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.

随着印度可再生能源的出现，消费者开始使用能量存储系统来控制太阳能发电量的变化。为了解决与住宅光伏发电相关的天气相关事件引起的间歇性问题，已进行了智能电源管理策略，以在降低成本的同时调整消费者可再生能源系统的功效。所提出的方法基于动态编程算法来确定电池存储的充电状态时间表，该动态编程算法可最大程度地减少消费者的能源成本并最大化健康的能量存储状态。电池的健康状态作为老化系数引入模型，该系数迫使保守的电池行为以保持其使用寿命并持续使用。