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- Title
Embedding quasi-static time series within a genetic algorithm for stochastic optimization: the case of reactive power compensation on distribution systems.
- Authors
Lujano-Rojas, Juan M.; Zubi, Ghassan; Dufo-López, Rodolfo; Bernal-Agustín, José L.; Atencio-Guerra, José L.; Catalão, João P. S.
- Abstract
This paper presents a methodology for the optimal placement and sizing of reactive power compensation devices in a distribution system (DS) with distributed generation. Quasi-static time series is embedded in an optimization method based on a genetic algorithm to adequately represent the uncertainty introduced by solar photovoltaic generation and electricity demand and its effect on DS operation. From the analysis of a typical DS, the reactive power compensation rating power results in an increment of 24.9% when compared to the classical genetic algorithm model. However, the incorporation of quasi-static time series analysis entails an increase of 26.8% on the computational time required.
- Subjects
QUASISTATIC processes; PHOTOVOLTAIC power generation; GENETIC algorithms; STOCHASTIC control theory; ELECTRIC power consumption
- Publication
Journal of Computational Design & Engineering, 2020, Vol 7, Issue 2, p177
- ISSN
2288-4300
- Publication type
Article
- DOI
10.1093/jcde/qwaa016