Cover Image

A Scenario-based Stochastic Model of using BESS-based Virtual Transmission Lines in Day-Ahead Unit Commitment

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Qiushi, Li, Xingpeng
Format:	Preprint
Published:	2025
Subjects:	Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Evaluation of Battery Energy Storage System to Provide Virtual Transmission Service
by: Wang, Qiushi, et al.
Published: (2023)

Machine Learning-assisted Dynamics-Constrained Day-Ahead Energy Scheduling
by: Tuo, Mingjian, et al.
Published: (2023)

Optimal BESS Sizing and Placement for Mitigating EV-Induced Voltage Violations: A Scalable Spatio-Temporal Adaptive Targeting Strategy
by: Fang, Linhan, et al.
Published: (2025)

Data Center Spatio-Temporal Load Flexibility in Security-Constrained Unit Commitment for Enhanced Grid Efficiency and Reliability
by: Wan, Haoxiang, et al.
Published: (2026)

Diagnosis-Driven Co-planning of Network Reinforcement and BESS for Distribution Grid with High Penetration of Electric Vehicles
by: Fang, Linhan, et al.
Published: (2026)

Enhancing Optimal Microgrid Planning with Adaptive BESS Degradation Costs and PV Asset Management: An Iterative Post-Optimization Correction Framework
by: Butt, Hassan Zahid, et al.
Published: (2024)

Linearization of ReLU Activation Function for Neural Network-Embedded Optimization: Optimal Day-Ahead Energy Scheduling
by: Zhao, Cunzhi, et al.
Published: (2023)

Day-Ahead Offering for Virtual Power Plants: A Stochastic Linear Programming Reformulation and Projected Subgradient Method
by: Meng, Weiqi, et al.
Published: (2026)

Hierarchical Deep Learning Model for Degradation Prediction per Look-Ahead Scheduled Battery Usage Profile
by: Zhao, Cunzhi, et al.
Published: (2023)

Day-Ahead Transmission Grid Topology Optimization Considering Renewable Energy Sources' Uncertainty
by: Bastianel, Giacomo, et al.
Published: (2025)

Transmission Expansion Planning for Renewable-energy-dominated Power Grids Considering Climate Impact
by: Lu, Jin, et al.
Published: (2023)

Multi-Scenario and Stochastic Thermo-Electro-Mechanical Modeling of Failure in Power Transmission Lines
by: KC, Prakash, et al.
Published: (2024)

Learning Constraint Surrogate Model for Two-stage Stochastic Unit Commitment
by: Javadi, Amir Bahador, et al.
Published: (2025)

Probabilistic Day-Ahead Battery Scheduling based on Mixed Random Variables for Enhanced Grid Operation
by: Pinter, Janik, et al.
Published: (2024)

Large Language Model Assisted Optimal Bidding of BESS in FCAS Market: An AI-agent based Approach
by: Zhang, Borui, et al.
Published: (2024)

Flexible Ramping Product Procurement in Day-Ahead Markets
by: Yurdakul, Ogun, et al.
Published: (2024)

Enhancing Power Systems Transmission Adequacy via Optimal BESS Siting and Sizing using Benders Decomposition with Feasibility Cuts
by: Larroux, Ginevra, et al.
Published: (2026)

DER Day-Ahead Offering: A Neural Network Column-and-Constraint Generation Approach
by: Meng, Weiqi, et al.
Published: (2025)

EPC Framework for BESS Projects
by: Hameed, Zeenat, et al.
Published: (2025)

Integrating Conductor Health into Dynamic Line Rating and Unit Commitment under Wind Uncertainty
by: Roh, Geon, et al.
Published: (2025)

Constraints and Variables Reduction for Optimal Power Flow Using Hierarchical Graph Neural Networks with Virtual Node-Splitting
by: Pham, Thuan, et al.
Published: (2024)

Multi-Transmission Node DER Aggregation: Chance-Constrained Unit Commitment with Bounded Hetero-Dimensional Mixture Model for Uncertain Distribution Factors
by: Wang, Weilun, et al.
Published: (2025)

A Neural Column-and-Constraint Generation Method for Solving Two-Stage Stochastic Unit Commitment
by: Shao, Zhentong, et al.
Published: (2025)

Unit Commitment with Cost-Oriented Temporal Resolution
by: Tao, Junyi, et al.
Published: (2025)

A Deep Neural Network-based Frequency Predictor for Frequency-Constrained Optimal Power Flow
by: Jiang, Fan, et al.
Published: (2025)

Qubit-Efficient Quantum Annealing for Stochastic Unit Commitment
by: Hong, Wei, et al.
Published: (2025)

DALNet: A Denoising Diffusion Probabilistic Model for High-Fidelity Day-Ahead Load Forecasting
by: Guo, Han, et al.
Published: (2025)

Neural Two-Stage Stochastic Optimization for Solving Unit Commitment Problem
by: Shao, Zhentong, et al.
Published: (2025)

Value-Oriented Forecast Combinations for Unit Commitment
by: Ghazanfariharandi, Mehrnoush, et al.
Published: (2025)

Analyzing the Impact of Demand Response on Short-Circuit Current via a Unit Commitment Model
by: Wang, Peng, et al.
Published: (2025)

Frequency Stability-Constrained Unit Commitment: Tight Approximation using Bernstein Polynomials
by: Zhou, Bo, et al.
Published: (2022)

Optimization-Based Ramping Reserve Allocation of BESS for AGC Enhancement
by: Xu, Yiqiao, et al.
Published: (2022)

Should Small-Scale Data Centers Participate in the Day-Ahead Electricity Market?
by: Figini, Enea, et al.
Published: (2026)

Approximating CCCV charging using SOC-dependent tapered charging power constraints in long-term microgrid planning
by: Butt, Hassan Zahid, et al.
Published: (2025)

Efficient Unit Commitment Constraint Screening under Uncertainty
by: He, Xuan, et al.
Published: (2024)

Two-Stage Adaptive Robust Optimization Model for Joint Unit Maintenance and Unit Commitment Considering Source-Load Uncertainty
by: Lu, Hongrui, et al.
Published: (2024)

Day-Ahead Electricity Price Forecasting Using a Multivariate Group Lasso Method
by: Wang, Keyi, et al.
Published: (2026)

Physics-Informed Unit Commitment Framework for Nuclear Reactors
by: Choudhury, Shiny, et al.
Published: (2025)

Vertex-Guided Redundant Constraints Identification for Unit Commitment
by: He, Xuan, et al.
Published: (2025)

Network-Constrained Unit Commitment with Flexible Temporal Resolution
by: Yu, Zekuan, et al.
Published: (2024)