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.
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Distributed generation, distribution networks, ge-
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发表于 2009-1-14 17:07:25
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