Metaheuristic search in smart grid: A review with emphasis on planning, scheduling and power flow optimization applications

M Papadimitrakis, N Giamarelos, M Stogiannos… - … and Sustainable Energy …, 2021 - Elsevier
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 …

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 …

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 …

[HTML][HTML] Solution of optimal reactive power dispatch with FACTS devices: A survey

Y Muhammad, R Khan, MAZ Raja, F Ullah… - Energy Reports, 2020 - Elsevier
With the development of urban and rural infrastructure, the power system is enforced to
operate nearly at its full capacity which result in heavily stressed power grid operation …

Bacterial foraging optimization algorithm: theoretical foundations, analysis, and applications

S Das, A Biswas, S Dasgupta, A Abraham - Foundations of computational …, 2009 - Springer
Bacterial foraging optimization algorithm (BFOA) has been widely accepted as a global
optimization algorithm of current interest for distributed optimization and control. BFOA is …

Optimal reactive power dispatch using chaotic bat algorithm

S Mugemanyi, Z Qu, FX Rugema, Y Dong… - IEEE …, 2020 - ieeexplore.ieee.org
In this paper, the chaotic bat algorithm (CBA) is applied to solve the optimal reactive power
dispatch (ORPD) problem taking into account small-scale, medium-scale and large-scale …

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 …

Hybrid-cloud-based data processing for power system monitoring in smart grids

M Talaat, AS Alsayyari, A Alblawi, AY Hatata - Sustainable Cities and …, 2020 - Elsevier
In this research, a complete vision of using the technology of the smart grid system with a
new communication, information technology techniques and devices has been investigated …

Swarm intelligence-based algorithms within IoT-based systems: A review

O Zedadra, A Guerrieri, N Jouandeau… - Journal of Parallel and …, 2018 - Elsevier
IoT-based systems are complex and dynamic aggregations of entities (Smart Objects) which
usually lack decentralized control. Swarm Intelligence systems are decentralized, self …

Bacterial foraging optimization

KM Passino - Innovations and Developments of Swarm Intelligence …, 2012 - igi-global.com
The bacterial foraging optimization (BFO) algorithm mimics how bacteria forage over a
landscape of nutrients to perform parallel nongradient optimization. In this article, the author …