Research And Development Of Decision Support System For Electricity Price Prediction Of Power Generation Enterprises

被引:0
|
作者
Wang Shuo [1 ]
Peng Xiuyan [1 ]
机构
[1] Harbin Engn Univ, Coll Automat, Harbin 150001, Peoples R China
来源
2019 INTERNATIONAL CONFERENCE ON SMART GRID AND ELECTRICAL AUTOMATION (ICSGEA) | 2019年
关键词
DSS; power generation; prediction; bidding; strategy; cost;
D O I
10.1109/ICSGEA.2019.00026
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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.
引用
收藏
页码:78 / 82
页数:5
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