A Cloud-Based Multiagent System Platform for Residential Microgrids Towards Smart Grid Community

Vagdoda, Jitendra; Makwana, Darshan; Adhikaree, Amit; Faika, Tasnimun; Kim, Taesic

doi:10.1109/pesgm.2018.8586459

Cited by 8 publications

(3 citation statements)

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“…The customer's frustration is minimized by the sparse load shifting approach. The authors proposed in Reference [18] a cloud-based multi-agent (MAS) residential smart grid community network. The suggested multi agent system (MAS) is made up of microgrid agents and intelligent household agents, with the goal of relieving RMG's top load and minimizing smart home energy costs.…”

Section: Literature Review Of Theoretical Backgroundmentioning

confidence: 99%

A Novel Real-Time Electricity Scheduling for Home Energy Management System Using the Internet of Energy

et al. 2021

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This paper presents a novel scheduling scheme for the real-time home energy management systems based on Internet of Energy (IoE). The scheme is a multi-agent method that considers two chief purposes including user satisfaction and energy consumption cost. The scheme is designed under environment of microgrid. The user impact in terms of energy cost savings is generally significant in terms of system efficiency. That is why domestic users are involved in the management of domestic appliances. The optimization algorithms are based on an improved version of the rainfall algorithm and the salp swarm algorithm. In this paper, the Time of Use (ToU) model is proposed to define the rates for shoulder-peak and on-peak hours. A two-level communication system connects the microgrid system, implemented in MATLAB, to the cloud server. The local communication level utilizes IP/TCP and MQTT and is used as a protocol for the global communication level. The scheduling controller proposed in this study succeeded the energy saving of 25.3% by using the salp swarm algorithm and saving of 31.335% by using the rainfall algorithm.

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Section: Literature Review Of Theoretical Backgroundmentioning

confidence: 99%

A Novel Real-Time Electricity Scheduling for Home Energy Management System Using the Internet of Energy

et al. 2021

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“…Basically, the huge amount of data is generated by the IoT devices and clouds in daily life. Interestingly, the cloud-based multi-agent systems for microgrid is presented in [11]. In this framework, smart grid, microgrid, and satellite position estimation [12], [13], [9], [14], [15].…”

Section: Related Workmentioning

confidence: 99%

“…Basically, the huge amount of data is generated by the IoT devices and clouds in daily life. Interestingly, the cloud‐based multi‐agent systems for microgrid is presented in . In this framework, the IoT devices are used for accommodating home appliances information, and communicating between green homes and networked control system in cloud server via the internet.…”

Section: Introductionmentioning

confidence: 99%

Estimating and Controlling the Renewable Microgrid States Using IoT Infrastructure

Rana

Chen

2019

Asian Journal of Control

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This paper considers the optimal filter design issue for microgrid state estimation and stabilisation under packet loss conditions. The considered internet of things (IoT) technologies collect system state information from sensors and send control messages to actuators where they are connected over a lossy communication network. From signal processing point of view, this paper develops an optimal state estimation algorithm using the mean squared error principle. Then a feedback controller is designed under the condition of packet dropouts in the communication network. Finally, the convergence of the developed algorithm is numerically shown. The performance of the proposed schemes are demonstrated using the renewable microgrid. KEYWORDSController under lossy channel, dynamic state estimation, internet of things, microgrid, packet dropouts the IoT devices are used for accommodating home appliances information, and communicating between green homes and networked control system in cloud server via the internet. These type of Kalman filter algorithms are extensively applied in different applications such as

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A smart electricity markets for a decarbonized microgrid system

Alhasnawi,

Zanker,

Bureš

2024

Electr Eng

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A Cloud-Based Multiagent System Platform for Residential Microgrids Towards Smart Grid Community

Cited by 8 publications

References 10 publications

A Novel Real-Time Electricity Scheduling for Home Energy Management System Using the Internet of Energy

A Novel Real-Time Electricity Scheduling for Home Energy Management System Using the Internet of Energy

Estimating and Controlling the Renewable Microgrid States Using IoT Infrastructure

A smart electricity markets for a decarbonized microgrid system

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