Greater penetration of Distributed Energy Resources (DERs) in power networks requires coordination strategies that allow for self-adjustment of contributions in a network of DERs, owing to variability in generation and demand. In this article, a distributed scheme is proposed that enables a DER in a network to arrive at viable power reference commands that satisfies the DERs local constraints on its generation and loads it has to service, while, the aggregated behavior of multiple DERs in the network and their respective loads meet the ancillary services demanded by the grid. The Net-load Management system for a single unit is referred to as the Local Inverter System (LIS) in this article. A distinguishing feature of the proposed consensus based solution is the distributed finite time termination of the algorithm that allows each LIS unit in the network to determine power reference commands in the presence of communication delays in a distributed manner. The proposed scheme allows prioritization of Renewable Energy Sources (RES) in the network and also enables auto-adjustment of contributions from LIS units with lower priority resources (non-RES). The methods are validated using hardware-in-the-loop simulations with Raspberry PI devices as distributed control units, implementing the proposed distributed algorithm and responsible for determining and dispatching real-time power reference commands to simulated power electronics interface emulating LIS units for demand response.
|Original language||English (US)|
|Title of host publication||2017 IEEE International Conference on Smart Grid Communications, SmartGridComm 2017|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||7|
|State||Published - Apr 17 2018|
|Event||2017 IEEE International Conference on Smart Grid Communications, SmartGridComm 2017 - Dresden, Germany|
Duration: Oct 23 2017 → Oct 26 2017
|Name||2017 IEEE International Conference on Smart Grid Communications, SmartGridComm 2017|
|Other||2017 IEEE International Conference on Smart Grid Communications, SmartGridComm 2017|
|Period||10/23/17 → 10/26/17|
Bibliographical noteFunding Information:
ACKNOWLEDGMENT The authors acknowledge Advanced Research Projects Agency-Energy (ARPA-E) for supporting this research through the project titled ‘A Robust Distributed Framework for Flexible Power Grids’ via grant no. DE-AR000071 and Xcel Energy’s Renewable Development Fund.
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