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20122026
most citedPhysics-Informed Neural Networks for AC Optimal Power Flow

164 citations · 851 across the 77 of their papers we have counts for

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11 papers · 1 filter

math.OC2023★ 1 cited

Scalable Optimal Design of Incremental Volt/VAR Control using Deep Neural Networks

Sarthak Gupta, Ali Mehrizi-Sani, Spyros Chatzivasileiadis +1

Volt/VAR control rules facilitate the autonomous operation of distributed energy resources (DER) to regulate voltage in power distribution grids. According to non-incremental contr…

math.OC2022★ 6 cited

Optimal Design of Volt/VAR Control Rules of Inverters using Deep Learning

Sarthak Gupta, Vassilis Kekatos, Spyros Chatzivasileiadis

Distribution grids are challenged by rapid voltage fluctuations induced by variable power injections from distributed energy resources (DERs). To regulate voltage, the IEEE Standar…

math.OC2021★ 34 cited

Network-Aware Flexibility Requests for Distribution-Level Flexibility Markets

Eléa Prat, Irena Dukovska, Lars Herre +3

This paper proposes a method to design network-aware flexibility requests for local flexibility markets. These markets are becoming increasingly important for distribution system o…

math.OC2020★ 19 cited

Design of a Continuous Local Flexibility Market with Network Constraints

Eléa Prat, Lars Herre, Jalal Kazempour +1

To the best of our knowledge, this paper proposes for the first time a design of a continuous local flexibility market that explicitly considers network constraints. Continuous mar…

math.OC2020★ 22 cited

Learning Active Constraints to Efficiently Solve Linear Bilevel Problems: Application to the Generator Strategic Bidding Problem

Eléa Prat, Spyros Chatzivasileiadis

Bilevel programming can be used to formulate many problems in the field of power systems, such as strategic bidding. However, common reformulations of bilevel problems to mixed-int…

math.OC2020

Market Integration of HVDC Lines: Cost Savings from Loss Allocation and Redispatching

Andrea Tosatto, Matas Dijokas, Danilo Obradovic +7

In the Nordic region, many interconnectors are formed by HVDC links, as Scandinavia, Continental Europe and the Baltic region are non-synchronous AC systems. This paper presents tw…

math.OC2020

Second-Order Cone Relaxations of the Optimal Power Flow for Active Distribution Grids

Lucien Bobo, Andreas Venzke, Spyros Chatzivasileiadis

Convex relaxations of the AC Optimal Power Flow (OPF) problem are essential not only for identifying the globally optimal solution but also for enabling the use of OPF formulations…

math.OC2019

HVDC Loss Factors in the Nordic Power Market

Andrea Tosatto, Spyros Chatzivasileiadis

In the Nordic countries (Sweden, Norway, Finland and Denmark), many interconnectors are formed by long High-Voltage Direct-Current (HVDC) lines. Every year, the operation of such i…

math.OC2019

A modified version of the IEEE 3-area RTS '96 Test Case for time series analysis

Andrea Tosatto, Tilman Weckesser, Spyros Chatzivasileiadis

This report describes a modified version of the IEEE 3-area RTS '96 Test Case for time series analysis. This test case was originally developed to investigate the impact of the int…

math.OC2019

Inexact Convex Relaxations for AC Optimal Power Flow: Towards AC Feasibility

Andreas Venzke, Spyros Chatzivasileiadis, Daniel K. Molzahn

Convex relaxations of AC optimal power flow (AC-OPF) problems have attracted significant interest as in several instances they provably yield the global optimum to the original non…

math.OC2018★ 42 cited

Market Integration of HVDC Lines: Internalizing HVDC Losses in Market Clearing

Andrea Tosatto, Tilman Weckesser, Spyros Chatzivasileiadis

Moving towards regional Supergrids, an increasing number of interconnections are formed by High Voltage Direct Current (HVDC) lines. Currently, in most regions, HVDC losses are not…