Jingwei Zhang

Jingwei Zhang
Hohai University · College of Mechanical and Electrical Engineering

PhD, IEEE Member

About

43
Publications
4,899
Reads
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364
Citations
Citations since 2017
35 Research Items
336 Citations
2017201820192020202120222023020406080100
2017201820192020202120222023020406080100
2017201820192020202120222023020406080100
2017201820192020202120222023020406080100
Introduction
Jingwei Zhang currently works at the College of Mechanical and Electrical Engineering, Hohai University. His current research focuses on the intelligent operation and maintenance of photovoltaic systems, fault prognosis of PV array, multi-physics analysis of the electromagnetic devices.

Publications

Publications (43)
Article
The vibration signal of rolling bearing is interfered by the coupling of other various components and environment, which brings challenges to effective feature expression and the establishment of accurate predictor. A fault diagnosis method via 2D feature map of cyclic spectral coherence (CSCoh) after denoising and multi-scale convolutional neural...
Article
Full-text available
This study presents an approach with a simple structure, low complexity and low costs to evaluate the real-time status and localize the faults of a smart PV system at module level based on field conditions. The performance evaluation approach of a PV system is developed through the defined performance indicators, a complex data matrix to track modu...
Article
Full-text available
Currently, the accuracy of modeling a photovoltaic (PV) array for fault diagnosis is still unsatisfactory due to the fact that the modeling accuracy is limited by the accuracy of extracted model parameters. In this paper, the modeling of a PV array based on multi-agent deep reinforcement learning (RL) using the residuals of I–V characteristics is p...
Article
Photovoltaic (PV) arrays, as the core part of PV plants, are sensitive to the complex environment that can lead to fluctuations in their power generation performance. The health status evaluation (HSE) of PV arrays is beneficial for routine maintenance and economic value evaluation. In this paper, a method for evaluating the health status of PV arr...
Article
Photovoltaic (PV) arrays are installed in outdoors and continuously exposed to harsh environmental conditions, which are susceptible to suffer from abnormal and various kinds of faults, reduce the efficiency of power conversion and the lifetime of PV modules, and even cause electric shock and fire. In recent years, many methods of machine learning...
Article
Accurate photovoltaic (PV) power prediction can guarantee the stable operation of a power system. However, complex environmental factors contribute to the chaotic nature of PV power sequences, consequently affecting the prediction accuracy. In this paper, an online PV power prediction model is proposed based on chaotic characteristic analysis, impr...
Article
Purpose This paper aims to establish a piecewise Maxwell stress analytical model of bearingless switched reluctance motor (BSRM) for the full rotor angular positions. The proposed model varies from the existing models, which are only applicable to the partial-overlapping positions of stator and rotor poles. By extending the applicable rotor angular...
Article
Photovoltaic arrays are usually installed outdoors in harsh environments and prone to various faults, which will seriously affect the efficiency of photovoltaic arrays. Therefore, the effective fault detection and diagnosis plays an important role in the safe, operation, and maintenance of the photovoltaic plant. In recent years, machine learning m...
Conference Paper
Full-text available
As people pay more and more attention to greenhouse gases and limited resources, solar energy is widely used as a clean energy source. The performance ratio of PV systems is easily influenced by the various environmental and technical factors, the research on the performance analysis of PV module is in a need. This work is aimed at studying the per...
Conference Paper
Full-text available
Recently, the fault detection and diagnosis of PV systems attracts more attention than ever, due to increasing global installation capacity. The mathematical model of solar cells is the basis of the fault detection and diagnosis of PV systems. In this paper, a simplified double diode model is proposed to reduce the number of model parameters. The d...
Article
At present, most methods for the fault detection and diagnosis (FDD) of the photovoltaic (PV) array strongly rely on comparing the on-line measured electrical parameters with the modeled reference ones, which are challenging the on-line accuracy and time cost of the parameter extraction for modeling the current-voltage (I-V) curves of the PV array....
Article
Full-text available
