WO2024093353A1 - 一种虚拟电厂的电力市场交易方法、装置及电子设备 - Google Patents

一种虚拟电厂的电力市场交易方法、装置及电子设备 Download PDF

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WO2024093353A1
WO2024093353A1 PCT/CN2023/106887 CN2023106887W WO2024093353A1 WO 2024093353 A1 WO2024093353 A1 WO 2024093353A1 CN 2023106887 W CN2023106887 W CN 2023106887W WO 2024093353 A1 WO2024093353 A1 WO 2024093353A1
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price
predicted
market
amplitude
strategy
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PCT/CN2023/106887
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English (en)
French (fr)
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钱磊
朱卓敏
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上海电享信息科技有限公司
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Publication of WO2024093353A1 publication Critical patent/WO2024093353A1/zh

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201—Market modelling; Market analysis; Collecting market data
    • G06Q30/0206—Price or cost determination based on market factors
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Energy or water supply

Definitions

  • the present invention relates to the technical field of power market transactions, and in particular to a power market transaction method, device and electronic equipment for a virtual power plant.
  • This specification provides a method, device and electronic equipment for power market trading of a virtual power plant, which analyzes and predicts historical and future market prices respectively, thereby delineating different price areas and implementing focused grid trading in different continuous price areas.
  • the charging and discharging behavior and target quantity are determined according to the various conditions of the resources at that time.
  • the overall process is faster and more effective, and is suitable for short-term arbitrage markets with drastic price fluctuations.
  • This specification provides a power market transaction method for a virtual power plant, including:
  • a charging and discharging market trading strategy is determined.
  • the determination of the predicted price type includes:
  • the predicted price type is determined by combining the actual market price of the historical trading day and the predicted market price of the current trading day.
  • determining the charging and discharging market transaction strategy based on the predicted market price amplitude classification and predicted price type includes:
  • the predicted market price amplitude classification includes rising amplitude and falling amplitude
  • a charging and discharging market transaction strategy is determined.
  • determining a charging and discharging market transaction strategy based on the discharging strategy/the charging strategy and the predicted price type includes:
  • the predicted price types include high price area, low price area and normal price area;
  • the charging and discharging market transaction strategy is determined.
  • the strategies include high-price area discharge strategy, low-price area discharge strategy, normal area discharge strategy, high-price area charging strategy, low-price area charging strategy, and normal area charging strategy.
  • a power market trading device for a virtual power plant comprising:
  • the acquisition module is used to obtain the actual market price of the current trading period and the predicted market price of the next trading period;
  • a combining module used for combining the actual market price of the current trading period with the predicted market price of the next trading period to obtain a predicted market price amplitude
  • a first judgment module is used to judge whether the predicted market price amplitude reaches a preset amplitude
  • a second judgment module configured to judge the prediction market price amplitude classification when the prediction market price amplitude reaches the preset amplitude
  • the determination module is used to determine the charging and discharging market transaction strategy based on the predicted market price amplitude classification and the predicted price type.
  • the determination of the predicted price type includes:
  • the predicted price type is determined by combining the actual market price of the historical trading day and the predicted market price of the current trading day.
  • the determining module includes:
  • the predicted market price amplitude classification includes rising amplitude and falling amplitude
  • a charging and discharging market transaction strategy is determined.
  • determining a charging and discharging market transaction strategy based on the discharging strategy/the charging strategy and the predicted price type includes:
  • the predicted price types include high price area, low price area and normal price area;
  • the charging and discharging market trading strategy Based on the discharge strategy/the charging strategy and the high-price zone/the low-price zone/the normal zone, and in combination with the corresponding restrictions, the charging and discharging market trading strategy is determined, and the charging and discharging market trading strategy includes the high-price zone discharge strategy, the low-price zone discharge strategy, the normal zone discharge strategy, the high-price zone charging strategy, the low-price zone charging strategy, and the normal zone charging strategy.
  • This specification also provides an electronic device, wherein the electronic device includes:
  • a memory storing computer executable instructions, which when executed cause the processor to perform any of the above methods.
  • the present specification also provides a computer-readable storage medium, wherein the computer-readable storage medium stores one or more programs, and when the one or more programs are executed by a processor, any of the above methods is implemented.
  • FIG1 is a schematic diagram showing the principle of a power market transaction method for a virtual power plant provided in an embodiment of this specification
  • FIG2 is a schematic diagram of the structure of a power market trading device of a virtual power plant provided in an embodiment of this specification;
  • FIG3 is a schematic diagram of the structure of an electronic device provided in an embodiment of this specification.
  • FIG. 4 is a schematic diagram of a computer-readable medium provided in an embodiment of this specification.
  • FIG1 is a schematic diagram of the principle of a power market transaction method of a virtual power plant provided in an embodiment of this specification.
  • the method may include:
  • the actual market price of the current trading period and the actual market price of the historical period are collected, and combined with various factors, such as weather, market conditions, market public trading data, etc., artificial intelligence algorithms, such as nonlinear fitting, extreme gradient boosting, Transformer, Informer and other algorithms, are used to predict the market price of the next trading period.
  • artificial intelligence algorithms such as nonlinear fitting, extreme gradient boosting, Transformer, Informer and other algorithms, are used to predict the market price of the next trading period.
  • the actual market price of the current trading period is compared with the predicted market price of the next trading period, and the difference between the two is the predicted market price amplitude.
