基于灵敏度分析和神经网络的互联电力系统配线功率调整研究

W. Jiekang, Han Junfeng, Jiang Cheng
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摘要

考虑到不同的位置和非均质电厂在互联电力系统中所扮演的不同角色和影响,以及追求整个互联电力系统的最佳效率和稳定性的目的,提出了一种基于灵敏度分析和神经网络的新方法来解决互联电力系统中联络线的功率调节问题。利用反向传播神经网络可以计算和模拟电厂与联络线相关的敏感系数,在此之前,需要从运行的BPA软件中充分获取电厂的适当样本设置。在由不同地区实际电网的电厂单元组成的IEEE 30总线系统上验证了该方法的有效性,并与一些传统方法进行了比较。仿真结果表明,与传统方法相比,该方法能够有效地获得更高质量的解。
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Research on tie-line power adjustment of interconnected power system based on sensitivity analysis and neural network
Considering distinct locations and inhomogeneous power plants playing different roles and effecting on the interconnected power system, as well as the purpose of pursuing best efficiency and stability for the whole interconnected power system, this paper presents a new method based on sensitivity analysis and neural network to solve the power regulation on tie-line in the interconnected power system. The sensitivity coefficients for the power plants relating to tie-line can be calculated and simulated by back propagation neural network, before which the appropriate samples setting of power plants should be acquired adequately from operating BPA software. The effectiveness of the proposed method is demonstrated on IEEE 30-bus system comprising of plants units of actual power grid in different regions and compared with some conventional approaches. The simulation results show that the proposed new approach is able to obtain higher quality solutions efficiently than the conventional approaches.
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