考虑风力不确定性的负荷增加、偶然性约束和风积分的最优潮流应用

2022 Saudi Arabia Smart Grid (SASG) Pub Date : 2022-12-12 DOI:10.1109/SASG57022.2022.10200178

Mohammad Albahlal, Abdulaziz Alshalawi

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引用次数: 0

摘要

电力系统经历了许多变化和具有挑战性的条件，如负荷增加和容量损失(意外事件)。本文将实验IEEE 14总线系统在负荷增加、N-1偶然性和风穿透下的行为。优化方法采用差分进化算法，潮流技术采用快速解耦技术和高斯-塞德尔技术。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Optimal Power Flow Application On Load Increase, Contingency Constraint And Wind Integration Considering Uncertainty Of Wind

Power systems experience many changing and challenging conditions, such as load increases and capacities losses (contingences). This paper will experiment the IEEE 14 bus system behavior under load increase, N-1 contingency and wind penetrations. The optimization method used is the Differential evolution algorithm, and the power flow techniques are Fast-Decoubled and Gauss-Seidel.

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2022 Saudi Arabia Smart Grid (SASG)

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