Generation schedule optimization method taking into consideration thermal power unit-driven coal mill start and stop

Abstract

The invention discloses a generation schedule optimization method taking into consideration thermal power unit-driven coal mill start and stop. The method comprises the following steps: (1) operation data of a generation schedule optimization model is acquired, and the thermal power unit-driven coal mill start and stop power output range is maintained; (2) the latest grid physical model and real-time manner data are acquired, and sensitivity calculation is started to obtain sensitivity result information; (3) the generation schedule optimization model reads system basic data, the thermal power unit-driven coal mill start and stop power output range, and the sensitivity result information; and (4) according to all the input data read in step (3) and based on the generation schedule optimization model, a thermal power unit-driven coal mill start and stop constraint is introduced and modeled into an optimization model taking into consideration thermal power unit-driven coal mill start and stop, and result information is output. By introducing the mathematical model of the thermal power unit-driven coal mill start and stop constraint, frequent coal mill start and stop caused by continuous up-and-down fluctuation of output power of a thermal power unit is avoided, a designed unit schedule is more economic and more reliable, and the cost of power generation is reduced.

Description

technical field [0001] The invention relates to a power generation plan optimization method considering the start-stop grinding of a thermal power unit, and belongs to the technical field of power system scheduling automation. Background technique [0002] At present, with the widespread implementation of smart grid construction in China, according to the next day's electricity demand forecast, considering various constraints such as system balance constraints, unit operation constraints, power grid operation constraints, and network security constraints, the next day's 96-point unit combination plan is optimized. The practical level of the day-ahead power generation planning function of the power planning and output planning has been comprehensively improved. [0003] In the actual implementation process of the day-ahead plan, due to the large deviation between the day-ahead system load forecast and the day-ahead new energy forecast and the actual situation, the day-ahead o...

AI Technical Summary

Problems solved by technology

The trend of the output plan of the unit is directly related to the start and stop of the coal mill. If the output plan of a unit fluctuates frequently at the critical point of starting and stopping the coal mill, it will lead to frequent start and stop of the coal mill, which will increase the cost of power generation. Meet the requirements of energy-saving scheduling and economical operation

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