CN113285475A - 一种基于边云协同计算的多储能联合优化主动调控方法 - Google Patents

一种基于边云协同计算的多储能联合优化主动调控方法 Download PDF

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CN113285475A
CN113285475A CN202110683729.3A CN202110683729A CN113285475A CN 113285475 A CN113285475 A CN 113285475A CN 202110683729 A CN202110683729 A CN 202110683729A CN 113285475 A CN113285475 A CN 113285475A
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杨湛晔
张虎润
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Hainan Green Energy And Environmental Engineering Institute Of Technology
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
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    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28—Arrangements for balancing of the load in a network by storage of energy
    • H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
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    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
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    • H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
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    • H02J13/00006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
    • H02J13/00016—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment using a wired telecommunication network or a data transmission bus
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    • H02J13/00006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
    • H02J13/00022—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment using wireless data transmission
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    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20—The dispersed energy generation being of renewable origin
    • H02J2300/22—The renewable source being solar energy
    • H02J2300/24—The renewable source being solar energy of photovoltaic origin
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    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20—The dispersed energy generation being of renewable origin
    • H02J2300/28—The renewable source being wind energy
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    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
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    • Y02E10/56—Power conversion systems, e.g. maximum power point trackers
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    • Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
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    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/14—Energy storage units
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    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
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    • Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
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    • Y04S40/124—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment using wired telecommunication networks or data transmission busses
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    • Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
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    • Y04S40/126—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment using wireless data transmission

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  • Charge And Discharge Circuits For Batteries Or The Like (AREA)
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Abstract

本发明公开了一种基于边云协同计算的多储能联合优化主动调控方法，涉及能源调控技术领域。本发明针对分布式多储能协调，通过边缘控制模块承上启下，构建云边协同的三层控制***，包含云端经济性调控应用，边缘侧协调控制应用，端侧紧急控制应用，分别部署在云端服务器、边缘计算设备和端侧储能充放能控制器。本发明利用边缘计算设备的边缘侧储能应用连接云端储能优化调度模块和管理端侧储能充放能控制设备，通过采集***运行参数及不同储能充能特性及实时充放能数据，统筹安排各个储能的充能放能幅值、周期、频率等数据，最终实现多个储能最优调度，在保障***充放能需求的情况下，能够兼顾储能寿命。

Description

一种基于边云协同计算的多储能联合优化主动调控方法
技术领域
本发明涉及能源调控技术领域，特别是涉及一种基于边云协同计算的多储能联合优化主动调控方法。
背景技术
随着碳达峰、碳中和上升到国家战略层面，新型电力***对清洁能源如风光等要求增加，由于风力、光照等可再生能源的间歇性、随机性，大规模可再生能源并网发电加大了电网由于功率不平衡造成的风险，电力储能技术在电力***中增加存储环节，使得实时平衡的“刚性”电力***变得更加“柔性”，特别是能够平抑大规模可再生能源接入电网带来的波动性，提高电网运行安全性、经济性和灵活性，在能源互联网中配置储能可支撑高比例可再生能源发电接入电网，提高多元能源***的灵活性和可调性，以及能源交易的自由度；
