基于人工智能的TNEP。第1部分:数学模型

2013 IEEE 8th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2013-05-23 DOI:10.1109/SACI.2013.6609005

Petru Dan Cristian, C. Barbulescu, S. Kilyeni, O. Pop, F. Solomonesc

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引用次数: 1

摘要

本文主要研究利用人工智能技术解决输电网扩容规划问题。它分为两部分。第一部分主要介绍了粒子群算法和遗传算法的概念和原理。给出了相应的数学模型和软件工具。讨论了实际考虑。第二部分侧重于案例研究。采用作者自行开发的13总线测试电源系统和ieee24rts。该研究工作将用于罗马尼亚电力系统(超过1000辆公交车)。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Artificial intelligence based TNEP. Part 1: Mathematical models

The paper is focusing on transmission network expansion planning (TNEP) problem solved using artificial intelligence techniques. It is divided into two parts. The 1st part is dedicated to the particle swarm optimization (PSO) and genetic algorithm (GA) concepts and mechanisms. The mathematical models and the associated software tool are also presented. Practical considerations are discussed. The 2nd part is focusing on case studies. 13 buses test power system, developed by the authors and IEEE 24 RTS have been used. The research work is going to be used in case of the Romanian power system (over 1000 buses).

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2013 IEEE 8th International Symposium on Applied Computational Intelligence and Informatics (SACI)

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