Abstract—In the restructured electricity industry, the engi-
neering aspects of planning need to be reformulated even though
the goal to attain remains substantially the same, requiring var-
ious objectives to be simultaneously accomplished to achieve the
optimality of the power system development and operation. In
many cases, these objectives contradict each other and cannot
be handled by conventional single optimization techniques. In
this paper, a multiobjective formulation for the siting and sizing
of DG resources into existing distribution networks is proposed.
The methodology adopted permits the planner to decide the best
compromise between cost of network upgrading, cost of power
losses, cost of energy not supplied, and cost of energy required
by the served customers. The implemented technique is based
on a genetic algorithm and an -constrained method that allows
obtaining a set of noninferior solutions. Application examples
are presented to demonstrate the effectiveness of the proposed
procedure
关键字:
Distributed generation, distribution networks
来源:
IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 20, NO. 2, MAY 2005