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Content available remote Energy analysis and optimizing of hybrid WT/ PV cell in power systems
EN
The importance placed on renewable energy is growing exponentially due to rising demand for energy, concerns about the environmental impact of burning fossil fuels and fears about the world’s limited fossil fuel reserves. This study features an optimal combination of scattered production sources (wind-solar), an IEEE 33-bus system, and beta distribution to model wind speed. The load and production planning period is 24 hours. The aim of this study is to improve voltage profiles, increase reliability and reduce losses. The resulting model forecast a 39% loss-improvement in the presence of wind turbines and a 40% loss-improvement in the presence of photovoltaic cells, which highlights the role of these renewable resources in the grid.
EN
Reconstructing power systems has changed the traditional planning of power systems and has raised new challenges in Transmission Expansion Planning (TEP). Because of these reason, new methods and criteria have been formed for planning transmission in reconstructed environments. Thus, a dynamic programming was used for transmission efficiency based on multi-objective optimization in this research. In this model, investment cost, cost of density and dependability have been considered three objectives of optimization. In this paper, NSGAII multi-objective genetic algorithm was used to solve this non-convex and mixed integer problem. A fuzzy decision method has been used to choose the final optimal answer from the Pareto solutions obtained from NSGAII. Moreover, to confirm the efficiency of NSGAII multi-objective genetic algorithm in solving TEP problem, this algorithm was implemented in an IEEE 24 bus system and the gained results were compared with previous works in this field.
EN
Transitioning to renewable energy is part of the answer to, on the one hand, growing industrial development and the rising demand for energy and, on the other, environmental concerns and the need to preserve fossil fuel resources for future generations. This research focuses on the potential for integrating hydrogen storage into a highly reliable renewable energy system. The purpose of this study is to determine the potential of renewable energy in an Iranian location, in a project that looks at a power grid in various connected and disconnected scenarios involving hydrogen storage. The energy potential is identified: annual production capacity is 2218818 kW, requiring a total investment outlay of US$697,624.
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