A Novel Nonlinear Robust Control System and Its Control Method for SVG

Abstract

The invention provides a novel nonlinear robust control system for an SVG (Static Var Generator). The control system comprises a measurement module, a signal simulation and conversion module, a comparison module, a state space conversion module, a central control module, a state space reverse transformation module, a voltage source converter gate triggering and control module and an SVG module, wherein a signal output end of the measurement module is connected with a signal input end of the SVG module through the signal simulation and conversion module, the comparison module, the state space conversion module, the central control module, the state space reverse transformation module and the voltage source converter gate triggering and control module in sequence; and a signal output end of the SVG module is connected with a power transmission system. A nonlinear robust control method provided by the invention is a continuous control method, so that a boundary function does not need to be utilized and not only can the nonlinear physical structure property of the controlled object-SVG be fully kept and utilized but also the SVG can be controlled in real time.

Description

technical field [0001] The invention relates to the technical field of flexible alternating current transmission, in particular to a novel nonlinear robust control system of SVG and a control method thereof. Background technique [0002] The modern power system is a typical high-dimensional, strongly nonlinear dynamic large system, characterized by large units, ultra-high voltage, long distances, heavy loads, interconnection of large power grids, and combined AC and DC transmission. With the use of various new power equipment and the vigorous development and utilization of renewable energy (such as wind power, photovoltaic power generation, etc.), more and more micro-grids are incorporated into the main grid, making power generation and transmission more economical and efficient. At the same time, it also increases the scale, complexity and uncertainty of the power system. In this case, local faults in the power system (such as short-circuit faults, ground faults, load dips...

AI Technical Summary

Problems solved by technology

The SVG system is a nonlinear system, and there are modeling errors in the modeling process, and the SVG device is often affected by external uncertain disturbances during operation. Therefore, when the system is subject to large external disturbances and large (Feedback) linearized controllers do not provide satisfactory control when the range fluctuates

The fuzzy control method mainly has the following disadvantages: 1. The design of fuzzy control still lacks systematicness, which is difficult to be effective for the control of complex systems

Although the generalized Hamiltonian function method is a continuous control method, the generalized term needs to be defined by a boundary function, and the boundary function is difficult to determine

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