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Papers by Nikolaos Antoniadis

Research paper thumbnail of A variable neighborhood search simheuristic algorithm for reliability optimization of smart grids under uncertainty

International Transactions in Operational Research, 2021

A fundamental part of the self‐healing grid is reducing disturbances and automatically responding... more A fundamental part of the self‐healing grid is reducing disturbances and automatically responding to problems. Toward this goal, smart grid operators would be of great use to ensure stability after a potential overload for a planning horizon, as the electrical values are unknown. To evaluate the robustness of the topology reconfiguration after a disturbance, like an overload, reliability analysis through simulation can be employed. However, the simulation approach we propose in this paper, except for the excessive time it consumes, cannot assure the quality of its solutions. To achieve a more robust configuration, we, additionally, propose a single‐stage stochastic program to optimize the grid topology configuration after a potential overload to ensure stability for the next day. We suggest a simheuristic approach based on a Variable Neighborhood Search metaheuristic to solve the above stochastic optimization problem. We evaluate the two approaches for this real‐world problem, toget...

Research paper thumbnail of A hybrid CPU-GPU parallelization scheme of variable neighborhood search for inventory optimization problems

Electronic Notes in Discrete Mathematics, 2017

Research paper thumbnail of Preventing Overloading Incidents on Smart Grids: A Multiobjective Combinatorial Optimization Approach

Communications in Computer and Information Science, 2020

Research paper thumbnail of Preventing overloading incidents on smart grids: A multiobjective combinatorial optimisation approach

Optimization and Learning (OLA 2020), Feb 15, 2020

Cable overloading is one of the most critical disturbances that may occur in smart grids, as it c... more Cable overloading is one of the most critical disturbances that may occur in smart grids, as it can cause damage to the distribution power lines. Therefore, the circuits are protected by fuses so that, the overload could trip the fuse, opening the circuit, and stopping the flow and heating. However, sustained overloads, even if they are below the safety limits, could also damage the wires. To prevent overload, smart grid operators can switch the fuses on or off to protect the circuits, or remotely curtail the over-producing/over-consuming users. Nevertheless , making the most appropriate decision is a daunting decision-making task, notably due to contractual and technical obligations. In this paper, we define and formulate the overloading prevention problem as a Mul-tiobjective Mixed Integer Quadratically Constrained Program. We also suggest a solution method using a combinatorial optimization approach with a state-of-the-art exact solver. We evaluate this approach for this real-world problem together with Creos Luxembourg S.A., the leading grid operator in Luxembourg, and show that our method can suggest optimal countermeasures to operators facing potential overloading incidents .

Research paper thumbnail of A hybrid CPU-GPU parallelization scheme of variable neighborhood search for inventory optimization problems

In this paper, we study various parallelization schemes for the Variable Neighborhood Search (VNS... more In this paper, we study various parallelization schemes for the Variable Neighborhood Search (VNS) metaheuristic on a CPU-GPU system via OpenMP and OpenACC. A hybrid parallel VNS method is applied to recent benchmark problem instances for the multi-product dynamic lot sizing problem with product returns and recovery, that appears in reverse logistics and is known to be NP-hard. We report our findings regarding these parallelization approaches and present promising computational results.

Research paper thumbnail of A variable neighborhood search simheuristic algorithm for reliability optimization of smart grids under uncertainty

International Transactions in Operational Research, 2021

A fundamental part of the self‐healing grid is reducing disturbances and automatically responding... more A fundamental part of the self‐healing grid is reducing disturbances and automatically responding to problems. Toward this goal, smart grid operators would be of great use to ensure stability after a potential overload for a planning horizon, as the electrical values are unknown. To evaluate the robustness of the topology reconfiguration after a disturbance, like an overload, reliability analysis through simulation can be employed. However, the simulation approach we propose in this paper, except for the excessive time it consumes, cannot assure the quality of its solutions. To achieve a more robust configuration, we, additionally, propose a single‐stage stochastic program to optimize the grid topology configuration after a potential overload to ensure stability for the next day. We suggest a simheuristic approach based on a Variable Neighborhood Search metaheuristic to solve the above stochastic optimization problem. We evaluate the two approaches for this real‐world problem, toget...

Research paper thumbnail of A hybrid CPU-GPU parallelization scheme of variable neighborhood search for inventory optimization problems

Electronic Notes in Discrete Mathematics, 2017

Research paper thumbnail of Preventing Overloading Incidents on Smart Grids: A Multiobjective Combinatorial Optimization Approach

Communications in Computer and Information Science, 2020

Research paper thumbnail of Preventing overloading incidents on smart grids: A multiobjective combinatorial optimisation approach

Optimization and Learning (OLA 2020), Feb 15, 2020

Cable overloading is one of the most critical disturbances that may occur in smart grids, as it c... more Cable overloading is one of the most critical disturbances that may occur in smart grids, as it can cause damage to the distribution power lines. Therefore, the circuits are protected by fuses so that, the overload could trip the fuse, opening the circuit, and stopping the flow and heating. However, sustained overloads, even if they are below the safety limits, could also damage the wires. To prevent overload, smart grid operators can switch the fuses on or off to protect the circuits, or remotely curtail the over-producing/over-consuming users. Nevertheless , making the most appropriate decision is a daunting decision-making task, notably due to contractual and technical obligations. In this paper, we define and formulate the overloading prevention problem as a Mul-tiobjective Mixed Integer Quadratically Constrained Program. We also suggest a solution method using a combinatorial optimization approach with a state-of-the-art exact solver. We evaluate this approach for this real-world problem together with Creos Luxembourg S.A., the leading grid operator in Luxembourg, and show that our method can suggest optimal countermeasures to operators facing potential overloading incidents .

Research paper thumbnail of A hybrid CPU-GPU parallelization scheme of variable neighborhood search for inventory optimization problems

In this paper, we study various parallelization schemes for the Variable Neighborhood Search (VNS... more In this paper, we study various parallelization schemes for the Variable Neighborhood Search (VNS) metaheuristic on a CPU-GPU system via OpenMP and OpenACC. A hybrid parallel VNS method is applied to recent benchmark problem instances for the multi-product dynamic lot sizing problem with product returns and recovery, that appears in reverse logistics and is known to be NP-hard. We report our findings regarding these parallelization approaches and present promising computational results.