ABSTRACT

The progressive regulatory moves in the competitive energy market have encouraged market participants to invest more in the green energy sector worldwide. The unpredictability of renewable energy sources has caused the long-term energy market to dominate, despite many demerits. Studies show that long-term contracts are economically inefficient due to forecasting errors. These cause higher imbalance costs and limit overall profit. Thus, utilities need to unlock the potential of short-term contracts to tackle this imbalance. Because of this, a day-ahead energy contract model for a wind farm in the short-term energy market is proposed in this paper. The model is devised by forecasting season-specific wind speed scenarios. The profit margin of the wind farm is estimated under the Indian energy market context. Practicality issues like frequency sensitive imbalance pricing, scheduled energy price, and regulations of Indian grid codes are implemented. Case studies and results demonstrate the effectiveness of the proposed model.

摘要

竞争激烈的能源市场中的渐进式监管举措鼓励市场参与者在全球范围内加大对绿色能源领域的投资。尽管有许多缺点，但可再生能源的不可预测性导致长期能源市场占据主导地位。研究表明，由于预测错误，长期合同在经济上效率低下。这些会导致更高的不平衡成本并限制整体利润。因此，公用事业公司需要释放短期合同的潜力来解决这种不平衡问题。为此，本文提出了短期能源市场风电场日前能源合同模型。该模型是通过预测特定季节的风速情景而设计的。风电场的利润率是在印度能源市场背景下估算的。实施频率敏感不平衡定价、预定能源价格和印度电网规范等实用性问题。案例研究和结果证明了所提出模型的有效性。