基于串联和并联 FACTS 控制器的无功功率优化调度

Manoj Kumar Kar, R. N. R. Parida, Subhasis Dash
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引用次数: 0

摘要

无功功率的优化调度包括确定和管理电力系统中的无功功率资源,以保持电压稳定,提高电力传输能力,最大限度地减少系统损耗。无功功率对于将电压水平维持在可接受的范围内并确保电网可靠运行至关重要。为获得柔性交流输电系统(FACTS)元件的最佳位置,提出了鲸鱼优化算法(WOA)。WOA 的功效通过传统的 IEEE 14 和 30 总线测试系统进行了测试。静态变阻补偿器 (SVC) 用作并联控制器,晶闸管控制串联电容器 (TCSC) 用作串联 FACTS 控制器。对有 FACTS 控制器和无 FACTS 控制器的系统都进行了分析。应用优化技术选择最佳控制参数。将建议的策略与其他当代技术进行了比较,如粒子群优化(PSO)和灰狼优化(GWO)。在各种负载情况下,基于 WOA 的技术都优于其他两种技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Series and shunt FACTS controllers based optimal reactive power dispatch
Optimal reactive power dispatch involves the determination and management of reactive power resources in a power system to maintain voltage stability, improve power transfer capability, and minimize system losses. Reactive power is essential for maintaining voltage levels within acceptable limits and ensuring the reliable operation of electrical networks. The whale optimization algorithm (WOA) has been proposed to obtain the optimal location of flexible alternating current transmission system (FACTS) components. The efficacy of WOA is tested using conventional IEEE 14 and 30 bus test systems. Static var compensator (SVC) is used as shunt and the thyristor-controlled series capacitor (TCSC) as a series FACTS controller. The analysis is carried out for both the systems with and without FACTS controllers. Optimization techniques are applied to select the optimal control parameters. The suggested strategy is compared to other contemporary techniques such as particle swarm optimization (PSO) and grey wolf optimization (GWO). At various loading situations, the WOA-based technique outperforms other two techniques.
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