具有抗逆序及权重自适应的黑启动方案评估方法

逼近理想解排序法（technique for order preference by similarity to an ideal solution，TOPSIS）因方法简单易实施而应用广泛，但其存在逆序问题及无法合理地考虑指标权重问题。针对该问题，提出了具有抗逆序及权重自适应确定的黑启动方案评估新方法。首先通过引入正负极端方案及改进数据归一化方法，很好地克服了TOPSIS逆序问题的产生；进而提出指标权重的自适应确定方法，既充分利用专家的偏好，又使得客观信息得到充分利用；基于上述改进策略，提出了具有抗逆序及权重自适应确定的TOPSIS新方法并给出了具体实现步骤。河北南网黑启动算例证明了方法的有效性。

Evaluation Method of Black Start Scheme with Anti-reverse Order and Weight Adaptive

The TOPSIS method is widely used for its simple and easy implementation, but it has the reverse order problem and can not reasonably consider the index weight. To solve this problem, a new evaluation method of black start scheme with anti-reverse order and weight adaptive determination is proposed. Firstly, this method introduces the positive and negative extreme scheme and the improved data normalization method, which overcomes the reverse order problem of TOPSIS; and then it proposes an index weigh adaptive determination method, which not only takes full consideration of the preference of experts, but also makes the objective information be fully utilized. Based on the above improvement strategy, a new TOPSIS method with anti-reverse order and weight adaptive determination is proposed, and the specific implementation steps are provided. The example of black start in Hebei south network has proven the effectiveness of the proposed method.