Optimal Scheduling of Distributed Resources in Multi area and Multi-station Optical Storage System Based on Improved Genetic Algorithm-Reference-Cited by-同舟云学术

Optimal Scheduling of Distributed Resources in Multi area and Multi-station Optical Storage System Based on Improved Genetic Algorithm

Published:2022-12-16 Issue: Volume: Page:
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Container-title:2022 IEEE 5th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)
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Author:

Zhang Xiangyu¹,Fang Jun¹,Zou Jingfan²,Chen Quan¹,Chen Shuo¹,Hong Jianfeng¹,Wang Shuang¹

Affiliation:

1. State Grid Anhui Electric Power Company Hefei Power Supply Company,Hefei,China,230000

2. State Grid Anhui Electric Power Company Lujiang County Power Supply Company,Lujiang,China,231500

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10019340/10019341/10020044.pdf?arnumber=10020044

Reference12 articles.

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3. Genetic algorithms with sharing for multimodal function optimization;goldberg;Genetic Algorithms and Their Applications Proceedings of the Second International Conference on Genetic Algorithms,1987

4. Battery-based storage systems in high voltage-DC bus microgrids. A real-time charging algorithm to improve the microgrid performance

5. Optimal configuration of photovoltaic energy storage capacity for large power users

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