| Research Title |
TIME OF USE ELECTRICITY RATES EVALUATION FOR RESIDENTIAL CUSTOMERS IN THAILAND |
| Date of Distribution |
23 May 2019 |
| Conference |
| 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. |
| Author |
|
| Peer Review Status |
มีผู้ประเมินอิสระ |
| Level of Conference |
นานาชาติ |
| Type of Proceeding |
Full paper |
| Type of Presentation |
Oral |
| Part of thesis |
true |
| Presentation awarding |
false |
| Attach file |
|
| Citation |
0
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Publication
Journal Publication
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