作者:
Panda, Deepak KumarDas, SaptarshiUniv Exeter
Coll Engn Math & Phys Sci Dept Math Penryn Campus Penryn TR10 9FE Cornwall England Univ Exeter
Inst Data Sci & Artificial Intelligence Laver BldgNorth Pk Rd Exeter EX4 4QE Devon England
This paper describes a generic methodology to develop mathematical and computational models of different components of the smart grid architecture model (SGAM). The SGAM inspired integrated mathematical modelling will...
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This paper describes a generic methodology to develop mathematical and computational models of different components of the smart grid architecture model (SGAM). The SGAM inspired integrated mathematical modelling will help develop interoperable complex system simulations for integrating different smartgrid components, associated communication models for data exchange and software modules, control, estimation, and data analytics functionalities with the business perspectives. This paper is based on the existing component models inspired by SGAM, which provides a holistic view for integrating the models under operational and security constraints. Achievable results and open research problems for the SGAM mapping have also been discussed in these models supporting the interoperability challenges. The models described in this paper can serve as a guideline to design efficient and robust control strategies for smartgrids against uncertain loading, generation, and communication constraints, thus optimizing and improving the whole system's performance. Mathematical and computational models of cyber-physical systems have also been discussed along with their potential challenges. Based on the above concepts, unsolved and open challenges in the smartgrid control, optimization and data analytics are highlighted. (c) 2021 Elsevier Ltd. All rights reserved.
The continuously increasing complexity of modern and sustainable power and energy systems leads to a wide range of solutions developed by industry and academia. To manage such complex system-of-systems, proper enginee...
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The continuously increasing complexity of modern and sustainable power and energy systems leads to a wide range of solutions developed by industry and academia. To manage such complex system-of-systems, proper engineering and validation approaches, methods, concepts, and corresponding tools are necessary. The smart grid architecture model (SGAM), an approach that has been developed during the last couple of years, provides a very good and structured basis for the design, development, and validation of new solutions and technologies. This review therefore provides a comprehensive overview of the state-of-the-art and related work for the theory, distribution, and use of the aforementioned architectural concept. The article itself provides an overview of the overall method and introduces the theoretical fundamentals behind this approach. Its usage is demonstrated in several European and national research and development projects. Finally, an outlook about future trends, potential adaptations, and extensions is provided as well.
To systematically shift existing distribution outage management paradigms to smart and more efficient schemes, we need to have an architectural overview of smartgrids to reuse the assets as much as possible. smart Gr...
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ISBN:
(纸本)9781538651865
To systematically shift existing distribution outage management paradigms to smart and more efficient schemes, we need to have an architectural overview of smartgrids to reuse the assets as much as possible. smart grid architecture model offers a support to design such emerging use cases by representing interoperability aspects among component, function, communication, information, and business layers. To allow this kind of interoperability analysis for design and implementation of Fault Detection, Isolation and Restoration function in outage management systems, we develop an Internet-of-Things-based platform to perform real time co-simulations. Physical components of the grid are modeled in Opal-RT real time simulator, an automated Fault Detection, Isolation and Restoration algorithm is developed in MATLAB and an MQTT communication has been adopted. A 2-feeder MV network with a normally open switch for reconfiguration is modeled to realize the performance of the developed co-simulation platform.
In the context of ICT-based smartgrid components, the IEC 62559 Use Case Methodology and the smart grid architecture model Framework play a vital role in achieving a common understanding of the energy system during t...
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ISBN:
(数字)9783031610004
ISBN:
(纸本)9783031609992;9783031610004
In the context of ICT-based smartgrid components, the IEC 62559 Use Case Methodology and the smart grid architecture model Framework play a vital role in achieving a common understanding of the energy system during the modeling process. However, discrepancies in interpretations by heterogeneous stakeholders can lead to errors and costly consequences in subsequent project phases. With the aim to contribute to the development of AI systems capable of improving the quality of use case descriptions and models to avoid such costly consequences, this research gathers and presents functional requirements for the design of an intelligent system. An architecture will be developed to demonstrate its integration into the modeling process. A comprehensive requirement analysis is conducted, utilizing expertise from energy sector professionals, collected and evaluated using quantitative and qualitative research methods.
Modern smartgrids typically combine physical and communication networks for efficient information exchange and innovative applications. Aligned with digitalization and advancements in smartgrids, the integration of ...
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Modern smartgrids typically combine physical and communication networks for efficient information exchange and innovative applications. Aligned with digitalization and advancements in smartgrids, the integration of photovoltaic (PV) systems comprises a variety of regulatory and technological aspects. However, no previous study has conducted an extensive and systematic analysis of the PV-grid integration framework, particularly for one country. To fill this gap, this paper uses Germany as an example to present a comprehensive, state-of-the-art analysis of integrating distributed PV systems into smartgrids, focusing on the regulation and technical implementation of the German smart Meter Infrastructure and PV control interfaces. Starting from a standardization perspective, this analysis utilizes the smart grid architecture model to identify crucial roles, components and processes specifically in Germany. Furthermore, it outlines the current implementation of PV integration into distribution networks at a national level. The results of this study show the overall complexity of PV integration in the smartgrid context, confirm the feasibility of the German integration approach, and highlight the necessity of deploying standardized information models and communication technologies. These key findings can help market participants with different roles to identify potential technical bottlenecks or other critical points in the regulation and technical implementation. For instance, the proposed in-depth analysis framework provides an orientation for characterizing the PV integration or, more generally, the grid integration scenario of renewables in other countries.
