Profit-based unit commitment problem: A review of models, methods, challenges, and future directions

H Abdi - Renewable and Sustainable Energy Reviews, 2021 - Elsevier
The unit commitment problem is one of the most significant and basic issues in the monitor,
control, and operation of modern power systems, which has always been a subject of great …

Assessing the policy synergy among power, carbon emissions trading and tradable green certificate market mechanisms on strategic GENCOs in China

X Zhang, X Guo, X Zhang - Energy, 2023 - Elsevier
The establishment of carbon emissions trading (CET) and tradable green certificate (TGC)
markets in China will cause great alterations in the bidding behavior for generation …

A new method based on Type-2 fuzzy neural network for accurate wind power forecasting under uncertain data

A Sharifian, MJ Ghadi, S Ghavidel, L Li, J Zhang - Renewable energy, 2018 - Elsevier
Nowadays, due to some environmental restrictions and decrease of fossil fuel sources,
renewable energy sources and specifically wind power plants have a major part of energy …

Towards automated statistical partial discharge source classification using pattern recognition techniques

H Janani, B Kordi - High Voltage, 2018 - Wiley Online Library
This study presents a comprehensive review of the automated classification in partial
discharge (PD) source identification and probabilistic interpretation of the classification …

Optimization and evaluation of a dispatch model for an integrated wind-photovoltaic-thermal power system based on dynamic carbon emissions trading

Q Tan, Y Ding, Q Ye, S Mei, Y Zhang, Y Wei - Applied Energy, 2019 - Elsevier
To transmit renewable energy on-grid over a large-scale power transmission system, an
optimal dispatch model for a multi-energy power generation system is essential. This paper …

Profit based unit commitment using hybrid optimization technique

H Anand, N Narang, JS Dhillon - Energy, 2018 - Elsevier
A hybrid optimization technique based on the integration of binary successive approach
(BSA) and civilized swarm optimization (CSO) has been proposed to solve profit based unit …

Profit based unit commitment using memetic binary differential evolution algorithm

JS Dhaliwal, JS Dhillon - Applied soft computing, 2019 - Elsevier
Profit-based unit-commitment problem (PBUCP) is a notable combinatorial optimizing
problem faced in the deregulated power industry. The PBUCP finds the best profitable …

Simultaneous presence of wind farm and V2G in security constrained unit commitment problem considering uncertainty of wind generation

MH Imani, K Yousefpour, MJ Ghadi… - 2018 IEEE Texas …, 2018 - ieeexplore.ieee.org
In this paper, simultaneous employment of electrical vehicle-to-grid (V2G) and wind power
generation in security constrained unit commitment (SCUC) problem are considered. SCUC …

A synergy of binary differential evolution and binary local search optimizer to solve multi-objective profit based unit commitment problem

JS Dhaliwal, JS Dhillon - Applied Soft Computing, 2021 - Elsevier
Environmentally constrained profit based unit commitment problem (PBUCP) is a
combinatorial multi-objective optimization problem experienced in deregulated power …

A multiobjective robust scheduling optimization mode for multienergy hybrid system integrated by wind power, solar photovoltaic power, and pumped storage power

L Zhang, H Xin, J Wu, L Ju, Z Tan - Mathematical Problems in …, 2017 - Wiley Online Library
Wind power plant (WPP), photovoltaic generators (PV), cell‐gas turbine (CGT), and pumped
storage power station (PHSP) are integrated into multienergy hybrid system (MEHS). Firstly …