粒子群优化
理论(学习稳定性)
断层(地质)
可靠性工程
可再生能源
电压
计算机科学
电力系统
数学优化
工程类
功率(物理)
控制工程
电气工程
算法
数学
机器学习
物理
量子力学
地震学
地质学
作者
Kambiz Mardanimajd,Shahram Karimi,Amjad Anvari‐Moghaddam
标识
DOI:10.1016/j.ijepes.2023.109582
摘要
The integration of renewable energies is gaining popularity as a result of their sustainability and green nature. On the other hand, aged power infrastructure not only has various issues in accommodating such resources, but also poses risks to the distribution network operation. To this aim, soft open points (SOPs) can be used for supporting distribution networks. Although SOP has been used for different purposes, the potential of SOP for increasing the voltage stability entails further study. As a result, an efficient strategy for the operation of SOPs in distribution networks is developed in this study, which considers the voltage stability index as an objective function. The developed framework is optimized using the particle swarm optimization method, which takes network, resource, and other technical limitations into account. The uncertainties of loads and renewable energies are also modeled through the scenario-based method. The suggested approach is tested on an IEEE standard distribution network under two conditions, comprising the normal and fault situations. After analyzing the various case studies and experiments, the effectiveness and applicability are verified accordingly. The findings show that SOP has a significant impact on improving voltage stability of distribution networks, throughout the normal and fault conditions.
科研通智能强力驱动
Strongly Powered by AbleSci AI