Local flexibility markets are becoming increasingly popular smartgrid solutions. They connect customers who require flexible electricity supply and demand with local flexibility providers. However, the growing number...
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Local flexibility markets are becoming increasingly popular smartgrid solutions. They connect customers who require flexible electricity supply and demand with local flexibility providers. However, the growing number of diverse solutions has led to a proliferation of concepts, projects, and companies in this market, with this diversity making understanding and comparison difficult. To tackle this challenge, we propose a multi-layered taxonomy of local flexibility market solutions. This focuses on congestion management on the distribution side of this activity;a crucial service for distribution system operators. Our taxonomy utilizes the smart grid architecture model to describe these markets comprehensively. We employ an iterative taxonomy-building method, refining and evaluating it through insights from ongoing implementations and twenty-eight expert interviews. Moreover, we present a complete instantiation of our taxonomy and offer a discussion with practical recommendations for practitioners in the local flexibility market landscape.
Established engineering procedures for developing smartgrid applications adopt the Use-Case Methodology in combination with the smart grid architecture model (SGAM). This methodology has so far been adapted to includ...
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ISBN:
(数字)9781665499309
ISBN:
(纸本)9781665499309
Established engineering procedures for developing smartgrid applications adopt the Use-Case Methodology in combination with the smart grid architecture model (SGAM). This methodology has so far been adapted to include risk assessment for guaranteeing system security i.e. non-functional requirements. Recent work on engineering use cases that require specific adaptivity processes to make the system resilient against unexpected, rare events indicated the necessity to refine the established methodologies. In this paper, we propose an extension to the established engineering methodology that guides development teams to quantify such functional risks during requirements engineering phase. This enables inferring the suitable operating principles and system architectures for appropriate adaptive application designs. For demonstration, we consider the risks that arise from operating a virtual power plant under rare environmental conditions that are usually treated by manual trading activities. The methodology is validated in a case study for risk-aware balancing of renewable energy via flexible prosumers thereby reproducing the ad-hoc workflow used for particular flexibility use cases in earlier work. Altogether, we show how, at design time, the use of the proposed methodology supports the development of risk-aware adaptive systems.
Cyber-Physical Systems (CPS) is the amalgamation of highly sophisticated sensors with physical spaces. These close conjunctions of sensors with communication infrastructure intrinsically linking to society's Criti...
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Cyber-Physical Systems (CPS) is the amalgamation of highly sophisticated sensors with physical spaces. These close conjunctions of sensors with communication infrastructure intrinsically linking to society's Critical Infrastructures (C.I.) are being witnessed more often in the context of smartgrid (SG). As a backbone of C.I., smartgrid demonstrates ability to precisely monitor large scale energy systems and designed in order to achieve complex local and global objectives. Being capable of performing such sophisticated operation it also bears the vulnerability of being exposed for cyber-physical co-ordinated attack that may lead to catastrophic effect. Many researchers have analyze the different stages of cyber-physical co-ordinated attacks like attack detection, prevention, impact analysis and recovery plans but there exist a research gap to address all the issues under single framework. Through this paper, we propose a novel Cyber Physical Defense Framework (CPDF) based on National Institute of Standards and Technology (NIST) guidelines to address the cyber attack on SG. Our work addresses the pre and post attack scenario, attack vector formulation through hierarchical PetriNet modeling and recovery mechanism. We have performed experiment for Distributed Denial of Service (DDoS) and False Data Injection attack (FDI) to validate our framework effectiveness and established the efficacy of proposed model. In the end, we have presented a case study of FDI attack detection using machine learning technique on IEEE 9-bus and 14-bus system.
the road between the conventional energy grids and smart energy systems involves, among other things, the validation of smart energy systems enabling-technologies. Such validation is not always possible on-site, so it...
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ISBN:
(纸本)9781728171005
the road between the conventional energy grids and smart energy systems involves, among other things, the validation of smart energy systems enabling-technologies. Such validation is not always possible on-site, so it must be performed in laboratory conditions. In fact, when large electrical grids are targeted together with their information management system the development and testing of smartgrid enabling-technologies are possible, in most cases, only in the laboratory. This paper presents a flexible laboratory platform developed for the study, testing and validation of smartgrids and smart energy systems enabling-technologies, including Power Hardware-In-the-Loop and Information and Communications Technology.
In this paper, we propose a model-based system architecture for an interoperable blockchain-based local energy market for prosumers in a residential microgrid setting. Based on the smart grid architecture model our an...
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In this paper, we propose a model-based system architecture for an interoperable blockchain-based local energy market for prosumers in a residential microgrid setting. Based on the smart grid architecture model our analysis deduced 21 organizational, informational, technical and blockchain requirements for a local energy market and its underlying information system. These are evaluated in the Landau Microgrid case study. We derive, that a clear value proposition for the key stakeholders, standardization of data exchange and communication, and a suitable physical implementation are the major challenges.
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