On-Grid Photovoltaic (PV) - Battery - PLN for Smart Home System
Abstract
Electricity is one of basic human needs. However, PLN's ability to meet customer demands is hampered by its limitations. On the other hand, the sunny geographical advantage of Makassar city can be utilized as a new renewable and environmentally friendly energy source in a smart home. Smart house is a family residence that is able to synergize electricity usage based on the habits of its residents with the help of smart technology so that comfort, safety and efficiency of using electrical energy are obtained. The utilization of solar cell hybrid power – battery – PLN can be implemented in addition to meeting the needs of electricity load in the smart home, it can also contribute excess energy to fulfill off-grid building load. Monte Carlo Simulation (MCS) is carried out at the beginning of data processing by randomly generating 24-hour models of solar irradiance and smart home load requirements along with weather conditions. PLN not only takes over fulfilling the needs of the smart home load when there is less and or no sunlight and minimum battery capacity conditions, but also it will charge the battery capacity up to 100% every midnight. On average, the daily load requirement for a smart home is almost half the energy produced by PVs, which are 12,439 kW and 24,509 kW respectively. Furthermore, the smart home hybrid power is capable of producing 8,946 MW of excess energy in a year to serve the off-grid building load needs.
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Tamer Khatib, Azah Mohamed, K. Sopian, M. Mahmoud, 2013, Optimal Sizing of The Energy Sources in Hybrid PV/Diesel Systems: A case Study for Malaysia, International Journal of Green Energy, Volume 10, p 41 – 52.
Abdullah Basalamah, Tanridio SDA, Saidah Suyuti, 2020, Penggunaan Metode Linear Programming pada Optimasi Pompa Bertenaga Hybrid Generator Diesel – Sel Surya - Baterai, Jurnal Instek, Vol 5, No 1, p 121 – 128
Abdelhamid Kaabeche, Rachid Ibtiouen, 2014, Techno-Economic Optimization of Hybrid Photovoltaic/Wind/Diesel/Battery Generation in A Stand-Alone Power System, ScienceDirect, Solar Energy, Volume 103, p 171 – 182.
Amos Madhlopa, Debbie Sparks, Samantha Keen, Mascha Moorlach, Pieter Krog, Thuli Dlamini, 2015, Optimization of a PV–wind hybrid system under limited water resources, Renewal and Sustainable Energy Review, Volume 47, p. 324 – 331.
Hicham Fakham, Di Lu, Bruno Francois, 2011, Power Control Design of a battery charger in a Hybrid Active PV generator for load-following applications, IEEE Transaction on Industrial Electronics, Vol. 58, Issue. 1, p 85-94.
H. Ren, Q. Wu, W. Gao, and W. Zhou, 2016, Optimal operation of a grid-connected hybrid PV/fuel cell/battery energy system for residential applications, Energy, vol. 113, p 702-712.
Kanwarjit Singh Sandhu and Aeidapu Mahesh, 2018, Optimal sizing of PV/wind/battery Hybrid Renewable Energy System Considering Demand Side Management, International Journal on Electrical Engineering and Informatics, Volume 10, No 1.
K. Karakoulidis, K. Mavridis, D. V. Bandekas, dkk, 2011, Techno-Economic Analysis of A Stand-Alone Hybrid Photovoltaic-Diesel-Battery-Fuel Cell Power System, Renewable Energy, Volume 36, p 2238 – 2244.
Lin Xu, Xinbo Ruan, Chengxiong Mao, Buhan Zhang, and Yi Luo, 2013 An improved optimal sizing method for wind-solar-battery hybrid power system, IEEE Tranaction. on Sustainable Energy, 4(3):774–785.
M. Bashir dan J Sadeh, 2012, Optimal sizing of hybrid wind/photovoltaic/battery considering the uncertainty of wind and photovoltaic power using Monte Carlo Simulation, IEEE.
Y Nurfaidah, I P D Wibawa, dkk, Analysis of Smart House Power Savings with on-grid Photovoltaic Power System, International Conference on Engineering Technology and Innovative Researchers, IOP Publishing Ltd.
Gonzalo E. Constante-Flores dan Mahesh Illindala, 2018, Data-driven probabilistic power flow analysis for a distribution system with renewable energy sources using Monte Carlo Simulation, IEEE Transaction on Industry, Volume 55, Issue 1.
Rodolfo Dufo-Lopez, Eduardo Perez-Cebollada, dkk, 2016, Optimisation of energy supply at off-grid healthcare facilities using Monte Carlo Simulation, Energy Conversion and Management, Volume 11, p 321 – 330.
Roberto Romano, Pierluigi Siano, Mario Acone dan Vincenzo Loia, 2017, Combined Operation of Electrical Loads, Air Conditioning and Photovoltaic – Battery Systems in Smart Houses, MDPI, Aplied Science, 7, 525.
GfK Belgium Consortium, 2017, Study on residential prosumers in the European Energy Union.
Baoan Li dan Jinajun Yu, 2011, Research and Application on The Smart Home based on Component Technologies and Internet of Things, SciVerse ScienceDirect, Elsevier Ltd, 15, p 2087 – 2092.
Gerhard Leitner, Felice Ferrara, dkk, 2014, Decision Support in the Smart Home, https://www.researchgate.net/figure/Actors-and-components-in-the-smart-home_fig1_245031171, seen 23th August 2023.
Hussain Shareef, Maytham S Ahmed, dkk, 2017, Review on Home Energy Management System Considering Demand Responses, Smart Technologies, and Intelligent Controllers, IEEE Translation, doi : 10.1109/ACCESS.2018.2831917.IEEE Access
M. Kasif Rafique, Saad Ullah Khan, dkk, 2019, An Intelligent Hybrid Energy Management System for a Smart House Considering Bidirectional PowerFlow and Various EV Charging Technique, MDPI, Applied Sciences,9, 1658.
DOI: https://doi.org/10.33387/protk.v11i2.7089
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