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Improved Salp Swarm Optimization Algorithm for Damping Controller Design for Multimachine Power System
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DOI：10.1109/ACCESS.2022.3196851.png)
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This paper proposes an improved salp swarm algorithm (ISSA) as an effective metaheuristic method for tackling global optimization issues and damping power system oscillations. In the suggested ISSA, new equations are introduced to update the location of the leader and followers. This modification improves the method's exploration possibilities while also preventing it from converging prematurely. Benchmark test functions are used to confirm the proposed algorithm's performance, and the results are compared to SSA and other effective optimization algorithms. According to the extensive comparisons, the enhanced ISSA algorithm has higher convergence accuracy and stability than the original SSA and other researched algorithms. Furthermore, the feasibility and efficiency of the proposed method were demonstrated by the simultaneous coordinated design of UPFC based damping controllers. For the two-area, four-machine system, the experimental findings are provided. Simulation experiments reveal that ISSA designed controllers outperform those created using other methods.
Keyword:
Power system stability
Damping
Oscillators
Mathematical models
Time complexity
Heuristic algorithms
Stability criteria
Damping
UPFC
salp swarm optimizer
stability
期刊
IF:
3.6
论文数:
9.8W
被引数:
29.4W
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引用论文
A Novel Hybrid Sine Cosine Algorithm and Pattern Search for Optimal Coordination of Power System Damping Controllers.png)
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