Research

During my six years at MAPNA as well as the education period, I was involved in different practical and academic projects as follows:

  • False Data and Threat Detection Methods for Power Systems Under Cyber Attacks Based On Big Data and Deep Learning Algorithms
  • Development of a Dedicated Software for Ameren Electric Company
  • Power System Simulator and Emulator (PSE) – Real-Time Systems
  • SCADA, RTU Upgrading, Protocol Converter
  • Network Studies for Power Plant including Load Flow, Short Circuit, Motor Starting, Dynamic Stability, Load Shedding/Sharing and … Using DigSILENT Software

As a member of the Research and Development team, at the forefront of practical responsibilities, I was appointed as the leader of a real-time project using LabVIEW in which power system equipment was simulated in MATLAB and then connected to LabVIEW. Moreover, I wrote three books and two book chapters related to my work. In addition, as a member of a team, we published a patent for the company, which was used in power plants as a simulator system.

During my Ph.D., I developed a dedicated power system software for Ameren Electric Company. Currently, I am working on false data detection methods using machine/deep learning algorithms.

– You may see the details of these projects as follows:

Interests

  • Machine Learning Applications in Power System
  • Power System Operation and Control
  • Real Time Systems
  • Distributed Generation and Renewable Energy Resources
  • FACTS Devices
  • Network Study, Dynamic Stability Analysis
  • SCADA, RTU, EMS

Research Projects

  • False Data and Threat Detection Methods for Power Systems Under Cyber Attacks Based On Big Data and Deep Learning Algorithms

    Please Click Here to See More Details!

  • Development of a Dedicated Software for Ameren Electric Company

    Please Click Here to See More Details!

    This project is a computer program developed for AMEREN Electric Company (St. Louis, MO). It demonstrates the effective use of advanced computational genetic techniques for the optimum placement of large scale PV arrays on the distribution grid. The program also reflects the impact of PV arrays on the distribution system and their effectiveness in reducing system losses and maintaining a reasonable voltage profile. The concept of voltage stability index is introduced. The program also demonstrates the use of a battery bank combined with a PV array for achieving output smoothing. Moreover, machine learning and deep learning algorithms are employed to forecast future load consumption.

     

    This program is developed by MATLAB software, and GUI is employed to produce the final software. it includes the following parts:

    • Creating Network Matrices
    • Network Reduction
    • Load Flow Calculation
    • Battery Calculation
    • Reactive Power Optimization
    • Sitting and Sizing of PV by Genetic Algorithm
    • Annual Load Flow (8760)
    • Load forecasting by machine/deep learning algorithms

    Fig. 1. Some Snapshots of the developed Software

    Fig. 2. Processing Data and Network Reduction

    Fig. 3. Calculation of Load Flow, Optimization, Voltage Profile, and etc.

    Fig. 4. Log Files

    Fig. 4. PV/Load/Voltage Profiles

  • Power System Simulator and Emulator (PSE) - Real Time Systems

    Please Click Here to See More Details!

    Hardware-in-the-loop (HIL) simulation is a technique that is being used increasingly in the development and test of complex systems. Real-world testing of an intricate system in a field like power plant can be challenging, time-consuming, expensive, and hazardous. HIL emulators allow engineers to test devices thoroughly and efficiently in a virtual environment with high reliability and minimum risk of the defect. In this research, the complete electric power system (including generator, turbine governor, excitation system, transmission lines, transformer, external grid, and related loads) is implemented in MATLAB/Simulink environment. Different virtual instrument (VI) pages are modeled in the graphical programming language of LabVIEW, which enables fast and reliable measurement functions such as data acquisition, archiving, real-time graphical display, and processing. The interaction between MATLAB and LabVIEW is accomplished by generating a Pharlap ETS Targets *.dll file, which enables the two software to exchange real-time data. Also, a real 1518 kW excitation system is considered as a test
    case for the introduced HIL system. This equipment is connected to LabVIEW software through a National Instrument PXI technology. Different scenarios (electrical frequency/active power change, voltage step response, and etc.) are simulated in the designed Power System Emulator (PSE). The validity of the implemented model for the excitation system is verified by finding good matching between MATLAB and HIL simulation results.

    Fig. 1. Overall scheme of the power system/ Dedicated program for analog cards in LabVIEW

    Fig. 2. Hardware setup for HIL simulation of the excitation system and related
    I/O connections

    Fig. 3. Designed HMI System for Project/ Final Set-up

  • SCADA, RTU Upgrading, Protocol Convertor

    Please Click Here to See More Details!

    This project consists of different parts such as SCADA Systems and RTU, SCADA Hardware, SCADA Monitoring and Command Signals, Communication with RTU via Web Server, Implementation and Monitoring of Network by HMI Editor, SCADA Systems Protocols, RTUtil560 and its Applications.

    Based on all of the abovementioned topics, we developed a SCADA (hardware, software) and HMI systems to send all of the signals in a typical substation or microgrid to the control center. Then we may monitor and control these signals.

     

    Fig.1. RTU and SCADA hardware/software           Fig.2.  RTUtil 560

    Fig.3.  SCADA Protocols                                 Fig.4.  Web Server in SCADA

    Fig.5.  HMI                                                        Fig.6.  SCADA Alarm List

  • Network Studies for Power Plant including Load Flow, Short Circuit, Motor Starting, Dynamic Stability, Load Shedding/Sharing and … Using DigSILENT Software

    Please Click Here to See More Details!

    In this research, different power system analysis (e.g., Load Flow, Short Circuit, Motor Starting, Dynamic Stability, Load Shedding/Sharing, etc.) are investigated using DigSILENT software. This project is performed for two real power plants in Iran. The results of this simulation are utilized to design Power Management System (PMS). PMS is a kind of SPS which is usually implemented in industrial power plants to intelligently manage remote devices and perform necessary actions against system contingency, especially in islanding condition. PMS has significant functions such as load shedding/sharing, generation shedding, generation mode control, and import/export control to the control voltage, frequency, and active/reactive power of the system. This project was a joint engineering scheme with SIEMENS company in which PMS configuration impacts on system stability are investigated through detailed dynamic simulations in DIgSILENT PowerFactory software. In these simulations, DIgSILENT programming language (DPL) and DIgSILENT simulation language (DSL) are used to model turbine-governor, excitation systems, and related signals. The configuration of the studied real power plant is shown in the following figures:

    Fig. 1: Configuration of the test system

    Fig. 2: System with/without PMS                 Fig. 3: Block of servo valve controller DSL

    Fig. 4: DPL script                                                    Fig. 5: Sample Results

  • Sitting and Sizing of Distributed Generation and FACTS devices by Optimization Algorithm to Improve Power System Stability and Security.

    Please Click Here to See More Details!