A new solution for maintenance scheduling of distributed generations based on monte-carlo simulation and game theory

Abstract

This paper presents a new solution for maintenance scheduling of Distributed Generation (DG) in deregulated power markets by applying an independent market for DG maintenance scheduling based on game theory. Maintenance scheduling is one of the important issues in restructured power electricity markets, because each distribution generation company desires to maximize its own payoffs and independent system operator (ISO) has its own reliability concerns that mostly, these two points of view are against with each other. The paper presents a dynamic Distribution Resources Maintenance Market (DRMM) based on dynamic game theory for resolving maintenance scheduling problem of distributed generation resources in deregulated environment. In this market, distribution generation companies are set their strategies to participate in DRMM by considering load, primary resources and seasonal forced outage rate uncertainties and behaviour of other DG companies that participate in market. On the other hand, ISO manages the maintenance market based on reliability and offering incentives /penalties for DG companies. This paper studied the ISO acts by using Monte-Carlo simulation for reliability indices assessment relying on load and resources uncertainties and interactions between DG companies. Numerical results are determined by using an applicable case study for testing accuracy and applicability of the new proposed solution.