Comprehensive energy system wind power consumption method considering dynamic characteristics of heat supply network

Abstract

The invention discloses a comprehensive energy system wind power consumption method considering dynamic characteristics of a heat supply network. The method comprises the steps that a mathematical model of a comprehensive energy system is constructed; historical data of the wind turbine generator is collected, and representative scenes are calculated and screened out; an optimal scheduling model of the comprehensive energy system is constructed, a mathematical model of the comprehensive energy system is used as a constraint, a scene model is used, a Monte Carlo method is used for solving, and a wind power consumption scheme of the comprehensive energy system is obtained. According to the method, dynamic modeling is carried out on the regional heat supply network, the dynamic characteristics of thermal delay and thermal storage are fully mined, the wind power consumption space is improved, the Monte Carlo method is used in the scheduling process to reflect the power generation capacity of the wind turbine generator, the uncertainty of the power generation capacity of the wind turbine generator is reflected, waste of energy is reduced, heat requirements and electricity requirements of users are kept, and economic benefits of operators are increased while safety of a power grid is guaranteed.

Description

technical field [0001] The invention relates to the technical field of energy systems, in particular to a method for accommodating wind power in an integrated energy system considering the dynamic characteristics of a district heating network, and a corresponding storage medium. Background technique [0002] In order to solve environmental problems and adhere to a sustainable development strategy, my country has vigorously developed wind power in recent years. Compared with traditional thermal power, wind power does not produce harmful emissions such as greenhouse gases, and does not consume fossil energy reserves, which is in line with the concept of sustainable development. However, the power generation of wind power is uncertain, and its power generation is affected by uncontrollable environmental factors such as wind speed. Directly connecting wind power to the power grid, its uncertain characteristics may threaten the safe and stable operation of the power grid. [000...

AI Technical Summary

Problems solved by technology

However, the power generation of wind power is uncertain, and its power generation is affected by uncontrollable environmental factors such as wind speed. Directly connecting wind power to the power grid, its uncertain characteristics may threaten the safe and stable operation of the power grid.

[0003] However, the power generation of wind turbines is uncertain due to environmental factors (such as changes in wind speed, etc.), and the existing prediction technology cannot complete absolutely accurate predictions. Controllable power generation units (such as thermal power units, etc.) are required to coordinate with it. When there is a deviation between the power generation of the wind turbine and the predicted value, it is adjusted and supplemented in time, so that the power output of the entire integrated energy system remains stable and can stably meet the user load of the system

Images