04.11.2014 Views

Distributed Renewable Energy Operating Impacts and Valuation Study

Distributed Renewable Energy Operating Impacts and Valuation Study

Distributed Renewable Energy Operating Impacts and Valuation Study

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

Technical Value – Distribution System<br />

This section discusses the analysis used by the <strong>Study</strong> team to determine the value for each of<br />

four potential sources of value: line losses, deferment of capital expenditures (capex), extension<br />

of service life, <strong>and</strong> reduction in equipment sizing. The section includes a description of the<br />

methodology used to determine value, a description of the various models utilized in that effort,<br />

<strong>and</strong> a discussion of the modeling results. These modeling results are then presented for each of<br />

the deployment scenarios described in Section 2 of this Report. A discussion of some of the<br />

technical limitations associated with Solar DE on the distribution system is also included.<br />

A description of how the four value sources roll up to provide an aggregate value for the total<br />

distribution system is presented at the end of this section. Depending on the level of detail<br />

required for the analysis, supplemental analysis <strong>and</strong> information may be presented in the<br />

appendices to this Report.<br />

The overall approach used by the <strong>Study</strong> team in this section included a combination of empirical<br />

testing, system modeling, <strong>and</strong> reviewing information provided by APS, other electric utilities,<br />

research institutions, <strong>and</strong> the stakeholder group. Empirical testing included utilizing existing<br />

solar DE installations owned <strong>and</strong> operated by APS to test certain conditions. The energy<br />

production from a large APS solar facility on a feeder, for example, was dropped momentarily<br />

from the electrical system to study the effect on feeder voltage <strong>and</strong> harmonics.<br />

System modeling included the development of customer load models, feeder load flows <strong>and</strong><br />

annual hourly system usage to simulate the impact on annual peak dem<strong>and</strong> <strong>and</strong> energy losses<br />

from a range of installed levels of solar DE technologies. The models were used to perform a<br />

screening analysis for actual APS residential <strong>and</strong> commercial customers, as well as feeders <strong>and</strong><br />

substations, utilizing 2006 <strong>and</strong> 2007 load <strong>and</strong> weather data to estimate dem<strong>and</strong> savings<br />

associated with solar DE.<br />

The residential <strong>and</strong> commercial customer screening analysis supported the analysis of the<br />

potential value source associated with a reduction in equipment sizing. The feeder screening<br />

analysis was used to evaluate potential solar impact to determine the level of solar DE required<br />

to defer capex.<br />

Since dem<strong>and</strong> varies on an hourly basis, <strong>and</strong> solar output varies on an hourly basis — both<br />

relatively significantly — an hourly analysis of loss savings was conducted. Projected annual<br />

hourly system load profiles, with <strong>and</strong> without solar, were compared to determine annual energy<br />

losses, as well as peak dem<strong>and</strong> losses at the system level. The methodology <strong>and</strong> results for this<br />

analysis are included in Section 4, which incorporates loss savings for both the distribution <strong>and</strong><br />

transmission systems.<br />

Hourly projected solar DE data was used to calculate “dependable capacity” at the time of the<br />

annual system peak load for the distribution <strong>and</strong> transmission system. This was use to determine<br />

a targeted capacity deferment value at the system level for the distribution <strong>and</strong> transmission<br />

systems (a slightly different calculation of “dependable capacity” was utilized for the generation<br />

system described in Section 5). An average cost of distribution improvements per MW of noncoincident<br />

load growth was used to calculate the value to the distribution system.<br />

In addition, EPRI’s DSS tool was used to analyze the hourly impact of different levels <strong>and</strong> types<br />

of solar DE deployment on a particular feeder to validate annual distribution loss calculations<br />

<strong>and</strong> the effect on annual peak dem<strong>and</strong> for capital deferment or possible equipment size reduction.<br />

<strong>Distributed</strong> <strong>Renewable</strong> <strong>Energy</strong> <strong>Operating</strong> <strong>Impacts</strong> & <strong>Valuation</strong> <strong>Study</strong> R. W. Beck, Inc. 3-3

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!