Method for calculating renewable energy consumption capability of power distribution network based on uncertain optimal power flow

Abstract

The invention discloses a method for calculating the renewable energy consumption capability of a power distribution network based on an uncertain optimal power flow. The method comprises the following steps: establishing an expression of a node voltage square term when the injection power of a plurality of renewable distributed power supplies fluctuates; establishing an uncertainty optimal power flow model for calculating the consumption capability when the renewable energy power prediction error is considered; and establishing an equivalent transformation model of the uncertainty optimal power flow model when the power prediction error is described by the probability, and solving the equivalent transformation model to obtain the renewable energy consumption capability of the power distribution network. According to the method, the conversion from the uncertainty constraint to the certainty constraint can be realized; meanwhile, the uncertainty optimal power flow can be finally converted into a linear programming model, so that a mature algorithm can be adopted for solving, a global optimal solution is obtained, the calculation precision of the renewable energy consumption capability is improved. The method is of great significance to planning and operation of renewable energy sources and power distribution networks.

Description

technical field [0001] The invention belongs to the field of distribution network control, operation and optimization, and in particular relates to a method for calculating the renewable energy consumption capacity of a distribution network based on an uncertain optimal power flow. Background technique [0002] The penetration rate of renewable distributed power sources such as distributed photovoltaics and wind power in power distribution systems is rapidly increasing. The power injection of renewable distributed power into the distribution network may cause power reverse in the distribution network and increase the voltage of new energy access nodes. In the local distribution network with a high penetration rate of renewable distributed power, there have been cases where the output of renewable distributed power cannot be fully absorbed. At the same time, the power of renewable distributed power has a certain degree of uncertainty, which brings certain difficulties to the...

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Problems solved by technology

[0003] In the existing evaluation models for the accommodation capacity considering the uncertainty of renewable energy, chance constrained programming, simulation method or intelligent optimization algorithm are usually used to solve the problem, and the calculation amount is usually large, and it is necessary to verify whether the probability constraint is established through multiple power flow calculations , and it is difficult to guarantee the global optimal solution, resulting in low evaluation accuracy, which will inevitably affect the planning and operation of renewable distributed power in the distribution network

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