Title :
A game theoretic model for strategic maintenance and dispatch decisions
Author :
Chattopadhyay, Deb
Author_Institution :
Asia Pacific Ltd., Wellington, New Zealand
Abstract :
Maintenance decisions in an oligopolistic market attains a strategic dimension because gencos are often able to manipulate market prices through capacity withdrawal. A closely related issue is that of strategically withholding generation from available capacity. An analytic framework is presented that enables joint evaluation of maintenance and generation strategies. The Cournot-Nash equilibrium (CNE) concept is extended for intertemporal decision making on maintenance and generation for multiple gencos. Each Genco maximizes its profit by strategically putting its capacity on maintenance as well as withholding generation from available capacity, taking into account its rival gencos decisions. The CNE problem is posed as a continuous, or mixed integer, nonlinear programming optimization problem. Duality theory is employed to derive insights about the marginal profit that a genco may earn from an increment in its availability in an oligopolistic market setup. Illustrative numerical examples are presented of CNE maintenance and generation strategies and these are compared and contrasted against those of a perfectly competitive scenario.
Keywords :
decision making; duality (mathematics); game theory; integer programming; maintenance engineering; nonlinear programming; power generation dispatch; power markets; Cournot-Nash equilibrium; continuous programming; decision making; dispatch decision; duality theory; game theoretic model; market price; mixed-integer programming; nonlinear programming; oligopolistic market; strategic maintenance; Australia; Decision making; Distributed power generation; Electricity supply industry; Electricity supply industry deregulation; Game theory; Information security; Nash equilibrium; Power generation; Timing; 65; Duality; Nash equilibrium; game theory; optimal dispatch; planned maintenance;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2004.836180