A scheduling method, device and equipment of a multi-agent hybrid power station and a storage medium

Abstract

The application discloses a multi-subject hybrid power station scheduling method and device, equipment and storage medium, relates to the power scheduling technical field, and includes the following steps: acquiring real-time operation data of a multi-subject hybrid power station; calculating the overall power boundary of the hybrid power station according to the real-time operation data; performing active power collaborative distribution based on the overall power boundary to obtain an active power distribution result; performing reactive power collaborative distribution according to the active power distribution result to obtain a reactive power distribution result; and performing power scheduling according to the active power distribution result and the reactive power distribution result. Based on the hierarchical control architecture, the sequential scheduling logic of active power first and then reactive power is adopted, complex optimization calculation is not needed, and the whole-process closed-loop operation of multi-subject collaborative scheduling, asymmetric frequency service, bidirectional power flow adaptation and reactive power collaborative control can be realized.

Description

Technical Field

[0001] This application relates to the field of power dispatching technology, and in particular to a dispatching method, apparatus, equipment and storage medium for a multi-entity hybrid power plant. Background Technology

[0002] The large-scale deployment of renewable energy is a crucial support for the deep decarbonization of the power system. However, wind and solar power are highly intermittent and volatile, and large-scale integration poses challenges to grid stability, such as insufficient grid inertia and difficulty in fully absorbing generated power. Multi-entity hybrid power plants integrating offshore wind power, onshore floating solar power, energy storage, and hydrogen production are an effective solution to the long-term intermittency problem of renewable energy. These power plants must simultaneously meet grid connection standards, as well as the operational requirements of both the electricity and hydrogen energy markets, and require precise and efficient real-time coordinated dispatch to ensure safe and stable operation.

[0003] On the other hand, existing hybrid power plant scheduling technologies still have significant shortcomings: First, existing solutions are mostly designed for single power source scenarios such as onshore wind, solar, and energy storage, and do not cover actual engineering scenarios such as multi-entity collaborative scheduling, power plant topologies including offshore wind power, and bidirectional power flow at grid connection points, resulting in poor scenario adaptability; Second, existing mainstream optimization-based scheduling algorithms have large computational loads, insufficient real-time performance, and opaque control logic, making it difficult to meet the deployment requirements of industrial-grade power plants, while conventional rule-based scheduling methods do not cover complex requirements such as asymmetric frequency services, and cannot fully utilize the capabilities of different devices, easily leading to control conflicts and resource waste. Summary of the Invention

[0004] The main purpose of this application is to provide a scheduling method, device, equipment and storage medium for multi-entity hybrid power plants, which aims to solve the technical problems of current hybrid power plants not covering multi-entity collaborative scheduling and scheduling failing to fully utilize the capabilities of different equipment, easily leading to control conflicts and resource waste.

[0005] To achieve the above objectives, this application proposes a scheduling method for a multi-entity hybrid power plant, the scheduling method comprising: Acquire real-time operational data of multi-entity hybrid power plants; The overall power boundary of the hybrid power plant is calculated based on the real-time operating data. Active power is allocated collaboratively based on the overall power boundary to obtain the active power allocation result; Based on the active power allocation result, reactive power is allocated collaboratively to obtain the reactive power allocation result; Power scheduling is performed based on the active power allocation results and the reactive power allocation results.

[0006] In one embodiment, the step of calculating the overall power boundary of the hybrid power plant based on the real-time operating data includes: Based on the real-time operating data, the real-time available active power, the real-time available charging and discharging power, and the active power reference value of each power station are obtained. The overall power boundary of the hybrid power station is calculated based on the real-time available active power, the real-time available charging and discharging power, and the reference value of active power of each power station.

[0007] In one embodiment, the step of calculating the overall power boundary of the hybrid power station based on the real-time available active power of each power station, the real-time available charging and discharging power of each power station, and the active power reference value of each power station includes: The real-time available active power of offshore wind farms, onshore floating photovoltaic power plants, and electrolytic hydrogen production cells are obtained based on the real-time available active power of each power station. The real-time available charging power and real-time available discharging power of the battery energy storage system are obtained based on the real-time available charging and discharging power of each power station. Based on the active power reference values ​​of each power station, the active power reference values ​​at the grid connection point and the active power reference values ​​for hydrogen production are obtained. The total available active power of the hybrid power station is calculated based on the real-time available active power of the offshore wind farm, the real-time available active power of the onshore floating photovoltaic power station, and the real-time available discharge power of the battery energy storage system. The total available active power consumption of the hybrid power station is calculated based on the real-time available active power of the electrolytic hydrogen production cell and the real-time available charging power of the battery energy storage system. The total power demand of the hybrid power plant is calculated based on the reference value of active power at the grid connection point and the reference value of active power for hydrogen production. The overall power boundary of the hybrid power station is obtained based on the total available active power generation, the total available active power consumption, and the total power demand of the hybrid power station.

[0008] In one embodiment, the step of performing active power coordinated allocation based on the overall power boundary to obtain the active power allocation result includes: Obtain backup reservation requirements data for frequency services; Calculate the total frequency of the hybrid power plant's reserve capacity for upward adjustment and the total frequency of the hybrid power plant's reserve capacity for downward adjustment based on the aforementioned reserve requirement data; The real-time available active power of each power station in the overall power boundary is corrected based on the increase in reserve capacity and the decrease in reserve capacity of the total frequency of the hybrid power station, so as to obtain the corrected available power of each power station. Active power is allocated collaboratively based on the overall power boundary and the corrected available power to obtain the active power allocation result.

[0009] In one embodiment, the step of performing active power coordinated allocation based on the overall power boundary and the corrected available power to obtain the active power allocation result includes: The corrected available charging and discharging power of the battery energy storage system, the corrected available active power of the offshore wind farm, the corrected available active power of the onshore floating photovoltaic power station, and the corrected available active power of the electrolyzer are obtained based on the corrected available power. Based on the modified active power of the electrolyzer, the active power reference value allocation of the electrolytic hydrogen production electrolyzer is carried out. When the sum of the corrected available active power of the battery energy storage system and the total power demand of the hybrid power station in the overall power boundary is greater than or equal to the sum of the corrected available active power of the offshore wind farm and the corrected available active power of the onshore floating photovoltaic power station, the current mode is determined to be the maximum power point tracking mode. The corrected available active power of the offshore wind farm is used as a reference value for the active power of the offshore wind farm, and the corrected available active power of the onshore floating photovoltaic power station is used as a reference value for the active power of the onshore floating photovoltaic power station. Obtain the operating mode of the battery energy storage system, and allocate the active power reference value of the battery energy storage system according to the operating mode and / or the battery energy storage system modified available charging and discharging power, to obtain the active power allocation result.

[0010] In one embodiment, the step of obtaining the operating mode of the battery energy storage system and allocating the active power reference value of the battery energy storage system according to the operating mode and / or the available charging and discharging power of the battery energy storage system includes: Obtain the operating mode of the battery energy storage system; When the operating mode is manual mode, the active power reference value of the battery energy storage system is allocated based on the fixed power reference value of the manual mode of the battery energy storage system and the corrected available charging and discharging power of the battery energy storage system. The remaining power is calculated based on the total power demand of the hybrid power plant and the total available renewable energy power generation capacity of the hybrid power plant in the overall power boundary. When the operating mode is automatic charging mode, the active power reference value of the battery energy storage system is determined based on the remaining power and the real-time available charging power of the battery energy storage system, and the active power reference value of the battery energy storage system is allocated. When the operating mode is automatic discharge mode, the active power reference value of the battery energy storage system is determined based on the remaining power and the real-time available discharge power of the battery energy storage system, and the active power reference value of the battery energy storage system is allocated. When the operating mode is frequency regulation mode, the corrected available charging and discharging power of the battery energy storage system is used as the active power reference value of the battery energy storage system for allocation.