  • the preset market price amplitude is compared to see whether it is not less than the preset amplitude n%.
  • the category to which the preset market price amplitude belongs is determined; when the preset market price amplitude is less than the preset amplitude n%, return to obtain the predicted market price amplitude.
  • S150 Determine a charging and discharging market transaction strategy based on the predicted market price amplitude classification and predicted price type.
  • the determination of the predicted price type includes:
  • the predicted price type is determined by combining the actual market price of the historical trading day and the predicted market price of the current trading day.
  • determining the charging and discharging market transaction strategy based on the predicted market price amplitude classification and predicted price type includes:
  • the predicted market price amplitude classification includes rising amplitude and falling amplitude
  • a charging and discharging market transaction strategy is determined.
  • determining a charging and discharging market transaction strategy based on the discharging strategy/the charging strategy and the predicted price type includes:
  • the predicted price types include high price area, low price area and normal price area;
  • the charging and discharging market trading strategy Based on the discharge strategy/the charging strategy and the high-price zone/the low-price zone/the normal zone, and in combination with the corresponding restrictions, the charging and discharging market trading strategy is determined, and the charging and discharging market trading strategy includes the high-price zone discharge strategy, the low-price zone discharge strategy, the normal zone discharge strategy, the high-price zone charging strategy, the low-price zone charging strategy, and the normal zone charging strategy.
  • the high price zone is mainly for selling, with an emphasis on discharge. If it is in a discharge strategy, the resource constraints to be considered will be relatively few; if it is in a charging strategy, the resource constraints to be considered will be relatively more.
  • the constraints of the high price zone discharge strategy include sufficient energy status (such as higher than 25%), price status and profit space.
  • the constraints of the high price zone charging strategy include lack of energy status (such as lower than 30%), price status and profit space, the actual market average price of the first three trading time periods, the average price of the same time period in the first seven days, and the actual market average price of the previous trading time period.
  • the low-price zone is mainly for buying, with an emphasis on charging. If it is in a charging strategy, there will be relatively few resource constraints to consider; if it is in a discharging strategy, there will be relatively more resource constraints to consider.
  • the constraints of the low-price zone discharging strategy include sufficient energy status (such as above 70%), price status and profit margin, the actual market average price in the first three trading time periods, the average price in the same time period in the first seven days, and the actual market average price in the previous trading time period.
  • the constraints of the low-price zone charging strategy include lack of energy status (such as below 75%), price status and profit margin.
  • the weight of the normal zone will be slightly lower than that of the high price and the low price, but it will have different emphases according to the price zone after the normal zone. If the next trading period of the normal zone discharge strategy is the low price zone, the emphasis will be on discharge, and the restrictions include sufficient energy status (such as higher than 40%), price status and profit margin (spot price is greater than the energy unit price of the overall VPP at this stage), and the actual market average price of the first three trading periods. If the next trading period of the normal zone discharge strategy is the high price zone, the emphasis will be on charging, and the restrictions include sufficient energy status (such as higher than 60%), price status and profit margin, the actual market average price of the first three trading periods, and the average price of the same period in the previous seven days.
  • sufficient energy status such as higher than 40%
  • price status and profit margin spot price is greater than the energy unit price of the overall VPP at this stage
  • the restrictions include sufficient energy status (such as higher than 60%), price status and profit margin, the actual market average price of the first three trading periods,
  • next trading period of the normal zone charging strategy is a low-price zone
  • the emphasis is on discharge, and the restrictions include lack of energy status (such as less than 40%), price status and profit margin, and the actual market average price of the first three trading periods.
  • the next trading period of the normal zone charging strategy is a high-price zone
  • the emphasis is on charging, and the restrictions include lack of energy status (such as less than 60%), price status and profit margin, and the actual market average price of the first three trading periods.
  • the constraints also include the current energy price per unit of energy storage, the current market profit margin, the comparison of prices with recent trading periods and historical trading periods, battery health and capacity, site performance, and the current battery SOC, etc.
  • FIG2 is a schematic diagram of a power market trading device of a virtual power plant provided in an embodiment of this specification, and the device may include:
  • An acquisition module 10 is used to acquire the actual market price of the current trading period and the predicted market price of the next trading period;
  • a combining module 20 is used to combine the actual market price of the current trading period and the predicted market price of the next trading period to obtain a predicted market price amplitude;
  • a first judgment module 30 is used to judge whether the predicted market price amplitude reaches a preset amplitude
  • a second judgment module 40 is used to judge the prediction market price amplitude classification when the prediction market price amplitude reaches the preset amplitude;
  • the determination module 50 is used to determine the charging and discharging market transaction strategy based on the predicted market price amplitude classification and the predicted price type.
  • the determination of the predicted price type includes:
  • the predicted price type is determined by combining the actual market price of the historical trading day and the predicted market price of the current trading day.
  • the determining module 50 includes:
  • the predicted market price amplitude classification includes rising amplitude and falling amplitude
  • a charging and discharging market transaction strategy is determined.
  • determining a charging and discharging market transaction strategy based on the discharging strategy/the charging strategy and the predicted price type includes:
  • the predicted price types include high price area, low price area and normal price area;
  • the charging and discharging market trading strategy Based on the discharge strategy/the charging strategy and the high-price zone/the low-price zone/the normal zone, and in combination with the corresponding restrictions, the charging and discharging market trading strategy is determined, and the charging and discharging market trading strategy includes the high-price zone discharge strategy, the low-price zone discharge strategy, the normal zone discharge strategy, the high-price zone charging strategy, the low-price zone charging strategy, and the normal zone charging strategy.
