Jinkuan Wang's research while affiliated with Northeastern University and other places

Publications (386)

Article
The increasing penetration of electric vehicles (EVs) gradually evolves the urban transportation network (UTN) and power distribution network (PDN) from being independent to being coupled. To analyze the impact of drivers' behavior on the coupled network, and reveal the relationship between the two networks, a coupled traffic-distribution (CTD) mod...
Article
The strong coupling of wind turbines (WTs) makes the supervisory control and data acquisition (SCADA) data spatially relevant and time-dependent. Aiming at identifying the fault state of wind turbines accurately by comprehensively using the change information in spatial and temporal scale of SCADA data, a novel fault detection method of WTs based o...
Article
The accommodation of wind energy is restricted due to the heat-led operation mode of CHP units. Comprehensive utilization of multi-energy coordinated supply and integration of wind energy, is deemed as an efficient solution for improving energy conservation and operational flexibility. Therefore, a novel hybrid stochastic/interval optimization for...
Article
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With the extensive penetration of distributed renewable energy and self-interested prosumers, the emerging power market tends to enable user autonomy by bottom-up control and distributed coordination. This paper is devoted to solving the specific problems of distributed energy management and autonomous bidding in peer-to-peer (P2P) energy sharing a...
Article
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Cold rolling is an important part of the iron and steel industry, and the unsteady rolling process of cold rolling usually brings significant influences on the stability of product quality. In the unsteady rolling process, various disturbances and uncertainties such as variable lubrication state, variable equipment working conditions lead to diffic...
Chapter
With the development of industrial internet, attention has been paid for edge computing due to the low latency. However, some problems remain about the task scheduling and resource management. In this paper, an edge computing supported industrial cloud system is investigated. According to the system, a constrained static scheduling strategy is prop...
Article
Blast furnace (BF) ironmaking is a highly complicated process with multi-variable nonlinear coupling and multi-mode characteristics. In this article, a developed kernel function partial derivative contribution (KF-PDC) is proposed for abnormality location, which makes up for the deficiency of linear multivariate statistical process monitoring (MSPM...
Article
Uncertainties including demand and environmental factors would increase the operational risk of the energy supply networks. It significantly affects the technical and financial aspects of the integrated electricity and heating system (IEHS). This paper presents a risk-averse multi-objective optimization strategy for short-term decision-making. The...
Preprint
Full-text available
Cold rolling is an important part of the iron and steel industry, and the unsteady rolling process of cold rolling usually brings significant influences on the stability of product quality. In the unsteady rolling process, various disturbances and uncertainties such as variable lubrication state, variable equipment working conditions lead to diffic...
Article
Full-text available
Abstract With the serious energy crisis and speedy development of natural gas utilization, regional integrated electrical and gas energy system is an efficient way to improve energy potency. This paper studies the energy scheduling of integrated electrical and gas energy system with bi‐directional energy conversion at distribution network level, co...
Article
With the increasing demands for autonomous decision, market initiative, and privacy protection, a distributed energy management and strategy-making framework is more appropriate for the future microgrid. Besides, the integration of various distributed generations (DGs) and load facilities with high randomness poses challenges to traditional model-f...
Article
Terahertz (THz) imaging has been applied successfully in numerous applications, from medical imaging to industrial non-destructive detection. However, low resolution has always been a problem due to its long wavelength. A convolution neural network (CNN) is quite effective at improving the resolution of images in optics, in which real numbers are m...
Article
Full-text available
As the global warming crisis becomes increasingly serious, decarbonized integrated electricity-gas system (IEGS) which can reduce CO2 emissions are gradually developed. However, with high proportion of renewable energy access, the inherent randomness and volatility bring great difficulties to energy scheduling optimization of decarbonized IEGS. In...
Article
Full-text available
In the modeling process of fault warning models, modeling data plays an important role, the quality of which affects the performance of the model. The manual selection of modeling data according to fault records is time-consuming and makes it difficult to guarantee the high quality of the data because of inconsistencies, errors, and losses of recor...
Article
With the development of industrial internet, attention has been paid for edge computing due to the low latency. However, some problems remain about the task scheduling and resource management. In this paper, an edge computing supported industrial cloud system is investigated. According to the system, a constrained static scheduling strategy is prop...
