Multi-Objective Optimization for Demand Response Management

Ray, Pravat Kumar; Nandkeolyar, Shobhit; Subudhi, Bidyadhar; Korkua, Suratsavadee K.

doi:10.1109/icit48102.2019.00028

Cited by 2 publications

(1 citation statement)

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“…In [147], SPEA-II is used in demand response management (DRM) to meet the peak load demand and decreasing customer expenditure. In [148], a multi-level algorithm is proposed to optimize the revenue and expense while preserving the quality of service (QoS) of the data center and power network stability. The proposed algorithm uses SPEA-II for the multi-objective constrained optimization problem.…”

Section: C32 Direct Aooroachmentioning

confidence: 99%

A Comprehensive Review of Control Strategies and Optimization Methods for Individual and Community Microgrids

et al. 2022

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Section: C32 Direct Aooroachmentioning

confidence: 99%

A Comprehensive Review of Control Strategies and Optimization Methods for Individual and Community Microgrids

et al. 2022

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A Comprehensive Review on Power-Quality Issues, Optimization Techniques, and Control Strategies of Microgrid Based on Renewable Energy Sources

Hernández-Mayoral,

Madrigal-Martínez,

Mina-Antonio

et al. 2023

Sustainability

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Microgrids (MGs) are systems that cleanly, efficiently, and economically integrate Renewable Energy Sources (RESs) and Energy Storage Systems (ESSs) to the electrical grid. They are capable of reducing transmission losses and improving the use of electricity and heat. However, RESs presents intermittent behavior derived from the stochastic nature of the renewable resources available on site. This can cause power-quality issues throughout the electrical grid, which can be solved by different optimization techniques and/or control strategies applied to power converters. This paper offers a detailed review of the literature regarding three important aspects: (i) Power-quality issues generated in MGs both in islanded mode and grid-connected mode; (ii) Optimization techniques used in the MGs to achieve the optimal operating conditions of the Energy Management System (EMS); and (iii) Control strategies implemented in the MGs to guarantee stability, mitigation of power-quality issues, power balance, and synchronization with the grid. It is worth mentioning that in this paper, we emphasize hybrid MGs (HMGs) since they combine the benefits of AC–MGs and DC–MGs while increasing system reliability. As the utility grid moves toward an optimal design of MG structures, this paper will serve as a foundation for future research, comparative analysis, and further development of novel techniques regarding HMGs.

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Multi-Objective Optimization for Demand Response Management

Cited by 2 publications

References 10 publications

A Comprehensive Review of Control Strategies and Optimization Methods for Individual and Community Microgrids

A Comprehensive Review of Control Strategies and Optimization Methods for Individual and Community Microgrids

A Comprehensive Review on Power-Quality Issues, Optimization Techniques, and Control Strategies of Microgrid Based on Renewable Energy Sources

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