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Shady H. E. Abdel Aleem; Ahmed F. Zobaa; Murat E. Balci; Sherif M. Ismael. Harmonic Overloading Minimization of Frequency-Dependent Components in Harmonics Polluted Distribution Systems Using Harris Hawks Optimization Algorithm. IEEE Access 2019, 7, 100824 -100837.
AMA StyleShady H. E. Abdel Aleem, Ahmed F. Zobaa, Murat E. Balci, Sherif M. Ismael. Harmonic Overloading Minimization of Frequency-Dependent Components in Harmonics Polluted Distribution Systems Using Harris Hawks Optimization Algorithm. IEEE Access. 2019; 7 ():100824-100837.
Chicago/Turabian StyleShady H. E. Abdel Aleem; Ahmed F. Zobaa; Murat E. Balci; Sherif M. Ismael. 2019. "Harmonic Overloading Minimization of Frequency-Dependent Components in Harmonics Polluted Distribution Systems Using Harris Hawks Optimization Algorithm." IEEE Access 7, no. : 100824-100837.
The high penetration of distributed generation (DG) units with their power-electronic interfaces may lead to various power quality problems, such as excessive harmonic distortions and increased non-sinusoidal power losses. In this paper, the probabilistic hosting capacity (PHC) due to the high penetration of photovoltaic units in a non-sinusoidal power distribution system is investigated. A C-type harmonic filter is proposed, to maximize the harmonic-constrained PHC. An optimization problem is formulated by using a Monte Carlo simulation, taking into account various uncertain parameters, such as the intermittent output power of the DGs, background voltage harmonics, load alteration, and the filter parameters’ variations. In addition, different operational constraints have been considered, such as the bus voltage, line thermal capacity, power factor, and individual and total harmonic distortion limits. A swarm-based, meta-heuristic optimization algorithm known as the hybrid particle swarm optimization and gravitational search algorithm (PSOGSA) has been examined for the optimal design of the proposed filter. Besides, other optimization algorithms were examined for validation of the solution. The PHC results obtained are compared with the conventional deterministic HC (DHC) results, and it is found that the PHC levels are higher than those obtained by conservative HC procedures, practical rules of thumb, and the DHC approaches.
Sherif M. Ismael; Shady H. E. Abdel Aleem; Almoataz Y. Abdelaziz; Ahmed F. Zobaa. Probabilistic Hosting Capacity Enhancement in Non-Sinusoidal Power Distribution Systems Using a Hybrid PSOGSA Optimization Algorithm. Energies 2019, 12, 1018 .
AMA StyleSherif M. Ismael, Shady H. E. Abdel Aleem, Almoataz Y. Abdelaziz, Ahmed F. Zobaa. Probabilistic Hosting Capacity Enhancement in Non-Sinusoidal Power Distribution Systems Using a Hybrid PSOGSA Optimization Algorithm. Energies. 2019; 12 (6):1018.
Chicago/Turabian StyleSherif M. Ismael; Shady H. E. Abdel Aleem; Almoataz Y. Abdelaziz; Ahmed F. Zobaa. 2019. "Probabilistic Hosting Capacity Enhancement in Non-Sinusoidal Power Distribution Systems Using a Hybrid PSOGSA Optimization Algorithm." Energies 12, no. 6: 1018.
Currently, renewable energy is rapidly developing across the world in response to technical, economic and environmental developments, as well as political and social initiatives. On the other hand, excessive penetration of distributed generation (DG) systems into electrical networks may lead to various problems and operational limit violations, such as over and under voltages, excessive line losses, overloading of transformers and feeders, protection failure and high harmonic distortion levels exceeding the limits of international standards. These problems occur when the system exceeds its hosting capacity (HC) limit. The HC is a transactive approach that provides a way for the distribution network to be integrated with different types of energy systems. Accordingly, HC assessment and enhancements become an essential target for both distribution system operators and DG investors. This paper provides, for the first time, a systematic and extensive overview of the HC research, developments, assessment techniques and enhancement technologies. The paper consists of four HC principal sections: historical developments, performance limits, perceptions and enhancement techniques. Besides, practical experiences of system operators, energy markets and outcomes gained from real case studies are presented and discussed. It was concluded that success in integrating more distributed generation hinges on accurate hosting capacity assessment.
Sherif M. Ismael; Shady H.E. Abdel Aleem; Almoataz Y. Abdelaziz; Ahmed F. Zobaa. State-of-the-art of hosting capacity in modern power systems with distributed generation. Renewable Energy 2018, 130, 1002 -1020.
AMA StyleSherif M. Ismael, Shady H.E. Abdel Aleem, Almoataz Y. Abdelaziz, Ahmed F. Zobaa. State-of-the-art of hosting capacity in modern power systems with distributed generation. Renewable Energy. 2018; 130 ():1002-1020.
