Method and device for optimizing peak regulation capacity of thermal power generating unit of electric power system

Abstract

The invention relates to a thermal power generating unit peak load regulation capacity optimization method and device of an electric power system. The method comprises the steps that the wind power abandoned electricity rate of an area is acquired; if the wind power discarding rate of the region is greater than a preset threshold value of the wind power discarding rate, solving a pre-established thermal power generating unit capacity optimization calculation model, and obtaining a thermal power generating unit peak regulation capacity regulation quantity participating in peak regulation in the region; determining the peak regulation capacity of the optimized thermal power generating unit according to the sum of the initial peak regulation capacity participating in the thermal power generating unit and the peak regulation capacity regulation quantity of the thermal power generating unit participating in peak regulation; according to the technical scheme provided by the invention, the wind power abandoned power rate control target and the regulation capability of the current thermal power generating unit are comprehensively considered, and flexible optimization of the capacity of the thermal power generating unit is realized, so that constructive suggestions are provided for a power grid to carry out flexible optimization of the capacity of the thermal power generating unit.

Description

technical field [0001] The invention relates to the technical field of coordinated control of new energy power stations, in particular to a method and device for optimizing the peak-shaving capacity of a thermal power unit in an electric power system. Background technique [0002] In recent years, the pace of development of new energy has been accelerated. Due to the randomness, intermittentness, and difficulty in accurately predicting the power generation output of new energy such as wind power and photovoltaics, the large-scale access to new energy has brought new problems and challenges to the peak-shaving control of the power system. Challenges; for example, the cost of gas power in some areas is high and the economy is poor; the construction scale of pumped storage power stations is insufficient and the construction period is long, which leads to the power structure in these areas being dominated by thermal power with weak adjustment capabilities, and there are difficult...

AI Technical Summary

Problems solved by technology

[0002] In recent years, the pace of development of new energy has been accelerated. Due to the randomness, intermittentness, and difficulty in accurately predicting the power generation output of new energy such as wind power and photovoltaics, the large-scale access to new energy has brought new problems and challenges to the peak-shaving control of the power system. Challenges; for example, the cost of gas power in some areas is high and the economy is poor; the construction scale of pumped storage power stations is insufficient and the construction period is long, which leads to the power structure in these areas being dominated by thermal power with weak adjustment capabilities, and there are difficulties in peak regulation of the power grid; in addition, In some areas, thermal power units are mainly heating units. In order to meet the heating demand during the heating period, most heating units can only operate at high loads, and the peak-shaving capacity of the units is severely limited. The contradiction of insufficient market consumption capacity has become increasingly prominent

Therefore, the capacity flexibility optimization of thermal power units is an effective means to improve the peak-shaving capacity of the power grid and increase the consumption of new energy. The optimization of the capacity flexibility of thermal power units is mainly carried out by thermal power plants based on their own profitability in the peak-shaving auxiliary service market. The peak-shaving optimization of thermal power units is not based on the demand for wind power consumption, resulting in the following two problems. First, The optimized capacity is too low, which cannot meet the wind power consumption and peak-shaving needs of the power grid, resulting in the phenomenon of wind abandonment; the second is that the optimized capacity is too high, and the optimized capacity of thermal power is too large, which brings a burden to the operation of thermal power and also causes peak-shaving of thermal power units waste of resources

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