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Optimum utilization of photovoltaic generation with battery storage in distribution system by utilizing genetic algorithm

机译:利用遗传算法利用分配系统电池储存的光伏发电优化利用

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This work introduces a methodology for optimum utilization of photovoltaic (PV) energy generation with battery energy storage system (BESS) in distribution network. In this work, three type time varying distribution load i.e. commercial, residential and industrial are considered for BESS allocation. Power Loss minimization is considered as main objective function in this paper. Moreover, bus voltage deviation is maintained within the distribution system operational limit. Optimal allocation and sizing of battery energy storage system with photovoltaic generation is achieved by considering PV-BESS project case. The proposed work is implemented on modified IEEE 69 Bus test system. Based on the simulation results, the proposed framework for battery allocation reduces power losses and mitigate overvoltage problem in test distribution network. The optimization results reveal that proposed optimization methodology is promising. Results of this paper also shows that it is possible to dispatch peak power during the peak load hours for each type of load model.
机译:该工作介绍了一种方法,用于在配电网中使用电池储能系统(BESS)的光伏(PV)能量产生的方法。在这项工作中,三种类型的时间变化分配负荷I.商业,住宅和工业被认为是贝尔斯分配。功率损耗最小化被认为是本文的主要目标函数。此外,总线电压偏差在分布系统运行极限内保持。通过考虑PV-BESS项目案例,实现了具有光伏发电的电池储能系统的最佳分配和尺寸。拟议的工作是在修改的IEEE 69总线测试系统上实施的。基于仿真结果,所提出的电池分配框架可降低功率损耗并在测试分配网络中减轻过压问题。优化结果表明,提出的优化方法是有前途的。本文的结果还表明,对于每种类型的负载模型,可以在峰值负荷小时内发出峰值功率。

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