Real-time electric vehicle and wind power collaborative dispatching and optimizing method

Abstract

The invention discloses a real-time electric vehicle and wind power collaborative dispatching and optimizing method. The method includes: charging and loading a wind power generator and an electric vehicle accessing into the power grid, absorbing wind power fluctuation by dispatching charging and loading of the electric vehicle, and for an optimizing and dispatching model for charging and loading of the electric vehicle, solving the optimizing and dispatching model by minimizing the sum of output adjustment amounts of all conventional generators in the power grid as a target function and utilizing a quadratic programming method or an interior point method under constraint condition of safe and stable operating of the power grid. In the real-time electric vehicle and wind power collaborative dispatching and optimizing method, the used target function is simple, computing load is reduced, computing time is shortened, and requirement for real-time dispatching can be met.

Description

technical field [0001] The invention relates to an electric vehicle and wind power cooperative real-time scheduling optimization method, which belongs to the smart grid technology. Background technique [0002] Power system dispatching is an effective management method adopted to ensure the safe and stable operation of the power grid, reliable external power supply, and orderly progress of various power production tasks. With the maturity of wind power technology and the decline of cost, the installed capacity of wind power in the country has grown rapidly. After large-scale wind power is connected to the grid, the fluctuation and intermittent characteristics of wind power output have brought major challenges to the active power dispatching of the power grid. On the one hand, it is necessary to add additional conventional generating units to increase the reserve capacity of power grid peak regulation and frequency regulation, which in turn increases the cost of wind power gr...

AI Technical Summary

Problems solved by technology

On the one hand, it is necessary to add additional conventional units for backup to increase the reserve capacity of power grid peak regulation and frequency regulation, which in turn increases the cost of wind power grid connection; , which has a greater impact on power grids that are dominated by thermal power and have a high load peak-to-valley difference

[0003] In addition, as an important means of reducing petroleum fuels and reducing carbon emissions, the state has introduced various measures to vigorously increase the penetration rate of electric vehicles. The large-scale charging load of electric vehicles will bring a great impact on the existing power grid and also affect the power grid dispatching. brings difficulty

The traditional dispatching method in China mainly adopts the dispatching method combining artificial day-ahead dispatching plan and automatic generation control (AGC) two time scales. These two time scales span a large span and the dispatching mode is relatively extensive.

After large-scale wind power and electric vehicles are connected to the power grid, the traditional dispatching method has the following problems: On the one hand, there is often a large deviation between the results of the day-ahead load forecast and the actual load, which makes the implementation of the day-ahead plan very different from the actual situation; On the one hand, the time span between day-ahead scheduling and AGC is too large, and the day-ahead plan deviation, load and random disturbance of wind power are all borne by the AGC unit, and the adjustable capacity of AGC is often insufficient.

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