An Improved Bare Bone Multi-Objective Particle Swarm Optimization Algorithm for Solving Stochastic Wind-Solar-Small Hydro Power Dispatch Problems-Reference-Cited by-同舟云学术

An Improved Bare Bone Multi-Objective Particle Swarm Optimization Algorithm for Solving Stochastic Wind-Solar-Small Hydro Power Dispatch Problems

Published:2023-02-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 15th International Conference on Machine Learning and Computing
language:
Short-container-title:

Author:

Niu Qun¹^ORCID,Tang Lipeng¹^ORCID,Yang Zhile²^ORCID

Affiliation:

1. Shanghai University, Shanghai Key Laboratory of Power Station Automation Technology, China

2. Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China

Funder

the National Nature Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3587716.3587724

Reference15 articles.

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2. Abul'Wafa Ahmed R. Optimization of economic/emission load dispatch for hybrid generating systems using controlled Elitist NSGA-II. Elec Power Syst Res 2013;105:142e51. Abul'Wafa Ahmed R. Optimization of economic/emission load dispatch for hybrid generating systems using controlled Elitist NSGA-II. Elec Power Syst Res 2013;105:142e51.

3. Metaheuristic Moth-Flame Optimization Applied on Renewable Wind Energy Incorporating Load Transmit Penetration

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5. Optimization Hydro-Thermal-Wind-PV Solar Using MOPSO Algorithm Applied to Economic/ Environmental Dispatch