CN110490374A - 一种基于虚拟储能技术的峰谷时段计算方法 - Google Patents

一种基于虚拟储能技术的峰谷时段计算方法 Download PDF

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CN110490374A
CN110490374A CN201910710085.5A CN201910710085A CN110490374A CN 110490374 A CN110490374 A CN 110490374A CN 201910710085 A CN201910710085 A CN 201910710085A CN 110490374 A CN110490374 A CN 110490374A
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於砚福
张思涵
肖文瑞
陶静
王冬阳
陈靖
赵传伟
陈浩
李建国
宼振江
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State Grid Tianjin Electric Power Co Ltd
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Abstract

本发明公开了一种基于虚拟储能技术的峰谷时段计算方法,由电力用户智能电表获取用户信息及历史负荷数据;计算电力用户年用电负荷在24个时段分布权重;计算电力用户月用电负荷在24个时段分布权重;计算电力用户周用电负荷在24个时段分布权重;根据电力用户年、月、周用电负荷在24个时段分布权重,预测电力用户日24个时段尖峰平谷用电负荷分布;将电力用户日24个尖锋谷平用电负荷预测时段作为虚拟储能控制技术的用电参数,对用电负荷进行错峰控制。本发明实现了电力用户峰谷时段精准预测,利用虚拟储能控制技术,可有效降低电网峰段用电量,提高电网谷段用电量,使电网削峰填谷效率最大化。

Description

一种基于虚拟储能技术的峰谷时段计算方法
技术领域
本发明属于电力电网技术领域,尤其涉及一种基于虚拟储能技术的峰谷时段计算的方法。
背景技术
目前公知的用电负荷峰谷时段是电力系统根据总负荷曲线的变化规律总结设定的,用电负荷峰谷时段无法做的精准,对各区域电网误差是难以避免的,造成区域削峰填谷效果针对性较差。
需求侧管理:在政府法规和政策的支持下,采取有效的激励和引导措施以及适宜的运作方式,通过发电公司、电网公司、能源服务公司、社会中介组织、产品供应商、电力用户等共同协力,提高终端用电效率和改变用电方式,在满足同样用电功能的同时减少电量消耗和电力需求,达到节约资源和保护环境,实现社会效益最好、各方受益、最低成本能源服务所进行的管理活动。
削峰填谷:把一部分高峰负荷挪到低谷时段,从而减少电网运行的峰谷负荷差,实现了节约能源的目的。
虚拟储能技术:是一种基于电力需求侧管理和峰谷电价策略,通过智能电网实现的提高用电设备谷段用电量,减少尖、峰段用电量的负荷能量管理技术。包括错峰关断、错峰调压、错峰调参三种控制方式。
发明内容
本发明实施例的目的在于提供一种基于虚拟储能技术的峰谷时段计算的方法,旨在解决目前公知的用电负荷峰谷时段是电力系统根据总负荷曲线的变化规律总结设定的,用电负荷峰谷时段无法做的精准,对各区域电网误差是难以避免的,造成区域削峰填谷效果针对性较差的问题。
本发明实施例是这样实现的,一种基于虚拟储能技术的峰谷时段计算方法,该基于虚拟储能技术的峰谷时段计算方法包括:
步骤一,由电力用户智能电表获取用户信息及历史负荷数据;
步骤二,计算电力用户年用电负荷在24个时段分布权重,其计算公式为:
步骤三,计算电力用户月用电负荷在24个时段分布权重,其计算公式为:
步骤四,计算电力用户周用电负荷在24个时段分布权重,其计算公式为:
步骤五,根据电力用户年、月、周用电负荷在24个时段分布权重,预测电力用户日24个时段尖峰平谷用电负荷分布;
步骤六,将电力用户日24个尖锋谷平用电负荷预测时段作为虚拟储能控制技术的用电参数,对用电负荷进行错峰控制;
进一步,由电力用户智能电表获取用户信息及历史负荷数据。
进一步,用电负荷按照年、月、周统计计算。
进一步,用电负荷按照24各时段计算负荷分布。
进一步,根据电力用户年、月、周用电负荷在24个时段分布权重,预测电力用户日24个时段尖峰平谷用电负荷分布。
进一步,将电力用户日24个尖锋谷平用电负荷预测时段作为虚拟储能控制技术的用电参数,对用电负荷进行错峰控制。
本发明提供的基于虚拟储能技术的峰谷时段计算方法,通过电力用户智能电表获取用户信息及历史负荷数据,并结合年、月、周用电负荷在24个时段分布权重,预测电力用户日24个时段尖峰平谷用电负荷分布,实现了区域电网峰谷时段的精准预测,有利于通过虚拟储能技术,定向降低电网峰段用电量,提高电网谷段用电量,从而实现节能降耗的目的。
附图说明
图1是本发明实施例提供的基于虚拟储能技术的峰谷时段计算方法流程图;
图2是本发明实施例提供的基于虚拟储能技术的峰谷时段数据结构图;
具体实施方式
为了使本发明的目的、技术方案及优点更加清楚明白,以下结合实施例,对本发明进行进一步详细说明。应当理解,此处所描述的具体实施例仅仅用以解释本发明,并不用于限定本发明。
下面结合附图及具体实施例对本发明的应用原理作进一步描述。
如图1所示,本发明实施例的基于虚拟储能技术的峰谷时段计算方法包括以下步骤:
S101:由电力用户智能电表获取用户信息及历史负荷数据;
S102:计算电力用户年用电负荷在24个时段分布权重,其计算公式为:
S103:计算电力用户月用电负荷在24个时段分布权重,其计算公式为:
S104:计算电力用户周用电负荷在24个时段分布权重,其计算公式为:
S105:根据电力用户年、月、周用电负荷在24个时段分布权重,预测电力用户日24个时段尖峰平谷用电负荷分布;
S106:将电力用户日24个尖锋谷平用电负荷预测时段作为虚拟储能控制技术的用电参数,对用电负荷进行错峰控制;
本发明的具体实施例:
如图2所示,为居民用电类的智能电表按照24个时段预测的尖锋谷平用电负荷分布。该电力用户根据年、月、周用电负荷在24个时段分布权重,分别以30%、30%、40%权重比例预测的电力用户日24个时段尖峰平谷用电负荷分布如下表。步骤S106将电力用户日24个尖锋谷平用电负荷预测时段作为虚拟储能控制技术的用电参数,对用电负荷进行错峰控制。
以上所述仅为本发明的较佳实施例而已,并不用以限制本发明,凡在本发明的精神和原则之内所作的任何修改、等同替换和改进等,均应包含在本发明的保护范围之内。

