Proceedings of the International Conference of CELSciTech 2019 - Science and Technology track (ICCELST-ST 2019)

Design of Hybrid System Power Management Based on Load Demand Using Operational Control System

Authors
Zulfatman Has, Fachmy Faizal, Nurhadi
Corresponding Author
Zulfatman Has
Available Online December 2019.
DOI
https://doi.org/10.2991/iccelst-st-19.2019.9How to use a DOI?
Keywords
operational control system, artificial neural network, hybrid system, load demand, energy management
Abstract
Renewable energy is a limited energy source that involves of sunshine, wind, and water. It’s normally used as sources of renewable power plants. Despite of its advantages, these power plants also contribute some disadvantages, such as high generation costs, highly dynamic behavior, etc. The disadvantages are being raised due to instability of the energy sources (RER). This study is aimed to design power management of a hybrid system based on operational control system based Artificial Neural Network (ANN) based on load demand. In this study, Power Management of Hybrid System used 3 power plants: Photovoltaic (PV), Wind Power, and Micro Hydro Power Plant (MHPP), while Battery was employed as storage system. Main focus of the work was to determine the activation of each plant using ANN method to fulfill the load demand. Matlab Simulink was employed to develop and simulate the ANN on the system. From results of simulation it can be concluded that ANN can reach target accuracy level in around 80%. When the entire plant was interconnected, the ANN experienced a misreading due to the voltage drop in each generator that affected input of the ANN.
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This is an open access article distributed under the CC BY-NC license.

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Volume Title
Proceedings of the International Conference of CELSciTech 2019 - Science and Technology track (ICCELST-ST 2019)
Series
Advances in Engineering Research
Publication Date
December 2019
ISBN
978-94-6252-852-9
ISSN
2352-5401
DOI
https://doi.org/10.2991/iccelst-st-19.2019.9How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Zulfatman Has
AU  - Fachmy Faizal
AU  - Nurhadi
PY  - 2019/12
DA  - 2019/12
TI  - Design of Hybrid System Power Management Based on Load Demand Using Operational Control System
BT  - Proceedings of the International Conference of CELSciTech 2019 - Science and Technology track (ICCELST-ST 2019)
PB  - Atlantis Press
SP  - 44
EP  - 49
SN  - 2352-5401
UR  - https://doi.org/10.2991/iccelst-st-19.2019.9
DO  - https://doi.org/10.2991/iccelst-st-19.2019.9
ID  - Has2019/12
ER  -