随着私家电动汽车(private electric vehicles,PREV)的普及,大规模PREV的无序充电将引起用电负荷高峰,影响配电网安全。针对商业停车场环境下的PREV充电问题,首先提出一种车辆准入机制,尽可能提高车辆准入数量,并确保准入车辆能够在预...随着私家电动汽车(private electric vehicles,PREV)的普及,大规模PREV的无序充电将引起用电负荷高峰,影响配电网安全。针对商业停车场环境下的PREV充电问题,首先提出一种车辆准入机制,尽可能提高车辆准入数量,并确保准入车辆能够在预定时间内完成充电需求;其次,采用基于熵权法确定适应度函数权重的遗传模拟退火算法(GASA),提出一种面向多目标优化的PREV充电调度策略,综合优化停车场运营商利润和车主充电满意度。实验结果表明,基于GASA的PREV充电调度策略性能良好,与极端情况(车辆数为600的无序充电)相比,该策略的运营商利润和车主充电满意度分别提高了12.3%和109.7%,综合适应度函数值增加了35.2%;另外,其能够有效平缓配电网负荷分布,在保障配电网安全前提下实现停车场运营商和PREV车主的双赢。展开更多
Measurement-Based Admission Control (MBAC) algorithms, as opposed to the more conservative worst-case parameter-based approach, are expressly designed to achieve high levels of network utilization for the controlled-l...Measurement-Based Admission Control (MBAC) algorithms, as opposed to the more conservative worst-case parameter-based approach, are expressly designed to achieve high levels of network utilization for the controlled-load service, a real-time service with very relaxed service guarantee. Most researchers studying MBAC algorithms (MBAC's) have focused primarily on the design of the Admission Control Equations (ACE's) using a variety of principled and ad hoc motivations. In this paper, we prove theoretically that the ACE's, even though derived and motivated in quite different ways, are equivalent by tuning the adjustable parameters of MBAC's. We also use simulations to confirm our work. The simulation results show that MBAC's may have the same utilization for a given packet loss rate through tuning the relevant parameters.展开更多
文摘随着私家电动汽车(private electric vehicles,PREV)的普及,大规模PREV的无序充电将引起用电负荷高峰,影响配电网安全。针对商业停车场环境下的PREV充电问题,首先提出一种车辆准入机制,尽可能提高车辆准入数量,并确保准入车辆能够在预定时间内完成充电需求;其次,采用基于熵权法确定适应度函数权重的遗传模拟退火算法(GASA),提出一种面向多目标优化的PREV充电调度策略,综合优化停车场运营商利润和车主充电满意度。实验结果表明,基于GASA的PREV充电调度策略性能良好,与极端情况(车辆数为600的无序充电)相比,该策略的运营商利润和车主充电满意度分别提高了12.3%和109.7%,综合适应度函数值增加了35.2%;另外,其能够有效平缓配电网负荷分布,在保障配电网安全前提下实现停车场运营商和PREV车主的双赢。
文摘Measurement-Based Admission Control (MBAC) algorithms, as opposed to the more conservative worst-case parameter-based approach, are expressly designed to achieve high levels of network utilization for the controlled-load service, a real-time service with very relaxed service guarantee. Most researchers studying MBAC algorithms (MBAC's) have focused primarily on the design of the Admission Control Equations (ACE's) using a variety of principled and ad hoc motivations. In this paper, we prove theoretically that the ACE's, even though derived and motivated in quite different ways, are equivalent by tuning the adjustable parameters of MBAC's. We also use simulations to confirm our work. The simulation results show that MBAC's may have the same utilization for a given packet loss rate through tuning the relevant parameters.
