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The growing interest on RES gives traditional power systems an opportunity to evolve towards more sustainable and environmental entities, however the viability of RES would induce stability and reliability issues in power systems. In this paper, a DC optimal power flow (OPF) algorithm considering the worst-case scenario is proposed. It accounts for uncertainties brought by loads and renewable energy...
A Population Intelligent (PI) methodology called Particle Swarm Optimization has recently been applied to power system networks with the view to minimize the computational burden of Monte Carlo Simulation in the reliability domain. This paper presents a novel Multi Objective Particle Swarm optimization (MOPSO) methodology which adapts traditional binary PSO to multi objective PSO and intelligently...
This paper proposes a new method for probabilistic transmission network expansion planning with Controlled Non-dominated Sorting Genetic Algorithm (CNSGA-II) of multi-objective meta-heuristics (MOMH). Recently, power networks increase the degree of uncertainties due to new environment of power network liberations, the emergence of renewable energy, etc. As a result, the importance of improving power...
In this paper, a new meta-heuristic method is proposed to deal with probabilistic transmission network expansion planning. As meta-heuristics, this paper makes use of tabu search (TS) that is useful for solving a combinational optimization problem. In recent years, power networks increase the degree of uncertainties due to new environment of system liberations, the emergence of renewable energy, etc...
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