Electric-thermal interconnected comprehensive energy system robust state estimation method based on pseudo-measurement model

Abstract

The invention discloses an electric-thermal interconnected comprehensive energy system robust state estimation method based on a pseudo-measurement model. The method comprises the following steps: (1)obtaining electric-thermal interconnected comprehensive energy system information; (2) establishing an electric-thermal interconnected comprehensive energy system state estimation model considering equality constraints; (3) establishing a thermal load power pseudo-measurement model based on a BP neural network, and training the thermal load power pseudo-measurement model; (4) performing correlation analysis on the filtering value of the state variable of the heat supply network at the previous moment and the real-time measurement vector of the heat supply network, and inputting an analysis result into a trained heat load power pseudo-measurement model to obtain power pseudo-measurement data of a heat load node; and (5) solving the state estimation model by adopting a weighted minimum absolute value method based on a primal-dual interior point method to obtain a state variable estimation value. The method has effective robustness for bad data in the system, the number of key measurements in the system is obviously reduced, and the observability of the system is ensured.

Description

Technical field [0001] The invention relates to the field of power system monitoring, analysis and control, and in particular to a method for estimating the robust state of an electric-heat interconnected integrated energy system based on a pseudo measurement model. Background technique [0002] The electric-heat interconnected integrated energy system not only meets the most common user energy needs, but also improves the economic and environmental benefits of the energy system. It also helps smooth the fluctuation of intermittent new energy output and promotes the development of renewable energy. The online scheduling, control and optimization strategies of the system rely on complete and reliable real-time data support. Due to economic and technical reasons, the existing measurement data inevitably has noise and limited measurement points. Therefore, as one of the core functions of the energy management system, the state estimation technology is dedicated to solving the proble...

AI Technical Summary

Problems solved by technology

Moreover, there is a lack of measurement of thermal power in the actual measurement system, which causes many key measurements in the state estimation model. Once the transmission of key measurement data fails, the system will be unobservable

Images