Multi-target dynamic robust reconstruction method for power distribution network containing low-wind-speed distributed wind power

Abstract

The invention relates to a multi-target dynamic robust reconstruction method for a power distribution network containing low-wind-speed distributed wind power. The method comprises the steps of obtaining probability characteristic parameters of a power distribution network connection state and a power distribution network load; forming a plurality of power distribution network reconstruction schemes, and constructing an initial population; obtaining expected values of power distribution network loss and three-phase current unbalance degree; respectively solving eight-order semi-invariants of low-wind-speed distributed wind power active output, reactive output, photovoltaic output and load, and obtaining out-of-limit probability of a node voltage and out-of-limit probability of a branch power flow; judging whether the network topology structure meets radial constraints or not; solving a power distribution network reconstruction problem, and continuously iterating to obtain an optimal population so as to obtain an optimal dynamic reconstruction scheme; and applying the optimal dynamic reconstruction scheme to a target power distribution network, and controlling the on-off of an interconnection switch according to the optimal dynamic reconstruction scheme. The method not only can adapt to the operation condition of the power distribution network, but also can adapt to different wind speeds and illumination environments, and facilitates the high-permeability access of new energy to the power distribution network.

Description

technical field [0001] The invention relates to the technical field of wind power, in particular to a method for multi-objective dynamic robust reconstruction of a distribution network with low wind speed distributed wind power. Background technique [0002] With the large-scale access of distributed generation (DG) such as wind power and photovoltaics, the reliability and economy of distribution network operation have been significantly improved. However, its high randomness and volatility make the traditional distribution network reconfiguration method no longer applicable. It is not only necessary to model the randomness of DG reasonably, but also to consider the change of load in multiple continuous periods to achieve global optimization. Dynamic robust reconfiguration poses new challenges to distribution network reconfiguration technology. [0003] Scholars at home and abroad have done a lot of research on the distribution network reconfiguration strategy including DG,...

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Problems solved by technology

However, the existing distribution network load is time-varying, and the static reconstruction method only considers the characteristics of a single time section of the network, which cannot guarantee the optimal network operation economy. Therefore, the topology of the distribution network needs to be more flexible to adapt to the load and DG output. time-varying properties

[0004] In order to fully consider the uncertainty of DG output and realize the dynamic robust reconstruction of the distribution network, the current models are all based on the three-phase balance of the distribution network. Problems such as the asymmetry of three-phase line parameters have a significant impact on the voltage, current level and network loss of the distribution network, and it is necessary to take them into account in network reconfiguration.

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