Profit Maximization by Integrating Demand Response in Multiple VPPs Optimal Scheduling-Reference-Cited by-同舟云学术

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Profit Maximization by Integrating Demand Response in Multiple VPPs Optimal Scheduling

Published:2022-12-14 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Electrical Engineering and Sustainable Technologies (ICEEST)
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Author:

Amin M. Asim¹,Suleman Ahmad²,Korõtko Tarmo³,Aziz Saddam⁴,Naseer Muhammad Usman³,Ahmad Nisar⁵

Affiliation:

1. Tsinghua University, China,Rapid Volt (PVT) Limited,Pak.

2. University of the Punjab, Pak,Rapid Volt (PVT) Limited,Pak.

3. Tallinn University of Technology,Tallinn,Estonia

4. The Hong Kong Polytechnic University,Hong Kong

5. University of Science and Technology,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10077839/10077840/10077867.pdf?arnumber=10077867

Reference16 articles.

1. Adaptive and Predictive Energy Management Strategy for Real-Time Optimal Power Dispatch From VPPs Integrated With Renewable Energy and Energy Storage

2. Optimal Energy Trading with Demand Responses in Cloud Computing Enabled Virtual Power Plant in Smart Grids

3. Risk-Averse Optimal Energy and Reserve Scheduling for Virtual Power Plants Incorporating Demand Response Programs

4. Efficient Reactive Power Control Using Reinforcement Learning under Inaccurate Power Network Model

5. Operation of a Technical Virtual Power Plant Considering Diverse Distributed Energy Resources

Cited by 1 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. Renewable Energy Maximization for Pelagic Islands Network of Microgrids Through Battery Swapping Using Deep Reinforcement Learning;IEEE Access;2023

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