[HTML][HTML] Renewable energy for SDG-7 and sustainable electrical production, integration, industrial application, and globalization
Traditional electricity is produced from coal, mineral oil, or fossil fuels those have produced a
heavy environmental pollution by the greenhouse gas emissions and industrial pollutants …
heavy environmental pollution by the greenhouse gas emissions and industrial pollutants …
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 …
[HTML][HTML] A Modified Artificial Hummingbird Algorithm for solving optimal power flow problem in power systems
Optimal power flow (OPF) problem solution is a crucial task for the operators and decision
makers to assign the best setting of the system components to obtain the most economic …
makers to assign the best setting of the system components to obtain the most economic …
A new optimization algorithm to solve multi-objective problems
Simultaneous optimization of several competing objectives requires increasing the
capability of optimization algorithms. This paper proposes the multi-objective moth swarm …
capability of optimization algorithms. This paper proposes the multi-objective moth swarm …
An artificial intelligence-based model for optimal conjunctive operation of surface and groundwater resources
S Akbarifard, MR Madadi… - Nature …, 2024 - nature.com
A hybrid simulation-optimization model is proposed for the optimal conjunctive operation of
surface and groundwater resources. This second-level model is created by finding and …
surface and groundwater resources. This second-level model is created by finding and …
Optimization of hydropower energy generation by 14 robust evolutionary algorithms
The use of evolutionary algorithms (EAs) for solving complex engineering problems has
been very promising, so the application of EAs for optimal operation of hydropower …
been very promising, so the application of EAs for optimal operation of hydropower …
Comparative analysis of some evolutionary-based models in optimization of dam reservoirs operation
Deriving optimal operation policies for multi-reservoir systems is a complex engineering
problem. It is necessary to employ a reliable technique to efficiently solving such complex …
problem. It is necessary to employ a reliable technique to efficiently solving such complex …
Optimum fractional tilt based cascaded frequency stabilization with MLC algorithm for multi-microgrid assimilating electric Vehicles
An important issue in interconnected microgrids (MGs) is the realization of balance between
the generation side and the demand side. Imbalanced generation and load demands lead to …
the generation side and the demand side. Imbalanced generation and load demands lead to …
Study on the constraint handling method for high-dimensional optimization of cascade reservoirs
Multicomplex constraints often need to be considered in the optimal operation of cascade
reservoirs with high-dimensional decision variables, making it difficult for traditional …
reservoirs with high-dimensional decision variables, making it difficult for traditional …
[HTML][HTML] Energy management of microgrids with a smart charging strategy for electric vehicles using an improved run optimizer
WK Meteab, SAH Alsultani, F Jurado - Energies, 2023 - mdpi.com
Electric vehicles (EVs) and renewable energy resources (RERs) are widely integrated into
electrical systems to reduce dependency on fossil fuels and emissions. The energy …
electrical systems to reduce dependency on fossil fuels and emissions. The energy …