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首页> 外文期刊>Electric power systems research >A multiyear dynamic transmission expansion planning model using a discrete based EPSO approach
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A multiyear dynamic transmission expansion planning model using a discrete based EPSO approach

机译：使用基于离散EPSO方法的多年动态传输扩展计划模型

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摘要

This paper presents a multiyear dynamic transmission expansion planning, TEP, model aiming at minimizing operation and investment costs along the entire planning horizon while ensuring an adequate quality of service and enforcing constraints modeling the operation of the network along the planning horizon. The developed model profits from the experience of planners when preparing a list of possible branch (lines and transformers) additions each of them associated to the corresponding investment cost. The objective of solving a TEP problem is to select a number of elements of this list and provide its scheduling along the planning horizon such that one is facing a mixed integer optimization problem. In this case, this problem was solved using a discrete evolutionary particle swarm optimization algorithm, DEPSO, based on already reported EPSO approaches but particularly suited to treat discrete problems. Apart from detailing the developed DEPSO, this paper describes the mathematical formulation of the TEP problem and the adopted solution algorithm. It also includes results of the application of the DEPSO to the TEP problem using two test networks widely used by other researchers on this area.
机译：本文提出了一项多年动态传输扩展计划TEP模型，旨在在整个规划范围内将运营和投资成本降至最低，同时确保足够的服务质量并强制约束在规划范围内对网络的运行进行建模。开发的模型从计划者的经验中受益，他们在准备可能的分支（线路和变压器）添加项列表时将其与相应的投资成本相关联。解决TEP问题的目的是选择该列表中的许多元素，并沿计划范围提供计划，以使他们面临混合整数优化问题。在这种情况下，使用离散进化粒子群优化算法DEPSO解决了这个问题，该算法基于已报道的EPSO方法，但特别适合于处理离散问题。除了详细介绍已开发的DEPSO，本文还介绍了TEP问题的数学公式和采用的求解算法。它还包括使用两个测试网络将DEPSO应用于TEP问题的结果，该网络已被该领域的其他研究人员广泛使用。

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