CN112491086A - 一种风光储独立微电网优化配置方法 - Google Patents
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Abstract
本发明公开了一种风光储独立微电网优化配置方法,包括:建立太阳能电池板输出功率分解式,风力涡轮机的输出功率分解式,储能系统充放电功率表达式;建立风光储独立微电网中可调度设备k的最优运行方案方程;设定设备连续运行限值条件;设定风光储独立微电网功率配置方程;根据风光储独立微电网功率配置方程,求解风光储独立微电网优化配置方案。本发明将DR规划应用于风光储微电网优化配置中,利用DR解决独立微电网中的能量生成问题。
Description
技术领域
本发明涉及一种风光储独立微电网优化配置方法,该方法将需求侧响应(DR)规划应用于风光储微电网优化配置中,达到减少逆变器及储能设备数量的目的,对风光储独立微电网配置进行优化。
背景技术
风能和太阳能被认为是重要的可再生资源。这些资源产生的能量随时间而变化,通常不满足需求侧使用。这种不匹配的现象增加了离网系统的储能容量。另外,如果光伏(PV)系统或风力涡轮机(WT)分别独立使用,系统规模和投资成本将增加。混合使用这些能源可以提高系统的可靠性,并可以减少投资成本和微电网储能系统容量。
在风光储独立微电网并网系统中,经常需要利用需求侧响应(DR)来降低运营成本。DR是一种为了改变电力价格而改变消费模式或为了减少消费而改变消费成本的方法。
发明内容
本发明的目的在于提供一种风光储独立微电网优化配置方法,将DR规划应用于风光储微电网优化配置中,利用DR配置独立微电网所需能量,有效对微网规模进行优化,达到减少逆变器及储能设备数量的目的,实现风光储独立微电网优化配置。
本发明采取如下技术方案来实现的:
一种风光储独立微电网优化配置方法,包括以下步骤:
1)建立太阳能电池板输出功率分解式,风力涡轮机的输出功率分解式,储能系统充放电功率表达式;
2)为了获得风光储独立微电网最优配置方案,根据步骤1)太阳能电池板输出功率分解式,风力涡轮机的输出功率分解式,储能系统充放电功率表达式,建立风光储独立微电网中可调度设备k的最优运行方案方程;
3)为了能在连续时间间隔内可调度设备连续运行,在步骤2)风光储独立微电网中可调度设备k的最优运行方案方程中,设定设备连续运行限值条件;
4)根据总消耗功率应等于总发电功率,在每一个时间段内可调度负荷和不可调度负荷消耗的电能加上储能系统充电的电能等于光伏和风能提供的电能加上储能系统的放电电能,设定风光储独立微电网功率配置方程;
5)根据步骤4)风光储独立微电网功率配置方程,求解风光储独立微电网优化配置方案。
其中:Gt(t)(W/m2)是垂直于阵列表面的辐射入射功率,Ppv-rated是面板在标准测试STC条件下的额定功率,ηpv是太阳能电池板功率折减系数,TC,STC是电池在STC下的温度,βT是光伏温度系数,TC是运行时的电池温度,表示为:
其中:NOCT是正常运行电池温度,Tamb是环境温度;
其中:v(m/s)、vr、vcut-in,和vcut-out分别是风力机轮毂高度、额定转速、切入速度和截止转速,Pr代表额定转速下的输出功率;
储能系统充放电功率表达式为:PB(t)=PWT(t)+PPV(t)-PL(t)/ηinv;
其中:PL是t时刻总用电负荷,ηinv是逆变器效率。
本发明进一步的改进在于,如果PB=0那么电池组既不充电也不放电;如果PB>0,那么电池组会由于微电网产生过剩电量而进行充电。
本发明进一步的改进在于,步骤2)的具体实现方法为:为了获得风光储独立微电网最优配置方案,根据步骤1)太阳能电池板输出功率分解式,风力涡轮机的输出功率分解式,储能系统充放电功率表达式,建立风光储独立微电网中可调度设备k的最优运行方案方程:
其中:二进制变量flagk是第k个设备的开/关状态,当flagk=1,该设备在运行区间内处于开通状态,flagk=0意味着关断,spank指的是第k个设备的运行区间,其中:最早开始时间用ESTk表示,最迟结束时间用LFTk表示。
其中:二进制变量ONk(t)用来判断设备k是否在时间间隔t内打开,ONk(t)=1表示设备k在时间间隔t中打开;同理,二进制变量OFFk(t)用来判断设备k是否在时间间隔t内关闭,OFFk(t)=1表示设备k在时间间隔t中处于关闭状态;
