Metaheuristic search in smart grid: A review with emphasis on planning, scheduling and power flow optimization applications
A multitude of optimization tasks ensue in the context of the smart grid, often exhibiting
undesirable characteristics like non-convexity, mixed types of design variables and multiple …
undesirable characteristics like non-convexity, mixed types of design variables and multiple …
A review of optimal power flow studies applied to smart grids and microgrids
H Abdi, SD Beigvand, M La Scala - Renewable and Sustainable Energy …, 2017 - Elsevier
The term smart grid refers to a modernization of the electrical network consisting in the
integration of various technologies such as dispersed generation, dispatchable loads …
integration of various technologies such as dispersed generation, dispatchable loads …
Optimal power flow: A bibliographic survey I: Formulations and deterministic methods
S Frank, I Steponavice, S Rebennack - Energy systems, 2012 - Springer
Over the past half-century, Optimal Power Flow (OPF) has become one of the most important
and widely studied nonlinear optimization problems. In general, OPF seeks to optimize the …
and widely studied nonlinear optimization problems. In general, OPF seeks to optimize the …
Optimal power flow: A bibliographic survey II: Non-deterministic and hybrid methods
S Frank, I Steponavice, S Rebennack - Energy systems, 2012 - Springer
Over the past half-century, Optimal Power Flow (OPF) has become one of the most important
and widely studied nonlinear optimization problems. In general, OPF seeks to optimize the …
and widely studied nonlinear optimization problems. In general, OPF seeks to optimize the …
Hybrid particle swarm optimization with wavelet mutation and its industrial applications
A new hybrid particle swarm optimization (PSO) that incorporates a wavelet-theory-based
mutation operation is proposed. It applies the wavelet theory to enhance the PSO in …
mutation operation is proposed. It applies the wavelet theory to enhance the PSO in …
Applications of computational intelligence techniques for solving the revived optimal power flow problem
MR AlRashidi, ME El-Hawary - Electric Power Systems Research, 2009 - Elsevier
Computational intelligence tools are attracting added attention in different research areas
and research in power systems is not different. This paper provides an overview of major …
and research in power systems is not different. This paper provides an overview of major …
Probabilistic transient stability constrained optimal power flow for power systems with multiple correlated uncertain wind generations
S Xia, X Luo, KW Chan, M Zhou… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
This paper proposes a novel probabilistic transient stability constrained optimal power flow
(P-TSCOPF) model to simultaneously consider uncertainties and transient stability for power …
(P-TSCOPF) model to simultaneously consider uncertainties and transient stability for power …
Improved hybrid particle swarm optimized wavelet neural network for modeling the development of fluid dispensing for electronic packaging
An improved hybrid particle swarm optimization (PSO)-based wavelet neural network (WNN)
for Modeling the development of Fluid Dispensing for Electronic Packaging (MFD-EP) is …
for Modeling the development of Fluid Dispensing for Electronic Packaging (MFD-EP) is …
Fitness-distance balance based artificial ecosystem optimisation to solve transient stability constrained optimal power flow problem
ABSTRACT The Transient Stability Constrained Optimal Power Flow (TSCOPF) has become
an important tool for power systems today. TSCOPF is a nonlinear optimisation problem …
an important tool for power systems today. TSCOPF is a nonlinear optimisation problem …
A review on applications of heuristic optimization algorithms for optimal power flow in modern power systems
Optimal power flow (OPF) is one of the key tools for optimal operation and planning of
modern power systems. Due to the high complexity with continuous and discrete control …
modern power systems. Due to the high complexity with continuous and discrete control …