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Solution for Voltage and Frequency Regulation in Standalone Microgrid using Hybrid Multiobjective Symbiotic Organism Search Algorithm

机译:使用杂种多目标共生体生物搜索算法的独立微电网电压和频率调节解决方案

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摘要

Voltage and frequency regulation is one of the greatest challenges for proper operation subsequent to the isolated microgrid. To validate the satisfactory electric power quality supply to customers, the proposed manuscript tries to enhance the quality of energy provided by DG (Distributed generation) units connected to the subsequent isolated grid. Microgrid and simulation-based control structure including voltage and current control feedback loops is proposed for microgrid inverters to recover voltage and frequency of the system subsequently for any fluctuations in load change. The proportional-integral (PI) controller connected to the voltage controller is an end goal to obtain smooth response in most of the consistent frameworks. The present controller creates the space vector pulse width modulation signals which are given to the three-leg inverter. The objective elements of the multiobjective optimization issue are voltage overshoot and undershoot, rise time, settling time, and integral time absolute error (ITAE). The hybrid Multiobjective Symbiotic Organism Search (MOSOS) calculation is associated for self-tuning of control parameters keeping in mind the end goal to deal with the voltage and frequency. The proposed PI controller, along with the hybrid Multiobjective Symbiotic Organism Search algorithm, provides the solution for the greatest challenge of voltage and frequency regulation in an isolated-microgrid operation.
机译:电压和频率调节是孤立的MicroGrid后面适当操作的最大挑战之一。为了验证客户的令人满意的电能质量供应,提出的稿件试图提高连接到随后的孤立网格的DG(分布式发电)单元提供的能量质量。提出了包括电压和电流控制反馈环路的微电网和基于仿真的控制结构,用于微电网逆变器,以便随后在负载变化中的任何波动中恢复系统的电压和频率。连接到电压控制器的比例积分(PI)控制器是最终目标,以获得大多数一致框架中的平滑响应。本控制器创建了给予三腿逆变器的空间矢量脉冲宽度调制信号。多目标优化问题的目标元素是电压过冲和下冲,上升时间,稳定时间和积分时间绝对误差(ITAE)。混合多目标共生有机体搜索(Mosos)计算与控制参数的自调整相关联,保持识别最终目标以处理电压和频率。所提出的PI控制器以及混合多目标共生有机体搜索算法提供了孤立微电网操作中最大挑战的解决方案。

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