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Synthesis of swarm based algorithms for the design of LFC in interconnected power systems

Authors: YOUSFI Boutheina; DELASSI Abdelmoumene; ARIF Salem;

Synthesis of swarm based algorithms for the design of LFC in interconnected power systems

Abstract

This paper presents a synthesis of recently developed swarm algorithms known as Salp Swarm Algorithm (SSA), Grasshopper optimization Algorithm (GOA), Whale optimization Algorithm (WOA), and Grey Wolf optimizer (GWO) for an optimal design of the Proportional Integral Derivative with Filter (PIDF) controller for the Load Frequency Control (LFC) of interconnected power systems.Investigations have been carried out on three areas reheat thermal system with the consideration of the Generation Rate Constraints (GRC) and Governor Dead Band (GDB) for more realistic study. The Integral of the Squared Error (ISE) and the Integral of the Absolute Error $(L4E)$ have been used as a performance index. The effectiveness of the investigated algorithms been examined through a load disturbance in the first area. From the obtained results, one can conclude that all the transient responses almost converge to the same values.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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