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三维可拓展梯级水电站气象水文预报及调度智能化系统研究
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Abstract:
随着电力市场的不断推进，电站精细化调度势在必行，梯级水电站对预报、调度等功能需求紧迫，使得梯级水电站气象水文预报及调度智能化系统平台(Intelligent System Platform For Meteorological And Hydrological Prediction and Dispatching Of Cascade Hydropower Stations, IMFDH)面临时间、空间和功能三个维度扩展需求。本文根据目前已有IMFDH系统灵活性低、可拓展性差的特点，提出了总体系统设计方案，从基于规范接口的“即插即用”式平台功能插件实现、多维度数据存储方法、计算空间顺序自动确定、基于“模型云”模型算法拓展等关键技术，构建了3维度高可扩展性IMFDH系统框架。在多地区的应用表明，与传统面向特定需求的IMFDH系统平台相比，本系统在灵活性、伸缩性和可扩展性方面更具优势。
With the continuous advancement of the power market, it is imperative for hydropower stations to carry out refined dispatching. Cascade hydropower stations have urgent requirements for forecasting, dispatching and other functions, which makes the intelligent system platform for meteorological and Hydrological Prediction and dispatching of cascade hydropower stations (IMFDH) face time Space and function are three dimensions to expand requirements. According to the characteristics of low flexibility and poor scalability of the existing IMFDH system, this paper puts forward the overall system design scheme, from the implementation of “plug and play” platform function plug-in based on standard interface, multi-dimensional data storage method, automatic determination of computing space sequence, expansion of model algorithm based on “model cloud” and other key technologies. A three-dimensional high scalability IMFDH system framework is constructed. The application in many regions shows that compared with the traditional demand-oriented IMFDH system platform, the system has more advantages in flexibility, scalability and scalability.
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