Modelling of demand response for utility's loac forecasting

Lokhande, Smita; Menon, Vishnu; Bichpuriya, Yogesh

doi:10.1109/eem.2017.7981985

Cited by 2 publications

(1 citation statement)

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“…Until now, low or no information was given to the end-users regarding the transactions in the market. With the increasing penetration of the Distributed Generation (DG) in the grid, namely solar and wind, the prior paradigm is no longer validthe generation follows and satisfies the consumption needs [2]. Instead, the demand side must adapt their needs to the available production since the behavior from the renewable-based technologies is intermittent [3].…”

Section: Introductionmentioning

confidence: 99%

Managing Smart City Power Network by Shifting Electricity Consumers Demand

Silva¹,

Faria²,

Vale

2022

Lecture Notes in Networks and Systems

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Demand Response (DR) concept, introduced by the Smart Grid paradigm, is presented as one of the main solutions to mitigate the effects of the intermittency of Distributed Generation sources in the network. With this, the consumer's role in the energy market is empowered and their flexibility is crucial. The technology advances allow bidirectional communication providing signals to the active consumers, given by the entity manager, participating in DR events to alleviate problems in the grid. The authors proposed a methodology, resorting to load shifting, to lessen voltage limit violations in some points of the grid. After the detention, the DR event is triggered and the small resources are scheduled, requesting a reduction to the active consumers. The authors believe that uncertainty in the response must be considered so, the willingness and availability from the active community are contemplated on the problem. The results show the necessity of pondering consumer behavior.

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Section: Introductionmentioning

confidence: 99%