<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:contributor>Schenk, Olaf</dc:contributor>
  <dc:creator>Kardoš, Juraj</dc:creator>
  <dc:date>2020-03-26</dc:date>
  <dc:description xmlns:ns0="xml" ns0:lang="en">A software library for the solution of large-scale structured nonconvex optimization  problems is presented in this work, with the purpose of accelerating the solution on single- core, multicore, or massively parallel high-performance distributed memory computing  infrastructures. A large class of industrial and engineering problems possesses a particular  structure, motivating the development of structure exploiting interior point methods. Interior  point methods are among the most popular techniques for large-scale nonlinear  optimization and their efficiency has attracted a lot of attention in recent years. Since the  overall performance of interior point methods relies heavily on scalable sparse linear  algebra solvers, this work thoroughly analyzes cutting-edge research based on the sparse  linear algebra and structure exploiting methods presented over recent years, and further  advances the performance by inspecting the structure of the underlying linear systems,  resulting in an additional computational time and memory savings. The primal-dual interior  point framework is applied for the solution of optimal power flow problems, a class of  optimization problems attracting increasing attention in power system research, operations,  and planning. Optimal power flow involves large-scale nonconvex optimization problems  with a number of variables and constraints ranging up to hundreds of millions depending  on the grid resolution and specific problem formulation. The robustness and reliability of  interior point methods is investigated for different optimal power flow formulations for a  wide range of realistic power grid networks. Furthermore, the object-oriented parallel and  distributed scalable solver is implemented and applied to large-scale problems solved on a  daily basis for the secure transmission and distribution of electricity in modern power grids.  Similarly, an efficient algorithm is investigated for optimal power flow spanning long time  horizons. Using computational studies from security constrained and multiperiod optimal  power flow problems, the robustness and scalability of the structure exploiting approach is  demonstrated.</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>https://susi.usi.ch/global/documents/319135</dc:identifier>
  <dc:identifier>https://n2t.net/ark:/12658/srd1319135</dc:identifier>
  <dc:identifier>https://susi.usi.ch/documents/319135/files/2020INFO003.pdf</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>info:eu-repo/semantics/altIdentifier/urn/urn:nbn:ch:rero-006-120940</dc:relation>
  <dc:relation>info:eu-repo/semantics/altIdentifier/ark/12658/srd1319135</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>License undefined</dc:rights>
  <dc:subject xmlns:ns1="xml" ns1:lang="en">Power grid</dc:subject>
  <dc:subject xmlns:ns2="xml" ns2:lang="en">Optimal power flow</dc:subject>
  <dc:subject xmlns:ns3="xml" ns3:lang="en">Security constraints</dc:subject>
  <dc:subject xmlns:ns4="xml" ns4:lang="en">Interior point methods</dc:subject>
  <dc:subject xmlns:ns5="xml" ns5:lang="en">Parallel Schur complement</dc:subject>
  <dc:subject xmlns:ns6="xml" ns6:lang="en">High-performance computing</dc:subject>
  <dc:subject xmlns:ns7="xml" ns7:lang="en">Structure-exploiting algorithms</dc:subject>
  <dc:subject xmlns:ns8="xml" ns8:lang="en">Nonlinear programming</dc:subject>
  <dc:subject xmlns:ns9="xml" ns9:lang="en">Sparse direct solvers</dc:subject>
  <dc:subject>info:eu-repo/classification/udc/004</dc:subject>
  <dc:title xmlns:ns10="xml" ns10:lang="en">High-performance interior point methods : application to power grid problems</dc:title>
  <dc:type>http://purl.org/coar/resource_type/c_db06</dc:type>
</oai_dc:dc>