基于离散进化粒子群优化的多年输电扩展规划

Manuel Costeira da Rocha, Joao TomeSaraiva
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引用次数: 22

摘要

输电网扩建规划(TEP)的目标是获得一个扩建或加固输电网的计划,以最大限度地降低建设和运营成本,同时满足沿规划范围向负荷中心安全可靠地输送电力的要求。这个定义很简单,但问题的复杂性和对社会的影响使TEP成为一个具有挑战性的问题。本文的目的是介绍一种新的离散方法来解决动态TEP,基于改进版本的进化粒子群优化(EPSO)元启发式算法。本文介绍了离散EPSO (DEPSO),一种改进的离散EPSO方法,问题的数学表述,包括目标函数和约束,以及离散EPSO在该问题中的应用。最后,通过基于Garver网络和IEEE 24总线/ 38分支测试系统的案例研究说明了所开发方法的使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multiyear transmission expansion planning using discrete evolutionary particle swarm optimization
The objective of Transmission Expansion Planning (TEP) is to obtain a plan to expand or reinforce a transmission network that minimizes construction and operational costs while satisfying the requirement of delivering electricity safely and reliably to load centres along the planning horizon. This definition is quite simple, but the complexity of the problem and the impact on society transforms TEP on a challenging issue. The objective of this paper is the introduction of a new discrete approach to solve dynamic TEP, based on an improved version of the Evolutionary Particle Swarm Optimization (EPSO) meta-heuristic algorithm. The paper includes sections describing the Discrete EPSO (DEPSO), an enhanced approach of EPSO, the mathematical formulation of the problem, including the objective function and constraints, and the application of DEPSO to this problem. Finally, the use of the developed approach is illustrated using Case Studies based on the Garver network and on the IEEE 24 bus / 38 branch test system.
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