Enhancing fault-clearing algorithm for renewable-energy-based distribution systems using artificial neural networks  

作　　者：Rania G.Mohamed M.A.Ebrahim Shady H.E.Abdel Aleem 

机构地区：[1]Electrical Engineering Department,Institute of Aviation Engineering and Technology,Giza,12658,Egypt [2]Electrical Engineering Department,Faculty of Engineering at Shoubra,Benha University,Cairo,11629,Egypt

出　　处：《Clean Energy》2024年第5期97-116,共20页清洁能源（英文）

摘　　要：Integrating small and large-scale photovoltaic(PV)solar systems into electrical distribution systems has become mandatory due to increased electricity bills and the concern for limiting greenhouse gases.However,the reliable and efficient operation of PV-based distribution systems can be confronted by the intermittence and high variability of solar sources and their consequential faults.In this regard,this article suggests a moderated fault-clearing strategy based on the incremental conductance–maximum power point tracking(IC–MPPT)technique and artificial neural networks(ANNs)to enhance fault detection,localization,and restoration pro-cesses in PV-based distribution systems.The proposed strategy leverages IC–MPPT to ensure optimal power generation from the PV solar system,even in the presence of faults.By tracking the maximum power point,the algorithm maintains the performance of the system and mitigates against the impact of faults on the output power.Furthermore,an ANN is employed to improve fault detec-tion and localization accuracy.The developed ANN-based moderated fault-clearing strategy is trained using historical data and fault scenarios,enabling it to recognize fault patterns and make informed decisions through extensive simulations and comparisons with traditional fault-clearing methods.To accomplish this study,benchmarks in PV-based distribution systems are constructed and em-ployed using the MATLAB®/Simulink®software package.Moreover,to validate the efficacy of the developed ANN-based moderated fault-clearing strategy,a real case study of a 1-MW PV-based distribution system in an industrial field located in Giza governorate,Egypt,is tested and investigated.The obtained results demonstrate the effectiveness of the IC–MPPT and ANN-based moderated fault-clearing strategy in achieving faster fault detection,precise fault localization,and efficient restoration in PV solar-based dis-tribution systems while preserving maximum power extraction under small and large system disturbances.Furthermore,IC�

关 键 词：photovoltaic solar systems fault-clearing algorithm incremental conductance renewable energy artificial neural network maximum power point tracking 

分 类 号：TK01[动力工程及工程热物理] X382[环境科学与工程—环境工程] TP183[自动化与计算机技术—控制理论与控制工程]