  • an embodiment of this specification also provides an electronic device.
  • the electronic device embodiment of the present invention is described below, and the electronic device can be regarded as a specific physical implementation of the method and device embodiments of the present invention described above.
  • the details described in the electronic device embodiment of the present invention should be regarded as a supplement to the above method or device embodiments; details not disclosed in the electronic device embodiment of the present invention can be implemented with reference to the above method or device embodiments.
  • FIG 3 is a schematic diagram of the structure of an electronic device provided in an embodiment of this specification.
  • the electronic device 300 according to this embodiment of the present invention is described below with reference to Figure 3.
  • the electronic device 300 shown in Figure 3 is only an example and should not bring any limitation to the functions and scope of use of the embodiment of the present invention.
  • the electronic device 300 is in the form of a general-purpose computing device.
  • the components of the electronic device 300 may include but are not limited to: at least one processing unit 310, at least one storage unit 320, a connection A bus 330 for various system components including a storage unit 320 and a processing unit 310, a display unit 340, etc.
  • the storage unit stores program codes, which can be executed by the processing unit 310, so that the processing unit 310 performs the steps according to various exemplary embodiments of the present invention described in the above processing method section of this specification.
  • the processing unit 310 can perform the steps shown in Figure 1.
  • the storage unit 320 may include a readable medium in the form of a volatile storage unit, such as a random access memory unit (RAM) 3201 and/or a cache memory unit 3202 , and may further include a read-only memory unit (ROM) 3203 .
  • RAM random access memory unit
  • ROM read-only memory unit
  • the storage unit 320 may also include a program/utility 3204 having a set (at least one) of program modules 3205, such program modules 3205 including but not limited to: an operating system, one or more application programs, other program modules and program data, each of which or some combination may include the implementation of a network environment.
  • program modules 3205 including but not limited to: an operating system, one or more application programs, other program modules and program data, each of which or some combination may include the implementation of a network environment.
  • Bus 330 may represent one or more of several types of bus structures, including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.
  • the electronic device 300 may also communicate with one or more external devices 400 (e.g., keyboards, pointing devices, Bluetooth devices, etc.), may also communicate with one or more devices that enable viewers to interact with the electronic device 300, and/or communicate with any device that enables the electronic device 300 to communicate with one or more other computing devices (e.g., routers, modems, etc.). Such communication may be performed via an input/output (I/O) interface 350.
  • the electronic device 300 may also communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and/or a public network, such as the Internet) via a network adapter 360.
  • the network adapter 360 may communicate with other modules of the electronic device 300 via the bus 330.
  • the technical solution according to the implementation method of the present invention can be embodied in the form of a software product, which can be stored in a computer-readable storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, including a number of instructions to enable a computing device (which can be a personal computer, a server, or a network device, etc.) to perform the above method according to the present invention.
  • a computer-readable storage medium which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.
  • the computer-readable medium can implement the above method of the present invention, that is, the method shown in Figure 1.
  • FIG. 4 is a schematic diagram of a computer-readable medium provided in an embodiment of this specification.
  • the computer program implementing the method shown in Figure 1 can be stored on one or more computer-readable media.
  • the computer-readable medium can be a readable signal medium or a readable storage medium.
  • the readable storage medium can be, for example, but not limited to, a system, device or device of electricity, magnetism, light, electromagnetic, infrared, or semiconductor, or any combination of the above.
  • readable storage media include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.
  • RAM random access memory
  • ROM read-only memory
  • EPROM or flash memory erasable programmable read-only memory
  • CD-ROM compact disk read-only memory
  • magnetic storage device or any suitable combination of the above.
  • the computer readable storage medium may include a data signal propagated in a baseband or as a part of a carrier wave, wherein a readable program code is carried.
  • the data signal of this propagation may take a variety of forms, including but not limited to an electromagnetic signal, an optical signal, or any suitable combination of the above.
  • the readable storage medium may also be any readable medium other than a readable storage medium, which may send, propagate, or transmit a program for use by an instruction execution system, an apparatus, or a device or used in combination with it.
  • the program code contained on the readable storage medium may be transmitted with any appropriate medium, including but not limited to wireless, wired, optical cable, RF, etc., or any suitable combination of the above.
  • Program code for carrying out operations of the present invention may be written in any combination of one or more programming languages, including object-oriented programming languages such as Java, C++, etc., and also include conventional procedural programming languages—such as "C" or similar programming languages.
  • the program code may be executed entirely on the viewer computing device, partially on the viewer device, as a stand-alone software package, partially on the viewer computing device and partially on a remote computing device, or entirely on a remote computing device or server.
  • the remote computing device may be connected to the viewer computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computing device (e.g., via the Internet using an Internet service provider).
  • LAN local area network
  • WAN wide area network
  • Internet service provider e.g., via the Internet using an Internet service provider
  • the present invention can be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. It should be understood by those skilled in the art that general data processing devices such as microprocessors or digital signal processors (DSPs) can be used in practice to implement some or all of the functions of some or all of the components in the embodiments of the present invention.
  • the present invention can also be implemented as a device or apparatus program (e.g., computer program and computer program product) for executing part or all of the methods described herein.
  • Such a program implementing the present invention can be stored on a computer-readable medium, or can have the form of one or more signals. Such a signal can be downloaded from an Internet website, or provided on a carrier signal, or provided in any other form.

