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.