作为一种能量/功率缓冲设备，电力储能可以有效平衡发电和负荷，但由于需要长时间平衡发电与负荷，若不加合理控制，储能可能陷入频繁充放甚至深度放电，影响储能设备的使用寿命；在分布式能源运行费用中考虑储能设备的寿命损耗费用，以平衡分布式能源运行经济性和储能的设备寿命，可保证全电的全局经济性；
一般而言，单体电池的容量较小，很难满足大容量的工业应用，储能设备均由单体电池串并联构成，由于单体电池不可能具有完全统一的电气特性，而这会极大影响储能***的寿命，因此有必要在储能***中考虑单体电池性能差异对储能***寿命造成影响，储能***寿命决定于最坏的单体电池损耗，而由于运行环境的不确定性，最坏单体电池损耗很难精确预测，因此考虑单体电池特性差异会给储能***的寿命评估带来一定的随机性；
锂离子电池寿命的准确预测目前仍较为困难，其主要原因是影响因素较多，目前，在锂离子电池的运行过程中，工作温度，放电深度和电流是影响其寿命的主要因素，另一方面锂离子电池寿命仍受到电池内部工作温度影响，其主要与放电电流大小有关，考虑放电深度和放电电流作为影响锂离子电池寿命的因素，影响储能寿命的主要因素充放电深度、充放电电流，影响多个储能寿命的主要因素有充放电一致性；
云计算(cloud computing)是分布式计算的一种，通过网络将巨大的数据计算处理程序分解成无数个小程序，然后通过多部服务器组成的***进行并行处理和分析，可以在很短的时间内(几秒种)完成对数以万计的数据的处理，边缘计算，是指在靠近物或数据源头的一侧，采用网络、计算、存储、应用核心能力为一体的开放平台，就近提供最近端服务，其应用程序在边缘侧发起，产生更快的网络服务响应，满足行业在实时业务、应用智能、安全与隐私保护等方面的基本需求，边缘计算处于物理实体和工业连接之间，或处于物理实体的顶端，而云端计算，仍然可以访问边缘计算的历史数据，传统自动控制基于信号的控制，而边缘计算则可以理解为“基于信息的控制”，更侧重指“策略”、“规划”，因此，它更多聚焦于在“调度、优化、路径”；
基于此，针对分布式能源比例大量增加的情况，结合电力***稳定的基本要求和储能***经济运行的要求，我们提出了利用基于边缘计算实现边云协同的多储能主动调控的方法。
发明内容
本发明的目基于边云协同计算的储能***三级协调控制***通过调节不同储能的充放能方案实现能量功率实时平衡，同时考虑储能设备寿命及能源整体效益最大化的方法和装置，以解决上述背景中提出的问题。
为解决上述技术问题，本发明是通过以下技术方案实现的：
本发明为一种基于边云协同计算的多储能联合优化主动调控方法，针对分布式多储能协调，通过边缘控制模块承上启下，构建云边协同的三层控制***，包含云端经济性调控应用，边缘侧协调控制应用，端侧紧急控制应用，分别部署在云端服务器、边缘计算设备和端侧储能充放能控制器，所述基于边云协同计算的多储能联合优化主动调控方法，包括以下步骤：
步骤一：利用云端计算模块考虑整体储能的经济性，包含减少无序充放能和不合理充放能情况；
步骤二：利用云端***通过边缘计算设备对多个储能设备进行数据采集和运行监控；
步骤三：通过边缘计算模块着眼于局部多个储能之间的快速紧急控制，当能量管理***计算出***能源优化盈余或者缺口，快速制定并下发控制计划，弥补***能源波动，实现分布式能源的发用储平衡；
步骤四：利用端侧储能控制作为执行单元，其具备一定的判断能力和紧急策略能力，在上级通讯中断或者命令有误的情况，退出储能出力或者执行预设计策略；
步骤五：基于云边协同计算的多储能主动协调控制包括有调节控制手段有控制储能充放能、充放能时间、充放能功率，充放能变化频率，充放能次数；
步骤六：针对共同的储能调节目标，利用三层优化控制模块各自根据获得数据进行计算，结合各自掌握的储能实时储存能量，实时充放能功率，充放能次数等数据，针对每个储能***，制定出三种控制策略；
步骤七：边缘计算控制模块将自身策略和云端计算数据进行融合，最终按照预设值的分配方式影响储能实际出力，以此来实现多个储能功率出力的一致性；
步骤八：完成基于边云协同计算的多储能联合优化主动调控。
优选地，所述储能边缘协调控制器是边云协同储能协调控制***的核心设备，其内部结构利于实现云端***对设备侧的管理，所述储能边缘协调控制器部署在边缘计算网关提供容器平台上。
优选地，所述边缘计算模块实现底层数据采集应用及多个储能协调应用，还可提供网络功能和管理功能，实现远程升级软件，边缘计算设备硬件接口类型多，方便储能端侧控制器的数据多类型(modbus 485，IEC104等)接入，也方便通过与互联网、本地局域网的多种通讯方式与云端计算模块进行信息交互，实现端侧设备的信息传递，并采用分布式智能运算服务实现局域就地决策，全面实现储能设备的在线管理。
优选地，所述云端储能管理***实现分布式储能设备终端管理、储能设备在线监测、资产管理、大数据和高级应用业务功能，通过开放接口，可实现信息共享，为应用提供信息处理和计算通用基础服务资源调用接口，实现海量设备管理、联接管理、计算管理和应用管理，所述云端储能控制计算模块应用针对所辖所有储能的运行情况，开展全域的功率平衡和充放能次数平衡。
