A Day-Ahead Economic Optimal Scheduling Method for Microgrid Based on Island Division

Abstract

The invention provides a micro grid daily ahead economy optimal dispatch method based on islanding partition. The method comprises the steps of (1) inputting a network parameter, (2) setting a control variable set, (3) setting a daily ahead economy objective function, (4) setting an economy dispatch constraint function, (5) carrying out first time daily ahead economy dispatching, (6) outputting a current optimal strategy, (7) carrying out real-time rolling economy dispatching, and (8) outputting a final optimal strategy. According to the method, through introducing a rolling dispatching method, the distribution network daily ahead economy dispatching of an islanding operation state is solved.

Description

technical field [0001] The invention relates to a day-ahead economic optimal scheduling method for a microgrid based on island division, and is particularly aimed at a day-ahead economic scheduling strategy for a distribution network that considers distributed energy and may operate in an island state. Background technique [0002] With the strengthening of distribution network construction and the maturity of micro-grid technology, the penetration rate of distributed generation (DG) in the power grid continues to increase. Although DG access to the distribution network can meet the increasing load demand and improve the comprehensive utilization rate of energy, it also makes the structure of the distribution network more and more complicated. Once the distribution network fails, if the corresponding fault cannot be quickly formulated Restoration strategies may lead to the expansion of the blackout area and cause huge economic losses. IEEE Std 1547-2003 formulated in 2003 s...

AI Technical Summary

Problems solved by technology

When formulating a day-ahead economic dispatch strategy for a distribution network with distributed generation, not only the uncertainty of the output power of the distributed energy source needs to be considered, but also the island time of the distribution network plan caused by the maintenance of the upper-level power grid. Uncertainty, in summary, mainly includes the following three aspects: 1) Uncertainty of distributed energy output power: the power generation of photovoltaics and wind turbines is affected by sunlight and wind speed, although the current forecasting technology can predict However, as time increases, the inaccuracy of its prediction increases exponentially, so it cannot be used as a definite parameter for the day-ahead energy economic dispatch of the distribution network; 2) Insufficient island time Certainty: The time when the distribution network is divided into islands also has certain uncertainties. It is necessary to take into account the maintenance time of the superior power department, the impact of maintenance resources, etc.

Therefore, it is impossible to use a traditional fixed island time for energy scheduling; 3) Uncertainty of electric vehicle swap station: the battery capacity of electric vehicle swap station is affected by traffic, weather and other factors, and has certain uncertainties sex

It cannot be simply considered as a fixed-capacity load and a fixed-capacity micro-source

Therefore, considering the uncertainties of the above three, the traditional economic dispatch method cannot be used to realize the day-ahead economic dispatch of the distribution network with distributed energy and considering island operation

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