[0011] In one embodiment, the step of performing reactive power coordinated allocation based on the active power allocation result to obtain the reactive power allocation result includes: The active power reference value for each power station is obtained based on the active power allocation results. Obtain the available apparent power and total reactive power target value for each power station; The available reactive power capacity of each power station is calculated based on the available apparent power and the active power reference value of each power station. Calculate the total available reactive power capacity of the hybrid power station based on the available reactive power capacity of each power station; The reactive power participation factor of each power station is set according to the proportion of the available reactive capacity of each power station to the total available reactive capacity of the hybrid power station. The reactive power reference value for each power station is calculated based on the total reactive power target value and the reactive power participation factor. The reactive power reference values ​​of each power station are allocated to each power station.

[0012] Furthermore, to achieve the above objectives, this application also proposes a dispatching device for a multi-entity hybrid power plant, the dispatching device for the multi-entity hybrid power plant comprising: The acquisition module is used to acquire real-time operating data of multi-entity hybrid power plants; The calculation module is used to calculate the overall power boundary of the hybrid power plant based on the real-time operating data; The allocation module is used to perform active power collaborative allocation based on the overall power boundary to obtain the active power allocation result; The allocation module is also used to perform reactive power coordinated allocation based on the active power allocation result to obtain the reactive power allocation result; The scheduling module is used to perform power scheduling based on the active power allocation result and the reactive power allocation result.

[0013] In addition, to achieve the above objectives, this application also proposes a scheduling device for a multi-entity hybrid power plant, the device comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the scheduling method for the multi-entity hybrid power plant as described above.

[0014] In addition, to achieve the above objectives, this application also proposes a storage medium, which is a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it implements the steps of the multi-entity hybrid power plant scheduling method described above.

[0015] In addition, to achieve the above objectives, this application also provides a computer program product, which includes a computer program that, when executed by a processor, implements the steps of the multi-entity hybrid power plant scheduling method described above.

[0016] One or more technical solutions proposed in this application acquire real-time operating data of a multi-entity hybrid power plant; calculate the overall power boundary of the hybrid power plant based on the real-time operating data; perform active power collaborative allocation based on the overall power boundary to obtain active power allocation results; perform reactive power collaborative allocation based on the active power allocation results to obtain reactive power allocation results; and perform power scheduling based on the active power allocation results and the reactive power allocation results. Based on a hierarchical control architecture, it adopts a sequential scheduling logic of active power first and reactive power later, without the need for complex optimization calculations, and can realize the closed-loop operation of the entire process of multi-entity collaborative scheduling, asymmetric frequency service, bidirectional power flow adaptation, and reactive power collaborative control. Attached Figure Description

[0017] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0018] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 This is a flowchart illustrating an embodiment of the dispatching method for a multi-entity hybrid power plant in this application. Figure 2 This is a flowchart illustrating a second embodiment of the dispatching method for a multi-entity hybrid power plant in this application. Figure 3 This is a flowchart illustrating the third embodiment of the dispatching method for multi-entity hybrid power plants in this application. Figure 4 This is a schematic diagram of the module structure of the dispatching device for a multi-entity hybrid power plant according to an embodiment of this application; Figure 5 This is a schematic diagram of the equipment structure of the hardware operating environment involved in the scheduling method of the multi-entity hybrid power plant in this application embodiment.

[0020] The purpose, features, and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0021] It should be understood that the specific embodiments described herein are merely illustrative of the technical solutions of this application and are not intended to limit this application.

[0022] To better understand the technical solution of this application, a detailed description will be provided below in conjunction with the accompanying drawings and specific implementation methods.

[0023] The main solution of this application embodiment is: to obtain real-time operating data of a multi-entity hybrid power station; to calculate the overall power boundary of the hybrid power station based on the real-time operating data; to perform active power collaborative allocation based on the overall power boundary to obtain active power allocation results; to perform reactive power collaborative allocation based on the active power allocation results to obtain reactive power allocation results; and to perform power scheduling based on the active power allocation results and the reactive power allocation results.

[0024] Because existing technologies are mostly designed for single-power-entity scenarios such as onshore wind, solar, and energy storage, they do not cover actual engineering scenarios such as multi-entity collaborative scheduling, power plant topologies including offshore wind power, and bidirectional power flow at grid connection points, resulting in poor scenario adaptability. Secondly, existing mainstream optimization-based scheduling algorithms have large computational loads, insufficient real-time performance, and opaque control logic, making it difficult to meet the deployment requirements of industrial-grade power plants. On the other hand, conventional rule-based scheduling methods do not cover complex requirements such as asymmetric frequency services, and cannot fully utilize the capabilities of different devices, easily leading to control conflicts and resource waste.

[0025] This application provides a solution that effectively integrates various power sources, including onshore and offshore wind power, photovoltaics, and energy storage systems, through a multi-entity collaborative scheduling mechanism, achieving optimized power allocation in complex scenarios. The solution employs a hierarchical control strategy, combined with real-time data processing and intelligent algorithms, to ensure stable operation under bidirectional power flow conditions at the grid connection point. Simultaneously, the transparent control logic design reduces computational complexity while improving the real-time performance and reliability of scheduling decisions, meeting the practical needs of industrial-grade power plants.

[0026] It should be noted that the executing entity in this embodiment can be a computing service device with data processing, network communication, and program execution functions, such as a tablet computer, personal computer, or mobile phone, or an electronic device capable of performing the above functions, such as a hybrid power station controller in a multi-entity hybrid power station dispatching device. The following description uses a hybrid power station controller in a multi-entity hybrid power station dispatching device as an example to illustrate this embodiment and the following embodiments. All actions involving the acquisition of signals, information, or data in this application are performed in accordance with the relevant data protection regulations of the country where the application is located and with authorization from the owner of the corresponding device.

[0027] Based on this, the embodiments of this application provide a scheduling method for a multi-entity hybrid power plant, referring to... Figure 1 , Figure 1 This is a flowchart illustrating the first embodiment of the scheduling method for multi-entity hybrid power plants in this application.

[0028] In this embodiment, the scheduling method for the multi-entity hybrid power plant includes steps S10 to S50: Step S10: Obtain real-time operation data of the multi-entity hybrid power plant.

[0029] It should be noted that this method is applicable to multi-entity hybrid power plants consisting of offshore wind farms, onshore floating photovoltaic power plants, battery energy storage systems, and electrolytic hydrogen production cells. All assets (power plants) are connected to the grid at a single point via an onshore substation. The power plant adopts a three-layer hierarchical control architecture, from top to bottom: hybrid power plant controller, independent power plant controller, and asset controller. The hybrid power plant controller is the core of this scheduling method; the independent power plant controller corresponds to the independent control units of the wind farm, photovoltaic, energy storage, and electrolytic cell; the asset controller is the bottom-level execution unit for a single wind turbine, inverter, battery cluster, or electrolytic cell, enabling the hierarchical issuance of scheduling commands and real-time uploading of equipment operation data to meet the real-time scheduling response requirements of the power plant.

[0030] The Hybrid Power Plant Controller (HPPC) acquires full-scale scheduling data through three types of interfaces: Energy Management System (EMS), Transmission System Operator (TSO), and Individual Power Plant Controllers (TPCs), providing data support for subsequent power boundary calculations and scheduling execution.

[0031] To standardize the asset indexing and symbol specifications for subsequent scheduling calculations, a single-type technical asset set for hybrid power plants is defined as follows: , i is the index of a single type of technology asset for hybrid power plants, WPP is offshore wind farm, SPP is onshore floating photovoltaic power plant, BESS is battery energy storage system, and P2X is electrolytic hydrogen production cell.

[0032] In practice, real-time operating data can be collected through the interfaces of each independent power station controller. This real-time operating data includes the real-time power of each power station, specifically real-time available active power, real-time available charging power, real-time available discharging power, and active power reference values.

[0033] Step S20: Calculate the overall power boundary of the hybrid power plant based on the real-time operating data.

[0034] In practice, the overall power boundary of the hybrid lattice can be calculated based on the power in the real-time operating data, thereby defining the initial operating envelope of each power station.

