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Aboelsood Zidan

Researcher at Assiut University

Publications -  32
Citations -  1259

Aboelsood Zidan is an academic researcher from Assiut University. The author has contributed to research in topics: Distributed generation & Control reconfiguration. The author has an hindex of 14, co-authored 32 publications receiving 1014 citations. Previous affiliations of Aboelsood Zidan include University of Waterloo & University of Ontario Institute of Technology.

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A Cooperative Multiagent Framework for Self-Healing Mechanisms in Distribution Systems

TL;DR: The smart grid concept and technologies have been applied to construct a self-healing framework for use in smart distribution systems and the results of the simulation conducted using the new framework demonstrate the effectiveness of the proposed control structure.
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Fault Detection, Isolation, and Service Restoration in Distribution Systems: State-of-the-Art and Future Trends

TL;DR: The conceptual aspects, as well as recent developments in fault detection, isolation, and service restoration (FDIR) following an outage in an electric distribution system are surveyed.
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Long-term multi-objective distribution network planning by DG allocation and feeders’ reconfiguration

TL;DR: In this paper, the authors proposed a long-term planning method to maximize the benefits of network reconfiguration and distributed generation (DG) allocation in distribution networks, taking into account the uncertainty related to renewable DG output power and the load variability.
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A new rooted tree optimization algorithm for economic dispatch with valve-point effect

TL;DR: In this paper, a root tree optimization algorithm (RTO) is proposed to solve the economic dispatch problem with constraints, such as ramp rate limits, prohibited operating zones and the valve point effect.
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Optimal planning of combined heat and power systems within microgrids

TL;DR: In this paper, an optimal deployment with respect to capacity sizes and types of DG for CHP (combined heat and power) systems within micro-grids was presented, where the objective was to simultaneously minimize the total net present cost and carbon dioxide emission.