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  • 1. Ben Dhaou, I.
    et al.
    Kondoro, Aron
    KTH, School of Electrical Engineering and Computer Science (EECS), Electronics. University of Dar es Salaam, Tanzania.
    Kelati, Amleset
    KTH, School of Electrical Engineering and Computer Science (EECS), Electronics, Electronic and embedded systems. University of Turku, Finland.
    Rwegasira, Diana
    KTH, School of Electrical Engineering and Computer Science (EECS), Electronics. University of Turku, Finland.
    Naiman, S.
    Mvungi, N. H.
    Tenhunen, Hannu
    KTH, School of Electrical Engineering and Computer Science (EECS), Electronics.
    Communication and security technologies for smart grid2018In: Fog Computing: Breakthroughs in Research and Practice, IGI Global , 2018, p. 305-331Chapter in book (Other academic)
    Abstract [en]

    The smart grid is a new paradigm that aims to modernize the legacy power grid. It is based on the integration of ICT technologies, embedded system, sensors, renewable energy and advanced algorithms for management and optimization. The smart grid is a system of systems in which communication technology plays a vital role. Safe operations of the smart grid need a careful design of the communication protocols, cryptographic schemes, and computing technology. In this article, the authors describe current communication technologies, recently proposed algorithms, protocols, and architectures for securing smart grid communication network. They analyzed in a unifying approach the three principles pillars of smart-gird: Sensors, communication technologies, and security. Finally, the authors elaborate open issues in the smart-grid communication network.

  • 2.
    Ebrahimi, Masoumeh
    et al.
    KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electronics and Embedded systems, Electronic and embedded systems.
    Kelati, Amleset
    KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electronics and Embedded systems, Electronic and embedded systems.
    Nkonoki, Emma
    Kondoro, Aron
    KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electronics and Embedded systems.
    Rwegasira, Diana
    KTH.
    Ben Dhaou, Imed
    Taajamaa, Ville
    Tenhunen, Hannu
    KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electronics and Embedded systems, Integrated devices and circuits.
    Creation of CERID: Challenge, Education, Research, Innovation, and Deployment in the context of smart MicroGrid2019In: IST-Africa 2019 Conference Proceedings / [ed] Paul Cunningham ; Miriam Cunningham, 2019Conference paper (Refereed)
    Abstract [en]

    The iGrid project deals with the design and implementation of a solar-powered smart microgrid to supply electric power to small rural communities. In this paper, we discuss the roadmap of the iGrid project, which forms by merging the roadmaps of KIC (knowledge and Innovation Community) and CDE (Challenge-Driven Education). We introduce and explain a five-gear chain as Challenge, Education, Research, Innovation, and Deployment, called CERID, to reach the main goals of this project. We investigate the full chain in the iGrid project, which is established between KTH Royal Institute of Technology (Sweden) and University of Dar es Salam (Tanzania). We introduce the key stakeholders and explain how CERID goals can be accomplished in higher educations and through scientific research. Challenges are discussed, some innovative ideas are introduced and deployment solutions are recommended.

  • 3.
    Kelati, Amleset
    et al.
    KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electronics and Embedded systems, Integrated devices and circuits. Univ Turku, Turku, Finland..
    Ben Dhaou, Imed
    Qassim Univ, Unaizah Coll Engn, Buraydah, Saudi Arabia.;Univ Monastir, Monastir, Tunisia..
    Kondoro, Aron
    KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electronics and Embedded systems. Univ Dar Es Salaam, Dar Es Salaam, Tanzania..
    Rwegasira, Diana
    KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electronics and Embedded systems. Univ Dar Es Salaam, Dar Es Salaam, Tanzania..
    Tenhunen, Hannu
    KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electronics and Embedded systems. Univ Turku, Turku, Finland..
    IoT based Appliances Identification Techniques with Fog Computing for e-Health2019In: IST-Africa 2019 Conference Proceedings / [ed] Paul Cunningham, Miriam Cunningham, IEEE , 2019Conference paper (Refereed)
    Abstract [en]

    To improve the living standard of urban communities and to render the healthcare services sustainable and efficient, e-health system is experiencing a paradigm shift. Patients with cognitive discrepancies can be monitored and observed through the analyses of power consumption of home appliances. This paper surveys recent trends in home-based e-health services using metered energy consumption data. It also analyses and summarizes the constant impedance, constant current and constant power (ZIP) approaches for load modelling. The analysis briefly recaptures both non-intrusive and intrusive techniques. The work reports an architecture using IoT technologies for the design of a smart-meter, and fog-computing paradigm for raw processing of energy dataset. Finally, the paper describes the implementation platform based on GirdLAB-D simulation to construct accurate models of household appliances and test the machine-learning algorithm for the detection of abnormal behaviour.

