[HTML][HTML] A review of mixed-integer linear formulations for framework-based energy system models

M Hoffmann, BU Schyska, J Bartels, T Pelser… - Advances in Applied …, 2024 - Elsevier
Optimization-based frameworks for energy system modeling such as TIMES, ETHOS. FINE,
or PyPSA have emerged as important tools to outline a cost-efficient energy transition …

Voltage regulation in distribution grids: A survey

P Srivastava, R Haider, VJ Nair… - Annual Reviews in …, 2023 - Elsevier
Environmental and sustainability concerns have caused a recent surge in the penetration of
distributed energy resources into the power grid. This may lead to voltage violations in the …

[HTML][HTML] An open-source extendable model and corrective measure assessment of the 2021 texas power outage

D Wu, X Zheng, Y Xu, D Olsen, B **a, C Singh… - Advances in Applied …, 2021 - Elsevier
Unprecedented winter storms that hit across Texas in February 2021 have caused at least
69 deaths and 4.5 million customer interruptions due to the wide-ranging generation …

Beyond price taker: Conceptual design and optimization of integrated energy systems using machine learning market surrogates

J Jalving, J Ghouse, N Cortes, X Gao, B Knueven… - Applied Energy, 2023 - Elsevier
Future electricity generation systems must be optimized to provide flexibility that counteracts
the variability of non-dispatchable renewable energy sources and ensures the reliability and …

[PDF][PDF] 高比例可再生能源新型电力系统长期规划综述

黎博, 陈民铀, 钟海旺, 马子明, 刘东冉… - **电机工程 …, 2023 - epjournal.csee.org.cn
大力发展风电, 光伏等可再生能源是实现电力系统低碳转型的重要途径. 由于可再生能源出力
具有波动性与不确定性, 为应对大规模可再生能源并网给电力系统长期规划带来的挑战 …

A multi-scale time-series dataset with benchmark for machine learning in decarbonized energy grids

X Zheng, N Xu, L Trinh, D Wu, T Huang, S Sivaranjani… - Scientific Data, 2022 - nature.com
The electric grid is a key enabling infrastructure for the ambitious transition towards carbon
neutrality as we grapple with climate change. With deepening penetration of renewable …

Modeling integrated power and transportation systems: Impacts of power-to-gas on the deep decarbonization

B Li, M Chen, Z Ma, G He, W Dai, D Liu… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
The deployment of renewable energy sources, power-to-gas (P2G) systems, and zero-
emission vehicles provide a synergistic opportunity to accelerate the decarbonization of both …

PowerSystems. jl—A power system data management package for large scale modeling

JD Lara, C Barrows, D Thom, D Krishnamurthy… - SoftwareX, 2021 - Elsevier
PowerSystems. jl is a package to organize and manipulate data for the study of energy
systems with diverse modeling requirements. This software serves two main purposes: to …

Modeling and analysis of utilizing cryptocurrency mining for demand flexibility in electric energy systems: A synthetic texas grid case study

A Menati, K Lee, L **e - IEEE Transactions on Energy Markets …, 2023 - ieeexplore.ieee.org
The electricity sector is facing the dual challenge of supporting increasing level of demand
electrification while substantially reducing its carbon footprint. Among electricity demands …

Electric-gas infrastructure planning for deep decarbonization of energy systems

R Khorramfar, D Mallapragada, S Amin - Applied Energy, 2024 - Elsevier
The transition to a deeply decarbonized energy system requires coordinated planning of
infrastructure investments and operations serving multiple end-uses while considering …