Method for solving unit commitment of wind-fire energy storing-saving and emission-reducing unit

Abstract

The invention discloses a method for solving unit commitment of wind-fire energy storing-saving and emission-reducing unit. A decomposition-coordination thought is adopted, the unit commitment of a wind-fire power storage system is decomposed into an upper and lower layer optimization problem, the wind-fire power storage system is decomposed into fire power subsystems, wind power subsystems and water pumping energy-storing subsystems by using Lagrangian relaxation, and each subsystem is coordinated by using a self-adaptive Lagrange multiplier on an upper layer; each subsystem on a lower layer is solved by using a self-adaptive genetic algorithm. An entire optimization process comprises the following steps: determining the outputs of the wind power subsystems and the outputs of the water pumping energy-storing subsystems as well as spinning reserve which can be provided by the water pumping energy-storing subsystems according to a load curve; transmitting obtained results to the fire power subsystems respectively; coordinating and allocating in parallel on the basis by using each fire power subsystem to determine corresponding start-stop sequences and optimal outputs. According to the method, the wind power fan stop, the peak-shaving energy consumption of fire power units and the running cost can be reduced effectively, and the safety, robustness and energy saving and emission reducing capabilities of the system are further improved.

Description

technical field [0001] The invention belongs to the technical field of power grid generation planning and energy-saving and emission-reducing operation, analysis and scheduling of wind-thermal storage units, and in particular relates to a method for solving unit combinations including wind power, pumped storage and other energy sources. Background technique [0002] Electric power is a pillar industry related to the national economy and people's livelihood. It is necessary to make rational use of power generation resources and schedule the start, stop and output of generating units in advance. In recent years, with the rapid development of new energy technologies, large-scale wind power grid-connected power generation has become the main form of wind energy utilization in the world. Effective and reasonable use of wind power is the key to realizing energy conservation and emission reduction. However, wind power is random and volatile, and a large number of wind power grid in...

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Problems solved by technology

[0011] Generally speaking, the model of the unit combination problem is constantly evolving and developing, and there are more and more constraints to be dealt with. It is necessary to study the unit combination model that reflects the actual needs of the energy-saving and emission-reducing society. The solution requirements of increasingly complex and changeable unit combination problems, and as the scale of the system continues to increase, it is prone to problems such as dimension disaster, slow calculation speed and poor robustness. Further research is needed to explore the effective solution to the unit combination problem. algorithm

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