Power System Resiliency and Wide Area Control Employing Deep Learning Algorithm
نویسندگان
چکیده
منابع مشابه
Wide-area Monitoring and Control for Power System Grid Security
Probably the most significant development in the future is the evolution of the EMS to a more intelligent, automated system to analyze, predict and prevent events leading to a total system collapse. The transition to a highly automated system is possible in part by the recent advances in communication technology, hardware architecture, web services and installation of synchronized phasor measur...
متن کاملReinforcement Learning Based Wide-Area Decentralized Power System Stabilizers
In this paper, the design of a real-time control framework consisting of wide-area decentralized power system stabilizers (WD-PSSs) for enhancing transient stability and oscillatory stability of power systems is investigated. The design is based on reinforcement learning methods incorporating widearea measurements. The main goal of WD-PSSs is to stabilize a power system after a disturbance lead...
متن کاملPower Differential based Wide Area Protection
Current differential based wide area protection (WAP) has recently been proposed as a technique to increase the reliability of protection systems. It increases system stability and can prevent large contingencies such as cascading outages and blackouts. This paper describes how power differential protection (PDP) can be used within a WAP and shows that the algorithm operates correctly for a...
متن کاملPower System Stability Improvement via TCSC Controller Employing a Multi-objective Strength Pareto Evolutionary Algorithm Approach
This paper focuses on multi-objective designing of multi-machine Thyristor Controlled Series Compensator (TCSC) using Strength Pareto Evolutionary Algorithm (SPEA). The TCSC parameters designing problem is converted to an optimization problem with the multi-objective function including the desired damping factor and the desired damping ratio of the power system modes, which is solved by a SPEA ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Computers, Materials & Continua
سال: 2021
ISSN: 1546-2226
DOI: 10.32604/cmc.2021.015128