Flexible load-considered multi-target day-ahead economic dispatching model and method

Abstract

The invention discloses a flexible load-considered multi-target day-ahead economic dispatching model and a flexible load-considered multi-target day-ahead economic dispatching method. The method comprises the steps of firstly, establishing a wind power output uncertainty model and a load uncertainty model; considering the economic cost and the carbon emission of the system at the same time; respectively modeling a thermal power generating unit and a flexible load in the system, processing the spinning reserve constraints of the system by adopting opportunity constraint programming, solving themodel by adopting an improved CMOPSO algorithm, and finding an optimal compromise solution from a Pareto solution set by utilizing a fuzzy membership function, namely balancing the solutions of two target functions. According to the method, a unit output plan of the next day can be made before the day. The fluctuation of wind power and loads is met with a certain confidence coefficient, and the reliability of system operation is guaranteed. The demand side flexible load participates in system scheduling and can be coordinated and matched with the power generation side to achieve the effects of peak clipping and valley filling and relieving the power utilization pressure in the peak period. The improved algorithm can increase the search range of the target space and improve the convergenceand diversity of the algorithm.

Description

technical field [0001] The invention relates to the field of day-ahead economic dispatching of a single area electric power system, and specifically relates to a multi-objective day-ahead economic dispatching model and method considering flexible loads under the condition of considering both source and load uncertainties. Background technique [0002] With the development of the economy and the progress of society, a large amount of fossil fuels such as coal and oil are used, and the global consumption of non-renewable energy is increasing year by year. At the same time, the burning of fossil fuels such as coal and oil has greatly increased carbon emissions. , the environmental problems faced by human beings are becoming increasingly severe. Therefore, the concept of low-carbon emission reduction was put forward and received people's approval and attention. In recent years, on the one hand, as the power generation technology of renewable energy has gradually matured, it has...

AI Technical Summary

Problems solved by technology

However, the setting of weight coefficients is generally given artificially based on subjective wishes, which is not objective enough.

In recent years, some scholars and experts have proposed many intelligent optimization algorithms for dealing with multi-objective problems, but there are still deficiencies in dealing with complex multi-objective optimization problems.

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