Sequential-adaptive robust optimal dispatching system and dispatching method for active distribution network

Abstract

The invention discloses a sequence-robustness optimizing dispatching system and a dispatching method of an active power distribution network considering uncertainty. A dispatching framework comprises an upper level sequence optimizing model and a lower level robustness self-adaptive model. The dispatching method based on the dispatching framework comprises the following steps of for the traditional voltage regulation equipment in the active power distribution network, performing hourly optimizing dispatching, introducing a sequence optimizing theory, building an upper level optimizing model, and decreasing the influence of uncertainty to decisions; according to an upper level dispatching command, performing lower level optimizing within one hour, adopting a robustness self-adaptive optimizing method, and building a robustness self-adaptive active-reactive coordinated optimizing model, so as to realize the active control and real-time optimizing on the power distribution network. The dispatching method has the advantages that for the active power distribution network accessed with large-scale regenerated energy source, all controllable resources are called to provide the system support, the adverse effect by the output uncertainty of the regenerated energy source is fully decreased, and the reliable, safe, economic and efficient operation of the power distribution network is realized.

Description

technical field [0001] The invention relates to a dispatching framework and a dispatching method of an active distribution network, in particular to a sequential robust optimal dispatching system and a dispatching method of an active distribution network taking uncertainty into account. Background technique [0002] Actively developing renewable energy power generation technology is a strategic choice for my country to adjust energy structure, transform economic development mode and achieve sustainable development. Distributed power technology (DG) has become the focus of key technologies for sustainable energy development in my country. The large-scale grid-connection of distributed power generation has brought extensive influence and great challenges to the operation of distribution network. [0003] The existing active distribution network control strategies mainly include: single-time section optimal dispatch, day-ahead dispatch, and multi-time-scale coordinated hierarch...

AI Technical Summary

Problems solved by technology

Single-time cross-section optimization scheduling does not fully consider the difference between traditional control equipment and distributed power sources, and has insufficient guiding significance for the actual operation of distribution networks; day-ahead scheduling depends on the predicted value of distributed power sources, and there is often a gap between the actual value and predicted value of distributed power sources and the longer the prediction time, the greater the deviation, so the day-ahead scheduling plan is often not accurate; multi-time scale coordinated hierarchical scheduling is still a passive adjustment after the safety constraints of the distribution network exceed the limit, not a real active control And real-time optimization, and it is prone to the problems of high calculation times and high cost

[0004] Therefore, the existing technology has problems such as too low scheduling time scale and insufficient ability to deal with the uncertainty of distributed power generation, which cannot ensure the reliable, safe, economical and efficient operation of the distribution network.

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