Distributed power supply active power distribution network optimization scheduling method based on improved affine algorithm

Abstract

The invention discloses a distributed power supply active power distribution network optimization scheduling method based on an improved affine algorithm. The method comprises the steps of 1) predicting photovoltaic and wind power output power interval values in the next day based on a grey Markov model; 2) constructing a multi-objective optimization model with minimum operation cost and minimum load fluctuation, and converting multiple objectives into a single objective by adopting a TOPSIS method; 3) establishing an auxiliary model to solve each decision variable and an upper bound value and a lower bound value of an interval solution of an optimal value of an objective function; 4) converting an interval scheduling result obtained by optimization solution and each power interval value into an affine form; 5) proposing an improved affine algorithm to carry out load flow calculation on the power distribution network, and outputting an interval load flow result; and 6) outputting an optimized interval scheduling result, and calculating an evaluation index. According to the invention, the wind and photovoltaic output interval can be accurately predicted, the dispatching calculation efficiency is improved while the power flow interval result conservative property is reduced, and data reference is provided for dispatchers.

Description

technical field [0001] The invention relates to the technical field of optimal scheduling of active distribution networks, in particular to an optimal scheduling method for active distribution networks of distributed power sources based on an improved affine algorithm. Background technique [0002] Under the realistic challenges of global fossil energy depletion and increasingly serious environmental pollution, it has become an important strategic goal of my country to vigorously promote the development of renewable energy, accelerate the transformation of traditional energy structure, and achieve "carbon peak" and "carbon neutrality". Due to the uncertainty and intermittency of renewable energy, multi-style distributed renewable energy and energy storage systems are connected to the distribution network, which will cause many problems such as power quality, relay protection, and load fluctuations in the distribution network. The traditional distribution network is gradually...

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Problems solved by technology

[0003] The Chinese patent "Multi-objective day-ahead optimal scheduling method for active distribution network based on wind and light randomness" (application number 202110017757.1) discloses a multi-objective day-ahead optimal scheduling method for active distribution network based on wind and light randomness. The distribution function characterizes the wind and wind output, and simulates the randomness of the wind and wind output through random numbers; this method has problems such as difficulty in obtaining the probability distribution function and inaccuracy

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