An optimal scheduling method for multi-source coordinated systems based on large-scale solid-state heat storage

Abstract

The invention relates to the technical field of wind power consumption, in particular to a multi-source coordination system optimization scheduling method based on large-scale solid-state heat storage, in particular to a method for using a large-capacity heat storage device to solve wind power consumption. It includes: the realization method of the heat storage device participating in the wind power consumption; the joint optimal dispatch model of the heat storage device; the utility benefit index of the heat storage device dispatch scheme; the analysis of the calculation example of the heat storage device dispatch scheme. Aiming at the problem of wind curtailment and power limitation during the winter heating period in cold regions, the invention is combined with the high-power solid-state heat storage technology with good wind power complementarity, and analyzes the wind power during the winter heating period from the perspective of improving the adjustment capacity of the power system and increasing the wind power consumption space. The solar power characteristics, considering the critical point of wind power access, rationally increase the energy load, decouple the energy coupling relationship in the traditional heating mode, optimize the scheduling of solid-state heat storage devices, and effectively solve the problem of wind curtailment during the heating period. Electric heating scheduling provides reliable solutions.

Description

technical field [0001] The invention relates to the technical field of wind power accommodation, in particular to a multi-source coordination system optimization scheduling method based on large-scale solid-state heat storage, in particular a method for solving wind power accommodation by using a large-capacity solid-state heat storage device. Background technique [0002] In recent years, with the rapid development of wind power, the uncertainty of wind power output has brought severe challenges to the operation and control of power systems, especially the problem of curtailed wind accommodation. According to the statistics of the National Energy Administration, in 2017, the national average amount of wind curtailment reached 12%, and the cumulative wind power curtailed throughout the year was 41.9 billion kWh. The situation is still severe. At the same time, winter is the most difficult period for wind power consumption and utilization. The problem of the huge amount of ab...

AI Technical Summary

Problems solved by technology

In the face of large heat storage capacity allocation, there is a lack of research on heat storage allocation scheduling strategies and optimization schemes

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