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Voltage control in microgrids with minimum adjustment in distributed generation units

机译:微电网中的电压控制,分布式发电单元的最小调整

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New challenges are emerging with the insertion of renewable energy sources into Brazilian electricity grids. An example of this is the integration of distributed generation in the distribution networks, causing changes in the management and mode of operation of the system. The increase in the complexity and uncertainties resulting from this new trend in the electric sector results in a series of impacts, with emphasis on the occurrence of inadequate voltage levels and constant voltage variations, which can often violate the constructive limits of the equipment, impairing normal operation of the system. Thus, analyzes of different operating scenarios are necessary aiming to develop control strategies for answer to this new paradigm. This paper presents an optimization method to automatically coordinate voltage regulation resources in a microgrid considering the minimum adjustment in distributed generation units, contributing to the microgrids operation in real time. The implementation of Python logic and computational intelligence application using the PSO, Particle Swarm Optimization, technique will allow the evaluation of input data and, within system constraints and user configurations, control the energy utilization, contributing to voltage control of microgrids.
机译:新的挑战正在推出可再生能源进入巴西电网。这是一个例子是分发网络中分布式生成的集成,导致系统管理和操作模式的变化。由于这种新趋势的复杂性和不确定性的增加导致了一系列影响,强调电压水平不足和恒定电压变化的发生,这可能往往违反设备的建设性范围,正常损害系统的操作。因此,对不同操作场景的分析是必要的,旨在制定对此新范式的答案的控制策略。本文提出了一种优化方法,用于在考虑分布式发电单元中的最小调整,在实时调整的微电网中自动坐标电压调节资源,实时对微电网进行贡献。使用PSO,粒子群优化,技术的实现Python逻辑和计算智能应用程序将允许评估输入数据,并且在系统约束和用户配置中,控制能量利用率,有助于微电网的电压控制。

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