Volterra polynomials in the intelligent control system of wind power plant operation

S. Solodusha, I. Orlova
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Abstract

The paper is focused on the possibility of integrating situation control and simulation modeling based on the Volterra integro-power series when describing transient processes in a nonlinear dynamic object of input-output type. A reference object was represented by a model of horizontal-axis wind turbine. The research deals with nonlinear dynamics of a rotation speed of wind turbine components depending on the blade angle and wind speed. A two-level technology is applied to prevent emergency situations. It consists of a quantitative analysis and a qualitative analysis. The first level is implemented using the situation analysis tools based on semantic modeling. At the second level the simulation modeling is performed. An algorithm for construction of a set of current situations in the semantic model is based on the Volterra polynomial integral equations. The Newton-Kantorovich method was applied to develop an iterative method to approximately solve respective nonlinear equations. The paper demonstrates the specific features of numerically solving the studied equations with a fixed length of mantissa in machine representation of a floating-point number.
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Volterra多项式在风电场运行智能控制系统中的应用
本文研究了基于Volterra积分幂级数的情景控制与仿真建模相结合的可能性,用于描述输入输出型非线性动态对象的瞬态过程。参考对象用水平轴风力机模型表示。研究了风力机部件转速随叶片角度和风速变化的非线性动力学问题。采用两级技术预防紧急情况。它由定量分析和定性分析两部分组成。第一层使用基于语义建模的情景分析工具实现。在第二级执行仿真建模。在基于Volterra多项式积分方程的语义模型中构造一组当前情况的算法。应用Newton-Kantorovich方法建立了一种近似求解各自非线性方程的迭代方法。本文论证了浮点数机器表示中尾数固定长度方程的数值求解的具体特点。
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