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A PSO Optimal Power Flow (OPF) Method for Autonomous Power Systems Interconnected with HVDC Technology
Electric Power Components and Systems ( IF 1.7 ) Pub Date : 2021-07-01 , DOI: 10.1080/15325008.2021.1937389
John E. Syllignakis 1 , Fotios D. Kanellos 2
Affiliation  

Abstract

High-voltage direct current (HVDC) technology has been the state of the art in power systems’ interconnections, especially for submarine installations. Multi-terminal HVDC networks and furthermore mixed AC–DC networks demand new operational modes. Techniques can be employed for the optimal operation of the whole interconnected system. In this article, an optimal power flow (OPF) technique is proposed for the steady state operation of such systems, which could be very useful in planning or scheduling of AC–DC networks. Particle swarm optimization (PSO) method has been employed to minimize the operational cost of the system. This cost includes fuel cost and investment for new transmission lines, while power losses are limited. This method-technique had been tested on real power AC power systems that are planned to be interconnected with HVDC systems. A detailed model of the simulated system was developed, and specific operational scenarios were examined.



中文翻译:

用于与 HVDC 技术互连的自治电力系统的 PSO 最优潮流 (OPF) 方法

摘要

高压直流 (HVDC) 技术一直是电力系统互连的最先进技术,特别是对于海底装置。多端 HVDC 网络以及混合 AC-DC 网络需要新的运行模式。可以采用技术来优化整个互连系统的运行。在本文中,针对此类系统的稳态运行提出了一种最优潮流 (OPF) 技术,该技术在 AC-DC 网络的规划或调度中非常有用。已采用粒子群优化 (PSO) 方法来最小化系统的运营成本。该成本包括燃料成本和新输电线路的投资,而电力损失是有限的。这种方法技术已经在计划与 HVDC 系统互连的实际电力交流电力系统上进行了测试。

更新日期:2021-08-09
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