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Title: Why Do Electricity Policy and Competitive Markets Fail to Use Advanced PV Systems to Improve Distribution Power Quality?

The increasing pressure for network operators to meet distribution network power quality standards with increasing peak loads, renewable energy targets, and advances in automated distributed power electronics and communications is forcing policy-makers to understand new means to distribute costs and benefits within electricity markets. Discussions surrounding how distributed generation (DG) exhibits active voltage regulation and power factor/reactive power control and other power quality capabilities are complicated by uncertainties of baseline local distribution network power quality and to whom and how costs and benefits of improved electricity infrastructure will be allocated. DG providing ancillary services that dynamically respond to the network characteristics could lead to major network improvements. With proper market structures renewable energy systems could greatly improve power quality on distribution systems with nearly no additional cost to the grid operators. Renewable DG does have variability challenges, though this issue can be overcome with energy storage, forecasting, and advanced inverter functionality. This paper presents real data from a large-scale grid-connected PV array with large-scale storage and explores effective mitigation measures for PV system variability. We discuss useful inverter technical knowledge for policy-makers to mitigate ongoing inflation of electricity network tariff components by new DG interconnection requirements or electricity markets whichmore » value power quality and control.« less
Authors:
 [1] ;  [2] ;  [2]
  1. School of Veterinary and Life Sciences, Murdoch University, Murdoch, WA 6150, Australia
  2. Sandia National Laboratories, Albuquerque, NM 87185, USA
Publication Date:
OSTI Identifier:
1279012
Grant/Contract Number:
AC04-94AL85000
Type:
Published Article
Journal Name:
Journal of Solar Energy
Additional Journal Information:
Journal Volume: 2016; Related Information: CHORUS Timestamp: 2016-07-31 17:03:23; Journal ID: ISSN 2356-7635
Publisher:
Hindawi Publishing Corporation
Sponsoring Org:
USDOE
Country of Publication:
Country unknown/Code not available
Language:
English