Multi-agent simulation-based evaluation method for electric power peak regulation response capability of electric smelting furnace for magnesia

Abstract

The invention provides a multi-agent simulation-based electric power peak regulation response capability evaluation method for an electric smelting furnace for magnesia, and the method comprises the steps: determining an evaluation index of the electric power peak regulation response capability of a power grid agent, and building a power utilization decision model of the electric power peak regulation response capability of the electric smelting furnace agent, establishing an evaluation index expression by taking the minimum power fluctuation between the planned dispatching output of the electric smelting magnesia furnace and the real-time power generation power of the renewable energy source as a control target; the method comprises the following steps of: comparing actual output of an electric smelting furnace with planned scheduling output of the electric smelting furnace by taking planned scheduling output of the electric smelting furnace obtained by control of a power grid agent as a reference value of response peak regulation of the electric smelting agent, and establishing an objective function of the decision model by minimizing a difference value between the actual output and the planned scheduling output of the electric smelting furnace; the power peak regulation method can effectively promote renewable energy consumption, improve a load curve, and improve the flexibility and reliability of a power system.

Description

technical field [0001] The invention relates to the technical field of electric power system and automation thereof, in particular to a method for evaluating the response power peak-shaving capability of an electric fused magnesium furnace based on multi-agent simulation. Background technique [0002] At present, the world energy industry is transforming from oil and gas to new energy. Under the background of world energy, my country's energy transformation is steadily advancing towards the goal of clean energy and low-carbon energy. New energy such as wind power and solar energy is developing rapidly in my country. By 2030, my country's non-fossil energy will account for 20% of primary energy, and non-fossil energy will account for 50% of total power generation. By 2050, my country will Non-fossil energy will account for more than half, and by then, my country's energy structure will undergo fundamental changes. [0003] With the further growth of renewable energy installed...

AI Technical Summary

Problems solved by technology

At present, the demonstration application of demand side response is limited to small areas such as parks, communities, and households. It is in a small-scale and unreliable situation, and it is still unable to solve the problems of power system peak regulation and frequency regulation and renewable energy consumption.

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