A NEW SOLUTION FOR MAINTENANCE SCHEDULING OF DISTRIBUTED GENERATIONS BASED ON MONTE-CARLO SIMULATION AND GAME THEORY
DOI:
https://doi.org/10.24084/repqj08.607Abstract
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.