Reliability Dispatching of Distributed Energy Resource Based on Improved Whale Algorithm for Distribution Networks

In an effort to boost the reliability of power supply in distribution systems, this study introduces an optimized scheduling model for distributed resources in distribution networks. This model is grounded on an enhanced whale optimization algorithm, designed to counteract the algorithm's tendencies toward local optima and its insufficient convergence precision, with the objective of maximizing power supply reliability. Initially, the model accommodates the large-scale integration of distributed resources into the distribution network. Subsequently, the whale optimization algorithm is refined by adjusting the convergence factor and inertia weight. The enhanced algorithm is then utilized to solve the model. The outcomes demonstrate the efficacy of the proposed improved whale optimization algorithm in significantly enhancing the reliability of power supply in advanced distribution systems.

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Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/appeec61255.2024.10922401
Primary Topic
Smart Grid and Power Systems
Type
article
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article

Reliability Dispatching of Distributed Energy Resource Based on Improved Whale Algorithm for Distribution Networks

Fan Yang, Wei Chai, R. Xue
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Smart Grid and Power Systems
article

Reliability Dispatching of Distributed Energy Resource Based on Improved Whale Algorithm for Distribution Networks

Fan Yang, Wei Chai, R. Xue
article en

Abstract

In an effort to boost the reliability of power supply in distribution systems, this study introduces an optimized scheduling model for distributed resources in distribution networks. This model is grounded on an enhanced whale optimization algorithm, designed to counteract the algorithm's tendencies toward local optima and its insufficient convergence precision, with the objective of maximizing power supply reliability. Initially, the model accommodates the large-scale integration of distributed resources into the distribution network. Subsequently, the whale optimization algorithm is refined by adjusting the convergence factor and inertia weight. The enhanced algorithm is then utilized to solve the model. The outcomes demonstrate the efficacy of the proposed improved whale optimization algorithm in significantly enhancing the reliability of power supply in advanced distribution systems.

Shanghai Electric (China) (CN)
Openalex Percentile: Top 73%
Smart Grid and Power Systems
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