Low-carbon economic dispatch solving method based on coordination heat supply of electric boiler and heat storage device

Abstract

The invention provides a low-carbon economic dispatch solving method based on coordination heat supply of an electric boiler and a heat storage device. The method comprises the following steps: establishing a thermoelectric combined system model, establishing a target function with the lowest system economic environment cost according to the model, and optimizing and coordinating the model; predicting wind power output and active load power; coordinating a heat supply strategy with the electric boiler and the heat storage device, and determining the constraint conditions of the thermoelectriccombined system; and solving a low-carbon economic dispatch model based on the coordination heat supply of the electric boiler and the heat storage device by adopting a self-adjusting particle swarm optimization algorithm. According to the invention, adopting the self-adjusting particle swarm optimization algorithm, taking the Transact-SQL as a programming language, the background database adoptsSQL server 2008 to check the physical and logical consistency of the database, and by introducing the electric boiler and the electric boiler and heat storage device coordination heat supply strategy,a mathematical description of the economic environment cost of the thermoelectric combined system model is established, the scientific basis is provided for overall energy low-carbon economic dispatch, the overall investment benefit of the society is improved, and the emission of environmental pollutants is indirectly reduced.

Description

technical field [0001] The invention relates to an optimization method for the economical operation of an electric heating system, in particular to a low-carbon economic dispatch solution method based on coordinated heat supply by an electric boiler and a heat storage device. Background technique [0002] my country's "Three North Regions" are not only regions rich in wind energy resources, but also regions with huge demand for electricity and heat supply. The problem of "wind and heat conflict" is prone to occur in the heating supply in this area in winter. A large number of thermal power units in the power grid have insufficient peak shaving capacity due to the rigid constraint of "setting electricity by heat". Network space is insufficient. Therefore, taking a reasonable approach to improve the peak shaving capacity of the thermal power unit and reduce the abandoned wind power is of great significance for realizing the low-carbon economic dispatch of the electric heating...

AI Technical Summary

Problems solved by technology

The heating supply in this area is prone to the problem of "wind-heat conflict" in winter. Due to the rigid constraint of "heat-based power generation" for a large number of thermal power units in the power grid, the peak-shaving capacity is insufficient. Insufficient network space

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