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Tree searching heuristic algorithm for multi-stage transmission planning considering security constraints via genetic algorithm

机译:遗传算法考虑安全约束的多阶段传输规划树搜索启发式算法

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摘要

This paper presents a methodology to solve the multi-stage transmission system expansion planning (MSTSEP) based on tree searching heuristic algorithm (TSHA) combined with a genetic algorithm (GA). The objective is to determine where and when the reinforcements must be available to ensure the system's demand and security criteria. The set of best solutions provided by TSHA can be used as initial population for the GA technique in order to search for expansion plans with enough capacity to meet the N-1 criterion according to a predetermined list of contingencies. To demonstrate the effectiveness of the proposed methodology the results of two systems will be compared with a numerical based approach provided by a commercial software and other academic research. (C) 2016 Elsevier B.V. All rights reserved.
机译:本文提出了一种基于树搜索启发式算法(TSHA)和遗传算法(GA)的多阶段传输系统扩展规划(MSTSEP)的求解方法。目的是确定必须在何时何地使用增强件以确保系统的需求和安全标准。 TSHA提供的一组最佳解决方案可以用作GA技术的初始填充,以便根据意外事件的预定列表来搜索具有足够容量以满足N-1标准的扩展计划。为了证明所提出方法的有效性,将两个系统的结果与由商业软件和其他学术研究提供的基于数值的方法进行比较。 (C)2016 Elsevier B.V.保留所有权利。

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