优选地，所述边缘储能计算模块靠近储能设备和储能数据源头的网络边缘侧，融合网络、计算、存储及应用核心能力的开放平台，同时以容器技术为支撑就近提供边缘智能计算服务，满足分布式能源数字化在敏捷联接、实时业务、数据优化和应用智能方面的需求，边缘储能控制模块应用针对所辖储能设备的运行情况，开展局域的功率平衡和充放能次数平衡。
优选地，所述端侧储能控制模块，采用智能化核心通信模块，实现智能终端设备与边缘计算网关的通信，端侧控制模块针对云端计算数据和边缘侧计算数据进行协调，然后按照不同工况执行或确定当时设备的充放能策略。
优选地，所述云端与边侧的数据通信，包括以太通信网络和无线通信网络，本地通信网络主要用于终端侧与边侧的通信。
本发明具有以下有益效果：
一、本发明利用边缘计算设备的边缘侧储能应用连接云端储能优化调度模块和管理端侧储能充放能控制设备，通过采集***运行参数及不同储能充能特性及实时充放能数据，统筹安排各个储能的充能放能幅值、周期、频率等数据，最终实现多个储能最优调度，在保障***充放能需求的情况下，能够兼顾储能寿命。
二、本发明方法能够在***中的储能从***层面，综合考虑多个储能之间的相互影响，实现储能的联动控制，提高储能设备的利用效率，从而提高分布式能源整体利用效率。
当然，实施本发明的任一产品并不一定需要同时达到以上所述的所有优点。
附图说明
为了更清楚地说明本发明实施例的技术方案，下面将对实施例描述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发明的一些实施例，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为本发明基于边云协同计算的多储能联合优化主动调控方法流程图；
图2为本发明储能边缘计算控制模块的结构图；
图3为本发明基于云计算、边缘计算三层整体***结构图；
图4为本发明云计算，边缘计算，端侧协调优化调节储能的示意图；
图5为本发明边缘侧考虑所辖储能已充放能次数对储能进行优化调度平衡的流程图；
图6为本发明云端模块对边缘侧考虑储能已充放能次数对储能进行优化调度平衡的流程图。
具体实施方式
下面将结合本发明实施例中的附图，对本发明实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本发明一部分实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其它实施例，都属于本发明保护的范围。
请参阅图1所示：本发明为一种基于边云协同计算的多储能联合优化主动调控方法，针对分布式多储能协调，通过边缘控制模块承上启下，构建云边协同的三层控制***，包含云端经济性调控应用，边缘侧协调控制应用，端侧紧急控制应用，分别部署在云端服务器、边缘计算设备和端侧储能充放能控制器，基于边云协同计算的多储能联合优化主动调控方法，包括以下步骤：
步骤一：利用云端计算模块考虑整体储能的经济性，包含减少无序充放能和不合理充放能情况；
步骤二：利用云端***通过边缘计算设备对多个储能设备进行数据采集和运行监控；
步骤三：通过边缘计算模块着眼于局部多个储能之间的快速紧急控制，当能量管理***计算出***能源优化盈余或者缺口，快速制定并下发控制计划(主要是通过边缘计算设备调节储能的当前运行模式)，弥补***能源波动，实现分布式能源的发用储平衡；
步骤四：利用端侧储能控制作为执行单元，其具备一定的判断能力和紧急策略能力，在上级通讯中断或者命令有误的情况，退出储能出力或者执行预设计策略；
步骤五：基于云边协同计算的多储能主动协调控制包括有调节控制手段有控制储能充放能、充放能时间、充放能功率，充放能变化频率，充放能次数；
步骤六：针对共同的储能调节目标，利用三层优化控制模块各自根据获得数据进行计算，结合各自掌握的储能实时储存能量，实时充放能功率，充放能次数等数据，针对每个储能***，制定出三种控制策略；
步骤七：边缘计算控制模块将自身策略和云端计算数据进行融合，最终按照预设值的分配方式影响储能实际出力，以此来实现多个储能功率出力的一致性，也能兼顾储能次数的充放能一致性，从而储能实现最大化整体储能的寿命，和整个分布式能源***的经济性；
步骤八：完成基于边云协同计算的多储能联合优化主动调控。
其中，储能边缘协调控制器是边云协同储能协调控制***的核心设备，其内部结构利于实现云端***对设备侧的管理，储能边缘协调控制器部署在边缘计算网关提供容器平台上。
其中，如图2所示：边缘计算模块实现底层数据采集应用及多个储能协调应用，还可提供网络功能和管理功能，实现远程升级软件，边缘计算设备硬件接口类型多，方便储能端侧控制器的数据多类型(modbus 485，IEC104等)接入，也方便通过与互联网、本地局域网的多种通讯方式与云端计算模块进行信息交互，实现端侧设备的信息传递，并采用分布式智能运算服务实现局域就地决策，全面实现储能设备的在线管理。
