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Optimal scheduling of battery storage with grid tied PV systems for trade-off between consumer energy cost and storage health

机译:电池电池封口PV系统的最佳调度,用于消费者能源成本与储存健康之间的权衡权衡

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With the advent of renewable energy in India has initiated consumers to get energy storage systems to mange solar power variation. To solve intermittency issues from weather related events that occur with residential photovoltaic generation, intelligent power management strategies have been carried outto tune efficacy of the consumer's renewable energy system while reducing cost. The proposed method decides the state of charge schedule for the battery storage based on a dynamic programming algorithm that minimizes consumer energy cost and maximizes energy storage state of health. The battery state of health was introduced into the model as an ageing coefficient that forces conservative battery behaviour to preserve its lifetime with continued use. Simulation results show a high potential to increase the profitability of a grid connected PV-BESS system using time of use (TOU) tariff.
机译:随着印度可再生能源的出现,已启动消费者以获得储能系统以衡量太阳能变化。为了解决住宅光伏发电的天气相关事件中的间歇性问题,智能电力管理策略已经进行了消费者可再生能源系统的曲调,同时降低了成本。所提出的方法基于动态编程算法确定电池存储的充电时间表,其最小化消费能量成本并最大限度地提高健康的能量存储状态。将电池的健康状况引入模型中作为老化系数,从而强制持续使用的保守电池行为以保持其寿命。仿真结果表明,使用使用时间(TOU)关税增加电网连接的PV-BESS系统的盈利能力很高。

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