  • 4.
    Kelati, Amleset
    et al.
    KTH, School of Electrical Engineering and Computer Science (EECS), Electronics. University of Turku, Finland .
    DHAOU, Imed BEN
    Unaizah College of Engineering, Qassim University, Saudi Arabia; University of Monastir, Tunisia .
    Kondoro, Aron
    KTH, School of Electrical Engineering and Computer Science (EECS), Electronics. University of Dar es Salaam, Tanzania .
    Rwegasira, Diana
    KTH. University of Dar es Salaam, Tanzania .
    Tenhunen, Hannu
    KTH, School of Electrical Engineering and Computer Science (EECS), Electronics. University of Turku, Finland .
    IoT based Appliances Identification Techniques with FogComputing for e-Health2019In: 2019 IST-Africa Week Conference (IST-Africa, Narobi, Kenya: IEEE, 2019Conference paper (Refereed)
    Abstract [en]

    To improve the living standard of urban communities and to render the healthcare services sustainable and efficient, e-health system is experiencing a paradigm shift. Patients with cognitive discrepancies can be monitored and observed through the analyses of power consumption of home appliances. This paper surveys recent trends in home-based e-health services using metered energy consumption data. It also analyses and summarizes the constant impedance, constant current and constant power (ZIP) approaches for load modelling. The analysis briefly recaptures both non-intrusive and intrusive techniques. The work reports an architecture using IoT technologies for the design of a smart-meter, and fog-computing paradigm for raw processing of energy dataset. Finally, the paper describes the implementation platform based on GirdLAB-D simulation to construct accurate models of household appliances and test the machine-learning algorithm for the detection of abnormal behaviour.

  • 5.
    Kondoro, Aron
    et al.
    KTH, School of Electrical Engineering and Computer Science (EECS), Electronics.
    Ben Dhaou, I.
    Rwegasira, Diana
    KTH, School of Electrical Engineering and Computer Science (EECS), Electronics.
    Kelati, Amleset
    KTH, School of Electrical Engineering and Computer Science (EECS), Electronics.
    Tenhunen, Hannu
    KTH, School of Electrical Engineering and Computer Science (EECS), Electronics, Integrated devices and circuits.
    Mvungi, N.
    A Simulation Model for the Analysis of Security Attacks in Advanced Metering Infrastructure2018In: 2018 IEEE PES/IAS PowerAfrica, PowerAfrica 2018, Institute of Electrical and Electronics Engineers Inc. , 2018, p. 533-538Conference paper (Refereed)
    Abstract [en]

    The integration of Information and Communication Technologies in the power grid has given rise to new applications such as Advanced Metering Infrastructure. However, these technologies have also exposed the grid to new forms of security attacks. It is challenging to analyse and find solutions for these attacks due to the complexity of the grid system. There is a need of simple mechanisms to model and study the security implications of new power applications. This paper introduces a simulation model to evaluate the impact of security attacks on the Advanced Metering Infrastructure of a microgrid. The model is evaluated by demonstrating three security attack scenarios which lead to theft of power theft, privacy loss, and power outage.

  • 6.
    Rwegasira, Diana
    et al.
    KTH, School of Electrical Engineering and Computer Science (EECS), Electronics. Univ Dar Es Salaam, Dar Es Salaam, Tanzania..
    Ben Dhaou, Imed
    Qassim Univ, Coll Engn, Buraydah, Saudi Arabia.;Univ Monastir, Monastir, Tunisia..
    Kondoro, Aron
    KTH, School of Electrical Engineering and Computer Science (EECS), Electronics. Univ Dar Es Salaam, Dar Es Salaam, Tanzania..
    Kelati, Amleset
    KTH, School of Electrical Engineering and Computer Science (EECS), Electronics, Electronic and embedded systems. KTH, School of Electrical Engineering and Computer Science (EECS), Electronics, Integrated devices and circuits. Univ Turku, Turku, Finland..
    Mvungi, Nerey
    Univ Dar Es Salaam, Dar Es Salaam, Tanzania..
    Tenhunen, Hannu
    KTH, School of Electrical Engineering and Computer Science (EECS), Electronics, Integrated devices and circuits. Univ Turku, Turku, Finland..
    A Hardware-in-Loop Simulation of DC Microgrid using Multi-Agent Systems2018In: PROCEEDINGS OF THE 2018 22ND CONFERENCE OF OPEN INNOVATIONS ASSOCIATION (FRUCT) / [ed] Balandin, S, IEEE , 2018, p. 232-237Conference paper (Refereed)
    Abstract [en]

