Research on Joint Operation of Wind and Solar Storage System Based on Genetic Algorithm-Reference-Cited by-同舟云学术

Research on Joint Operation of Wind and Solar Storage System Based on Genetic Algorithm

Published:2022-03-25 Issue: Volume: Page:
ISSN:
Container-title:2022 4th Asia Energy and Electrical Engineering Symposium (AEEES)
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Author:

Zhang Yanfei¹,Zhang Lei¹,Wang Hui¹,Qin Ruijun²

Affiliation:

1. Inner Mongolia Electric Power (Group) Co. LTD,Ulanqab Power Supply Branch,Inner Mongolia,China

2. School of Control and Computer Engineering, North China Electric Power University,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9759537/9759400/09759414.pdf?arnumber=9759414

Reference11 articles.

1. A new hybrid framework for probabilistic wind speed prediction using deep feature selection and multi-error modification;yan;Energy Conversion and Management,2019

2. A novel wind power probabilistic forecasting approach based on joint quantile regression and multi-objective optimization;jianming;Renewable Energy,2020

3. A flexible approach to reconstruct the genomic spatial structure by the genetic algorithm;yan;Int'l J Computational Biology and Drug Design,2018

4. The Optimization of the Location and Capacity of Reactive Power Generation Units, Using a Hybrid Genetic Algorithm Incorporated by the Bus Impedance Power-Flow Calculation Method

5. Low-carbon economic dispatch of electricity-gas systems;yue;Energy,2021

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