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Updated 1/28/2011 . Technical Requirements & Regulatory Issues In Interconnection Agreements. March 9, 2011. Jay Caspary [email protected] · 501.614.3220. Wind In The SPP Generation Queue. Annual Average Wind Speed - 80 meters. 4. Wind In Service. Generation Interconnection Requests.

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Updated 1/28/2011

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Updated 1 28 2011

Updated 1/28/2011


Technical requirements regulatory issues in interconnection agreements

Technical Requirements & Regulatory Issues In Interconnection Agreements

March 9, 2011

Jay [email protected] · 501.614.3220


Updated 1 28 2011

Wind In The SPP Generation Queue


Updated 1 28 2011

Annual Average Wind Speed - 80 meters

4


Updated 1 28 2011

Wind In Service


Generation interconnection requests

Generation Interconnection Requests


Updated 1 28 2011

Interconnection Study Measures

  • Cluster Studies

    • Intended to study multiple requests simultaneously and allocate costs of network upgrades that are beneficial to the group.

    • All interconnection requests in each queue that are received in a 180 day open season period are studied together.

    • Allows for all interconnection requests in the queue to commence study process within six months and greatly lessens the queue backlog burden


Updated 1 28 2011

Interconnection Study Measures

  • Cluster Studies (continued)

    • A set of upgrades that is necessary for the interconnection of the entire cluster of interconnection requests is determined.

    • The upgrade set’s costs are shared by the entire cluster of interconnection request based on a MW usage basis of each interconnection request.

    • Upgrades that are required for the interconnection of the cluster (i.e. shared upgrades) cannot be suspended.


Updated 1 28 2011

Low Voltage Ride Through (LVRT)

  • Governed by FERC Order #661 and #661A

  • Comparable requirements for wind generation and thermal based generation.

  • All wind generators are required to be able stay on line and in service for a 3 phase fault at the Point of Interconnection of normal duration and normal clearing time of the fault.

  • Wind generators must be able to comply either through enhanced ride through capabilities from the equipment manufacturers; or must install a dynamic reactive compensation device to help keep the wind farm on line and in service


Updated 1 28 2011

Reactive Power Requirements

  • Governed by FERC Order #661 and #661A

  • If demonstrated in the interconnection study, wind generation plants shall be capable of providing 95% lagging (providing vars) and 95% leading (absorbing vars) power factor at the point of interconnection.

  • Requires wind generation plant to account for any losses in their distribution collector system, substation transformers, and any transmission line they operate.

  • The requirement applies to wind generation plant at 100% nameplate generation. Does not apply to lower values of generation.


Updated 1 28 2011

SCADA Requirements

  • Governed by FERC Order #661 and #661A

  • Wind generation plants required to have SCADA systems

  • Order #661A allows for mutual agreement between the Transmission Owner/Operator and Generation Owner/Operator to decide the requirements


Updated 1 28 2011

Interconnection Study Measures

  • Wind generator developers provide collector system for wind turbines

  • Wind generator developers provide transformer and transmission information

  • Wind generator developers provide a PSS/E dynamic model for the wind generator turbines they are proposing to install.

  • Dynamic Stability Analysis performed using these models

  • LVRT analysis also performed using these models.


Concluding remarks

Concluding Remarks

  • Renewables are generally not dispatchable, but can be and may need to be managed. Regardless, accurate models and forecasts are critical to optimize integration and deliveries

    • Significant efforts underway to create and validate appropriate models without sharing proprietary and commercially sensitive details

    • FERC is proposing that renewable developers need to share real time data to improve forecasting and better manage reliability margins


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