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Abstract

本发明提供了一种虚拟电厂的电力市场交易方法、装置及电子设备，涉及电力市场交易技术领域，包括获取当前交易时段实际市场价格、下一个交易时段预测市场价格；结合当前交易时段实际市场价格和下一个交易时段预测市场价格，得到预测市场价格振幅；判断预测市场价格振幅是否达到预设振幅；当预测市场价格振幅达到预设振幅时，判断预测市场价格振幅分类；基于预测市场价格振幅分类及预测价格类型，确定充放电市场交易策略。本发明整体更加快速有效，并且适合价格波动剧烈的短期套利市场。

Description

一种虚拟电厂的电力市场交易方法、装置及电子设备 技术领域
本发明涉及电力市场交易技术领域，尤其涉及一种虚拟电厂的电力市场交易方法、装置及电子设备。
背景技术
在电力现货交易市场，电力的价格会随着市场的因素频繁波动，影响因素可能包括供需关系、季节气候、能源成本、区域清洁能源的装机量和发电量、当地监管政策等。虚拟电厂汇聚大量储能、可控负荷等资源，进入电力市场进行竞价调配，需要有充放电市场交易策略，通过高低价格的能量转换，实现经济优化。
因此，提出一种虚拟电厂的电力市场交易方法、装置及电子设备。
发明内容
本说明书提供一种虚拟电厂的电力市场交易方法、装置及电子设备，对历史和未来的市场价格分别进行分析和预测，从而刻画出不同的价格区域在不同的连续价格区域中实行有侧重点的网格交易。根据当时资源的各个情况，确定充放行为和目标量。整体更加快速有效，并且适合价格波动剧烈的短期套利市场。
本说明书提供一种虚拟电厂的电力市场交易方法，包括：
获取当前交易时段实际市场价格、下一个交易时段预测市场价格；
结合所述当前交易时段实际市场价格和所述下一个交易时段预测市场价格，得到预测市场价格振幅；
判断所述预测市场价格振幅是否达到预设振幅；
当所述预测市场价格振幅达到所述预设振幅时，判断所述预测市场价格振幅分类；
基于所述预测市场价格振幅分类及预测价格类型，确定充放电市场交易策略。
可选的，所述预测价格类型的确定，包括：
获取历史交易日实际市场价格、当前交易日预测市场价格；
结合所述历史交易日实际市场价格和所述当前交易日预测市场价格，确定预测价格类型。
可选的，还包括：
当所述预测市场价格振幅未达到预设振幅时，返回结合所述当前交易时段实际市场价格和所述下一个交易时段预测市场价格，直至所述预测市场价格振幅达到所述预设振幅。
可选的，所述基于所述预测市场价格振幅分类及预测价格类型，确定充放电市场交易策略，包括：
所述预测市场价格振幅分类包括上涨振幅和下降振幅；
当所述预测市场价格振幅分类为上涨振幅时，确定所述充放电市场交易策略为放电策略；
当所述预测市场价格振幅分类为下降振幅时，确定所述充放电市场交易策略为充电策略；
基于所述放电策略/所述充电策略及预测价格类型，确定充放电市场交易策略。
可选的，所述基于所述放电策略/所述充电策略及预测价格类型，确定充放电市场交易策略，包括：
所述预测价格类型包括高价区、低价区和平常区；
基于所述放电策略/所述充电策略及所述高价区/所述低价区/所述平常区，并结合对应的限制条件，确定所述充放电市场交易策略，所述充放电市场交易 策略包括高价区放电策略、低价区放电策略、平常区放电策略、高价区充电策略、低价区充电策略、平常区充电策略。
一种虚拟电厂的电力市场交易装置，包括：
获取模块，用于获取当前交易时段实际市场价格、下一个交易时段预测市场价格；
结合模块，用于结合所述当前交易时段实际市场价格和所述下一个交易时段预测市场价格，得到预测市场价格振幅；
第一判断模块，用于判断所述预测市场价格振幅是否达到预设振幅；
第二判断模块，用于当所述预测市场价格振幅达到所述预设振幅时，判断所述预测市场价格振幅分类；
确定模块，用于基于所述预测市场价格振幅分类及预测价格类型，确定充放电市场交易策略。
可选的，所述预测价格类型的确定，包括：
获取历史交易日实际市场价格、当前交易日预测市场价格；
结合所述历史交易日实际市场价格和所述当前交易日预测市场价格，确定预测价格类型。
可选的，还包括：
当所述预测市场价格振幅未达到预设振幅时，返回结合所述当前交易时段实际市场价格和所述下一个交易时段预测市场价格，直至所述预测市场价格振幅达到所述预设振幅。
可选的，所述确定模块，包括：
所述预测市场价格振幅分类包括上涨振幅和下降振幅；
当所述预测市场价格振幅分类为上涨振幅时，确定所述充放电市场交易策略为放电策略；
当所述预测市场价格振幅分类为下降振幅时，确定所述充放电市场交易策略为充电策略；
基于所述放电策略/所述充电策略及预测价格类型，确定充放电市场交易策略。
可选的，所述基于所述放电策略/所述充电策略及预测价格类型，确定充放电市场交易策略，包括：
所述预测价格类型包括高价区、低价区和平常区；
基于所述放电策略/所述充电策略及所述高价区/所述低价区/所述平常区，并结合对应的限制条件，确定所述充放电市场交易策略，所述充放电市场交易策略包括高价区放电策略、低价区放电策略、平常区放电策略、高价区充电策略、低价区充电策略、平常区充电策略。
