Controlling of transient and harmonics using UPFC in an interconnected power grid

Dhara, Saumen; Sadhu, Pradip Kumar; Shrivastav, Alok Kumar

doi:10.1007/s00542-022-05374-w

Cited by 6 publications

(2 citation statements)

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“…WOA developed a helix function to help people discover the best answer to problems by studying whale predation behavior [28]. Equation (12) shows the update function (12).…”

Section: Constrained Variables and Decision-makingmentioning

confidence: 99%

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A Multi-Objective Approach to Hybrid Renewable Energy Systems: Cascading Hydropower for Solar and Wind Variability Compensation

et al. 2024

E3S Web of Conf.

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Renewable energy sources like solar and wind face an insurmountable obstacle in the form of environmental change-induced discontinuity and instability. Since hydropower is quick to respond and doesn't cost much to alter, it was a common choice for electric energy system correction. A cascade hydropower (CHP) station compensates the hydro power-solar-wind energy system that we present in this study, which considers several long-term goals. Among the model's objectives is the optimization of the power system's annual total power generation while simultaneously minimizing power output variations. As a prerequisite for optimizing hydropower, this model first determines the total Photovoltaic (PV) and wind power, and then feeds those numbers into the power grid. In order to obtain a set of solutions for the model that has been proposed, we suggest an enhanced non-dominated sorting whale optimization algorithm (NSWOA). According to the findings, decision-makers have access to a plethora of options for optimal selection through the revised NSWOA, and hydropower's superior modifying capabilities more than compensate for the PV and wind power's deficiencies.

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“…WOA developed a helix function to help people discover the best answer to problems by studying whale predation behavior [28]. Equation (12) shows the update function (12).…”

Section: Constrained Variables and Decision-makingmentioning

confidence: 99%

“…In practice, there are a number of goals that are considered concurrently with total power generation maximization. When faced with MOPs, one prevalent approach is to employ multi objective evolutionary algorithms (MOEAs) [11,12]. Authors [13] using an elitist multi-objective non-dominated sorting genetic algorithm (NSGA-⅍).…”

Section: Introductionmentioning

confidence: 99%

A Multi-Objective Approach to Hybrid Renewable Energy Systems: Cascading Hydropower for Solar and Wind Variability Compensation

et al. 2024

E3S Web of Conf.

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A Review on Role of Soft Computing (SC) Techniques in Microgrid Energy Management Systems

Paul,

Ghosh,

Bhowmick

et al. 2024

Lecture Notes in Electrical Engineering

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Radial basis function network based PV and wind system using maximum power point tracking

2023

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Controlling of transient and harmonics using UPFC in an interconnected power grid

Cited by 6 publications

References 50 publications

A Multi-Objective Approach to Hybrid Renewable Energy Systems: Cascading Hydropower for Solar and Wind Variability Compensation

A Multi-Objective Approach to Hybrid Renewable Energy Systems: Cascading Hydropower for Solar and Wind Variability Compensation

A Review on Role of Soft Computing (SC) Techniques in Microgrid Energy Management Systems

Radial basis function network based PV and wind system using maximum power point tracking

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