DER grid-connected admission capacity planning method based on dual-layer scene interval power flow

Abstract

The invention discloses a DER grid-connected admission capacity planning method based on dual-layer scene interval power flow. The planning method proposes the dual-layer scene interval power flow bysufficiently utilizing the multi-scene technology and interval power flow features, the method comprises the following steps: performing Latin hypercube sampling based on the accumulative probabilitydistribution of the wind power and the photovoltaic to obtain the whole sample space, and obtaining two layers of scene sets by using a K-means clustering algorithm, wherein the first layer scene setperforms computation by using the interval power flow, and the subordinate second layer scene sets meet the constraint if the node voltage satisfies the constraint, or performs the power flow computation by selecting the classic scene for each subordinate scene sets, thereby judging whether satisfies the constraint; solving the node voltage line-crossing probability, and establishing the DRE grid-connected admission capacity model based on the dual0layer scene interval power flow by taking the maximized DRE grid-connected admission capacity as the target and the node voltage as the chance constraint, and performing the solution by applying a universal gravitation search algorithm.

Description

technical field [0001] The invention relates to the technical field of distributed renewable power sources, in particular to a DER grid-connected access capacity planning method based on a two-layer scene interval power flow. Background technique [0002] As a widely used secondary energy source, electricity is mainly converted from fossil energy at present, causing serious environmental pollution and energy crisis. Therefore, people began to turn their attention to renewable energy, especially wind power and photovoltaics. At first, the development route of renewable energy was similar to that of traditional energy, through the establishment of large-scale wind power generation bases to achieve centralized management and grid-connected power generation. Due to the characteristics of low energy density, strong dispersion and unstable output of photovoltaic and wind power, the potential of a single centralized development method is limited. Research scholars took the lead i...

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Problems solved by technology

Monte Carlo simulation fits the actual operating conditions through a large number of random samples and calculates one by one. The solution accuracy is high, but the time complexity and space complexity are large; the probability power flow needs to know the accurate probability distribution of each random variable. When the fluctuation is large, there are obvious errors, and it is difficult to consider the timing characteristics of the source load; the multi-scenario technology uses statistical methods to

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