发电企业电价预测决策支持系统的研究与开发

Shuo Wang, Xiuyan Peng
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引用次数: 0

摘要

为满足新形势下发电企业在生产、经营和上网投标等方面的需求,开发了发电企业上网决策支持系统。系统包括成本特征分析模块、投标分析模块、报价策略模块、实时报价系统模块、实时成本跟踪模块和交易评估系统模块。在关键的电价预测模块中,开发了基于遗传优化算法的成本分析算法和基于博弈论的竞价策略。测试结果表明,发电企业运营决策支持系统运行良好,预测价格较为准确,为发电企业参与互联网竞争提供了技术基础,为未来的生存和发展提供了有力支撑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research and Development of Decision Support System for Electricity Price Prediction of Power Generation Enterprises
To meet the needs of power producers in production, operation and bidding for access to the Internet under new situation, we e develop the operation decision support system for power generation enterprises. The system includes cost characteristic analysis module, bidding analysis module, quotation strategy module, real-time quotation system module, real-time cost tracking module and transaction evaluation system module. In the key electricity price forecasting module, the cost analysis algorithm based on genetic optimization algorithm and bidding strategy based on game theory are developed. The testing results show that the operation decision support system of the power generation enterprises runs well and the forecast price is more accurate, which provides the technical basis for the power generation company to compete on the Internet and it provides strong support for future survival and development.
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