马来西亚电力供应行业不平衡成本转嫁定价预测的单一买方模型

Fatin Khairunnisa Khairuddin, Farah Anishah Zaini, Mohamad Fani Sulaima, Nur Hazahsha Shamsudin, Mohd Shahrin Abu Hanifah
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引用次数: 0

摘要

不平衡成本转嫁(ICPT)是激励性监管(IBR)的一个灵活组成部分,它使电力生产商有能力根据燃料价格的变化调整电价,从而提高发电的经济弹性。在马来西亚,能源委员会每半年对燃料和其他发电成本进行一次审查。在这些审查中发现的任何成本节约或增加,都将以回扣或附加费的形式转嫁给客户。同时,如果能够向电力供应商和消费者提供 ICPT 价格信号的增量,就可以及早为运营预算做好准备,并为能源管理计划的制定做好充分准备。基于这个原因,本研究提出了马来西亚半岛电力市场的 ICPT 价格预测,这将使利益相关者受益。本研究旨在通过采用三种预测方法,为半岛发电数据构建一个 ICPT 相关基线模型。预测性能使用平均绝对百分比误差 (MAPE) 进行分析。根据我们的研究结果,与移动平均(MA)和 LSSVM 方法相比,ARIMA 方法是最准确的燃料价格预测方法之一。ICPT 的 ARIMA 模型和 LSSVM 模型之间的价格差异很小。2022 年 7 月至 12 月和 2023 年 1 月至 6 月的 ICPT 价格分别为:ARIMA 法 0.21 马币/千瓦时和 LSSVM 法 0.18 马币/千瓦时,与 TNB 的实际 ICPT 电价接近。至于预测,预计 ICPT 价格将在下一次公布时下降。本研究的结果可能会对马来西亚能源行业的可持续发展产生积极影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Single-Buyer Model of Imbalance Cost Pass-Through Pricing Forecasting in the Malaysian Electricity Supply Industry
The imbalance cost pass-through (ICPT) is a flexible component of the incentive-based regulation (IBR) that empowers power producers to adjust tariffs in response to variable fuel prices, thereby enhancing the economic resilience of electricity generation. In Malaysia, the Energy Commission has conducted biannual reviews of fuel and other generation costs. Any cost savings or increases identified during these reviews will be passed on to customers in the form of rebates or surcharges. Meanwhile, if an increment in the ICPT price signal can be provided to electricity providers and consumers, early preparation for operation budgeting can be realised, and energy management program development can be properly prepared. Due to this reason, this study proposes ICPT price forecasting for the electricity market in Peninsular Malaysia that will benefit the stakeholders. The study aims to construct an ICPT-related baseline model for the peninsular generation data by employing three forecasting methods. The forecasting performance is analysed using the mean absolute percentage error (MAPE). In light of our findings, the ARIMA method is one of the most accurate forecasting methods for fuel prices compared to the moving average (MA) and LSSVM methods. The observed price differences between the ARIMA and LSSVM models for ICPT are minimal. The ICPT price for July–December 2022 and January–June 2023 is MYR 0.21/kWh for the ARIMA and MYR 0.18/kWh for LSSVM, which are close to the actual TNB’s ICPT tariff. As for forecasting, the ICPT price is expected to drop in the next announcement. The findings of this study may have a positive impact on the sustainability of the energy sector in Malaysia.
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