Review of optimization techniques applied for the integration of distributed generation from renewable energy sources
Z Abdmouleh, A Gastli, L Ben-Brahim, M Haouari… - Renewable Energy, 2017 - Elsevier
Several potential benefits to the quality and reliability of delivered power can be attained
with the installation of distributed generation units. To take full advantage of these benefits, it …
with the installation of distributed generation units. To take full advantage of these benefits, it …
A review of the optimal allocation of distributed generation: Objectives, constraints, methods, and algorithms
MP HA, PD Huy, VK Ramachandaramurthy - Renewable and Sustainable …, 2017 - Elsevier
Distributed generation, with respect to its ability in utilizing the alternative resources of
energy, provides a promising future for power generation in electric networks. Distributed …
energy, provides a promising future for power generation in electric networks. Distributed …
A survey of swarm intelligence for dynamic optimization: Algorithms and applications
M Mavrovouniotis, C Li, S Yang - Swarm and Evolutionary Computation, 2017 - Elsevier
Swarm intelligence (SI) algorithms, including ant colony optimization, particle swarm
optimization, bee-inspired algorithms, bacterial foraging optimization, firefly algorithms, fish …
optimization, bee-inspired algorithms, bacterial foraging optimization, firefly algorithms, fish …
A comprehensive review of firefly algorithms
I Fister, I Fister Jr, XS Yang, J Brest - Swarm and evolutionary computation, 2013 - Elsevier
The firefly algorithm has become an increasingly important tool of Swarm Intelligence that
has been applied in almost all areas of optimization, as well as engineering practice. Many …
has been applied in almost all areas of optimization, as well as engineering practice. Many …
[HTML][HTML] A new firefly algorithm with improved global exploration and convergence with application to engineering optimization
M Ghasemi, S kadkhoda Mohammadi, M Zare… - Decision Analytics …, 2022 - Elsevier
Firefly algorithm (FA) is a powerful and efficient meta-heuristic algorithm which has shown
effective performance in the recent literature when applied to solving engineering …
effective performance in the recent literature when applied to solving engineering …
A comprehensive technique for optimal allocation of distributed energy resources in radial distribution systems
IA Quadri, S Bhowmick, D Joshi - Applied energy, 2018 - Elsevier
Distributed generation (DG) is a better alternative to meet power demand near the load
centers than centralized power generation. Optimal placement and sizing of DGs plays a …
centers than centralized power generation. Optimal placement and sizing of DGs plays a …
Optimal distributed renewable generation planning: A review of different approaches
Distributed generation has gained a lot of attractions in the power sector due to its ability in
power loss reduction, increased reliability, low investment cost, and most significantly, to …
power loss reduction, increased reliability, low investment cost, and most significantly, to …
Hosting capacity enhancement of renewable-based distributed generation in harmonically polluted distribution systems using passive harmonic filtering
In spite of being economically viable for numerous applications, renewable energy cannot
realise its true penetration potential until some of the barriers are not tackled with …
realise its true penetration potential until some of the barriers are not tackled with …
Optimal design of passive power filter using multi-objective pareto-based firefly algorithm and analysis under background and load-side's nonlinearity
M Bajaj, NK Sharma, M Pushkarna, H Malik… - IEEE …, 2021 - ieeexplore.ieee.org
In this paper, the optimal designing of passive power filter (PPF) is formulated as a multi-
objective optimization (MOO) problem under several constraints of system's performance …
objective optimization (MOO) problem under several constraints of system's performance …
Quantum firefly swarms for multimodal dynamic optimization problems
FB Ozsoydan, A Baykasoğlu - Expert Systems with Applications, 2019 - Elsevier
Optimization problems have attracted attention of researchers for decades. Commonly,
problem related data and problem domain are assumed to be exactly known beforehand …
problem related data and problem domain are assumed to be exactly known beforehand …