Hassane El Markhi
Sidi Mohamed Ben Abdellah University, Fez

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Optimizing distribution system performance: A comprehensive review of power loss minimization techniques Moufid, Ismail; En-nay, Zineb; Naciri, Soukaina; El Markhi, Hassane
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i2.pp710-718

Abstract

This article presents a thorough examination of contemporary techniques aimed at minimizing losses in distribution networks by strategically allocating capacitors, distributed generators (DG), and distribution static synchronous compensators (DSTATCOM). Through an extensive review of background literature and the analysis of current methodologies, the study distills insights from research articles spanning four decades. The survey encompasses diverse single and multi-objective methods, considering various constraints in addressing the distribution system loss minimization problem. Key findings emphasize the effectiveness of capacitor allocation in high voltage distribution networks, the efficiency of DG allocation in integrating small-scale generation, and the growing interest in DSTATCOM allocation for its advantages over traditional capacitor allocation. Particular attention is given to simultaneous techniques, identified as the most efficient approach for enhancing overall system performance.
Design and implementation of smart meter for optimizing and managing electrical energy in Morocco Bagayogo, Alhussein; Kabouri, Omar; El Makrini, Aboubakr; Azeroual, Mohamed; El Markhi, Hassane
International Journal of Electrical and Computer Engineering (IJECE) Vol 16, No 2: April 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v16i2.pp663-674

Abstract

The growth of renewable energy sources necessitates the use of accurate and fast smart meter solutions. This article presents a low-cost internet of things (IoT) based smart meter adapted to the Moroccan electricity grid, supporting bidirectional energy measurement, DLMS/COSEM-based communication and control relays for automated energy flow management. The experimental validation shows a maximum measurement error of less than ±0.5%, satisfying the IEC-oriented accuracy requirements. The measured end-to-end latency is approximately 700 ms, including data acquisition (≈450 ms), signal processing (≈60 ms), data serialization (≈75 ms), network transmission (≈90 ms), and server-side processing (≈25 ms). These results demonstrate that the proposed system allows an almost real-time monitoring and control of imported and exported energy, which makes it suitable for the integration of residential renewable energies and the application of smart grids.