Optimization Analysis for Electricity Trading Facing New Energy Integration-Reference-Cited by-同舟云学术

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Optimization Analysis for Electricity Trading Facing New Energy Integration

Published:2022-12 Issue: Volume: Page:
ISSN:
Container-title:2022 2nd International Conference on Electronic Information Technology and Smart Agriculture (ICEITSA)
language:
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Author:

Dong Xiaoliang¹,Wu Si²,Zhang Xian¹,Shi Zhiyong²,Zhang Chao³,Long Hongyu⁴

Affiliation:

1. Beijing Electric Power Trading Center Co., Ltd,Beijing,China,100031

2. State Grid Energy Research Institute Co., Ltd,Beijing,China,102211

3. State Grid Ningxia Electric Power Co., Ltd,Ningxia,China,750001

4. Chongqing University of Posts and Telecommunications,Chongqing,China,400065

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10044281/10044283/10044322.pdf?arnumber=10044322

Reference20 articles.

1. Application of modified pigeon-inspired optimization algorithm and constraint-objective sorting rule on multi-objective optimal power flow problem

2. Joint application of multi-object beetle antennae search algorithm and BAS-BP fuel cost forecast network on optimal active power dispatch problems

3. Improving multi-criterion optimization with chaos: a novel Multi-Objective Chaotic Crow Search Algorithm

4. Application of modified beetle antennae search algorithm and BP power flow prediction model on multi-objective optimal active power dispatch

5. Differential evolution algorithm with wavelet basis function and optimal mutation strategy for complex optimization problem

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