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Unit maintenance and unit commitment are two critical and interrelated aspects of electric power system operation, both of which face the challenge of coordinating efforts to enhance reliability and economic performance. This challenge…

系统与控制 · 电气工程与系统科学 2024-12-03 Hongrui Lu , Yuxiong Huang , Tong He , Gengfeng Li

The short-term operation of a power system is usually planned by solving a day-ahead unit commitment problem. Due to historical reasons, the commitment of the power generating units is decided over a time horizon typically consisting of the…

最优化与控制 · 数学 2019-03-12 Salvador Pineda , Ricardo Fernandez-Blanco , Juan Miguel Morales

This work considers a multiobjective version of the unit commitment problem that deals with finding the optimal generation schedule of a firm, over a period of time and a given electrical network. With growing importance of environmental…

最优化与控制 · 数学 2025-01-14 Ece Tevruez , Aswin Kannan

The joint management of heat and power systems is believed to be key to the integration of renewables into energy systems with a large penetration of district heating. Determining the day-ahead unit commitment and production schedules for…

最优化与控制 · 数学 2015-07-22 Marco Zugno , Juan M. Morales , Henrik Madsen

As the cornerstone of modern power systems, the Unit Commitment Problem (UC) is critical for ensuring operational security and economic efficiency in the ongoing global energy transition. However, existing UC studies typically propose…

计算机科学中的逻辑 · 计算机科学 2026-04-21 Yuxin Zhao , Han Huang , Fangji Fu , Zhifeng Hao

We propose a novel global solution algorithm for the network-constrained unit commitment problem incorporating a nonlinear alternating current model of the transmission network, which is a nonconvex mixed-integer nonlinear programming…

最优化与控制 · 数学 2018-11-27 Jianfeng Liu , Anya Castillo , Jean-Paul Watson , Carl D. Laird

The deep penetration of wind and solar power is a critical component of the future power grid. However, the intermittency and stochasticity of these renewable resources bring significant challenges to the reliable and economic operation of…

最优化与控制 · 数学 2016-08-11 Alvaro Lorca , Xu Andy Sun

We propose a novel computational method for unit commitment UC, which does not require linearized approximation and provides several orders of magnitude performance improvement over current state-of-the-art. The performance improvement is…

最优化与控制 · 数学 2026-03-26 Shaked Regev , Eve Tsybina , Slaven Peles

The ever-increasing integration of stochastic renewable energy sources into power systems operation is making the supply-demand balance more challenging. While joint chance-constrained methods are equipped to model these complexities and…

系统与控制 · 电气工程与系统科学 2025-01-23 Meiyi Li , Javad Mohammadi

The unit commitment (UC) problem is a nonlinear, high-dimensional, highly constrained, mixed-integer power system optimization problem and is generally solved in the literature considering minimizing the system operation cost as the only…

神经与进化计算 · 计算机科学 2014-10-24 Anupam Trivedi , Kunal Pal , Chiranjib Saha , Dipti Srinivasan

Economic dispatch problem for a networked power system has been considered. The objective is to minimize the total generation cost while meeting the overall supply-demand balance and generation capacity. In particular, a more practical…

系统与控制 · 计算机科学 2019-05-01 Seungjoon Lee , Hyungbo Shim

This paper addresses the transmission network expansion planning problem considering storage units under uncertain demand and generation capacity. A two-stage adaptive robust optimization framework is adopted whereby short- and long-term…

最优化与控制 · 数学 2021-01-19 Álvaro García-Cerezo , Luis Baringo , Raquel García-Bertrand

Optimization problems in design engineering are complex by nature, often because of the involvement of critical objective functions accompanied by a number of rigid constraints associated with the products involved. One such problem is…

计算工程、金融与科学 · 计算机科学 2017-08-24 Sayan Nag

The unit commitment problem (UC) is an optimization problem concerning the operation of electrical generators. Many algorithms have been proposed for the UC and in recent years a more decentralized approach, by solving the UC with…

最优化与控制 · 数学 2023-11-23 Rogier Hans Wuijts , Marjan van den Akker , Machteld van den Broek

Combined heat and power systems facilitate efficient interactions between individual energy sectors for higher renewable energy accommodation. However, the feasibility of operational strategies is difficult to guarantee due to the presence…

系统与控制 · 电气工程与系统科学 2021-03-22 Yibao Jiang , Can Wan , Audun Botterud , Yonghua Song , Zhao Yang Dong

Incorporating the AC power flow equations into unit commitment models has the potential to avoid costly corrective actions required by less accurate power flow approximations. However, research on unit commitment with AC power flow…

系统与控制 · 电气工程与系统科学 2024-04-02 Robert Parker , Carleton Coffrin

Valve-point loading affects the input-output characteristics of generating units, bringing the fuel costs nonlinear and nonsmooth. This has been considered in the solution of load dispatch problems, but not in the planning phase of unit…

最优化与控制 · 数学 2014-04-22 João Pedro Pedroso , Mikio Kubo , Ana Viana

Due to the established energy production methods contribution to the climate crisis, renewable energy is to replace a substantial part of coal or nuclear plants to prevent greenhouse gases or toxic waste entering the atmosphere. This…

其他计算机科学 · 计算机科学 2022-04-05 Vincent Meilinger

To contribute to a smart grid, the unit commitment and dispatch (UCD) is a very important problem to be revisited in the future microgrid environment. In this paper, the UCD problem is studied by taking account of both traditional thermal…

最优化与控制 · 数学 2018-12-27 Fangyuan Li , Jiahu Qin , Yu Kang

Combined heat and power dispatch promotes interactions and synergies between electric power systems and district heating systems. However, nonlinear and nonconvex heating flow imposes significant challenges on finding qualified solutions…

系统与控制 · 电气工程与系统科学 2021-03-12 Yibao Jiang , Can Wan , Audun Botterud , Yonghua Song , Mohammad Shahidehpour
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