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With the increased level of distributed generation and demand response comesthe need for associated mechanisms that can perform well in the face ofincreasingly complex deregulated energy market structures. Using Lagrangianduality theory, we develop a decentralized market mechanism that ensures that,under the guidance of a market operator, self-interested market participants:generation companies (GenCos), distribution companies (DistCos), andtransmission companies (TransCos), reach a competitive equilibrium. We showthat even in the presence of informational asymmetries and nonlinearities (suchas power losses and transmission constraints), the resulting competitiveequilibrium is Pareto efficient.

A Decentralized Mechanism for Computing Competitive Equilibria in Deregulated Electricity Markets