[0035] The overall power boundary of a hybrid power plant includes the total available active power generation, the total available active power consumption, and the upper and lower limits of the total power demand. These boundary values ​​are determined by comprehensively considering the real-time operating status of each power plant, equipment capacity limitations, and external dispatch requirements, ensuring optimal power allocation while meeting system stability and security requirements.

[0036] Step S30: Perform active power collaborative allocation based on the overall power boundary to obtain the active power allocation result.

[0037] In practical implementation, firstly, the total frequency-adjusted reserve capacity and the total frequency-decreased reserve capacity of the hybrid power plants can be calculated, and the power boundaries of each power plant are corrected based on the real-time available active power. The corrected available power will serve as the basis for subsequent allocation. Further, by analyzing the operating characteristics of battery energy storage systems, offshore wind farms, onshore floating photovoltaic power plants, and electrolytic hydrogen production cells, their respective power reference values ​​are determined. Under maximum power point tracking (MPPT) mode, the corrected available active power of offshore wind farms and onshore floating photovoltaic power plants is allocated first, while the power reference value of the battery energy storage system is adjusted based on its charging and discharging status. If residual power exists, its active power reference value is dynamically allocated according to the operating mode of the battery energy storage system (such as manual mode, automatic charging mode, automatic discharging mode, or frequency regulation mode), ultimately yielding a complete active power allocation result.

[0038] Step S40: Perform reactive power collaborative allocation based on the active power allocation result to obtain the reactive power allocation result.

[0039] In practice, the active power allocation result is the active power reference value allocated to each power station. The reactive power collaborative allocation calculation of the hybrid power station can be carried out through the active power reference value of each power station. At the same time, the real-time closed-loop operation of active-reactive power scheduling of the whole power station can be realized by combining the three-layer hierarchical control architecture.

[0040] In one feasible implementation, step S40 may include steps A11 to A18: Step A11: Obtain the active power reference value for each power station based on the active power allocation results; It should be noted that after obtaining the active power allocation results, a reference value of the active power allocated to each power station can be obtained.

[0041] Step A12: Obtain the available apparent power and total reactive power target value for each power station; The reactive power allocation is centered on meeting the grid control requirements of the TSO (Total Power Grid Operator). Available reactive power capacity is calculated based on the remaining converter capacity of each power station, and the participation factor method is used to rationally allocate the reactive power reference value at the point of connection (POC). Offshore wind farms, due to hardware constraints, do not participate in reactive power regulation on the POC side; instead, STATCOM (Static Synchronous Compensator) is incorporated into the reactive power allocation system as a dedicated reactive power compensation device.

[0042] The premise of reactive power allocation is that the active power reference value of each power station has been determined. At this time, the available reactive power capacity of each power station is determined by its available apparent power and active power reference value. Therefore, the available apparent power of each power station and the total reactive power target value allocated by the grid can be obtained. The total reactive power target value is the reactive power reference value on the POC side calculated by HPPC according to the grid control requirements (reactive power / voltage / power factor control mode) issued by TSO.

[0043] Step A13: Calculate the available reactive power capacity of each power station based on the available apparent power and the active power reference value of each power station; It should be noted that the available reactive power capacity of each power station can be calculated based on the available apparent power and the reference value of the active power of each power station, as shown in the following formula:

[0044] In the above formula, For the first Available reactive power capacity of power plants For the first Available apparent power of similar power plants For the first Reference values ​​for active power of similar power plants.

[0045] Step A14: Calculate the total available reactive power capacity of the hybrid power station based on the available reactive power capacity of each power station; Understandably, the total available reactive power capacity that a hybrid power station can provide to the POC side can be calculated based on the available reactive power capacity of a single type of power station, providing a total baseline for subsequent reactive power allocation. The calculation is as follows:

[0046] In the above formula, The total available reactive power capacity of the hybrid power plant is within the range of summation. The available reactive power is then added to the available reactive power of STATCOM to obtain the total available capacity.

[0047] It should be noted that WPP cannot effectively regulate the reactive power on the POC side due to the high impedance characteristics of long-distance high-voltage AC (HVAC) submarine cables. Therefore, the available reactive power capacity is limited. It does not participate in the reactive power collaborative allocation on the POC side.

[0048] Step A15: Set the reactive power participation factor for each power station according to the proportion of the available reactive capacity of each power station to the total available reactive capacity of the hybrid power stations; In practical implementation, to achieve a reasonable allocation of reactive power among various power stations, the first [unit / mechanism] is defined based on the proportion of available reactive power capacity of each power station to the total available reactive power capacity. The reactive power participation factor for power plants is set as follows:

[0049] In the above formula, For the first The reactive power participation factor of power plants participating in reactive power allocation on the POC side (SPP, BESS, P2X, STATCOM) is summed to 1, and the reactive power participation factor of offshore wind farms is also included. .

[0050] Step A16: Calculate the reactive power reference value for each power station based on the total reactive power target value and the reactive power participation factor; It should be noted that the reactive power reference value of the corresponding power station can be calculated based on the total reactive power target value and the corresponding reactive power participation factor, as shown in the following formula:

[0051] In the above formula, To be allocated to the first Reference values ​​for reactive power of similar power plants. This represents the total reactive power target value. STATCOM's reactive power reference value is calculated separately based on its own participation factor and... The product calculation ensures that the total reactive power output on the POC side meets the TSO scheduling requirements.

[0052] Step A17: Distribute the reactive power reference values ​​of each power station to each power station.

[0053] The reactive power reference values ​​calculated above can be allocated to each power station to complete the reactive power allocation.

[0054] Step S50: Perform power scheduling based on the active power allocation result and the reactive power allocation result.

[0055] It should be noted that after all active and reactive power reference values ​​are allocated, real-time closed-loop scheduling is achieved by combining the three-layer hierarchical control architecture of the hybrid power plant. The HPPC uses the active and reactive power reference values ​​of each power plant as scheduling instructions and sends them down to the corresponding independent power plant controllers (TPCs) level by level. The TPCs then decompose the instructions to the lower-level power plant controllers (ACs) for execution. At the same time, the lower-level ACs upload real-time operating data of the equipment, including actual active and reactive power output, voltage, and operating status, to the TPCs. The TPCs summarize and verify the data and send it back to the HPPCs in real time. Based on the real-time data sent back, the HPPCs re-execute the power boundary calculation, active power sequential scheduling, and reactive power collaborative allocation process, dynamically updating the active and reactive power reference values ​​to achieve continuous rescheduling and closed-loop control, and to cope with EMS prediction errors and real-time operating condition changes.

[0056] This embodiment provides a scheduling method for a multi-entity hybrid power plant. The method involves acquiring real-time operating data of the multi-entity hybrid power plant; calculating the overall power boundary of the hybrid power plant based on the real-time operating data; performing active power collaborative allocation based on the overall power boundary to obtain active power allocation results; performing reactive power collaborative allocation based on the active power allocation results to obtain reactive power allocation results; and performing power scheduling based on the active power allocation results and the reactive power allocation results. Based on a hierarchical control architecture, it adopts a sequential scheduling logic of active power first and reactive power second, eliminating the need for complex optimization calculations and enabling closed-loop operation of the entire process, including multi-entity collaborative scheduling, asymmetric frequency service, bidirectional power flow adaptation, and reactive power collaborative control.

[0057] Based on the first embodiment of this application, in the second embodiment of this application, the content that is the same as or similar to that in the first embodiment described above can be referred to the above description, and will not be repeated hereafter. Based on this, please refer to... Figure 2 Step S20 includes steps S201 to S202: Step S201: Obtain the real-time available active power, the real-time available charging and discharging power, and the active power reference value of each power station based on the real-time operating data.

