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Optimal control of plug-in hybrid electric vehicles in frequency regulation service

机译:调频服务中插电式混合动力汽车的最优控制

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摘要

Growing penetration of plug-in hybrid electric vehicles (PHEVs) places significant impacts on grid, either as electric loads or potential valued vehicle-to-grid (V2G) services. This paper proposes an optimisation strategy to recharge PHEVs batteries with minimum charging cost as well as to produce desired power for grid frequency regulation. The cost arising from the battery charging and the revenue obtained by providing regulation are investigated and represented mathematically. Dynamic programming (DP) algorithm is applied to construct the problem and to compute the optimal controlling strategy for a fleet of PHEVs. Battery state-of-charge (SoC) and charging current are taken as the state factor and control factor of the objective function. Driving energy demand and regulation requirements are treated as disturbances in objective function. Pricing data in cost function and load data in objective function are original from PJM. Simulations are provided to illustrate the optimality of the proposed strategy in 24 hours with variations of parameters.
机译:插电式混合动力汽车(PHEV)的日益普及对电网产生了重大影响,无论是电力负荷还是具有潜在价值的车对网(V2G)服务。本文提出了一种优化策略,以最小的充电成本为PHEV电池充电,并为电网频率调节产生所需的功率。对电池充电产生的成本和通过提供法规获得的收益进行了调查并以数学方式表示。动态规划(DP)算法用于构造问题并计算PHEV的最优控制策略。电池充电状态(SoC)和充电电流被用作目标函数的状态因子和控制因子。驱动能量需求和法规要求被视为目标函数的干扰。成本函数中的定价数据和目标函数中的负荷数据均来自PJM。提供仿真以说明所提出策略在24小时内参数变化的最优性。

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