Multi-objective optimization framework for optimal power flow problem of hybrid power systems considering security constraints

SB Pandya, S Ravichandran, P Manoharan… - IEEE …, 2022 - ieeexplore.ieee.org
The hybrid model of the power system infrastructure is an essential part of the sophisticated
technology of the electrical network. Generally, for the Optimal Power Flow (OPF) problem …

Many-objective gradient-based optimizer to solve optimal power flow problems: analysis and validations

M Premkumar, P Jangir, R Sowmya… - … Applications of Artificial …, 2021 - Elsevier
The growing energy demand and environmental consciousness provoke the conventional
single-objective optimization framework no longer satisfies new power system planning and …

Evolutionary constrained multiobjective optimization: Scalable high-dimensional constraint benchmarks and algorithm

K Qiao, J Liang, K Yu, C Yue, H Lin… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Evolutionary constrained multiobjective optimization has received extensive attention and
research in the past two decades, and a lot of benchmarks have been proposed to test the …

Chaotic sine–cosine algorithm for chance‐constrained economic emission dispatch problem including wind energy

T Guesmi, A Farah, I Marouani… - IET Renewable …, 2020 - Wiley Online Library
One of the most effective approaches to reduce carbon emissions is the integration of
renewable energy sources into electrical power networks. Currently, wind turbines are the …

Multi-agent-based collaborative regulation optimization for microgrid economic dispatch under a time-based price mechanism

L Wang, X An, H Xu, Y Zhang - Electric Power Systems Research, 2022 - Elsevier
The economic optimal dispatch of a microgrid is a challenging task with significant economic
and social implications. Under a time-based price mechanism, this paper proposes a multi …

Low-carbon optimal scheduling for multi-source power systems based on source-load matching under active demand response

J Ye, L **e, L Ma, Y Bian, C Cui - Solar Energy, 2024 - Elsevier
To reduce the source-load uncertainty and carbon emission levels of the power system, this
study proposes a novel low-carbon economic stochastic optimization scheduling model …

New optimization algorithm inspired by kernel tricks for the economic emission dispatch problem with valve point

R Dong, S Wang - IEEE Access, 2020 - ieeexplore.ieee.org
With the increasing concern over environment protection, Economic Emission Dispatch
(EED) problem has received much attention. It is essentially a Multi-objective Optimization …

Eco-environmental dispatch of power system with high penetration wind farms considering demand/source side uncertainties

A Heydari, R Ebrahimi, M Ghanbari - Electric Power Systems Research, 2024 - Elsevier
In this paper, a stochastic economic-emission dispatch (EE-D) of a power system with wind
farms and flexible loads is proposed. The EE-D is defined as a stochastic multi-objective …

MOEA/D with many-stage dynamical resource allocation strategy to solution of many-objective OPF problems

J Zhang, X Zhu, P Li - International Journal of Electrical Power & Energy …, 2020 - Elsevier
As people's electricity demand and environmental awareness increase, single-objective
optimization of power systems can no longer meet the requirements of modern power …

Constraints separation based evolutionary multitasking for constrained multi-objective optimization problems

K Qiao, J Liang, K Yu, X Ban, C Yue… - IEEE/CAA Journal of …, 2024 - ieeexplore.ieee.org
Constrained multi-objective optimization problems (CMOPs) generally contain multiple
constraints, which not only form multiple discrete feasible regions but also reduce the size of …