Claims (6)

1.一种基于虚拟储能技术的峰谷时段计算方法,其特征在于,该基于虚拟储能技术的峰谷时段计算方法包括:
步骤一,由电力用户智能电表获取用户信息及历史负荷数据;
步骤二,计算电力用户年用电负荷在24个时段分布权重;
步骤三,计算电力用户月用电负荷在24个时段分布权重;
步骤四,计算电力用户周用电负荷在24个时段分布权重;
步骤五,根据电力用户年、月、周用电负荷在24个时段分布权重,预测电力用户日24个时段尖峰平谷用电负荷分布;
步骤六,将电力用户日24个尖锋谷平用电负荷预测时段作为虚拟储能控制技术的用电参数,对用电负荷进行错峰控制。
2.如权利要求1所述的基于虚拟储能技术的峰谷时段计算方法,其特征在于,由电力用户智能电表获取用户信息及历史负荷数据。
3.如权利要求1所述的基于虚拟储能技术的峰谷时段计算方法,其特征在于,用电负荷按照年、月、周统计计算。
4.如权利要求1所述的基于虚拟储能技术的峰谷时段计算方法,其特征在于,用电负荷按照24个时段计算用电负荷分布。
5.如权利要求1所述的基于虚拟储能技术的峰谷时段计算的方法,其特征在于,步骤五根据电力用户年、月、周用电负荷在24个时段分布权重,预测电力用户日24个时段尖峰平谷用电负荷分布。
6.如权利要求1所述的基于虚拟储能技术的峰谷时段计算方法,其特征在于,步骤六,将电力用户日24个尖锋谷平用电负荷预测时段作为虚拟储能控制技术的用电参数,对用电负荷进行错峰控制。
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