumption, improving economic efficiency, and meeting grid demand response requirements. Compared to residential buildings, public buildings not only have higher energy density but also longer operating hours, more diverse equipment, and more complex energy usage patterns. Furthermore, public buildings account for a significant proportion of urban energy consumption; therefore, optimizing their energy management is of great importance to improving the overall energy efficiency and sustainable development of the city.

[0003] However, due to the uncertainty of photovoltaic output, the complexity of energy storage systems, and the diversity of electric vehicle charging demands, traditional energy management methods often struggle to achieve optimal system operation. In practical applications, photovoltaic-energy storage-charging station systems typically need to consider the volatility of photovoltaic power generation, the charging and discharging constraints of energy storage devices, and the power allocation requirements of charging stations.

[0004] However, existing methods often struggle to simultaneously balance economy, flexibility, and demand responsiveness when optimizing dispatch, resulting in high system operating costs and difficulty in meeting the dynamic demand response requirements of the power grid. Therefore, ensuring the output power of the energy management system while keeping system operating costs low has become an urgent problem to be solved. Summary of the Invention

[0005] Therefore, it is necessary to provide a method, apparatus, equipment, medium, and product for determining the output power of an energy management system that can guarantee the output power of the energy management system while keeping the system operating costs low, in order to address the above-mentioned technical problems.

[0006] In a first aspect, this application provides a method for determining the output power of an energy management system, comprising:

[0007] Based on the photovoltaic power generation parameters, energy storage charging and discharging parameters, and charging station power allocation parameters during the operation of the energy management system, a power output model for public buildings is constructed; the power output model includes a photovoltaic power output model, an energy storage model, and a charging station power output model.

[0008] Based on the power output model, preset constraints, and objective function, the output power of the energy management system is determined. The preset constraints include at least one of the following: photovoltaic equipment output power constraints, energy storage system state of charge and charging / discharging power constraints, and charging station power allocation constraints. The objective function is to minimize the total cost of the energy management system.

[0009] In one embodiment, a photovoltaic power output model is constructed based on photovoltaic power generation parameters during the operation of the energy management system, including:

[0010] Obtain the solar irradiance and temperature parameters of the photovoltaic system in the energy management system;

[0011] A photovoltaic power output model is constructed based on solar irradiance and temperature parameters.

[0012] In one embodiment, an energy storage model is constructed based on the energy storage charging and discharging parameters during the operation of the energy management system, including:

[0013] Acquire the state of charge, charge / discharge efficiency, and charge / discharge power of the energy storage system in the energy management system;

[0014] An energy storage model is constructed based on the state of charge, charge / discharge efficiency, and charge / discharge power.

[0015] In one embodiment, a charging station power output model is constructed based on the power allocation parameters of the charging station during the operation of the energy management system, including:

[0016] Obtain connection time information between the charging station and the entity to be charged, as well as the charging and discharging power of the charging station, from the energy management system.

[0017] Based on the connection time information and charging / discharging power, a power output model for the charging station is constructed.

[0018] In one embodiment, determining the output power of the energy management system based on the power output model, preset constraints, and objective function includes:

[0019] Based on the preset constraints and objective function, the power output model is solved to obtain the output power of the energy management system.

[0020] In one embodiment, the total cost of the energy management system includes electricity purchase cost, energy storage operation cost, charging pile operation cost, photovoltaic operation cost, and charging cost of the entity to be charged.

[0021] Secondly, this application also provides a device for determining the output power of an energy management system, comprising:

[0022] The module is used to construct a power output model for public buildings based on the photovoltaic power generation parameters, energy storage charging and discharging parameters, and charging station power allocation parameters obtained during the operation of the energy management system. The power output model includes a photovoltaic power output model, an energy storage model, and a charging station power output model.

[0023] The determination module is used to determine the output power of the energy management system based on the power output model, preset constraints, and objective function. The preset constraints include at least one of the following: photovoltaic equipment output power constraints, energy storage system state of charge and charge / discharge power constraints, and charging station power allocation constraints. The objective function is to minimize the total cost of the energy management system.

[0024] Thirdly, this application also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to perform the following steps:

[0025] Based on the photovoltaic power generation parameters, energy storage charging and discharging parameters, and charging station power allocation parameters during the operation of the energy management system, a power output model for public buildings is constructed; the power output model includes a photovoltaic power output model, an energy storage model, and a charging station power output model.

[0026] Based on the power output model, preset constraints, and objective function, the output power of the energy management system is determined. The preset constraints include at least one of the following: photovoltaic equipment output power constraints, energy storage system state of charge and charging / discharging power constraints, and charging station power allocation constraints. The objective function is to minimize the total cost of the energy management system.

