采用MVA-mile和MW-mile方法的基于遗传算法的印度电力公司轮转电价分配

2016 International Conference on Emerging Trends in Electrical Electronics & Sustainable Energy Systems (ICETEESES) Pub Date : 2016-03-11 DOI:10.1109/ICETEESES.2016.7581353

A. Saxena, S. Pandey, L. Srivastava

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引用次数: 3

摘要

在解除管制的电力系统中，动态电价的评估与分析成为一项具有挑战性的任务。在印度电力部门，各种网络用户都是基于一种区域性邮票定价方法。但是由于场景的改变，邮票的方式不满足印度的电力政策。由于电力潮流的非线性，对输电线路的电价起着重要的决定作用。因此，目前国内主要采用基于潮流的实际功率兆瓦英里法和基于潮流的实际功率和无功功率轮转电价评估mva英里法。为了提高这两种基于流的方法的效率，需要使用不同的优化技术。本文采用基于遗传算法的MVA-mile和MW-mile方法对印度公用事业62总线系统进行轮转电价分配。

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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Genetic algorithm based wheeling prices allocation for Indian power utility by using MVA-mile and MW-mile approaches

In deregulated power system, assessment and analysis of wheeling prices become a challenging task. In Indian power sector various network users are based on a regional postage stamp method for wheeling prices. But due to changed scenario, postage stamp method does not satisfy Indian electricity policy. It is because of non linear power flow plays an important role to decide wheeling prices across transmission lines. So flow based MW-mile method for real power and MVA-mile method for real and reactive power wheeling price assessment is used now on national level. To increase efficiency of both flow based methods different optimization techniques are to be used. In this paper wheeling prices are allocated for Indian utility 62 bus system by using MVA-mile and MW-mile method based on genetic algorithm approach for optimum power flow calculation.

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来源期刊

2016 International Conference on Emerging Trends in Electrical Electronics & Sustainable Energy Systems (ICETEESES)

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