Iterative learning control in prosumer-based microgrids with hierarchical control
| Autor: | Paul Schultz, Frank Hellmann, Ruth Boersma, Jürgen Kurths, Thomas Seel, Jörg Raisch, Xiaohan Jing, Lia Strenge |
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| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
Mathematical optimization Computer science Node (networking) Demand patterns 020208 electrical & electronic engineering Iterative learning control FOS: Physical sciences Systems and Control (eess.SY) 02 engineering and technology Grid Electrical Engineering and Systems Science - Systems and Control Nonlinear Sciences - Adaptation and Self-Organizing Systems Electric power system 020901 industrial engineering & automation Electricity generation Control and Systems Engineering FOS: Electrical engineering electronic engineering information engineering 0202 electrical engineering electronic engineering information engineering Microgrid Adaptation and Self-Organizing Systems (nlin.AO) Prosumer |
| Zdroj: | IFAC-PapersOnLine. 53:12251-12258 |
| ISSN: | 2405-8963 |
| Popis: | Power systems are subject to fundamental changes due to the increasing infeed of renewable energy sources. Taking the accompanying decentralization of power generation into account, the concept of prosumer-based microgrids gives the opportunity to rethink structuring and operation of power systems from scratch. In a prosumer-based microgrid, each power grid node can feed energy into the grid and draw energy from the grid. The concept allows for spatial aggregation such that also an interaction between microgrids can be represented as a prosumer-based microgrid. The contribution of this work is threefold: (i) we propose a decentralized hierarchical control approach in a network including different time scales, (ii) we use iterative learning control to compensate periodic demand patterns and save lower layer control energy and (iii) we assure asymptotic stability and monotonic convergence in the iteration domain for the linearized dynamics and validate the performance by simulating the nonlinear dynamics. accepted for IFAC World Congress 2020 |
| Databáze: | OpenAIRE |
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