Transmission network expansion planning (TNEP) is an important component of power system planning that its task is to minimize the network construction and operational cost while satisfying the demand increasing, imposed technical and economic conditions. Up till now, various methods have been presented to solve the static transmission network expansion planning (STNEP) problem. But in all of t...

Despite numerous research efforts of the past 40 years in the area of distribution expansion, a clear definition of the problem, and a truly multistage formulation that addresses practical concerns is yet to be developed. In this paper, the problem is clearly defined and analyzed from a practical point of view. A directed graph minimum edge cost network flow modeling of the problem for a truly ...

In this note we present a series expansion of inverse moments of a non-negative discrete random variate in terms of its factorial cumulants, based on the Poisson-Charlier expansion of a discrete distribution. We apply the general method to the positive binomial distribution and obtain a convergent series for its inverse moments with an error residual that is uniformly bounded on the entire inte...

Currently, distribution systems are continuously evolving towards modern and flexible structures while integrating promising renewable energy resources (RERs). In this regard, an optimal network constraint-based expansion planning model combined with integration framework of intermittent RERs is proposed in work to improve the topological flexibility networks (DNs). Specifically, best investmen...

Medium-voltage distribution network expansion planning involves finding the most economical adjustments of both the capacity and the topology of the network such that no operational constraints are violated and the expected loads, that the expansion is planned for, can be supplied. This paper tackles this important real-world problem using realistic yet computationally feasible models and, for ...

Mobile robots are essential tools for gathering knowledge of the environment and monitoring areas interest as well industrial assets. Informative Path Planning methodologies have been successfully applied making able to autonomously acquire information explore unknown surroundings. Rapidly-exploring Information Gathering approaches validated in real-world applications, proving they way go when ...