[0058] It should be noted that the acquisition of real-time operational data needs to cover all types of assets in a multi-entity hybrid power plant, including offshore wind farms, onshore floating photovoltaic power plants, battery energy storage systems, and electrolytic hydrogen production cells. Relevant data is collected through the interfaces of individual power plant controllers to ensure the real-time nature and accuracy of the data. Real-time available active power reflects the maximum output power of each power plant under its current operating state; real-time available charge / discharge power, for battery energy storage systems, represents the upper limit of their charging and discharging capabilities, respectively; the active power reference value serves as the basis for dispatch instructions, guiding the actual power output of each power plant. These data collectively constitute the key inputs for subsequent power boundary calculations.

[0059] Step S202: Calculate the overall power boundary of the hybrid power station based on the real-time available active power of each power station, the real-time available charging and discharging power of each power station, and the active power reference value of each power station.

[0060] In practical implementation, the overall power boundary calculation of a hybrid power station needs to comprehensively consider the real-time operating status of each station, equipment capacity limitations, and external dispatch requirements. First, based on the real-time available active power of each station, the upper and lower limits of the total available active power generation of the hybrid power station are determined. The upper limit of this range is obtained by summing the maximum output power of all stations, while the lower limit is set according to the minimum operating power or shutdown status of each station. Next, for the battery energy storage system, adjustments to the total available active power consumption and total available active power generation of the hybrid power station are calculated, taking into account its charging and discharging capacity limits. These adjustments are used to correct the initial power boundary to reflect the bidirectional power flow characteristics of the energy storage system.

[0061] In one feasible implementation, step S202 may include steps B11 to B17: Step B11: Obtain the real-time available active power of offshore wind farms, onshore floating photovoltaic power plants, and electrolytic hydrogen production cells based on the real-time available active power of each power station. It should be noted that the real-time available active power of the electrolytic hydrogen production cell reflects its maximum power consumption under current operating conditions. This data is collected by the independent power plant controller and uploaded to the hybrid power plant controller. The real-time available active power of offshore wind farms and onshore floating photovoltaic power plants respectively reflects their maximum power generation capacity under current environmental conditions. These data together form the basis for subsequent power boundary calculations.

[0062] Step B12: Obtain the real-time available charging power and real-time available discharging power of the battery energy storage system based on the real-time available charging and discharging power of each power station. In practical implementation, the real-time available charging power and real-time available discharging power of the battery energy storage system reflect its maximum energy absorption and release capabilities under the current conditions. These data are collected by the independent power station controller and uploaded to the hybrid power station controller, providing crucial support for the accurate calculation of the subsequent power boundary. The bidirectional power flow characteristics of the battery energy storage system enable it to play a dynamic adjustment role in the overall power boundary, effectively balancing fluctuations between power generation and consumption.

[0063] Step B13: Obtain the reference value of active power at the grid connection point and the reference value of active power for hydrogen production based on the reference value of active power for each power station; It should be noted that the grid connection point active power reference value and the hydrogen production active power reference value are used to guide the external dispatching of the hybrid power plant and the operation of the internal electro-hydrogen production equipment, respectively. The grid connection point active power reference value is output by the hybrid power plant controller and reflects the overall output capacity of the hybrid power plant under the requirements of grid dispatching. The hydrogen production active power reference value is set according to the actual needs of the electro-hydrogen electrolyzer and is issued by the energy management system to ensure that it operates within the optimal power range. These reference values ​​are uploaded to the hybrid power plant controller through the independent power plant controller and serve as important input data for subsequent power boundary calculations.

[0064] Step B14: Calculate the total available active power of the hybrid power station based on the real-time available active power of the offshore wind farm, the real-time available active power of the onshore floating photovoltaic power station, and the real-time available discharge power of the battery energy storage system. In practical implementation, the total available renewable energy power generation of the hybrid power station can be calculated based on the real-time available active power of offshore wind farms and the real-time available active power of onshore floating photovoltaic power stations, as shown in the following formula:

[0065] In the above formula, The total available renewable energy generation capacity of the hybrid power plant For the real-time available active power of offshore wind farms, This refers to the real-time available active power of onshore floating photovoltaic power stations.

[0066] In practical implementation, the discharge capacity of the battery energy storage system can be incorporated to calculate the total available active power generation of the hybrid power station. Therefore, the total available active power generation of the hybrid power station can be calculated using the real-time available discharge power of the battery energy storage system and the total available renewable energy power generation of the hybrid power station, as shown in the following formula:

[0067] In the above formula, The total available active power generation of the hybrid power plant. This refers to the real-time available discharge power of the battery energy storage system.

[0068] Step B15: Calculate the total available active power consumption of the hybrid power station based on the real-time available active power of the electrolytic hydrogen production cell and the real-time available charging power of the battery energy storage system; In practical implementation, the electrical load of the electrolytic hydrogen production cell and the charging capacity of the battery energy storage system can be incorporated to calculate the total available active power consumption of the hybrid power station:

[0069] In the above formula, The total available active power consumption of the hybrid power plant. Provides real-time available charging power for battery energy storage systems. The active power available in real time for the electrolytic hydrogen production cell.

[0070] Step B16: Calculate the total power demand of the hybrid power plant based on the reference value of active power at the grid connection point and the reference value of active power for hydrogen production; It should be noted that the total power demand of the hybrid power plant can be calculated by combining the power demand from grid transmission and hydrogen production, serving as the core benchmark for subsequent active power allocation.

[0071] In the above formula, This represents the total power demand of the hybrid power plant. This is a reference value for the active power at the grid connection point. This is a reference value for the active power of hydrogen production.

[0072] Step B17: Obtain the overall power boundary of the hybrid power station based on the total available active power generation, the total available active power consumption, and the total power demand of the hybrid power station.

[0073] It is understandable that the total available active power generation, total available active power consumption, total demand power, and real-time available power of each power station can be used as the overall power boundary of the hybrid power station.

[0074] This embodiment obtains the real-time available active power, real-time available charging and discharging power, and active power reference values ​​for each power station based on the real-time operating data. The overall power boundary of the hybrid power station is then calculated based on these data. This process accurately reflects the real-time operating status and capacity range of the hybrid power station, providing a reliable basis for subsequent coordinated active power allocation. The determination of the overall power boundary considers not only the maximum output capacity and minimum operating limits of each power station but also the bidirectional regulation characteristics of the energy storage system and external dispatch requirements, ensuring that the optimal power allocation strategy can be achieved under different operating conditions.

[0075] Based on the first and second embodiments of this application, in the third embodiment of this application, the content that is the same as or similar to that in Embodiments 1 and 2 described above can be referred to the above description and will not be repeated hereafter. Based on this, please refer to... Figure 3 Step S30 includes steps S301 to S304: Step S301: Obtain the backup reservation requirement data for frequency services.

[0076] In practical implementation, active power dispatch can be carried out based on the defined technical power plant index and the overall power boundary of the hybrid power plant, combined with the reserve reservation requirements of asymmetric frequency services, according to the priority rules of the main body and the generation priority. Therefore, the reserve reservation requirement data of frequency services can be obtained.

[0077] The backup reserve requirements include the backup capacity for fast frequency, the backup capacity for normal operating frequency support, the backup capacity for frequency support under disturbance conditions with an upward adjustment, the backup capacity for frequency recovery, and the backup capacity for frequency support under disturbance conditions with a downward adjustment.

[0078] Step S302: Calculate the total frequency increase reserve capacity and the total frequency decrease reserve capacity of the hybrid power station based on the reserve requirement data.

[0079] In practical implementation, the total frequency reserve capacity that needs to be reserved can be calculated based on the asymmetric frequency service of the hybrid power station, serving as the basis for frequency reserve allocation, as shown in the following formula:

[0080] In the above formula, Total reserved frequency capacity for hybrid power plants For the first The winning bid capacity for frequency-based services Reserve capacity for high-frequency applications To support the reserve capacity awarded in the bid under normal operating conditions. To support the frequency backup for disrupted operating conditions, the winning bid capacity was increased. To support the frequency backup for disrupted operating conditions, the winning bid capacity was reduced. Reserved capacity for frequency restoration.

