TY - JOUR
T1 - Pricing and control in the next generation power distribution system
AU - Heydt, Gerald Thomas
AU - Chowdhury, Badrul H.
AU - Crow, Mariesa L.
AU - Haughton, Daniel
AU - Kiefer, Brian D.
AU - Meng, Fanjun
AU - Sathyanarayana, Bharadwaj R.
N1 - Funding Information:
Manuscript received November 22, 2010; revised April 12, 2011; accepted March 01, 2012. Date of publication April 11, 2012; date of current version May 21, 2012. This work was supported by the National Science Foundation under the Engineering Centers Program, Grant EEC-08212121, for the Future Renewable Electric Energy Distribution Management Center (FREEDM). Paper no. TSG-00246-2010.
PY - 2012
Y1 - 2012
N2 - Smart grid technologies are gaining acceptance and are being integrated into power distribution systems as a result of public and private investment and funding. However, costs of these technologies appear to be a clear obstacle in the widespread integration and maximal use of these technologies. In this paper, the utilization of dollar pricing signals is proposed and illustrated for power distribution engineering. A signal modeled after locational marginal pricing from transmission engineering is proposed to provide pricing data locally in distribution systems. The calculation, utilization, advantages, and shortcomings of the concept are presented. A main conclusion is that the use of a distribution locational marginal price signal fits well with an electronically controlled power distribution system.
AB - Smart grid technologies are gaining acceptance and are being integrated into power distribution systems as a result of public and private investment and funding. However, costs of these technologies appear to be a clear obstacle in the widespread integration and maximal use of these technologies. In this paper, the utilization of dollar pricing signals is proposed and illustrated for power distribution engineering. A signal modeled after locational marginal pricing from transmission engineering is proposed to provide pricing data locally in distribution systems. The calculation, utilization, advantages, and shortcomings of the concept are presented. A main conclusion is that the use of a distribution locational marginal price signal fits well with an electronically controlled power distribution system.
KW - Direct digital control
KW - distributed control
KW - distributed resources
KW - distribution engineering
KW - locational marginal prices
KW - power system control
KW - solid state controllers
KW - state estimation
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U2 - 10.1109/TSG.2012.2192298
DO - 10.1109/TSG.2012.2192298
M3 - Article
AN - SCOPUS:84861884766
VL - 3
SP - 907
EP - 914
JO - IEEE Transactions on Smart Grid
JF - IEEE Transactions on Smart Grid
SN - 1949-3053
IS - 2
M1 - 6182597
ER -