Power system controller determination method

Abstract

The invention discloses a power system controller determination method. The method comprises the following steps of constructing a state equation model of the power system; determining a state coefficient matrix and a control coefficient matrix of the power system state equation model; determining a stability correlation constant n according to the expected closed-loop pole distribution; solving an improved Riccati equation based on the power system state equation model with the parameters to obtain a solution matrix; determining an optimal controller based on stability according to the solution matrix, and enabling all closed-loop poles to be located at the left side of s =-n through the action of the controller, thereby improving the stability of the power system.

Description

Technical field [0001] The invention relates to the technical field of power system stability control, and in particular to a method for determining a power system controller. Background technique [0002] The stability of the power system has an important impact on the security and reliability of the power grid. Using various measures to enhance the stability of the power system is of great significance to the healthy development of the social economy and the improvement of people's quality of life. In order to improve the stability of the power system, in addition to reasonable planning, construction and dispatch, the adoption of effective control strategies is the main measure to improve the stability of the power system. By designing an effective controller, the stability of the power system can be improved, thereby providing an important guarantee for the safe and reliable operation of the power system. [0003] At present, the existing controller determination methods have t...

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Problems solved by technology

[0003] At present, the existing controller determination methods have the following problems: 1), the design of some controllers still needs to obtain the state quantities of other units in the distance, which will increase the cost of real-time information transmission in the case of cross-regional system interconnection; 2) 1. The signals used by some controllers are not easy to measure in practice, and the design of the controllers does not fully consider its practicability and feasibility, which makes the realization of the controllers more difficult; 3), the design of some controllers does not have certain indicators Function constraints, unable to make the control performance optimal under a certain index; 4), some controllers do not have a quantitative description of the given degree of stability control

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