Analysis power shortage minimization methods in the modern processing software for adequacy assessment of electric power systems

Author:

Iakubovskii Dmitrii,Krupenev Dmitry

Abstract

Analysis of domestic and foreign software systems for assessing the resource adequacy showed a variety of models and methods used in them. Many software systems use both linear and nonlinear models, these models are optimized according to various criteria to simulate the operation of the system. As tools for solving, software usually use commercial high-level modelling systems for mathematical optimization. However, in addition to the existing ready-made commercial solutions, the authors consider the effectiveness of optimization methods, as well as their parallelized versions, which can be independently implemented and applied as a solver for a specific problem. As a result, it was confirmed that these methods can be used to solve the problem, but they are less effective relative to a commercial solver. From the point of view of accuracy and resources spent on calculations, the most effective of the independently implemented methods turned out to be the parallelized method of differential evolution, which was confirmed by numerical experiments on small systems.

Publisher

EDP Sciences

Reference20 articles.

1. Generation of random states of electric power systems at assessment of their reliability by the Monte Carlo method

2. Kovalev G.F., Reliability of electric power systems // Kovalev G.F., Lebedeva L.M.; Ed. by Voropai N.I.. – Novosibirsk: Nauka, 2015. – 224 p.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Determination of an effective implementation of the differential evolution method to power shortage minimization;2021 IEEE International Symposium on Systems Engineering (ISSE);2021-09-13

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