Project Directory

The primary objectives of this proposal were to (1) evaluate the effects of different types of storage on annual system costs and performance, (2) evaluate the effects of ramping on annual system costs and performance, (3) develop appropriate rate structures and incentives to promote distributed resource participation in coordinated aggregation schemes, (4) develop distributed resource models and control algorithms that accurately capture the aggregate demand-side flexibility as managed by an aggregator, (5) determine the system value of offering demand-side flexibility into a wholesale mar

This project was designed to continue the coordinated program in the theory, design and testing of multidimensional markets for energy, reserves and other ancillary services, and the integration of active demand-side participation to form self-regulating markets.  New experiments were developed to determine the effects of transfers on native load LMP, voltage profiles and market power.

Industry awareness of FIDVR, though it was not always referred to by this name, dates to technical papers that have appeared in the literature since the 1990s.

This project is conducting optimization-based analyses to examine: (a) new reserve policies for contingency-based reserves and ramping products, which may be needed to compensate for resource uncertainty; (b) the possible creation of dynamic zonal reserve policies; and (c) the creation of response-set reserve policies that specify a set of generators (or resources providing reserves) that will respond given a specific event—while taking into consideration network limitations.

In FY14, DOE initiated a scoping study to identify potential uses and benefits of installing phasor measurement units (PMUs) within electricity distribution systems and the associated research and development that is required to realize these benefits.

This project is demonstrating full-scale, on-line and off-line software prototype tools with Entergy, WECC, and Peak RC that detect and analyze system oscillations from either ambient or disturbed system PMU measurements. In contrast to other tools, these prototypes are capable of simultaneously processing hundreds of PMU measurements-rather than only a handful. Therefore, they can estimate oscillation characteristics such as the frequency, damping ratio, energy and mode shape of both local and inter-area oscillations across the wide-area power system.

The objective of this effort was to adapt the existing Pserc software platform (PowerWeb) so that it can be used effectively to test alternative ways of providing reactive power (primarily dynamic VArs) in a deregulated market.

This project is developing a new approach for conditioning and validating synchrophasor data for real-time applications with the aim of providing experience-based recommendations for making the synchrophasor infrastructure more robust. Demonstration of a prototype is currently underway in partnership with Dominion Virginia Power.

A curated power grid data repository (PGDR) will provide researchers and developers with access to fully-curated data sets with known data quality handled in an automated process using well-tested and well-documented algorithms. Such a data repository will make power system information as provided by participating Utilities available to a broad research community to enable future power systems research. This project is working to develop the requirements and initial specifications of a PGDR and provide some prototyping of the capability.  

This project was designed to extend previous analyses of the theory, design and testing of multi-dimensional markets to the special problems of coordinating and planning for the efficient transfer of power across control areas in ways that preserve or enhance within control area reliability (seams issues).

The April 2011 DOE workshop Computational Needs for the Next Generation Electric Grid was the culmination of a year‐long process to bring together some of the Nation’s leading researchers and experts to identify computational challenges associated with the operation and planning of the electric power system. The presented papers from the workshop are collected in the published proceedings.

The objective of the SuperOPF project is to develop a framework that will provide proper allocation and valuation of resources through true co-optimization across multiple scenarios. Instead of solving a sequence of simpler and approximate sub-problems, the SuperOPF approach combines as much as possible into a single mathematical programming framework with a full AC network and simultaneous co-optimization across multiple scenarios with stochastic costs.