2022
DOI: 10.3390/en15217850
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Optimal Multi-Objective Placement and Sizing of Distributed Generation in Distribution System: A Comprehensive Review

Abstract: For over a decade, distributed generations (DGs) have sufficiently convinced the researchers that they are the economic and environment-friendly solution that can be integrated with the centralized generations. The optimal planning of distributed generations requires the appropriate location and sizing and their corresponding control with various power network types to obtain the best of the technical, economical, commercial, and regulatory objectives. Most of these objectives are conflicting in nature and req… Show more

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Cited by 27 publications
(7 citation statements)
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References 233 publications
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“…The integration of DG brings to light the need for revised regulatory frameworks to accommodate its growth [160,161], with the strategic considerations for regulatory compliance and environmental and safety impacts discussed in [105]. This reveals the intricate relationship between DG strategies and regulatory standards, which is essential for the evolving power distribution scene.…”
Section: Regulatory and Compliance Planningmentioning
confidence: 99%
“…The integration of DG brings to light the need for revised regulatory frameworks to accommodate its growth [160,161], with the strategic considerations for regulatory compliance and environmental and safety impacts discussed in [105]. This reveals the intricate relationship between DG strategies and regulatory standards, which is essential for the evolving power distribution scene.…”
Section: Regulatory and Compliance Planningmentioning
confidence: 99%
“…The resolution of the fundamental problems is a need for the restoration of power system. [2][3][4] An effective approach to overcoming the difficulties of situating energy production systems near to the demand is using distributed generators (DGs), especially based-renewable energy sources (RESs). [5][6][7][8] DGs are technologies that are distributed, flexible, and more adaptable and located near to the load.…”
Section: Tionmentioning
confidence: 99%
“…Market mechanisms allow for optimizing the process of choosing the point of connecting a microgrid to the distribution network while taking into account spatial and power parameters. Spatial modeling enables the detection of useful patterns in the data space that are not obvious to their users, with such patterns used for electricity consumption forecasting linked to specific locations [114]. This allows for the application of local marginal pricing, a mechanism for using market electricity prices to manage power grid infrastructure congestion.…”
Section: Choosing Microgrid Connection Pointsmentioning
confidence: 99%