基于人工神经网络的逆变器并联功率合理分担增强下垂技术分析

Mayank Rawal, S. Singh, M. Rawat, Tripurari Nath Gupta
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引用次数: 2

摘要

微电网是近年来在大型电力系统中部署和控制分布式发电(dg)的最有效方法。在孤岛模式下,微电网维持恒频恒压以实现连续负荷分担是困难的。逆变器模块同步处理是提高微电网逆变器稳定性、效率和冗余度的一种解决方案。自主微电网的主要目标是在负荷转移期间保持电压水平正常。孤岛模式可以理解下垂控制中等效dg的负载分担,并实现了一种增强的下垂控制方法。然后,在MATLAB/SIMULINK中对孤岛模式下的两个逆变器进行了仿真。实验结果表明了该控制方案的可行性和精度。
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Analysis of ANN Based Enhanced Droop Technique for Appropriate Power Sharing of Parallel Connecting Inverters
Microgrid has recently emerged as the most effective approach for deploying and controlling distributed generation (DGs) in a vast power system. In the microgrid, maintaining constant frequency and voltage for continuous load-sharing is difficult in island mode. Simultaneous inverter module processing is a solution for improving inverter stability, efficiency, and redundancy in microgrids. An autonomous microgrid's key aim is to keep the voltage level normal during a load shift. Island mode can understand the load sharing of equivalent DGs in Droop control and an Enhanced Droop control approach is also executed. And then, The simulation of two inverters in island mode was implemented in MATLAB/SIMULINK. Additionally, the findings show the feasibility and precision of the control scheme.
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