Optimal Placement of Capacitor Using Backward/Forward Sweep Method

Parmar, P.; Patel, Chintan R.

doi:10.1007/978-981-10-6977-2_23

Cited by 5 publications

(2 citation statements)

References 8 publications

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“…For load flow calculations, the backward/forward sweep method is used [42]. The objective aims to minimize the total energy cost annually over 24 years under three scenarios: the first scenario involves only capacitor banks (CBs), the second scenario includes only distributed generation (DG), and the third scenario combines both CBs and DG units.…”

Section: Objective Functionmentioning

confidence: 99%

Optimal Allocation of Capacitor Banks and Distributed Generation: A Comparison of Recently Developed Metaheuristic Optimization Techniques on the Real Distribution Networks of ALG-AB-Hassi Sida, Algeria

Fettah,

Guia,

Salhi

et al. 2024

Sustainability

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Recent advancements in renewable energy technologies, alongside changes in utility infrastructure and progressive government policies, have bolstered the integration of renewable-based distributed generation units within distribution systems. This paper introduces the Energy Valley Optimizer, a novel tool designed for the strategic placement of distributed generation units and capacitor banks. This placement is crucial not only for optimizing energy loss and enhancing bus voltage stability but also for promoting sustainable energy use and reducing environmental impact over the long term. By minimizing energy loss and voltage fluctuations, the optimizer contributes to a more sustainable and resilient energy system. It achieves this through the optimal allocation of resources across various load patterns within a 24 h period and is tested on the ALG-AB-Hassi-Sida 157-bus distribution network in South Algeria. Comparative analysis with existing algorithms—such as the Liver Cancer Algorithm, Walrus Optimization Algorithm, and Zebra Optimization Algorithm—demonstrates the superior performance of the Energy Valley Optimizer. It not only enhances technical and economic efficiencies but also significantly lowers the total cost of energy over 24 years, thus supporting sustainable development goals in energy management.

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Section: Objective Functionmentioning

confidence: 99%

Optimal Allocation of Capacitor Banks and Distributed Generation: A Comparison of Recently Developed Metaheuristic Optimization Techniques on the Real Distribution Networks of ALG-AB-Hassi Sida, Algeria

Fettah,

Guia,

Salhi

et al. 2024

Sustainability

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show abstract

“…Preventive measures like "feeder reconfiguration" [4], [5] and "capacitor bank/DG placement" [6] may be employed to reduce high power loss and low voltage profile respectively. Distribution systems have various tie-switches which may be opened/closed in such a manner that the power loss is minimized which inherently improves voltage profile.…”

Section: Introductionmentioning

confidence: 99%

Novel Real Valued Improved Coral-Reef Optimization Algorithm for Optimal Integration of Classified Distributed Generators

Yadav

Verma

Joshi³

2022

IEEE Access

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In recent times, Distributed Generation (DG) penetration, especially, through Renewable Energy Sources (RES) has been growing immensely due to marginal carbon footprints. Furthermore, they make system more reliable by minimizing the voltage deviation of the distribution network. Nevertheless, to exploit the DGs in the best manner, they need to be sited and rated optimally. Diverse solutions exist for the problem mainly classified as: analytical approaches, classical non-linear optimization algorithms and meta-heuristic methods. With the objective of minimizing power loss, this manuscript proposes a novel hybrid meta-heuristics approach: Particle Swarm Optimization-Coral Reef Optimization (PSO-CRO) for identifying an optimum positioning and rating of Type-1, Type-2 & Type-3 DGs (at 0.82 optimal power factor) in IEEE 33, 69 & 118 bus Radial Distributed System (RDS). Furthermore, the results from the proposed hypothesis are compared with its prevalent peers, namely, PSO, CRO, Gravitational Search Algorithm (GSA), PSO-GSA and PSO-Grey Wolf Optimization (PSO-GWO) etc. The results of the proposed algorithm are also compared with the results of GAMS/CONOPT commercial solver. The simulation results prove the robustness, higher efficacy and faster convergence of the proposed method when applied to larger distribution systems.INDEX TERMS radial distribution network, power loss minimization, optimal DG integration, coral reef optimization (CRO), particle swarm optimization (PSO).

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An efficient hybrid multi-population algorithm (HMPA) for enhancing techno-economic benefits

Bouhanik,

Salhi,

Imene

et al. 2024

Soft Comput

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Optimal Placement of Capacitor Using Backward/Forward Sweep Method

Cited by 5 publications

References 8 publications

Optimal Allocation of Capacitor Banks and Distributed Generation: A Comparison of Recently Developed Metaheuristic Optimization Techniques on the Real Distribution Networks of ALG-AB-Hassi Sida, Algeria

Optimal Allocation of Capacitor Banks and Distributed Generation: A Comparison of Recently Developed Metaheuristic Optimization Techniques on the Real Distribution Networks of ALG-AB-Hassi Sida, Algeria

Novel Real Valued Improved Coral-Reef Optimization Algorithm for Optimal Integration of Classified Distributed Generators

An efficient hybrid multi-population algorithm (HMPA) for enhancing techno-economic benefits

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