This paper presents the detection of High Impedance Fault (HIF) in solar Photovoltaic (PV) integrated power system using recurrent neural network-based Long Short-Term Memory (LSTM) approach. For study this, an IEEE 13-bus was modeled MATLAB/Simulink environment to integrate 300 kW PV systems for analysis. Initially, three-phase current signal during non-faulty (regular operation, capacitor switching, load transformer inrush current) and faulty (HIF, symmetrical unsymmetrical fault)...

This paper proposes a new population-based hybrid particle swarm optimized-gravitational search algorithm (PSO-GSA) for tuning the parameters of proportional-integral-derivative (PID) controller two-area interconnected dynamic power system with presence nonlinearities such as generator rate constraints (GRC) and governor dead-band (GDB). The Kp, Ki, Kd are obtained by minimizing objective function formulated using steady-state performance indices like Integral absolute error (IAE) tie-line...

Nanoparticles are generally anti-lipophilic and have a tendency to aggregate when they embedded in nanofluids. Thus, surfactants major role achieving long term dispersion stability of nanofluids through surface modification nanoparticles. However, the surfactant changes structure interfacial zone around nanoparticles can crucial impact on dielectric properties Accordingly, this paper aims clarify vegetable oil based Al <sub xmlns:mml="http://www.w3.org/1998/Math/MathML"...

Heating, ventilation, and air conditioning (HVAC) systems account for 60% of the energy consumption in commercial buildings. Each year, millions dollars are spent on electricity bills by building operators. To address this challenge, a predictive model named Bayesian optimisation Convolution Neural Network Multivariate Long Short-term Memory (BO CNN-M-LSTM) is introduced research. The proposed designed to perform load forecasting, optimizing usage CNN block extracts local features, whereas...

Microgrid (MG) is a small entity of electrical network which comprises various Distributed Generation (DG) sources, storage devices, and group loads in classes. MG provides reliable secure energy supply to the critical communities while operating either on-grid or off-grid mode. In this study, coordinated power management control strategy for typical low voltage (LV) with integration solar Photovoltaic (PV) facility has been developed analysed Matlab-Simu-link software environment at modes...

In this work, a chaotic search-based hybrid Sperm Swarm Optimized-Gravitational Search Algorithm (CSSO-GSA) is proposed for automatic load frequency control (ALFC) of power system (HPS). The HPS model developed using multiple sources (thermal, bio-fuel, and renewable energy (RE)) that generate to balance the system’s demand. To regulate system, parameters proportional-integral-derivative (PID) controller ALFC are obtained by minimizing integral time absolute error HPS. effectiveness...

This paper proposes a discrete wavelet transform (DWT)-based Graphical Language classifier algorithm for identification of high-impedance fault (HIF) in medium voltage (MV) distribution network 13.8 kV. The proposed method is developed using virtual instrumentation LabVIEW facility, detection various faults such as symmetrical, unsymmetrical, and HIF the system. Initially, MV feeder has been modeled MATLAB/Simulink, DWT analysis carried out with introduction to extract features. extracted...

Microgrid (MG) integrated with Distributed Generation (DG) provides several benefits like reliable, secure, and high efficient of energy supply, while minimizing power loss, deferring expansion distribution infrastructures, reduced carbon emission supply etc. to the communities. Despite benefits, there are challenges existing due integration different characteristics technology DG sources in MG network. Power Quality (PQ) issue is one main technical system. In order provide improved PQ it...

This study proposes SVM based Random Subspace (RS) ensemble classifier to discriminate different Power Quality Events (PQEs) in a photovoltaic (PV) connected Microgrid (MG) model. The MG model is developed and simulated with the presence of PQEs (voltage harmonic related signals distinctive transients) both on-grid off-grid modes network, respectively. In pre-stage classification, features are extracted from numerous PQE by Discrete Wavelet Transform (DWT) analysis, used learn classifiers at...

In this work, the design and implementation of an optimized fractional-order proportional-integral (FOPI) controller for a DC–DC single-ended primary inductance converter (SEPIC) is considered to fulfill application power factor correction voltage regulation along with improved robustness, efficiency, performance characteristics converter. An Atom Search Optimization technique proposed optimize parameters in outer inner current control loop SEPIC model. The model developed using MATLAB...

Nowadays, AC distributed power networks are facing many challenges in guaranteeing and improving the required level of quality indices with increasing nonlinear, time-variable unbalanced loads. Power can benefit from avoiding minimizing different problems, such as frequency fluctuation Total Harmonic Distortions (THDs), by using filters, Hybrid Active Filters (HAPFs). Therefore, attention towards responsible indices, Distortion (THD), Factor (P.F) Pollution (HP) has increased. THD HP...

This paper presents the design and analysis of a single-phase power factor correction (PFC) scheme using DC–DC Zeta converter operating in continuous conduction mode. The presented exhibits non-linearity due to switching elements that degrades performance converter. Therefore, this proposes non-linear cascade control particle swarm optimization-gravitational search algorithm (PSO-GSA) tuned proportional-integral (PI) sliding mode controller (SMC) outer inner loop, respectively, improve...

Microgrid (MG) power system plays an important role to fulfill reliable and secure energy supply critical loads of communities as well for in remote area.Distributed Generation (DG) sources integrated a MG provides numerous benefits, at the same time leads quality issues distribution network.Power Quality (PQ) issue arises due integration intermittent nature Renewable Energy (RE) with advanced Power Electronics (PE) converter technology.Also, presence nonlinear unbalancing seems affect PQ...

In this study, a nature inspired, intelligence swarm-motivated Salp Swarm Algorithm (SSA) has been used for solving non-linear, constrained and non-convex based optimal power flow (OPF) problem. The sailing exploring characteristics of in the seas exhibit swarming features that helps finding solution. prime objective paper is to optimize generation cost loss by proposed method while satisfying both equality inequality constraints system. proffered single approach aims minimize selective such...

Integration of solar PV and wind in to the distribution network is one most promising challenges modern power system networks meet growing demand energy.Analysis effects intermittencies are vital maintain quality.Keeping this view, research paper focuses on impact analysis study a typical with hybrid generation: integration quantify level impacts like variation voltage through load flow analysis.Initially, model developed using PSS-SINCAL profile has been carried out based daily wind/solar...

Wind system integration can lead to adverse effects on modern electric grid so it is imperative assess their dynamic performance before actual plant startup. Transmission operators all over the world stress need for a proper wind turbine generator model as well ancillary service assessment. Due bulk power assessment requirements, development of suitable generic modeling has gained high priority. This paper presents type 4 full converter frequency regulation studies and its comparison with...

Recently, interest in DC networks and converters has increased due to the high number of applications renewable energy systems. Consequently, importance improving efficiency hybrid been highlighted. An optimal control strategy is a significant solution handle challenges controlling interleaved boost–Cuk converter. In this article, modern-optimization-methods-based PWM for power converter developed. order improve performance converter, four modern optimization algorithms—namely, Manta ray...