[0027] Fourthly, this application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, performs the following steps:

[0028] Based on the photovoltaic power generation parameters, energy storage charging and discharging parameters, and charging station power allocation parameters during the operation of the energy management system, a power output model for public buildings is constructed; the power output model includes a photovoltaic power output model, an energy storage model, and a charging station power output model.

[0029] Based on the power output model, preset constraints, and objective function, the output power of the energy management system is determined. The preset constraints include at least one of the following: photovoltaic equipment output power constraints, energy storage system state of charge and charging / discharging power constraints, and charging station power allocation constraints. The objective function is to minimize the total cost of the energy management system.

[0030] Fifthly, this application also provides a computer program product, including a computer program that, when executed by a processor, performs the following steps:

[0031] Based on the photovoltaic power generation parameters, energy storage charging and discharging parameters, and charging station power allocation parameters during the operation of the energy management system, a power output model for public buildings is constructed; the power output model includes a photovoltaic power output model, an energy storage model, and a charging station power output model.

[0032] Based on the power output model, preset constraints, and objective function, the output power of the energy management system is determined. The preset constraints include at least one of the following: photovoltaic equipment output power constraints, energy storage system state of charge and charging / discharging power constraints, and charging station power allocation constraints. The objective function is to minimize the total cost of the energy management system.

[0033] The aforementioned method, apparatus, equipment, medium, and product for determining the output power of the energy management system construct photovoltaic power output models, energy storage models, and charging station power output models by using photovoltaic power generation parameters, energy storage charging and discharging parameters, and charging station power allocation parameters during the operation of the energy management system. Based on preset constraints and objective functions, the photovoltaic power output models, energy storage models, and charging station power output models are solved to obtain the output power of the energy management system. This method can obtain the output power of the energy management system while minimizing the operating cost of the energy management system, thereby achieving economic operation and flexible scheduling of the system, while meeting the demand response requirements of the power grid. Attached Figure Description

[0034] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the drawings used in the description of the embodiments of this application or related technologies will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0035] Figure 1 This is an application environment diagram of a method for determining the output power of an energy management system in one embodiment;

[0036] Figure 2 This is a flowchart illustrating a method for determining the output power of an energy management system in one embodiment.

[0037] Figure 3 This is a flowchart illustrating a method for determining the output power of an energy management system in another embodiment;

[0038] Figure 4 This is a flowchart illustrating a method for determining the output power of an energy management system in another embodiment;

[0039] Figure 5 This is a flowchart illustrating a method for determining the output power of an energy management system in another embodiment;

[0040] Figure 6 This is a schematic diagram of the power scheduling process of photovoltaic-energy storage-charging station in one embodiment;

[0041] Figure 7This is a schematic diagram of the operation of a photovoltaic-energy storage-charging station system in one embodiment;

[0042] Figure 8 This is a flowchart illustrating a method for determining the output power of an energy management system in another embodiment;

[0043] Figure 9 This is a structural block diagram of a device for determining the output power of an energy management system in one embodiment. Detailed Implementation

[0044] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0045] Energy management in public buildings is crucial for reducing energy consumption, improving economic efficiency, and meeting grid demand response requirements. Compared to residential buildings, public buildings not only have higher energy density but also longer operating hours, more diverse equipment, and more complex energy usage patterns. Furthermore, public buildings account for a significant proportion of urban energy consumption; therefore, optimizing their energy management is of great importance to improving the overall energy efficiency and sustainable development of the city.

[0046] However, due to the uncertainty of photovoltaic output, the complexity of energy storage systems, and the diversity of electric vehicle charging demands, traditional energy management methods often struggle to achieve optimal system operation. In practical applications, photovoltaic-energy storage-charging station systems typically need to consider the volatility of photovoltaic power generation, the charging and discharging constraints of energy storage devices, and the power allocation requirements of charging stations.

[0047] However, existing methods often struggle to simultaneously balance economy, flexibility, and demand responsiveness when optimizing dispatch, resulting in high system operating costs and difficulty in meeting the dynamic demand response requirements of the power grid. Therefore, ensuring the output power of the energy management system while maintaining low system operating costs has become a pressing issue. This application aims to provide a method for determining the output power of an energy management system, thereby addressing this problem.

