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Analysis of possible measures for peak demand reduction in a smart grid with high penetration of photovoltaics and electric vehicles in Thailand in a Scenario up to 2040

Authors: Tamaneewan, Dechawat;

Analysis of possible measures for peak demand reduction in a smart grid with high penetration of photovoltaics and electric vehicles in Thailand in a Scenario up to 2040

Abstract

Global electricity demand is increasing every year. New services appear on the market in order to make our daily life easier. Decarbonization in transport sector makes electric vehicles more popular. Those electric vehicles are considered new demand in electricity sector. New power plants are to be built in order to serve those increasing demand. Due to climate change and global warming, many countries tend to increase the share of renewable energy. Those renewable power plants such as wind and photovoltaic tend to be, not only unpredictable, but also, distributed generation. They tend to be a number of small-scale power plants which are installed close to the loads in order to reduce the transmission losses. This high number of small-scale power plants makes it more challenging to manage. With all these challenges, the electrical grid must be smarter in order to cope with the increasing demand and also be able to balance between power demand side and power supply side. It should be monitored and be able make real-time adjustment in order to deliver electricity efficiently with standard power security and power quality to consumers.There are various types of smart grid technologies that can contribute directly to the reduction of electricity production cost. The reduction of peak demand is the key. Smart grid technologies such as Home energy management system, utility-scale battery storage system, and vehicle-to-grid are investigated in this master thesis in order to reduce the peak demand.

Related Organizations
Keywords

Photovoltaics, Peak Demand Reduction, Smart Grid, Thailand, Electric Vehicles

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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Average