In this study, analytical techniques and the Monte Carlo method were both applied to solve a probabilistic load flow in radial distribution networks with photovoltaic-distributed generation, but considering technical constraints that apply (e.g. voltage regulation). The technique used study combined of cumulants Gram-Charlier expansion resolve flow. This was performed by modelling loads photovoltaic (PV) distributed generation as random variables. For purpose, authors developed new model...

Photovoltaic (PV) systems are gradually replacing conventional synchronous generators. However, reduced system inertia and lack of dynamic grid support from PV the main issues that could have a detrimental impact on transient response in power when critical contingencies arise. In this study, authors modelled analysed small-signal stability for representative transmission with realistic loading scenarios high penetration levels. First, eigenvalues were calculated to identify modes....

This paper presents a probabilistic method that accurately verifies the fulfilment of voltage constraints in radial distribution systems (RDSs) with photovoltaic (PV) and electric vehicle (EV) charging loads. problem has not been comprehensively discussed. The proposed (PPM) involves calculation input variable cumulants, linearization load-flow equations, application cumulant Cornish-Fisher expansion. Obviously, it is first necessary to model PV EV loads as random variables. In addition,...

This article introduces a modified version of the Artificial Ecosystem Optimization (AEO) algorithm, called Long-term Memory Component AEO (LMAEO), for optimizing reconfiguration radial distribution networks. The LMAEO algorithm incorporates long-term memory component, enabling individuals in population to make decisions based on past experiences. integration allows explore wider range potential solutions during optimization process, potentially leading improved performance and better...

Feeding biomass-fueled gas engines (BFGEs) with olive tree pruning residues offers new opportunities to decrease fossil fuel use in road vehicles and electricity generation. BFGEs, coupled radial distribution systems (RDSs), provide renewable energy power that can feed electric vehicle (EV) charging stations. However, the combined impact of BFGEs EVs on RDSs must be assessed assure technical constraint fulfilment. Because stochastic nature source/load, it was decided a probabilistic approach...

Abstract This article presents a developed method to improve the representation of voltage-controlled bus in current injection load flow method. improvement is based on hybrid and power mismatches formulation, where equations are represented by buses mismatches. In this method, advantages Newton–Raphson collected. The total number reduced, only one equation required for each bus. also describes direct modeling voltage/power control devices static synchronous compensator can be as node terms...

Advancing decarbonization critically depends on the integration of PV systems into microgrids. However, this faces challenges, including variability photovoltaic solar energy production, demands management, and complexities grid synchronization communication. To address these a emulator platform is an essential tool. This paper presents novel four-layer that seamlessly integrates power systems, control measurement instrumentation, communication processes. The proposed enables emulation I-V...

The increasing integration of distributed generation (DG) and the rise microgrids have reshaped operation distribution systems, introducing both challenges opportunities for optimization. This study presents a methodology that combines network reconfiguration with buses flexible power in order to improve efficiency cost-effectiveness networks. Flexible buses, which aggregate multiple or controllable resources, function as control points can dynamically adjust active reactive within...

In this study, a method for solving probabilistic three‐phase power flow in radial distribution networks and taking into account the technical constraints of system is presented. Regulation voltage one main problems to be taken with distributed generation. The present study introduces model determine performance system. This considers random nature lower heating value biomass loads. presents new hybrid technique combining shuffled frog leaping algorithm that solved by Monte Carlo method....

Abstract This article shows that technical constraints must be considered in radial distribution networks, where voltage regulation is one of the primary problems distributed generation photovoltaic systems. Loads and production are modeled as random variables. Results prove proposed method can applied for keeping voltages within desired limits at all load buses a grid-connected system. To evaluate performance system, this has developed probabilistic model takes into account nature solar...

Grid-connected photovoltaic (PV) systems are designed to provide energy the grid. This transfer must fulfil some requirements such as system stability, power quality and reliability. Thus, aim of this work is design control a grid-connected PV via wireless guarantee correct operation system. It crucial monitor supervise and/or detect faults in real time remote way. To do that, DC/DC converter DC/AC controlled wirelessly, reducing costs cabling installations. The used methods sliding for...

Over the past decades researchers have described what happens to water when a polarizing external field is applied it and changes bonding forces existing in it. Water evaporation, an essential process nature, has been targeted great number of studies. In this paper, static magnetic fields ranging from 30-to-200 mT were circulating purified study their effect on how evaporation rate changed under different ambient conditions. A statistical approach was employed verify significance...

Wind energy technologies have emerged as the predominant renewable source within framework of present-day electric power systems. Their design process, aligned with foundational theories, ought to be precision-engineered and systematized fully maximize potential this source. This study presents a platform solution designed built characterize assess Small Turbines (SWT), based on free software open hardware. Additionally, developed methodology step-by-step guide is disclosed. The...

AbstractAbstract—This article shows a method to optimize the reliability of an electric power system by introduction distributed generation. The index is determined as failure probability system. A hybrid that uses binary shuffled frog-leaping algorithm and probabilistic load flow proposed search large number combinations for location size biomass plants photovoltaic units. combination with best performance minimizes (probability failure) system.Keywords: flowreliability systemsbiomassgas...