2011 International Conference on Alternative Energy in Developing Countries and Emerging Economies
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TABLE VII
F
INAL RESULTS OF RBTS SIMULATION
DGENCO-2
DGENCO-1
Maintenance
Period
(weeks)
No.
Maintenance
Period
(weeks)
No.
12-13
8
38-39
1
12-13
9
38-39
2
38-39
10
35-36
3
12-13
11
35-36
4
12-13
5
12-13
6
38-39
7
Payoff ($): 44722591
Payoff ($): 53071556
III. C
ONCLUSION
As a result, this paper proposes a new comprehensive
solution for maintenance scheduling of large scale
distributed generating sources in distribution networks
based on establishing a competitive maintenance market
called DRMM using dynamic game, considering
uncertainties of load, primary resources and forced
outage rates of large scale DG units, determining
strategies of DG companies for achieving Nash
equilibrium, presenting incentives/penalties to them by
ISO and also and supplying the main target of ISO that is
the reliability of distribution network by using Monte-
Carlo Simulation technique in order to calculate
distribution reliability indices.
For unfolding the applicability and correctness of this
new solution for maintenance scheduling of DG units,
RBTS network has been studied. Therefore, the best
eligible strategy of a DG company for maintenance
scheduling issue can be attained through this effective
solution.
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