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Mathematical modelling of bio-inspired frog leap optimization algorithm for transmission expansion planning
Smita Shandilya1, Ivan Izonin2, Shishir Kumar Shandilya3
1Department of Electrical & Electronics Engineering, Sagar Institute of Research and Technology, India.
Mathematical Biosciences and Engineering : MBE
|June 22, 2022
Summary
This study introduces an enhanced shuffled frog leap algorithm for optimal electricity transmission expansion planning. The novel approach minimizes costs and identifies ideal routes while meeting grid constraints.
Area of Science:
- Electrical Engineering
- Computational Intelligence
- Optimization Theory
Background:
- Modern electricity grids face complex transmission expansion planning challenges.
- Cost allocation in deregulated electricity markets is a critical issue.
- Real-time multi-objective optimization is essential for grid efficiency.
Purpose of the Study:
- To develop an optimized approach for transmission expansion planning.
- To minimize total investment and expansion costs under N-1 contingency.
- To propose an enhanced shuffled frog leap algorithm for improved planning.
Main Methods:
- Mathematical modeling of the shuffled frog leap algorithm.
- Application of modifications to refine algorithm results.
- Development of a novel, target-based evolution approach.
Main Results:
- The enhanced algorithm produced superior expansion plans.
- Effectively considered typical, modern, and realistic electrical constraints.
- Demonstrated improved performance on standard datasets (Garver, IEEE 24 bus).
Conclusions:
- The proposed algorithm offers an effective solution for transmission expansion planning.
- The enhanced shuffled frog leap algorithm improves cost minimization and constraint satisfaction.
- This method provides a robust framework for modern grid planning.
Keywords:
enhanced modified shuffled frog leap algorithmfrog leap optimizationmeta heuristic approachmodified shuffled frog leap algorithmMore Related Videos
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