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National Electric Transmission Congestion Study - W2agz.com

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3. Development of analytical procedures to aggregate<br />

modeling results into constraint areas for<br />

analysis;<br />

4. Specification of sensitivity studies; and,<br />

5. Collecting and aggregating modeling results to<br />

estimate congestion. 14<br />

Base data<br />

The Eastern Interconnection study used 2008 and<br />

2011 as the base years for evaluation. Input data for<br />

these two study years came from two primary<br />

sources. The majority of input data were taken directly<br />

from CRAI’s proprietary database of Eastern<br />

Interconnection generator production cost characteristics,<br />

transmission ratings, and electricity demands.<br />

This database has been developed over<br />

many years and is itself based on a variety of public<br />

(e.g., annual utility reports to FERC on Form 714)<br />

and private data sources. DOE also directed CRAI<br />

to collect information from transmission planning<br />

and regional/inter-regional reliability studies; in<br />

particular, the NERC Multiregional Modeling<br />

Working Group (MMWG) 2005 series load flow<br />

cases for the summer of 2007 and the summer of<br />

2010 served as input data on the configuration and<br />

capabilities of generation and transmission in the<br />

Eastern Interconnection. In order to resolve particular<br />

questions and resolve any discrepancies between<br />

data sources, DOE directed CRAI to consult with<br />

industry representatives about projects under development<br />

or special cases such as the Cross-Sound<br />

and Neptune high voltage DC cables, which were<br />

added to the MMWG study case as resources for<br />

2011.<br />

GE-MAPS, a <strong>com</strong>mercially available multi-area<br />

production cost simulation tool, was used to study<br />

future congestion in the Eastern Interconnection.<br />

Production cost simulation tools estimate the cost of<br />

serving the electrical load in a given area by calculating<br />

on an hour-by-hour basis the least-cost<br />

dispatch of a fleet of generation units, each with<br />

known fixed and variable costs of production.<br />

Multi-area production cost simulation tools conduct<br />

this least-cost dispatch for more than one area<br />

simultaneously while considering the capability of<br />

transmission lines connecting the areas to support<br />

imports and exports of power to further lower the<br />

overall total cost of production. GE-MAPS assesses<br />

the electrical capability of transmission lines to support<br />

such inter-regional transfers using a technical<br />

approach called decoupled power flow.<br />

Development of nodes<br />

CRAI’s GE-MAPS tool represents the Eastern Interconnection<br />

as having approximately 46,000 distinct<br />

electrical elements (buses). Some of these elements<br />

represent points of load demand, some<br />

represent points where generators interconnect with<br />

the grid, and others represent transformers, phase<br />

shifters, substations and interconnections of transmission<br />

line segments. DOE directed CRAI to aggregate<br />

the load and generation buses in the Eastern<br />

Interconnection into a set of nodes, each of which<br />

represents significant concentrations of loads<br />

and/or generation within electrically and geographically<br />

contiguous areas. A total of 253 nodes were<br />

developed and analyzed.<br />

The goal was to create nodes that have: (1) significant<br />

excess generating capability (exporting areas),<br />

(2) significant excess loads (importing areas), or (3)<br />

both significant generation and loads (such areas<br />

can shift between being importing and exporting areas).<br />

<strong>Transmission</strong> paths connect the nodes on the<br />

power grid. Each node is connected to one or more<br />

adjacent nodes via transmission paths, each with a<br />

known and limited capability. The nodes were designed<br />

to exclude—rather than contain—major<br />

transmission facilities, so as to make congestion<br />

visible between nodes rather than obscured within a<br />

node. <strong>Electric</strong> power system control areas 15 are not<br />

good proxies for nodes because they vary widely in<br />

size and electrical capacity, and congestion frequently<br />

occurs within control areas.<br />

This approach to defining nodes varied by market:<br />

• For markets administered by NYISO and<br />

ISO-NE, LMP zones were used as a proxy for<br />

nodes. This is because congestion typically<br />

occurs between these zones rather than within<br />

14 These steps involved the use of CRAI’s in-house post-processing tools, TRANZER (a <strong>com</strong>mercial product of Cambridge Energy Solutions)<br />

and PowerWorld Simulator (a <strong>com</strong>mercial product of PowerWorld Corporation).<br />

15 See Glossary for definition of “control area.”<br />

16 U.S. Department of Energy / <strong>National</strong> <strong>Electric</strong> <strong>Transmission</strong> <strong>Congestion</strong> <strong>Study</strong> / 2006

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