Resumo (PT):
Abstract (EN):
: The implementation of market
mechanisms to remunerate embedded generation
should take into account a non-discriminatory
access to networks. In consequence, power loss
costs must be fairly allocated among the all
generators and consumers. In the context of the
microeconomic theory, the marginal losses reflect
the Short-Term Marginal Costs (STMC) and
therefore achieve short-term economic efficiency.
Hence, a loss allocation method based in
Marginal Loss Coefficients (MLCs) have been
proposed in the literature as sensitivity factors
measuring the change of total power losses
respect the generation/consumption power
balance in each node of the system. However, as
result of vagueness in demand consumption at
given time and stochastic behaviour of renewable
sources, MLCs computation is strongly affected
by uncertainty in the power injections and load
consumption. This paper discusses a new method
for computation of active MLCs using Fuzzy Sets
to represent distributed power injections
uncertainties. The application of fuzzy techniques
provides a whole spectrum of feasibility and may
be used in the tariff design process. Proposed
methodology takes into account the allocation of
power losses produced by active and reactive line
flows and has been successfully applied to an
illustrative three-bus system and a 28-bus
distribution test case.
Language:
English
Type (Professor's evaluation):
Scientific
No. of pages:
8