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A Novel Model For Calculating Available Transfer Capability Using Semi-smooth Newton Method

机译:一种利用半光滑牛顿法计算可用传递能力的新模型

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摘要

This paper presents a new method for calculating available transfer capability (ATC) based on semi-smooth Newton method in deregulated environment. The ATC calculation is formulated as an optimization problem with the objective of maximizing the power transmission between specific generator(s) and load(s) with consideration of multi-system operating limits and trading rules. By introducing nonlinear complementarity problem function, the original optimization problem is transferred equivalently to a set of nonlinear equations and solved by semi-smooth Newton method. The remarkable advantage of this method is its capability to handle the inequation constraints. Numerical examples show that the proposed method can efficiently calculate the ATC with high accuracy.提出了計算電網可用輸電能力(ATC)的一種新方法。將ATC計算問題描述為特定發電節點與負荷節點的交易量最大的優化問題,考慮了多種系統運行約束和交易規則約束。針對這一優化問題,通過引入非線性互補問題函數,將原優化問題轉化為非線性方程組,并采用半光滑牛頓法進行求解。算法的顯著優點是避免了不等式約束的識別問題,從而極大地提高了計算效率。IEEE系統的多個算例表明該方法非常有效,具有很好的應用前景。
机译:This paper presents a new method for calculating available transfer capability (ATC) based on semi-smooth Newton method in deregulated environment. The ATC calculation is formulated as an optimization problem with the objective of maximizing the power transmission between specific generator(s) and load (s) with consideration of multi-system operating limits and trading rules. By introducing nonlinear complementarity problem function, the original optimization problem is transferred equivalently to a set of nonlinear equations and solved by semi-smooth Newton method. The remarkable advantage of this method is its capability to handle the inequation constraints. Numerical examples show that the proposed method can efficiently calculate the ATC with high accuracy.提出了计算电网可用输电能力(ATC)的一种新方法。将ATC计算问题描述为特定发电节点与负荷节点的交易量最大的优化问题,考虑了多种系统运行约束和交易规则约束。针对这一优化问题,通过引入非线性互补问题函数,将原优化问题转化为非线性方程组,并采用半光滑牛顿法进行求解。算法的显著优点是避免了不等式约束的识别问题,从而极大地提高了计算效率。 IEEE系统的多个算例表明该方法非常有效,具有很好的应用前景。

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