This article reviews recent works applying machine learning (ML) techniques in the context
of energy systems' reliability assessment and control. We showcase both the progress …

Preventive control actions for enhancing the transient stability of power system ensures the
system stability under a given contingency. Generation rescheduling through stability …

Contingency Constrained Optimal Power Flow (CCOPF) differs from traditional Optimal
Power Flow (OPF) because its generation dispatch is planned to work with state variables …

Optimal mitigation planning for highly disruptive contingencies to a transmission-level power
system requires optimization with dynamic power system constraints, due to the key role of …

Abstract Optimal Power Flow (OPF) is one of most important aspect in power system
operation and control. It is a non linear optimization problem based on minimization an …

When faced with uncertainty regarding potential failure contingencies, prioritizing system
resiliency through optimal control of exciter reference voltage and mechanical torque can be …

Power systems reliability management aims at taking decisions ahead in time, from several
years to a few minutes ahead, so as to facilitate the operation of the system over a future …

Optimal power flow with transient stability is a nonlinear optimization problem with algebraic
and differential equations. In this paper, using the imperialist competition algorithm as an …

پخش بار بهینه با قید پایداری گذرا یک مسأله بهینهسازی غیرخطی با معادلههای جبری و
دیفرانسیلی است. در این مقاله با بهرهگیری از الگوریتم رقابت استعماری به عنوان یک …‎