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Minimizing residential distribution system operating costs by intelligently scheduling plug-in hybrid electric vehicle charging

机译:通过智能调度插入式混合动力电动车充电最小化住宅分配系统运营成本

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Rising fuel prices and environmental concerns are threatening the stability of current electrical grid systems. These factors are pushing the automobile industry towards more efficient, hybrid vehicles. Current trends show petroleum is being edged out in favor of electricity as the main vehicular motive force. The proposed methods create an optimized charging control schedule for all participating Plug-in Hybrid Electric Vehicles in a distribution grid. The optimization will minimize daily operating costs, reduce system losses, and improve power quality. This requires participation from Vehicle-to-Grid capable vehicles, load forecasting, and Locational Marginal Pricing market predictions. Vehicles equipped with bidirectional chargers further improve the optimization results by lowering peak demand and improving power quality.
机译:燃料价格上涨和环境问题威胁到目前电网系统的稳定性。这些因素正在推动汽车行业迈向更高效的混合动力车辆。目前的趋势表明石油被剥夺了电力作为主要的车辆动力。所提出的方法为分布网格中的所有参与插件混合动力电动车创建了优化的充电控制计划。优化将最大限度地减少日常运营成本,降低系统损失,提高电能质量。这需要参与车辆到网格的车辆,负荷预测和位置边际定价市场预测。配备双向充电器的车辆通过降低峰值需求和提高功率质量,进一步改善优化结果。

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