Aiming at improving the effectiveness and real‐time performance of the fault detection of the photovoltaic (PV) array under different outdoor conditions, a novel method based on Grubbs criterion and local outlier factor (G‐LOF) method is proposed in this study. The simulation model of the PV array is built to obtain the reference current of each PV...
Article
Aiming at the partial shading condition and the step change of irradiance,an algorithm of particle swarm optimization(PSO)and fuzzy variable step incremental conductance method based on the Z- source inverter is proposed. Less iterations of PSO are used to search close to the maximum power point,and the fuzzy variable step incremental conductance m...
Article
Full-text available
The large scale application of the photovoltaic (PV) systems is significantly beneficial to the mitigation of energy crisis. The quality and performance of PV systems directly influence the energy yield. It is necessary to establish more scientific and effective methods to maximize the energy yield. In this paper, the concept of health status is pr...
Article
Full-text available
The bearingless switched reluctance motor (BSRM) integrates the switched reluctance motor (SRM) with the magnetic bearings, which avoids mechanical bearings loss and makes it promising in high speed applications. In this paper, a comprehensive framework for the multi-physics multi-objective optimal design of BSRMs based on finite-element method (FE...
Article
A method for fast calculating the high-frequency harmonic loss (HFHL) in the permanent magnet (PM) of interior PM synchronous machine under the pulse width modulated voltage source inverter supply is proposed. The combination of the frozen differential reluctivity tensor method and the linear frequency finite element analysis (FEA) is proposed to i...
Article
This paper presents a novel global maximum power point tracking (MPPT) method based on the sorting particle swarm optimizer (PSO). At first, the output characteristics of photovoltaic (PV) array under the partial shading conditions are analyzed. As an artificial intelligence algorithm, the sorting PSO is proposed for global MPPT of PV array under p...
Article
Aiming at monitoring photovoltaic (PV) systems, evaluating the degree of fault and locating the fault automatically under different outdoor conditions, this paper discusses a new procedure of fault detection and evaluation of fault degree of the PV system. For the PV array connected by PV modules in series and parallel, each string shares the same...
Article
Based on the Z-source inverter (ZSI), a unified control strategy of grid-connected photovoltaic (PV) system is investigated. It can both compensate the reactive power and restrain the current harmonics. At first, the principle of the proposed unified control is analysed. Then, the space vector pulse width modulation (SVPWM) is improved for insertin...
Article
In recent decades, bearingless switched reluctance motors (BSRMs) have been proposed. However, few researchers focused on the optimal design of the BSRMs. In this paper, the multi-objective optimal design of BSRMs is investigated. At first, an analytical design model is derived from the mathematical model of the BSRMs. An initial design is calculat...
Article
In allusion to the fact that it is hard to judge the shadow of photovoltaic (PV) module, a shadow judgment method based on peak counting and parameter identification is proposed. Firstly, the I-V output characteristic curve of PV module is scanned globally and quickly through programmable DC electronic load, which is used to record the number of no...
Article
Full-text available
A new outdoor photovoltaic (PV) module test platform was introduced to measure I-V characteristic curve of PV module in this study. The proposed test platform was designed centring on the programmable electronic load (E-load) which used the transfer characteristics of metal-oxide-semiconductor field-effect transistor (MOSFET) and controlled PV modu...
Article
Full-text available
Usually, the output characteristics of a photovoltaic (PV) array are significantly affected by non-uniform irradiance which is caused by ambient obstacles, clouds, orientations, tilts, etc. Some local maximum power points (LMPP) in the current-voltage (I-V) curves of a PV array can result in power losses of the array. However, the output power at t...
Conference Paper
* Corresponding author Abstract—Maximum power point tracking (MPPT) is always a hot research area for photovoltaic (PV) system. In this paper, based on high efficiency Z-source PV inverter, a variable universe fuzzy controlled incremental conductance (Inc-Cond) is proposed for MPPT. After designed fuzzy sets and rules, parameters of exponential-typ...
Article
The power voltage (P-V) curve of photovoltaic (PV) arrays connected in parallel to bypass diodes would have several local maximum power points (LMPP) under partial shading conditions (PSC). Conventional maximum power point tracking (MPPT) methods fail to search for the global maximum power point (MPP) because the searched peak point may remain at t...

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