{ "id": "2205.09981", "version": "v1", "published": "2022-05-20T06:20:05.000Z", "updated": "2022-05-20T06:20:05.000Z", "title": "Distributed Optimization in Distribution Systems with Grid-Forming and Grid-Supporting Inverters", "authors": [ "Rabayet Sadnan", "Anamika Dubey" ], "categories": [ "eess.SY", "cs.SY" ], "abstract": "With massive penetrations of active grid-edge technologies, distributed computing and optimization paradigm has gained significant attention to solve distribution-level optimal power flow (OPF) problems. However, the application of generic distributed optimization techniques to OPF problems leads to a very large number of macro-iterations or communication rounds among the distributed computing agents delaying the decision-making process or resulting in suboptimal solutions. Moreover, the existing distribution-level OPF problems typically model inverter-interfaced distributed energy resources (DERs) as grid-following inverters; grid-supporting and grid-forming functionalities have not been explicitly considered. The added complexities introduced by different inverter models require further attention to developing an appropriate model for new types of inverter-based DERs and computationally-tractable OPF algorithms. In this paper, we expand the distribution-level OPF model to include a combination of the grid-forming, grid-supporting, grid-following inverter-based DERs and also present the application of a domain-specific problem decomposition and distributed algorithm for the topologically radial power distribution systems to efficiently solve distribution-level OPF problem.", "revisions": [ { "version": "v1", "updated": "2022-05-20T06:20:05.000Z" } ], "analyses": { "keywords": [ "distributed optimization", "distribution-level opf problem", "radial power distribution systems", "opf problems typically model", "grid-supporting inverters" ], "note": { "typesetting": "TeX", "pages": 0, "language": "en", "license": "arXiv", "status": "editable" } } }