Wind-water-fire joint robust unit combination method

Abstract

The invention provides a wind-water-fire joint robust unit combination method. Firstly, an uncertain set is established for the uncertainty of wind power output, and the uncertainty of the wind poweroutput is described in three aspects of a wind power output prediction interval, a time smoothing effect and a spatial cluster effect. Then, a mixed integer linear programming model for water and power dispatching is built by using a linearization method, and the model is integrated in a robust unit combination model considering wind and power dispatching to obtain a wind-water-fire joint robust dispatching model. Finally, a robust optimization model in two phases is solved by adopting a C&CG method. Compared with a traditional robust unit combination model, the wind-water-fire joint robust unit combination model has the advantages that the operation cost is reduced, and the starting number and the running time of thermal power units are reduced, so that the carbon emission is reduced, andthe environmental benefit is achieved; the wind power consumption capacity of a system is increased due to the addition of water power; and the problem of a unit combination containing cascade hydropower stations can be solved within a reasonable time range.

Description

technical field [0001] The invention belongs to the technical field of power system scheduling automation, and in particular relates to a method for combining wind-water-fire combined robust units. Background technique [0002] The goal of power system dispatching is to improve the economy as much as possible on the premise of ensuring the stability, security and quality of power supply of the power system. Real-time power balance is crucial to the quality of power supply and the security of power system operation. However, since the system load and renewable energy output change with time and space, the start-stop status and output of the unit need to change accordingly. Therefore, making a reasonable power generation plan is an important research topic in power system dispatching. In the day-ahead power generation plan, the main problem is to solve the problem of unit combination. By predicting the load and wind power output in the day-ahead, the start-up and stop status...

AI Technical Summary

Problems solved by technology

However, hydropower has many constraints, the variables are coupled with each other, and there are problems such as nonlinear constraints. This is the bottleneck of wind-water-fire robust joint scheduling.

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