MEALPY: An open-source library for latest meta-heuristic algorithms in Python
Meta-heuristic algorithms are becoming more prevalent and have been widely applied in
various fields. There are numerous reasons for the success of such techniques in both …
various fields. There are numerous reasons for the success of such techniques in both …
Planning of distributed renewable energy systems under uncertainty based on statistical machine learning
X Fu, X Wu, C Zhang, S Fan… - Protection and Control of …, 2022 - ieeexplore.ieee.org
The development of distributed renewable energy, such as photovoltaic power and wind
power generation, makes the energy system cleaner, and is of great significance in reducing …
power generation, makes the energy system cleaner, and is of great significance in reducing …
[HTML][HTML] A new artificial ecosystem-based optimization integrated with Nelder-Mead method for PID controller design of buck converter
Over the last decade, there has been a constant development in control techniques for DC-
DC power converters which can be classified as linear and nonlinear. Researchers focus on …
DC power converters which can be classified as linear and nonlinear. Researchers focus on …
Marine predators algorithm for optimal allocation of active and reactive power resources in distribution networks
The principal motivation of the marine predators algorithm (MPA) is the common foraging
technique, including Lévy and Brownian motions in ocean predators coupled with optimal …
technique, including Lévy and Brownian motions in ocean predators coupled with optimal …
Groundwater level modeling using augmented artificial ecosystem optimization
Nature-inspired optimization is an active area of research in the artificial intelligence (AI)
field and has recently been adopted in hydrology for the calibration (training) of both process …
field and has recently been adopted in hydrology for the calibration (training) of both process …
Optimum modified fractional order controller for future electric vehicles and renewable energy-based interconnected power systems
Several issues have been risen due to the recent vast installations of renewable energy
sources (RESs) instead of fossil fuel sources in addition to the replacement of electric …
sources (RESs) instead of fossil fuel sources in addition to the replacement of electric …
A comprehensive review of recent advances in optimal allocation methods for distributed renewable generation
Distributed generation (DG) has a key role in enlarging the implementation of renewable
energy resources (RES). However, the intermittent and uncontrollable nature of RES can …
energy resources (RES). However, the intermittent and uncontrollable nature of RES can …
A mixed-integer linear programming model for the simultaneous optimal distribution network reconfiguration and optimal placement of distributed generation
LA Gallego Pareja, JM López-Lezama… - Energies, 2022 - mdpi.com
Distributed generation (DG) aims to generate part of the required electrical energy on a
small scale closer to the places of consumption. Integration of DG into an existing electric …
small scale closer to the places of consumption. Integration of DG into an existing electric …
[HTML][HTML] Optimal DG allocation and sizing in distribution systems with Thevenin based impedance stability index
Abstract The applications of Distributed Generation (DG) play a significant role to provide the
benefit to conventional distribution systems. However, the sizing and location of these DG …
benefit to conventional distribution systems. However, the sizing and location of these DG …
Multi-objective optimal siting and sizing of distributed generators and shunt capacitors considering the effect of voltage-dependent nonlinear load models
Load modeling is essential to distribution system analysis, planning, and control. Therefore,
in this work, effect of non-linear load models has been considered for the optimal site and …
in this work, effect of non-linear load models has been considered for the optimal site and …