Economical-environmental-technical optimal power flow solutions using a novel self-adaptive wild geese algorithm with stochastic wind and solar power
This study introduces an enhanced self-adaptive wild goose algorithm (SAWGA) for solving
economical-environmental-technical optimal power flow (OPF) problems in traditional and …
economical-environmental-technical optimal power flow (OPF) problems in traditional and …
Stochastic Optimal Power Flow Integrating with Renewable Energy Resources and V2G Uncertainty Considering Time-Varying Demand: Hybrid GTO-MRFO Algorithm
Over the past ten years, global electricity networks have undergone rapid advancements,
primarily driven by the widespread adoption of renewable energy resources (RES). While …
primarily driven by the widespread adoption of renewable energy resources (RES). While …
Optimal power flow of thermal-wind-solar power system using enhanced Kepler optimization algorithm: Case study of a large-scale practical power system
In the current century, electrical networks have witnessed great developments and
continuous increases in the demand for fossil fuels based energy, leading to an excessive …
continuous increases in the demand for fossil fuels based energy, leading to an excessive …
Multi-factor PM2. 5 concentration optimization prediction model based on decomposition and integration
H Yang, W Wang, G Li - Urban Climate, 2024 - Elsevier
With the rapid expansion of increased energy consumption, the issue of air pollution comes
to be increasingly critical. It is essential to achieve accurate PM2. 5 concentration prediction …
to be increasingly critical. It is essential to achieve accurate PM2. 5 concentration prediction …
Enhanced growth optimizer algorithm with dynamic fitness-distance balance method for solution of security-constrained optimal power flow problem in the presence of …
B Ozkaya - Applied Energy, 2024 - Elsevier
In modern power system applications, security constrained optimal power flow (SCOPF), in
which different contingency operating situations arise, is a complex, non-convex, and …
which different contingency operating situations arise, is a complex, non-convex, and …
Boosting cuckoo optimization algorithm via Gaussian mixture model for optimal power flow problem in a hybrid power system with solar and wind renewable energies
This paper presents a novel approach, the Gaussian Mixture Method-enhanced Cuckoo
Optimization Algorithm (GMMCOA), designed to optimize power flow decision parameters …
Optimization Algorithm (GMMCOA), designed to optimize power flow decision parameters …
Integrating Firefly and Crow Algorithms for the Resilient Sizing and Siting of Renewable Distributed Generation Systems under Faulty Scenarios
This study aimed to optimize the sizing and allocation of renewable distributed generation
(RDG) systems, with a focus on renewable sources, under N-1 faulty line conditions. The …
(RDG) systems, with a focus on renewable sources, under N-1 faulty line conditions. The …
Optimal power dispatch in hybrid power system for medium-and large-scale practical power systems using self-adaptive bonobo optimizer algorithm
Incorporating renewable energy sources (RESs) introduces a notable amount of uncertainty
in the optimal planning and operation of electrical power grids. Under these circumstances …
in the optimal planning and operation of electrical power grids. Under these circumstances …
[PDF][PDF] Enhancing Renewable Energy Integration: A Gaussian-Bare-Bones Levy Cheetah Optimization Approach to Optimal Power Flow in Electrical Networks
In the contemporary era, the global expansion of electrical grids is propelled by various
renewable energy sources (RESs). Efficient integration of stochastic RESs and optimal …
renewable energy sources (RESs). Efficient integration of stochastic RESs and optimal …
[CITAS][C] Optimal power flow solution incorporating hybrid conventional and renewable resources using electric eel foraging optimization algorithm
A Fellahi, S Mouassa, H Mellah - Studies in Engineering and Exact Sciences, 2024