Advances and bibliographic analysis of particle swarm optimization applications in electrical power system: concepts and variants
S Tiwari, A Kumar - Evolutionary Intelligence, 2023 - Springer
Power system applications often require solving one or multiple optimization problems
which are nonlinear. Due to the limitations such as dimensionality constraints and slow …
which are nonlinear. Due to the limitations such as dimensionality constraints and slow …
Investigation of optimal power flow solution techniques considering stochastic renewable energy sources: Review and analysis
Increased penetration of renewable energy sources (RESs) in power system networks
poses several challenges in system planning and management due to their uncertain and …
poses several challenges in system planning and management due to their uncertain and …
[HTML][HTML] Modeling and sensitivity analysis of grid-connected hybrid green microgrid system
The demonstrated research work analyses the technoeconomic modelling and sensitivity
analysis of the available resources for the rural community in India. The various resources …
analysis of the available resources for the rural community in India. The various resources …
Unit commitment problem for transmission system, models and approaches: A review
The realistic power systems include several types of controllers in transmission lines,
different types of energy storage systems (ESSs), and integration of various renewable …
different types of energy storage systems (ESSs), and integration of various renewable …
Investigation of solution techniques of unit commitment problems: A review
The Unit Commitment (UC) is a significant act of optimization in day-to-day operational
planning of modern power systems. After load forecasting, UC is the subsequent step in the …
planning of modern power systems. After load forecasting, UC is the subsequent step in the …
Optimal power flow analysis including stochastic renewable energy sources using modified ant lion optimization algorithm
The optimal power flow is one of the major area in economic and efficient dispatch of electric
power. This research article presents a swarm-based optimization algorithm, known as …
power. This research article presents a swarm-based optimization algorithm, known as …
Stochastic profit‐based unit commitment problem considering renewable energy sources with battery storage systems and plug‐in hybrid electric vehicles
The paper presents a novel methodology based on a BARON solver in general algebraic
modeling system (GAMS) computational environment to solve the stochastic profit‐based …
modeling system (GAMS) computational environment to solve the stochastic profit‐based …
[HTML][HTML] Mitigating wind energy uncertainties and operational constraints in solving the unit commitment problem in power systems through enhanced arithmetic …
NS Abdelhakeem, MM Hasaneen, S Helmy… - Energy Reports, 2024 - Elsevier
Abstract The Unit Commitment Problem (UCP) is a critical aspect of managing operational
processes in power grids, aiming to meet energy demand reliably and cost-effectively …
processes in power grids, aiming to meet energy demand reliably and cost-effectively …
State‐of‐the‐art optimization and metaheuristic algorithms
Optimization is the art of modeling for obtaining the best result under the given
circumstances. Optimization aims to maximize or minimize the best effects to satisfy both the …
circumstances. Optimization aims to maximize or minimize the best effects to satisfy both the …
Investigation of PBUC problem with RES and EV in restructured environment
This research proposes a novel solution for the optimal day-ahead scheduling problem in
the GAMS environment using the BARON approach. The challenge is extended to include …
the GAMS environment using the BARON approach. The challenge is extended to include …