Article
The problems of multi-energy optimal management and hybrid power flow are investigated to improve the reliability of the energy network. Given multi-energy network constraints and their coupling characteristics, an integrated electricity and heating system is established to integrate multi-energy networks. The fuzzy soft constraint is constructed t...
Article
In the existing methods for the verification of distribution network connectivity, the suspicious outliers are usually regarded as independent individuals with binary attributes, which is difficult to effectively identify and validate local outlier groups which are correlated with each other. Therefore, a verification method for distribution networ...
Article
Distribution topology is oftentimes changed to cope with the development of local power load. Therefore, connectivity verification has become a critical task for optimal grid operation. In this paper, a novel cloud-edge collaboration approach is presented to identify outlier users and correct connections. Based on the smart meter voltage analytics,...
Article
Full-text available
The optimization of rolling schedule is the main content of tandem cold rolling which will affect the quality of products directly. A rolling schedule with the objectives of minimum energy consump-tion, relative power margin and slippage preventing is established. First, in order to make the rolling sched-ule more accurate in the calculation proces...
Article
Coordinating integrated energy system and clean energy sources, particularly wind energy, is deemed as a desirable means to alleviate the energy and environmental crisis. However, the nature of uncertainty and intermittency of wind energy is imperative to be considered for the stable operation of the system. The gas-fired generation units with fast...
Article
Full-text available
Residential microgrid is widely considered as a new paradigm of the home energy management system. The complexity of Microgrid Energy Scheduling (MES) is increasing with the integration of Electric Vehicles (EVs) and Renewable Generations (RGs). Moreover, it is challenging to determine optimal scheduling strategies to guarantee the efficiency of th...
Article
Considering increasingly scale of renewable energy resources penetration in modern power system, especially the wind power generation, this paper constructs a joint operation system which combined the wind turbine with the battery energy storage system (BESS) in a highly wind power penetrated microgrid, in order to weaken the impact of wind power u...
Article
Full-text available
Condition monitoring can improve the reliability of wind turbines, which can effectively reduce operation and maintenance costs. The temperature prediction model of wind turbine gearbox components is of great significance for monitoring the operation status of the gearbox. However, the complex operating conditions of wind turbines pose grand challe...
Article
Full-text available
As one of the major factors of the nontechnical losses (NTLs) in distribution networks, the electricity theft causes significant harm to power grids, which influences power supply quality and reduces operating profits. In order to help utility companies solve the problems of inefficient electricity inspection and irregular power consumption, a nove...
Article
Full-text available
In order to improve the estimation performance of radar system, previous studies on radar waveform design mostly focused on maximizing the mutual information between the target and the echo to design the transmitted waveform. However, these studies neglect the existence of jammer in the actual electromagnetic environment, so this paper introduces a...
Article
Full-text available
Changes in gait symmetry may indicate health deterioration of seniors, such as inefficiency and loss of balance control. Measuring symmetry of seniors’ daily gaits can provide essential information on health status and functional abilities of the seniors, and therefore has attracted increasing attention in the field of elderly health care. Current...
Article
Full-text available
Terahertz (THz) imaging is quite promising in scientific and biomedical applications nowadays. However, the much longer wavelength degrades the resolution of obtained images compared to classical imaging at optical frequencies. Imaging is considered to be a convolution process between the object function and point spread function (PSF) of the syste...
Article
As a pivotal component of microgrid control and optimization, demand response management (DRM) is implemented in bidirectional communication between power suppliers and users to enhance the efficiency of the microgrid, and to balance supply and demand. Unstable communication, especially in wireless networks, will inevitably influence DRM performanc...
Article
Full-text available
In energy‐harvesting wireless sensor networks (EHWSNs), sensors perform many functions such as sensing, compression, and transmission. It is known that the sensing and transmission processes consume most of the energy by the sensors. The maximisation of the lifetime by balancing energy acquisition and consumption has been the focus of many research...
Article
Nuclear-norm based matrix regression (NMR) methods have been successfully applied for the recognition of corrupted images. However, most of these methods do not consider the label information and are classified as unsupervised learning methods. In this paper, we propose a new regression-based algorithm, named bilateral two-dimensional matrix regres...
