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[HTML][HTML] Optimizing the operation of energy storage using a non-linear lithium-ion battery degradation model
Given their technological and market maturity, lithium-ion batteries are increasingly being
considered and used in grid applications to provide a host of services such as frequency …
considered and used in grid applications to provide a host of services such as frequency …
Learning to solve large-scale security-constrained unit commitment problems
Security-constrained unit commitment (SCUC) is a fundamental problem in power systems
and electricity markets. In practical settings, SCUC is repeatedly solved via mixed-integer …
and electricity markets. In practical settings, SCUC is repeatedly solved via mixed-integer …
Security-constrained unit commitment for electricity market: Modeling, solution methods, and future challenges
This paper summarizes the technical activities of the IEEE Task Force on Solving Large
Scale Optimization Problems in Electricity Market and Power System Applications. This Task …
Scale Optimization Problems in Electricity Market and Power System Applications. This Task …
面向新型电力系统的时序生产模拟应用与求解技术综述
魏利屾, 艾小猛, 方家琨, 朱邦显, 文劲宇 - 电力系统自动化, 2024 - epjournal.csee.org.cn
在建设新型电力系统背景下, 时序生产模拟技术依托电网数字化转型赋能, 成为了新型电力系统
运行评估与规划决策的重要工具. 文中总结了国内外对于时序生产模拟相关问题的研究成果 …
运行评估与规划决策的重要工具. 文中总结了国内外对于时序生产模拟相关问题的研究成果 …
Confidence-aware graph neural networks for learning reliability assessment commitments
Reliability Assessment Commitment (RAC) Optimization is increasingly important in grid
operations due to larger shares of renewable generations in the generation mix and …
operations due to larger shares of renewable generations in the generation mix and …
Effect of modelling choices in the unit commitment problem
In power system studies the unit commitment problem (UC) is solved to support market
decisions and assess system adequacy. Simplifications are made to solve the UC faster, but …
decisions and assess system adequacy. Simplifications are made to solve the UC faster, but …
Distributionally robust coordinated expansion planning for generation, transmission, and demand side resources considering the benefits of concentrating solar power …
B Chen, T Liu, X Liu, C He, L Nan… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Renewable energy has gradually increased its investment and penetration due to
technology innovation and cost reduction, turning power system expansion planning …
technology innovation and cost reduction, turning power system expansion planning …
Survey on Lagrangian relaxation for MILP: importance, challenges, historical review, recent advancements, and opportunities
MA Bragin - Annals of Operations Research, 2024 - Springer
Operations in areas of importance to society are frequently modeled as mixed-integer linear
programming (MILP) problems. While MILP problems suffer from combinatorial complexity …
programming (MILP) problems. While MILP problems suffer from combinatorial complexity …
A Wasserstein distance-based distributionally robust chance-constrained clustered generation expansion planning considering flexible resource investments
B Chen, T Liu, X Liu, C He, L Nan, L Wu… - … on Power Systems, 2022 - ieeexplore.ieee.org
This paper proposes a distributionally robust chance-constrained (DRCC) model for the
clustered generation expansion planning (CGEP) of power systems. The proposed two …
clustered generation expansion planning (CGEP) of power systems. The proposed two …
Collaborative operation between power network and hydrogen fueling stations with peer-to-peer energy trading
In recent years, hydrogen fueling electric vehicles (H2EVs) have developed rapidly and
drawn much attention. Indeed, the prevalence of H2EVs may introduce a notable interaction …
drawn much attention. Indeed, the prevalence of H2EVs may introduce a notable interaction …