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The methods belonging to the artificial intelligence field are becoming very popular within the power system domain. Within the literature several applications are able to be highlighted: load forecasting, power flow computing, power flow optimization, network expansion. The paper is focusing on developing a software tool based on genetic algorithms. The goal of the paper is to use it for distribution...
Nowadays there is a huge interest in developing new approaches for power system related problem solving. Generally, (meta)heuristic search methods are considered a good alternative to conventional ones. This paper aims to elaborate an original mathematical model focused on particle swarm optimization (PSO) applied for optimal power flow computing (OPF). Several practical issues are presented. One...
Nowadays, pronounced random nature renewable energy (wind, solar) penetration in power systems is growing and therefore their management tends to become a problem for the system dispatcher. Virtual power plant strategy analyzed in this paper can be a solution to be applied in cases where a random mix of renewable sources can be combined with a small proportion of the source water that is predictable...
There is a growing interest in finding new ways to solve power systems related problems. Heuristic search methods are considered a good alternative to conventional ones. The present work focuses on genetic algorithms (GA). A GA adapted for power flow solving is detailed. Some practical issues are presented.
It's very good know the interest of those that design and construct the overhead lines to attenuate the magnetic field around these, especially to earth level, because it is possible to have impact to human body. On this line one of methods there are use for reduce the magnetic field is compacting the overhead lines, such as sizing two circuits with different function on the same pole [1]. Optimizing...
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