Research on Day-ahead Optimal Scheduling of Wind-photovoltaic-thermal-energy Storage Combined Power Generation System Based on Opportunity-constrained Programming-Reference-Cited by-同舟云学术

Research on Day-ahead Optimal Scheduling of Wind-photovoltaic-thermal-energy Storage Combined Power Generation System Based on Opportunity-constrained Programming

Published:2022-07-08 Issue: Volume: Page:
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Container-title:2022 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)
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Author:

Gu Jiawei¹,Li Xiongwei²,Niu Yuguang¹,Wang Xin²

Affiliation:

1. North China Electric Power University,BeiJing,102206

2. National Energy Group New Energy Technology Research Institute

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9948701/9949620/09949648.pdf?arnumber=9949648

Reference8 articles.

1. Optimal Scheduling of Wind-Fire-Storage Combined System Based on Opportunity Constrained Programming [J];ma;Power Grid Technology,2019

2. The model of rotating reserve acquisition of power system with wind farm[J];ge;Automation of Electric Power System,2010

3. Non-Parametric Joint Opportunity Constraints for Economic Dispatch Problem with Photovoltaic Generation;wu;2019 IEEE Texas Power and Energy Conference (TPEC),2019

4. Two-stage optimal schedulinging strategy of wind-photovoltaic thermal storage system considering virtual power plant and time-of-use electricity price [J];li;China Southern Power Grid Technology,2017

5. Distributionally Robust Chance-constrained Optimal Power-Gas Flow under Bidirectional Interactions Considering Uncertain Wind Power

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