Exponential hybrid mutation differential evolution for economic dispatch of large-scale power systems considering valve-point effects-Reference-Cited by-同舟云学术

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Exponential hybrid mutation differential evolution for economic dispatch of large-scale power systems considering valve-point effects

Published:2023-12 Issue:24 Volume:53 Page:31046-31064
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Lv Derong,Xiong Guojiang^ORCID,Fu Xiaofan,Al-Betar Mohammed Azmi,Zhang Jing,Bouchekara Houssem R. E. H.,Chen Hao

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guizhou Province

Open Project Program of Key Laboratory of Industrial Internet of Things & Networked Control, Ministry of Education

Open Project Program of Fujian Provincial Key Laboratory of Intelligent Identification and Control of Complex Dynamic System

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

https://link.springer.com/content/pdf/10.1007/s10489-023-05180-5.pdf

Reference63 articles.

1. Hosseini-Hemati S, Beigvand SD, Abdi H, Rastgou A (2022) Society-based grey wolf optimizer for large scale combined heat and power economic dispatch problem considering power losses. Appl Soft Comput 117:108351

2. Kunya AB, Abubakar AS, Yusuf SS (2023) Review of economic dispatch in multi-area power system: State-of-the-art and future prospective. Electr Power Syst Res 217:109089

3. Jin T, Chen X, Wen J, Wu Q, Bai L, Liu Y, Cao Y (2021) Improved ramping and reserve modeling of combined heat and power in integrated energy systems for better renewable integration. IEEE Trans Sustain Energy 13(2):683–692

4. Yang Q, Liu P, Zhang J, Dong N (2022) Combined heat and power economic dispatch using an adaptive cuckoo search with differential evolution mutation. Appl Energy 307:118057

5. Ding T, Zhang X, Lu R, Qu M (2022) Multi-Stage Distributionally robust stochastic dual dynamic programming to multi-period economic dispatch with virtual energy storage. IEEE Trans Sustain Energy 13(1):146–158

Cited by 3 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. A novel differential evolution algorithm based on periodic intervention and systematic regulation mechanisms;Applied Intelligence;2024-09-02

2. Social small group optimization algorithm for large-scale economic dispatch problem with valve-point effects and multi-fuel sources;Applied Intelligence;2024-06-25

3. Multi-objective optimization scheduling based on renewable energy uncertainty scenarios for the reliability of power system operation;2024 36th Chinese Control and Decision Conference (CCDC);2024-05-25

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