Research

My broad research aims are:

  • Explore the most cost-effective means of serving the load within reliability and power quality criteria. In order to accurately assess the cost of a given project, the feeder losses must be calculated. I will attempt to quantify the improvement in accuracy planning project requires so that planning engineers could decide among options.
  • Investigate effect due to the addition of Plug-in Hybrid Vehicles (PHEV), renewable technologies and Distributed Energy Resource (DER) generation for future years in Turkish electric grid.
  • Investigate Impacts of harmonics from multiple sources, especially Distributed Energy Resources, on distribution networks.
  • Redesign Turkish electrical grid to be able to provide efficient, reliable and cost-effective power system grid for Turkish utilities to use.
  • Update control device organization and settings to be able to create optimum feeders and make our existing grid to be able to monitor, control and update setting automatically.

Interests

  • Smart Grid Implementation and its Economy
  • Storm Restoration
  • Coordinated Control, Conversation Voltage Reduction (CVR)
  • System Reconfiguration and Capital Deferral
  • Time-Varying Phase Balancing and Capacitor Design
  • Distributed Series Reactance (DSR)

Co-operation faculty

Robert Broadwater

Robert Broadwater

Proffessor at Virginia Tech

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Great Co-Operation!

I have been working with Electrical Distribution Design (EDD) and Brookhaven National Lab (BNL) for Cost- Benefit Analysis (CBA) of Smart Grid.

Research Projects

  • Cost Benefit Evaluation of Smart Grid Technology

    Cost Benefit Evaluation of Smart Grid Technology

    This project is sponsored by Brookhaven National Laboratory and Electric Power Research Institutes (BNL and EPRI)

    – Build up the Cost function for power system analysis package

    – Write the series of application that shows smart grid implementation will be more efficient, reliable and cost effective.

    – Build up power distribution system and make it ready for smart grid implementation (two projects designed for that: Phase Balanced and Capacitor Design)

    – Designed optimal smart grid by using automated switches and SCADA design

    – Build up the smart grid to provide to defer big investment on distribution substation and system compared with existing system for justifications.

    – Build up the smart grid to provide to faster restoration on distribution substation and system compared with existing system for justifications.

    -Build up the smart grid to provide more efficient distribution system and also reduced energy delivered to system compared with existing system for justifications.

  • 3D-Mgrid ERANETMED (3 years project August 2016-August 2019)

    3D-Mgrid ERANETMED (3 years project August 2016-August 2019)

    Design, Development and Demonstration of a future-proof active smart Micro-grid system

    The project will facilitate the design, development and demonstration of a future-proof active smart micro-grid system to integrate and optimise multiple small to medium sized energy sources and loads. The overarching objective is to capitalise on the availability of local and large renewable energy resources and adapting them for solutions to sustainability in terms of electric power demand and supply. A demo smart micro-grid system will be built integrating all energy components, in an effort to (i) maximise renewable energy utilisation, (ii) reduce the carbon footprint by minimising consumption, (iii) improve the power quality while ensuring
    economic feasibility, and (iv) replicate similar setups to institutions and commercial and rural sites.
    3D-Mgrid shall undertake a detailed campus assessment of existing energy scenarios, including: energy consumption; diesel consumption and generation efficiency; loads and their classification; consumption patterns such as human presence and behaviour; power quality with respect to grid power, switching between various distributed power sources, and techno-commercial assessment. 3D-Mgrid will also assess other studies related to the establishment and justification of a smart micro-grid while utilising various equipment, sensors, meters, hardware, and software for measuring, monitoring and analysing the required data to undertake the study. Different power saving strategies will be envisaged, including load/demand forecasting; renewable energy generation forecasting, integration with weather sensors; utility grid’s power outage pattern identification; prioritizing loads and exercising the option of demand response; identifying the appropriate distributed generator to turn-on; and exercising the option of storage technology utilization of appropriate size. It is expected that the 3D-Mgrid will provide distinct benefits like energy savings, frequency support, and demand side management.

  • Feeder Performance Application

    Feeder Performance Application

    It is sponsored by Orange and Rockland Utility (ORU)

    – Develop an interface to be able to connect webpage to get cost data online (Cost data is updated each 5 minutes, so connection webpage and get updated cost function is the most effective and accurate way)

    – Created a tool for power system planning engineer to be able to figure out whether their system cost effective and efficient.

    – Created an interface to connect feeder performance application with Phase balancing and Capacitor Design application to help planning engineer for optimal phase moves and switching actions.