Implementation of energy management of a microgrid using HMAS

Legha, Mahdi Mozaffari; Farjah, Ebrahim

doi:10.1109/sgc.2018.8777876

Cited by 3 publications

(2 citation statements)

References 23 publications

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“…The proposed system enables users to track, modify, and control response loads dynamically through a mobile application. In [16], a multi-agent system (MAS) is proposed for incentive-based load management in MGs, implemented using the Java Agent Development Environment (JADE). Another study [17] has utilized the IoT technology to propose a DSM approach that considers load priorities and user preferences, effectively managing the operation of various appliances to keep total consumption within a specified threshold.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The importance of energy conservation lies in its impact on reducing energy prices. Various innovations have been implemented in residential settings, falling into two main Energies 2023, 16, 4957 2 of 26 categories, namely power production systems and consumption-cutting technologies. While the installation of microgeneration units at homes is a viable option, utilizing existing infrastructure proves to be more cost-effective and reliable.…”

Section: Introduction 1motivationmentioning

confidence: 99%

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Energy Internet-Based Load Shifting in Smart Microgrids: An Experimental Study

Jasim

Mohseni

et al. 2023

Energies

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This study investigated a grid-connected smart microgrid (MG) system integrating solar photovoltaic (PV) panels and a battery energy storage system (BESS) as distributed energy resources (DERs) to locally serve residential loads. The load-shifting demand-side management (DSM) technique was employed to effectively manage the load appliances. The proposed load-shifting algorithm relies on minimum price incentives to allow customers to allocate their load appliances economically during minimum price periods. The algorithm considers the waiting times and minimum tariff periods for appliances, calculates precise operating durations for each appliance, and prioritizes powering the appliances from the MG first, followed by the main grid. The system comprises two non-shiftable and three shiftable loads. When the MG power is insufficient to activate all shiftable loads, the system transfers the remaining unsupplied shiftable appliances to periods with low-priced energy. The Energy Internet concept is adopted to manage energy and monitor usage when a customer is unable to check the accuracy of their energy meter by supervising the system’s features on-site. The proposed comprehensive system enables load management, continuous monitoring, customer awareness, and energy cost saving. Six cases were studied, both numerically and experimentally, with varying MG power generation and load pre-scheduling periods, with and without DSM application. In all adopted cases, the implemented system save energy costs by at least 50%.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introduction 1motivationmentioning

confidence: 99%