Multi-period dynamic fault recovery method for distribution network considering distributed power output curve

Abstract

The invention relates to a power distribution network multi-period dynamic fault recovery method considering a DG (Distributed Generation) output curve. A power distribution network fault recovery model generally carries out static recovery on conditions at one moment, and an output of a DG is changed along with time, and thus, consideration to fault recovery of a power distribution network containing the DG on one time section is impractical. According to the power distribution network multi-period dynamic fault recovery method disclosed by the invention, a fault recovery period is subjected to period division in accordance with the output situation of the DG according to the actual situation on site, an optimal solution is obtained in one single period, and finally, an optimal fault recovery scheme in all periods is finally obtained, so that power distribution network multi-period dynamic fault recovery considering the DG output curve is implemented. The power distribution network multi-period dynamic fault recovery method disclosed by the invention sufficiently considers the output change of the DG, proposes combination of a load shedding strategy based on an optimal fault recovery path on the basis of improving a binary particle swarm optimization algorithm, and solves the problem of power distribution network multi-period dynamic fault recovery considering the DG output curve.

Description

technical field [0001] The invention belongs to the technical field of power system automation, and relates to fault recovery of distribution networks, in particular to a multi-period dynamic fault recovery method for distribution networks considering DG output curves. Background technique [0002] The scale, capacity and coverage of modern power systems are getting bigger and bigger, and they play an important role in the national economy and people's lives. A power outage will bring serious damage to social production and people's lives. Once a large-scale power failure in the distribution network occurs, the impact will be important. The user's power supply may directly endanger the safety and stability of society. As the application of distributed power generation (hereinafter referred to as DG) in power distribution system becomes more feasible and convenient, it changes the traditional fault recovery model, and the output change of DG in different time periods must be ...

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Problems solved by technology

The main achievement of the static fault recovery based on the DG output at the time of the fault is Lu Zhigang et al. 92.) The fault recovery strategy proposed considers the difference between NBDG and BDG, but does not take into account the change of DG output; Chen Xinyue et al. Network fault restoration [J]. Power Grid Technology, 2014, 38(1): 99-106.) According to the probability density function of the light intensity in different periods, the discrete probability model of photovoltaic power generation is constructed, but finally the output of photovoltaic power is still calculated by probability Converge to a constant value, ignoring the output fluctuations of photovoltaics with the change of light intensity in a day; Li Zhikeng et al. .Power System Automation, 2011, 35(24): 53-58.) proposed the concept of "interval number" to describe the uncertainty of distributed power output and based on this, fault recovery in a very short period of time was considered, but Its model is not suitable for long-term failure recovery

Since various failure recovery models do not take into account the actual situation of DG output changes, they cannot be practically applied to the field

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