C.-C. Kuo (Taiwan)
Capacitor placement, Multiobjective programming, Distribution feeder, Interactive best compromise.
A new formulation of multiobjective optimization for the general capacitor placement and sizing problem is presented. The objectives include energy loss reduction, investment cost minimization, and maximum voltage deviation improvement. The load, operating, and expansion constraints of the system are considered for practical needed. Also, both fixed and switched types of capacitors are included. A genetic aided interactive best-compromise method for solving general multiobjective optimization problems is then proposed. It can provide a flexible solution as dictated by the decision makers of the utilities. To demonstrate the effectiveness of the proposed method, comparative study is conducted on an actual feeder with rather encouraging results.
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