A Fractal Model for Power Smart Grids

Florea, Gheorghe; Chenaru, Oana; Popescu, Dan; Dobrescu, Radu

doi:10.1109/cscs.2015.104

Cited by 9 publications

(5 citation statements)

References 14 publications

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“…Uncertainty managing is one of the main difficulties decision makers have to deal with [46]. As a result, various methods have been employed in order to manage the uncertainty of the aforementioned parameters in Section 3 in microgrid energy management [46,[54][55][56][57]. In this section, a review of all existing uncertainty modeling techniques used by an EMS are presented which are classified broadly into four categories as shown in Figure 2.…”

Section: Uncertainty Modelingmentioning

confidence: 99%

Advanced Approaches, Business Models, and Novel Techniques for Management and Control of Smart Grids

Siano¹,

Shafie‐khah²

2020

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Section: Uncertainty Modelingmentioning

confidence: 99%

Advanced Approaches, Business Models, and Novel Techniques for Management and Control of Smart Grids

Siano¹,

Shafie‐khah²

2020

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“…Fractal principles have been studied in grid structures and fractal dimensions have been calculated for different grids [50,51] to develop a cluster power system philosophy with cluster network structure [52,53]. Other authors have organized a smart grid based on a fractal model and have associated it with the holonic concept and holarchy [54]. Others consider fractals as an instrument that facilitates the realization of smart grids in a decentralized fashion [55].…”

Section: Literature Review On the Use Of Fractal Analysis In Smart Gridsmentioning

confidence: 99%

Design of the Smart Grid Architecture According to Fractal Principles and the Basics of Corresponding Market Structure

Ilo

2019

Energies

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Nowadays, there is a dramatic upsurge in the use of renewable energy resources, ICT and digitalization that requires more than the straightforward refinements of an established power system structure. New solutions are required to perform dynamic optimizations in real time, closed loops and so on, taking into account the high requirements on data privacy and cyber security. The LINK-paradigm was designed to meet these requirements. It was developed on the basis of the bottom-up method that can lead to misinterpretations or wrong conclusions. This work mainly deals with the verification of the authenticity and correctness of LINK. Fractal analysis is used to identify the unique and independent elements of smart grids required for the design of an architectural paradigm. The signature of the fractal structure, the so-called fractal pattern, is founded and referred to as electrical appliances (ElA). The latter has proven to be the key component of the architectural LINK paradigm. The definition of the LINK paradigm is finally validated: It consists of unique and independent elements that avoid misinterpretation or the need for any changes in its definition. Additionally, the fractal analysis indicates two fractal anomalies in the existing power system structure, while the fractal dimension calculation insinuates the highest complexity in the fractal level of electrical devices. The LINK-based holistic architecture is given a finishing touch. A compact presentation of the control chain strategy is provided that should facilitate its practical implementation. The basis for the harmonization of the market structure with the grid link arrangements is established. The processes of demand response and conservation voltage reduction are presented under the new findings.

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“…Fractal approach is also proposed for designing smart grid system architecture. Towards the fractal design approaches, emphasis is given on both self-similarity and self-orgnization as described by [12,13]. Taking the fractal concept further, Bytschkow et al [24] focused on the compositionality of self-similar components.…”

Section: Review On the Architectural Concepts For Microgrid Environmentsmentioning

confidence: 99%

“…Florea et al [12] proposed a fractal architecture for power grids, using the concept of holons. Holons are the autonomous entities with fixed functionalities and have the ability to interact with other holons.…”

Section: Introductionmentioning

confidence: 99%

Developing Self-Similar Hybrid Control Architecture Based on SGAM-Based Methodology for Distributed Microgrids

Gupta

Duchon

2018

Designs

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Cyber-Physical Systems (CPS) are the complex systems that control and coordinate physical infrastructures, which may be geographically apart, via the use of Information and Communication Technology (ICT). One such application of CPS is smart microgrids. Microgrids comprise both power consuming and power producing infrastructure and are capable of operating in grid connected and disconnected modes. Due to the presence of heterogeneous smart devices communicating over multiple communication protocols in a distributed environment, a system architecture is required. The objective of this paper is to approach the microgrid architecture from the software and systems’ design perspective. The architecture should be flexible to support various multiple communication protocols and is able to integrate various hardware technologies. It should also be modular and scalable to support various functionalities such as island mode operations, energy efficient operations, energy trading, predictive maintenance, etc. These requirements are the basis for designing the software architecture for the smart microgrids that should be able to manage not only electrical but all energy related systems. In this work, we propose a distributed, hybrid control architecture suited for microgrid environments, where entities are geographically distant and need to operate in a cohesive manner. The proposed system architecture supports various design philosophies such as component-based design, hierarchical composition of components, peer-to-peer design, distributed decision-making and controlling as well as plug-and-play during runtime. A unique capability of the proposed system architecture is the self-similarity of the components for the distributed microgrids. The benefit of the approach is that it supports these design philosophies at all the levels in the hierarchy in contrast to a typical centralized architectures where decisions are taken only at the global level. The proposed architecture is applied to a real system of 13 residential buildings in a low-voltage distribution network. The required implementation and deployment details for monitoring and controlling 13 residential buildings are also discussed in this work.

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A Fractal Model for Power Smart Grids

Cited by 9 publications

References 14 publications

Advanced Approaches, Business Models, and Novel Techniques for Management and Control of Smart Grids

Advanced Approaches, Business Models, and Novel Techniques for Management and Control of Smart Grids

Design of the Smart Grid Architecture According to Fractal Principles and the Basics of Corresponding Market Structure

Developing Self-Similar Hybrid Control Architecture Based on SGAM-Based Methodology for Distributed Microgrids

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