Day-ahead low-carbon scheduling decision-making method with consideration to wind power integration based on theory of ordinal utility

Abstract

The invention provides a day-ahead low-carbon scheduling decision-making method with the consideration to wind power integration based on the theory of ordinal utility. The method employs a multi-scene method for describing the uncertainty of wind power output, and enables a power scheduling decision-making problem to be constructed into a two-stage coordinated optimization model, wherein the model can achieve the depicting the day-ahead clearing and real-time balance process of scheduling decision making, and enables the scheduling decision making result to be higher in adaptability under theuncertain wind power integration. Meanwhile, the method employs the theory of ordinal utility for the consideration of the economical performance and carbon emission target, and achieves the more complete depicting of the preference information of a decision maker for each target.

Description

technical field [0001] The invention relates to the technical field of power generation optimization dispatching, and more specifically, relates to a day-ahead low-carbon dispatching decision-making method based on ordinal utility theory considering wind power access. Background technique [0002] Energy-saving power generation scheduling has changed the traditional power generation scheduling method, canceling the practice of allocating power generation indicators according to administrative plans, aiming at energy saving and environmental protection, and taking the internal generation, transmission, and power supply equipment of the entire power system as the scheduling object, and prioritizing the scheduling of renewable and Clean power generation resources, according to energy consumption and pollutant discharge levels, use fossil power generation resources in order from low to high, minimize energy, resource consumption and pollutant discharge, and promote efficient and ...

AI Technical Summary

Problems solved by technology

[0004] Due to the randomness and volatility of wind power output, optimal scheduling based on the above-mentioned deterministic form-based power generation optimization decision-making method may lead to serious wind curtailment in real-time operation. At the same time, the multi-objective problem is transformed into a single-objective solution. The description of the preference information of decision makers between multiple objectives is not sufficient, and it is not convenient for decision makers to obtain an optimization plan that meets their own preferences.

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