[HTML][HTML] Holistic MILP-based approach for rural electrification planning

A Dimovski, S Corigliano, D Edeme, M Merlo - Energy Strategy Reviews, 2023 - Elsevier
This study proposes a procedure that can help address the challenge of achieving universal
energy access by facilitating the process of rural electrification. Our holistic methodology …

Applications of optimization models for electricity distribution networks

S Claeys, M Vanin, F Geth… - … Reviews: Energy and …, 2021 - Wiley Online Library
Increased penetration of low‐carbon technologies, such as residential photovoltaic systems,
electric vehicles, and batteries, can potentially cause voltage quality issues in distribution …

[HTML][HTML] Multi-hazard socio-physical resilience assessment of hurricane-induced hazards on coastal communities

OM Nofal, K Amini, JE Padgett, JW van de Lindt… - Resilient Cities and …, 2023 - Elsevier
Hurricane-induced hazards can result in significant damage to the built environment
cascading into major impacts to the households, social institutions, and local economy …

Building highly detailed synthetic electric grid data sets for combined transmission and distribution systems

H Li, JL Wert, AB Birchfield, TJ Overbye… - IEEE Open Access …, 2020 - ieeexplore.ieee.org
This paper introduces a methodology for building synthetic electric grid data sets that
represent fictitious, yet realistic, combined transmission and distribution (T&D) systems …

Validation of synthetic US electric power distribution system data sets

V Krishnan, B Bugbee, T Elgindy… - … on Smart Grid, 2020 - ieeexplore.ieee.org
There is a strong need for synthetic yet realistic distribution system test data sets that are as
diverse, large, and complex to solve as real systems. Such data sets can facilitate the …

Modeling synthetic power distribution network and datasets with industrial validation

M Ali, K Prakash, C Macana, MQ Raza… - Journal of Industrial …, 2023 - Elsevier
Creating synthetic networks and datasets for power distribution network is challenging due
to continuous expansion of networks, integration of new low carbon technologies and large …

Decentralized optimal control of large-scale partially unknown nonlinear mismatched interconnected systems based on dynamic event-triggered control

H Su, X Luan, H Zhang, X Liang, J Yang, J Wang - Neurocomputing, 2024 - Elsevier
In this paper, a novel decentralized control method is proposed for nonlinear mismatched
large-scale interconnected systems subjected to partially unknown dynamics by designing …

Learning probability distributions over georeferenced distribution grid models

D Tomaselli, P Stursberg, M Metzger… - Electric Power Systems …, 2024 - Elsevier
When grid planners design updates for existing infrastructure in power grids, they frequently
encounter a lack of trustworthy and readily-usable digital grid models. This is especially the …

[HTML][HTML] Design and assessment of energy infrastructure in new decarbonized urban districts: A Spanish case study

L De Rosa, M Martínez, JI Linares, C Mateo, T Gomez… - Energy Reports, 2024 - Elsevier
New urban districts have great potential to reduce greenhouse gas emissions by electrifying
energy demand in various sectors, such as transportation and buildings. This paper …

Modified Erdős–Rényi Random Graph Model for Generating Synthetic Power Grids

M Shahraeini - IEEE Systems Journal, 2023 - ieeexplore.ieee.org
Synthetic power graphs have recently been widely used to assist researchers in analyzing
power grids as complex networks. In general, power graphs are sparsely connected, scale …