[0048] Having described the background technology of the method for determining the output power of an energy management system provided in the embodiments of this application, the implementation environment involved in the method for determining the output power of an energy management system provided in the embodiments of this application will be briefly described below. The method for determining the output power of an energy management system provided in the embodiments of this application can be applied to, for example... Figure 1 The internal structure diagram of the computer device shown can be as follows: Figure 1As shown, the computer device includes a processor, memory, input / output interfaces, a communication interface, a display unit, and an input device. The processor, memory, and input / output interfaces are connected via a system bus, and the communication interface, display unit, and input device are also connected to the system bus via the input / output interfaces. The processor provides computational and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The input / output interfaces are used for exchanging information between the processor and external devices, including compact discs (CDs), digital versatile discs (DVDs), or universal serial bus (USB) flash drives. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, mobile cellular networks, near field communication (NFC), or other technologies. When executed by the processor, the computer program implements a method for determining the output power of an energy management system. The display unit of this computer device is used to form a visually visible image and can be a display screen, a projection device, or a virtual reality imaging device. The display screen can be an LCD screen or an e-ink screen. The input device of this computer device can be a touch layer covering the display screen, or buttons, a trackball, or a touchpad set on the casing of the computer device, or an external keyboard, touchpad, or mouse, etc.

[0049] The technical solution of this application and how the technical solution of this application solves the above-mentioned technical problems are described in detail below with specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments. The embodiments of this application will now be described with reference to the accompanying drawings.

[0050] In one embodiment, such as Figure 2 As shown, a method for determining the output power of an energy management system is provided, which can be applied to... Figure 1 Taking a computer device as an example, the explanation includes the following steps:

[0051] S201. Based on the photovoltaic power generation parameters, energy storage charging and discharging parameters, and charging station power allocation parameters during the operation of the energy management system, construct a power output model for public buildings; the power output model includes a photovoltaic power output model, an energy storage model, and a charging station power output model.

[0052] In this embodiment, when it is necessary to determine the output power of the energy management system, the photovoltaic power generation parameters, energy storage charging and discharging parameters, and charging station power allocation parameters during the operation of the energy management system can be obtained first. Based on the photovoltaic power generation parameters during the operation of the energy management system, a photovoltaic power output model can be constructed. Based on the energy storage charging and discharging parameters during the operation of the energy management system, an energy storage model can be constructed. Based on the power allocation parameters of the charging station, a charging station power output model can be constructed.

[0053] S202. Based on the power output model, preset constraints, and objective function, determine the output power of the energy management system; the preset constraints include at least one of the following: photovoltaic equipment output power constraints, energy storage system state of charge and charging / discharging power constraints, and charging station power allocation constraints; the objective function is to minimize the total cost of the energy management system.

[0054] In this embodiment, after determining the power output model, preset constraints can be set in advance, including at least one of photovoltaic equipment output power constraints, energy storage system state of charge and charging / discharging power constraints, and charging station power allocation constraints. The total cost of the energy management system is predetermined as the objective function. The power output model is solved according to the preset constraints and the objective function to obtain the output power of the energy management system. The output power of the energy management system is then output to the device to be charged, such as a new energy vehicle.

[0055] Optionally, the preset constraints include at least one of the following: photovoltaic equipment output power constraints, energy storage system state of charge and charging / discharging power constraints, and charging station power allocation constraints.

[0056] Optionally, the photovoltaic power constraint can be as shown in equation (1):

[0057] (1);

[0058] In the formula, This indicates the power output of the photovoltaic generator set at a certain moment. This represents the maximum power under standard test conditions.

[0059] Optionally, the upper and lower limits of the energy storage charge and discharge state constraints can be as shown in equation (2):

[0060] (2);

[0061] In the formula, and These represent the lower and upper limits of the charging state of the energy storage system, respectively. This represents the state of charge of the energy storage system at a certain moment.

[0062] Optionally, the energy storage charging and discharging power constraint can be as shown in equation (3):

[0063] (3);

[0064] In the formula, , , , These are the upper and lower limits of charging and discharging power, respectively. This refers to the binary state variable of energy storage charging power. It refers to the binary state variable of energy storage discharge power.

[0065] The optional power increase constraint can be shown in equation (4) below:

[0066] (4);

[0067] In the formula, , , and These are the upper and lower limits of the ramp power during charging and discharging, respectively.

[0068] The charging and discharging states of a charging pile, as well as the upper and lower limits of its charging and discharging power and ramp power, can be equivalent to an energy storage system.

[0069] Optionally, the charging pile scheduling time constraint can be as shown in equation (5):

[0070] (5);

[0071] Meanwhile, electric vehicles should be fully charged when leaving a charging station.

[0072] (6);

[0073] In the formula, This refers to the charging status of an electric vehicle when it leaves a charging station. This refers to the maximum charging state of an electric vehicle.

