这些标量和参数的利用值列于表4。Φdeg,Cycy,s,t=AxavxVγdeg,Cyc·CBAT,Reply,a,v,s,tαBat,LFT·pp Cy,a,v,s,t·@tαBat,Os·SOCy,a,v,s,t(2)通过PC日历老化的降解成本Φdeg,Caly,s,t[e]由公式(3)确定。由于在旅行期间的SOC是未知的,成本只适用于电池时,它是插入。老化不可避免的部分表现为γdeg,calc,而不适宜的部分则取决于充电状态,在PC充电时与γdeg,Caly,s,t=axavxv(γdeg,calc+γdeg,calf·socp Cy,a,v,s,tαbat,os·SOCy,a,v,s,t)·cbat,Reply,a,v,s,tαbat,Lft(3)3.2.2。智能充电器,s,tPInf lexy,a,v,s,ttrips,而V PF lexy,a,V,s,t[MW]是可移动的可变充电负荷,Ωy,s,t=axavxvpinf lexy,a,V,s,t·t+V PF lexy,a,V,s,t·t(4)循环退化costaΦdeg,Cycy,s,t[e]根据式(5)中的SC和日历的agingDeg,Caly,s,te等充电负荷进行调整,而日历老化成本现在也可以通过控制代表sc的电荷状态的变量SOCy,a,v,s,t[MWh]来降低。Φdeg,Cycy,s,t=axavxvγdeg,cyc·cbat,Reply,a,v,s,tαbat,Lft·pinf lexy,a,v,s,t+v PF lexy,a,v,s,tαbat,os.SOCy,a,v,s,t=axavxv(γdeg,calc+γdeg,CalFV SOCy,a,v,s,tαbat,os.SOCy,a,v,s,t=axavxv,a,v,s,t)·CBAT,Reply,a,v,s,tαBAT,Lft(6)ηCH,DCHE能量通过车辆tripsT ry,a,v,s,t[MWh]。chargeV SOCy,a,v,s,t[MWh]的状态有aSOCy,a,v,s,tSOCy,a,v,s,tSOCy,a,v,s,t=v SOCy,a,v,s,t=v SOCy,a,v,s,t=v SOCy,a,v,s,t=v SOCy,a,v,s,t=v SOCy,a,v,s,t=a,v,s,t=1,SOCF lexd,c,t+ηch,Dch(PInf lexy,a,v,s,t=v PF lexy,a,v,s,t=v,v,s,t=v,v,s,t=v,v Gerpchy,v[MW]和插电车辆数qtybat,Availc,s,t。如公式(9)所示,充气量和充气量之和不应超过可安装充电器的容量,而ev PF lexy,a,v,s,t[MWh]不能为公式(10)所述的负值。0≤PInf lexy,a,v,s,t+v PF lexy,a,v,s,t≤PChy,v·QtyBat,Availc,s,t(9)0≤v PF lexy,a,v,s,t(10)3.2.3。虽然SC方案只允许负载转移,V2G充电方案也可以在价格高时积极出售能量。这对需求约束对ΩS、y、T[MWh]有一个正的E和ECT关系,如方程(11)所示。放电的选择由可变的PV2Gy,a,v,s,T[MWh]表示,并且对于EV用户也降低了EV的Ecost。Ωs,y,t=axavxvpinf lexy,a,v,s,t·t+v PF lexy,a,v,s,t·t-v pv2Gy,a,v,s,t·t(11)方程(5)和(6)的退化约束都可以重复使用,因为周期性退化仅施加于充电,并且日历老化仍然依赖于充电状态。从放电得到的能量平衡乘以e-ciency损耗。v SOCy,a,v,s,t=v SOCy,a,v,s,t-1+SOCF lexd,c,t+ηch,DCH·(PInf lexy,a,v,s,t+v PF lexy,a,v,s,t+v PF lexy,a,v,s,t)·ut(12)-ηch,DCH·v PV 2Gy,a,v,s,t·t-T ry,a,v,s,t(13)充电器约束9也相应地在等式14中刷新。