Controlling the renewable microgrid using semidefinite programming technique

Rana, Masud; Li, Li; Su, Steven W.

doi:10.1016/j.ijepes.2016.06.004

Cited by 35 publications

(21 citation statements)

References 39 publications

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Section: Fundamental Of Iot In Microgridsmentioning

confidence: 99%

“…It can be seen that all surrounding electronic devices to facilitate our daily life operations are connected to the IoT network and can be monitored as well as controlled remotely [35]. Specifically, the IoT embedded sensors and actuators are integrated into the physical systems such as automated vehicles and microgrids [2], [36], [3]. Technically, the sensing information by IoT devices is transmitted to the control centre through different communication topologies such as ZigBee, Internet and WiFi [37], [38], [39], [40].…”

Section: Fundamental Of Iot In Microgridsmentioning

confidence: 99%

“…(18) Assumption: For steady state case and similar to [53], [52], it assumes that E[v k v ′ k ] = I, i.e., constant time-invariant value. Using this assumption, (18) can be written as follows [36]: P = (A + BD)P(A + BD) ′ + Q. (19) If there exists a stabilising gain D then inequality A cl XA cl − X + Q < 0 hold to minimise error [52], [54], where A cl is the closed-loop system state matrix and P > 0.…”

Section: Controller Design Considering Unreliable Communication Networkmentioning

confidence: 99%

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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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Section: Fundamental Of Iot In Microgridsmentioning

confidence: 99%

Section: Fundamental Of Iot In Microgridsmentioning

confidence: 99%

Section: Controller Design Considering Unreliable Communication Networkmentioning

confidence: 99%

See 1 more Smart Citation

Estimating and Controlling the Renewable Microgrid States Using IoT Infrastructure

Rana

Chen

2019

Asian Journal of Control

Self Cite

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“…However, still one of the lowest in the world-but access often amounts to just a few hours each day [22]. According to the Power System Master Plan (PSMP), Bangladesh electricity demand was made based on 7 % GDP growth rate in 2010 and this GDP growth rate requires investment 38 % of GDP by 2021 [23]. After the increasing access and attain economic development, its rate has been increased.…”

Section: Energymentioning

confidence: 99%

“…After the increasing access and attain economic development, its rate has been increased. Based on this study the peak demand would be about 17,304 MW in FY2020 and 25,199 MW in 2025 [22][23][24][25][26][27] that has been given through Figure 2. …”

Section: Energymentioning

confidence: 99%