[0074] In this embodiment, photovoltaic power output model, energy storage model, and charging station power output model are constructed by using photovoltaic power generation parameters, energy storage charging and discharging parameters, and charging station power allocation parameters during the operation of the energy management system. The photovoltaic power output model, energy storage model, and charging station power output model are solved based on preset constraints and objective functions to obtain the output power of the energy management system. This allows the output power of the energy management system to be obtained with the minimum operating cost, thereby achieving economic operation and flexible scheduling of the system while meeting the demand response requirements of the power grid.

[0075] In one embodiment, the process of constructing a photovoltaic power output model can also be described in detail, see [link to relevant documentation]. Figure 3 That is, the aforementioned "constructing a photovoltaic power output model based on photovoltaic power generation parameters during the operation of the energy management system" includes:

[0076] S301. Obtain the solar irradiance parameters and temperature parameters of the photovoltaic system in the energy management system.

[0077] Among them, solar irradiance parameters include solar irradiance parameters under actual test conditions and solar irradiance parameters under standard test conditions.

[0078] The temperature parameters include actual temperature parameters, standard temperature parameters, and the temperature of the photovoltaic cell during normal operation.

[0079] In this embodiment, when constructing the photovoltaic power output model, the solar irradiance parameters and temperature parameters of the photovoltaic system in the energy management system can be obtained first.

[0080] S302. Construct a photovoltaic power output model based on solar irradiance parameters and temperature parameters.

[0081] In this embodiment, after obtaining the solar irradiance parameters and temperature parameters, a photovoltaic power output model can be constructed based on the solar irradiance parameters and temperature parameters.

[0082] Optionally, a method for constructing a photovoltaic power output model is provided below, see formulas (7)-(8):

[0083] (7);

[0084] (8);

[0085] In the formula, This represents the maximum power under standard test conditions. and These represent solar irradiance under actual and standard test conditions, respectively. and These are the actual temperature and the standard temperature, respectively. For conversion factors, This refers to the temperature of a photovoltaic cell during normal operation. This represents the power output of the photovoltaic (PV) generator at a specific moment. This also represents the efficiency of distributed PV power generation at a specific moment, which is related to the sunlight-receiving area of ​​the distributed PV system at that moment.

[0086] at the same time, Considering the uncertainties in photovoltaic power generation, a normal distribution probability model is used for modeling. It can be expressed by the following formula (9):

[0087] (9);

[0088] In the formula, and is a parameter in a normal distribution.

[0089] In this embodiment, a photovoltaic power output model is constructed based on solar irradiance parameters and temperature parameters, providing a data foundation for determining the output power of the energy management system based on the photovoltaic power output model.

[0090] In one embodiment, the process of constructing the energy storage model can also be described in detail, see [link to relevant documentation]. Figure 4 That is, the aforementioned "constructing an energy storage model based on energy storage charging and discharging parameters during the operation of the energy management system" includes:

[0091] S401. Obtain the state of charge, charging and discharging efficiency, and charging and discharging power of the energy storage system in the energy management system.

[0092] Among them, the state of charge includes the initial state of charge of the energy storage system in the energy management system, the state of charge of the energy storage system at a certain moment, the maximum charge of the energy storage system, and the upper limit of the nuclear power state of the energy storage system.

[0093] Among them, charge and discharge efficiency includes the charging efficiency and discharging efficiency of the energy storage system.

[0094] Among them, charging and discharging power includes the charging power and discharging power of the energy storage system.

[0095] In this embodiment, when constructing the energy storage model, the state of charge, charging and discharging efficiency, and charging and discharging power of the energy storage system in the energy management system can be obtained first.

[0096] S402. Construct an energy storage model based on the state of charge and charging / discharging power.

[0097] In this embodiment, after obtaining the state of charge, charge / discharge efficiency, and charge / discharge power, an energy storage model can be constructed based on the state of charge, charge / discharge efficiency, and charge / discharge power.

[0098] Optionally, a method for constructing an energy storage model is provided below, see formulas (10)-(11):

[0099] (10);

[0100] (11);

[0101] In the formula, This represents the initial state of charge of the energy storage system. This refers to the state of charge of the energy storage system at a certain moment. It's about the efficiency of the energy storage system. This is the maximum charge capacity of the energy storage system. This is the upper limit of the state of charge of the energy storage system. and It refers to the charging efficiency and discharging efficiency of the energy storage system. and These are the charging and discharging power of the energy storage system.

[0102] In this embodiment, an energy storage model is constructed based on the state of charge, charge and discharge efficiency, and charge and discharge power, providing a data foundation for determining the output power of the energy management system based on the energy storage model.

