Energy Systems Research Center


ESRC Associates Current & Ongoing Research Projects and Topics

  • Automatic system restoration
  • AC/DC electric arc flashes detection and protection.
  • Dynamic equivalent modeling for the wind farm
  • Wind power and sub-synchronous oscillations
  • Stability study, Electro-Magnetic Transient (EMT) modelling and simulations of switching over-voltage (SOV), temporary over-voltage (TOV), harmonic, and sub-synchronous interaction (SSI).
  • Demand Response, electricity market and smart-grid big data.
  • Design and Study of an Intelligently Controlled Power System Deploying AC and DC Power Sources and Transiently Operated AC and DC Loads
  • Multifaceted Study of Electrochemical Energy Storage Systems for Powering Future Shipboard Transient Electrical Loads
  • Ultra-High Thermally Conductive, Dielectric, Conformable Thermal Interface Materials for Energy Storage & Power Systems Thermal Management
  • Improved Thermal Sensing of Distributed Electrical Generation Sources
  • Energy Storage Enclosure Technologies for High Density Devices
  • Experimental Validation of Lithium-Ion Batteries at High Rate for Directed Energy Applications
  • Characterization of a 20 kW PEM Fuel Cell for Pulsed Power Applications
  • Installation of a 150 kW Medium Voltage AC/DC Testbed for Simulation and Modeling of Distributed Generation Shipboard Electrical Power Systems
  • Universal Non-Intrusive Battery Monitoring and Failure Prediction System
  • Electrochemical Prime Power Supply for a Repetitively Operated High Power Marx Generator
  • Experimental Characterization of Competitive Ultra-capacitor Technologies

Recent Research Completed by ESRC Associates in Conjunction with Doctorial and Master Degrees

Dynamic Equivalent Modeling of the Wind Farm

With the high penetration level of wind generation, it’s critical to establish a robust dynamic equivalent model (DEM) of the wind farm for system stability analysis and smart grid development. In this paper, a detailed wind farm model is built according to Western Electricity Coordinating Council (WECC) generic wind turbine generator models. The measurement data from phasor measurement unit (PMU) is used to describe dynamic behavior of wind farm during the system disturbance. A multistage hierarchical parameters identification process based on heuristic algorithms is proposed to develop a dynamic equivalent model for the wind farm with different types of wind turbines. The robustness of proposed equivalent model is then analyzed. In addition, the modal analysis is performed to further validate the proposed approach by comparing the eigenvalues between the detailed model and equivalent model.

Automation System Restoration

The main purpose of an electric power system is to efficiently generate, transmit and distribute electric energy. The operations involved dictate geographically dispersed and functionally complex monitoring and complex systems. Operators in control center requires many steps to restore the system after-blackout. My thesis helps the operators to automatically restore the system after blackout.

Demand response, Electricity Market and Smart-Grid Big Data

As an effective tool to improve reliability, stability, and financial efficiency of the power grids, Demand response (DR) has brought numerous financial and technical benefits to power systems. As one of the price-based DR programs with less control costs, the Time-of-Use (TOU) program has been applied as default rates by many utility companies. To avoid financial risks and make the most profit out of the wholesale market, utility companies treat TOU as an effective marketing strategy to change customers’ electricity consumption patterns. However, due to the complexity of human behaviors and disparities of residential locations, many of the existing TOU programs are not as effective as expected. The purpose of this research is to examine the key reasons underlying the ineffectiveness of most extant TOU programs, and to demonstrate that zero pricing can be a remedy, due to its unique properties in enhancing consumers’ responsiveness to TOU programs. Actual utility usage data from residential consumers in both Shanghai (China) and Texas (USA) are used to support our propositions. Properly implementing zero pricing into TOU programs with scientific strategy has the potential to bring considerable profit for utility companies.

AC/DC Electric Arc Flashes Detection and Protection

Unlike short circuit faults in power systems, arcing faults produce intense light during the events. Light sensing technology has been developed as a part of arc faults detection since 1980’s. Currently, optical fiber and point sensors are 2 types of light sensors which have been applied along with the simultaneous over-current mechanism for arc flash relays. Due to the characteristics of light sensors, sensitivity and reliability of the relay may be affected by the ambient light. This paper proposes a new approach for arc flash fault detection by using the spectrum of the light. Electromagnetic radiation means different element would emit spectra with unique wavelengths when their atoms are excited. Therefore, elements can be identified if specific emission spectrum is detected during the excitation period. In general, Copper and Aluminum are commonly used for conductors. By examining the spectrum of the light, arc flash can be accurately and quickly detected. In the experiment of this study, copper and aluminum are applied as conductors. The light spectrum for both materials is measured and recorded by an optic spectrometer during the arcing incidents. The results show that accuracy and reliability of the light-based arc flash fault detection operation can be improved by using the proposed method.

Energy Systems Research Center

The ESRC’s vision is to provide global leadership that produces and enhances knowledge leading to a better understanding of global problems and local impacts in the design and operation of electric power systems.

Mo-Shing Chen Scholarship

Dr. Chen founded the Energy Systems Research Center (ESRC) in 1968, the first research center on the UTA campus.

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