Hierarchical optimization method for assisting deep peak regulation of thermal power generating unit by lithium iron phosphate battery energy storage system

Abstract

The invention discloses a hierarchical optimization method for assisting the deep peak regulation of a thermal power generating unit by a lithium iron phosphate energy storage system. The method comprises the steps of carrying out economic factor analysis on the lithium iron phosphate energy storage system assisted thermal power generating unit deep peak regulation, establishing a lithium iron phosphate energy storage system assisted thermal power generating unit deep peak regulation hierarchical optimization model, solving the hierarchical optimization model and the like, optimizing the energy storage charging and discharging power at each moment by taking the optimal peak load shifting effect and the optimal operation benefit of the lithium iron phosphate energy storage system as an upper-layer target. The middle-layer model adopts a thermal power generating unit deep peak regulation means. In combination with a unit deep peak regulation energy consumption model and a compensation model, the middle-layer model optimizes the wind power acceptance amount at each moment by taking the minimum total peak regulation cost of the system as a target, and determines the total output of thethermal power generating unit. The lower-layer model optimizes the output of each unit by taking the optimal operation benefit of the thermal power unit as a target. The method has the advantages ofscientificity, reasonability, economy, applicability, low operation cost, good peak shaving effect and the like. Therefore, a power grid system can operate stably.

Description

technical field [0001] The invention relates to the technical field of power grid peak regulation, and relates to a layered optimization method for deep peak regulation of a thermal power unit assisted by a lithium iron phosphate battery energy storage system. Background technique [0002] Wind power energy is developing rapidly, but the anti-peaking characteristics of existing wind power increase the peak-valley difference of the power grid, which brings difficulties to the stable operation of the power grid. In order to alleviate the peak shaving dilemma, various power grids have also carried out flexible transformation of thermal power units to improve the deep peak shaving capability of thermal power units and reduce the number of start-up and stop times of the units. However, deep peak regulation of thermal power units increases the operating costs of the units. The relationship between performance is the key factor in determining the operation of the unit. It has beco...

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Problems solved by technology

[0002] The development of wind power energy is rapid, but the anti-peaking characteristics of the existing wind power increase the peak-valley difference of the power grid, which brings difficulties to the stable operation of the power grid

In order to alleviate the peak shaving dilemma, various power grids have also carried out flexible transformation of thermal power units to improve the deep peak shaving capability of thermal power units and reduce the number of start-up and stop times of the units. However, deep peak regulation of thermal power units increases the operating costs of the units. The relationship between performance is the key factor to determine the operation of the unit

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