本发明进一步的改进在于,步骤4)的具体实现方法为:为了实现风光储独立微电网最优配置,总消耗功率应等于总发电功率,在每一个时间段内可调度负荷和不可调度负荷消耗的电能加上储能系统充电的电能等于光伏和风能提供的电能加上储能系统的放电电能;在风光储独立微电网功率配置中增加了耗电变量,风光储独立微电网功率配置方程:
其中:Ploadncl(t),Ploadcl(t),PEESch(t),Ploaddump(t)和PEESdis(t)分别表示不可调度负荷功率,可调度负荷功率,电池充电电能,多余负荷功率和电池放电电能。
本发明进一步的改进在于,步骤5)的具体实现方法为:根据步骤4)风光储独立微电网功率配置方程,求解出风光储独立微电网优化配置方案。
与现有技术相比,本发明至少具有如下有益的技术效果:
1.本发明提出一种风光储独立微电网优化配置方法,将DR规划应用于风光储微电网优化配置中,利用DR解决独立微电网中的能量生成问题。
2.本发明利用DR解决独立微电网中的能量生成问题,有效对微网规模进行优化,达到减少逆变器及储能设备数量的目的,实现对风光储独立微电网配置进行优化。
附图说明
图1为光伏/风能/电池混合微电网系统示意图;
图2为微电网优化过程示意图;
图3为微电网一天消耗负荷功率平均值数据图;
图4为微电网每小时与每日混合负荷变化示意图;
图5为一个周期内微电网消耗的负荷功率对比图。
具体实施方式
下面通过附图,对本发明的技术方案做进一步的详细描述。
如图1所示,在风光储独立微电网,PV和WT作为电压源,储能系统(电池)作为电能储存装置。风光储独立微电网通过智能系统管理进行负荷调度。智能系统利用DR规划配置独立微电网所需能量,有效对微网规模进行优化。
风光储独立微电网DR规划配置需要规定指定时间段内可调度负荷的运行次数,未分配和不足能源的数量。约束条件包括组件的运行和物理限制,能量平衡,产能限制,设备能力和电池约束。
太阳能电池板直接把太阳光转换成电能。太阳能电池板(PPV)的输出直流功率取决于太阳光辐射强度、吸收容量、面板面积和电池温度,如式(1)所示。
式(1)中:Gt(t)(W/m2)是垂直于阵列表面的辐射入射功率,Ppv-rated是面板在标准测试(STC)条件下的额定功率,ηpv是太阳能电池板功率折减系数(%),TC,STC是电池在STC下的温度,βT是光伏温度系数,TC是运行时的电池温度,具体求解如式(2):
式(2)中:NOCT是正常运行电池温度,Tamb是环境温度。
风力涡轮机的输出功率是在风机在轮毂高度下风速的函数,输出功率表示为:
式(3)中:v(m/s)、vr、vcut-in,和vcut-out分别是风力机轮毂高度、额定转速、切入速度和截止转速。Pr代表额定转速下的输出功率。
储能系统用于使供需达到平衡,在微电网中电池可以作为储能系统。它可以根据发电和耗电电量来决定是否充电或放电,电池的输入功率可以是正的或负的,这取决于电池组的充放电状态,如式(4)所示。
PB(t)=PWT(t)+PPV(t)-PL(t)/ηinv (4)
式(4)中:PL是t时刻总用电负荷,ηinv是逆变器效率。如果PB=0那么电池组既不充电也不放电;如果PB>0,那么电池组会由于微电网产生过剩电量而进行充电。
如图2所示,为了获得风光储独立微电网最优配置方案,需要获得风光储独立微电网中可调度设备k的最优运行方案,可调度设备k需要在一定时间内稳定运行,运行方程为:
式(5)中:二进制变量flagk是第k个设备的开/关状态,当flagk=1,该设备在运行区间内处于开通状态,flagk=0意味着关断。spank指的是第k个设备的运行区间,其中:最早开始时间用ESTk表示,最迟结束时间用LFTk表示。为了能在连续时间间隔内可调度设备连续运行,限值条件为:
式(6)中:二进制变量ONk(t)用来判断设备k是否在时间间隔t内打开,ONk(t)=1表示设备k在时间间隔t中打开。同理,二进制变量OFFk(t)用来判断设备k是否在时间间隔t内关闭,OFFk(t)=1表示设备k在时间间隔t中处于关闭状态。ONk(t)和OFFk(t)之间关系为:
为了在设备打开和关闭的同时进行保护。需加约束条件:
为了实现风光储独立微电网最优配置,总消耗功率应等于总发电功率,在每一个时间段内可调度负荷和不可调度负荷消耗的电能加上储能系统充电的电能等于光伏和风能提供的电能加上储能系统的放电电能。然而因为对储能系统充放电速率的限制和对可调度负荷能力的限制以及可再生能源发电量的不可控性,在每个时间段内总消耗功率和总发电功率完全平衡是不可能的。本发明在风光储独立微电网功率配置中增加了耗电变量,风光储独立微电网功率配置方程为:
