A new MEM-DOA proposal for DSM in a grid connected smart microgrid

Hamrouni, Chafaa; Bsissa, Abdessalem; Hamza, Rached; Abdelkarim, Naceur

doi:10.1109/piers.2017.8262039

Cited by 2 publications

(3 citation statements)

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“…DSM is an important part of the smart grid and the concept of DSM is to control the demand side consumption and reduce peak loads [5]. In papers [6]- [7], some methods of application of DSM in microgrid are given. In paper [6], a load shifting procedure was presented in a simulated environment of a residential infrastructure.…”

Section: B Demand Side Managementmentioning

confidence: 99%

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A Microgrid Management System Based on Metaheuristics Particle Swarm Optimization

Deng

Jiang

Hai-ya

et al. 2022

2022 6th International Conference on Smart Grid and Smart Cities (ICSGSC)

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Microgrid is playing an increasingly important role in making the utility grid more intelligent and efficient, since it can make better use of the renewable energy resources to simultaneously relieve the grid supply pressure and reduce carbon emissions. Innovations in electric technologies, information and communication technologies can facilitate better management of the power transmission and distribution in the microgrid. This paper proposes an optimization strategy, which considers distributed generations, photovoltaics and wind turbines, based on particle swarm optimization for the management of the microgrid. Simulation results demonstrate that with the optimal generation resources management and the effective use of demand side management in the microgrid, the proposed strategy can reduce electricity costs by 29.283% and 32.158% on weekdays and weekends, respectively.

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Section: B Demand Side Managementmentioning

confidence: 99%

“…Through predicting the future load patterns, various types of controllable devices were managed to reduce the peak demand of load. In paper [7], Chafaa Hamrouni et al proposed a Microgrid Energy Management-Distributed Optimization Algorithm to enhance scalability of deployment, privacy and security in the smart microgrid.…”

Section: B Demand Side Managementmentioning

confidence: 99%

A Microgrid Management System Based on Metaheuristics Particle Swarm Optimization

Deng

Jiang

Hai-ya

et al. 2022

2022 6th International Conference on Smart Grid and Smart Cities (ICSGSC)

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“…Additional sensitivity analyses were carried out to study the robustness of the ESDS algorithm [25] [26],, on PAR demand, dissatisfaction cost. First, the effect of battery capacity on consumer dissatisfaction was investigated.…”

Section: Solving Mathematical Optimization Problemsmentioning

confidence: 99%

Smart Grid Users Benefits Based on DSM Algorithm Mathematical Optimization Problems Studied

Hamrouni¹

2020

Adv. sci. technol. eng. syst. j.

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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.

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A new MEM-DOA proposal for DSM in a grid connected smart microgrid

Cited by 2 publications

References 3 publications

A Microgrid Management System Based on Metaheuristics Particle Swarm Optimization

A Microgrid Management System Based on Metaheuristics Particle Swarm Optimization

Smart Grid Users Benefits Based on DSM Algorithm Mathematical Optimization Problems Studied

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