本说明书还提供一种电子设备，其中，该电子设备包括：
处理器；以及，
存储计算机可执行指令的存储器，所述可执行指令在被执行时使所述处理器执行上述任一项方法。
本说明书还提供一种计算机可读存储介质，其中，所述计算机可读存储介质存储一个或多个程序，所述一个或多个程序当被处理器执行时，实现上述任一项方法。
在本说明书中，对历史和未来的市场价格分别进行分析和预测，从而刻画出不同的价格区域在不同的连续价格区域中实行有侧重点的网格交易。根据当时资源的各个情况，确定充放行为和目标量。整体更加快速有效，并且适合价格波动剧烈的短期套利市场。
附图说明
为了更清楚地说明本申请实施例中的技术方案，下面将对实施例描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本申请的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。
图1为本说明书实施例提供的一种虚拟电厂的电力市场交易方法的原理示意图；
图2为本说明书实施例提供的一种虚拟电厂的电力市场交易装置的结构示意图；
图3为本说明书实施例提供的一种电子设备的结构示意图；
图4为本说明书实施例提供的一种计算机可读介质的原理示意图。
具体实施方式
以下描述用于揭露本发明以使本领域技术人员能够实现本发明。以下描述中的优选实施例只作为举例，本领域技术人员可以想到其他显而易见的变型。在以下描述中界定的本发明的基本原理可以应用于其他实施方案、变形方案、改进方案、等同方案以及没有背离本发明的精神和范围的其他技术方案。
以下结合附图1-4更全面地描述本发明的示例性实施例。然而，示例性实施例能够以多种形式实施，且不应被理解为本发明仅限于在此阐述的实施例。相反，提供这些示例性实施例能够使得本发明更加全面和完整，更加便于将发明构思全面地传达给本领域的技术人员。在图中相同的附图标记表示相同或类似的元件、组件或部分，因而将省略对它们的重复描述。
在符合本发明的技术构思的前提下，在某个特定的实施例中描述的特征、结构、特性或其他细节不排除可以以合适的方式结合在一个或更多其他的实施例中。
在对于具体实施例的描述中，本发明描述的特征、结构、特性或其他细节是为了使本领域的技术人员对实施例进行充分理解。但是，并不排除本领域技术人员可以实践本发明的技术方案而没有特定特征、结构、特性或其他细节的一个或更多。
附图中所示的流程图仅是示例性说明，不是必须包括所有的内容和操作/步骤，也不是必须按所描述的顺序执行。例如，有的操作/步骤还可以分解，而有 的操作/步骤可以合并或部分合并，因此实际执行的顺序有可能根据实际情况改变。
附图中所示的方框图仅仅是功能实体，不一定必须与物理上独立的实体相对应。即，可以采用软件形式来实现这些功能实体，或在一个或多个硬件模块或集成电路中实现这些功能实体，或在不同网络和/或处理器装置和/或微控制器装置中实现这些功能实体。
术语“和/或”或者“及/或”包括相关联的列出项目中的任一个或多者的所有组合。
图1为本说明书实施例提供的一种虚拟电厂的电力市场交易方法的原理示意图，该方法可以包括：
S110：获取当前交易时段实际市场价格、下一个交易时段预测市场价格；
在本说明书的具体实施方式中，收集当前交易时段实际市场价格、历史时段实际市场价格，结合多种因素，如天气、市场行情、市场公开交易数据等，利用人工智能算法，如非线性拟合、极致梯度提升、Transformer、Informer等算法，预测出下一个交易时段预测市场价格。
S120：结合所述当前交易时段实际市场价格和所述下一个交易时段预测市场价格，得到预测市场价格振幅；
在本说明书的具体实施方式中，将当前交易时段实际市场价格和下一个交易时段预测市场价格进行比较，二者之间的差值，即为预测市场价格振幅。
S130：判断所述预测市场价格振幅是否达到预设振幅；
S140：当所述预测市场价格振幅达到所述预设振幅时，判断所述预测市场价格振幅分类；
可选的，还包括：
当所述预测市场价格振幅未达到预设振幅时，返回结合所述当前交易时段实际市场价格和所述下一个交易时段预测市场价格，直至所述预测市场价格振幅达到所述预设振幅。
在本说明书的具体实施方式中，对比预设市场价格振幅是否不小于预设振幅n％，当预设市场价格振幅不小于预设振幅n％时，判断预设市场价格振幅的所属分类；当预设市场价格振幅小于预设振幅n％时，返回获取预测市场价格振幅。
S150：基于所述预测市场价格振幅分类及预测价格类型，确定充放电市场交易策略。
可选的，所述预测价格类型的确定，包括：
获取历史交易日实际市场价格、当前交易日预测市场价格；
结合所述历史交易日实际市场价格和所述当前交易日预测市场价格，确定预测价格类型。
可选的，所述基于所述预测市场价格振幅分类及预测价格类型，确定充放电市场交易策略，包括：
所述预测市场价格振幅分类包括上涨振幅和下降振幅；
当所述预测市场价格振幅分类为上涨振幅时，确定所述充放电市场交易策略为放电策略；
当所述预测市场价格振幅分类为下降振幅时，确定所述充放电市场交易策略为充电策略；
基于所述放电策略/所述充电策略及预测价格类型，确定充放电市场交易策略。
