发电厂安全成本优化研究

Study on optimization of safety cost for power plant

高安全性和可靠性是发电厂运营的基础,投入需要大量的资源,同时又要保证发电厂的利润水平,平衡安全性和经济性是关键。在分析发电厂成本构成的基础上,首先研究利润～产量关系,寻求最优产量下的最大利润;然后利用BP人工神经网络研究发电厂的利润～安全成本关系,探讨最大利润下的安全成本,并将其作为最优安全投入。

High safety and reliability need large amount of resources to acquire and maintain and are the bases of power plant running which aims at high profits. A tradeoff between expected benefits and corresponding costs must be identified. Based on the analysis of cost structure, the relation between profits and output is delved to seek the maximum percentage corresponding to which the optimum safety cost is found by study on the relation between profits and safety cost by using BP Artificial Neural Network.