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Wind energy development in Morocco: Evolution and impacts Touria Haidi; Bouchra Cheddadi; Faissal El Mariami; Zineb El Idrissi; Ali Tarrak
International Journal of Electrical and Computer Engineering (IJECE) Vol 11, No 4: August 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v11i4.pp2811-2819

Abstract

Over the past ten years, Morocco has been focusing on developing renewable energy, especially wind power. This new energy policy has enabled it to become, in 2017, the leading country in the Middle East and North Africa region and the second one in Africa in terms of installed wind power capacity. In 2019, Morocco moved for the first time from the status of electricity importer to that of electricity exporter, better yet green electricity. This paper provides a quantitative study of the demand, production and installed power capacity of electrical energy in Morocco over the past two decades. It mainly focuses on the evolution of installed wind power capacity and its share in the global energy mix during this period, as well as its future prospects by year 2030. This article presents a synthesis work based on an updated assessment of the carried-out wind projects and aims to assess the realization of Morocco’s national energy strategy which sets out to achieve 42% of renewable energy by 2020, and more specifically 14% of the overall energy mix being wind energy. It also aims to show the impact of wind energy integration in terms of energy autonomy, industrial integration and CO2 emissions reduction.
Full versus decoupled constant matrices to speed up power system state estimation Meriem Majdoub; Bouchra Cheddadi; Omar Sabri; Abdelaziz Belfqih; Jamal Boukherouaa
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 11, No 3: September 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (668.862 KB) | DOI: 10.11591/ijpeds.v11.i3.pp1287-1297

Abstract

This paper presents a performance evaluation of two solutions to reduce computational burden of the traditional Weighted Least Squares Algorithm for power system state estimation: Simplified methods SWLS1 / SWLS2 based on full constant matrices and Fast decoupled FDWLS based on decoupled constant matrices. First, the algorithms were tested on IEEE 14 and 118 bus transmission systems. Second, the solutions were tested on a rural distribution feeder to evaluate the response of the algorithms to high R/X ratio. Results show that for transmission systems, FDWLS is the fastest method but more sensitive to erroneous measurements. Simplifications considered in FDWLS, are not valid in distribution systems with high R/X ratio this results in slowing down the algorithm convergence speed considerably compared to SWLS2 which performs well. SWLS2 algorithm presents a promising solution to reduce computation time for application in future smart grid.