Incomplete and inaccurate information of network topology line parameters affects state monitoring, analysis, control active distribution networks. To solve this issue, article proposes a method for identifying using the measurements obtained from smart meters (SMs) microphasor measurement units (<inline-formula> <tex-math notation="LaTeX">$\mu $ </tex-math></inline-formula>PMUs) installed at various locations in network. A data-driven approach was developed, which uses probabilistic...

This paper proposes an extended Kalman filter (EKF) based control strategy for fault ride-through operation in two-stage grid-connected photovoltaic (GPV) system. Unlike the conventional controllers operation, proposed does not compromise with power quality improvement features system while enabling operation. The controller accounts nonlinear loads system, grid harmonic-currents elimination, and grid-currents balancing even during harmonic/distorted voltages. IEEE Standard-1547.4 compels...

Power distribution systems (PDS) serve as the backbone of our modern society, ensuring electricity reaches homes, businesses, and critical infrastructure. However, increasing digitization interconnectivity these have exposed them to cyber threats. This study presents a comprehensive approach evaluate enhance resilience PDS under attacks using Common Vulnerability Scoring System (CVSS) complex network parameters. By systematically assessing vulnerabilities computing once CVSS thresholds are...

In this article, the infrastructure required for seamless and effective operation of Electric Vehicles (EVs) will be developing because electric vehicles are increasing exponentially on road. One them is vehicle-to-grid (V2G) technology. While a vehicle parked or not in use, V2G system transfers battery's energy to grid. addition helping grid, also improve efficiency vehicles. The EV has been charged discharged using bi-directional DC-DC (BDDC) converter. PI controller used BDDC grid side...

This paper presents a multipurpose three-phase double-stage grid interfaced photovoltaic (GPV) system using an adaptive nonlinear control strategy. Along with peak power extraction from array, the proposed is capable of harmonics currents elimination, reactive compensation, balancing, and dc-link voltage control. The fundamental information polluted load current are precisely estimated observer. A strictly positive real Lyapunov function used to derive update laws for DC-link adaptively...

This article deals with a method for seamless transition of three-phase virtual synchronous generator, switched between off-grid and grid-interfaced modes vice-versa. The proposed control strategy achieves two-fold advantages. First, it eliminates the need synchronizing tools such as phase-locked-loops, separate islanding detection techniques during unintentional events; controller is so formulated to adapt automatically mode transitions, by inheriting synchronization tasks within itself. As...

This article presents an enhanced power quality solar photovoltaic (PV) inverter enabling common-mode leakage current elimination. A three-phase transformerless energy conversion system is considered here, which, along with peak active-power production from PV array, ensures different improvement capabilities such as grid harmonics mitigation, currents balancing while also offering the reactive support. Unlike conventional inverters, this strategy robust respect to abnormalities in voltages...

With the increase in number of electric vehicles (EV), there is a need for development EV charging infrastructure (EVCI) to facilitate fast charging, thereby mitigating congestion at stations. The role public station depot charge vehicle, prioritizing achievement desired state (SoC) value battery or till departure EV, whichever occurs first. integration cyber and physical components within EVCI defines it as power system (CPPS), increasing its vulnerability diverse attacks. When an...

This paper deals with partially decoupled adaptive Volterra filter (PDAVF) based control for a three-phase two-stage grid-interfaced photovoltaic (GPV) system. Besides maximum power extraction, the proposed is having potential of grid currents balancing, harmonics mitigation, reactive compensation, and adjustment DC bus voltage. The technique efficient in extraction weight component reference an adaptation routine weights uses principle fifth-order PDAVF single-element observation vector...

With the increased penetration of electric vehicles (EVs) and modern electronic loads conventional electrical grid is heavily loaded. To integrate these with grid, DC microgrid (DC-μG) provide significant advantages like reduced number conversion stages multiple dc voltage levels by virtue DC-DC converters. Considering growing need renewable energy sources potential advantage EVs seen as storage devices this paper proposes control strategy for source DC-μG to assist main grid. A central...

This article proposes a predictive optimal switching vector controlled virtual synchronous machine (VSM) for three-phase microgrid applications, which inherits self-synchronization and islanding detection technique within the controller. A novel synchronization signal is introduced here, to modify frequency reference in VSMs. integrates control loop, thereby resulting smooth system responses without causing stability issues associated with phase-locked loops. Moreover, it totally eliminates...

State-estimation plays a vital role to monitor, observe and understand the combined heat electric network. In this paper, hybrid framework is presented accurately estimate system states of distribution network network, using limited non-redundant measurements obtained from supervisory control data acquisition advanced metering infrastructure systems. The involves two steps, namely, state-forecasting state-estimation. uses deep neural forecast at every fifteen minutes interval, while these...

This article presents a grid-connected single-stage photovoltaic (PV) system using an adaptive normalized notch filter (ANNF). An unknown time-varying fundamental frequency is precisely estimated from and consequently, the load component extracted this algorithm. The convergence of algorithm independent both amplitude component, therefore, robust to these changes in current. estimation current with perturbations on load/grid side well analyzed. ANNF based control strategy not only efficient...

Battery temperature plays a critical role in determining electric vehicles' performance, safety and lifespan. Accurate estimation of battery is essential for improving the monitoring control thermal management systems. This paper presents novel approach estimating using physics-informed neural networks (PINNs) dynamic driving conditions. The proposed combines physics-based models with data-driven to produce hybrid PINN model capable accurately efficiently temperature. PINNs are trained...

Due to stochastic nature of wind, considerably impact the stability grid and deteriorates power quality. This paper is attributed sophisticated control design grid-interfaced doubly fed induction generator (DFIG) wind generation system. The battery storage system incorporated in DC-link with aid a bidirectional DCDC converter, sustain steady voltage. It also supports smoothing, balance even under speed variation. rotor side converter (RSC) employs an off - maximum point tracking approach...

To optimize the usage of solar energy, it is an utmost need to run photovoltaic (PV) panels at their maximum power point (MPP), which may be done by applying tracking (MPPT) techniques. However, during partial shading situation p-v curve will have many peaks makes more challenging. The global MPPT cannot properly tracked using conventional control methods. In this study, a novel method called grey wolf algorithm (GWA) described, and levy distribution derived improve convergence GWA. This...