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<p>As the prediction of the cost function for power exchange between the power networks is a predominant factor for effective power operation, the power operators are all subjected to paying the penalty for the power exchange over the various grid networks favored by load encroachment. The penalty imposed for the mismatching in the overdraw and under drawn of power for the power operators are all decided by various operating constraints, which could be effectively managed by introducing a modified penalty predictor model for the power exchange between the grid networks, which witnesses the overall dynamic operating nature of various power generating units. This research paper intends to bring out a penalty estimator programme based on considering multiple variables relevant to the operating condition at different time blocks arranged in a sequence of various factorizations of power indices using the curve fitting technique. The indicated power indices from the predictor model earned from various instances could be considered to impose penalties for the individual power operators. This indicator method could fit the curve, which can be rearranged multiple times through the linear regression method to bring out an optimized power operating condition. The shortcomings of imposing penalties in a flattened manner could be avoided by adopting this linear regression-based penalty indicator programme.</p>

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A linear regression penalty estimator programme for the mitigation of shortcomings in availability based tariff scheme adopted in Indian power grid networks

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年10月6日

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  • Mohan V,
  • Amalore Naveen Antony B,
  • Chitrakala G

摘要

As the prediction of the cost function for power exchange between the power networks is a predominant factor for effective power operation, the power operators are all subjected to paying the penalty for the power exchange over the various grid networks favored by load encroachment. The penalty imposed for the mismatching in the overdraw and under drawn of power for the power operators are all decided by various operating constraints, which could be effectively managed by introducing a modified penalty predictor model for the power exchange between the grid networks, which witnesses the overall dynamic operating nature of various power generating units. This research paper intends to bring out a penalty estimator programme based on considering multiple variables relevant to the operating condition at different time blocks arranged in a sequence of various factorizations of power indices using the curve fitting technique. The indicated power indices from the predictor model earned from various instances could be considered to impose penalties for the individual power operators. This indicator method could fit the curve, which can be rearranged multiple times through the linear regression method to bring out an optimized power operating condition. The shortcomings of imposing penalties in a flattened manner could be avoided by adopting this linear regression-based penalty indicator programme.