[0081] Considering that some frequency services are symmetrical and some are asymmetrical, and that different power plants have varying adaptability to frequency upswing and downswing services, the total frequency reserve capacity is divided into upswing reserve capacity and downswing reserve capacity for separate calculation:

[0082]

[0083] In the above formula, Increase the reserve capacity for the total frequency of the hybrid power plant. The reserve capacity for the total frequency of the hybrid power plant was reduced.

[0084] Step S303: Adjust the real-time available active power of each power station in the overall power boundary according to the total frequency of the hybrid power station and the total frequency of the hybrid power station to the total frequency of the hybrid power station, so as to obtain the corrected available power of each power station.

[0085] In practical implementation, the real-time available active power of each power station in the overall power boundary can be corrected based on the increase and decrease of reserve capacity according to the total frequency of the hybrid power stations. This updates the operating envelope of the hybrid power stations and provides an actual available power boundary for subsequent active power allocation. The correction can be referenced in the following formula:

[0086] In the above formula, For the first The corrected available active power for power plants, such as the corrected available active power for P2X electrolyzers. for Real-time available active power of power plants, such as the real-time available active power of offshore wind farms, the real-time available active power of onshore floating photovoltaic power plants, reference values ​​for active power in hydrogen production, and the real-time available charging and discharging power of battery energy storage systems. To be allocated to the first The frequency of power plants has been increased to increase their reserve capacity.

[0087] In one feasible implementation, the first... The frequency upregulation participation factor for power plants is used for coordinated power regulation when a frequency upregulation event occurs. The sum of the frequency upregulation participation factors for all power plants is 1. The calculation formula is as follows:

[0088] For the first The frequency adjustment participation factor can be set for similar power plants. Similarly, the frequency adjustment participation factor can be set for each power plant.

[0089] Step S304: Based on the overall power boundary and the corrected available power, perform active power collaborative allocation to obtain active power allocation results.

[0090] It is understandable that active power can be allocated based on the real-time power or power reference value of each power station in the overall power boundary and the corrected available power. During allocation, the power can be allocated in sequence according to the set priority to obtain the power reference value to be allocated to each power station.

[0091] In one feasible implementation, step S304 may include steps C11-C15: Step C11: Obtain the corrected available charge / discharge power of the battery energy storage system, the corrected available active power of the offshore wind farm, the corrected available active power of the onshore floating photovoltaic power station, and the corrected available active power of the electrolyzer based on the corrected available power. Step C12: Based on the available active power of the electrolyzer, allocate the reference value of the active power of the electrolytic hydrogen production electrolyzer; In practice, the allocation is carried out in a strict order of electrolyzer → wind and solar → energy storage. Therefore, the active power reference value of the electrolyzer modified above can be used as the active power reference value of the electrolytic hydrogen production electrolyzer for allocation.

[0092] It should be noted that the reference values ​​for active power in an electrolytic hydrogen production cell are allocated as follows:

[0093] In the above formula, This is a reference value for the active power of the allocated electrolytic hydrogen production cell. This is a reference value for hydrogen production active power issued by EMS. , These represent adjusting the frequency of the P2X electrolyzer by increasing and decreasing the participation factor. Increase the reserve capacity for the total frequency of the hybrid power plant. To reduce the reserve capacity for the total frequency of the hybrid power plant, the reference value for the active power of the electrolytic hydrogen production cell is the reference value for the active power of hydrogen production minus the allocation amount for reserve capacity due to frequency increases or decreases.

[0094] When allocating the reference value for active power of the electrolytic hydrogen production cell, the upper and lower operating limits of the P2X electrolytic cell must be met to ensure the safe and stable operation of the equipment. The constraints are as follows:

[0095] in, This represents the minimum base load operating power of the P2X electrolyzer. Reserved capacity for upward adjustment of P2X electrolyzers Correct the available active power for P2X electrolyzers.

[0096] Step C13: When the sum of the corrected available active power of the battery energy storage system and the total power demand of the hybrid power station in the overall power boundary is greater than or equal to the sum of the corrected available active power of the offshore wind farm and the corrected available active power of the onshore floating photovoltaic power station, the current mode is determined to be the maximum power point tracking mode. In practical implementation, it can be based on the power generation priority signal. The active power reference values ​​for offshore wind farms and onshore floating photovoltaic power stations are allocated. Before allocation, the operating conditions are determined. If the sum of the corrected available active power of the battery energy storage system and the total demand power of the hybrid power station in the overall power boundary is greater than or equal to the sum of the corrected available active power of the offshore wind farm and the corrected available active power of the onshore floating photovoltaic power station, then the current mode is determined to be the maximum power point tracking mode. If the sum of the total demand power of the hybrid power station and the corrected available active power of the battery energy storage system is less than the sum of the corrected available active power of the offshore wind farm and the corrected available active power of the onshore floating photovoltaic power station, then the current mode is the curtailment mode. In this case, the output of one type of power source can be restricted according to the power generation priority.

[0097] Step C14: Allocate the corrected available active power of the offshore wind farm as a reference value for the active power of the offshore wind farm, and allocate the corrected available active power of the onshore floating photovoltaic power station as a reference value for the active power of the onshore floating photovoltaic power station. Understandably, if the current mode is maximum power point tracking, the active power reference values ​​for both offshore wind farms and onshore floating photovoltaic power stations will be based on the corrected active power. That is, the corrected available active power of offshore wind farms will be used as the active power reference value for offshore wind farms, and the corrected available active power of onshore floating photovoltaic power stations will be used as the active power reference value for onshore floating photovoltaic power stations.

[0098] If the current mode is the curtailment mode and the power generation priority is wind power priority, then the reference value of active power for offshore wind farms and the reference value of active power for onshore floating photovoltaic power stations can be allocated based on multiple factors, including the total power demand of the hybrid power station, the corrected available active power of the battery energy storage system, the corrected available active power of the offshore wind farm, and the real-time available active power of the offshore wind farm.

[0099] Specifically, the allocation of active power reference values ​​for offshore wind farms and onshore floating photovoltaic power stations is as follows:

[0100]

[0101] In the above formula, and These are the active power reference values ​​for the WPP and SPP that need to be allocated, respectively. To correct the available active power for the battery energy storage system, Correcting available active power for offshore wind farms This refers to the real-time available active power of offshore wind farms.

[0102] If the current mode is curtailment mode and the power generation priority is photovoltaic priority, then the reference values ​​of active power for offshore wind farms and active power for onshore floating photovoltaic power plants can be allocated based on multiple factors, including the total demand power of hybrid power plants, the corrected available active power of battery energy storage systems, the corrected available active power of onshore floating photovoltaic power plants, and the real-time available active power of offshore wind farms.

[0103] Specifically, the allocation of active power reference values ​​for offshore wind farms and onshore floating photovoltaic power stations is as follows:

[0104]

[0105] In the above formula, Correcting the available active power for onshore floating photovoltaic power plants.

[0106] When allocating WPP active power reference values, it is necessary to meet the upper and lower limit constraints of the frequency reserve to ensure the real-time response capability of frequency service. The constraints are as follows:

[0107] In the above formula, Reserved capacity for WPP's downward adjustment To reduce the participation factor for WPP frequency, Increase the participation factor for WPP frequency.

[0108] When allocating SPP active power reference values, the upper and lower operating limits after frequency reserve must be met. The constraints are as follows:

[0109] In the above formula, Reserved standby capacity for SPP The participation factor is lowered to reduce the frequency of SPP. The participation factor for SPP frequency is increased.

[0110] Step C15: Obtain the operating mode of the battery energy storage system, and allocate the active power reference value of the battery energy storage system according to the operating mode / or the battery energy storage system modified available charging and discharging power to obtain the active power allocation result.

[0111] In practice, the active power reference value of the battery energy storage system is finally allocated according to the operating mode of the battery energy storage system. There are four operating modes for the battery energy storage system, including manual mode, automatic charging mode, automatic discharging mode and frequency regulation mode.

[0112] After determining the reference values ​​of active power to be allocated to each power station, the active power allocation results can be obtained.

