电力竞价上网智能决策支持系统

根据电厂竞价上网的特点,基于大系统控制论思想,采用人工智能技术和博弈论方法建立了电力市场发电侧的电力竞价上网智能决策支持系统。采用数学模型方法建立发电成本计算模型;采用数学模型与知识模型相结合的方法建立发电成本构成分析与优化模型;采用3层前馈人工神经网络建立网上电价预测模型,用遗传算法确定网络连接权,以优化神经网络模型的学习过程;采用博弈论方法建立上网电力报价模型。在建立这些模型的同时,需要构建相应的数据库和知识库系统,如企业生产与管理数据库系统、生产优化知识库系统和电网数据库系统等。

Intelligent decision support system for electricity bidding

Combined with features of electricity bidding and based on the control theory of large scale systems,an intelligent decision support system for electricity bidding in deregulated power market at generation side is established by using the artificial intelligence technology and the game theory.The model of composition analysis and optimization for generation cost is set up combining the mathematical model and the knowledge model of generation cost calcu-lation.The model of electricity price forecast on network is set up by using a three-layer forward-feedback artificial neural network,and its network connection weights are decided by genetic algorithm to optimize its learning process.The model of electricity pricing on network is set up by the game theory.Relative database and knowledge database systems are necessary for these models,such as the enterprise production and management database system,the produc-tion optimization knowledge database system and the power grid database system and so on.