A Survey: Centralized, Decentralized, and Distributed Control Scheme in Smart Grid Systems

Sabri, Yassine; Najib, El Kamoun; Lakrami, Fatima

doi:10.1109/cmt.2019.8931370

Cited by 21 publications

(16 citation statements)

References 42 publications

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“…Multi-Agent Systems (MAS) for decentralized energy management represent an intriguing aspect of supervisory controller research (Sahoo et al, 2021). A MAS is a Frontiers in Energy Research frontiersin.org system composed of several intelligent agents that give local information and interact with one another to pursue various objectives (Khorsandi et al, 2014;Sabri et al, 2019) autonomously. Moreover, a MAS for real-time MG operation is implemented, focusing on generation scheduling and demandside management, as described in (Al-Saadi et al, 2021).…”

Section: Decentralized Controlsmentioning

confidence: 99%

Microgrid energy management and monitoring systems: A comprehensive review

J.Albarakati

Boujoudar

Azeroual³

et al. 2022

Front. Energy Res.

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Microgrid (MG) technologies offer users attractive characteristics such as enhanced power quality, stability, sustainability, and environmentally friendly energy through a control and Energy Management System (EMS). Microgrids are enabled by integrating such distributed energy sources into the utility grid. The microgrid concept is proposed to create a self-contained system composed of distributed energy resources capable of operating in an isolated mode during grid disruptions. With the Internet of Things (IoT) daily technological advancements and updates, intelligent microgrids, the critical components of the future smart grid, are integrating an increasing number of IoT architectures and technologies for applications aimed at developing, controlling, monitoring, and protecting microgrids. Microgrids are composed of various distributed generators (DG), which may include renewable and non-renewable energy sources. As a result, a proper control strategy and monitoring system must guarantee that MG power is transferred efficiently to sensitive loads and the primary grid. This paper evaluates MG control strategies in detail and classifies them according to their level of protection, energy conversion, integration, benefits, and drawbacks. This paper also shows the role of the IoT and monitoring systems for energy management and data analysis in the microgrid. Additionally, this analysis highlights numerous elements, obstacles, and issues regarding the long-term development of MG control technologies in next-generation intelligent grid applications. This paper can be used as a reference for all new microgrid energy management and monitoring research.

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Section: Decentralized Controlsmentioning

confidence: 99%

Microgrid energy management and monitoring systems: A comprehensive review

J.Albarakati

Boujoudar

Azeroual³

et al. 2022

Front. Energy Res.

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“…For example, the centralised control interacts with DSOs/TSOs to make sure the amount of energy of a transaction is acceptable by the energy grid without risks to the infrastructure and/or customers. This centralised control is intended only to guarantee the compliance with technical constraints and "trade-related" regulations [26]. Other than those, the individual still retains control over its local energy generation and trading.…”

Section: Centralised Controlmentioning

confidence: 99%

An Innovative Smart Grid Framework for Integration and Trading

Silva

O’Regan

2021

E3S Web Conf.

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Smart Grids (SGs) are at the forefront of the renewable resources transformative change for power generation. Due to its decentralised energy generation approach and potential reduction of the cost of power, its relevance for the energy sector is insurmountable. However, new business models and processes are necessary, and they come with integration, implementation, and operation-specific challenges. This work offers a broad analysis of SG’ main architectural aspects concerning security issues, integration bottlenecks and standardisation shortcomings in the development of an efficient platform for local energy (generation and storage) surplus trading. Through a multi-layered smart grid architecture description, this work develops an in-depth depiction of the interoperability between these layers (from top business layer passing through information and communications layers, and down to generation and storage layers). Therefore, this paper encompasses a comprehensive framework to address central smart grids design aspects and suggests a path to integrate the smart grid components into a cohesive and manageable trading platform. Finally, this work demonstrates how the proposed framework can be applied to real market study cases to highlight its solutions, provide a critical evaluation of potential implementation pitfalls, and identify opportunities for further stateof-the-art research.

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“…Therefore, the modified system is a complex network and a large nonlinear system consisting of a number of interconnected distributed subsystems (such as PTDs and EPTDs). There are two control modes applicable to this kind of large-scale system, as shown in Figure 2, respectively, centralized control and decentralized control [39][40][41]. The centralized control has the advantages of global optimal After the action of the modified system, the total energy consumption of the whole railway system P cost can be expressed as follows [36]:…”

Section: Description Of the Control Strategymentioning

confidence: 99%

“…For a decentralized control strategy, the optimization process is performed in the local controller (LC), and the functions are realized without bilateral communication. Currently, in both smart microgrids and smart grids, the centralized-decentralized control strategy has been extensively used [40,41]. With the development of a smart railway system, the centralized-decentralized control will become an inevitable trend for railway energy management systems.…”

Section: Introductionmentioning

confidence: 99%

Centralized-Decentralized Control for Regenerative Braking Energy Utilization and Power Quality Improvement in Modified AC-Fed Railways

Gao

et al. 2020

Energies

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This paper proposes a centralized-decentralized control strategy for regenerative braking energy utilization and power quality improvement in the modified AC-fed railway system with energy-storage-based smart electrical infrastructure. The proposal of a centralized-decentralized control strategy can enhance the ability to withstand and rapidly recover from disruptions, thus providing further guarantees for safe and reliable operation and energy conservation for railway systems. First of all, the description and control strategy of the modified railway system are outlined, and then the control principles and implementation process of the centralized control and decentralized control strategies are given. Moreover, a method of load power detection and regulated power reference calculation is proposed. Finally, the effectiveness of the proposed strategy is verified in a case of a modified railway system consisting of four traction substations and eight power supply sections. The results demonstrate that regenerative braking energy can be efficiently utilized in railways and that power quality can be improved using the proposed centralized-decentralized control strategy.

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A Survey: Centralized, Decentralized, and Distributed Control Scheme in Smart Grid Systems

Cited by 21 publications

References 42 publications

Microgrid energy management and monitoring systems: A comprehensive review

Microgrid energy management and monitoring systems: A comprehensive review

An Innovative Smart Grid Framework for Integration and Trading

Centralized-Decentralized Control for Regenerative Braking Energy Utilization and Power Quality Improvement in Modified AC-Fed Railways

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