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Algorithm for Demand Response to Maximize the Penetration of Renewable Energy

Hadi, Abdullah Al ; Silva, Carlos A. Santos ; Hossain, Eklas ; Challoo, Rajab

IEEE access, 2020, Vol.8, p.55279-55288 [Periódico revisado por pares]

Piscataway: IEEE

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Título:
Algorithm for Demand Response to Maximize the Penetration of Renewable Energy
Autor: Hadi, Abdullah Al ; Silva, Carlos A. Santos ; Hossain, Eklas ; Challoo, Rajab
Assuntos: Air conditioning ; Algorithms ; Alternative energy sources ; Batteries ; Building automation system ; Buildings ; demand response ; Demand side management ; distributed energy system ; Distributed generation ; Electric charge ; Energy consumption ; Energy efficiency ; Energy management ; Energy storage ; Green buildings ; intelligent building ; Lead acid batteries ; Load management ; Peak load ; Photovoltaic cells ; Power generation ; Production ; renewable energy ; Renewable energy sources ; Renewable resources ; State of charge ; Uninterruptible power supplies ; Wind turbines ; zero energy building
É parte de: IEEE access, 2020, Vol.8, p.55279-55288
Descrição: Buildings are becoming smarter through the deployment of intelligent and energy-efficient technologies that reduce energy consumption while making buildings easier to manage and operate. Demand for lighting systems, efficient heating, ventilation and air conditioning (HVAC), as well as other types of hardware such as controls and sub-meters, is growing rapidly that needs more attention in terms of the energy efficiency. Moreover, the energy management of micro-generation or poly-generation system has always been very complex. Keeping the balance between demand and production is a challenging task for researchers. This paper investigates a simple yet very effective and intelligent demand response algorithm to mitigate the intermittency problem, providing an uninterrupted power supply to the users. The developed algorithm is fully capable of balancing the consumption and the production by controlling the user pre-defined load patterns that is based on the state of charge (SOC) of the storage system. The algorithm is tested on a microgrid system that consists of different loads, six photovoltaic (PV) solar panels, a small wind turbine system, and a set of lead-acid battery banks. The experimental result shows the maximum use of renewable energy while reducing the peak demand, cost of end-users and low or no carbon emissions. To achieve a significant reduction in energy consumption as well as to keep the balance between production and demand, this algorithm can be implemented for the efficient use of intermittent renewable energy sources.
Editor: Piscataway: IEEE
Idioma: Inglês

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Algorithm for Demand Response to Maximize the Penetration of Renewable Energy

Hadi, Abdullah Al ; Silva, Carlos A. Santos ; Hossain, Eklas ; Challoo, Rajab

Piscataway: IEEE

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