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[HTML][HTML] A review of mixed-integer linear formulations for framework-based energy system models
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 …
or PyPSA have emerged as important tools to outline a cost-efficient energy transition …
Voltage regulation in distribution grids: A survey
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 …
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
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 …
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
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 …
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 …
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
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 …
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 …
emission vehicles provide a synergistic opportunity to accelerate the decarbonization of both …
PowerSystems. jl—A power system data management package for large scale modeling
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 …
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
The electricity sector is facing the dual challenge of supporting increasing level of demand
electrification while substantially reducing its carbon footprint. Among electricity demands …
electrification while substantially reducing its carbon footprint. Among electricity demands …
Electric-gas infrastructure planning for deep decarbonization of energy systems
The transition to a deeply decarbonized energy system requires coordinated planning of
infrastructure investments and operations serving multiple end-uses while considering …
infrastructure investments and operations serving multiple end-uses while considering …