In the paper, Markov chains in conjunction with Monte Carlo simulation are used to predict the power system security level. The new, fast and efficient method uses a Markov chain for each identified security range to track the development of security level through time, based on the forecasted and recorded data. The method has been tested on the Bosnian test power system using the recorded data on security levels during one year period. The forecasted results show a striking coincidence with the real security levels. The presented method could be incorporated in WAMS in control centers.
COBISS.SI-ID: 6879572
In this paper, a Energy-Based System Well-being Analysis framework (EBSWBA) is presented to assess the security of supply of systems containing renewable energy sources (RES), fossil-fuelled sources and electricity storage. The framework combines the advantages of the well-known System Well-being Analysis (SWBA) and Expected Energy-Not-Served (EENS) approaches, thus overcoming the weaknesses of the SWBA. The comparison of the results of classical SWBA and EBSWBA when applied to different SIPS architectures, operating schemes and load profiles demonstrates the superiority of EBSWBA over SWBA.
COBISS.SI-ID: 7200596
In this paper, energy functions that consider the action of the interline power-flow controller (IPFC) in the form of a supplement to the already-known structure-preserving energy functions were constructed. They are based on a structure-preserving frame and can be applied for an arbitrary number of IPFCs, which may consist of an arbitrary number of series branches. The developed energy functions were applied for a transient-stability assessment using the Lyapunov direct method, and they proved to be adequate.
COBISS.SI-ID: 6985300
In this paper a new approach to modeling an IPFC for power-flow calculations by applying the Newton-Raphson method is presented. The presented approach differs from the methods proposed by other authors in terms of the interpretation of the device's branches. They are considered on the basis of their currents. The effectiveness of the proposed model is compared with other models. It exhibits a faster convergence, the number of iterations is almost constant, regardless of the location, a consideration of the constraints or the selection of the controlled variable.
COBISS.SI-ID: 7065684
Matrix Pencil method allows damping estimation of swing modes from time varying signal. The method comes from the signal processing theory in telecommunications. The methods does not necessary require a power system model in order to estimate modal components composing the system's trajectory. Instead measurements or recordings of actual system's response to changes in operation can be used. This helps in determining system stability in terms of both, time required for computations and accuracy. The paper presents the method's application on the actual power system.
COBISS.SI-ID: 7281492