Grid-Aware Distributed Model Predictive Control of Heterogeneous Resources in a Distribution Network: Theory and Experimental Validation
In this article, we propose and experimentally validate a scheduling and control framework for distributed energy resources (DERs) that achieves to track a day-ahead dispatch plan of a distribution network hosting controllable and stochastic heterogeneous resources while respecting the local grid co...
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| Veröffentlicht in: | IEEE transactions on energy conversion 2021-06, Vol.36 (2), p.1392-1402 |
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| container_title | IEEE transactions on energy conversion |
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| creator | Gupta, Rahul Sossan, Fabrizio Paolone, Mario |
| description | In this article, we propose and experimentally validate a scheduling and control framework for distributed energy resources (DERs) that achieves to track a day-ahead dispatch plan of a distribution network hosting controllable and stochastic heterogeneous resources while respecting the local grid constraints on nodal voltages and lines ampacities. The framework consists of two algorithmic layers. In the first one (day-ahead scheduling), we determine an aggregated dispatch plan. In the second layer (real-time control), a distributed model predictive control (MPC) determines the active and reactive power set-points of the DERs so that their aggregated contribution tracks the dispatch plan while obeying to DERs operational constraints as well as the grid's ones. The proposed framework is experimentally validated on a real-scale microgrid that reproduces the network specifications of the CIGRE microgrid benchmark system. |
| doi_str_mv | 10.1109/TEC.2020.3015271 |
| format | Article |
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(IEEE) 2021</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c367t-73b8d377b3df9b7a39700933a6107e97be4b4222a0a0a05579c1fa252998fe283</citedby><cites>FETCH-LOGICAL-c367t-73b8d377b3df9b7a39700933a6107e97be4b4222a0a0a05579c1fa252998fe283</cites><orcidid>0000-0002-7990-1471 ; 0000-0001-7073-9036 ; 0000-0002-9905-6092</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9163265$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>230,314,780,784,796,885,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/9163265$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttps://hal.science/hal-03113436$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Gupta, Rahul</creatorcontrib><creatorcontrib>Sossan, Fabrizio</creatorcontrib><creatorcontrib>Paolone, Mario</creatorcontrib><title>Grid-Aware Distributed Model Predictive Control of Heterogeneous Resources in a Distribution Network: Theory and Experimental Validation</title><title>IEEE transactions on energy conversion</title><addtitle>TEC</addtitle><description>In this article, we propose and experimentally validate a scheduling and control framework for distributed energy resources (DERs) that achieves to track a day-ahead dispatch plan of a distribution network hosting controllable and stochastic heterogeneous resources while respecting the local grid constraints on nodal voltages and lines ampacities. 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| subjects | Active control ADMM Computational modeling dispatch distributed control Distributed generation Electric power Energy sources Engineering Sciences model predictive control power distribution networks Predictive control Processor scheduling Reactive power Real-time systems Scheduling Stability Stochastic processes Voltage control |
| title | Grid-Aware Distributed Model Predictive Control of Heterogeneous Resources in a Distribution Network: Theory and Experimental Validation |
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