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Quantitative approach of battery management system with optimised integrated distributed energy storage system for smart distribution grid

机译:具有优化集成分布式能量存储系统的电池管理系统的定量方法,用于智能分布网格

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摘要

As electricity shortage has been increasing day by day and conventional power system does not fulfil this exponentially increasing demand because every consumer depend on the main central generation unit, so this central energy generation network must be converted in to the distributed decentralised generation unit and for this more distributed energy resources are integrating in to the existing distribution network, extra power produced can be saved in distributed energy storage system (DESS). Since battery is the main building block of DESS, so linearised battery model is derived with the help of simple matrix manipulation and quantitative battery management system, of DC-DC bi-directional converter, bi-directional inverter and controlling circuitry of battery management system is designed. Software tool MATLAB (SIMULINK) version is used for the testing of simulation result. Results shows that proposed linearised battery model and estimated state of charge with the help of Kalman filter is more efficient as compared to the nonlinear model.
机译:随着电力短缺的一天,由于每个消费者依赖于主要的中央发电单元,传统的电力系统不满足这种指数增加的需求,因此必须将该中央能源生成网络转换为分布式分散的生成单元和此更多分布式能源资源正在集成到现有的分销网络中,可以在分布式储能系统(DESS)中保存额外的电力。由于电池是DES的主体建筑块,因此,借助简单的矩阵操作和定量电池管理系统,DC-DC双向转换器,双向逆变器和电池管理系统的控制电路的帮助导出了线性化电池模型设计。软件工具MATLAB(SIMULINK)版本用于测试仿真结果。结果表明,与非线性模型相比,借助于卡尔曼滤波器的提出线性电池模型和估计的充电状态更有效。

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