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首页> 外文期刊>International journal of electrical and power engineering >Generation Scheduling and Evaluation of Risk under Frequency Dependant Availability Based Tariff
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Generation Scheduling and Evaluation of Risk under Frequency Dependant Availability Based Tariff

机译：基于频率相关可用性的电价下的发电调度和风险评估

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摘要

Indian power sector is undergoing structural as well as regulatory changes to inculcate competition, improve grid operation. Under changing scenario, the utilities have exposed to many uncertainties and challenges. Implementation of Availability Based Tariff (ABT) is one of the important steps taken by Indian Ministry of Power and govt, so that utilities can earn commercial benefits keeping pace with satisfactory grid operation. The special feature of ABT is the correlation of system frequency with the price of power available at grid. The ABT has Unscheduled Interchange (UI) component which depends on frequency. The volatile nature of frequency results in uncertainty in the price of power. Hence to ascertain the price of power, it is necessary to predict frequency. Frequency being a randomly varying parameter, its prediction is difficult. An attempt is made to use Artificial Neural Network (ANN) as a viable tool for predicting frequency. Once frequency is predicted, UI rate can be estimated to enable utilities to take operational decisions. Under ABT, frequency plays a governing role in scheduling the available generation while fulfilling load. Hence, Generation Scheduling (GS) has become an adaptive decision making problem linked up with frequency and price of power. An approach of incorporating power available at grid as additional generator with duly modified cost curve in GS task is repotted. The technical as well as commercial benefits experienced by Indian power sector are validated through results along with calculation of additional cost likely to be incurred by the utility due to error in estimating frequency.
机译：印度电力部门正在进行结构和法规方面的变革，以灌输竞争，改善电网运营。在不断变化的情况下，公用事业面临许多不确定性和挑战。实施基于可用性的电价（ABT）是印度电力和政府部采取的重要步骤之一，因此公用事业公司可以在与令人满意的电网运行保持同步的同时获得商业利益。 ABT的特点是系统频率与电网可用电价之间的相关性。 ABT具有计划外交换（UI）组件，具体取决于频率。频率的易失性导致电价的不确定性。因此，为了确定电价，有必要预测频率。频率是随机变化的参数，其预测很困难。尝试使用人工神经网络（ANN）作为预测频率的可行工具。一旦预测了频率，就可以估算UI速率，以使公用事业部门能够做出运营决策。在ABT下，频率在满足负载的同时调度可用发电量方面起着主导作用。因此，发电调度（GS）已成为与频率和电价挂钩的自适应决策问题。提出了将电网可用功率作为额外发电机并在GS任务中适当修改成本曲线的方法。印度电力部门所经历的技术和商业利益将通过结果进行验证，并计算由于估计频率的误差而导致公用事业可能产生的额外成本。

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