[0103] In one embodiment, the process of constructing the power output model of the charging station can also be described in detail, see [link to relevant documentation]. Figure 5 That is, the aforementioned "constructing a charging station power output model based on the power allocation parameters of the charging station during the operation of the energy management system" includes:

[0104] S501. Obtain the connection time information between the charging station and the entity to be charged, and the charging and discharging power of the charging station from the energy management system.

[0105] The connection time information between the charging station and the entity to be charged includes the time point at which the charging station and the entity to be charged connect, such as the time point when the electric vehicle arrives at the public building and begins to connect to the charging pile; and the connection time information between the charging station and the entity to be charged includes the time point at which the charging station and the entity to be charged disconnect, such as the time point when the electric vehicle leaves the public building and disconnects from the charging pile.

[0106] The charging and discharging power of a charging station includes both its charging power and its discharging power.

[0107] In this embodiment, when constructing the power output model of the charging station, the connection time information between the charging station and the entity to be charged and the charging and discharging power of the charging station can be obtained first from the energy management system.

[0108] S502. Based on the connection time information and charging / discharging power, construct the power output model of the charging station.

[0109] In this embodiment, after obtaining the connection time information between the charging station and the entity to be charged in the energy management system and the charging and discharging power of the charging station, a charging station power output model can be constructed based on the connection time information between the charging station and the entity to be charged in the energy management system and the charging and discharging power of the charging station.

[0110] Optionally, a method for constructing a power output model for a charging station is provided below, see formulas (12)-(14):

[0111] (12);

[0112] (13);

[0113] (14);

[0114] In the formula, The point in time when electric vehicles arrive at public buildings and begin connecting to charging stations. This refers to the point in time when an electric vehicle leaves a public building and disconnects from its charging station. yes The power of the charging station at all times. and These are the charging power and discharging power of the charging station, respectively. , , and These are all parameters from a normal distribution.

[0115] In this embodiment, a charging station power output model is constructed based on the connection time information between the charging station and the entity to be charged in the energy management system and the charging and discharging power of the charging station, providing a data foundation for determining the output power of the energy management system based on the charging station power output model.

[0116] In one embodiment, the objective function is to minimize the total cost of the energy management system, which includes the cost of purchasing electricity, the cost of operating energy storage, the cost of operating charging piles, the cost of operating photovoltaics, and the charging cost of the entities to be charged.

[0117] Alternatively, the objective function can be expressed by the following formula (15):

[0118] (15);

[0119] In the formula, , , , , and These are the total cost of the photovoltaic-storage-charging system, the cost of electricity purchase, the operating cost of energy storage, the operating cost of charging piles, the operating cost of photovoltaic systems, and the charging cost of the entity to be charged.

[0120] Optionally, the cost of electricity purchase can be represented by the following equations (16)-(18):

[0121] (16);

[0122] (17);

[0123] (18);

[0124] In the formula, and It is the unit price of electricity purchased and sold by the system at a certain time. This refers to the power purchased by the power grid. This refers to the energy storage charging power. This refers to the charging power of electric vehicles. This refers to the energy storage and discharge power. This refers to the discharge power of an electric vehicle.

[0125] Optionally, the operating cost of energy storage can be represented by the following formula (19):

[0126] (19);

[0127] In the formula, It is the unit electricity price for the operation of the charging pile system.

[0128] Optionally, the operating cost of the charging pile can be represented by the following formula (20):

[0129] (20);

[0130] In the formula, It is the unit electricity price for the operation of the charging pile system.

[0131] Optionally, the operating cost of the photovoltaic system can be represented by the following formula (21):

[0132] (twenty one);

[0133] In the formula, It is the unit electricity price for the operation of the photovoltaic system. This refers to the highest unit electricity price at time t during the operation of the photovoltaic system. This refers to the unit electricity price of the photovoltaic system at time t.

[0134] Optionally, the charging cost of the entity to be charged can be represented by the following equation (22):

[0135] (twenty two);

[0136] In the formula, This is the unit electricity price for charging electric vehicles. This refers to the battery status of an electric vehicle when it leaves the house. This refers to the battery status of the electric vehicle upon arrival.

[0137] In one exemplary embodiment, the method for determining the output power of the energy management system provided in this application is verified and analyzed under different scenarios (such as daily energy-saving scenarios and demand response scenarios) to verify its reliability and effectiveness in reducing system operating costs and meeting grid demand response requirements. Three typical scenarios are selected: Scenario 1 is the traditional dispatch mode, where the energy storage system charges and discharges once, and the charging station does not have V2G functionality; Scenario 2 is the daily energy-saving scenario, where the charging station is equipped with V2G functionality, optimizing photovoltaic power generation and energy storage dispatch; Scenario 3 is the demand response scenario, where the system reduces load and receives subsidies during specific periods.

