Electric heating energy rolling robust scheduling method for electric heat storage and dissipation wind power

Abstract

The invention provides an electric heating energy rolling robust scheduling method for electric heat storage and dissipation wind power, and a rolling robust correction strategy is adopted to avoid the increase of the wind power prediction error caused by the delay of a scheduling period. The influence of uncertainty of the system on a scheduling plan is reduced. The method is divided into two parts, wherein the first stage is the day-ahead plan scheduling. Each wind power plant predicts the wind power output of the next day and reports the power prediction interval [P<w>, P bar <w>] of the wind power plant and other prediction information to a power grid dispatching center. The scheduling center calculates an allowable output interval [P<wp>, P bar <wp>] of each wind power plant accordingto the power prediction interval and load prediction information of each wind power plant and the output plan value P<plan> of other units. Then, the scheduling center issues a scheduling instructionto each power plant for safe and economic dispatching according to the calculation result. In the second stage, rolling correction is carried out in the day. In this scheduling stage, the wind powerprediction interval [P<r><w>, P bar<r> <w>]and other prediction information reported to the scheduling center by each wind power plant is the result of rolling correction.

Description

technical field [0001] The invention belongs to the field of electric power, and in particular relates to an electrothermal energy rolling robust scheduling method for electric heat storage and consumption of wind power. Background technique [0002] At present, due to the insufficient peak-shaving capacity of the system caused by the operation constraints of thermal power units in the "Three Norths" region of my country, the main contradiction facing the development of wind power is still the problem of wind curtailment and power rationing. At the same time, wind power output is volatile, intermittent, and random. The traditional deterministic dispatching model uses wind power point prediction results to formulate dispatching plans. There are large errors, which will increase system operation risks and further aggravate the anti-peaking characteristics of wind power. Difficulty in grid integration. [0003] In view of the severe wind curtailment situation caused by the ins...

AI Technical Summary

Problems solved by technology

However, the power supply structure in the "Three North" area is complex, the penetration rate of wind power is high, the proportion of thermal power units is large, and the scheduling of electric and thermal energy is closely related. The existing robust scheduling methods only formulate scheduling plans for electrical loads, without considering the impact of thermal loads.

At the same time, the single robust scheduling method will increase the error of the forecast information used as the scheduling period delays, resulting in an increase in the uncertainty of the system

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