Optimal distribution power flow including shunt capacitor allocation based on voltage deviation and power loss minimization

Boktor, Christeen G.; Youssef, Abdel‐Raheem; Ali, Asmaa H.; Kamel, Salah

doi:10.1109/mepcon.2017.8301288

Cited by 9 publications

(4 citation statements)

References 18 publications

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“…Researches such as in [25]- [28] proposed algorithms to find optimal size and location of BESS in distribution networks. The authors of [29]- [33] have also developed meta-heuristic algorithms to optimally size and place BESSbased DG units in distribution networks. Independent energy sources such as PVs and wind turbines have also been optimally placed and sized for optimum energy transfer [34].…”

Section: A Energy Sourcesmentioning

confidence: 99%

“…George et al [96] used the ALO-based optimization technique to optimally place fixed shunt capacitors in a distribution system, considering the minimization of total power loss and total annual cost. Boktor et al [33] also utilized the ALO for the optimal placing of shunt capacitors in a distribution network while optimizing the objective functions such as power loss and voltage profile. The ALO was evaluated on the IEEE 33-and 69-bus networks.…”

Section: B Swarm-based Algorithmsmentioning

confidence: 99%

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A Review of Metaheuristic Techniques for Optimal Integration of Electrical Units in Distribution Networks

et al. 2021

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Section: A Energy Sourcesmentioning

confidence: 99%

Section: B Swarm-based Algorithmsmentioning

confidence: 99%

A Review of Metaheuristic Techniques for Optimal Integration of Electrical Units in Distribution Networks

et al. 2021

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“…Calculate F ij using Y bus matrix (4) - (6). (4) where, the complex voltages and currents at the load and generator…”

Section: B Voltage Stability Improvementmentioning

confidence: 99%

“…Several techniques have been presented for solving the problem of the optimal capacitor placement in power system such as analytical, numerical programming, heuristic, artificial intelligence-based techniques [4], Combined Optimization Approach [5], Ant-lion optimization (ALO) [6,7], Analytical Technique [8]- [10], combined algorithm based on Loss Sensitivity Factor and Salp Swarm Algorithm [11], combined algorithm based on Fuzzy Loss Sensitivity Factor with Sine Cosine Algorithm [12]. The genetic algorithm (GA), simulated annealing (SA), artificial immune system (AIS), Pareto Envelopebased Selection Algorithm II (PESA-II) with fuzzy logic decision maker and particle swarm optimization (PSO) have been used to determine the optimal placement of SVC in power system [13] [14].…”

Section: Introductionmentioning

confidence: 99%

Voltage Stability Enhancement Based on Optimal Allocation of Shunt Compensation Devices Using Lightning Attachment Procedure Optimization

Kamel¹,

Youssef²

2019

IJIMAI

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This paper proposes a combined approach to determine the optimal allocation of different shunt compensation devices (shunt capacitor, static var compensator, and static synchronous compensator) in power systems. The developed approach is a combination between Lightning Attachment Procedure Optimization (LAPO) and loss sensitivity indices (LSIs). Different objective functions such as enhancement of voltage stability index, improvement of voltage profile and minimization of total power losses are considered. Two loss sensitivity indices (LSIs) are developed to reduce the search space in all buses and the total computation time. The developed algorithm is validated using standard IEEE 14-bus and IEEE 30-bus test systems. The developed algorithm successes to achieve the objective functions with the better performance compared with other wellknown optimization techniques such as Teaching learning-based optimization (TLBO), genetic algorithm (GA) and particle swarm optimization (PSO).

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Capacity‐based optimization using whale optimization technique of a power distribution network

Simachew

Khan

Guerrero

et al. 2021

Engineering Reports

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In the power distribution network, real power loss and voltage profile management are critical issues. By providing active and reactive power support, both of these issues can be managed. Distributed generation (DG) and capacitor bank (QG) can be utilized to solve these issues. Therefore, this paper utilized optimally placed and sized DG and capacitor (QG) to minimize losses and improve the voltage profile. The overall problem is optimized using an upgraded method of the fitness assignment and solution chasing based on the aggregate approach called multi-objective whale optimization algorithm (MWOA). Wind and solar photovoltaic sources with biomass are utilized as the DG sources with their probabilistic outputs. The developed method is tested using two practical feeders of Bahir Dar city distribution network, Ethiopia. The results of loss minimization and voltage profile enhancement with MWOA are compared with multi-objective particle swam optimization (MPSO) with an equal number of iterations to show the superiority of the developed method.

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Optimal distribution power flow including shunt capacitor allocation based on voltage deviation and power loss minimization

Cited by 9 publications

References 18 publications

A Review of Metaheuristic Techniques for Optimal Integration of Electrical Units in Distribution Networks

A Review of Metaheuristic Techniques for Optimal Integration of Electrical Units in Distribution Networks

Voltage Stability Enhancement Based on Optimal Allocation of Shunt Compensation Devices Using Lightning Attachment Procedure Optimization

Capacity‐based optimization using whale optimization technique of a power distribution network

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