Title :
PNM smart grid demonstration project from modeling to demonstration
Author :
Abdollahy, S. ; Lavrova, O. ; Mammoli, A. ; Willard, S. ; Arellano, B.
Author_Institution :
Electr. & Comput. Eng. Dept., Univ. of New Mexico, Albuquerque, NM, USA
Abstract :
Distribution level modeling or monitoring has not been of primary concerns of the utility companies so far, because traditionally the electric power is delivered unidirectional from distribution substations to the customers. Meanwhile, integrating Distributed Energy Resources (DER) into the distribution feeders and contribution of the customers in demand response and other aspects of the future smart grid is starting to push system planners, utility companies and researchers to build unabridged and detailed model of the distribution feeders even down to home appliances level. GridLAB-D™ and Open-DSS are both open source software tools, designed for modeling distribution level power systems. Design and development of multiple algorithms for peak shaving, arbitrage, load shifting and smoothing scenarios is of major concerns. We show that very promising results in terms of modeling future smart grid and various possibilities are expected.
Keywords :
decision support systems; distribution networks; energy resources; power markets; power system simulation; public domain software; smart power grids; substations; GridLAB-D; Open-DSS; PNM smart grid demonstration project; customers demand response; distributed energy resources integration; distribution feeders; distribution level power systems modeling; distribution substations; home appliances level; load shifting; open source software tools; peak shaving; smoothing scenarios; system planners; utility companies; Companies; Data models; Density estimation robust algorithm; Generators; Load modeling; Smart grids; Substations; advanced metering infrastructure; demand side management; distributed energy resources; distribution system modeling; real time pricing; smart grid;
Conference_Titel :
Innovative Smart Grid Technologies (ISGT), 2012 IEEE PES
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4577-2158-8
DOI :
10.1109/ISGT.2012.6175594