TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
Stochastic Gradient Descent Optimization Model for Demand Response in a Connected Microgrid |
| 영문제목(English Title) |
Stochastic Gradient Descent Optimization Model for Demand Response in a Connected Microgrid |
| 저자(Author) |
Geetha Sivanantham
Srivatsun Gopalakrishnan
|
| 원문수록처(Citation) |
VOL 15 NO. 12 PP. 0097 ~ 0115 (2021. 12) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Smart power grid is a user friendly system that transforms the traditional electric grid to the one that operates in a co-operative and reliable manner. Demand Response (DR) is one of the important components of the smart grid. The DR programs enable the end user participation by which they can communicate with the electricity service provider and shape their daily energy consumption patterns and reduce their consumption costs. The increasing demands of electricity owing to growing population stresses the need for optimal usage of electricity and also to look out alternative and cheap renewable sources of electricity. The solar and wind energy are the promising sources of alternative energy at present because of renewable nature and low cost implementation. The proposed work models a smart home with renewable energy units. The random nature of the renewable sources like wind and solar energy brings an uncertainty to the model developed. A stochastic dual descent optimization method is used to bring optimality to the developed model. The proposed work is validated using the simulation results. From the results it is concluded that proposed work brings a balanced usage of the grid power and the renewable energy units. The work also optimizes the daily consumption pattern thereby reducing the consumption cost for the end users of electricity. |
| 키워드(Keyword) |
Smart grid
Demand Response
Stochastic dual descent
renewable energy sources
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| 파일첨부 |
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