[0113] In one feasible implementation, step C15 may include: Obtain the operating mode of the battery energy storage system; When the operating mode is manual mode, the active power reference value of the battery energy storage system is allocated based on the fixed power reference value of the manual mode of the battery energy storage system and the corrected available charging and discharging power of the battery energy storage system. The remaining power is calculated based on the total power demand of the hybrid power plant and the total available renewable energy power generation capacity of the hybrid power plant in the overall power boundary. When the operating mode is automatic charging mode, the active power reference value of the battery energy storage system is determined based on the remaining power and the real-time available charging power of the battery energy storage system, and the active power reference value of the battery energy storage system is allocated. When the operating mode is automatic discharge mode, the active power reference value of the battery energy storage system is determined based on the remaining power and the real-time available discharge power of the battery energy storage system, and the active power reference value of the battery energy storage system is allocated. When the operating mode is frequency regulation mode, the corrected available charging and discharging power of the battery energy storage system is used as the active power reference value of the battery energy storage system for allocation.

[0114] It should be noted that different modes of flag bits can be defined, for example, the flag bits of the battery energy storage system can be defined as follows. This flag is a state variable, when When this time, it indicates that the battery energy storage system has entered manual mode. When the time is specified, it indicates that the battery energy storage system has entered automatic operation mode, which includes automatic charging, automatic discharging, and frequency regulation only mode.

[0115] If the current mode is manual, the battery energy storage system operates according to the fixed power reference value issued by the EMS, and must also provide reserved frequency services. The active power reference value allocated to the battery energy storage system is:

[0116] In the above formula, This is the reference value for the active power of the battery energy storage system that needs to be allocated. The fixed power reference value for BESS manual mode issued by EMS. and These represent the frequency up-regulation and down-regulation participation factors of BESS, respectively.

[0117] When allocating resources, the following upper and lower bound constraints must be met:

[0118] In the above formula, Correct the available discharge power for the battery energy storage system.

[0119] In manual mode, the state of charge of the battery energy storage system must meet certain constraints to ensure the effective provision of frequency services:

[0120] In the above formula, This represents the real-time state of charge of the BESS. and These are the minimum and maximum states of charge after BESS correction. and To provide a state of charge reserved for frequency upscaling and downscaling services, and This is a flag used to trigger the service activation when the frequency is increased or decreased.

[0121] In practical implementation, the remaining power can be calculated based on the total power demand of the hybrid power plant and the total available renewable energy generation capacity of the hybrid power plant within the overall power boundary. Remaining power = .

[0122] If the current mode is automatic charging mode, when the renewable energy generation output exceeds the total power demand of the hybrid power station, the BESS will charge with the surplus power, and the allocated active power reference value is:

[0123] In the above formula, The total available renewable energy generation capacity of the hybrid power plant For the remaining power, The real-time available charging power of the battery energy storage system is determined by taking the maximum value between the remaining power and the real-time available charging power of the battery energy storage system as the reference value for the active power of the battery energy storage system to be allocated. In automatic charging mode, Operational constraints must be met:

[0124] If the current mode is automatic discharge mode, when the output of renewable energy generation cannot meet the total power demand of the hybrid power plant, BESS discharges to supplement the power gap, and the allocated active power reference value is:

[0125] In the above formula, To determine the real-time available discharge power of the battery energy storage system, the minimum value between the remaining power and the real-time available discharge power is taken as the reference value for the active power of the battery energy storage system to be allocated. In automatic discharge mode, Operational constraints must be met:

[0126] If the current mode is frequency regulation mode, BESS does not participate in power gap filling or surplus power consumption of hybrid power plants, but only provides reserved frequency service backup. The allocated active power reference value is:

[0127] In FM-only mode, It can operate within the full power range of BESS, subject to the following constraints:

[0128] In frequency modulation-only mode, the state of charge of BESS has no correction constraints and can operate within its original range, ensuring maximum flexibility of frequency service. The constraints are as follows:

[0129] In the above formula, and These represent the minimum and maximum initial state of charge of BESS.

[0130] This embodiment acquires the reserve requirement data for frequency services; calculates the total frequency increase reserve capacity and the total frequency decrease reserve capacity of the hybrid power stations based on the reserve requirement data; corrects the real-time available active power of each power station in the overall power boundary based on the total frequency increase reserve capacity and the total frequency decrease reserve capacity of the hybrid power stations, obtaining the corrected available power of each power station; and performs coordinated active power allocation based on the overall power boundary and the corrected available power to obtain the active power allocation result. Through the above process, when performing coordinated active power allocation, the operating characteristics and constraints of each power station need to be comprehensively considered to achieve efficient and stable operation of the hybrid power stations as a whole. Specifically, for different modes and priorities, the system can dynamically adjust the active power reference value of each power station to ensure that the total demand power is met while taking into account the real-time response capability of frequency services.

[0131] It should be noted that the above examples are only for understanding this application and do not constitute a limitation on the dispatching method of the multi-entity hybrid power plant of this application. Any simple modifications based on this technical concept are within the protection scope of this application.

[0132] This application also provides a dispatching device for a multi-entity hybrid power plant, please refer to... Figure 4 The dispatching device for the multi-entity hybrid power station includes: The acquisition module 10 is used to acquire real-time operating data of multi-entity hybrid power plants.

[0133] The calculation module 20 is used to calculate the overall power boundary of the hybrid power plant based on the real-time operating data.

[0134] The allocation module 30 is used to perform active power collaborative allocation based on the overall power boundary to obtain the active power allocation result.

[0135] The allocation module 30 is also used to perform reactive power collaborative allocation based on the active power allocation result to obtain the reactive power allocation result.

[0136] The scheduling module 40 is used to perform power scheduling based on the active power allocation result and the reactive power allocation result.

[0137] The multi-entity hybrid power plant scheduling device provided in this application, employing the multi-entity hybrid power plant scheduling method described in the above embodiments, can solve the technical problems of current hybrid power plants not covering multi-entity collaborative scheduling and scheduling failing to fully utilize the capabilities of different equipment, easily leading to control conflicts and resource waste. Compared with the prior art, the beneficial effects of the multi-entity hybrid power plant scheduling device provided in this application are the same as those of the multi-entity hybrid power plant scheduling method provided in the above embodiments, and other technical features in the multi-entity hybrid power plant scheduling device are the same as those disclosed in the methods of the above embodiments, and will not be repeated here.

[0138] In one embodiment, the calculation module 20 is further configured to obtain the real-time available active power, the real-time available charging and discharging power, and the active power reference value of each power station based on the real-time operating data; and to calculate the overall power boundary of the hybrid power station based on the real-time available active power, the real-time available charging and discharging power, and the active power reference value of each power station.

[0139] In one embodiment, the calculation module 20 is further configured to obtain the real-time available active power of the offshore wind farm, the real-time available active power of the onshore floating photovoltaic power station, and the real-time available active power of the electrolytic hydrogen production cell based on the real-time available active power of each power station; obtain the real-time available charging power and the real-time available discharging power of the battery energy storage system based on the real-time available charging and discharging power of each power station; obtain the grid connection point active power reference value and the hydrogen production active power reference value based on the active power reference value of each power station; and obtain the real-time available active power of the offshore wind farm, the real-time available active power of the onshore floating photovoltaic power station, and the real-time available active power of the electrolytic hydrogen production cell based on the real-time available active power of each power station. The total available active power of the hybrid power station is calculated based on the real-time available active power of the station and the real-time available discharge power of the battery energy storage system; the total available active power consumption of the hybrid power station is calculated based on the real-time available active power of the electrolytic hydrogen production cell and the real-time available charging power of the battery energy storage system; the total power demand of the hybrid power station is calculated based on the reference value of the active power at the grid connection point and the reference value of the active power of hydrogen production; and the overall power boundary of the hybrid power station is obtained based on the total available active power of the hybrid power station, the total available active power consumption of the hybrid power station, and the total power demand of the hybrid power station.

