Multi-Objective Optimal Power Flow Based on Hybrid Firefly-Bat Algorithm and Constraints- Prior Object-Fuzzy Sorting Strategy

Multi-Objective Optimal Power Flow Based on Hybrid Firefly-Bat Algorithm and Constraints- Prior Object-Fuzzy Sorting Strategy

In this paper, a novel hybrid firefly-bat algorithm with constraints-prior object-fuzzy sorting strategy (HFBA-COFS) is put forward to solve the strictly-constrained multi-objective optimal power flow (MOOPF) problems. The hybrid firefly-bat algorithm (HFBA) integrates the dimension-based firefly al...

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Bibliographic Details
Main Authors: Gonggui Chen, Jie Qian, Zhizhong Zhang, Zhi Sun
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Hybrid firefly-bat algorithm
constraints-prior object-fuzzy sorting strategy
multi-objective optimal power flow problem
economic operation
Online Access:https://ieeexplore.ieee.org/document/8847433/

Internet

https://ieeexplore.ieee.org/document/8847433/

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