    Smart-grid is a complex system that incorporates distributed control, communication, optimization, and management functions in addition to the legacy functions such as generation, storage, and control. The design and test of new smart-grid algorithms require an efficient simulator. Agent based simulation platforms are the most popular tools that work well in the control and monitoring functionalities of the power electric network such as the microgrid. Most existing simulation tools necessitate either simulated or static data. In this paper, we propose a hardware-in-loop simulator for dc-microgrid. The simulator reads the power generated by the PV panels and the battery SoC using Raspberry PI. A physical agent that MRS on Raspberry PI sends the real-time data to a dc-microgrid simulator that runs on a PC. As a proof of concept, we implemented a load-shedding algorithm using the proposed system.

  • 7.
    Rwegasira, Diana
    et al.
    KTH. Univ Dar Es Salaam, Dar Es Salaam, Tanzania..
    Ben Dhaou, Imed
    Qassim Univ, Coll Engn, Buraydah, Saudi Arabia.;Univ Monastir, Monastir, Tunisia..
    Kondoro, Aron
    KTH. Univ Dar Es Salaam, Dar Es Salaam, Tanzania..
    Shililiandumi, Naiman
    Univ Dar Es Salaam, Dar Es Salaam, Tanzania..
    Kelati, Amleset
    KTH. Stockholm, Sweden.;Univ Turku, Turku, Finland..
    Mvungi, Nerey
    Univ Dar Es Salaam, Dar Es Salaam, Tanzania..
    Tenhunen, Hannu
    KTH. Stockholm, Sweden.;Univ Turku, Turku, Finland..
    A Multi-Agent System for Solar Driven DC Microgrid2017In: 2017 INTERNATIONAL CONFERENCE ON CONTROL, ELECTRONICS, RENEWABLE ENERGY AND COMMUNICATIONS (ICCREC), IEEE , 2017, p. 252-257Conference paper (Refereed)
    Abstract [en]

    This paper proposes a Multi-Agent System (MAS) modeling and control architecture for a solar driven DC microgrid. The microgrid consists of solar system as a source of power, energy storage system, critical and non-critical houses (loads) with their own solar and storage as well. For the proposed MAS an individual house can have the ability to sell extra power to the main solar source. The main solar source can generate power and provide to the community when needed. The MAS also controls and monitors an automatic load shedding technique to disconnect non critical loads when there is a deficiency of power supply to the system. The validity of the objectives are demonstrated by agent based system which runs under REPAST simulation tool which used successfully three loads: hospital and two houses during simulation.

  • 8.
    Rwegasira, Diana
    et al.
    KTH, School of Electrical Engineering and Computer Science (EECS), Electronics.
    Mvungi, N.
    Tenhunen, Hannu
    KTH, School of Electrical Engineering and Computer Science (EECS), Electronics, Integrated devices and circuits.
    Agent Based System for Improved Control and Monitoring of a Solar Driven DC Microgrid2018In: 2018 IEEE PES/IAS PowerAfrica, PowerAfrica 2018, Institute of Electrical and Electronics Engineers Inc. , 2018, p. 890-894Conference paper (Refereed)
    Abstract [en]

    Control and monitoring processes in the electric field are fundamental aspects in smart grid. Different attributes, systems and mechanisms are required in handling activities from transmission, distribution and consumer side of the electrical network based on advanced technologies. In Tanzania, there still exists manual operations on distribution side and very little on the transmission side. Agent based distributed system has been seen to work successfully which involves the use of artificial intelligence and autonomous actions during the operations and controlling activities. Therefore, in this manner, the generated model based on REPAST simulation tool for solar driven DC microgrid will be achieved to show features of control and monitoring the grid including load shedding technique and demand responses based on pricing. Furthermore, the design of the prototype based on the stated features will be implemented. The advantages and impact of the demonstration can be deployed and used in any community for the application of any renewable energy systems.

1 - 8 of 8
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  • ieee
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