Title :
Intelligent Dispatch for Distributed Renewable Resources
Author :
Hopkins, Mark D. ; Pahwa, Anil ; Easton, Todd
Author_Institution :
Dept. of Electr. & Comput. Eng., Kansas State Univ., Manhattan, KS, USA
fDate :
6/1/2012 12:00:00 AM
Abstract :
Time of use (TOU) pricing is considered by many to be a key part of creating a more energy-efficient and renewable-energy-friendly grid. TOU pricing is also an integral part of the smart grid and is already available to customers of some electric utilities. With TOU pricing becoming a reality, intelligent dispatching systems that utilize energy storage devices (ESDs) to maximize the use of renewable resources, such as energy produced by small, customer owned wind generators and roof-top solar generators, and grid energy while determining the most economic dispatch schedule could play an important role for both the customer and the utility. The purpose of this work is to create an algorithm upon which these dispatching systems can be based. The details of one proposed algorithm are presented. Several case studies are presented to show the effectiveness of the algorithm from both a technical standpoint and an economic standpoint. The case studies show that while the algorithm developed is successful from a technical standpoint, the high cost of energy storage at this time limits its widespread deployment.
Keywords :
distributed power generation; energy storage; load dispatching; power system economics; pricing; smart power grids; solar power; wind power; customer owned wind generators; distributed renewable resources; economic dispatch schedule; energy storage devices; intelligent dispatch; renewable energy friendly grid; roof top solar generators; smart grid; time of use pricing; Batteries; Cost function; Dispatching; Economics; Electrostatic discharges; Pricing; Distributed generation; energy storage device; linear programming; renewable energy; smart grid; time of day pricing;
Journal_Title :
Smart Grid, IEEE Transactions on
DOI :
10.1109/TSG.2012.2190946