A Novel Cohesive Swarm Intelligence Bat Optimization (CSIBO) Algorithm for Handling an Economic Load Dispatch Problems in Energy Systems-Reference-Cited by-同舟云学术

A Novel Cohesive Swarm Intelligence Bat Optimization (CSIBO) Algorithm for Handling an Economic Load Dispatch Problems in Energy Systems

Published:2024-03-15 Issue: Volume: Page:1335-1342
ISSN:
Container-title:2024 2nd International Conference on Disruptive Technologies (ICDT)
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Author:

Kumar Pitchala Vijaya¹,C Shilaja¹,C Ashok²,Pramila R Priyanka³,Anitha G.⁴^ORCID,N HARIHARAN⁵

Affiliation:

1. Kalasalingam Academy of Research and Education,Department of Electrical and Electronics Engineering,Krishnankoil,Tamilnadu,India

2. Vel Tech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering College,Department of Electronics and Communication Engineering,Chennai,Tamilnadu,India,600062

3. R.M.K. Engineering College,Department of Artificial Intelligence and Data Science

4. ECE, R.M.D., Engineering College

5. S&H(Electrical And Electronics Engineering), R.M.K.College of Engineering and Technology

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10488912/10488915/10489067.pdf?arnumber=10489067

Reference27 articles.

1. Optimization of load dispatch strategies for an islanded microgrid connected with renewable energy sources

2. Integrated Renewable Energy System for Stand-Alone Operations with Optimal Load Dispatch Strategy

3. Newly-Developed Swarm Intelligence Algorithms Applied to Renewable Energy-Based Load Dispatch Real-World Problems

4. Integration of renewable energy sources in dynamic economic load dispatch problem using an improved fireworks algorithm

5. Economic load dispatch of renewable energy-based power systems with high penetration of large-scale hydropower station based on multi-agent glowworm swarm optimization