Accurate Assessment of Potential DG Benefits

Clients: U.S. Dept of Energy (DOE), Principal Client and DTE Technologies

Project objective:

To determine limits of Distributed Generation capacity that can be successfully connected to typical distribution feeders owned and operated by U.S. utilities, in support of development of IEEE Standard 1547 (Interconnection Standard for DG)

Scope of work:

Conduct a quantitative assessment of the impacts of connecting Distributed Generation to distribution lines. Determine the limits to penetration of DG (various technologies) on system representative feeders in Michigan (USA), without unduly impacting permissible standards for voltage regulation and harmonics. Demonstrate how interconnection of DG may be beneficial, or disruptive, to power system operations and for nearby feeder loads.

Work performed:

Comprehensive system models were developed to undertake voltage regulation, power quality and stability studies. Detailed harmonic studies were carried out using the Electro Magnetic Transients Program (EMTP). Stability studies were completed using PTI’s PSS/E software, and load flow studies were performed using MATLAB library of mathematical functions.

The impacts of large penetrations of various DG technologies such as fuel-cells, microturbines, solar power, small wind-turbines and synchronous machines were evaluated. An overall assessment of all relevant issues that involved interaction between the DG and normal power system operations was provided.

Results and client benefits:

The project clearly demonstrated that significant levels of Distributed Generation can be accommodated on existing feeders without impacting service quality or reliability. It further determined that when the interface is correctly designed, Distributed Generation can enhance service quality and reliability. However, if not properly designed, connection of distributed generation can interfere with utility operations. Therefore the challenge remains to implement robust and economic control schemes that optimize system performance.

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