Deregulation of the electric power industry hasintroduced new uncertainties for market participants and madeplanning of transmission expansion more difficult. More flexibletransmission expansion plans are needed, to cope with theincreased risks. In this paper, a novel planning approach is proposedto meet the above challenge. In our approach, the planningprocess is modeled as a mixed integer nonlinear programming(MINLP) problem, so that conflicting objectives can be optimizedsimultaneously. To minimize planning risks, our method identifiesseveral scenarios based on statistics and expert knowledge; themost flexible expansion plan is selected as the plan that has leastadaptation cost. The proposed method is tested with the IEEE14-bus system. Promising results are obtained to demonstrate theeffectiveness of our method.
|Journal||IEEE Transactions on Power Systems|
|Publication status||Published - 2009|