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Transient and small signal stability improvement in microgrid using AWOALO with virtual synchronous generator control scheme

机译:用虚拟同步发电机控制方案使用AWOALO微电网的瞬态和小信号稳定性改进

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A hybrid technique for improving the transient and small signal stability in microgrid (MG) using virtual inertia is discussed at these manuscripts. The established hybrid method denotes combined performance of both Whale Optimization Algorithm (WOA) and Ant Lion Optimization (ALO) algorithm it is named as AWOALO technique. The purpose of AWOALO technique is to optimize the control parameters for regulate the changes occurred in the grid parameter such as voltage as well as frequency depend on variations of inertia. AWOALO technique is performed to optimally adjust the parameters to have a smooth transition behind a change or disturbance. Here, the Virtual Synchronous Generator denotes control method to inverter depend on generator units, which uses a synchronous generator (SG) enhance system stability. WOA is performed to adjust the parameters of VSG units to attain the objective function. The searching behaviour of WOA is modified by the hunting behaviour of ALO. This hunting behaviour of ALO is used to achieve the objective function with less computational complexity. The AWOALO technique with the VSG control scheme ensures the smooth response, accurate performance while considering the constraints of voltage angle deviation The AWOALO method is actualized at MATLAB/Simulink working platform as well as outcomes are examined to two test cases and compared with various solution techniques such as base method, ant lion optimization (ALO) and whale optimization algorithm (WOA). The comparison outcomes determine the superiority of AWOALO method as well as confirm its potential to resolve problem. Finally, AWOALO technique display promising presentation based on shared power, that is, 100% power is deliver as VSG units compared to base, ALO, and WOA; however, the frequency and the deviation in frequency response due to dynamic condition is not encouraging. (C) 2020 ISA. Published by Elsevier Ltd. All rights reserved.
机译:在这些手稿中讨论了使用虚拟惯性来改善微电网(MG)中的瞬态和小信号稳定性的混合技术。所建立的混合方法表示鲸鱼优化算法(WOA)和蚂蚁狮子优化(ALO)算法的组合性能,它被命名为AWOALO技术。 AWOALO技术的目的是优化规范的控制参数,诸如电压的网格参数中发生的变化以及频率依赖于惯性的变化。对AWOALO技术进行了最佳地调整参数,以在变化或干扰后面具有平滑的过渡。这里,虚拟同步发生器表示逆变器的控制方法取决于发生器单元,它使用同步发电机(SG)增强系统稳定性。执行WOA以调整VSG单元的参数以获得目标函数。 WOA的搜索行为由ALO的狩猎行为进行修改。 ALO的这种狩猎行为用于实现具有较少计算复杂性的目标函数。具有VSG控制方案的AWOALO技术确保了光滑的响应,准确的性能,同时考虑到电压角偏差的约束,AWOALO方法在MATLAB / Simulink工作平台中实现,以及两种测试用例,并与各种解决方案进行比较。与各种解决方案技术相比如基础方法,蚂蚁狮子优化(ALO)和鲸类优化算法(WOA)。比较结果决定了AWOALO方法的优越性,并确认其解决问题的可能性。最后,AWOALO技术显示了基于共享功率的有希望的演示,即与基础,ALO和WOA相比,100%电源作为VSG单位提供;然而,由于动态条件导致的频率响应的频率和偏差不鼓励。 (c)2020 ISA。 elsevier有限公司出版。保留所有权利。

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