式(9)中:Ploadncl(t),Ploadcl(t),PEESch(t),Ploaddump(t)和PEESdis(t)分别表示不可调度负荷功率,可调度负荷功率,电池充电电能,多余负荷功率和电池放电电能。
如图3所示,每天消耗的能量和负荷(功率)峰值分别为51.84kWh和5.7kW。随着每日变化负荷和每小时变化负荷的混合,把每小时负荷的平均值乘以一个扰动系数,可表示为:
kcv=1+δd+δt (10)
式(10)中:δd为均值为零的正态分布,这一分布的标准偏差体现在“日变化率”;δt为零均值的正态分布,这一分布的标准偏差体现在“每小时变化率”。
如图4所示,控制负荷规划的时间段为15分钟,一天有96个时间段。微电网的负荷消耗包含四个可调度设备,总消耗量为3.95kWh/天(约占总负荷消耗的7.5%)。还有一些不可调度的设备,消耗量为47.89kWh/天。每个可调度设备一天的输入信息如表1所示。
表1可调度设备的参考规范
如图5所示,在42-56区间的消耗负荷量显著增加。这种增长是因为在这段时间内发电量很大。但可以明显的看出86-93区间的消耗负荷量大幅减少,这是由于发电量不足造成的。事实上DR通过部分负荷向发电过剩区间转移使得发电侧和耗电侧电能更为接近。必须注意的是,图中每个曲线(能量)的面积之和是相等的,这表示DR的应用不会消除任何耗电负载,只是改变负载的使用时间。描述有DR和没DR时消耗负载公式为:
在应用DR的情况下,峰值和低频分别为3.6kW和0.60kW,在不应用DR时,峰值和低频分别为5.7kW和0.38kW。因此应用DR将显著减少峰值负荷(36.8%),从而减少所需的微电网组件的数量/容量,降低成本。
以上所述,仅是本发明的较佳实施例,并非对本发明作任何限制,凡是根据本发明技术实质对以上实施例所作的任何简单修改、变更以及等效结构变化,均仍属于本发明技术方案的保护范围内。
Claims (8)
1.一种风光储独立微电网优化配置方法,其特征在于,包括以下步骤:
1)建立太阳能电池板输出功率分解式,风力涡轮机的输出功率分解式,储能系统充放电功率表达式;
2)为了获得风光储独立微电网最优配置方案,根据步骤1)太阳能电池板输出功率分解式,风力涡轮机的输出功率分解式,储能系统充放电功率表达式,建立风光储独立微电网中可调度设备k的最优运行方案方程;
3)为了能在连续时间间隔内可调度设备连续运行,在步骤2)风光储独立微电网中可调度设备k的最优运行方案方程中,设定设备连续运行限值条件;
4)根据总消耗功率应等于总发电功率,在每一个时间段内可调度负荷和不可调度负荷消耗的电能加上储能系统充电的电能等于光伏和风能提供的电能加上储能系统的放电电能,设定风光储独立微电网功率配置方程;
5)根据步骤4)风光储独立微电网功率配置方程,求解风光储独立微电网优化配置方案。
2.根据权利要求1所述的一种风光储独立微电网优化配置方法,其特征在于,步骤1)的具体实现方法为:建立太阳能电池板输出功率分解式,太阳能电池板的输出直流功率取决于太阳光辐射强度、吸收容量、面板面积和电池温度,太阳能电池板输出功率分解式为:
其中:Gt(t)(W/m2)是垂直于阵列表面的辐射入射功率,Ppv-rated是面板在标准测试STC条件下的额定功率,ηpv是太阳能电池板功率折减系数,TC,STC是电池在STC下的温度,βT是光伏温度系数,TC是运行时的电池温度,表示为:
其中:NOCT是正常运行电池温度,Tamb是环境温度;
其中:v(m/s)、vr、vcut-in,和vcut-out分别是风力机轮毂高度、额定转速、切入速度和截止转速,Pr代表额定转速下的输出功率;
储能系统充放电功率表达式为:PB(t)=PWT(t)+PPV(t)-PL(t)/ηinv;
其中:PL是t时刻总用电负荷,ηinv是逆变器效率。
3.根据权利要求2所述的一种风光储独立微电网优化配置方法,其特征在于,如果PB=0那么电池组既不充电也不放电;如果PB>0,那么电池组会由于微电网产生过剩电量而进行充电。
8.根据权利要求7所述的一种风光储独立微电网优化配置方法,其特征在于,步骤5)的具体实现方法为:根据步骤4)风光储独立微电网功率配置方程,求解出风光储独立微电网优化配置方案。
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