当前位置: X-MOL 学术IETE Tech. Rev. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Assessment of Power System Security for Different Bus Systems through FVSI/RFVSI and Fuzzy Logic Approaches
IETE Technical Review ( IF 2.5 ) Pub Date : 2022-02-06 , DOI: 10.1080/02564602.2022.2028587
Swasti Bachan Panda 1 , Sanjeeb Mohanty 1
Affiliation  

A power grid in a nation or continent integrates utilities by generating stations and loads in order to meet power requirements. When such colossal power systems are involved in the transfer of power, the voltage stability issue typically crops up. Voltage collapse may lead to blackouts. Blackouts can only be reduced by focusing on the steady-state and dynamic operation of power systems. A possible solution may be to increase the power system infrastructure in order to endure these blackouts. Therefore, we need to distinguish the weak and less reliable buses or lines as soon as possible in the operation of the power system so that necessary actions can be taken for smooth operation or maintaining steady-state equilibrium. The weak elements may suffer outages, and that may lead to cascading outages. In this study, contingency ranking is carried out using two evaluation approaches, namely a pre-developed Fast Voltage Stability Index (FVSI) and a new Reduced Fast Voltage Stability Index (RFVSI) or the classical approach and the soft computing approach based on Fuzzy Logic (FL). The methods have been used for different bus systems such as IEEE-14, IEEE-30, and a practical Indian 62 bus system. The RFVSI is a reduced and faster version of FVSI. The outcomes of the two approaches were compared. It is found that the Fuzzy Logic (FL) approach computes the contingency ranking faster compared to the classical approaches, whereas the classical approach based on the RFVSI method calculates more correctly the contingencies and reliable results are produced.



中文翻译:

通过 FVSI/RFVSI 和模糊逻辑方法评估不同母线系统的电力系统安全性

一个国家或大陆的电网通过发电站和负载整合公用事业以满足电力需求。当这种庞大的电力系统参与电力传输时,电压稳定性问题通常会突然出现。电压崩溃可能导致停电。只有关注电力系统的稳态和动态运行才能减少停电。一个可能的解决方案是增加电力系统基础设施以承受这些停电。因此,我们需要在电力系统运行中尽快区分出弱的和不太可靠的母线或线路,以便采取必要的措施来平稳运行或保持稳态平衡。弱元素可能会遭受中断,这可能会导致级联中断。在这项研究中,应急排序使用两种评估方法进行,即预先开发的快速电压稳定指数(FVSI)和新的简化快速电压稳定指数(RFVSI)或经典方法和基于模糊逻辑(FL)的软计算方法。这些方法已用于不同的总线系统,例如 IEEE-14、IEEE-30 和实用的印度 62 总线系统。RFVSI 是 FVSI 的精简版和更快版。比较了两种方法的结果。结果发现,与经典方法相比,模糊逻辑 (FL) 方法可以更快地计算意外事件排名,而基于 RFVSI 方法的经典方法可以更正确地计算意外事件并产生可靠的结果。即预先开发的快速电压稳定指数(FVSI)和新的简化快速电压稳定指数(RFVSI)或经典方法和基于模糊逻辑(FL)的软计算方法。这些方法已用于不同的总线系统,例如 IEEE-14、IEEE-30 和实用的印度 62 总线系统。RFVSI 是 FVSI 的精简版和更快版。比较了两种方法的结果。结果发现,与经典方法相比,模糊逻辑 (FL) 方法可以更快地计算意外事件排名,而基于 RFVSI 方法的经典方法可以更正确地计算意外事件并产生可靠的结果。即预先开发的快速电压稳定指数(FVSI)和新的简化快速电压稳定指数(RFVSI)或经典方法和基于模糊逻辑(FL)的软计算方法。这些方法已用于不同的总线系统,例如 IEEE-14、IEEE-30 和实用的印度 62 总线系统。RFVSI 是 FVSI 的精简版和更快版。比较了两种方法的结果。结果发现,与经典方法相比,模糊逻辑 (FL) 方法可以更快地计算意外事件排名,而基于 RFVSI 方法的经典方法可以更正确地计算意外事件并产生可靠的结果。这些方法已用于不同的总线系统,例如 IEEE-14、IEEE-30 和实用的印度 62 总线系统。RFVSI 是 FVSI 的精简版和更快版。比较了两种方法的结果。结果发现,与经典方法相比,模糊逻辑 (FL) 方法可以更快地计算意外事件排名,而基于 RFVSI 方法的经典方法可以更正确地计算意外事件并产生可靠的结果。这些方法已用于不同的总线系统,例如 IEEE-14、IEEE-30 和实用的印度 62 总线系统。RFVSI 是 FVSI 的精简版和更快版。比较了两种方法的结果。结果发现,与经典方法相比,模糊逻辑 (FL) 方法可以更快地计算意外事件排名,而基于 RFVSI 方法的经典方法可以更正确地计算意外事件并产生可靠的结果。

更新日期:2022-02-06
down
wechat
bug