Yazar "Pipattanasomporn, Manisa" seçeneğine göre listele

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    Öğe
    A Smart Direct Load Control Approach Using Dynamic Voltage Control for Demand Response Programs
    (Taylor & Francis Inc, 2022) Elma, Onur; Kuzlu, Murat; Pipattanasomporn, Manisa
    -This study proposes a direct load control (DLC) approach for residential demand response (DR) programs, which uses a dynamic voltage control method to reduce the peak electricity consumption in homes. In the proposed approach, if a utility needs to reduce electrical load consumption, a DLC signal is sent to a smart meter (SM) either via utility's communication infrastructure. SM communicates with a group of smart plugs attached to selected domestic appliances to individually reduce the output voltage. The electrical consumption of selected appliances can be reduced without turning them OFF. Hence, the peak demand of a residential house can be reduced without turning off selected power-intensive loads, like in a classic direct load control (DLC) approach used by several electric utilities. The proposed dynamic voltage control is operated can be done within a certain limit defined set by international standards to avoid any possible negative impacts on domestic appliances. The results indicated that the proposed DLC could reduce the peak electricity demand up to around 32% using both voltage control and renewable energy. The proposed approach is expected to give flexibility to utilities to control the electrical demand of homes while ensuring participants remain more comfortable during a DR event.
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    Öğe
    Cybersecure and scalable, token-based renewable energy certificate framework using blockchain-enabled trading platform
    (Springer, 2024) Cali, Umit; Kuzlu, Murat; Sebastian-Cardenas, D. Jonathan; Elma, Onur; Pipattanasomporn, Manisa; Reddi, Ramesh
    Decarbonization of energy systems has been a recent trend during the last two decades where large-scale renewable energy sources (RES) are integrated into the modern power systems. Various countries have developed new energy policy instruments, such as Renewable Energy Certificates (RECs), to promote the growth of RES. RECs are tradable, non-tangible assets, which have a monetary value. Tracking and certification of the origin of an energy resource regardless of its type (e.g., a conventional power plant or RES) are a critical operation. In addition to the certification of origin, trading transactions must be performed using a secure method. Energy industry participants need to secure the data and applications related to RECs. Digitalization technologies such as artificial intelligence (AI) and distributed ledger technology (DLT) are among the most popular and promising options. DLT is a perfect framework that can support such REC functionalities. This paper addresses the cybersecurity aspects in REC trading using blockchain and distributed ledger technology, considering detailed cybersecurity perspectives and aspects of adopting technology from an organizational perspective.