配电网多功能相量测量单元的建立和配置以改善并行状态估计
Establishment and placement of a Multi-purpose Phasor measurement unit to improve parallel state estimation in distribution Networks
摘要：
今天，配电网中的微电网迫切需要改进，以应对经济挑战，人员损失和设备放置问题。今天，在分配系统中存在着资源分散的问题，这在环境、经济和人畜损失方面产生了许多问题。本节中最重要的挑战是在可能发生的事件（如配电网中的严重负载变化或错误）期间存在电压和频率波动。有这样一个大的问题，可以调用一个分销网络的问题，并摧毁它。因此，有必要提供一个最佳的方法，可以满足和涵盖这些挑战。为此，本文研究了配电网中多功能相量测量单元的建立和配置问题，以提高配电网并行状态估计的精度，为配电网状态估计提供了一种控制方法。该方法确定使用相量单元后内部和外部干扰发生的时间。本研究的方法是使用神经模糊方法，因为由于上述挑战，配电网络中存在不确定性，并且需要在系统中进行训练以准确部署和放置可能的错误。不会发生。在设置和放置相量测量单元时，最重要的问题是配电网中负载的适当分布。在MATLAB / Simulink环境下的仿真结果表明，根据所提出的方法的结果的改善。关键词：配电网，模糊神经网络，负荷优化分配，并行状态估计，相量测量单元。
英文摘要：
Today, microgrids in distribution networks are in dire need of improvement to cope with economic challenges, human losses, and equipment placement issues. Today, there is the issue of scattered resources in distribution systems, which has created many problems in the areas of environment, economy, and human and animal losses. The most important challenge in this section is the existence of voltage and frequency fluctuations during the occurrence of possible events such as severe load changes or errors in distribution networks. Having such a big problem can call a distribution network into question and destroy it. Therefore, it is necessary to provide an optimal method that can meet and cover these challenges. For this purpose, the present research deals with the problem of establishing and placing a multifunctional phasor measurement unit to improve the parallel state estimation in distribution networks, which offers a control approach. This approach determines the time of occurrence of internal and external disturbances after using the phasor unit. The approach of this research is to use a neural-fuzzy method because there is uncertainty in the distribution network due to the mentioned challenges, and training in the system is needed to accurately deploy and place possible errors. Do not occur. When setting up and placing the phasor measuring unit, the most important issue is the proper distribution of the load in the distribution network. The simulation results in the MATLAB / Simulink environment show the improvement of the results according to the proposed approach. Keywords: Distribution Network, Neural-Fuzzy Network, Optimal Load Distribution, Parallel State Estimation, Phasor Measurement Unit.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
