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Integrated Planning of Transmission and Distribution Systems

Integrated Planning of Transmission and Distribution Systems. Jason Fuller Pacific Northwest National Laboratory 2015 IEEE PES General Meeting. Overview. Why do we care about integrated T&D solutions? Different approaches to T&D Introduction to co-simulation Simple examples What’s next?.

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Integrated Planning of Transmission and Distribution Systems

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  1. Integrated Planning of Transmission and Distribution Systems Jason Fuller Pacific Northwest National Laboratory 2015 IEEE PES General Meeting

  2. Overview • Why do we care about integrated T&D solutions? • Different approaches to T&D • Introduction to co-simulation • Simple examples • What’s next?

  3. Why is integrated T&D important? • The interaction between T&D systems is becoming greater as distributed energy resources proliferate • Distribution system elements need to be more explicitly represented within transmission simulators to understand their impact and sensitivities on operations and control • Disturbances on the transmission system, and their potential impact on DER operations, must also be evaluated • Planning tools that can capture the co-evolution of an integrated system will be of importance

  4. Why is integrated T&D important? • Separate tools are used for simulating transmission & distribution • These tools treat the other system as boundary conditions • Transmission simulators assume loads are lumped and use aggregation • Distribution simulators assume a infinite voltage source at the point of connection • Deficiencies in these simulators has been recognized and there are efforts to improve them (e.g., composite load models)

  5. Different approaches for addressing T&D integration Minimal Investment Greater Investment Reduced Accuracy Increased Accuracy Greater Validation of Tools & Models Minimal Validation of Tools & Models Speed to solution ??

  6. Scalability and Co-Simulation • Co-simulation allows for expansion of capabilities with minimal investment • Allows for re-use of existing software AND models • Enables multi-scale modeling & simulation • FNCS is a framework for coordinating simulators across multiple domains • Framework for Network Co-Simulation (FNCS – pronounced “Phoenix”) • Developed for HPC applications across multiple platforms Transmission (GridPACK) Transmission (PST) Wholesale Markets (MATPOWER) Transmission (Opal-RT) FNCS Connected Communications (ns-3) In Development Future External Tools Distribution (GridLAB-D) Retail Markets (GridLAB-D) PNNL Tools Buildings (EnergyPlus)

  7. How does it work: A T&D example January 1, 2020 7

  8. Intended uses of FNCS • Distribution and Communications • Sensor data and control (VVO, inverters, reconfiguration, etc.) • Demand response and retail markets • Transmission and Communications • Wide Area Control (and Protection) • Phasor Measurement Unit data collection and control • Communication pathways and redundancy • Transmission, Distribution and Communications • Transactive energy/ancillary markets (with distributed resources) • Trade-offs of distributed versus centralized controls • Hierarchical controls / reconfiguration during communication loss • Impacts of DER operations on transmission systems

  9. Example: Evaluate potential DSO functions which integrate T&D Bulk Energy Services Some DSO roles: • Ensure safe and reliable power in the presence of variable generation • Coordinate DERs (at scale) for efficient participation in bulk energy and ancillary service markets • Manage local system constraints to reduce upgrade costs • Cooperation with bulk entities in mngt. plans for large-scale system failures • *Facilitate effective and efficient retail “markets” DSO Distributed Energy Resources Adapted from a presentation by Paul De Martini & Heather Sanders

  10. Real-Time Procurement Scenario • Optimal coordination of DERs with transmission-level resources (e.g., reduce costs) • The power consumption at the feeder is determined based on wholesale energy price (LMP) Example case studies: • Wholesale price spike & impact on distribution system • Feeder capacity constraints & impact on LMPs

  11. Real-Time Procurement:Capacity Constraints

  12. Example: Wide Area Control with DERs • Optimal coordination of DERs with transmission-level resources (e.g., least cost) • The power consumption at the feeder is determined based on wholesale energy price (LMP) Example case studies: • Generator failure with load as a resource • Line failure (and subsequent overload) with DERs reducing demand

  13. Simple example of a line failure Pline

  14. What’s next? • Integrated T&D dynamics (in collaboration Argonne Nat’l Lab) • Impact/function of DERs on system disturbances • Optimize co-simulation for dynamic models • Integrate/develop parallelization of dynamic solvers (for each of the sub-components) • Compare and contrast co-simulation versus fully integrated models • Validation, validation, validation!

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