Time of use price optimization method for promoting wind power generation

Abstract

The present invention discloses a time of use price optimization method for promoting wind power generation. The method comprises the following steps of (1) using a fuzzy semi-trapezoidal membership function method to divide peak and valley periods, (2) establishing a user response model, (3) establishing a time of use price optimization model for promoting wind power generation, and (4) using a genetic simulated annealing algorithm to find the optimal solution of the time of use price optimization model for promoting the wind power generation. According to the method, the purposes of reducing power generation cost, raising system reliability, reducing wind abandon amount and increasing social purpose can be realized.

Description

【Technical field】 [0001] The invention belongs to the field of electric power market and relates to an optimization method of peak-valley electricity price. 【Background technique】 [0002] In recent years, with the large-scale grid-connection of wind power, the problem of wind power consumption has become more complicated. Fully tapping the potential of the load side and promoting the consumption of renewable energy through demand response has become an important means of power system operation. With the development and improvement of smart grid technology, the interaction technology of supply and demand is also developing and maturing. While China's wind power is developing rapidly, it is also facing problems such as low utilization rate and serious curtailment of wind power. An important reason for this problem is the incoordination between wind power output and load power consumption. Wind power output has anti-peak regulation and randomness, and wind power output is gen...

AI Technical Summary

Problems solved by technology

The traditional peak-valley pricing methods are mostly based on traditional energy power generation systems, and are limited to the shape of the original load curve for peak-shaving and valley-filling. They fail to fully consider the needs of large-scale wind power grid integration and the evaluation of direct benefits, and it is difficult to fully tap the demand side. Responsive benefits, not well suited for modern power systems with significant wind power

[0006] To sum up, the existing sales electricity price and peak-valley electricity price do not give full play to their advantages in wind power consumption. At the same time, the existing peak-valley motor formulation method has shortcomings such as insufficient consideration of wind power consumption and single adjustment target.

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