Decentralized blockchain flexibility system for Smart Grids: Requirements engineering and use cases

2018 ◽  
Author(s):  
Luigi D'Oriano ◽  
Giuseppe Mastandrea ◽  
Giuseppe Rana ◽  
Giuseppe Raveduto ◽  
Vincenzo Croce ◽  
...  
Keyword(s):  
Requirements Engineering ◽  
Smart Grids ◽  
Use Cases

scholarly journals Digitalisation and sustainable energy transitions in Africa: assessing the impact of policy and regulatory environments on the energy sector in Nigeria and South Africa

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Fortune Nwaiwu
Keyword(s):  
South Africa ◽  
Smart Grids ◽  
Sustainable Energy ◽  
Digital Technologies ◽  
Energy Systems ◽  
Energy Transition ◽  
Energy Sector ◽  
Use Cases ◽  
Energy Transitions ◽  
Production And Consumption

Abstract Background Digital technologies have unique characteristics for achieving radically disruptive transitions within the energy sector. They provide opportunities for new production and consumption models between micro-producers and consumers of electricity within communities in a way that transforms the traditional energy generation and consumption model. The study critically assessed the digitalisation of energy systems in Africa within the context of existing policy frameworks in the quest to achieve sustainable energy transitions in Africa. It investigated how digital technologies such as blockchain, digital platforms and smart grids were adopted and implemented within the energy sector to achieve new energy production and consumption models that are both environmentally sustainable and socially inclusive. This assessment was done within the context of existing policy and regulatory frameworks of the society where the use cases were domiciled. Methods The aim of the research was to investigate how sustainable energy transitions are being achieved in Nigeria and South Africa through the digitalisation of energy systems. A qualitative methodological approach was done in three stages—a document analysis that reviewed relevant literature on the energy sector policies in Nigeria and South Africa; the next step involved a comparative case study conducted to assess the characteristics of digital technology deployment in each country’s energy transition. Finally, outcomes of the comparative case studies were then situated within the context of existing policies within the countries covered by the study. Results Results from the research indicate that Africa is still in the early stages of adoption and application of digital technologies such as blockchain and smart grids within the energy sector. The results also showed a disconnect between the policy environment and industry efforts at achieving this. The current applications as exemplified in the use cases by the three companies covered in this study indicates that Africa's sustainable energy transition is in a rudimentary or early adoption stage, and they are not currently aided by the policy environments in which such projects are domiciled. Conclusions The research provides deep insights into the current state and developments within the energy sector especially in relation to how digital technologies are being adopted and implemented in solving the energy poverty prevalent across sub-Saharan Africa.

scholarly journals JGOOSE: A REQUIREMENTS ENGINEERING TOOL TO INTEGRATE I* ORGANIZATIONAL MODELING WITH USE CASES IN UML

2009 ◽  
Vol 17 (1) ◽  
Author(s):  
André Abe Vicente ◽  
Victor F. A Santander ◽  
Jaelson B Castro ◽  
Ivonei Freitas da Silva ◽  
Francisco G Reyes Matus
Keyword(s):  
Requirements Engineering ◽  
Use Cases

scholarly journals A SGAM-Based Test Platform to Develop a Scheme for Wide Area Measurement-Free Monitoring of Smart Grids under High PV Penetration

Energies ◽  
2019 ◽  
Vol 12 (8) ◽  
pp. 1417 ◽  
Author(s):  
Abouzar Estebsari ◽  
Luca Barbierato ◽  
Alireza Bahmanyar ◽  
Lorenzo Bottaccioli ◽  
Enrico Macii ◽  
...  
Keyword(s):  
State Estimation ◽  
Smart Grids ◽  
Distribution Systems ◽  
Use Cases ◽  
Area Measurement ◽  
Wide Area ◽  
Wide Area Monitoring ◽  
Architecture Model ◽  
Test Platform ◽  
Area Monitoring

