Abstract
This paper presents a new method for transmission expansion planning in which the utility loss revenue and the customer outage cost resulting from service outages are incorporated. A new algorithm based on the total probability formula is developed for evaluating the expected value of demand not served (EDNS) and the expected value of energy not served (EENS). These reliability indices are employed to determine the utility loss revenue curve. The system expansion cost curve is obtained by using a maximum reliability design algorithm. The optimal reliability level of a transmission expansion plan is determined by minimizing the sum of the investment cost, the utility loss revenue, and the customer outage cost. An example is presented for illustration of the proposed method.
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