Comprehensive Review on Renewable Energy Sources in Egypt—Current Status, Grid Codes and Future Vision

Abubakr, Hussein; Vasquez, Juan C.; Mahmoud, Karar; Darwish, Mohamed M. F.; Guerrero, Josep M.

doi:10.1109/access.2022.3140385

Cited by 63 publications

(24 citation statements)

References 107 publications

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“…Based on the SOC, the parking lot is a large battery, whose capacity is defined by the size of the individual parking vehicle batteries' that are shared in the DR program. This big battery is highly stochastic in terms of the EV number and SOC 50–53 . Furthermore, the number itself depends on the incoming and exiting cars.…”

Section: Problem Formulationmentioning

confidence: 99%

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Optimal scheduling of DG and EV parking lots simultaneously with demand response based on self‐adjusted PSO and K‐means clustering

Abo‐Elyousr

Sharaf²,

Darwish

et al. 2022

Energy Science & Engineering

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Recently, the proliferation of distributed generation (DG) has been intensively increased in distribution systems worldwide. In distributed systems, DGs and utility-owned electric vehicle (EV) to grid aggregators have to be efficiently scaled for cost-effective network operation. Accordingly, with the penetration of power systems, demand response (DR) is considered an advanced step towards a smart grid. To cope with these advancements, this study aims to develop an innovative solution for the day-ahead sizing approach of energy storage systems of EVs parking lots and DGs in smart distribution systems complying with DR and minimizing the pertinent costs. The unique feature of the proposed approach is to allow interactive customers to participate effectively in power systems. To accurately solve this optimization model, two probabilistic self-adjusted modified particle swarm optimization (SAPSO) algorithms are developed and compared for minimizing the total operational costs addressing all constraints of the distribution system, DG units, and energy storage systems of EV parking lots. The K-means clustering and the Naive Bayes approach are utilized to determine the EVs that are ready to participate efficiently in the DR program. The obtained results on the IEEE-24 reliability test system are compared to the genetic algorithm and the conventional PSO to verify the effectiveness of the developed algorithms. The results show that the first SAPSO algorithm outperforms the algorithms in terms of minimizing the total running costs. The finding demonstrates that the proposed near-optimal day-ahead scheduling approach of DG units and EV energy storage systems in a simultaneous manner can effectively minimize the total operational costs subjected to generation constraints complying with DR.

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Section: Problem Formulationmentioning

confidence: 99%

“…This big battery is highly stochastic in terms of the EV number and SOC. [50][51][52][53] Furthermore, the number itself depends on the incoming and exiting cars. For this reason, the parking lot battery is simplified by a probability density function (PDF) as will be demonstrated in the next section.…”

Section: On-grid Energy Storage Evs Batteriesmentioning

confidence: 99%

Optimal scheduling of DG and EV parking lots simultaneously with demand response based on self‐adjusted PSO and K‐means clustering

Abo‐Elyousr

Sharaf²,

Darwish

et al. 2022

Energy Science & Engineering

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“…This, in turn, leads to the poor performance of this network, as the currents passing through this network's branches increase more than what is rated, the power losses increase, and the level of the voltage profile decreases dramatically. [1][2][3] This matter is getting worse and worse affected by the forced increase in the load levels, and therefore it is necessary to subject these growing cases to study. [4][5][6][7] 1…”

Section: Introductionmentioning

confidence: 99%

Optimum estimation of series capacitors for enhancing distribution system performance via an improved hybrid optimization algorithm

Mohamed

Abdelaziz

Darwish

et al. 2023

Energy Science & Engineering

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As the load on distribution networks grows, system operators and planners are constantly challenged with the issue of voltage regulation or enhancing the quality of supply to customers at the load end of lengthy distribution lines. This paper presents the optimum determination of series capacitor units in a distribution system to maximize energy-saving and enhance voltage levels. Interestingly, series capacitors can enhance the capability of transmission lines, reduce line losses, enhance the performance of buses with large induction motor loads and reduce voltage flicker. At the same time, the limitations of series compensation are taken into consideration while calculating its optimum values. To achieve the planning objective and optimal load flow objective, two strategies: The Improved Grey Wolf Optimization method (I-GWO) and Tabu Search (TS), are hybridized to get the benefit of their advantages. The I-GWO has a movement strategy called dimension learning-based hunting for enhancing the balance between global and local search and maintaining diversity. The proposed (I-GWO-TS) algorithm can solve mixed-integer programming to achieve the planning and the optimal load flow objectives. The proposed method can be applied to a real Egyptian distribution system that is heavily loaded, with poor voltage regulation, and also has high-power losses. The obtained results demonstrate the capability of the proposed approach to determine optimal series capacitors' location and sizing for maximization of energy saving. Further, the proposed method improves the network performance regarding the voltage profile and power losses, although the limitations of including series compensation were considered in the distribution system.

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“…Nowadays, the large-scale integration of inverter-connected renewable energy such as wind power has radically changed the structure of the power system and posed signifcant challenges to the stability of the power system [1][2][3][4]. Unlike the synchronous generators (SGs), the wind turbine (WT) does not participate in electromechanical oscillations since the wind power generators are separated from the power grids by the power electronic devices.…”

Section: Introductionmentioning

confidence: 99%

Damping Torque Analysis of the PMSG-Based WT with Supplementary Damping Control for Mitigating Interarea Oscillations

Yang

Yuan

et al. 2022

International Transactions on Electrical Energy Systems

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This study presents a comprehensive analysis of the impact that a supplementary damping controller of the permanent magnet synchronous generator (PMSG)-based wind turbine (WT) has on low-frequency oscillation (LFO) damping. A reduced mathematical model of an interarea system is first established. Then, an auxiliary damping controller is designed using the PMSG active power control loop, enabling the WT to actively support the interarea LFO mitigation. Based on this, the damping torque analysis (DTA) method is applied to explore the contribution of the PMSG-based WT with an auxiliary damping controller to LFO damping enhancement, whose analytical expressions of the damping torque coefficients reveal the impacts of the control parameters and the operation conditions on the system damping characteristics. It is evident that the installation location of the wind power plant (WPP) plays a leading role in determining whether the damping provided by the PMSG controller is positive or negative. Also, the contribution of damping from the PMSG can be improved by tuning the droop coefficient of the PMSG controller properly. The results indicate that the proposed damping control is always helpful in improving the system damping when the wind power penetration increases. Accordingly, analytical conclusions can serve as guidelines for the control design. Case studies of a two-area test system integrated with a PMSG-based wind farm have been conducted to verify the theoretical analysis.

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Comprehensive Review on Renewable Energy Sources in Egypt—Current Status, Grid Codes and Future Vision

Abstract: Date of publication xxxx 00, 0000, date of current version xxxx 00, 0000.

Cited by 63 publications

References 107 publications

Optimal scheduling of DG and EV parking lots simultaneously with demand response based on self‐adjusted PSO and K‐means clustering

Optimal scheduling of DG and EV parking lots simultaneously with demand response based on self‐adjusted PSO and K‐means clustering

Optimum estimation of series capacitors for enhancing distribution system performance via an improved hybrid optimization algorithm

Damping Torque Analysis of the PMSG-Based WT with Supplementary Damping Control for Mitigating Interarea Oscillations

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