Multi-time-scale scheduling method for integrated energy systems considering model predictive control

Abstract

The invention discloses a multi-time-scale scheduling method for an integrated energy system considering model predictive control, which includes the following contents: 1) Establishing a network constraint model of an electrical-gas interconnected integrated energy system; 2) Establishing a long-term scale with the goal of economic optimization 3) Using the long-term optimal scheduling strategy as a reference value, establish an optimal objective function in the short-term scale; 4) Consider the prediction model of model predictive control, rolling optimization, and feedback correction 5) Test its performance in the established electrical-gas interconnected integrated energy system. The method provided by the invention effectively improves the calculation accuracy, and can more accurately formulate the optimal scheduling strategy of the electric-gas interconnection comprehensive energy system.

Description

technical field [0001] The invention relates to an optimal scheduling control method for an electric power system and a natural gas system, which performs optimal scheduling on the energy flow of an electric-gas interconnected comprehensive energy system, and belongs to the technical field of electric power systems. Background technique [0002] Since the 21st century, energy consumption and global environmental issues have become increasingly prominent, and many countries are seeking transformation and breakthroughs in the energy industry. As one of the main sectors of energy consumption, the electric power industry is particularly important to adjust the energy structure and realize low-carbon and environmentally friendly operation. Compared with traditional thermal power, natural gas power generation is cleaner and more efficient. From 2012 to 2040, the proportion of gas-fired power generation in my country is expected to increase from 2% to 12%. By the end of 2015, my ...

AI Technical Summary

Problems solved by technology

[0004] Purpose of the invention: The present invention aims at the problems existing in the optimal scheduling strategy of the existing electric-gas interconnection integrated energy system, that is, there is a deviation between the optimal scheduling strategy and the actual operation of the system due to net load prediction errors and environmental factors, and proposes a method that considers model predictive control The multi-time-scale scheduling method of electricity-gas interconnected integrated energy system considers the time-period coupling characteristics of transient natural gas system variables, and uses multi-time scale and model predictive control methods when formulating scheduling strategies, effectively correcting the gap between the optimization strategy and the actual operation of the system. The deviation between them makes the optimal scheduling strategy more accurate

Images