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首页> 外文期刊>International journal of soft computing >Power Transactions Based Available Transfer Capability Estimation Using Support Vector Machine
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Power Transactions Based Available Transfer Capability Estimation Using Support Vector Machine

机译:支持向量机的基于电力交易的可用传输能力估计

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摘要

Vertically Integrated Power System around the world is being restructured into Horizontally Distributed Deregulated Power System. In the deregulated power system, the power transactions plays a major role. Effective management of power transactions decides the secure and economic operation of power system.' As the real time operation and control of deregulated power system is mainly based on transactions, it would be better if the system studies are also based on the power transactions. This study analyses the technical feasibility of ATC estimation using real power transactions. This study proposes a Support Vector Machine (SVM) based method for ATC estimation using real power transactions as inputs. To the best of the knowledge . this is the first attempt to use real power transactions as inputs for ATC estimation using SVM. The proposed methods are tested on IEEE 24 bus Reliability Test System (RTS) and IEEE 118-bus System. The results are compared with Repeated Power Flow. (RPF) results and the results of SVM Model developed using real power loads as inputs.
机译:全球范围内的垂直集成电源系统正在重组为水平分布式去管制电源系统。在解除管制的电力系统中,电力交易起着重要作用。电力交易的有效管理决定了电力系统的安全和经济运行。由于解除管制的电力系统的实时运行和控制主要基于交易,因此,如果系统研究也基于电力交易会更好。这项研究分析了使用有功交易进行ATC估算的技术可行性。这项研究提出了一种基于支持向量机(SVM)的ATC估计方法,使用有功功率交易作为输入。据所知。这是使用有功交易作为使用SVM进行ATC估算的输入的首次尝试。所提出的方法已在IEEE 24总线可靠性测试系统(RTS)和IEEE 118总线系统上进行了测试。将结果与重复功率流进行比较。 (RPF)结果和使用有功功率负载作为输入开发的SVM模型的结果。

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