A comprehensive survey on control strategies of distributed generation power systems under normal and abnormal conditions

Meral, Mehmet Emin; Çelík, Doğan

doi:10.1016/j.arcontrol.2018.11.003

Cited by 73 publications

(37 citation statements)

References 137 publications

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“…SG provides real-time tracking and display of energy system device conditions and efficiency through linkages and over large geographic areas, helping device operators and users recognize and optimize power system modules, actions, and output [145,147,148]. SG's monitoring and control technologies produce data and provide a visual representation of the system status to help inform the decision, mitigate wide-area disturbances, and improve distribution capacity and reliability.…”

Section: Automatic Monitoring and Controlmentioning

confidence: 99%

Distributed Energy Resources and the Application of AI, IoT, and Blockchain in Smart Grids

et al. 2020

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Smart grid (SG), an evolving concept in the modern power infrastructure, enables the two-way flow of electricity and data between the peers within the electricity system networks (ESN) and its clusters. The self-healing capabilities of SG allow the peers to become active partakers in ESN. In general, the SG is intended to replace the fossil fuel-rich conventional grid with the distributed energy resources (DER) and pools numerous existing and emerging know-hows like information and digital communications technologies together to manage countless operations. With this, the SG will able to “detect, react, and pro-act” to changes in usage and address multiple issues, thereby ensuring timely grid operations. However, the “detect, react, and pro-act” features in DER-based SG can only be accomplished at the fullest level with the use of technologies like Artificial Intelligence (AI), the Internet of Things (IoT), and the Blockchain (BC). The techniques associated with AI include fuzzy logic, knowledge-based systems, and neural networks. They have brought advances in controlling DER-based SG. The IoT and BC have also enabled various services like data sensing, data storage, secured, transparent, and traceable digital transactions among ESN peers and its clusters. These promising technologies have gone through fast technological evolution in the past decade, and their applications have increased rapidly in ESN. Hence, this study discusses the SG and applications of AI, IoT, and BC. First, a comprehensive survey of the DER, power electronics components and their control, electric vehicles (EVs) as load components, and communication and cybersecurity issues are carried out. Second, the role played by AI-based analytics, IoT components along with energy internet architecture, and the BC assistance in improving SG services are thoroughly discussed. This study revealed that AI, IoT, and BC provide automated services to peers by monitoring real-time information about the ESN, thereby enhancing reliability, availability, resilience, stability, security, and sustainability.

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Section: Automatic Monitoring and Controlmentioning

confidence: 99%

Distributed Energy Resources and the Application of AI, IoT, and Blockchain in Smart Grids

et al. 2020

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“…Sensor networks are usually seamlessly integrated into industrial cyber-physical systems to facilitate real-time sensing, monitoring, and control. Typical applications include the supervisory control and data acquisition (SCADA) of both distributed power systems or industrial process control systems, and the tracking of maneuvering targets [3,4,7,53,88,92,99]. It is noteworthy that, different from fashionable distributed filtering of the single system, there are essentially two simultaneous configurations of interactions/connections of a cyber-physical system (CPS): the physical connection among subsystems and cyber connection among units of information processing [3].…”

Section: ) Applications In Cyber-physical Systemsmentioning

confidence: 99%

Distributed filtering of networked dynamic systems with non-Gaussian noises over sensor networks: A survey

Ding¹,

Han²,

Ge³

2020

Kybernetika

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“…Proposed Island improves performance voltage of distributed generation power system [29] proper control in grid connected mode with Intentional Short circuit faults, Loss of Feeders, Large Load switching and Capacitor switching.Novelty of presented paper is effective island has been achieved with fuzzy control of voltage, z V and frequency control, z f using sof fuzzy computing sets in all island cases.…”

Section: Introductionmentioning

confidence: 99%

A novel soft island in integrated distributed generation to improve utility grid safety and stability at different modes of operation

2021

Turk J Elec Eng & Comp Sci

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Control of integrated utility grid plays important role, as renewable energy sources are rapidly increasing with installation of different Distributed Generation (DG) systems. A lot of issues are arising during the operation like interruption, disorder and uncertainty. One of the situations is islanding necessary to secure humans and converter devices, working in interconnected electrical energy sources environment. Parameter of grid system like voltage and frequency are taken to identify these situations and control through converter signals. Fuzzy sets are used in updating with Rate of Change of Variable Voltage (RCVV), Rate of Change of Variable Frequency (RCVF). Hence leads to proposed variable inverter pulses, in method of Islanding Detection. Adaptive island algorithm is developed with fine tuned control vector used to recognize Island events in integrated utility grid. Variable inverter pulse has been considered for isolating DG at Island completion. This paper presents fuzzy based island helps to overcome existing challenges existing challenges of rate of change in voltage and frequency and motivate to better recognition. Outcomes of the paper to update inverter pulses as function of change in voltage and frequency at Point of Common coupling (PCC) with different conditional operating modes of system. Effective outcome of proposed is mainly with fuzzy control for both RCVV, RCVF of existed methods of islanding with voltage and frequency variations.

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A comprehensive survey on control strategies of distributed generation power systems under normal and abnormal conditions

Cited by 73 publications

References 137 publications

Distributed Energy Resources and the Application of AI, IoT, and Blockchain in Smart Grids

Distributed Energy Resources and the Application of AI, IoT, and Blockchain in Smart Grids

Distributed filtering of networked dynamic systems with non-Gaussian noises over sensor networks: A survey

A novel soft island in integrated distributed generation to improve utility grid safety and stability at different modes of operation

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