DocumentCode :
1545628
Title :
A game-theoretic model for generation expansion planning: problem formulation and numerical comparisons
Author :
Chuang, Angela S. ; Wu, Felix ; Varaiya, Pravin
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
Volume :
16
Issue :
4
fYear :
2001
fDate :
11/1/2001 12:00:00 AM
Firstpage :
885
Lastpage :
891
Abstract :
This paper presents an application of noncooperative game theory to generation expansion planning (GEP) in a competitive electricity industry. The authors apply the Cournot model of oligopoly behavior to formulate a GEP model that may characterize expansion planning in a competitive regime, particularly in pool-dominated generation supply industries. Numerical experiments are conducted on a test system to analyze generation investment and market participation decisions of candidate expansion units that vary in costs and forced outage rates. The numerical results point to: (1) greater industry expansion and system reliability, under Cournot competition than under centralized expansion planning; and (2) higher probabilistic measures of reliability from multi-player expansion than from expansion by a traditional monopolist with an equivalent reserve margin requirement. Furthermore, the authors summarize analytical results involving a simplified version of the GEP game
Keywords :
electricity supply industry; game theory; power generation economics; power generation planning; power generation reliability; probability; Cournot model; competitive electricity industry; game-theoretic model; generation investment; industry expansion; market participation decisions; multi-player expansion; noncooperative game theory; numerical comparisons; oligopoly behavior; pool-dominated generation supply industries; power generation expansion planning; power system reliability; probabilistic reliability measures; problem formulation; Character generation; Costs; Electricity supply industry; Game theory; Investments; Oligopoly; Power generation; Reliability; System testing; Toy industry;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/59.962441
Filename :
962441
Link To Document :
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