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Electricity Price Forecast for Optimal Energy Management for Wind Power Producers: A Case Study in Indian Power Market

机译：风力发电企业最佳能源管理的电价预测：以印度电力市场为例

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Wind power producers (WPPs) in India integrated with the battery energy storage system (BESS) can be benefitted with additional revenue by participating in the short-term electricity market. Electricity price forecasting is key for devising optimal bidding strategies for WPPs as well as for efficient energy management of BESS. This paper discusses the opportunities for WPPs if they participate in wind energy trading. To understand the case, a wavelet-based neural network (WNN) has been employed for day-ahead electricity price forecasting in Indian power market. The real data from Indian Electricity Exchange (IEX) is used to evaluate the performance of the forecast model. The predicted price information would help in deviation settlement for WPP by optimal scheduling the BESS and in mitigating the voltage and frequency incursions. Further, it would bring more economic values to WPPs as well as grid operator for improving the grid reliability.
机译：通过参与短期电力市场，印度的风能生产商（WPP）与电池储能系统（BESS）集成可以从中获得更多收益。电价预测是为WPP设计最佳竞标策略以及BESS高效能源管理的关键。本文讨论了WPP参与风能贸易的机会。为了了解这种情况，已将基于小波的神经网络（WNN）用于印度电力市场中的日前电价预测。来自印度电力交易所（IEX）的真实数据用于评估预测模型的性能。预测的价格信息将通过优化调度BESS并减轻电压和频率干扰来帮助解决WPP的偏差。此外，这将为WPP和电网运营商带来更多的经济价值，从而提高电网的可靠性。

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