电力系统非线性最优STATCOM控制器的亚黎曼几何设计

A. Halder, Debasish Mondal
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摘要

亚黎曼几何(SRG)是现代最优控制理论的重要创新领域之一。本文将黎曼的思想应用于非线性静态补偿器的设计,以缓解电力系统的稳定性问题。利用次黎曼几何的最小测地线概念确定了STATCOM的最优控制律。为了检验研究系统的非线性可控性,采用了迭代李括号法。通过将典型偶然性应用于研究系统,研究了所设计控制器的鲁棒性。研究表明,基于亚黎曼几何的非线性控制器在三相接地故障情况下是有效的。基于SRG的控制器设计相对于其他方法的优点是,尽管Ponttyagin极大值原理和其他方法缺乏适用性,但测地线的概念可以很容易地框架得到非线性控制律。此外,SRG方法还可以避免Hamilton-Jacobi-Bellman (HJB)方法中求解状态方程和协态方程的复杂性。
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Sub-Riemannian Geometric Approach to Design Nonlinear Optimal STATCOM Controller for Power Systems
Sub-Riemannian geometry (SRG) is one of the important and innovative areas of modern optimal control theory. This work implements the idea of Riemannian’s to design nonlinear Static Compensator (STATCOM) for the mitigation of power system stability problem. The concept of minimizing geodesic of the sub-Riemannian geometry is employed to determine the optimal control law for a STATCOM. To test the nonlinear controllability of the study systems the method of iterative Lie brackets has been used. The robustness of the designed controller has been investigated by applying typical contingency to the study system. It has been revealed that the Sub-Riemannian geometry based nonlinear controller is effective in 3-phase-toearth fault circumstances. Advantage of SRG based controller design over other approaches is that the concept of geodesic can be easily framed to get nonlinear control law despite the lack of applicability of Ponttyagin’s Maximum Principle and other methods. Moreover, the complexity of solving the state and co-state equations required in the Hamilton-Jacobi-Bellman (HJB) approach can be avoided in SRG method.
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