其中，云端储能管理***实现分布式储能设备终端管理、储能设备在线监测、资产管理、大数据和高级应用业务功能，通过开放接口，可实现信息共享，为应用提供信息处理和计算通用基础服务资源调用接口，实现海量设备管理、联接管理、计算管理和应用管理，云端储能控制计算模块应用针对所辖所有储能的运行情况，开展全域的功率平衡和充放能次数平衡。
其中，如图3所示：边缘储能计算模块靠近储能设备和储能数据源头的网络边缘侧，融合网络、计算、存储及应用核心能力的开放平台，同时以容器技术为支撑就近提供边缘智能计算服务，满足分布式能源数字化在敏捷联接、实时业务、数据优化和应用智能方面的需求，边缘储能控制模块应用针对所辖储能设备的运行情况，开展局域的功率平衡和充放能次数平衡。
其中，端侧储能控制模块，采用智能化核心通信模块，实现智能终端设备与边缘计算网关的通信，端侧控制模块针对云端计算数据和边缘侧计算数据进行协调，然后按照不同工况执行或确定当时设备的充放能策略。
其中，云端与边侧的数据通信，包括以太通信网络和无线通信网络，本地通信网络主要用于终端侧与边侧的通信。
本方案中，如图4，所示三层储能控制器均在边云协同储能优化***中发挥作用，其功率分配计算方法如下：
1)各级储能计算模块结合各自所辖范围的功率缺额，计算各个节点的功率盈缺，根据电力***安全稳定及经济运行的要求，计算出储能需要调节的功率值Pout；
2)储能协调计算调动所有储能共同实现Pout＝P1out+P2out+…+Pnout
目前电力***中对储能***的整体控制模式有启停控制、充放能控制、运行模式切换控制等；本发明所描述主动调控多是考虑区域整体的***级功率充放能控制模式。
3)云端计算模块计算出力值，然后计算参数值，参数值通过计算下发边缘侧执行；边缘侧按照预设参数实时计算出力值，下发给储能控制器；然后结合云端下发参数值及实时修正储能比例分配。如图4所示，边云协同储能控制***根据所辖范围和调节优化的目的不同，分别计算储能出力分配。
针对每一个特定的储能设备，其出口的功率目标值为表述为：
P1out＝k1云P1云out+k1边P1边out+k1端P1端out
Pnout＝kn云Pn云out+kn边Pn边out+kn端Pn端out
云端计算模块通过k云对边缘计算模块进行参数调整；
边缘侧计算模块通过k边对端侧储能进行参数调整；
4)储能充放能能力的计算方法
各储能均可结合储能自身特性、额定功率、实时出力等条件，实时计算储能的充放能能力值SN；
定义储能出力正为放能、负为充能，额定功率为S1，当前出力为Sin，储能的最大放能能力和最大充能能力分别为
Figure BDA0003123503110000101
参考储能的实时能量状态(state ofcharge，SOC)，在储能允许调节的范围内执行策略；
当存在多个储能时，可按实时计算的充放能能力，实现快速功率分配，即
Figure BDA0003123503110000102
式中：P为所有储能需共同承担主动补偿控制的有功功率；Px为第x台储能需分担的有功功率值；Sx为第x台储能的充放能能力，计算***所有储能的充放能能力值，然后根据***整体需求进行功率分配；
5)对储能寿命及储能剩余充放能次数的计算方法
定义储能充放能次数，额定充放能次数为Fn，当前充放能次数为Fin，储能的剩余充放能次数为
F允许充放能次数＝Fn-Fin
因此，在边缘模块计算的范围内：
Figure BDA0003123503110000111
其中n表示该n个端侧储能模块。
在云端计算的范围内：
Figure BDA0003123503110000112
其中n表示该n个边缘侧侧储能模块。
6)如图5，边缘计算模块综合考虑充能充放能能力和储能充放能次数，对多个储能进行功率优化的流程；
当存在多个储能时，可首先计算多个储能所需调节功率目标；
然后对多个储能进行充放能能力筛查，确定具备充放能能力的储能作为备用；
然后计算备用储能的剩余充放能次数，选择充放能次数较多的储能设备优先执行储能调节策略；
如果功率仍无法平衡，则可继续策略，在剩余储能中优先选择允许充放能次数较多的储能设备进行充放能控制，直至***功率平衡。
7)如图6，云端计算模块综合考虑边缘侧整体充能充放能能力和储能充放能次数，对多个边缘侧储能整体进行功率优化的流程。
当存在多个储能边缘分区时，可首先计算***所需调节功率目标；
然后对多个储能边缘分区进行充放能能力筛查，确定具备充放能能力的储能边缘分区作为备用；
然后计算备用储能边缘分区的剩余充放能次数，选择充放能次数较多的储能边缘分区设备优先执行储能调节策略；
如果功率仍无法平衡，则可继续策略，在剩余储能边缘分区中优先选择允许充放能次数较多的储能边缘分区进行充放能控制，直至***功率平衡。
