Path marginal cost （PMC） is the change in totaltravel cost for flow on the network that arises when timedependentpath flow changes by 1 unit. Because it is hardto obtain the marginal cost on all the links, the local...Path marginal cost （PMC） is the change in totaltravel cost for flow on the network that arises when timedependentpath flow changes by 1 unit. Because it is hardto obtain the marginal cost on all the links, the local PMC,considering marginal cost of partial links, is normallycalculated to approximate the global PMC. When analyzingthe marginal cost at a congested diverge intersection, ajump-point phenomenon may occur. It manifests as alikelihood that a vehicle may unsteadily lift up （down） inthe cumulative flow curve of the downstream links. Previously,the jump-point caused delay was ignored whencalculating the local PMC. This article proposes an analyticalmethod to solve this delay which can contribute toobtaining a more accurate local PMC. Next to that, we usea simple case to calculate the previously local PMC and themodified one. The test shows a large gap between them,which means that this delay should not be omitted in thelocal PMC calculation.展开更多
由于可再生能源的广泛接入,智能配电网面临电压波动挑战,直接导致了电压裕度增加。因此,设计了基于态势感知的智能配电网精细化日前优化调度方法。该方法构建了一个由数据捕获层、数据分析层、未来预测层构成的3层态势感知架构。基于电...由于可再生能源的广泛接入,智能配电网面临电压波动挑战,直接导致了电压裕度增加。因此,设计了基于态势感知的智能配电网精细化日前优化调度方法。该方法构建了一个由数据捕获层、数据分析层、未来预测层构成的3层态势感知架构。基于电网数据,设定约束与目标函数,建立日前调度模型。模型通过识别储能系统荷电状态(State of Charge,SoC)极值点,估算虚拟电量消耗,并线性化资本回收系数,实现精细化调度。实验显示,该方法将总电压裕度降至54.26 V,远低于同类研究,有效降低了电压裕度,提高了配电网运行效率。展开更多
文摘Path marginal cost （PMC） is the change in totaltravel cost for flow on the network that arises when timedependentpath flow changes by 1 unit. Because it is hardto obtain the marginal cost on all the links, the local PMC,considering marginal cost of partial links, is normallycalculated to approximate the global PMC. When analyzingthe marginal cost at a congested diverge intersection, ajump-point phenomenon may occur. It manifests as alikelihood that a vehicle may unsteadily lift up （down） inthe cumulative flow curve of the downstream links. Previously,the jump-point caused delay was ignored whencalculating the local PMC. This article proposes an analyticalmethod to solve this delay which can contribute toobtaining a more accurate local PMC. Next to that, we usea simple case to calculate the previously local PMC and themodified one. The test shows a large gap between them,which means that this delay should not be omitted in thelocal PMC calculation.
文摘由于可再生能源的广泛接入,智能配电网面临电压波动挑战,直接导致了电压裕度增加。因此,设计了基于态势感知的智能配电网精细化日前优化调度方法。该方法构建了一个由数据捕获层、数据分析层、未来预测层构成的3层态势感知架构。基于电网数据,设定约束与目标函数,建立日前调度模型。模型通过识别储能系统荷电状态(State of Charge,SoC)极值点,估算虚拟电量消耗,并线性化资本回收系数,实现精细化调度。实验显示,该方法将总电压裕度降至54.26 V,远低于同类研究,有效降低了电压裕度,提高了配电网运行效率。
