A Modified Hybrid Particle Swarm Optimization With Bat Algorithm Parameter Inspired Acceleration Coefficients for Solving Eco-Friendly and Economic Dispatch Problems

A Modified Hybrid Particle Swarm Optimization With Bat Algorithm Parameter Inspired Acceleration Coefficients for Solving Eco-Friendly and Economic Dispatch Problems

The paper presents a modified hybrid particle swarm optimization with bat algorithm parameter inspired acceleration coefficients (MHPSO-BAAC) without and with the constriction factor to find the optimal solution of the economic dispatch problems (EDPs) incorporating conventional as well as hybrid an...

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Bibliographic Details
Main Authors: Manzoor Ellahi, Ghulam Abbas, Gandeva Bayu Satrya, M. Rehan Usman, Jason Gu
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Emission-economic dispatch (EED)
HPSO-BAAC
regional load sharing dispatch (RLSD)
optimal economic dispatch (OED)
prohibited operating zones (POZs)
ramp-rate limits (RRLs)
Online Access:https://ieeexplore.ieee.org/document/9446102/

Internet

https://ieeexplore.ieee.org/document/9446102/

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