PNNL Q1 NASA Project Report-4-2017 (1).pdf - Q1 Report NASA Distribution System Modeling April 2017 Yinyin Ge and Kenneth A Loparo Electrical

PNNL Q1 NASA Project Report-4-2017 (1).pdf - Q1 Report NASA...

This preview shows page 1 - 4 out of 20 pages.

Q1 Report: NASA Distribution System Modeling April 2017 Yinyin Ge and Kenneth A. Loparo Electrical Engineering and Computer Science Case Western Reserve University
Background image
Contents 1.Project Introduction and Deliverables ..............................................................................32.Accomplishments .............................................................................................................42.1Brief Comparison on Distribution System Analysis Simulation Tools ........................42.1.1Features of Distribution System Analysis Tools ...................................................42.1.2Simulation Tools Comparison ...............................................................................52.1.3Conclusions ...........................................................................................................72.2Gridlab-D Sub-Second Simulation ...............................................................................72.2.1Gridlab-D Sub-Second/Delta-mode Simulation Feature.......................................72.2.2Sub-Second Time Series Power Flow Simulation ................................................72.2.3Sub-Second Dynamic Simulation for Stable Systems ........................................102.2.4Sub-Second Dynamic Simulation for Unstable Systems ....................................152.3Gridlab-D and MATLAB Co-simulation ...................................................................152.4Gridlab-D Data Format Conversion ...........................................................................193.Summary ........................................................................................................................19References ................................................................................................................................19
Background image
1.Project Introduction and Deliverables The objective of the NASA modeling and experimental project is to determine how buildings can contribute to distribution system recovery from disturbances. Renewables and other dynamics can impact the operation of the distribution system in ways that can affect other customers on the system. The NASA project plan includes computational modeling, simulation development and experiments in Year 1, followed by experiments on the NASA Distribution System in Years 2 and 3 to investigate how flexible building loads can be used as initial complementary contributions to manage the impact of perturbations from uncontrollable power injections on distribution system operations. For example, behind-the-meter customer assets responding to regulation signals (e.g. frequency or other ancillary services) in a transactive framework can dramatically affect the distribution system with potentially adverse impacts on voltage, power quality, and customer Quality of Service (QoS). The Year 1 effort is directed at using available modeling/simulation tools (e.g. GridLab-D) to develop a model of the NASA distribution system, validate the model using available measurement data, integrate PV and other renewable resources into the model and then use this this model to investigate various scenarios through simulations that can be used to (1) develop a deep understanding of the impacts of uncontrollable power injections on distribution system operations, such as PV and other renewables and DER, (2) determine to what extent the management of transactive building energy systems can assist in managing the impacts through real-time control and coordination of facilities and equipment, and (3) simulate an integrated control system that includes both reactive and transactive strategies that coordinates the building dynamic response to a composition of transactive signals, operating on both fast and slow time scales, with distribution system controls. Analysis of the simulations results will identify building reactive/transactive contributions and capabilities to participate in the mitigation of disturbances in dynamic management of the distribution system. This analysis will be used to
Background image
Image of page 4

You've reached the end of your free preview.

Want to read all 20 pages?

  • Left Quote Icon

    Student Picture

  • Left Quote Icon

    Student Picture

  • Left Quote Icon

    Student Picture