A Rolling Robust Scheduling Method for Electric Thermal Energy to Consume Wind Power with Electric Heat Storage

Abstract

The present invention proposes a rolling robust dispatching method of electrothermal energy for electric heat storage to accommodate wind power, adopting a rolling robust correction strategy to avoid the increase of wind power prediction error caused by the delay of the dispatching period, and reduce the impact of system uncertainty on the dispatching plan Impact. The present invention is divided into two parts, the first stage: day-ahead planning and dispatching. Each wind farm predicts the wind power output of the next day and reports the power prediction interval of the wind farm and other forecast information to the grid dispatching center. The dispatch center calculates the allowable output range of each wind farm and the planned output value P of other units based on the power forecast range and load forecast information of each wind farm. plan . Then, the dispatch center sends dispatch instructions to each power plant for safe and economic dispatch according to the calculation results. Stage 2: Intraday rolling correction. In this dispatching stage, the wind power forecast range and other forecast information reported by each wind farm to the dispatching center are the results of rolling corrections.

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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