Review of economic dispatch in multi-area power system: State-of-the-art and future prospective

AB Kunya, AS Abubakar, SS Yusuf - Electric Power Systems Research, 2023 - Elsevier
Efficient and cost-effective coordination of online generation facilities is essential to the
reliable operation multi-area power system (PS) especially in a deregulated environment …

[HTML][HTML] Economic dispatch optimization strategies and problem formulation: A comprehensive review

F Marzbani, A Abdelfatah - Energies, 2024 - mdpi.com
Economic Dispatch Problems (EDP) refer to the process of determining the power output of
generation units such that the electricity demand of the system is satisfied at a minimum cost …

Learning optimization proxies for large-scale security-constrained economic dispatch

W Chen, S Park, M Tanneau… - Electric Power Systems …, 2022 - Elsevier
Abstract The Security-Constrained Economic Dispatch (SCED) is a fundamental
optimization model for Transmission System Operators (TSO) to clear real-time energy …

Preserving privacy in nested peer-to-peer energy trading in networked microgrids considering incomplete rationality

Y Xia, Q Xu, Y Huang, Y Liu, F Li - IEEE Transactions on Smart …, 2022 - ieeexplore.ieee.org
With the high penetration of renewable energy resources, energy prosumers and microgrids
can trade energy directly with each other in a hierarchical way. This paper develops a …

Spatio-Temporal Deep Learning-Assisted Reduced Security-Constrained Unit Commitment

AV Ramesh, X Li - IEEE Transactions on Power Systems, 2023 - ieeexplore.ieee.org
Security-constrained unit commitment (SCUC) is a computationally complex process utilized
in power system day-ahead scheduling and market clearing. SCUC is run daily and requires …

Feasibility layer aided machine learning approach for day-ahead operations

AV Ramesh, X Li - IEEE Transactions on Power Systems, 2023 - ieeexplore.ieee.org
Day-ahead operation involves a complex and computationally intensive optimization
process to determine the generator commitment schedule and dispatch. The optimization …

DRL based low carbon economic dispatch by considering power transmission safety limitations in internet of energy

R Zhu, X Guan, J Zheng, N Wang, H Jiang, C Cui… - Internet of Things, 2023 - Elsevier
Economic dispatch, as a crucial method for ensuring the normal operation of power systems,
is typically modeled as an optimization problem and solved using solvers. The introduction …

Adaptive look-ahead economic dispatch based on deep reinforcement learning

X Wang, H Zhong, G Zhang, G Ruan, Y He, Z Yu - Applied Energy, 2024 - Elsevier
With the advancement of the energy transition, renewable power-dominated new power
systems are faced with unprecedented technical challenges. Faced with the increasing …

Differentially private distributed resource allocation via deviation tracking

T Ding, S Zhu, C Chen, J Xu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This paper studies the distributed resource allocation problem where all the agents
cooperatively minimize the sum of their cost functions. To prevent private information from …

Topology-aware learning assisted branch and ramp constraints screening for dynamic economic dispatch

F Hasan, A Kargarian - IEEE Transactions on Power Systems, 2022 - ieeexplore.ieee.org
Multi-interval or dynamic economic dispatch (D-ED) is the core of various power system
management functions. This optimization problem contains many constraints, a small subset …