2012 ©
Journal Publication
Date of Distribution 23 May 2019 
     Title of the Conference The 16th International Conference of Young Scientists on Energy Issues (CYSENI 2019) 
     Organiser Lithuanian Energy Institute 
     Conference Place Lithuanian Energy Institute 
     Province/State Kaunas, Lithuania 
     Conference Date 23 May 2019 
     To 24 May 2019 
Proceeding Paper
     Volume 2019 
     Issue 16 
     Page 204-213 
     Editors/edition/publisher Lithuanian Energy Institute 
     Abstract At present, solar energy plays an important role in electrical grid. Due to its simple installation and reasonable cost of devices, trend of electricity generation by utilizing solar photovoltaic (PV) considerably increases leading to reduction of electric energy consumption from utility grid. Moreover, in Thailand, the government has an incentive to support electricity generation from solar PV by price adder to reduce dependence of fossil fuel. For these reasons, power demand in daytime and electric energy consumption seem to be reduced while power demand in night time still grows. The time-of-use (TOU) rate is one of the price-based demand response programs that widely used to offer electricity price rate for each time period in order to persuade customers to shift their power usage at peak demand period to off-peak demand period. This paper proposes a method for optimizing TOU rate and electricity consumption to minimize peak load, load variation and total customer’s energy cost. The genetic algorithm (GA) is employed to solve this optimization problem. The proposed TOU rate are classified into three rates based on time period consisting of peak load, mid-peak load, and off-peak load while the probability of customers to change their electricity consumption behavior is modeled by using the economic price elasticity of demand model. The numerical case studies will be performed on residential customers of provincial electricity authority (PEA) of Thailand. The TOU rate from the proposed method can reduce peak load, load variation, and total customer’s energy cost which may convince the customers to change their electricity consumption behavior. 
605040120-6 Mr. ATITEP SUKAWATTANAPORNKUL [Main Author]
Engineering Master's Degree

Peer Review Status มีผู้ประเมินอิสระ 
Level of Conference นานาชาติ 
Type of Proceeding Full paper 
Type of Presentation Oral 
Part of thesis true 
Presentation awarding false 
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