[0138] By comparing the system power and cost in three scenarios, this application verifies that the method for determining the output power of the energy management system provided in this application significantly reduces the cost of electricity purchase and the total system cost in scenarios 2 and 3, improves the photovoltaic utilization rate, and successfully achieves demand response, thereby obtaining additional subsidy income.

[0139] Optionally, based on the above verification results, the economic efficiency, flexibility, and demand response capability of the method for determining the output power of the energy management system provided in this application can be comprehensively evaluated, thereby providing decision support for the optimized operation of photovoltaic-energy storage-charging station systems in public buildings.

[0140] Please see Figure 6 This document provides allocation processes for energy storage management systems in demand response and daily energy-saving scenarios. In demand response scenarios, photovoltaic (PV) power is not allowed to be curtailed, the energy storage device is adjusted to discharge mode, and the charging pile is adjusted to V2G mode. Demand response benefit settlement and electric vehicle compensation settlement are then performed to calculate energy costs. In daily energy-saving scenarios, the document obtains the PV power output curve for the scheduling period, the arrival time of electric vehicles at charging piles, the boundary conditions for energy storage device operation (e.g., energy storage limits, charging / discharging power limits), and the boundary conditions for charging pile operation (e.g., maximum charging rate and charging / discharging power limits). Then, coordinated scheduling is carried out with the goal of minimizing operating costs (e.g., PV-storage operating costs, electricity purchase costs). Generally, when the cost of calling a charging pile is greater than that of energy storage, energy storage can be used to fully absorb PV power generation. The document then determines whether the energy storage charging / discharging power limit has been reached. When PV power generation reaches the energy storage charging / discharging power limit, it further determines whether the electric vehicle can be fully charged within a preset time period. If the electric vehicle can be fully charged within the preset time period, the document calls upon available charging pile resources to calculate energy costs. Please refer to [link to relevant documentation]. Figure 7 It also provides a schematic diagram of the operation of a photovoltaic-energy storage-charging station system.

[0141] In one embodiment, see Figure 8 Furthermore, a method for determining the output power of an energy management system is provided, including:

[0142] T1. Obtain the solar irradiance and temperature parameters of the photovoltaic system in the energy management system;

[0143] T2. Construct a photovoltaic power output model based on solar irradiance and temperature parameters;

[0144] T3. Obtain the state of charge, charging and discharging efficiency, and charging and discharging power of the energy storage system in the energy management system;

[0145] T4. Construct an energy storage model based on the state of charge, charge / discharge efficiency, and charge / discharge power;

[0146] T5. Obtain the connection time information between the charging station and the entity to be charged, as well as the charging and discharging power of the charging station from the energy management system.

[0147] T6. Construct a power output model for the charging station based on connection time information and charging / discharging power;

[0148] T7. Based on the preset constraints and objective function, solve the photovoltaic power output model, energy storage model, and charging station power output model to obtain the output power of the energy management system. The preset constraints include at least one of the following: photovoltaic equipment output power constraints, energy storage system state of charge and charging / discharging power constraints, and charging station power allocation constraints. The objective function is to minimize the total cost of the energy management system.

[0149] It should be noted that the descriptions of T1-T10 above can be found in the relevant descriptions in the above embodiments, and their effects are similar, so they will not be repeated here.

[0150] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0151] Based on the same inventive concept, this application also provides an energy management system output power determination apparatus for implementing the above-described method for determining the output power of an energy management system. The solution provided by this apparatus is similar to the solution described in the above-described method. Therefore, the specific limitations of one or more embodiments of the energy management system output power determination apparatus provided below can be found in the limitations of the energy management system output power determination method described above, and will not be repeated here.

[0152] In one exemplary embodiment, such as Figure 9 As shown, an apparatus for determining the output power of an energy management system is provided, comprising: a construction module 10 and a determination module 11, wherein:

[0153] Module 10 is used to construct a power output model for public buildings based on the photovoltaic power generation parameters, energy storage charging and discharging parameters, and charging station power allocation parameters during the operation of the energy management system. The power output model includes a photovoltaic power output model, an energy storage model, and a charging station power output model.

[0154] The determination module 11 is used to determine the output power of the energy management system based on the power output model, preset constraints, and objective function. The preset constraints include at least one of the following: photovoltaic equipment output power constraints, energy storage system state of charge and charging / discharging power constraints, and charging station power allocation constraints. The objective function is to minimize the total cost of the energy management system.

