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Journal Article
Hamdy, M., M. Elshahed, D. Khali, and E. E. - D. A. El-Zahab, "Stochastic Unit Commitment Incorporating Demand Side Management and Optimal Storage Capacity", Iranian Journal of Science and Technology, Transactions of Electrical Engineering, vol. 43, issue 1, pp. S559–S571, 2019. Abstract

High penetration of wind energy imposes several operational challenges due to its uncertainty and intermittent nature. Flexible energy resources represent key solutions to compensate for power mismatch associated with wind power (WP) uncertainty and intermittency. This paper proposes a new stochastic unit commitment (SUC) problem formulation including high penetration of wind energy, energy storage system (ESS), and demand side management. Firstly, the Latin hypercube sampling is combined with Cholesky decomposition method to generate different WP scenarios. The simulated scenarios are then reduced using the fast forward selection algorithm. Finally, a novel SUC formulation implements these reduced scenarios to size the ESS optimally, considering its cost and benefit maximization of wind energy. To validate the proposed approach, a nine-unit test system is used to demonstrate the reduction in the operational cost and the increase in the utilized wind energy under different operational conditions.

Younis, R. A., D. K. Ibrahim, E. M.Aboul-Zahab, and A. ’fotouh El'Gharably, "Techno-economic investigation using several metaheuristic algorithms for optimal sizing of stand-alone microgrid incorporating hybrid renewable energy sources and hybrid energy storage system", International Journal on Energy Conversion (I.R.E.CON.), vol. 8, issue 4, pp. 141- 152, 2020. Abstract

Increasing energy demand worldwide has resulted in more penetration of renewable sources for developing non-polluted electric energy despite their prices are not economically competitive to traditional generation systems due to intermittent nature of renewable resources. Energy storage systems are used to counteract the intermittent nature of renewable sources. Therefore, the optimal sizing and design of stand-alone renewable generating systems is a significant concern to get a more cost-effective system. This paper focuses on achieving the optimum design and size of a microgrid to meet the load requirements and reducing the total cost including capital, investment, operational and maintenance costs. For this aim, the sizing problem is formulated to be solved using three well-known metaheuristic algorithms, namely, Particle Swarm Optimization (PSO), Grey Wolf Optimization (GWO) and Cuckoo Search Optimization (CSO). The employed microgrid comprises hybrid renewable energy sources of PV/Wind systems integrated with a hybrid energy storage system of Battery and FC/Electrolyzer set for supplying AC loads located in Zafarana, Egypt. On the basis of real meteorological data of the studied location, the produced energies from the renewable sources are estimated using MATLAB developed algorithms. The simulation results showed that the optimized design using CSO can robustly and efficiently yield the optimal design of a microgrid.

Shazly, J. H., M. A. Mostafa, D. K. Ibrahim, and E. A. E. El Zahab, "Thermal analysis of high-voltage cables with several types of insulation for different configurations in the presence of harmonics", IET Generation, Transmission & Distribution, vol. 11, issue 14: IET Digital Library, pp. 3439 - 3448, 2017. Abstract

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Ibrahim, D. K., E. E. L. - D. A. EL-Zahab, and S. M. Saleh, "Unsynchronized fault-location scheme for nonlinear HIF in transmission lines", IEEE Transactions on Power Delivery, vol. 25, issue 2: IEEE, pp. 631 - 637, 2010. Abstract

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