Collaborative scheduling method of power distribution network for output uncertainty of distributed power supply

Abstract

The invention discloses a collaborative scheduling method of a power distribution network for the output uncertainty of a distributed power supply. The method comprises the following steps of (1) carrying out tracking analysis on a power flow direction of the distributed power supply in a control region of the power distribution network through a power flow tracking method and building interactive connection among the distributed power supply, the power distribution network and an electrical load in the power distribution network; (2) building a collaborative optimization scheduling model of a source network load for the output uncertainty of the distributed power supply under the given confidence level through building chance-constrained programming, and carrying out optimization employing the economic efficiency as the goal; and (3) solving an optimization model by combining a monte-carlo simulation method and a particle swarm intelligence algorithm and completing collaborative optimization. According to the collaborative scheduling method, uncertain factors, caused by the uncertainty of output fluctuation of the distributed power supply and power generation and load prediction errors, for optimization operation of the power distribution network are considered, and optimization operation and risk reduction are achieved through introducing a chance-constrained programming method of the uncertain factors.

Description

technical field [0001] The invention relates to the technical field of optimal dispatching for large-scale access to distributed power sources in an intelligent distribution network, and in particular to a distribution network collaborative dispatching method aimed at the output uncertainty of distributed power sources. Background technique [0002] The active distribution network is the introduction of an active control mechanism in the distribution network, and it is an effective solution for the future intelligent distribution network to realize the active management of a large number of distributed energy sources; Randomness brings great challenges to its participation in distribution network scheduling operation. [0003] At present, the large-scale access to distributed energy in the distribution network does not fully consider the impact of the intermittent output of distributed power sources in the control of distribution network sources and loads. However, with the...

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide a distribution network coordinated scheduling method aimed at the uncertainty of distributed power output, which can solve the problem of using short-time-scale real-time optimal control in the prior art to stabilize distributed power access to the distribution network. Incoming fluctuations make it difficult to completely eliminate the impact on the safe and stable operation of the power grid

Images