可选的，所述基于所述放电策略/所述充电策略及预测价格类型，确定充放电市场交易策略，包括：
所述预测价格类型包括高价区、低价区和平常区；
基于所述放电策略/所述充电策略及所述高价区/所述低价区/所述平常区，并结合对应的限制条件，确定所述充放电市场交易策略，所述充放电市场交易策略包括高价区放电策略、低价区放电策略、平常区放电策略、高价区充电策略、低价区充电策略、平常区充电策略。
在本说明书的具体实施方式中，高价区以卖出为主，侧重放电。如果是处于放电策略，则考虑的资源限制条件会相对少；如果是处于充电策略，则考虑的资源限制条件会相对多。高价区放电策略的限制条件包括能量状态充裕(如高于25％)、价格状态及利润空间。高价区充电策略的限制条件包括能量状态缺乏(如低于30％)、价格状态及利润空间、前三个交易时间段实际市场平均价格、前七天同时间段平均价格、前一交易时间段实际市场平均价格。
低价区以买入为主，侧重充电。如果处于充电策略，则考虑的资源限制条件会相对少；如果是处于放电策略，则考虑的资源限制条件会相对多。低价区放电策略的限制条件包括能量状态充裕(如高于70％)、价格状态及利润空间、前三个交易时间段实际市场平均价格、前七天同时间段平均价格、前一交易时间段实际市场平均价格。低价区充电策略的限制条件包括能量状态缺乏(如低于75％)、价格状态及利润空间。
平常区侧重的权重会比高价、低价都稍微低，但是会根据平常区后面的价格区，有不同的侧重。如果平常区放电策略的后一交易时间段是低价区，则侧重放电，限制条件包括能量状态充裕(如高于40％)、价格状态及利润空间(现货价格大于现阶段整体VPP的能源单价)、前三个交易时间段实际市场平均价格。如果平常区放电策略的后一交易时间段是高价区，则侧重充电，限制条件包括能量状态充裕(如高于60％)、价格状态及利润空间、前三个交易时间段实际市场平均价格、前七天同时间段平均价格。
如果平常区充电策略的后一交易时间段是低价区，则侧重放电，限制条件包括能量状态缺乏(如低于40％)、价格状态及利润空间、前三个交易时间段实际市场平均价格。如果平常区充电策略的后一交易时间段是高价区，则侧重充电，限制条件包括能量状态缺乏(如低于60％)、价格状态及利润空间、前三个交易时间段实际市场平均价格。
限制条件还包括当前储能的能量单价、当前市场的利润空间、价格与近期交易时段和历史同期交易时段的对比、电池健康和容量、场站性能、电池当前 SOC等。
在本说明书中，对历史和未来的市场价格分别进行分析和预测，从而刻画出不同的价格区域在不同的连续价格区域中实行有侧重点的网格交易。根据当时资源的各个情况，确定充放行为和目标量。整体算法更加快速有效，并且适合价格波动剧烈的短期套利市场。
图2为本说明书实施例提供的一种虚拟电厂的电力市场交易装置的原理示意图，该装置可以包括：
获取模块10，用于获取当前交易时段实际市场价格、下一个交易时段预测市场价格；
结合模块20，用于结合所述当前交易时段实际市场价格和所述下一个交易时段预测市场价格，得到预测市场价格振幅；
第一判断模块30，用于判断所述预测市场价格振幅是否达到预设振幅；
第二判断模块40，用于当所述预测市场价格振幅达到所述预设振幅时，判断所述预测市场价格振幅分类；
确定模块50，用于基于所述预测市场价格振幅分类及预测价格类型，确定充放电市场交易策略。
可选的，所述预测价格类型的确定，包括：
获取历史交易日实际市场价格、当前交易日预测市场价格；
结合所述历史交易日实际市场价格和所述当前交易日预测市场价格，确定预测价格类型。
可选的，还包括：
当所述预测市场价格振幅未达到预设振幅时，返回结合所述当前交易时段实际市场价格和所述下一个交易时段预测市场价格，直至所述预测市场价格振幅达到所述预设振幅。
可选的，所述确定模块50，包括：
所述预测市场价格振幅分类包括上涨振幅和下降振幅；
当所述预测市场价格振幅分类为上涨振幅时，确定所述充放电市场交易策略为放电策略；
当所述预测市场价格振幅分类为下降振幅时，确定所述充放电市场交易策略为充电策略；
基于所述放电策略/所述充电策略及预测价格类型，确定充放电市场交易策略。
可选的，所述基于所述放电策略/所述充电策略及预测价格类型，确定充放电市场交易策略，包括：
所述预测价格类型包括高价区、低价区和平常区；
基于所述放电策略/所述充电策略及所述高价区/所述低价区/所述平常区，并结合对应的限制条件，确定所述充放电市场交易策略，所述充放电市场交易策略包括高价区放电策略、低价区放电策略、平常区放电策略、高价区充电策略、低价区充电策略、平常区充电策略。
本发明实施例的装置的功能已经在上述的方法实施例中进行了描述，故本实施例的描述中未详尽之处，可以参见前述实施例中的相关说明，在此不做赘述。
基于同一发明构思，本说明书实施例还提供一种电子设备。
下面描述本发明的电子设备实施例，该电子设备可以视为对于上述本发明的方法和装置实施例的具体实体实施方式。对于本发明电子设备实施例中描述的细节，应视为对于上述方法或装置实施例的补充；对于在本发明电子设备实施例中未披露的细节，可以参照上述方法或装置实施例来实现。
