Active power distribution network optimization operation method based on improved information gap decision theory

A technology for active distribution network and optimized operation, applied to AC networks, electrical components, circuit devices and other directions with the same frequency from different sources, it can solve calculation result errors, it is difficult to ensure the accuracy of solution results, and the solution speed is slow, etc. question

Active Publication Date: 2019-06-28
SHANGHAI UNIVERSITY OF ELECTRIC POWER
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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

Method used

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  • Active power distribution network optimization operation method based on improved information gap decision theory
  • Active power distribution network optimization operation method based on improved information gap decision theory
  • Active power distribution network optimization operation method based on improved information gap decision theory

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Embodiment

[0145] Such as Image 6 As shown, the present invention proposes an active distribution network optimization operation method based on improved information gap decision theory. The present invention first establishes an active distribution network optimization operation mathematical model based on improved information gap decision theory. The maximum uncertainty is the goal, and at the same time, it satisfies the constraints of safe operation of the active distribution network. The model established is a nonlinear model.

[0146] Secondly, through the introduction of variables, the established model is transformed into a standard second-order cone model for solution.

[0147] The "ε-relaxation" method proposed by Ben-Tal and Nemirovski is used to approximate the convex second-order cone with a polyhedron, but MI-SOCP is more difficult to solve. Therefore, the present invention uses a mathematical method to convert MI-SOCP into MILP.

[0148] The specific solution steps are as follow...

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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 optimized operation of a distribution network, in particular to an optimized operation method of an active distribution network based on an improved information gap decision theory. Background technique [0002] With a large number of different types of distributed power sources connected to the power system, the operation and control of the distribution network has become more and more complicated. The operation and management mode of traditional distribution network has gradually changed from passive to active, and the concept of active distribution network has been proposed. Research on the impact of distributed power output and load demand uncertainty on the optimal operation of active distribution networks has attracted widespread attention. However, few scholars consider the influence of the uncertainty of multiple distributed power output and load demand on the optimal operation of the active distribution networ...

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Application Information

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IPC IPC(8): H02J3/00H02J3/06H02J3/46
Inventor 葛晓琳居兴王云鹏李振坤
Owner SHANGHAI UNIVERSITY OF ELECTRIC POWER
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