Abstract
In this work the impacts of lead acid batteries by considering renewable sources (i.e., solar and wind energies) on power system is presented. First of all, we modeled the power system by lead-acid battery in stand-alone synthetic solar and wind production model and then the suggested forecasting model will be applied on wind and solar to estimate the available output power of each units. After that, the prediction subject will be calculated that is taken as constraint status based state of charge (SOC) of the batteries. The proposed solution includes of filtering the candidate inputs, synthetic prediction model based honey bee mating optimization (HBMO). By this method, the SOC of batteries will be in appropriate range and the on-or-off switching number of wind turbines and PV modules will be reduced. The suggested model is compared with methods to show the validity of suggested strategy.
Original language | English |
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Title of host publication | Proceedings - 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2018 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781538651858 |
DOIs | |
Publication status | Published - Oct 16 2018 |
Event | 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2018 - Palermo, Italy Duration: Jun 12 2018 → Jun 15 2018 |
Other
Other | 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2018 |
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Country | Italy |
City | Palermo |
Period | 6/12/18 → 6/15/18 |
Keywords
- Feature Selection
- Forecasting
- Lead acid battery
- State of charge
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Renewable Energy, Sustainability and the Environment
- Electrical and Electronic Engineering
- Industrial and Manufacturing Engineering
- Environmental Engineering
- Hardware and Architecture