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Bidirectional DC-DC converter for microgrid in energy management system

机译:用于微电网的双向DC-DC转换器在能量管理系统中

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DC-DC converter plays a major role in microgrid and energy storage system using operational stability and synchronised power delivery. In this paper, an energy management control algorithm is proposed based on closed-loop proportional-integral (PI) to solve and analyse the issues of unstable DC link voltage. During grid-connected mode, a hybrid energy storage system (HESS), i.e. super-capacitor (SC) and battery units are charged from different hybrid energy resource, i.e. solar and wind. In the absence of energy resources (solar or wind), the energy storage units (supercapacitor and battery) need to supply the grid, which is the main aim of this work. Initially, the energy management control is used to control the generated power from wind and solar for the stability requirement. The MPPT technique has been considered here to make system flexibility and compatibility with different PV cell and wind energy. This proposed system successfully tracked the maximum power, which is analysed using the combined development of galactic swarm optimisation (GSO) based incremental conductance (IC) algorithm. Using GSO in MPPT should reduce the steady-state oscillation and get high convergence rate. The whole work is implemented in Matlab/Simulink platform and the performance of proposed is compared with existing algorithms.
机译:DC-DC转换器在微电网和能量存储系统中起主要作用,使用操作稳定性和同步电力输送。本文基于闭环比例积分(PI)来解决和分析不稳定直流链路电压问题的能量管理控制算法。在网格连接模式期间,混合能量存储系统(HESS),即超级电容器(SC)和电池单元被从不同的混合能量资源上充电,即太阳能和风。在没有能源(太阳能或风)的情况下,能量存储单元(超级电容器和电池)需要提供电网,这是这项工作的主要目的。最初,能量管理控制用于控制风和太阳能的产生功率,以实现稳定性要求。此处已考虑MPPT技术,以使系统灵活性和与不同光伏电池和风能的兼容性。这一提出的系统成功地跟踪了最大功率,使用基于银河系群(GSO)的增量电导(IC)算法的组合开发来分析。在MPPT中使用GSO应减少稳态振荡并获得高收敛速度。整个工作是在MATLAB / SIMULINK平台中实现的,并且将提出的性能与现有算法进行比较。

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