Price demand response-based intraday economic scheduling model and linear solving method

Abstract

The invention discloses a price demand response-based intraday economic scheduling model, which comprises the following steps: (1) introducing a price demand factor, building a demand elasticity-based price demand response model, and guiding a user to change a power consumption behavior to respond to a wind power output change through a real-time power price; and (2) by building a target function and constraint conditions of power balance, conventional unit output, spinning reserve, conventional unit ramp rate, network safety and wind power output of a robust-interval economic scheduling model, integrating the price demand response model into the robust-interval economic scheduling model, and building a price demand response-based robust-interval intraday economic scheduling model with large-scale wind power consumption. The price demand response model is introduced into the robust-interval economic scheduling model by considering a wind curtailment factor; the robust-interval intraday economic scheduling model with large-scale wind power consumption by considering a price demand response is built; and a linear programming-based solving method is provided according to the duality principle.

Description

technical field [0001] The invention relates to an intraday economic scheduling model based on price demand response and a linear solution method. Background technique [0002] In recent years, large-scale wind power grid integration with volatility, uncertainty and anti-peaking characteristics has brought great challenges to the safe and economic operation of power systems. By involving demand-side resources in the grid interaction and constructing a multi-time-scale rolling and coordinated demand response (demand response) optimal dispatch mode from day-ahead, day-to-day to real-time, the flexible adjustment capability of the system can be significantly improved to effectively balance wind power fluctuations and contribute to the improvement. The wind power consumption level of the system is of great significance. [0003] The research on optimal dispatching model of wind power consumption considering demand response can be generally classified into two types of methods: ...

AI Technical Summary

Problems solved by technology

Among them, the deterministic method ignores the influence of wind power uncertainty on demand response load adjustment, and the safety cannot be guaranteed

Uncertainty analysis methods based on probability theory, such as stochastic programming method and chance constrained programming method, all

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