Predicting solar irradiance has been an important topic in renewable energy generation. Prediction improves the planning and operation of photovoltaic systems yields many economic advantages for electric utilities. The can be predicted using statistical methods such as artificial neural networks (ANN), support vector machines (SVM), or autoregressive moving average (ARMA). However, they either lack accuracy because cannot capture long-term dependency used with big data scalability. This...

In this paper, an economic dispatch (ED) problem for a community microgrid is studied. microgrid, each agent pursues ED its personal resources. addition, capable of trading electricity with other agents through local energy market. market operating in the presence grid introduced. The proposed mainly developed experimental at Missouri University Science and Technology, Rolla, MO, USA, can be applied to distribution level microgrids. To develop algorithm, first, modeled dynamic algorithm...

This paper introduces a distributed economic dispatch strategy for microgrids with multiple energy storage systems. overcomes the challenges of dynamic couplings among all decision variables and stochastic in centralized dispatching formulation. The proposed can be implemented microgrid central controller as problems simplified decomposed formulations. It also local controllers managed by controller. Numerical studies experimental results illustrate effectiveness

This paper presents an interleaved boost converter with a bifold Dickson voltage multiplier suitable for interfacing low-voltage renewable energy sources to high-voltage distribution buses and other applications that require high-voltage-gain conversion ratio. The proposed was constructed from two stages: stage, which contains inductors operated by low-side active switches, cell (VMC) mainly consists of diodes capacitors increase the overall gain. offers ratio low stress on semiconductor...

In this paper, a family of non-isolated interleaved high-voltage-gain DC-DC converters is presented. This can be used in wide variety applications, such as photovoltaic systems interface to high voltage DC distribution bus microgrid and an X-ray system power supply. The general structure illustrated consists two stages: boost stage multiplier stage. two-phase converter, it converts the input AC square waveform. Moreover, using increases frequency components so that easily filtered with...

This paper investigates application of an unconstrained model predictive controller (MPC) known as a finite horizon linear quadratic regulator (LQR) for current control switched reluctance motor (SRM). The proposed LQR can cope with the measurement noise well uncertainties within machine inductance profile. utilizes MPC to generate optimal duty cycles drive SRMs using pulse-width modulation (PWM) in oppose delta-modulation. In this paper, first practical scheme embedded implementation system...

Grid-forming (GF) inverter technology is a novel and evolving concept for systems with high penetration of renewables. The integration these grid-independent units the existing conventional generators gradually replacing them should contribute to stabilizing power grid. Several control strategies are proposed in order design GF inverters emulate kinetic energy self-synchronization features synchronous machines robust on voltage frequency deal dynamic issues In this article, photovoltaic...

This article proposes three high step-up Z-source (ZS)-based dc–dc converters by integrating the conventional ZS network with switched-capacitor (SC) cells. The proposed offer a simple structure smooth input current, high-voltage gain, and low voltage stress on semiconductor devices. In addition, converters, unlike some existing ZS-based topologies in literature, do not impose any limitation duty cycle of power switch. These characteristics make excellent candidates to interface low-voltage...

In this paper, an inductance surface estimation and learning for utilization with a stochastic model predictive control (MPC) scheme the current of switched reluctance motors (SRMs) is introduced. This MPC equipped state estimators implemented as recursive linear quadratic regulator practical deployments in hybrid vehicle applications. Additionally, mechanism developed to dynamically adapt profile machine update Kalman filter parameters. The introduced can cope noise well uncertainties...

Complex computer systems and electric power grids share many properties of how they behave are structured. A microgrid is a smaller grid that contains several homes, energy storage units, distributed generators. The main idea behind microgrids the ability to work even if not supplying power. That is, unit generation will supply in case, there excess production from renewable sources, it go unit. Therefore, becomes decentralized terms control production. To deal with this change, one needs...

Solar irradiance prediction has a significant impact on various aspects of power system generation. The predictive models can be deployed to improve the planning and operation renewable systems purchase process bring several advantages utilities. is affected by factors, such as clouds dust, it becomes challenging for physical predict capture dynamics. statistical methods are commonly used irradiance. These include autoregressive moving average, support vector machine, artificial neural...

Mobile platforms cover a broad range of applications from small portable electric devices, drones, and robots to transportation, which influence the quality modern life. The end-to-end energy systems these are moving toward more electrification. Despite their wide power ratings diverse applications, electrification shares several technical requirements. Electrified mobile have minimal or no access grid, thus, achieve long operating time, ultrafast charging during motion as well advanced...

