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Real-time active power dispatch of virtual power plant based on distributed model predictive control
  • +2
  • Shuai Feng,
  • Dongsheng Yang,
  • Bowen Zhou,
  • Yanhong Luo,
  • Guangdi Li
Shuai Feng
Northeastern University College of Information Science and Engineering

Corresponding Author:[email protected]

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Dongsheng Yang
Northeastern University College of Information Science and Engineering
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Bowen Zhou
Northeastern University College of Information Science and Engineering
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Yanhong Luo
Northeastern University College of Information Science and Engineering
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Guangdi Li
Northeastern University College of Information Science and Engineering
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Abstract

With the increasing penetration of renewable energy, virtual power plants reduce the impact on the power grid by integrating massive distributed resources for unified management. However, the optimal scheduling of a large number of distributed resources in virtual power plants has become a new problem in recent years. Therefore, aiming at the real-time optimal scheduling problem in the optimal scheduling of virtual power plant, this letter regards the virtual power plant as a multi-agent system, and proposes a novel real-time active power dispatch scheme of virtual power plant based on distributed model predictive control, so that each agent can not only calculate its own optimization function relatively independently, but also fully refer to the neighbor information. Simulation results show the feasibility and effectiveness of the proposed method.
13 Aug 2022Submitted to Electronics Letters
17 Aug 2022Submission Checks Completed
17 Aug 2022Assigned to Editor
18 Aug 2022Reviewer(s) Assigned
30 Aug 2022Review(s) Completed, Editorial Evaluation Pending
31 Aug 2022Editorial Decision: Accept
Nov 2022Published in Electronics Letters volume 58 issue 23 on pages 872-875. 10.1049/ell2.12640