The large penetration of renewable resources has resulted in rapidly changing net loads, resulting in the characteristic 'duck curve'. The resulting ramping requirements of bulk system resources is an operational challenge. To address this, we propose a distributed optimization framework within which distributed resources located in the...
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2022 (v1)PublicationUploaded on: February 6, 2024
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2022 (v1)Publication
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Uploaded on: February 14, 2024 -
2022 (v1)Publication
In this article, we present a unified framework for distributed convex optimization using an algorithm called proximal atomic coordination (PAC). PAC is based on the prox-linear approach and we prove that it achieves convergence in both objective values and distance to feasibility with rate o(1/τ), where τ is the number of algorithmic...
Uploaded on: April 14, 2023 -
2020 (v1)Publication
In the present paper we introduce a new distributed optimization approach to the solution of general Optimal Power Flow problem for unbalanced and mesh networks. A new convex formulation, based on McCormick Envelopes, is proposed with a decomposition profile and a distributed approach based on proximal coordination. The resulting algorithm is...
Uploaded on: March 27, 2023 -
2023 (v1)Publication
This paper develops a Distributed Energy Management System (EMS) to optimally allocate electric and thermal power production in a polygenerative microgrid. The EMS problem is formulated as a multiperiod convex optimization problem and solved using AL-SODU, a new distributed algorithm based on the augmented Lagrangian method with second order...
Uploaded on: July 3, 2024