Sensitive reactive power dispatch solution accomplished with renewable energy allocation using an enhanced coyote optimization algorithm

Abaza, Amlak; Fawzy, Asmaa; El‐Sehiemy, Ragab A.; Alghamdi, Ali S.; Kamel, Salah

doi:10.1016/j.asej.2020.08.021

Cited by 27 publications

(10 citation statements)

References 44 publications

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“…It is shown from Fig. (7) that Nernst coefficients magnitude (charge, spin, valley) are quite high at certain values of the gate voltage. This enhancement of present Nernst coefficients might be due the effects of the applied electric current and ferromagnetic exchange magnetic field of the ferromagnetic silicene [67], [68].…”

Section: Resultsmentioning

confidence: 90%

“…Added to that, the environmental concerns and economic constrains initiate many research efforts in different aspects. Many efforts are investigated for involving the different types of renewable energy resources into electrical grid for enhancing the overall system performance as for solving the optimal power flow [1], modeling of solar cells and modules [2]for improving the efficiency of radial distribution systems with wind power existence [3], [4], for economic and environmental concerns [5], for considering the economic concerns in emergency events [6], and for solving reactive power problem with renewable energy resources [7]. The need of flexible renewable energy generation acts an important issue to assure acceptable performance of renewable energy resources.…”

Section: Introductionmentioning

confidence: 99%

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Ferromagnetic Silicene Superlattice Based Thermoelectric Flexible Renewable Energy Generator Device

2021

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The object of the current research manuscript is to analyze the valley-spin thermoelectric properties and Nernst coefficient at two different temperatures for ferromagnetic silicene superlattice. Photon-assisted tunneling probability is used to identify the resolved thermoelectric parameters including (valley, spin, and charge) electronic thermal conductance, Seebeck coefficient, figure of merit, and also electrical conductance and Nernst coefficient. The results show oscillatory behavior to all investigated parameters. The improved data of Seebeck coefficient (valley, spin, and charge) could be because of quantum confinement effect of the present investigated nanodevice. The figure of merit (valley, spin, and charge) attains quite high values with good high thermoelectric efficiency. The enhancement of Nernst coefficient (valley, spin, and charge) might consider Nernst effect is suitable for thermoelectric heat energy conversion system of the present flexible ferromagnetic silicene superlattice. The ferromagnetic silicene superlattice nanodevices are good candidates for flexible renewable energy generation as demonstrated by this analysis.

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Section: Resultsmentioning

confidence: 90%

Section: Introductionmentioning

confidence: 99%

Ferromagnetic Silicene Superlattice Based Thermoelectric Flexible Renewable Energy Generator Device

2021

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“…The total active and reactive loads of the original system are 3.802 MW and 2.694 MVAR, respectively. Six nonlinear loads are added and located at buses (12,26,27,28,43,49,53, and 63) in the system shown in Figure 7. Four DG units are also considered to be installed at buses (28, 44, 47, and 53) each one has a capacity equals to (190.1 + j 134.7) kVA.…”

Section: Test Distribution Systemsmentioning

confidence: 99%

“…To effectively analyze the harmonic distortion in the distribution systems, load-flow and harmonic load flow studies are of prime importance. Therefore, various load flow and harmonic load flow methods are presented for analyzing different topologies of radial distribution systems as in [12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Optimal Harmonic Mitigation in Distribution Systems with Inverter Based Distributed Generation

Abbas¹,

El‐Sehiemy

El‐Ela

et al. 2021

Applied Sciences

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In recent years, with the widespread use of non-linear loads power electronic devices associated with the penetration of various renewable energy sources, the distribution system is highly affected by harmonic distortion caused by these sources. Moreover, the inverter-based distributed generation units (DGs) (e.g., photovoltaic (PV) and wind turbine) that are integrated into the distribution systems, are considered as significant harmonic sources of severe harmful effects on the system power quality. To solve these issues, this paper proposes a harmonic mitigation method for improving the power quality problems in distribution systems. Specifically, the proposed optimal planning of the single tuned harmonic filters (STFs) in the presence of inverter-based DGs is developed by the recent Water Cycle Algorithm (WCA). The objectives of this planning problem aim to minimize the total harmonic distortion (THD), power loss, filter investment cost, and improvement of voltage profile considering different constraints to meet the IEEE 519 standard. Further, the impact of the inverter-based DGs on the system harmonics is studied. Two cases are considered to find the effect of the DGs harmonic spectrum on the system distortion and filter planning. The proposed method is tested on the IEEE 69-bus distribution system. The effectiveness of the proposed planning model is demonstrated where significant reductions in the harmonic distortion are accomplished.

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“…COA has recently been widely used to solve a variety of optimization applications in electrical networks. 19,[32][33][34][35][36][37][38][39][40] It has been performed to design the fuel cell model 25 and high voltage transformers. 26 In Reference 27, it has been implemented for treating the dispatch problem integrated with renewable wind power.…”

Section: Introductionmentioning

confidence: 99%

Multiobjective coyote optimization algorithm for techno‐economic simultaneous placement of DGs and FCLs in distribution networks

El‐Ela¹,

El‐Sehiemy

Shaheen

et al. 2021

Int Trans Electr Energ Syst

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In this paper, a multi-objective coyote optimization algorithm (MOCOA) is proposed for techno-economic benefits of simultaneous placement of fault current limiters (FCLs) and distributed generation (DGs) units in distribution grids. The proposed MOCOA is employed for mitigating the loss of power in distribution lines, minimizing the fault current levels, minimizing the economic costs of FCL size, enhancing the total voltage stability index, and reducing the total voltage deviation. The MOCOA is enhanced by emerging the concept of pareto-optimal dominance to store the distinguished solutions in each generation. Finally, TOPSIS, a technique is implemented to find the compromise solution to fulfill the operator requirements. Applications are carried out in three distribution systems. The simulation results show the great effectiveness of the proposed MOCOA in acquiring several alternatives with appropriate technical improvements in power losses, voltage stability, fault level reduction, and economical FCL size.

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Sensitive reactive power dispatch solution accomplished with renewable energy allocation using an enhanced coyote optimization algorithm

Cited by 27 publications

References 44 publications

Ferromagnetic Silicene Superlattice Based Thermoelectric Flexible Renewable Energy Generator Device

Ferromagnetic Silicene Superlattice Based Thermoelectric Flexible Renewable Energy Generator Device

Optimal Harmonic Mitigation in Distribution Systems with Inverter Based Distributed Generation

Multiobjective coyote optimization algorithm for techno‐economic simultaneous placement of DGs and FCLs in distribution networks

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