High-proportion renewable energy power grid dispatching method based on information gap decision theory

Abstract

The invention discloses a high-proportion renewable energy power grid dispatching method based on an information gap decision theory. The method comprises the following steps: establishing an information gap decision theory optimization model; establishing a mathematical model of a water / light / wind-containing combined dispatching system; and according to the information gap decision theory optimization model and the mathematical model of the water / light / wind-containing combined dispatching system, establishing a high-proportion renewable energy power grid dispatching model based on an information gap decision theory in consideration of output uncertainty of wind and light power. According to the method, the uncertainty of wind and light output in a water-wind-light combined system is effectively quantified, the maximum tolerance of output changes is realized on the basis of ensuring that a current scheduling cost value of the system is not higher than a cost value under the influence of a certain participation factor, and relationships between the cost and an uncertain radius are provided for different types of decision makers.

Description

technical field [0001] The invention relates to a high-proportion renewable energy grid scheduling method based on information gap decision theory, belonging to the field of power system scheduling. Background technique [0002] With the advancement of productivity, energy has become an irreplaceable material basis for human production and life. To a certain extent, the level of energy utilization can reflect the comprehensive strength of a country. my country has a variety of energy sources and abundant reserves. Among them, fossil energy is dominated by coal, and the proven coal reserves rank third in the world; the reserves of hydropower resources theoretically rank first in the world; the reserves of wind energy resources are also energy-rich regions in the world. As stated in Resource Assessment Results (2014), my country’s wind energy-rich regions are analyzed at the regional level, mainly distributed in Northwest, North, Northeast, and East China, and the actual expl...

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Problems solved by technology

[0004] Judging from the current research results, these methods all need to know the uncertain quantity in order to obtain the probability distribution, membership function and bounded uncertain set, but in Knight's uncertainty (the risk that cannot be measured and the probability cannot be calculated ) These conditions are difficult to achieve

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