A collaborative dispatching method of a wind farm and an electric vehicle substation in a virtual power plant

Abstract

The embodiment of the invention discloses a collaborative dispatching method of a wind farm and an electric vehicle substation in a virtual power plant, which comprises the following steps: taking theremaining power of the electric vehicle substation in each period as a decision variable, and taking the actual power and the actual power exchange demand of the wind farm in each period as random variables, constructing a collaborative dispatching model; The optimal objective of the cooperative dispatching model is to maximize the probability of unsatisfied power exchange index, abandoned wind power index and generation schedule tracking index of virtual power plant, The cooperative dispatching strategy of the power exchange and wind farm in each time period is calculated. The invention cangive consideration to a plurality of operation indexes based on the attention degree and risk tolerance level of the decision maker to different operation indexes. The output power of virtual power plant can track the generation schedule as well as avoid the impact of wind power random fluctuation on the power grid on the premise of satisfying the unsatisfied power exchange and abandoned wind power as much as possible.

Description

technical field [0001] The invention relates to the technical field of virtual power plants, in particular to a method for coordinated scheduling of wind farms and electric vehicle replacement stations in virtual power plants. Background technique [0002] The virtual power plant formulates the power generation plan for the next day according to the forecast value of wind power and power replacement demand, and reports to the control center. Since the power generation plan reported by the virtual power plant to the control center is not necessarily completely feasible, although wind power has the priority to connect to the grid, once the safe operation of the power grid is endangered, the control center will make appropriate adjustments to its power generation plan to ensure the stable operation of the power grid. The adjusted power generation plan will be re-issued to the virtual power plant for tracking and execution. If the virtual power plant is not effective in tracking...

AI Technical Summary

Problems solved by technology

Moreover, in the day-ahead dispatching, when describing the randomness of wind power, the re-optimization and adjustment process of the power station replacement is often not considered. Therefore, the evaluation of the day-ahead optimization effect is conservative, and the multiple benefits of the power station replacement are not dutifully obtained during the time-varying process. play, so that it is impossible to deal with strong uncertainties in a targeted manner

[0005] (2) Most of the research on collaborative scheduling recently takes the charging and discharging power of the battery swapping station as the decision variable, which cannot provide effective guidance information for the readjustment of the charging and discharging power of the battery swapping station within a day, and cannot evaluate the adjustment ability of the battery swapping station from a global perspective Reasonable configuration often leads to premature exhaustion of the regulation capacity of the power station

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