SOLVING THE BI-OBJECTIVE SCHEDULING OF SWITCHED CAPACITORS USING AN INTERACTIVE BEST-COMPROMISE APPROACH

An interactive best-compromise approach together with a new formulatio n for the bi-objective daily scheduling of switched capacitors is pres ented. Also, a global optimization technique known as genetic algorith m is applied for optimization applications. It can provide a flexible best-compromise solution as dictated by decision makers of electric ut ility companies. Quantitative measures can also be supplied to aid the decisionmaking process. The objectives include both concerns of line loss reduction and minimum number of switching operations. Also, the l oad and operating constraints of the system are considered for increas ed realism. To demonstrate the effectiveness of the proposed method, c omparative studies are conducted on an actual system with rather encou raging results. (C) 1998 Elsevier Science S.A. All rights reserved.