In order to systematically shift existing control and management paradigms in distribution systems to new interoperable communication supported schemes in smart grids, we need to map newly developed use cases to standard reference models like Smart Grid Architecture Model (SGAM). From the other side, any new use cases should be tested and validated ex-ante before being deployed in the real-world system. Considering various types of actors in smart grids, use cases are usually tested using co-simulation platforms. Currently, there is no efficient co-simulation platform which supports interoperability analysis based on SGAM. In this paper, we present our developed test platform which offers a support to design new use cases based on SGAM. We used this platform to develop a new scheme for wide area monitoring of existing distribution systems under growing penetration of Photovoltaic production. Off-the-shelf solutions of state estimation for wide area monitoring are either used for passive distribution grids or applied to the active networks with wide measurement of distributed generators. Our proposed distribution state estimation algorithm does not require wide area measurements and relies on the data provided by a PV simulator we developed. This practical scheme is tested experimentally on a realistic urban distribution grid. The monitoring results shows a very low error rate of about 1 % by using our PV simulator under high penetration of PV with about 30 % error of load forecast. Using our SGAM-based platform, we could propose and examine an Internet-of-Things-based infrastructure to deploy the use case.

Requirements on Dimensions for a Maturity Model for Smart Grids Based on Two Case Studies

2022 ◽  
pp. 443-464
Author(s):  
Agnetha Flore ◽  
Jorge Marx Goméz
Keyword(s):  
Requirements Engineering ◽  
Smart Grids ◽  
Future Research ◽  
Maturity Model ◽  
Literature Research ◽  
Research Activities ◽  
First Case ◽  
Agile Approach ◽  
Further Development

This contribution describes two different types of requirements engineering analysis of the necessary dimensions of a possible maturity model for Smart Grids to be implemented for utilities. For the first case study, the requirements engineering for necessary dimensions for a Smart Grid maturity model was elicited using a systematic literature research. On the contrary a more agile approach is used for the second requirements engineering. For this more agile approach, interviews with energy suppliers were conducted, taking into account the analysis of the literature research. Various energy suppliers from Germany took part in the survey. The results were used to develop the basic framework for a maturity model for Smart Grids, which can still be tailored if necessary. Finally, future research activities for the application and further development of maturity models for Smart Grids in the energy industry are explained as well as the different procedural variants in the requirements analysis.

scholarly journals An Ontology for Specifying and Tracing Requirements Engineering Artifacts and Test Artifacts

2019 ◽  
Vol 22 (1) ◽  
Author(s):  
María Luciana Roldán ◽  
Marcela Vegetti ◽  
Silvio Gonnet ◽  
Marcelo Marciszack ◽  
Horacio Leone
Keyword(s):  
Requirements Engineering ◽  
Use Cases ◽  
Test Cases ◽  
Semantic Consistency ◽  
Ontology Language ◽  
Testing Management

This paper proposes an ontology that defines and integrates the concepts adopted for use cases and test cases specification. These concepts belong to the metamodels of different Requirements Engineering and testing management supporting tools, and their formalization in an ontology language prevents using concepts ambiguously and enables interoperability among the involved tools, in order to achieve semantic consistency and artifacts tracing.

scholarly journals A Cosimulation Architecture for Power System, Communication, and Market in the Smart Grid

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Markus Mirz ◽  
Lukas Razik ◽  
Jan Dinkelbach ◽  
Halil Alper Tokel ◽  
Gholamreza Alirezaei ◽  
...  
Keyword(s):  
Communication Network ◽  
Smart Grid ◽  
Power System ◽  
Software Architecture ◽  
Data Model ◽  
Smart Grids ◽  
Use Cases ◽  
Peak Shaving ◽  
Domain Specific ◽  
Comprehensive Data

Smart grids evolve rapidly towards a system that includes components from different domains, which makes interdisciplinary modelling and analysis indispensable. In this paper, we present a cosimulation architecture for smart grids together with a comprehensive data model for the holistic representation of the power system, the communication network, and the energy market. Cosimulation is preferred over a monolithic approach since it allows leveraging the capabilities of existing, well-established domain-specific software. The challenges that arise in a multidomain smart grid cosimulation are identified for typical use cases through a discussion of the recent literature. Based on the identified requirements and use cases, a joint representation of the smart grid ecosystem is facilitated by a comprehensive data model. The proposed data model is then integrated in a software architecture, where the domain-specific simulators for the power grid, the communication network, and the market mechanisms are combined in a cosimulation framework. The details of the software architecture and its implementation are presented. Finally, the implemented framework is used for the cosimulation of a virtual power plant, where battery storages are controlled by a novel peak-shaving algorithm, and the battery storages and the market entity are interfaced through a communication network.

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