Statistical Multimode Accounting in the Problem of Optimal Reactive Load Compensation when Constructing Smart Grids

A. Gerasimenko
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Abstract

The article deals with the development prospects for smart grids. An approach to optimizing the modes of electric power systems in terms of reactive power is presented in detail. The solution of this problem considers the multimodality, determination of the integral characteristics of the modes, etc. Analytical modeling of load changes by means of the method of factor analysis allows to reduce the amount of information drastically without a significant loss of the accuracy of the obtained solutions. For this purpose, the actually correlated electrical loads of various nodes of electric power systems are represented in the form of a linear combination of independent random variables, namely, generalized load graphs. It is shown that the inclusion of multimode by orthogonal graphs results in a significant simplification of the solution of multimode problems. The choice of the dependent and independent variables composition when solving the optimization problem with the power consumption modes has a fundamental effect both on the modeling of constraints, the formation of the reduced gradient and the main calculation expressions, and on the speed of the optimization search as a whole
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智能电网无功最优补偿问题中的统计多模计算
本文论述了智能电网的发展前景。详细介绍了一种基于无功功率的电力系统模式优化方法。该问题的求解考虑了多模态、模态积分特性的确定等问题。利用因子分析方法对负荷变化进行分析建模,可以大幅度地减少信息量,而不会大大降低所得到的解的准确性。为此,将电力系统各节点实际相关的电力负荷用独立随机变量的线性组合形式表示,即广义负荷图。结果表明,用正交图包含多模可以大大简化多模问题的求解。在求解具有功耗模式的优化问题时,因变量和自变量组成的选择对约束的建模、降阶梯度和主要计算表达式的形成以及优化搜索的整体速度都有根本性的影响
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