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Optimal Sizing of Energy Storage Capacity for a Wind Power Generator to reduce the Loss of Load Probability

机译:风力发电机能量存储容量的最佳尺寸,以减少负载概率的损失

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The Loss of Load has significant effect on the power system operation. In autonomous/grid connected distribution systems Loss of load frequently happens due to the reduction in wind/solar power generation. The Day ahead forecasting of wind velocity is very beneficial to the power system operators for unit commitment. In this paper the wind velocity for a particular hour of the day is predicted in advance. This paper addresses a method to reduce the problem of loss of load probability by the addition of Energy storage unit (ESU) along with wind power generation. The variations in the wind power are compensated though the storage system and reduces the risk of violating the power commitment made. The prediction of wind velocity obtained by this method is validated using the data collected from MOSDAC (Meteorological & Oceanographic Satellite Data Archival Centre), Government of India. Choice of optimal size for the ESU is done by minimising the sum of annual cost to be incurred for installing the ESU and the cost of energy not supplied.
机译:负载损失对电力系统操作具有显着影响。在自主/网格连接的分配系统中,由于风/太阳能发电的减少,经常损失负载。前一天的风速预测对单位承诺的电力系统运营商非常有益。在本文中,预先预先预测当天特定小时的风速。本文通过加入能量存储单元(ASU)以及风力发电来解决减少负载概率损失问题的方法。虽然存储系统,风电的变化是补偿,并降低了违反所做的电力承诺的风险。使用来自印度政府的MOSDAC(气象卫星数据档案中心)收集的数据验证了通过印度政府所收集的数据获得的风速预测。通过最大限度地减少为安装ESU的年度成本和未提供的能源成本来实现ESU的最佳尺寸的选择是通过的。

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