[0140] In one embodiment, the allocation module 30 is further configured to: acquire standby reserve requirement data for frequency services; calculate the total frequency increase reserve capacity and the total frequency decrease reserve capacity of the hybrid power stations based on the standby reserve requirement data; correct the real-time available active power of each power station in the overall power boundary based on the total frequency increase reserve capacity and the total frequency decrease reserve capacity of the hybrid power stations to obtain the corrected available power of each power station; and perform active power collaborative allocation based on the overall power boundary and the corrected available power to obtain the active power allocation result.

[0141] In one embodiment, the allocation module 30 is further configured to obtain the corrected available charge / discharge power of the battery energy storage system, the corrected available active power of the offshore wind farm, the corrected available active power of the onshore floating photovoltaic power station, and the corrected available active power of the electrolyzer based on the corrected available active power of the electrolyzer; allocate a reference value for the active power of the electrolytic hydrogen production electrolyzer based on the corrected available active power of the electrolyzer; when the sum of the corrected available active power of the battery energy storage system and the total power demand of the hybrid power station in the overall power boundary is greater than or equal to the sum of the corrected available active power of the offshore wind farm and the corrected available active power of the onshore floating photovoltaic power station, determine the current mode as the maximum power point tracking mode; allocate the corrected available active power of the offshore wind farm as the reference value for the active power of the offshore wind farm, and allocate the corrected available active power of the onshore floating photovoltaic power station as the reference value for the active power of the onshore floating photovoltaic power station; obtain the operating mode of the battery energy storage system, and allocate the reference value for the active power of the battery energy storage system according to the operating mode / or the corrected available charge / discharge power of the battery energy storage system to obtain the active power allocation result.

[0142] In one embodiment, the allocation module 30 is further configured to: acquire the operating mode of the battery energy storage system; when the operating mode is manual mode, allocate the active power reference value of the battery energy storage system based on the issued fixed power reference value of the manual mode of the battery energy storage system and the corrected available charging and discharging power of the battery energy storage system; calculate the remaining power based on the total demand power of the hybrid power station and the total available renewable energy power generation power of the hybrid power station in the overall power boundary; when the operating mode is automatic charging mode, determine the active power reference value of the battery energy storage system based on the remaining power and the real-time available charging power of the battery energy storage system, and allocate the active power reference value of the battery energy storage system; when the operating mode is automatic discharging mode, determine the active power reference value of the battery energy storage system based on the remaining power and the real-time available discharging power of the battery energy storage system, and allocate the active power reference value of the battery energy storage system; when the operating mode is frequency regulation mode, allocate the corrected available charging and discharging power of the battery energy storage system as the active power reference value of the battery energy storage system.

[0143] In one embodiment, the allocation module 30 is further configured to: obtain the active power reference value of each power station based on the active power allocation result; obtain the available apparent power and total reactive power target value of each power station; calculate the available reactive power capacity of each power station based on the available apparent power and the active power reference value of each power station; calculate the total available reactive power capacity of the mixed power station based on the available reactive power capacity of each power station; set the reactive power participation factor of each power station according to the proportion of the available reactive power capacity of each power station to the total available reactive power capacity of the mixed power station; calculate the reactive power reference value of each power station based on the total reactive power target value and the reactive power participation factor; and allocate the reactive power reference value of each power station to each power station.

[0144] This application provides a scheduling device for a multi-entity hybrid power plant. The scheduling device for a multi-entity hybrid power plant includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the scheduling method for the multi-entity hybrid power plant in the above embodiment 1.

[0145] The following is for reference. Figure 5This document illustrates a schematic diagram of a scheduling device suitable for implementing the embodiments of this application for a multi-entity hybrid power station. The scheduling device for the multi-entity hybrid power station in the embodiments of this application may include, but is not limited to, mobile terminals such as mobile phones, laptops, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Description), PMPs (Portable Media Players), vehicle terminals (e.g., vehicle navigation terminals), and fixed terminals such as digital TVs and desktop computers. Figure 5 The dispatching equipment for the multi-entity hybrid power plant shown is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of this application.

[0146] like Figure 5 As shown, the dispatching equipment for a multi-entity hybrid power station may include a processing unit 1001 (e.g., a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to programs stored in ROM (Read Only Memory) 1002 or programs loaded from storage device 1003 into RAM (Random Access Memory) 1004. RAM 1004 also stores various programs and data required for the operation of the dispatching equipment for the multi-entity hybrid power station. The processing unit 1001, ROM 1002, and RAM 1004 are interconnected via bus 1005. Input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to I / O interface 1006: input devices 1007 including, for example, touchscreens, touchpads, keyboards, mice, image sensors, microphones, accelerometers, gyroscopes, etc.; output devices 1008 including, for example, LCDs (Liquid Crystal Displays), speakers, vibrators, etc.; storage devices 1003 including, for example, magnetic tapes, hard disks, etc.; and communication devices 1009. Communication device 1009 allows the dispatching equipment of a multi-entity hybrid power plant to exchange data with other devices wirelessly or via wired communication. Although the figure shows dispatching equipment for a multi-entity hybrid power plant with various systems, it should be understood that it is not required to implement or possess all the systems shown. More or fewer systems may be implemented alternatively.

[0147] Specifically, according to the embodiments disclosed in this application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments disclosed in this application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication device, or installed from storage device 1003, or installed from ROM 1002. When the computer program is executed by processing device 1001, it performs the functions defined in the methods of the embodiments disclosed in this application.

[0148] The multi-entity hybrid power plant scheduling equipment provided in this application, employing the multi-entity hybrid power plant scheduling method described in the above embodiments, can solve the technical problems of current hybrid power plants not covering multi-entity collaborative scheduling and scheduling failing to fully utilize the capabilities of different equipment, easily leading to control conflicts and resource waste. Compared with the prior art, the beneficial effects of the multi-entity hybrid power plant scheduling equipment provided in this application are the same as those of the multi-entity hybrid power plant scheduling method provided in the above embodiments, and other technical features in this multi-entity hybrid power plant scheduling equipment are the same as those disclosed in the previous embodiment method, and will not be repeated here.

[0149] It should be understood that the various parts disclosed in this application can be implemented using hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in any suitable manner in one or more embodiments or examples.

[0150] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0151] This application provides a computer-readable storage medium having computer-readable program instructions (i.e., a computer program) stored thereon, which are used to execute the scheduling method of the multi-entity hybrid power plant in the above embodiments.

[0152] The computer-readable storage medium provided in this application may be, for example, a USB flash drive, but is not limited to, electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: electrical connections having one or more wires, portable computer disks, hard disks, RAM (Random Access Memory), ROM (Read Only Memory), EPROM (Erasable Programmable Read Only Memory or Flash Memory), optical fibers, CD-ROM (CD-Read Only Memory), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, system, or device. The program code contained on the computer-readable storage medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination thereof.

[0153] The aforementioned computer-readable storage medium may be included in the dispatching equipment of a multi-entity hybrid power plant; or it may exist independently and not be assembled into the dispatching equipment of a multi-entity hybrid power plant.

[0154] The aforementioned computer-readable storage medium carries one or more programs. When these programs are executed by the scheduling equipment of the multi-entity hybrid power station, the scheduling equipment of the multi-entity hybrid power station causes the following: to acquire real-time operating data of the multi-entity hybrid power station; to calculate the overall power boundary of the hybrid power station based on the real-time operating data; to perform active power collaborative allocation based on the overall power boundary to obtain an active power allocation result; to perform reactive power collaborative allocation based on the active power allocation result to obtain a reactive power allocation result; and to perform power scheduling based on the active power allocation result and the reactive power allocation result.

[0155] Computer program code for performing the operations of this application can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, as well as conventional procedural programming languages ​​such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including LAN (Local Area Network) or WAN (Wide Area Network)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0156] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0157] The modules described in the embodiments of this application can be implemented in software or hardware. The names of the modules do not necessarily limit the functionality of the unit itself.