在本说明书的描述中，参考术语“一个实施例”、“示例”、“具体示例”等的描述意指结合该实施例或示例描述的具体特征、结构、材料或者特点包含于本发明的至少一个实施例或示例中。在本说明书中，对上述术语的示意性表述不一定指的是相同的实施例或示例。而且，描述的具体特征、结构、材料或者特点可以在任何的一个或多个实施例或示例中以合适的方式结合。
以上公开的本发明优选实施例只是用于帮助阐述本发明。优选实施例并没有详尽叙述所有的细节，也不限制该发明仅为所述的具体实施方式。显然，根据本说明书的内容，可作很多的修改和变化。本说明书选取并具体描述这些实施例，是为了更好地解释本发明的原理和实际应用，从而使所属技术领域技术人员能很好地理解和利用本发明。本发明仅受权利要求书及其全部范围和等效物的限制。

Claims (7)

1.一种基于边云协同计算的多储能联合优化主动调控方法，其特征在于，针对分布式多储能协调，通过边缘控制模块承上启下，构建云边协同的三层控制***，包含云端经济性调控应用，边缘侧协调控制应用，端侧紧急控制应用，分别部署在云端服务器、边缘计算设备和端侧储能充放能控制器，所述基于边云协同计算的多储能联合优化主动调控方法，包括以下步骤：
步骤一：利用云端计算模块考虑整体储能的经济性，包含减少无序充放能和不合理充放能情况；
步骤二：利用云端***通过边缘计算设备对多个储能设备进行数据采集和运行监控；
步骤三：通过边缘计算模块着眼于局部多个储能之间的快速紧急控制，当能量管理***计算出***能源优化盈余或者缺口，快速制定并下发控制计划，弥补***能源波动，实现分布式能源的发用储平衡；
步骤四：利用端侧储能控制作为执行单元，其具备一定的判断能力和紧急策略能力，在上级通讯中断或者命令有误的情况，退出储能出力或者执行预设计策略；
步骤五：基于云边协同计算的多储能主动协调控制包括有调节控制手段有控制储能充放能、充放能时间、充放能功率，充放能变化频率，充放能次数；
步骤六：针对共同的储能调节目标，利用三层优化控制模块各自根据获得数据进行计算，结合各自掌握的储能实时储存能量，实时充放能功率，充放能次数等数据，针对每个储能***，制定出三种控制策略；
步骤七：边缘计算控制模块将自身策略和云端计算数据进行融合，最终按照预设值的分配方式影响储能实际出力，以此来实现多个储能功率出力的一致性；
步骤八：完成基于边云协同计算的多储能联合优化主动调控。
2.根据权利要求1所述的一种基于边云协同计算的多储能联合优化主动调控方法，其特征在于，所述储能边缘协调控制器是边云协同储能协调控制***的核心设备，其内部结构利于实现云端***对设备侧的管理，所述储能边缘协调控制器部署在边缘计算网关提供容器平台上。
3.根据权利要求1所述的一种基于边云协同计算的多储能联合优化主动调控方法，其特征在于，所述边缘计算模块实现底层数据采集应用及多个储能协调应用，还可提供网络功能和管理功能，实现远程升级软件，边缘计算设备硬件接口类型多，方便储能端侧控制器的数据多类型（modbus 485，IEC104等）接入，也方便通过与互联网、本地局域网的多种通讯方式与云端计算模块进行信息交互，实现端侧设备的信息传递，并采用分布式智能运算服务实现局域就地决策，全面实现储能设备的在线管理。
4.根据权利要求1所述的一种基于边云协同计算的多储能联合优化主动调控方法，其特征在于，所述云端储能管理***实现分布式储能设备终端管理、储能设备在线监测、资产管理、大数据和高级应用业务功能，通过开放接口，可实现信息共享，为应用提供信息处理和计算通用基础服务资源调用接口，实现海量设备管理、联接管理、计算管理和应用管理，所述云端储能控制计算模块应用针对所辖所有储能的运行情况，开展全域的功率平衡和充放能次数平衡。
5.根据权利要求1所述的一种基于边云协同计算的多储能联合优化主动调控方法，其特征在于，所述边缘储能计算模块靠近储能设备和储能数据源头的网络边缘侧，融合网络、计算、存储及应用核心能力的开放平台，同时以容器技术为支撑就近提供边缘智能计算服务，满足分布式能源数字化在敏捷联接、实时业务、数据优化和应用智能方面的需求，边缘储能控制模块应用针对所辖储能设备的运行情况，开展局域的功率平衡和充放能次数平衡。
6.根据权利要求1所述的一种基于边云协同计算的多储能联合优化主动调控方法，其特征在于，所述端侧储能控制模块，采用智能化核心通信模块，实现智能终端设备与边缘计算网关的通信，端侧控制模块针对云端计算数据和边缘侧计算数据进行协调，然后按照不同工况执行或确定当时设备的充放能策略。
7.根据权利要求1所述的一种基于边云协同计算的多储能联合优化主动调控方法，其特征在于，所述云端与边侧的数据通信，包括以太通信网络和无线通信网络，本地通信网络主要用于终端侧与边侧的通信。
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