图3为本说明书实施例提供的一种电子设备的结构示意图。下面参照图3来描述根据本发明该实施例的电子设备300。图3显示的电子设备300仅仅是一个示例，不应对本发明实施例的功能和使用范围带来任何限制。
如图3所示，电子设备300以通用计算设备的形式表现。电子设备300的组件可以包括但不限于：至少一个处理单元310、至少一个存储单元320、连接 不同系统组件(包括存储单元320和处理单元310)的总线330、显示单元340等。
其中，所述存储单元存储有程序代码，所述程序代码可以被所述处理单元310执行，使得所述处理单元310执行本说明书上述处理方法部分中描述的根据本发明各种示例性实施方式的步骤。例如，所述处理单元310可以执行如图1所示的步骤。
所述存储单元320可以包括易失性存储单元形式的可读介质，例如随机存取存储单元(RAM)3201和/或高速缓存存储单元3202，还可以进一步包括只读存储单元(ROM)3203。
所述存储单元320还可以包括具有一组(至少一个)程序模块3205的程序/实用工具3204，这样的程序模块3205包括但不限于：操作系统、一个或者多个应用程序、其它程序模块以及程序数据，这些示例中的每一个或某种组合中可能包括网络环境的实现。
总线330可以为表示几类总线结构中的一种或多种，包括存储单元总线或者存储单元控制器、外围总线、图形加速端口、处理单元或者使用多种总线结构中的任意总线结构的局域总线。
电子设备300也可以与一个或多个外部设备400(例如键盘、指向设备、蓝牙设备等)通信，还可与一个或者多个使得观众能与该电子设备300交互的设备通信，和/或与使得该电子设备300能与一个或多个其它计算设备进行通信的任何设备(例如路由器、调制解调器等等)通信。这种通信可以通过输入/输出(I/O)接口350进行。并且，电子设备300还可以通过网络适配器360与一个或者多个网络(例如局域网(LAN)，广域网(WAN)和/或公共网络，例如因特网)通信。网络适配器360可以通过总线330与电子设备300的其它模块通信。应当明白，尽管图3中未示出，可以结合电子设备300使用其它硬件和/或软件模块，包括但不限于：微代码、设备驱动器、冗余处理单元、外部磁盘驱动阵列、RAID系统、磁带驱动器以及数据备份存储系统等。
通过以上的实施方式的描述，本领域的技术人员易于理解，本发明描述的示例性实施例可以通过软件实现，也可以通过软件结合必要的硬件的方式来实现。因此，根据本发明实施方式的技术方案可以以软件产品的形式体现出来，该软件产品可以存储在一个计算机可读的存储介质(可以是CD-ROM，U盘，移动硬盘等)中或网络上，包括若干指令以使得一台计算设备(可以是个人计算机、服务器、或者网络设备等)执行根据本发明的上述方法。当所述计算机程序被一个数据处理设备执行时，使得该计算机可读介质能够实现本发明的上述方法，即：如图1所示的方法。
图4为本说明书实施例提供的一种计算机可读介质的原理示意图。
实现图1所示方法的计算机程序可以存储于一个或多个计算机可读介质上。计算机可读介质可以是可读信号介质或者可读存储介质。可读存储介质例如可以为但不限于电、磁、光、电磁、红外线、或半导体的系统、装置或器件，或者任意以上的组合。可读存储介质的更具体的例子(非穷举的列表)包括：具有一个或多个导线的电连接、便携式盘、硬盘、随机存取存储器(RAM)、只读存储器(ROM)、可擦式可编程只读存储器(EPROM或闪存)、光纤、便携式紧凑盘只读存储器(CD-ROM)、光存储器件、磁存储器件、或者上述的任意合适的组合。
所述计算机可读存储介质可以包括在基带中或者作为载波一部分传播的数据信号，其中承载了可读程序代码。这种传播的数据信号可以采用多种形式，包括但不限于电磁信号、光信号或上述的任意合适的组合。可读存储介质还可以是可读存储介质以外的任何可读介质，该可读介质可以发送、传播或者传输用于由指令执行系统、装置或者器件使用或者与其结合使用的程序。可读存储介质上包含的程序代码可以用任何适当的介质传输，包括但不限于无线、有线、光缆、RF等等，或者上述的任意合适的组合。
可以以一种或多种程序设计语言的任意组合来编写用于执行本发明操作的程序代码，所述程序设计语言包括面向对象的程序设计语言—诸如Java、C++ 等，还包括常规的过程式程序设计语言—诸如“C”语言或类似的程序设计语言。程序代码可以完全地在观众计算设备上执行、部分地在观众设备上执行、作为一个独立的软件包执行、部分在观众计算设备上部分在远程计算设备上执行、或者完全在远程计算设备或服务器上执行。在涉及远程计算设备的情形中，远程计算设备可以通过任意种类的网络，包括局域网(LAN)或广域网(WAN)，连接到观众计算设备，或者，可以连接到外部计算设备(例如利用因特网服务提供商来通过因特网连接)。
综上所述，本发明可以以硬件实现，或者以在一个或者多个处理器上运行的软件模块实现，或者以它们的组合实现。本领域的技术人员应当理解，可以在实践中使用微处理器或者数字信号处理器(DSP)等通用数据处理设备来实现根据本发明实施例中的一些或者全部部件的一些或者全部功能。本发明还可以实现为用于执行这里所描述的方法的一部分或者全部的设备或者装置程序(例如，计算机程序和计算机程序产品)。这样的实现本发明的程序可以存储在计算机可读介质上，或者可以具有一个或者多个信号的形式。这样的信号可以从因特网网站上下载得到，或者在载体信号上提供，或者以任何其他形式提供。
