A systematic review of optimal planning and deployment of distributed generation and energy storage systems in power networks
Climate change is encouraging a growing interest worldwide to increase renewable
distributed generation (DG) integration into the power grid. DG is free from greenhouse gas …
distributed generation (DG) integration into the power grid. DG is free from greenhouse gas …
Optimizing rice plant disease detection with crossover boosted artificial hummingbird algorithm based AX-RetinaNet
SP Sankareshwaran, G Jayaraman… - Environmental …, 2023 - Springer
Rice is the most important cereal food crop in the world, and half of the world's population
uses rice as a staple food for its energy source. The yield production qualities and quantities …
uses rice as a staple food for its energy source. The yield production qualities and quantities …
Optimal design and three-level stochastic energy management for an interconnected microgrid with hydrogen production and storage for fuel cell electric vehicle …
A new trend in the transportation sector globally can be observed in a shift away from
gasoline-powered vehicles to Hydrogen-based fuel-cell electric vehicles (FCEVs), aimed at …
gasoline-powered vehicles to Hydrogen-based fuel-cell electric vehicles (FCEVs), aimed at …
Multi-objective distributed generation hierarchical optimal planning in distribution network: Improved beluga whale optimization algorithm
This study constructs a distributed generation (DG) multi-objective hierarchical optimal
planning model. A solution method is proposed based on an improved beluga whale …
planning model. A solution method is proposed based on an improved beluga whale …
[HTML][HTML] Maximum hosting capacity estimation for renewables in power grids considering energy storage and transmission lines expansion using hybrid sine cosine …
The broad spread of renewable energy sources (RESs) and storage systems increases
modern power systems' challenges and may conflict with system operation requirements …
modern power systems' challenges and may conflict with system operation requirements …
LCAHA: A hybrid artificial hummingbird algorithm with multi-strategy for engineering applications
Abstract The recently introduced Artificial Hummingbird Algorithm (AHA) exhibits competitive
performance in develo** optimization concerns. However, AHA has an imbalance …
performance in develo** optimization concerns. However, AHA has an imbalance …
An enhanced jellyfish search optimizer for stochastic energy management of multi-microgrids with wind turbines, biomass and PV generation systems considering …
The energy management (EM) solution of the multi-microgrids (MMGs) is a crucial task to
provide more flexibility, reliability, and economic benefits. However, the energy management …
provide more flexibility, reliability, and economic benefits. However, the energy management …
Effects of emission reduction and rework policy in a production system of green products: An interval valued optimal control theoretic approach
Over the last few decades, the implementation of emission regulation by the government
due to the impact of emissions from the industrial sector on the environment has included a …
due to the impact of emissions from the industrial sector on the environment has included a …
An effective optimization strategy for design of standalone hybrid renewable energy systems
In this research, a hybrid algorithm called a Gradient Artificial Hummingbird Algorithm
(GAHA) is developed for reducing energy cost (EC) of microgrid system; this hybrid …
(GAHA) is developed for reducing energy cost (EC) of microgrid system; this hybrid …
Long-term optimal planning of distributed generations and battery energy storage systems towards high integration of green energy considering uncertainty and …
S Ba-swaimi, R Verayiah… - Journal of Energy …, 2024 - Elsevier
Utilizing renewable energy sources (RESs) offers a pathway towards a cleaner and more
sustainable future by reducing carbon emissions, enhancing energy generation …
sustainable future by reducing carbon emissions, enhancing energy generation …