Chicago/Turabian StyleSherif M. Ismael; Shady H.E. Abdel Aleem; Almoataz Y. Abdelaziz; Ahmed F. Zobaa. 2018. "State-of-the-art of hosting capacity in modern power systems with distributed generation." Renewable Energy 130, no. : 1002-1020.
The high penetration level of distributed generation (DG) units may lead to various problems and operational limit violations in electric power distribution systems if it exceeds a particular limit known as the system's hosting capacity (HC). In this paper, the problem of selecting the optimal conductor for a real radial distribution system in Egypt is investigated using a recent meta-heuristic algorithm, known as salp swarm optimization. First, a constrained optimization problem is introduced to minimize the combined annual cost of energy losses and the investment cost of the conductors while complying with the system voltage limits and conductor thermal capacities. The results obtained show the effectiveness of the algorithm in satisfying the objective function and constraints. However, the optimization results also show that a reduction in the size of some existing conductors should take place, although this is not allowed by the utilities because of practical reasons such as load growth, variations in loading scenarios, and the possibility of connecting DG units with uncertain penetration levels and locations. Hence, a practical feeder reinforcement approach is proposed to maintain the constraints while considering these uncertainties. Further, a novel feeder reinforcement index is proposed to assist the distribution system operators and planners to determine the feeders that first need to be reinforced. The results obtained show that the proposed reinforcement approach attains a better level of HC than can be obtained with the conventional conductor selection approach under the same testing conditions.
Sherif M. Ismael; Shady H. E. Abdel Aleem; Almoataz Y. Abdelaziz; Ahmed Faheem Zobaa. Practical Considerations for Optimal Conductor Reinforcement and Hosting Capacity Enhancement in Radial Distribution Systems. IEEE Access 2018, 6, 27268 -27277.
AMA StyleSherif M. Ismael, Shady H. E. Abdel Aleem, Almoataz Y. Abdelaziz, Ahmed Faheem Zobaa. Practical Considerations for Optimal Conductor Reinforcement and Hosting Capacity Enhancement in Radial Distribution Systems. IEEE Access. 2018; 6 ():27268-27277.
Chicago/Turabian StyleSherif M. Ismael; Shady H. E. Abdel Aleem; Almoataz Y. Abdelaziz; Ahmed Faheem Zobaa. 2018. "Practical Considerations for Optimal Conductor Reinforcement and Hosting Capacity Enhancement in Radial Distribution Systems." IEEE Access 6, no. : 27268-27277.
The increasing cost of electricity generation and the limitations of fossil fuel resources made it necessary to optimize the design and operation of distribution systems to guarantee the lowest possible technical and nontechnical electric losses. In this regard, optimal conductor selection can reduce the electrical power loss, while enhancing the voltage profile in a cost-effective manner. In this chapter, a comprehensive overview of the optimal conductor selection problem is presented. Further, a novel approach is proposed to solve the optimal conductor selection problem of radial distribution networks using a recent meta-heuristic algorithm, known as grasshopper optimization (GO) algorithm. A recent conductors’ library is introduced based on actual manufacturer data that includes 29 different types of conductors. The objective function is to minimize the combined annual cost of energy loss and investment cost of the conductors. The considered constraints are the bus voltage limits and the conductors’ current carrying capacities. The proposed approach is applied to two different systems; the first one is a small-scale 26-bus system and the second is a large-scale 85-bus system. The obtained results are compared with other results available in the literature to show the effectiveness of the proposed algorithm in reducing the network losses and maximizing overall savings, while maintaining the specified constraints with high annual load growth scenarios.
Sherif M. Ismael; Shady H.E. Abdel Aleem; Almoataz Y. Abdelaziz; Ahmed F. Zobaa. Optimal Conductor Selection of Radial Distribution Feeders: An Overview and New Application Using Grasshopper Optimization Algorithm. Classical and Recent Aspects of Power System Optimization 2018, 185 -217.
AMA StyleSherif M. Ismael, Shady H.E. Abdel Aleem, Almoataz Y. Abdelaziz, Ahmed F. Zobaa. Optimal Conductor Selection of Radial Distribution Feeders: An Overview and New Application Using Grasshopper Optimization Algorithm. Classical and Recent Aspects of Power System Optimization. 2018; ():185-217.
Chicago/Turabian StyleSherif M. Ismael; Shady H.E. Abdel Aleem; Almoataz Y. Abdelaziz; Ahmed F. Zobaa. 2018. "Optimal Conductor Selection of Radial Distribution Feeders: An Overview and New Application Using Grasshopper Optimization Algorithm." Classical and Recent Aspects of Power System Optimization , no. : 185-217.