以上所述的具体实施例，对本发明的目的、技术方案和有益效果进行了进一步详细说明，应理解的是，本发明不与任何特定计算机、虚拟装置或者电子设备固有相关，各种通用装置也可以实现本发明。以上所述仅为本发明的具体实施例而已，并不用于限制本发明，凡在本发明的精神和原则之内，所做的任何修改、等同替换、改进等，均应包含在本发明的保护范围之内。
本说明书中的各个实施例均采用递进的方式描述，各个实施例之间相同相似的部分互相参见即可，每个实施例重点说明的都是与其他实施例的不同之处。
以上所述仅为本申请的实施例而已，并不用于限制本申请。对于本领域技术人员来说，本申请可以有各种更改和变化。凡在本申请的精神和原理之内所作的任何修改、等同替换、改进等，均应包含在本申请的权利要求范围之内。

Claims (10)

  1. 一种虚拟电厂的电力市场交易方法，其特征在于，包括：
    获取当前交易时段实际市场价格、下一个交易时段预测市场价格；
    结合所述当前交易时段实际市场价格和所述下一个交易时段预测市场价格，得到预测市场价格振幅；
    判断所述预测市场价格振幅是否达到预设振幅；
    当所述预测市场价格振幅达到所述预设振幅时，判断所述预测市场价格振幅分类；
    基于所述预测市场价格振幅分类及预测价格类型，确定充放电市场交易策略。
  2. 如权利要求1所述的虚拟电厂的电力市场交易方法，其特征在于，所述预测价格类型的确定，包括：
    获取历史交易日实际市场价格、当前交易日预测市场价格；
    结合所述历史交易日实际市场价格和所述当前交易日预测市场价格，确定预测价格类型。
  3. 如权利要求2所述的虚拟电厂的电力市场交易方法，其特征在于，还包括：
    当所述预测市场价格振幅未达到预设振幅时，返回结合所述当前交易时段实际市场价格和所述下一个交易时段预测市场价格，直至所述预测市场价格振幅达到所述预设振幅。
  4. 如权利要求3所述的虚拟电厂的电力市场交易方法，其特征在于，所述基于所述预测市场价格振幅分类及预测价格类型，确定充放电市场交易策略，包括：
    所述预测市场价格振幅分类包括上涨振幅和下降振幅；
    当所述预测市场价格振幅分类为上涨振幅时，确定所述充放电市场交易策略为放电策略；
    当所述预测市场价格振幅分类为下降振幅时，确定所述充放电市场交易策略为充电策略；
    基于所述放电策略/所述充电策略及预测价格类型，确定充放电市场交易策略。
  5. 如权利要求4所述的虚拟电厂的电力市场交易方法，其特征在于，所述基于所述放电策略/所述充电策略及预测价格类型，确定充放电市场交易策略，包括：
    所述预测价格类型包括高价区、低价区和平常区；
    基于所述放电策略/所述充电策略及所述高价区/所述低价区/所述平常区，并结合对应的限制条件，确定所述充放电市场交易策略，所述充放电市场交易策略包括高价区放电策略、低价区放电策略、平常区放电策略、高价区充电策略、低价区充电策略、平常区充电策略。
  6. 一种虚拟电厂的电力市场交易装置，其特征在于，包括：
    获取模块，用于获取当前交易时段实际市场价格、下一个交易时段预测市场价格；
    结合模块，用于结合所述当前交易时段实际市场价格和所述下一个交易时段预测市场价格，得到预测市场价格振幅；
    第一判断模块，用于判断所述预测市场价格振幅是否达到预设振幅；
    第二判断模块，用于当所述预测市场价格振幅达到所述预设振幅时，判断所述预测市场价格振幅分类；
    确定模块，用于基于所述预测市场价格振幅分类及预测价格类型，确定充放电市场交易策略。
  7. 如权利要求6所述的虚拟电厂的电力市场交易装置，其特征在于，所述预测价格类型的确定，包括：
    获取历史交易日实际市场价格、当前交易日预测市场价格；
    结合所述历史交易日实际市场价格和所述当前交易日预测市场价格，确定 预测价格类型。
  8. 如权利要求7所述的虚拟电厂的电力市场交易装置，其特征在于，还包括：
    当所述预测市场价格振幅未达到预设振幅时，返回结合所述当前交易时段实际市场价格和所述下一个交易时段预测市场价格，直至所述预测市场价格振幅达到所述预设振幅。
  9. 一种电子设备，其中，该电子设备包括：
    处理器；以及，
    存储计算机可执行指令的存储器，所述可执行指令在被执行时使所述处理器执行根据权利要求1-5中任一项所述的方法。
  10. 一种计算机可读存储介质，其中，所述计算机可读存储介质存储一个或多个程序，所述一个或多个程序当被处理器执行时，实现权利要求1-5中任一项所述的方法。
PCT/CN2023/106887 2022-11-04 2023-07-12 一种虚拟电厂的电力市场交易方法、装置及电子设备 WO2024093353A1 (zh)

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