基于人工智能技术的重构电力系统拥塞管理综述

2022 2nd International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC) Pub Date : 2022-01-21 DOI:10.1109/PARC52418.2022.9726592

R. Mishra, Amit Yadav, Mayank Singh

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引用次数: 1

摘要

在竞争激烈的电力市场中，输电线路拥堵监管显得尤为重要。拥塞对电力交易造成阻碍。不可接受的电力交换管理可能会产生拥塞成本，这对客户来说是一个不利的负担。本文阐述了解除管制电力环境下的拥塞管理人工智能技术。此外，为测试用例确定了解决解除管制制度下拥塞管理问题的最有效技术。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Artificial Intelligence Techniques based Congestion Management in Restructured Power Systems: A Review

The transmission lines congestion supervision becomes extremely important in the competitive electricity marketplace. The congestion creates hindrance to the electric power trading. The unacceptable management of electric power exchanges could build the congestion cost which is an undesirable weight on clients. This paper elucidates artificial intelligence techniques for congestion management in deregulated power environment. In addition, most effective techniques are identified for the test cases to solve the congestion management problem in deregulated regime.

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2022 2nd International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC)

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