Optimal Operation Method of Active Distribution Network Based on Improved Information Gap Decision Theory

Abstract

The invention relates to an active power distribution network optimization operation method based on an improved information gap decision theory. The method comprises the following steps: 1) establishing an active power distribution network optimization operation model based on the improved information gap decision theory; 2) by introducing variables, converting the active power distribution network optimization operation model into a mixed integer second-order cone model; 3), adopting the Epsilon-relaxation method to perform polyhedral approximation description of the convex second-order cone, and converting a mixed integer second-order cone programming model into a mixed integer linear programming model. Compared with the prior art, the method has the advantages that the method is rapidand reliable, the economical efficiency is high, the uncertainty of wind, light and charge is comprehensively considered, and the enthusiasm of users for participating in the optimized operation of the active power distribution network is improved.

Description

technical field [0001] The invention relates to the field of distribution network optimization operation, in particular to an active distribution network optimization operation method based on improved information gap decision theory. Background technique [0002] With a large number of different types of distributed power connected to the power system, the operation and control of the distribution network become more and more complicated. The operation and management mode of traditional distribution network is gradually changing from passive to active, so the concept of active distribution network is proposed. Research on the impact of distributed generation output and load demand uncertainty on the optimal operation of active distribution networks has attracted widespread attention. However, few scholars have simultaneously considered the influence of various distributed generation output and load demand uncertainty on the optimal operation of active distribution network....

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Problems solved by technology

However, few scholars have simultaneously considered the influence of various distributed power generation output and load demand uncertainty on the optimal operation of active distribution network.

Moreover, the research results of the above literature have the following deficiencies: on the one hand, they are too dependent on historical data to completely resist the problems caused by uncertainty; on the other hand, most of the established models are nonlinear, the solution speed is slow and it is difficult to guarantee the solution accuracy of results

Therefore, there are certain errors in the calculation results of the model based on DC power flow.

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