[0155] In an exemplary embodiment, the above-described building module 10 includes:

[0156] The first acquisition unit is specifically used to acquire the solar irradiance parameters and temperature parameters of the photovoltaic system in the energy management system.

[0157] The first building unit is specifically used to construct a photovoltaic power output model based on solar irradiance parameters and temperature parameters.

[0158] In an exemplary embodiment, the above-described building module 10 includes:

[0159] The second acquisition unit is specifically used to acquire the state of charge, charging and discharging efficiency, and charging and discharging power of the energy storage system in the energy management system.

[0160] The second building block is specifically used to construct an energy storage model based on the state of charge, charge / discharge efficiency, and charge / discharge power.

[0161] In an exemplary embodiment, the above-described building module 10 includes:

[0162] The third acquisition unit is specifically used to acquire the connection time information between the charging station and the entity to be charged and the charging and discharging power of the charging station in the energy management system.

[0163] The fourth building unit is specifically used to build a power output model for the charging station based on connection time information and charging / discharging power.

[0164] In an exemplary embodiment, the determining module 11 includes:

[0165] The determination unit is specifically used to solve the power output model based on preset constraints and objective functions to obtain the output power of the energy management system.

[0166] In one exemplary embodiment, the total cost of the energy management system described above includes the cost of purchasing electricity, the cost of operating energy storage, the cost of operating charging piles, the cost of operating photovoltaic systems, and the cost of charging the entities to be charged.

[0167] Each module in the aforementioned energy management system output power determination device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the computer device's memory as software, so that the processor can call and execute the corresponding operations of each module.

[0168] In one exemplary embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to perform the following steps:

[0169] Based on the photovoltaic power generation parameters, energy storage charging and discharging parameters, and charging station power allocation parameters during the operation of the energy management system, a power output model for public buildings is constructed; the power output model includes a photovoltaic power output model, an energy storage model, and a charging station power output model.

[0170] Based on the power output model, preset constraints, and objective function, the output power of the energy management system is determined. The preset constraints include at least one of the following: photovoltaic equipment output power constraints, energy storage system state of charge and charging / discharging power constraints, and charging station power allocation constraints. The objective function is to minimize the total cost of the energy management system.

[0171] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0172] Obtain the solar irradiance and temperature parameters of the photovoltaic system in the energy management system;

[0173] A photovoltaic power output model is constructed based on solar irradiance and temperature parameters.

[0174] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0175] Acquire the state of charge, charge / discharge efficiency, and charge / discharge power of the energy storage system in the energy management system;

[0176] An energy storage model is constructed based on the state of charge, charge / discharge efficiency, and charge / discharge power.

[0177] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0178] Obtain connection time information between the charging station and the entity to be charged, as well as the charging and discharging power of the charging station, from the energy management system.

[0179] Based on the connection time information and charging / discharging power, a power output model for the charging station is constructed.

[0180] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0181] Based on the preset constraints and objective function, the power output model is solved to obtain the output power of the energy management system.

[0182] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, the computer program performing the following steps when executed by a processor:

[0183] Based on the photovoltaic power generation parameters, energy storage charging and discharging parameters, and charging station power allocation parameters during the operation of the energy management system, a power output model for public buildings is constructed; the power output model includes a photovoltaic power output model, an energy storage model, and a charging station power output model.

[0184] Based on the power output model, preset constraints, and objective function, the output power of the energy management system is determined. The preset constraints include at least one of the following: photovoltaic equipment output power constraints, energy storage system state of charge and charging / discharging power constraints, and charging station power allocation constraints. The objective function is to minimize the total cost of the energy management system.

[0185] In one embodiment, when the computer program is executed by a processor, it also performs the following steps:

[0186] Obtain the solar irradiance and temperature parameters of the photovoltaic system in the energy management system;

[0187] A photovoltaic power output model is constructed based on solar irradiance and temperature parameters.

[0188] In one embodiment, when the computer program is executed by a processor, it also performs the following steps:

[0189] Acquire the state of charge, charge / discharge efficiency, and charge / discharge power of the energy storage system in the energy management system;

[0190] An energy storage model is constructed based on the state of charge, charge / discharge efficiency, and charge / discharge power.

[0191] In one embodiment, when the computer program is executed by a processor, it also performs the following steps:

[0192] Obtain connection time information between the charging station and the entity to be charged, as well as the charging and discharging power of the charging station, from the energy management system.

[0193] Based on the connection time information and charging / discharging power, a power output model for the charging station is constructed.