Article
Full-text available
Demand response (DR) has become an effective and critical method for obtaining better savings on energy consumption and cost. Buildings are the potential demand response resource since they contribute nearly 50% of the electricity usage. Currently, more DR applications for buildings were rule-based or utilized a simplified physical model. These met...
Article
Interference fringes are quite common in coherent imaging systems. As a kind of waves, terahertz (THz) light has such a phenomenon inherently when multiple reflections happen in focal plane imaging systems, which generally includes several mirrors. In this paper, we will demonstrate the fringe pattern in a typical reflective imaging system, which i...
Article
Full-text available
In most countries, the problems of energy and environment are becoming worse. To deal with the environmental impacts and the dependence on fossil energy, many solutions were proposed. Plug-in electric vehicles (PEVs) is one of the best technique among these solutions. However, the large number of PEVs connected to the power grid simultaneously migh...
Article
Full-text available
A large number of distributed powers access to the distribution network have a multifaceted impact on the power grid, while microgrid is an effective way to solve the impact of distributed generation on the power grid. In microgrid, the proportion of renewable energy is large, while it's output is random. Besides, electric vehicles(EVs) play an imp...
Article
Full-text available
In video surveillance, camera jitter occurs frequently and poses a great challenge to foreground detection. To overcome this challenge without any additional anti-jitter preprocessing, we propose a background subtraction method based on modified online robust principal component analysis (ORPCA). We modify the original ORPCA algorithm by introducin...
Article
Full-text available
In this paper, we propose a cross layer congestion optimization scheme for allocating the resources of wireless sensor networks to achieve maximization of network performance. The congestion control, routing selection, link capacity allocation, and power consumption are all taken account to yield an optimal scheme based on the Lagrangian optimizati...
Conference Paper
Phase-mode transformation (PMT) is a commonly used technique to convert a uniform circular array (UCA) into a virtual uniform linear array (ULA). This method restores the Vandemonde structure of the steering vector and makes it easy to apply many existing beamforming algorithms to UCA. One such method is the famous Minimum Variance Distortionless R...
Conference Paper
Energy Internet is a kind of novel interconnected multi-energy-grids, highly coupled with the information internet. Aiming at the problems of resource saving and environment protection, a multi-objective optimization strategy in primary energies of the Energy Internet considering economic and environmental aspects has been proposed. An optimization...
Article
Recently, the construction of intrinsic graph using sparse representation (SR) has attracted considerable interest. Comparing with the traditional construction methods like k-NN and ε-ball which can well preserve the manifold structure of samples, SR method is more robust to data noise and parameter-free. To exploit the merits of robustness of spar...
Article
Objective: single-camera-based gait monitoring is unobtrusive, inexpensive, and easy-to-use to monitor daily gait of seniors in their homes. However, most studies require subjects to walk perpendicularly to camera's optical axis or along some specified routes, which limits its application in elderly home monitoring. To build unconstrained monitorin...
Article
Maximum likelihood detection (MLD) algorithm provided the best bit error rate (BER) performance for MIMO communication system. Calculating complexity of MLD increased exponentially with the constellation size and the transmit antenna number which prohibited it to use in practical system. QR decomposition with an M-algorithm (QRD-M) kept M reliable...
Article
Full-text available
We provide a joint scheme for rate control, scheduling, routing, and power control protocol for wireless sensor networks based on compressive sensing. Using a network utility maximization formulation, we present cross-layer optimization solutions using Lagrangian multipliers in the transport, network, media access control, and physical layers. Insp...
Article
Full-text available
Data transmission has attracted widely concerning from worldwide researchers in wireless sensor networks. Jointly considered compressive sensing and matrix completion, a novel cross-layer optimal data transmission algorithm by maximizing utility function is proposed, which develops the stability control signal and valid link capacity. Original sign...
Conference Paper
Due to the fossil-fuel crisis and environment pollution, wind power and electric vehicle are anticipated to play a significant role in the future society. When the amount of wind power and electric vehicles (EVs) increase, it is essential to consider their impacts on power system operations and scheduling generator units. Hence, a multi-objective s...