[0158] The readable storage medium provided in this application is a computer-readable storage medium that stores computer-readable program instructions (i.e., a computer program) for executing the above-described multi-entity hybrid power plant scheduling method. This solves the technical problems of current hybrid power plants not covering multi-entity collaborative scheduling and the inability to fully utilize the capabilities of different devices, leading to control conflicts and resource waste. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in this application are the same as those of the multi-entity hybrid power plant scheduling method provided in the above embodiments, and will not be elaborated upon here.

[0159] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the multi-entity hybrid power plant scheduling method described above.

[0160] The computer program product provided in this application can solve the technical problems of current hybrid power plants not covering multi-entity collaborative scheduling and scheduling failing to fully utilize the capabilities of different equipment, easily leading to control conflicts and resource waste. Compared with the prior art, the beneficial effects of the computer program product provided in this application are the same as the beneficial effects of the multi-entity hybrid power plant scheduling method provided in the above embodiments, and will not be repeated here.

[0161] The above description is only a part of the embodiments of this application and does not limit the patent scope of this application. All equivalent structural transformations made under the technical concept of this application and using the contents of the specification and drawings of this application, or direct / indirect applications in other related technical fields, are included in the patent protection scope of this application.

Claims

1. A method for scheduling a multi-agent hybrid power plant, characterized in that, The scheduling method for the multi-entity hybrid power plant includes: Acquire real-time operational data of multi-entity hybrid power plants; The overall power boundary of the hybrid power plant is calculated based on the real-time operating data. Active power is allocated collaboratively based on the overall power boundary to obtain the active power allocation result; Based on the active power allocation result, reactive power is allocated collaboratively to obtain the reactive power allocation result; Power scheduling is performed based on the active power allocation results and the reactive power allocation results.

2. The method of claim 1, wherein, The step of calculating the overall power boundary of the hybrid power plant based on the real-time operating data includes: Based on the real-time operating data, the real-time available active power, the real-time available charging and discharging power, and the active power reference value of each power station are obtained. The overall power boundary of the hybrid power station is calculated based on the real-time available active power, the real-time available charging and discharging power, and the reference value of active power of each power station.

3. The method of claim 2, wherein, The steps for calculating the overall power boundary of the hybrid power station based on the real-time available active power of each power station, the real-time available charging and discharging power of each power station, and the active power reference value of each power station include: The real-time available active power of offshore wind farms, onshore floating photovoltaic power plants, and electrolytic hydrogen production cells are obtained based on the real-time available active power of each power station. The real-time available charging power and real-time available discharging power of the battery energy storage system are obtained based on the real-time available charging and discharging power of each power station. Based on the active power reference values ​​of each power station, the active power reference values ​​at the grid connection point and the active power reference values ​​for hydrogen production are obtained. The total available active power of the hybrid power station is calculated based on the real-time available active power of the offshore wind farm, the real-time available active power of the onshore floating photovoltaic power station, and the real-time available discharge power of the battery energy storage system. The total available active power consumption of the hybrid power station is calculated based on the real-time available active power of the electrolytic hydrogen production cell and the real-time available charging power of the battery energy storage system. The total power demand of the hybrid power plant is calculated based on the reference value of active power at the grid connection point and the reference value of active power for hydrogen production. The overall power boundary of the hybrid power station is obtained based on the total available active power generation, the total available active power consumption, and the total power demand of the hybrid power station.

4. The method of claim 1, wherein, The step of performing active power coordinated allocation based on the overall power boundary to obtain the active power allocation result includes: Obtain backup reservation requirements data for frequency services; Calculate the total frequency of the hybrid power plant's reserve capacity for upward adjustment and the total frequency of the hybrid power plant's reserve capacity for downward adjustment based on the aforementioned reserve requirement data; The real-time available active power of each power station in the overall power boundary is corrected based on the increase in reserve capacity and decrease in reserve capacity of the total frequency of the hybrid power station, so as to obtain the corrected available power of each power station. Active power is allocated collaboratively based on the overall power boundary and the corrected available power to obtain the active power allocation result.

5. The method of claim 4, wherein, The step of performing active power coordinated allocation based on the overall power boundary and the corrected available power to obtain the active power allocation result includes: The corrected available charging and discharging power of the battery energy storage system, the corrected available active power of the offshore wind farm, the corrected available active power of the onshore floating photovoltaic power station, and the corrected available active power of the electrolyzer are obtained based on the corrected available power. Based on the modified active power of the electrolyzer, the active power reference value allocation of the electrolytic hydrogen production electrolyzer is carried out. When the sum of the corrected available active power of the battery energy storage system and the total power demand of the hybrid power station in the overall power boundary is greater than or equal to the sum of the corrected available active power of the offshore wind farm and the corrected available active power of the onshore floating photovoltaic power station, the current mode is determined to be the maximum power point tracking mode. The corrected available active power of the offshore wind farm is used as a reference value for the active power of the offshore wind farm, and the corrected available active power of the onshore floating photovoltaic power station is used as a reference value for the active power of the onshore floating photovoltaic power station. Obtain the operating mode of the battery energy storage system, and allocate the active power reference value of the battery energy storage system according to the operating mode and / or the battery energy storage system modified available charging and discharging power, to obtain the active power allocation result.

6. The method of claim 5, wherein, The step of obtaining the operating mode of the battery energy storage system and allocating the active power reference value of the battery energy storage system according to the operating mode and / or the battery energy storage system after correcting the available charging and discharging power includes: Obtain the operating mode of the battery energy storage system; When the operating mode is manual mode, the active power reference value of the battery energy storage system is allocated based on the fixed power reference value of the manual mode of the battery energy storage system and the corrected available charging and discharging power of the battery energy storage system. The remaining power is calculated based on the total power demand of the hybrid power plant and the total available renewable energy power generation capacity of the hybrid power plant in the overall power boundary. When the operating mode is automatic charging mode, the active power reference value of the battery energy storage system is determined based on the remaining power and the real-time available charging power of the battery energy storage system, and the active power reference value of the battery energy storage system is allocated. When the operating mode is automatic discharge mode, the active power reference value of the battery energy storage system is determined based on the remaining power and the real-time available discharge power of the battery energy storage system, and the active power reference value of the battery energy storage system is allocated. When the operating mode is frequency regulation mode, the corrected available charging and discharging power of the battery energy storage system is used as the active power reference value of the battery energy storage system for allocation.

7. The method of any one of claims 1 to 6, wherein, The step of performing reactive power coordinated allocation based on the active power allocation result to obtain the reactive power allocation result includes: The active power reference value for each power station is obtained based on the active power allocation results. Obtain the available apparent power and total reactive power target value for each power station; The available reactive power capacity of each power station is calculated based on the available apparent power and the active power reference value of each power station. Calculate the total available reactive power capacity of the hybrid power station based on the available reactive power capacity of each power station; The reactive power participation factor of each power station is set according to the proportion of the available reactive capacity of each power station to the total available reactive capacity of the hybrid power station. The reactive power reference value for each power station is calculated based on the total reactive power target value and the reactive power participation factor. The reactive power reference values ​​of each power station are allocated to each power station.

8. A dispatching device of a multi-body hybrid power plant, characterized by, The device includes: The acquisition module is used to acquire real-time operating data of multi-entity hybrid power plants; The calculation module is used to calculate the overall power boundary of the hybrid power plant based on the real-time operating data; The allocation module is used to perform active power collaborative allocation based on the overall power boundary to obtain the active power allocation result; The allocation module is also used to perform reactive power coordinated allocation based on the active power allocation result to obtain the reactive power allocation result; The scheduling module is used to perform power scheduling based on the active power allocation result and the reactive power allocation result.

9. A dispatching device of a multi-body hybrid power plant, characterized by, The device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the scheduling method for a multi-entity hybrid power plant as described in any one of claims 1 to 7.

10. A storage medium, characterized by The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, it implements the steps of the scheduling method for a multi-entity hybrid power plant as described in any one of claims 1 to 7.

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