Opposition-based Learning (OBL) is a new concept in machine learning, inspired from the
opposite relationship among entities. In 2005, for the first time the concept of opposition was …

The addition of distributed generation to a power system improves its performance. It makes
it more sustainable and efficient. But it also poses substantial challenges for designing a …

Placement of optimally sized distributed generator (DG) units at optimal locations in the
radial distribution networks can play a major role in improving the system performance. The …

This article has four main objectives. These are: to develop the dynamic fitness-distance
balance (d FDB) selection method for meta-heuristic search algorithms, to develop a strong …

The optimal coordination of Directional Overcurrent Relays (DOCRs) is of paramount
importance for power systems protection. The optimization model of this problem is non …

Balancing the exploration and exploitation in any nature-inspired optimization algorithm is
an essential task, while solving the real-world global optimization problems. Therefore, the …

The modern power distribution networks are very complex due to the growing integration of
distributed generators in recent years. Optimal coordination of directional overcurrent relays …

The coordination of directional overcurrent relays is most commonly studied based on a
fixed network topology within an interconnected power system. Due to its complexity and …

Emission of greenhouse gases and depletion of fossil fuel reserves are two key drivers,
which are forcing the mankind to generate the future energy demand from the renewable …

In this paper, coordination strategy that considers using user defined characteristics for the
inverse time overcurrent relays is proposed. Typically, the coordination between relays …