Review on smart grid control and reliability in presence of renewable energies: Challenges and prospects

Ourahou, M.; Ayrir, Wiam; Hassouni, Bennacer El; Haddi, Ali

doi:10.1016/j.matcom.2018.11.009

Cited by 174 publications

(63 citation statements)

References 18 publications

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“…In (5), c i ( $ kW ) represents operational cost of the ESS in the ith MG and P b,i (t) is the amount of charging/discharging power, which is assumed to be positive/negative during charging/discharging intervals.…”

Section: Problem Formulationmentioning

confidence: 99%

“…The most important issues in establishing appropriate models and control strategies are related to the complexity that is resulted from interaction of multiple MGs as well as the uncertainties that are caused by the intermittent nature of the renewable energy (RE)-based distributed energy resources (DERs) and variability of loads. An overview of the integration challenges of REs as well as smart grid control and reliability issues can be found in [4,5].…”

Section: Introductionmentioning

confidence: 99%

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Stochastic Predictive Energy Management of Multi-Microgrid Systems

et al. 2020

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Next-generation power systems will require innovative control strategies to exploit existing and potential capabilities of developing renewable-based microgrids. Cooperation of interconnected microgrids has been introduced recently as a promising solution to improve the operational and economic performance of distribution networks. In this paper, a hierarchical control structure is proposed for the integrated operation management of a multi-microgrid system. A central energy management entity at the highest control level is responsible for designing a reference trajectory for exchanging power between the multi-microgrid system and the main grid. At the second level, the local energy management system of individual microgrids adopts a two-stage stochastic model predictive control strategy to manage the local operation by following the scheduled power trajectories. An optimal solution strategy is then applied to the local controllers as operating set-points to be implemented in the system. To distribute the penalty costs resulted from any real-time power deviation systematically and fairly, a novel methodology based on the line flow sensitivity factors is proposed. Simulation and experimental analyses are carried out to evaluate the effectiveness of the proposed approach. According to the simulation results, by adopting the proposed operation management strategy, a reduction of about 47% in the average unplanned daily power exchange of the multi-microgrid system with the main grid can be achieved.

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Section: Problem Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Stochastic Predictive Energy Management of Multi-Microgrid Systems

et al. 2020

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“…Designing a robust communications network infrastructure is important for SGI4.0 to achieve reliable and efficient operation. There are multiple SG architecture models but they all follow a similar multilayered structure [12] Defines the three main layers as: a. Power systems layer: responsible for generating and delivering electrical energy to the users, similar to a traditional PG.…”

Section: Smart Grid Architecturementioning

confidence: 99%

Smart grid in the context of industry 4.0: an overview of communications technologies and challenges

Qarabash

Sabry

Qarabash

2020

IJEECS

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<span>The recent advances in technology, the increased dependence on electrical energy and the emergence of the fourth industrial revolution (Industry 4.0) were all factors in the increased need for smart, efficient and reliable energy systems. This introduced the concept of the Smart Grid (SG). A SG is a potential replacement for older power grids, capable of adapting and distributing energy based on demand. SG systems are complex. They combine various components and have high requirements for real time reliable operation. This paper attempts to provide an overview of SG systems, by outlining SG architecture and various components. It also introduces communication technologies, integration and network management tools that are involved in SG systems. In addition, the paper highlights challenges and issues that need to be addressed for a successful implementation of SG. Finally, we provide suggestions for future <br /> research directions. </span>

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“…Renewable energy integration remains challenging due to stochastic nature of supply and demand in smart grid systems [132]. Distributed control seem to cope well with variations in operating conditions of power systems [133], while multiobjective optimization may offer versatility in short-and long-term economic objectives [134].…”

Section: F New Energy Demand and Deliverymentioning

confidence: 99%

Context Aware Control Systems: An Engineering Applications Perspective

et al. 2020

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Cyber-physical systems revolve around context awareness, empowering objective-oriented services, products and operations based on real data. Self-aware and self-control systems are core elements in the Industry 4.0 framework towards self-sustainable adaptive manufacturing and personalized services. This development is witnessed by the context-aware pervasive assistance to users and machines in decisions making process for optimizing product performance and economic yield. While integration of the virtual and the physical world entails smart sensors communication and complex data analytics, it relies on artificial intelligence tools to manage process operations. The objective of the article is to create awareness that systems & control community must address theoretical and practical aspects from a larger perspective. Context aware control is emerging as a natural solution to maximize the use of available sensing instrumentation and the relatively low cost data logging, i.e. an important source for extracting information, interpreting and using context information and adapt its functionality to the current context of use. This article presents a concise overview of applications where context aware systems and control methodologies are relevant in the seven societal challenges acknowledged by European policy-makers: Digital Society;

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Review on smart grid control and reliability in presence of renewable energies: Challenges and prospects

Cited by 174 publications

References 18 publications

Stochastic Predictive Energy Management of Multi-Microgrid Systems

Stochastic Predictive Energy Management of Multi-Microgrid Systems

Smart grid in the context of industry 4.0: an overview of communications technologies and challenges

Context Aware Control Systems: An Engineering Applications Perspective

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