SVG configuration optimization method in power distribution network containing distributed power supply

Abstract

The invention relates to an SVG configuration optimization method in a power distribution network containing a distributed power supply. The method comprises the steps of drawing a topological structure of a to-be-optimized power distribution network; after the SVG is connected to each node, calculating the weighted voltage distortion rate and the total harmonic loss of the whole power distribution network; taking the weighted voltage distortion rate and the total harmonic loss of the whole power distribution network as constraint conditions to calculate the optimization factors after the weighted voltage distortion rate and the total harmonic loss are weighed, obtaining the final configuration optimization factor, and selecting the node corresponding to the minimum optimization factor asthe optimal position suitable for SVG access. The method is high in operability and high in calculation efficiency and is convenient to implement.

Description

technical field [0001] A SVG configuration optimization method in distribution network with distributed power. Background technique [0002] With the gradual increase in the penetration rate of distributed power and energy storage, the distribution network is evolving from a traditional single-source AC system to a multi-source AC-DC hybrid system. Under this multi-power source trend, the active power, reactive power and unbalanced power flow in the power grid become more complex, resulting in an increase in the degree of harmonic coupling, and various power quality problems interact and spread rapidly, giving power quality governance brought many challenges. At this time, the traditional single-indicator governance method may lead to problems such as deterioration of the overall performance of the regional power grid and reduction in efficiency. At the same time, the types of loads in the distribution network are diversified and complicated, and the proportion of non-line...

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Problems solved by technology

[0004] The existing SVG configuration optimization methods in the distribution network have a single optimization goal, or determine the SVG installation location with the goal of minimizing the harmonic network loss, but the skin effect due to higher harmonics in actual operation is not considered when calculating the loss or the installation position of SVG is determined with the minimum voltage distortion rate. When calculating the voltage distortion rate, the importance of each load node of the distribution network and the differentiated demand for power quality are not fully considered. The distortion rate is simply summed; or after detailed distribution network modeling, complex mathematical optimization methods are used to solve the optimal installation position of SVG. The modeling process requires detailed distribution network parameters and the optimization process is cumbersome, which is difficult to use General engineering practice

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