ABC算法在变电站扩建与输电扩建同步规划中的实现

2017 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE) Pub Date : 2017-12-01 DOI:10.1109/WIECON-ECE.2017.8468889

Chandrakant Rathore, P. Thote, S. Kamble, Rasika Linge, Anirudha Marothiya

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引用次数: 5

摘要

本文采用人工蜂群优化技术，同时解决了输电和变电站扩建规划问题。该方法的目标是使输电线路投资成本(TIC)和运行成本(OC)的总和最小。OC是发电机组燃料成本和总风力发电不确定成本(TWC)的组合。为了制定同步输电和变电站扩建规划(STSEP)问题的数学结构，采用了目前广泛使用的直流潮流模型。该问题还考虑了负荷的不确定性。在改进的IEEE 24总线可靠性测试系统上对该模型进行了测试。对结果进行了简单的数值分析。

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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Implementation of ABC Algorithm To Solve Simultaneous Substation Expansion And Transmission Expansion Planning

In this paper, the transmission and substation expansion planning is solved simultaneously by Artificial Bee Colony (ABC) optimization technique. The objective of this proposed approach is to minimize the summation of the Transmission Line Investment cost (TIC) and the Operation Cost (OC). The OC is the combination of the fuel cost of generating units and the Total Wind Power Uncertainty Cost (TWC). To formulate the mathematical structure of Simultaneous Transmission and Substation Expansion Planning (STSEP) problem the widely used DC power flow model is used. The proposed problem also considers the uncertainties in the load. The proposed model is tested on the modified IEEE 24-bus reliability test system. Numerical analyses on the results are briefly presented.

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来源期刊

2017 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE)

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