An explicit and implicit hybrid integration method suitable for stochastic dynamic simulation of active distribution network

Abstract

The invention relates to a method for mixed explicit implicit integration applicable to random dynamic simulation of an active power distribution network and belongs to the field of active power distribution network simulation. Random characteristics and multi-time scale characteristics in the process of operating the active power distribution network are considered. The method is based on a mixed explicit implicit solving idea, an explicit integration algorithm is adopted to integrate a random disturbance term forming an active power distribution network random dynamic model, and an implicit integration algorithm is adopted to integrate a deterministic model for forming the active power distribution network random dynamic model. According to the method, numerical solution advantages of the explicit integration algorithm and the implicit integration algorithm can be brought into full play, and the method is applicable to random dynamic simulation calculation of a system under malfunction or operation conditions. Compared with a conventional explicit integration algorithm, simulation calculation efficiency and numerical stability are improved while numerical precision needed for simulation is met, and the random dynamic simulation of the active power distribution network under the conditions of considering integrated access of photovoltaic and wind power generation systems is implemented.

Description

technical field [0001] The invention relates to an active distribution network simulation method. In particular, it relates to an explicit-implicit hybrid integral method suitable for stochastic dynamic simulation of active distribution networks considering the characteristics of photovoltaic, wind power generation systems and load random operation. Background technique [0002] With the massive access of distributed generators (DG) to power distribution networks and the continuous development of advanced power technologies such as demand-side response, the random operation characteristics of distributed generators and loads have a great impact on the safe and reliable operation of the power distribution side. brought new challenges. The random operation characteristics of the system will directly affect the dynamic response characteristics of the distribution network, and then affect the dynamic characteristics of the entire system, especially the fault characteristics. H...

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Problems solved by technology

In the explicit numerical algorithm, the calculation process is simple and the simulation calculation efficiency is high. However, due to its poor numerical stability, it is prone to numerical instability when dealing with problems with multi-time scale characteristics. Usually, it can only be simulated by using a small step size. , the computational efficiency is greatly limited by

The implicit numerical algorithm has good numerical stability. When dealing with rigid problems, a larger simulation step size can be selected. However, compared with the explicit algorithm, the calculation of each time step is more complicated for the implicit algorithm, and it needs to be iterated. solution, hindering the further improvement of computational efficiency

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