Prof. Md Abdus Salam
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Academic Career Length
13Years (2014-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
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Journal Article
YGYunpeng Guo
Yunpeng GuoWLWeijia Liu
Weijia LiuFWFushuan Wen
Fushuan WenMd Abdus SalamJMJianwei Mao
Jianwei MaoLLLiang Li
Liang LiTo make full use of the flexible charging and discharging capabilities of the growing number of electric vehicles (EVs), a bidding strategy for EV aggregators to participate in a day-ahead electricity energy market is proposed in this work. The proposed bidding strategy is able to reduce the operating cost of the EV aggregators and to handle the uncertainties of day-ahead market prices properly at the same time. Agreements between the EV owners and the aggregators are discussed, and a hierarchical market structure is proposed. While assuming the aggregators as economic rational entities, the bidding strategy is established based on the market prices, extra battery charging/discharging costs and the expected profits. The bidding clearing system will display the current/temporal market clearance results of the day-ahead market before the final clearance, and hence the market participants can revise their bids and mitigate the risks, to some extent, of forecasted market price forecast errors. Numerical results with a modified IEEE 30-bus system have demonstrated the feasibility and effectiveness of the proposed strategy.
Journal Article
CFChangsen Feng
Changsen FengFWFushuan Wen
Fushuan WenLZLijun Zhang
Lijun ZhangCXChenbo Xu
Chenbo XuMd Abdus SalamSYShi You
Shi YouWith the ever-intensive utilization of distributed generators (DGs) and smart devices, distribution networks are evolving from a hierarchal structure to a distributed structure, which imposes significant challenges to network operators in system dispatch. A distributed energy-management method for a networked microgrid (NM) is proposed to coordinate a large number of DGs for maintaining secure and economic operations in the electricity-market environment. A second-order conic programming model is used to formulate the energy-management problem of an NM. Network decomposition was first carried out, and then a distributed solution for the established optimization model through invoking alternating-direction method of multipliers (ADMM). A modified IEEE 33-bus power system was finally utilized to demonstrate the performance of distributed energy management in an NM.
Journal Article
Renewable energy generation and electric vehicles (EVs) have attracted much attention in the past decade due to increasingly serious environmental problems as well as less and less fossil energy reserves. Moreover, the forms of energy utilization are changing with the development of information technology and energy technology. The term “energy hub” has been introduced to represent an entity with the capability of energy production, conversion and storage. A residential quarter energy-hub-optimization model including a concentrating solar power (CSP) unit is proposed in this work, with solar energy and electricity as its inputs to supply thermal and electrical demands, and the operating objective is to minimize the involved operation costs. The optimization model is a mixed integer linear programming (MILP) problem. Demand side management (DSM) is next implemented by modeling shiftable electrical loads such as EVs and washers, as well as flexible thermal loads such as hot water. Finally, the developed optimization model is solved with the commercial CPLEX solver based on the YALMIP/MATLAB toolbox, and sample examples are provided for demonstrating the features of the proposed method.
Journal Article
JHJiahua Hu
Jiahua HuFWFushuan Wen
Fushuan WenKWKe Wang
Ke WangYHYuchun Huang
Yuchun HuangMd Abdus SalamTo cope with the net load variability in real time, sufficient ramp capability from controllable resources is required. To address the issue of insufficient ramp capacity in real time operations, flexible ramping products (FRPs) have been adopted by some Independent System Operators (ISOs) in the USA as a new market design. The inherent variability and uncertainty caused by renewable energy sources (RESs) call for new FRP providers apart from conventional generating units. The so-called interruptible load (IL) has proved to be useful in maintaining the supply-demand balance by providing demand relief and can be a viable FRP provider in practice. Given this background, this work presents a stochastic real-time unit commitment model considering ramp requirement and simultaneous provision of IL for FRP and demand relief. Load serving entities (LSEs) are included in the proposed model and act as mediators between the ISO and multiple ILs. In particular, incentive compatible contracts are designed to encourage customers to reveal their true outage costs. Case studies indicate both the system and LSEs can benefit by employing the proposed method and ILs can gain the highest profits by signing up a favorable contract.
19 January 2018 in Frontiers in Energy
Journal Article
Md Abdus SalamMYM. G. Yazdani
M. G. Yazdani
QRQ. M. Rahman
Q. M. Rahman
DNDk Nurul
Dk Nurul
SMS. F. Mei
S. F. Mei
SHSyeed Hasan
Syeed Hasan
Journal Article
HSHuizhong Song
Huizhong SongMDMing Dong
Ming DongRHRongjie Han
Rongjie HanFWFushuan Wen
Fushuan WenMd Abdus SalamJYJian Ye
Jian Ye +2
When a fault occurs in a section or a component of a given power system, the malfunctioning of protective relays (PRs) and circuit breakers (CBs), and the false and missing alarms, may manifestly complicate the fault diagnosis procedure. It is necessary to develop a methodologically appropriate framework for this application. As a branch of stochastic programming, the well-developed chance-constrained programming approach provides an efficient way to solve programming problems fraught with uncertainties. In this work, a novel fault diagnosis analytic model is developed with the ability of accommodating the malfunctioning of PRs and CBs, as well as the false and/or missing alarms. The genetic algorithm combined with Monte Carlo simulations are then employed to solve the optimization model. The feasibility and efficiency of the developed model and method are verified by a real fault scenario in an actual power system. In addition, it is demonstrated by simulation results that the computation speed of the developed method meets the requirements for the on-line fault diagnosis of actual power systems.
About Me
Md Abdus Salam received his B.Sc. in Electrical and Electronic Engineering from Chittagong University of Engineering and Technology (CUET) in January 1990 and an M.Sc. in Electrical and Electronic Engineering from Bangladesh University of Engineering and Technology (BUET) in February 1994. He also completed his Ph.D. in Electrical Engineering at Universiti Teknologi Malaysia (UTM) in April 2000. Dr. Salam has over 30 years of teaching experience at universities worldwide and has recently served as a faculty member at California Polytechnic State University, San Luis Obispo, California, USA.
He has published eight textbooks, 68 articles in international journals, and 60 papers in international conferences. In addition to his academic work, he has served as a consultant for various private and government agencies. He is a senior member of the Institute of Electrical and Electronics Engineers, USA, and a member of the Institution of Engineering Technology, UK. He is serving as a reviewer of different Journals and conferences including IEEE Transactions on Power Delivery and Reliability, and different ScienceDirect journals. His research interests include Power System Stability Analysis and Control, Transmission Line Insulator Modelling, Renewable Energy, etc. Also, he is working on a research project, “Grounding Study of Lunar Regolith”.
He is currently working as an Associate Professor in the Department of Electrical Engineering at the University of Bridgeport, USA.