Title :
On walrasian equilibrium for pool-based electricity markets
Author :
Motto, Alexis L. ; Galiana, Francisco D. ; Conejo, Antonio J. ; Huneault, Maurice
Author_Institution :
Dept. of Electr. & Comput. Eng., McGill Univ., Montreal, Que., Canada
fDate :
8/1/2002 12:00:00 AM
Abstract :
We present a single time period decentralized electricity market clearing model that includes reactive power and demand responsiveness in addition to the more common framework of generation-side competition for the real power commodity. The approach allows self-interested agents, namely producers and consumers, independently to maximize their individual surpluses subject to prices. This is consistent with the very notion of a competitive market as defined in equilibrium theory. An auctioneer computes equilibrium prices that achieve power balance at every network node as required by Kirchhoff ´s laws. The overall scheme is justified by duality theory for which there is a rich theoretical support, and convergence is achieved using a Newton price-updating algorithm.
Keywords :
costing; electricity supply industry; mathematical programming; power system economics; Kirchhoff ´s laws; Newton price-updating algorithm; auctioneer; convergence; decentralized electricity pool auction; duality theory; equilibrium prices; generation-side competition; market equilibrium; mathematical programming; optimization methods; pool-based electricity markets; power balance; power generation dispatch; power generation economics; power generation scheduling; power system economics; reactive demand responsiveness; reactive power responsiveness; real power commodity; self-interested agents; single time period decentralized electricity market clearing model; surpluses maximisation; walrasian equilibrium; Costs; Delay; Distributed power generation; Electricity supply industry; Power generation dispatch; Power generation economics; Power markets; Reactive power; Upper bound; Voltage;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2002.800951