Smart Grid Users Benefits Based on DSM Algorithm Mathematical Optimization Problems Studied
Volume 5, Issue 4, Page No 99-104, 2020
Author’s Name: Chafaa Hamrouni1,2,a)
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1Department of Computer Sciences, Khurma University College, Taif University, Khurma, 2935, Kingdom of Saudi Arabia
2Research Groups on Intelligent Machines Laboratory, National School of Engineering of Sfax (ENIS), Sfax University, Sfax, 3038, Tunisia
a)Author to whom correspondence should be addressed. E-mail: chafa.hamrouni.tn@ieee.org
Adv. Sci. Technol. Eng. Syst. J. 5(4), 99-104 (2020); 
DOI: 10.25046/aj050413
Keywords: Distributed Energy Storage, Convex Programming, Electric Vehicle, Demand Response, Distributed Energy Generation, Emend Side Management, DMES, Daily Maximum Energy Scheduling, Distributed Sources Management
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The purpose of this research paper is to demonstrate that optimization of energy consumption, distributed generation and storage contribute towards mutually beneficial and satisfactory Demand Side Management algorithms that can be installed into consumer smart meters or in Home Energy Storage. A new solution based on an Energy Scheduling and Distributed Storage (ESDS) and Microgrid Energy Management Distributed Optimization Algorithm Demand Side Management (MEM-DOA DSM) algorithms Microgrid Energy Management Distributed Optimization Algorithm Demand Side Management that offers benefits to consumers, utility providers, policy makers and the environment Smart grid, Demand Side Management and mathematical optimization techniques which were studied. A successful development operation of a Demand Side Management Algorithms is made by using appropriate mathematical programming methods depending on the nature of their objective functions, tests results are accomplished.
Received: 26 April 2020, Accepted: 21 June 2020, Published Online: 12 July 2020
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