Fuell cell/ Photovoltaic panels/ Wind turbines Hybrid Systems analysed through bibliometric maps

Autor: Maria Simona Raboaca, Constantin Filote, Laurentiu Dan Milici, Nicu Bizon, Elena Carcadea, Oana Vasilica Grosu
Rok vydání: 2021
Předmět:
Zdroj: 2021 13th International Conference on Electronics, Computers and Artificial Intelligence (ECAI).
DOI: 10.1109/ecai52376.2021.9515062
Popis: In this review are presented 31 hybrid power systems with their energy sources, the used strategy and the main objectives. This paper’s main objective is to highlight the most used strategy for specific systems. The most of the systems are using as main source of energy the fuel cell, photovoltaic panels and wind turbines. The most common strategies are the optimization strategy, the fuzzy logic and the power administration. All the systems are built to provide improved results, respectively better performance, optimal power, extended the renewable grid in the remote area, reduced costs, increased components lifetime, size optimization and so on. The bibliometric maps are highlighting the most important components in the system optimization: “optimization”, “energy management strategy”, “electrolyzer”, “performance”, “system”, “power”, “fuel cell”, “energy”, “strategy”, “cost”, “algorithm”, “solar PV”, “grid”, “battery”, etc. All the selected items are positioned in specific clusters determinate on the co-occurrence process identified in VOSviewer and the number of occurrences, links and the total link strength are mentioned. In conclusion for every system the energy management strategy has to be selected accordingly with the energy source, main objective, geographical positioning and available space.
Databáze: OpenAIRE