Multiagent systems application for the smart grid protection

Shobole, Abdulfetah; Wadi, Mohammed

doi:10.1016/j.rser.2021.111352

Cited by 56 publications

(8 citation statements)

References 73 publications

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“…In problems related to multi-agent networked systems, subjects such as consensus, algebraic connectivity of complex networks, dynamic graphs, sensor fusion, optimization-based cooperative control, consensus-based belief propagation in Bayesian networks, random networks, the collective behaviour of swarms and flocks, formation control for multi-robot systems, and synchronization of coupled oscillators have created a tremendous surge of interest among researchers [26][27][28][29]. In multi-agent dynamic systems, consensus means reaching an agreement about a certain quantity that depends on the condition of all agents.…”

Section: Distributed Consensus Algorithm Local Control Protocol or Vo...mentioning

confidence: 99%

Dynamic wide‐area cooperative protection: A new approach

Koloushani,

Taher

2023

IET Generation Trans & Dist

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This paper introduces a new dynamic wide‐area cooperative protection based on cooperative control of distributed multi‐agent systems and graph theoretical methods. For power system cooperative protection, a new voting method is designed that manages each agent's cooperation according to each protection area. Cooperative protection areas work together and make a wide area of cooperative protection for the specific protection scheme. As the power system configuration varies, the voting management and the wide‐area cooperative protection dynamically change. The proposed protection method decisions are collective, while a centralized master does not exist, and local information is used. A fault detection code and a wide‐area fault detection code are presented for fault detection. The suggested dynamic wide‐area cooperative protection scheme is tested on an IEEE 39‐bus test system. The proposed protection performance is studied as backup protection for distance relays during normal, stable power swings, unstable power swings, and load encroachment conditions.

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Section: Distributed Consensus Algorithm Local Control Protocol or Vo...mentioning

confidence: 99%

Dynamic wide‐area cooperative protection: A new approach

Koloushani,

Taher

2023

IET Generation Trans & Dist

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“…Besides, the industrial Internet of Things (IoTs) has become a significant focus for the next‐generation smart industry, which relies on billions of distributed sensors to comprehend equipment information. [ 6 , 7 , 8 , 9 , 10 , 11 ] However, the power supply to the sensors is a choke point that limits the width and depth of state perception.…”

Section: Introductionmentioning

confidence: 99%

Rotary Wind‐driven Triboelectric Nanogenerator for Self‐Powered Airflow Temperature Monitoring of Industrial Equipment

Li,

Deng,

et al. 2024

Advanced Science

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Heat dissipation performance is crucial for the operational reliability of industrial equipment, which can be monitored by detecting the wind or airflow temperature of the radiator. The emergence of triboelectric nanogenerators (TENGs) provides new routes for wind energy harvesting and self‐powered sensing. Herein, a rotary wind‐driven triboelectric nanogenerator (RW‐TENG) with soft‐contact working mode is newly designed to achieve tunable contact areas by utilizing the reliable thermal response of NiTi shape memory alloy (SMA) to air/wind temperature. The RW‐TENG can generate different triboelectric outputs under air stimulation with different speeds or temperatures, which is demonstrated as a power source for online monitoring sensors, self‐powered wind speed sensing, and airflow temperature monitoring. Specifically, a self‐powered sensor of wind speed is demonstrated with a sensitivity of 0.526 µA m−1 s between 2.2 and 19.6 m s−1, and a self‐powered monitoring device of high airflow temperature, which show relatively short response time (109 s), strong anti‐interference ability and outstanding long‐term durability. This study introduces an innovative route for real‐time detection of airflow temperature in wind‐cooled industrial equipment, showing broad application prospects for information perception and intelligent sensing of the industrial IoTs.

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“…On the other hand, the protection scheme proposed in [28] discusses a multicategorical approach to fault elimination in distribution networks. A MAS architecture is explored for smart distribution networks in [29]- [31], while, in [32], a decentralised adaptive protection system design incorporating intelligent protection relays is introduced. A multiagent system is proposed in [33], offering a comprehensive solution for coordination and protection of the power grid.…”

Section: Introductionmentioning

confidence: 99%

Multiagent System-Based Adaptive Numerical Relay Design and Development: Part I - Firmware

Shobole,

Abafogi,

Khalid

et al. 2023

ELEKTRON ELEKTROTECH

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Protection relays that incorporate advanced microprocessors are vital to electrical grids, providing fast and reliable responses to faulty conditions using efficient communication protocols. Instant detection and response to various faults are essential to minimise the risk of damage. Numerical relays can identify faulty conditions and trigger circuit breakers to open, thus preventing further damage to the system. Due to the lack of autonomous decision-making capabilities, existing numerical relays require manual reconfiguration in situations such as a change in network configuration and protection settings. These relays also do not have the ability to coordinate fault clearance when multiple sources supply power to the grid. A comprehensive overview of the research aimed at developing a multiagent system (MAS)-based adaptive protection relay will be provided by dividing it into separate articles such as firmware and hardware. This first part delves into the firmware aspects of this innovative relay, highlighting its adaptive capabilities and key considerations in its development. The second part will provide detailed design descriptions for the hardware features of the relay. An STM32MPU multicore advanced microprocessor is utilised to design and develop the adaptive numerical relay firmware. It incorporates several protection relay ANSI codes, communication protocols, and MAS-based adaptive protection schemes as part of the firmware.

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Multiagent systems application for the smart grid protection

Cited by 56 publications

References 73 publications

Dynamic wide‐area cooperative protection: A new approach

Dynamic wide‐area cooperative protection: A new approach

Rotary Wind‐driven Triboelectric Nanogenerator for Self‐Powered Airflow Temperature Monitoring of Industrial Equipment

Multiagent System-Based Adaptive Numerical Relay Design and Development: Part I - Firmware

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