遗传算法和BP神经网络在水电站经济优化研究调度中应用研究.doc

摘 要 水电站优化调度，旨在充分利用水资源，使发电量最大，从而提高经济效益。 本文的研究对象是在电厂出力给定时以及各种约束条件下，如何求解厂内机组间有功负荷的最优分配问题。从而合理安排水电站的运行方式，改善电厂及整个电力系统的供电质量、提高运行可靠性。本文主要讲述了遗传算法和BP神经网络在水电站经济优化调度中的应用,对经济调度、遗传算法和BP神经网络的基本原理进行了综述。 本文具体分析水力发电机组耗流量和机组间负荷最优分配的计算方法，建立了机组的耗流量模型和优化运行模型，为水电站优化调度的研究打下了理论基础。 基于VB平台的“经济优化调度”软件的研究与开发，是利用面向对象的编程技术，设计出与Windows操作系统风格一致的界面。使用Access软件进行水电站厂内各机组的数据库设计，应用Visual Basic (VB)语言进行程序化水电站的“经济优化调度”。 关键词：遗传算法；BP神经网络；电力系统经济调度；VB Abstract The power station optimizes dispatchers, in order to fully utilize the water resource, make generation largest, thus increase economic efficiency. The research object of this text is how to solve the distribution of the factory Units Active optimal load when the power plant exerts oneself and gives definitely and under various kinds of restraint terms, thus reasonable arrangements for the operation of hydropower stations, and the entire plant to improve the electricity supply system of quality and reliability. This text has mainly told that the hereditary algorithm and BP neural network optimize the application of dispatchers in the economy of the power station, and I make the Summary Including the survey to economic dispatcher, hereditary algorithm and basic principle of BP neural network. This stationery body analysis water conservancy generating set dawdle flow and load optimum computing technology that assign among the aircrew, have set up consuming the flow model and optimizing the model of operating of the aircrew, and has laid the theoretical foundation in research of optimizing the dispatcher for the power station. Based on the research and development of software of economy optimizes dispatchers on VB platform, i utilize programming technology facing target to design the interface keeping the same with Windows operating system style. First i use access software to carry on the design of storehouse of data of every unit in the factory of power station. Second, i use Visual Basic (VB) to Program the procedure power station economy is optim