Optimal Scheduling of Wind-Photovoltaic- Pumped Storage Joint Complementary Power Generation System Based on Improved Firefly Algorithm-Reference-Cited by-同舟云学术

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Optimal Scheduling of Wind-Photovoltaic- Pumped Storage Joint Complementary Power Generation System Based on Improved Firefly Algorithm

Published:2024 Issue: Volume:12 Page:70759-70772
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Sun Liyuan¹,Bao Jing²^ORCID,Pan Nan³^ORCID,Jia Ruiyi²^ORCID,Yang Junwei⁴

Affiliation:

1. Measurement Center, Kunming, Yunnan, China

2. Faculty of Civil Aviation and Aeronautics, Kunming University of Science and Technology, Kunming, Yunnan, China

3. Faculty of Transportation Engineering, Kunming University of Science and Technology, Kunming, Yunnan, China

4. LongShine Technology Group Company Ltd., Wuxi, China

Funder

Science and Technology Project of China Southern Power Grid Company Ltd.,

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10531746.pdf?arnumber=10531746

Reference41 articles.

1. Maximizing hosting capacity of renewable energy sources in distribution networks: A multi-objective and scenario-based approach

2. A review of energy storage technologies for wind power applications

3. Multi-objective coordinated optimization of power system with wind power accommodation

4. An optimal combined operation scheme for pumped storage and hybrid wind-photovoltaic complementary power generation system

5. Design and analysis of an integrated concentrated solar and wind energy system with storage

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Flexible interactive control method for multi-scenario sharing of hybrid pumped storage-wind-photovoltaic power generation;Journal of Energy Storage;2024-10

2. A Two-Stage Robust Short-Term Optimal Scheduling Method for Security Constrained Multi-Source Collaborate Power System;2024 6th International Conference on Energy Systems and Electrical Power (ICESEP);2024-06-21

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