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首页> 外文期刊>Energy Conversion & Management >Intelligent optimization to integrate a plug-in hybrid electric vehicle smart parking lot with renewable energy resources and enhance grid characteristics
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Intelligent optimization to integrate a plug-in hybrid electric vehicle smart parking lot with renewable energy resources and enhance grid characteristics

机译：智能优化，将插电式混合动力电动汽车智能停车场与可再生能源整合在一起，并增强电网特性

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Widespread application of plug-in hybrid electric vehicles (PHEVs) as an important part of smart grids requires drivers and power grid constraints to be satisfied simultaneously. We address these two challenges with the presence of renewable energy and charging rate optimization in the current paper. First optimal sizing and siting for installation of a distributed generation (DG) system is performed through the grid considering power loss minimization and voltage enhancement. Due to its benefits, the obtained optimum site is considered as the optimum location for constructing a movie theater complex equipped with a PHEV parking lot. To satisfy the obtained size of DG, an on-grid hybrid renewable energy system (HRES) is chosen. In the next set of optimizations, optimal sizing of the HRES is performed to minimize the energy cost and to find the best number of decision variables, which are the number of the system's components. Eventually, considering demand uncertainties due to the unpredictability of the arrival and departure times of the vehicles, time-dependent charging rate optimizations of the PHEVs are performed in 1 h intervals for the 24-h of a day. All optimization problems are performed using genetic algorithms (GAs). The outcome of the proposed optimization sets can be considered as design steps of an efficient grid-friendly parking lot of PHEVs. The results indicate a reduction in real power losses and improvement in the voltage profile through the distribution line. They also show the competence of the utilized energy delivery method in making intelligent time-dependent decisions in off-peak and on-peak times for smart parking lots.
机译：作为智能电网的重要组成部分的插电式混合动力汽车（PHEV）的广泛应用要求驾驶员和电网约束同时满足。在本文中，我们通过使用可再生能源和优化充电率来应对这两个挑战。考虑到功率损耗最小化和电压增强，首先通过电网执行用于安装分布式发电（DG）系统的最佳选型和选址。由于其优点，获得的最佳地点被认为是建造配备有PHEV停车场的电影院的最佳地点。为了满足获得的DG的大小，选择了并网混合可再生能源系统（HRES）。在下一组优化中，将执行HRES的最佳尺寸设置，以最大程度地降低能源成本并找到最佳决策变量数量，即系统组件的数量。最终，考虑到由于车辆的到达和离开时间的不可预测性而导致的需求不确定性，在一天中的24小时内，每隔1小时执行一次PHEV随时间变化的充电率优化。所有优化问题均使用遗传算法（GA）执行。提出的优化集的结果可以被视为PHEV的高效网格友好型停车场的设计步骤。结果表明，有功功率损耗减少了，通过配电线路的电压分布得到了改善。他们还显示了利用能量传递方法在智能停车场的非高峰时间和高峰时间做出与时间有关的智能决策的能力。

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