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Optimal planning of high-voltage transmission network using the chaotic particle swarm optimization

机译:基于混沌粒子群算法的高压输电网络优化规划

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摘要

The paper presents a novel solution methodology for optimal planning of high-voltage transmission network investments. This objective of the problem is to minimize capital costs needed for new network elements while meeting imposed operating constraints. The chaotic particle swarm optimization is proposed as the problem solution. A case on transmission network planning problem is presented to show the methodology’s feasibility and efficiency, compared with the existing optimal planning methods, the search time of the particle swarm optimization method is shorter and the result is close to the ideal solution, simultaneously.
机译:本文提出了一种用于高压输电网络投资优化规划的新颖解决方案方法。该问题的目的是在满足施加的操作约束的同时使新网络元件所需的资本成本最小化。提出了混沌粒子群算法作为问题的解决方案。以输电网络规划问题为例,证明了该方法的可行性和有效性,与现有的最优规划方法相比,粒子群优化方法的搜索时间更短,结果也接近理想解。

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