A comprehensive review of security-constrained unit commitment

N Yang, Z Dong, L Wu, L Zhang, X Shen… - Journal of Modern …, 2021 - ieeexplore.ieee.org
Security-constrained unit commitment (SCUC) has been extensively studied as a key
decision-making tool to determine optimal power generation schedules in the operation of …

A comprehensive review on evolutionary optimization techniques applied for unit commitment problem

N Muralikrishnan, L Jebaraj, CCA Rajan - IEEE Access, 2020 - ieeexplore.ieee.org
Unit Commitment (UC) is a key task in electric power system operation, aiming at minimizing
the total cost of power generation. It is essential to monitor wide range of activities and …

Prediction of network traffic of smart cities based on DE-BP neural network

X Pan, W Zhou, Y Lu, N Sun - IEEE Access, 2019 - ieeexplore.ieee.org
Smart cities make full use of information technology so as to make intelligence responses to
all requirements, including network and city services. This paper proposes a differential …

Moth flame optimizer-based solution approach for unit commitment and generation scheduling problem of electric power system

A Bhadoria, S Marwaha - Journal of Computational Design and …, 2020 - academic.oup.com
This paper proposes a new approach based on the moth flame optimizer algorithm. Moth
flame optimizer simulates the natural fervent navigation technique adopted by moths looking …

A double auxiliary optimization constrained multi-objective evolutionary algorithm

Y Yang, B Yan, X Kong, J Zhao - Mathematics and Computers in Simulation, 2024 - Elsevier
In evolutionary constrained multi-objective optimization, the use of auxiliary optimization is
gradually attracting attention. It is noted that different forms of auxiliary optimization have …

A constrained multi-objective evolutionary algorithm assisted by an additional objective function

Y Yang, PQ Huang, X Kong, J Zhao - Applied Soft Computing, 2023 - Elsevier
In constrained multi-objective optimization, the degree of constraint violation as an
additional objective function has been optimized together with the original M objective …

Large-scale multi-area economic/emission dispatch based on a new symbiotic organisms search algorithm

DC Secui - Energy Conversion and Management, 2017 - Elsevier
The objective of the multi-area economic/emission dispatch problem is to establish an
optimum programme (online) for the thermal generating units which operate within different …

Deep neural network-based hierarchical learning method for dispatch control of multi-regional power grid

H Tang, K Lv, B Bak-Jensen, JR Pillai… - Neural Computing and …, 2022 - Springer
Multi-regional power grid with interconnected tie-lines has become an increasingly
important structure for current power systems, and can efficiently reallocate power resources …

A method of forecasting trade export volume based on back-propagation neural network

C Dai - Neural Computing and Applications, 2023 - Springer
Financial forecasting has been greatly improved in recent years, but at long horizons,
forecast accuracy may be low. Foreign trade plays an important role in introducing advanced …

Modified differential evolution algorithm: A novel approach to optimize the operation of hydrothermal power systems while considering the different constraints and …

TT Nguyen, N Vu Quynh, MQ Duong, L Van Dai - Energies, 2018 - mdpi.com
This paper proposes an efficient and new modified differential evolution algorithm (ENMDE)
for solving two short-term hydrothermal scheduling (STHTS) problems. The first is to take the …