English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

This paper addresses the processes required to solve the problem of optimizing the injection of power from micro generators in electric power distribution system (SEDE) of low voltage (BT), focusing on photovoltaic solar panels (MG FV). For this purpose, the concepts and general developments presented in previous articles by the author are taken as a reference, and they are detailed, leading to two hyper-heuristics based on reasoning, with mastery in variant meta-heuristics of PSO, Forms (X-FPSO) and Fast Artificial Fish Swarm (FAFS) multi-objective. These hyper-heuristics were referred to as HY CBR X-FPSO and HY CBR (X-FPSO + FAFS) MPI, the latter being the one that improves the results compared to the first one, solving the two limitations observed at this point. The parallelization of the hyper-heuristic algorithm HY CBR (X-FPSO + FAFS) MPI is also described, in the two afore-mentioned variants, using the MPI platform. Finally, a simulation is presented on a SEDE with real MG FV BT, through both hyper-heuristic algorithms, comparing the results.

lámpsakos

Modelo hiperheurístico y simulación para la optimización de la inyección de potencia desde micro generación en sistemas eléctricos de distribución de baja tensión