Static and dynamic aspects in bulk power system reliability evaluations

Computational framework combining static and transient power system security evaluation using uncertainties

“…A new research avenue [30][31][32] exploring protection uncertainties and Monte Carlo simulation appeared later. Several authors also proposed joint formulations tackling, both the adequacy, and the security problem [33][34][35][36][37][38][39][40][41], simultaneously. A large set of publications dealing with several other aspects of probabilistic reliability, but also useful to transient stability, were also delivered, covering a plethora of new and diversified strategies, algorithms and concepts.…”

Top-Down Composite Modeling of Bulk Power Systems

“…Solution strategies when the Markov assumption is relaxed should also be investigated, as in [6]. Associating costs with various states would enable the optimization of design and policy tradeoffs.…”

“…Composite system reliability methods are a longstanding topic of interest to power engineers [1]- [6]. These "bottom-up" methods examine a large number of possible individual component states, which increase exponentially with the number of system components.…”

A new forecasting method for system marginal prices based on power supply and demand

“…While it seems that the NN or FNN learns well the training data, they may encounter large prediction errors in the test phase. Pedregal and Trapero propose the use of the dynamic harmonic regression for forecasting the hourly price time series of electricity markets [7]. Their model belongs to the class of the unobserved components models set up as a state space system.…”