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Adaptive Multi-Agent System and Mixed Integer Linear Programming Optimization Comparison for Grid Stability and Commitment Mismatch in Smart Grids

Abstract : Existing electrical networks are going through a transition and distributed energy resource, if not managed properly, can hinder this transition. Uncontrolled introduction of photovoltaics and electric vehicles in distribution networks would lead to substantial issues such as commitment mismatches, line congestions, voltage deviations, etc. This paper presents the use of a classical approach, mixed integer linear programming optimization, and a novel approach, adaptive multi-agent system, to solve the highlighted distribution side challenges by utilizing electric vehicles' storage capacity. This comparison serves as a great tool to benchmark the performance of the under-development adaptive multi-agent system methodology.
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https://hal.archives-ouvertes.fr/hal-03398611
Contributor : Anne Blavette Connect in order to contact the contributor
Submitted on : Saturday, October 23, 2021 - 12:30:10 AM
Last modification on : Monday, November 22, 2021 - 5:22:42 PM

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  • HAL Id : hal-03398611, version 1

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Sharyal Zafar, Vishwajeet Maurya, Anne Blavette, Guy Camilleri, H Ahmed, et al.. Adaptive Multi-Agent System and Mixed Integer Linear Programming Optimization Comparison for Grid Stability and Commitment Mismatch in Smart Grids. ISGT Europe, Oct 2021, Espoo (online), Finland. ⟨hal-03398611⟩

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