Zhifang Wang, Ph.D.
Associate Professor, Department of Electrical and Computer Engineering VCU College of Engineering
- Engineering West Hall, Room 208, Richmond VA
Dr. Zhifang Wang specializes in electric power grid vulnerability analysis, synthetic grid modeling, and renewable integration.
Media
Links
Social
Biography
Industry Expertise
Areas of Expertise
Accomplishments
HICSS'48 Best Paper Award 2015
2017-05-23
For the paper entitled "On Bus Type Assignments in Random Topology Power Grid Models", coauthored with Dr. Robert J. Thomas.
IEEE Donald G. Fink Award 2013
2013-02-20
For the paper entitled "For the Grid and Through the Grid: the Role of Power Line Communications in the Smart Grid," coauthored by Dr. Stefano Galli and Dr. Anna Scaglione.
IEEE Senior Member
2012-02-18
In recognition of professional standing. Awarded by the Officers and Board of Directors of the IEEE.
Education
Cornell University
Ph.D.
Electrical and Computer Engineering
2005
Tsinghua University, Beijing,
M.S.
Electrical Engineering
1998
Tsinghua University, Beijing,
B.S.
Electrical Engineering
1995
Affiliations
- Assistant Professor, Electrical and Computer Engineering, VCU
- Director, EPES Lab, Electrical and Computer Engineering, VCU
Research Grants
Synthetic Data For Power Grid R&D, June 2016 - June 2018
DoE ARPA-e
2016-06-30
The University of Illinois at Urbana-Champaign, with partners from Cornell University, Virginia Commonwealth University, and Arizona State University will develop 10 open-source and synthetic transmission system models and associated scenarios that match the complexity of power grids. By utilizing statistics derived from real data, the team’s models will have coordinates based on North American geography with network structure, characteristics, and consumer demand that mimics real grid profiles. Much of the developed software will be open source and available on the MATPOWER software suite as well as the GRID DATA repository.
Courses
EGRE 444 Communication Systems
The course covers the fundamental principles behind digital communications. The emphasis will be on the physical layer (i.e. digital transceiver design issues). The students are expected to gain a thorough understanding of digital communication systems, pulse modulation, digital modulation, detection and estimation for digital communications, information theory, as well as error control coding.
EGRE 336 Intro to Communication Systems
Introduction to the theory and application of analog and digital communications including signal analysis, baseband transmission, amplitude and angle modulation, noise model and effect, and design considerations.
EGRE 573 Sustainable and Efficient Power Systems
The course covers distributed power generation system and renewable energy technologies. It develops models and tools for investigating electric power generation and efficiency analysis, the wind and solar power, energy storage, renewable integration and environmental impacts.
EGRE 671 Power System Operation and Controls
This graduate level course covers the fundamental concepts of economic operation and controls of power systems, including real and reactive power balance, optimized generation dispatch, steady state an dynamic analysis, real-time monitoring and controls, and contingency analysis.
EGRE 471 Power System Analysis
Offered in spring semester. The course provides students with a comprehensive overview of electrical power system operation and design. It will develop models and tools for investigating system behavior, and provide opportunities for using the tools in design process.
Selected Articles
On Bus Type Assignments in Random Topology Power Grid Models
HICSS’48, Kauai, HI, Jan 2015.Z. Wang, R. J. Thomas
This paper examined the correlation between the three bus types of G/L/C and some network topology metrics such as node degree distribution and clustering coefficient. We also investigated the impacts of different bus type assignments on the grid vulnerability to cascading failures using IEEE 300 bus system as an example. We found that (a) the node degree distribution and clustering characteristic are different for different type of buses (G/L/C) in a realistic grid, (b) the changes in bus type assignment in a grid may cause big differences in system dynamics, and (c) the random assignment of bus types in a random topology power grid model should be improved by using a more accurate assignment which is consistent with that of realistic grids.
Optimized Solar Photovoltaic Generation in a Real Local Distribution Network
IEEE PES 2017 Innovative Smart Grid Technologies (ISGT2017) Conference, Arlington, VA USA, Apr 23-26, 2017.*H. Sadeghian, *M. H. Athari, Z. Wang
This paper builds a simulation model for the local distribution network based on obtained load profiles, GIS information, solar insolation, feeder and voltage settings, and define the optimization problem of solar PVDG installation to determine the optimal siting and sizing for different penetration levels with different objective functions. The objective functions include voltage profile improvement and energy loss minimization and the considered constraints include the physical distribution network constraints (AC power flow), the PV capacity constraint, and the voltage and reverse power flow constraints.
A Multi-objective Optimization Algorithm for Bus Type Assignments in Random Topology Power Grid Model
HICSS'49, Kauaui, HI, USA, Jan 2016.*S. H. Elyas, Z. Wang,
With the help of Bus Type Entropy, a novel measure which provides a quantitative means to better represent the correlation of bus type assignments in a grid topology, we propose a multi-objective optimization algorithm for the bus type assignments in the random topology power grid modeling. The proposed search algorithm is able to locate the best set of bus type assignments for a given random "electrical" topology generated by RT-nested-smallworld.
Studying Cascading Overload Failures under High Penetration of Wind Generation
2017 IEEE PES General Meeting, Chicago, IL, USA, July 16-20, 2017. Accepted, to appear.*M. H. Athari, Z. Wang
In this study, the impacts of wind generation in terms of its penetration and uncertainty levels on grid vulnerability to cascading overload failures are studied. The simulation results on IEEE 300 bus system show that uncertainty coming from wind energy have severe impact on grid vulnerability to cascading overload failures. Results also suggest that higher penetration levels of wind energy if not managed appropriately will add to this severity due to injection of higher uncertainties into the grid.
Improved Synthetic Power Grid Modeling with Correlated Bus Type Assignments
IEEE Trans on Power Systems, Accepted for publication in Dec 2016, available in IEEE explorer.*Seyyed H. Elyas, Zhifang Wang
This paper presents our study results on the correlated assignment of generation, load, or connection buses in a given grid topology and the development of an optimized search algorithm to improve the proposed synthetic grid model, called RT-nestedSmallWorld.
