Abstract
This paper introduces novel cooperative control scheme based on adaptive critics for islanded Microgrids in the presence of disturbances. The interactions between the distributed generation sources are governed by a communication graph. Synchronization ideas are used to couple the dynamics of the distributed generation sources. A utility function is selected to reflect the objectives of the optimization problem. An online adaptive learning technique based on particle filtering is developed to estimate the dynamics of the distributed generation sources. Once the separation principle is held, the control input of every generation source and the estimator can be designed independently. The online adaptive learning technique uses incomplete knowledge about the dynamics of the distributed generation sources. Means of adaptive critics are used to implement the solution in real-time.
Original language | English |
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Pages (from-to) | 532-541 |
Number of pages | 10 |
Journal | Neurocomputing |
Volume | 272 |
DOIs | |
State | Published - 10 Jan 2018 |
Bibliographical note
Publisher Copyright:© 2017 Elsevier B.V.
Keywords
- Adaptive critics
- Adaptive learning techniques
- Cooperative control
- Islanded Microgrids
- Neural networks
ASJC Scopus subject areas
- Computer Science Applications
- Cognitive Neuroscience
- Artificial Intelligence