摘要
安全是电力生产首要环节,对电力生产进行安全性评价有利于及时发现并消除不安全因素和危险。基于传统评价方法的不足,提出了利用BP神经网络的电力企业安全性评价方法。在论述BP神经网络基本原理和算法基础上,按现代安全理论建立了电力生产安全性评价模型并进行求解。案例应用验证了所提方法的正确性和有效性。
Security is the primary link in electric power production, security evaluation for electric power production is favorable to detect and eliminate insecure factor and danger in time. Considering shortcomings of traditional evaluation methods, an evaluation method using BP neural networks is proposed in this paper. Based on fundamental principle and algorithm of BP neural networks, a security evaluation model for electric power production is established and solved according to modern security theory. A case application proves the correctness and validity of this method.
出处
《电力系统保护与控制》
EI
CSCD
北大核心
2009年第16期46-49,共4页
Power System Protection and Control
基金
国家自然科学基金(70571060)面向绿色制造的制造企业生产过程多目标集成决策模型及方法研究~~
关键词
电力生产
安全性评价
BP神经网络
electric power production
security evaluation
BP neural networks