IPFC-containing power system power flow optimization control method

Abstract

The invention provides an IPFC-containing power system power flow optimization control method, which comprises the following steps (1) determining an IPFC equivalent power injection model based on anIPFC-containing power grid structure; (2) giving an IPFC-containing power system OPF model, carrying out OPF calculation, and establishing a training set and a test set; (3) establishing a data-drivenoptimal power flow model based on an SELM framework; (4) training the established data-driven optimal power flow model based on the SELM framework in three stages; and (5) during engineering application, directly substituting the active power and the reactive power of the load of the IPFC-containing power system into the SELM framework-based data-driven optimal power flow model trained in the step (4) as input data, and calculating and obtaining an OPF result. According to the invention, the method can effectively improve the solving efficiency while guaranteeing the OPF calculation precision, facilitates the power flow optimization control of an IPFC-containing power system, just needs to adjust a small number of parameters during online application, and is high in engineering application value.

Description

technical field [0001] The invention relates to the technical field of power system power flow control, in particular to an IPFC-containing power system power flow optimization control method. Background technique [0002] With the rapid economic development, the power load continues to grow, and with the large-scale integration of new energy sources such as photovoltaics and wind power into the power grid, the structure of transmission lines is becoming increasingly complex, which brings new challenges to the stable operation of the power grid. Therefore, there is an urgent need for a flexible power flow control device that can control the power flow of multiple lines and control the real-time power interaction between heavy-load lines and light-load lines. The Interline Power Flow Controller (IPFC) has excellent multi-line power flow control capabilities gradually attracted attention. However, most of the optimal power flow models considering IPFC are mainly solved by phy...

AI Technical Summary

Problems solved by technology

However, due to the random generation of input weights and the determination process of analyzing output weights, the learning ability of SELM is limited, and due to the complex relationship between the operating state of the system power system and the OPF (Optimal Power Flow) solution relationship, it is not easy to directly apply SELM to solve OPF

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