结合混合粒子群模式搜索算法的同步聚光镜输电优化

2023 International Conference on Power, Instrumentation, Energy and Control (PIECON) Pub Date : 2023-02-10 DOI:10.1109/PIECON56912.2023.10085755

Rishan Karangan, A. Arief, R. Sadjad, M. B. Nappu

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引用次数: 0

摘要

本研究采用粒子群优化(PSO)和模式搜索(PS)混合算法，对同步冷凝器(SC)在印度尼西亚多引擎电力系统南苏拉威西电力系统模型中的输电性能进行了测试。该方法采用MATLAB软件和DigSILENT软件，通过自动数据交换协议将两者连接起来。利用DigSILENT进行潮流计算，并利用MATLAB实现粒子群模式搜索优化(PSPSO)算法。通过潮流计算表明，该方法可以最大限度地减少输电线路的损耗，提高电压分布，保证电网的稳定。

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Power Transmission Optimization Using Synchronous Condenser Incorporated with Hybrid Particle Swarm Pattern Search Algorithm

The synchronous condenser (SC) was tested in this study to improve performance of the power transmission in the South Sulawesi Electric Power System model, in Indonesia, a multi-engine power system, using a hybrid of particle swarm optimization (PSO) and pattern search (PS) algorithms. This method employs MATLAB and DigSILENT, which is linked by an automated data exchange protocol. Power flow calculations are performed using DigSILENT, and the particle swarm pattern search optimization (PSPSO) algorithm is implemented using MATLAB. This method has been shown through power flow calculation to minimize losses on the transmission line and enhance voltage profile, ensuring power grid stability.

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2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)

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