M
Merkebu Z. Degefa
Researcher at SINTEF
Publications - 66
Citations - 950
Merkebu Z. Degefa is an academic researcher from SINTEF. The author has contributed to research in topics: Demand response & Smart grid. The author has an hindex of 14, co-authored 60 publications receiving 685 citations. Previous affiliations of Merkebu Z. Degefa include Helsinki University of Technology & Aalto University.
Papers
More filters
Journal ArticleDOI
Distribution network reliability improvements in presence of demand response
TL;DR: In this article, the potential impacts of demand response on major attributes of service reliability in a residential distribution network are comprehensively assessed and the proposed framework is applied to Finnish distribution system and the obtained results demonstrate the efficiency and applicability of the proposed approach in real world systems.
Journal ArticleDOI
Utilization Improvement of Transformers Using Demand Response
TL;DR: In this paper, a demand response optimization model based on transformer hottest-spot temperature is proposed to enhance the utilization of transformers in a residential primary and secondary distribution system in Finland.
Journal ArticleDOI
Benefits of Real-Time Monitoring to Distribution Systems: Dynamic Thermal Rating
TL;DR: This paper intends to comprehensively assess the potential impacts of DTR on the performance of a realistic Finnish distribution network by following a step-by-step procedure.
Journal ArticleDOI
Comprehensive classifications and characterizations of power system flexibility resources
TL;DR: A comprehensive flexibility definition and unified characterizing terms for flexibility resources are proposed and a taxonomy method which is applied to classify flexibility resources is presented, clearing the confusion on "what-is-what" under the concept of flexibility.
Journal ArticleDOI
Increased Utilization of Wind Generation by Coordinating the Demand Response and Real-time Thermal Rating
TL;DR: In this paper, the authors proposed an optimal residential demand response approach integrated with RTTR to balance the hourly wind power production in order to unlock the network capacities by allowing the network to safely operate during overload states, and the results demonstrate the considerable benefits that can be realized by coordinating DR and RTTR in a distribution network for wind generation balancing.