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 However, its high randomness and volatility make the traditional distribution network reconfiguration method no longer applicable.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,...

Examples

Embodiment Construction

[0075] Such as figure 1 As shown, a multi-objective dynamic robust reconstruction method for distribution network with low wind speed distributed wind power, the method includes the following sequential steps:

[0076] (1) Obtain the probability characteristic parameters of local wind speed and light intensity;

[0077] (2) Obtain the probability characteristic parameters of distribution network connection status and distribution network load from the grid monitoring module;

[0078] (3) Form a variety of distribution network reconfiguration schemes and build the initial population;

[0079] (4) Solve the probability power flow based on the Monte Carlo method of Latin hypercube sampling, and obtain the expected value of distribution network loss and three-phase current unbalance;

[0080] (5) Use the semi-invariant method to solve the eighth-order semi-invariant of low wind speed distributed wind power active output, the eighth-order semi-invariant of reactive output, the ei...

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,...

Examples

Embodiment Construction

[0075] Such as figure 1 As shown, a multi-objective dynamic robust reconstruction method for distribution network with low wind speed distributed wind power, the method includes the following sequential steps:

[0076] (1) Obtain the probability characteristic parameters of local wind speed and light intensity;

[0077] (2) Obtain the probability characteristic parameters of distribution network connection status and distribution network load from the grid monitoring module;

[0078] (3) Form a variety of distribution network reconfiguration schemes and build the initial population;

[0079] (4) Solve the probability power flow based on the Monte Carlo method of Latin hypercube sampling, and obtain the expected value of distribution network loss and three-phase current unbalance;

[0080] (5) Use the semi-invariant method to solve the eighth-order semi-invariant of low wind speed distributed wind power active output, the eighth-order semi-invariant of reactive output, the ei...

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