Distribution network reactive power optimization method, device, computer equipment and readable storage medium

Abstract

The present application provides a distribution network reactive power optimization method, device, computer equipment, and readable storage medium. The method includes: obtaining a reactive power optimization model of the distribution network system, and according to the reactive power optimization model, the distribution network The system network loss optimization function and the discrete reactive power equipment action loss optimization function are transformed into the Markov decision process corresponding to the reactive power optimization of the distribution network, and the state value is used as the goal to solve the Markov decision process, and the obtained The configuration information of the discrete reactive power adjustment equipment, and configure the distribution network system according to the configuration information, so as to realize the reactive power optimization of the distribution network system. In the case of high degree, without modeling the power flow state of the distribution network, the worry-free optimization can be realized, which effectively reduces the network loss and capacitor action of the distribution network system, thereby improving the economy of the distribution network system operation.

Description

technical field [0001] The present application relates to the technical field of electric power system control, in particular to a reactive power optimization method, device, computer equipment and readable storage medium of a distribution network. Background technique [0002] In recent years, in order to cope with energy crisis and environmental pollution, countries around the world are also vigorously encouraging the development of distributed new energy while promoting the utilization of centralized new energy. At the same time, with the gradual increase of the penetration rate of these distributed energy sources in the distribution network, the reactive power optimization of the distribution network after its grid connection has brought great difficulties. [0003] To solve the reactive power optimization problem in traditional technology, the network loss of the distribution network system is usually used as the optimization target, and the action sequence of the discr...

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Problems solved by technology

[0004] However, the line parameters of the low-awareness distribution network have strong spuriousness, the network structure is not easy to fully grasp, and there is almost no accurate power flow parameter model, which cannot support advanced applications of reactive power optimization, resulting in a reduction in the economy of the distribution network system.

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