This article proposes a new high step-up dc–dc converter for photovoltaic applications. A dual-switch structure with three-winding coupled inductor (3WCI), whose secondary and tertiary windings are integrated switched-capacitor cells, is adopted to achieve high-voltage gain small duty cycle, thus avoiding an extremely cycle. The input current continuous, the voltage could be adjusted by two parameters: switches' cycle 3WCI's turns-ratio, increasing design flexibility of proposed converter....

In this article, two single-switch quadratic boost converters based on a three-winding coupled inductor (CI) are proposed. These provide high voltage gain in low duty cycle, reduced stress the power switch, continuous input current with <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">di/dt,</i> higher design flexibility, and limited falling rate multiplier diodes to minimize reverse recovery loss. Moreover, first proposed converter has...

This paper studies the stability analysis of a dc distribution network in hybrid micro-grid. A micro-grid with ac and networks based on multi-port power electronic interfaces (MPEIs) is conceptualized. Afterwards, an extended averaging method for modeling systems multiple switching converters introduced. Using this method, modeled. Furthermore, assessment performed using pole-zero small-signal model. Simulation results experimental measurements are provided to validate

Recent technical advances in control, protection and interconnection of distributed power generation units imply that it is practically viable economically profitable to keep them as backup generators isolated operating modes. Therefore, along with the development islanding detection techniques, seamless operation transition between islanded grid connected modes required more sophisticated control strategies are needed recognize existing working condition adjust performance meet strict...

In this paper, a neural network predictive controller (NNPC) is proposed to control buck converter. Conventional controllers such as proportional-integral (PI) or proportional-integral-derivative (PID) are designed based on the linearized small-signal model near operating point. Therefore, performance of in start-up, load change, reference change not optimal since system changes by changing The optimally controls converter following concept traditional controller. advantage NNPC that...

Recent trends in the utilization of renewable and sustainable energy sources have led to an increased penetration inertialess power electronics-based resources into electrical grid. The concept virtual synchronous generator (VSG) has recently been studied overcome drawbacks fast-responding inverter by mimicking behavior a traditional generator. majority literature on VSGs assumes operation inductive networks; however, such control algorithms do not operate well more resistive network as...

In this article, an interleaved high-voltage gain dc–dc converter is proposed for use with photovoltaic (PV) systems. By integrating two three-winding coupled inductors (CIs) switched capacitor cells, the voltage further extended. Through passive diode-capacitor clamp circuits, energy stored in leakage inductances absorbed; additionally, stress of power switches clamped to a value far lower than output voltage, which enables designers select low-voltage ratings. Due structure converter,...

This paper presents the dynamic behavior of multiport power electronic interface (MPEI) under load/source disturbances. A cascaded topology for MPEI is considered. system capable management local generations, loads, and storage systems. Large-signal small-signal models are developed. These combined with corresponding control algorithms. Simulated experimental transient responses to disturbances on each port presented. The in response disturbance analyzed. Simulation results compared order...

This paper presents a very high frequency dc-dc boost converter. design features low voltage stress on the switch, efficiency, and simple control. The energy storage requirements provide more effective integration. A proposed resonant gate driver provides variable duty cycle possibility of control converter at frequencies. 60-MHz prototype is designed implemented. Experimental results demonstrate effectiveness strategy.

A new approach to control a grid-connected synchronverter by using dual heuristic dynamic programing (DHP) design is presented. The disadvantages of conventional controller such as the challenges cope with nonlinearity, uncertainties, and non-inductive grids are discussed. To deal aforementioned neural network–based adaptive critic introduced optimize associated cost function. characteristic networks facilitates performance under uncertainties unknown parameters (e.g. different power...

In this paper, a neural network predictive controller is proposed to regulate the active and reactive power delivered grid generated by three-phase virtual inertia-based inverter. The concept of conventional synchronous generator (VSG) discussed, it shown that when inverter connected non-inductive grids, PI-based VSGs are unable perform acceptable tracking. also discussed replace traditional VSGs. This replacement enables inverters in both inductive grids. simulation results confirm...

This paper proposes an interleaved high step-up DC-DC converter with the coupled inductor (CI) and built-in transformer (BIT) for renewable energy applications. Two double-winding (2W) CIs one triple-winding (3W) BIT are integrated switched-capacitor (SC) voltage multiplier cells (VMCs) to achieve high-voltage gains without extreme duty cycles. The turns-ratios provide two other degrees of freedom—in addition cycle—to adjust gain that leads increased design flexibility. diodes turn off...

In this article, a novel Q-learning scheduling method for the current controller of switched reluctance motor (SRM) drive is investigated. The algorithm class reinforcement learning approaches that can find best forward-in-time solution linear control problem. An augmented system constructed based on reference signal and SRM model to allow solving algebraic Riccati equation current-tracking This article introduces new scheduled-Q-learning utilizes table Q-cores lies nonlinear surface an...