[0194] In one embodiment, when the computer program is executed by a processor, it also performs the following steps:

[0195] Based on the preset constraints and objective function, the power output model is solved to obtain the output power of the energy management system.

[0196] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, performs the following steps:

[0197] Based on the photovoltaic power generation parameters, energy storage charging and discharging parameters, and charging station power allocation parameters during the operation of the energy management system, a power output model for public buildings is constructed; the power output model includes a photovoltaic power output model, an energy storage model, and a charging station power output model.

[0198] Based on the power output model, preset constraints, and objective function, the output power of the energy management system is determined. The preset constraints include at least one of the following: photovoltaic equipment output power constraints, energy storage system state of charge and charging / discharging power constraints, and charging station power allocation constraints. The objective function is to minimize the total cost of the energy management system.

[0199] In one embodiment, when the computer program is executed by a processor, it also performs the following steps:

[0200] Obtain the solar irradiance and temperature parameters of the photovoltaic system in the energy management system;

[0201] A photovoltaic power output model is constructed based on solar irradiance and temperature parameters.

[0202] In one embodiment, when the computer program is executed by a processor, it also performs the following steps:

[0203] Acquire the state of charge, charge / discharge efficiency, and charge / discharge power of the energy storage system in the energy management system;

[0204] An energy storage model is constructed based on the state of charge, charge / discharge efficiency, and charge / discharge power.

[0205] In one embodiment, when the computer program is executed by a processor, it also performs the following steps:

[0206] Obtain connection time information between the charging station and the entity to be charged, as well as the charging and discharging power of the charging station, from the energy management system.

[0207] Based on the connection time information and charging / discharging power, a power output model for the charging station is constructed.

[0208] In one embodiment, when the computer program is executed by a processor, it also performs the following steps:

[0209] Based on the preset constraints and objective function, the power output model is solved to obtain the output power of the energy management system.

[0210] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, artificial intelligence (AI) processors, etc., and are not limited to these.

[0211] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0212] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A method for determining the output power of an energy management system, characterized in that The method includes: Based on the photovoltaic power generation parameters, energy storage charging and discharging parameters, and charging station power allocation parameters during the operation of the energy management system, a power output model for public buildings is constructed; the power output model includes a photovoltaic power output model, an energy storage model, and a charging station power output model. Based on the power output model, preset constraints, and objective function, the output power of the energy management system is determined; the preset constraints include at least one of photovoltaic equipment output power constraints, energy storage system state of charge and charge / discharge power constraints, and charging station power allocation constraints; the objective function refers to minimizing the total cost of the energy management system.

2. The method of claim 1, wherein, Based on the photovoltaic power generation parameters during the operation of the energy management system, a photovoltaic power output model is constructed, including: Obtain the solar irradiance and temperature parameters of the photovoltaic system in the energy management system; The photovoltaic power output model is constructed based on the solar irradiance parameter and the temperature parameter.

3. The method of claim 1, wherein, Based on the energy storage charging and discharging parameters during the operation of the energy management system, an energy storage model is constructed, including: Obtain the state of charge, charge / discharge efficiency, and charge / discharge power of the energy storage system in the energy management system; The energy storage model is constructed based on the state of charge, the charge / discharge efficiency, and the charge / discharge power.

4. The method of claim 1, wherein, Based on the power allocation parameters of charging stations during the operation of the energy management system, a power output model for charging stations is constructed, including: Obtain the connection time information between the charging station and the entity to be charged in the energy management system, as well as the charging and discharging power of the charging station; Based on the connection time information and the charging / discharging power, a power output model for the charging station is constructed.

5. The method of claim 1, wherein, The process of determining the output power of the energy management system based on the power output model, preset constraints, and objective function includes: Based on the preset constraints and the objective function, the power output model is solved to obtain the output power of the energy management system.

6. The method of claim 1, wherein, The total cost of the energy management system includes the cost of electricity purchase, the cost of energy storage operation, the cost of charging pile operation, the cost of photovoltaic operation, and the charging cost of the entities to be charged.

7. A device for determining the output power of an energy management system, characterized in that, The device includes: A construction module is used to construct a power output model for public buildings based on photovoltaic power generation parameters, energy storage charging and discharging parameters, and charging station power allocation parameters obtained during the operation of the energy management system; the power output model includes a photovoltaic power output model, an energy storage model, and a charging station power output model; The determination module is used to determine the output power of the energy management system based on the power output model, preset constraints, and objective function; the preset constraints include at least one of photovoltaic equipment output power constraints, energy storage system state of charge and charge / discharge power constraints, and charging station power allocation constraints; the objective function refers to minimizing the total cost of the energy management system.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

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