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首页> 外文会议>International Conference on Smart Grids and Green IT Systems >Increasing Self-consumption of Photovoltaic Electricity by Storing Energy in Electric Vehicle using Smart Grid Technology in the Residential Sector A Model for Simulating Different Smart Grid Programs
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Increasing Self-consumption of Photovoltaic Electricity by Storing Energy in Electric Vehicle using Smart Grid Technology in the Residential Sector A Model for Simulating Different Smart Grid Programs

机译：通过在住宅扇区中使用智能电网技术将能量储存在电动车辆中的能量来增加光伏电力的自我消耗，在居民扇区中的模拟模拟不同的智能网格程序

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摘要

In this paper a model has been developed which intends to simulate the increase of self-consumption of photovoltaic (PV)-power by storing energy in electric vehicle (EV) using smart grid technology in the residential sector. Three different possible smart grid control algorithms for a micro-grid consisting of solar panels, a household and an EV are presented that manage the (dis-)charging profile of an EV, either in realtime or using linear optimization using predictions for PV-power and electricity demand. The different control algorithms are simulated for a year using data for PV-power and electricity demand from the Netherlands and one specific EV. Preliminary results of the model are presented, showing that all control algorithms could significantly increase self-consumption and reduce peaks in electricity demand from the main grid. Although the difference in performance of the control algorithms for self-consumption is marginal, we find that linear optimization works better than the real-time algorithms for peak reduction.
机译：在本文中，已经开发了一种模型，该模型旨在通过在住宅部门使用智能电网技术在电动车辆（EV）中的能量来模拟光伏（PV）-Power的自耗增加。提出了由太阳能电池板，家庭和EV组成的微电网的三种不同可能的智能电网控制算法，其实时或使用用于PV-Power的预测的线性优化来管理（DIS）充电曲线。和电力需求。使用来自荷兰和一个特定EV的PV-Power和电力需求数据模拟不同的控制算法一年。提出了模型的初步结果，表明所有控制算法都可以显着提高自我消耗，从主电网降低电力需求峰值。虽然对自耗控制算法的性能差异是边缘的，但​​是发现线性优化工作比实时算法更好地减少峰值。

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