配电网集成太阳能光伏系统的多目标人工生态系统优化技术

2022 Trends in Electrical, Electronics, Computer Engineering Conference (TEECCON) Pub Date : 2022-05-26 DOI:10.1109/TEECCON54414.2022.9854838

K. U, Varaprasad Janamala

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引用次数: 0

摘要

农业部门占全球经济总量的6.4%。值得注意的是，提高产量和经济效益的技术利用正在迅速增加。为了向住宅用户提供持续的电力供应，农业支线电网依赖必须与太阳能光伏(SPV)系统相结合。本文提出了一种基于人工生态系统的优化算法(AEO)，用于同时识别SPV系统的位置和量化SPV系统的规模。考虑了印度安得拉邦的一个实用配电系统馈线Racheruvu 11kV农业馈线，并将其性能与标准的IEEE-33径向配电系统进行了比较。

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A Multi Objective Artificial Eco-System Based Optimization Technique Integrating Solar Photovoltaic System In Distribution Network

Agricultural sector contributes 6.4% of total economic generation across the world. Notably, the utilization of technology to improve the yield and economy is rapidly increasing. To provide continuous supply to the residential customers, the agricultural feeder grid-dependency has to be integrated with Solar Photo Voltaic (SPV) systems. In this paper, an Artificial Eco-System based Optimization (AEO) algorithm is proposed for simultaneously identifying the locations and quantifying the sizes of SPV systems. A practical distribution system feeder ‘Racheruvu 11kV agricultural feeder’ Andhra Pradesh, India is considered for simulation purpose and the performance is compared with the standard IEEE-33 radial distribution system.

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来源期刊

2022 Trends in Electrical, Electronics, Computer Engineering Conference (TEECCON)

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