【作者】 马烨巍；

【导师】 董朝霞； 杨峰；

【作者基本信息】 华中科技大学 ， 系统分析与集成， 2007， 硕士

【摘要】 中国电力工业正处在网厂分开、竞价上网、开放电力市场阶段,而自动发电控制(Automatic Generation Control,简称AGC)是电力市场中辅助服务市场的重要组成部分。电力市场中如何以最经济的方式调度AGC机组逐渐成为牵动全局,事关发电、用户、输电各方利益的重大问题。我国的电力市场化起步较晚,所以电力市场化改革过程中存在很多亟待解决的问题,由于我国电厂的自动化水平较低,我国的辅助服务市场规模,结构和运作程序与发达国家都是有距离的,尤其是在辅助服务市场,本文对电力市场下AGC机组的调配问题进行研究,采用了计及机组AGC调节容量变化的数学模型,对利用遗传算法求解这一非线性混合整数规划问题进行了探索,对遗传算法也作了相应的改进。文中首先对国内外AGC辅助服务的研究情况进行了综述,从而对现有的AGC辅助服务的市场框架和具体算法有了全面的了解。其次,对我国电力市场下AGC机组调配问题进行了研究,提出了计及机组AGC调节容量变化的数学模型,对该模型中的基本要素即目标函数与不等式约束进行了剖析,从而明确了亟待解决的问题,并对利用遗传算法求解这一非线性混合整数规划问题进行了探索,实现了一种AGC机组调配的算法,同时对遗传算法也作了相应的改进,加快收敛速度,提高其全局搜索能力。最后用实际系统的算例进行了仿真计算,对遗传算法参数的选取与调整进行了讨论,计算结果表明文章的方法正确有效。更多还原

【Abstract】 The power industry of China is going to establish a market-based operational mechanism which makes a feature of separation of generation and transmission management, competition before supplying and open access .In electricity market the problem of pricing and performing management is an important problem which concerns the interest of all sides, including generation, transmission and customers. While the beginning of marketization of electrical power in China is later than other developed countries, there are many problems about power marketization needing resolved. Especially in ancillary service market, from the research of the deployment of AGC unit in the electricity market ,set forth the mathematical model with Changes in the capacity of AGC unit, discusses the use of GA as the exploration of nonlinear mixed-integer programming problem,and also has been improved the traditional GA.In this paper, firstly, we have made many researches on position about electricity market at abroad and home and analyzed the good experience of AGC ancillary service market, thereby having a comprehensive understanding of existing generating ancillary services market framework and the specific algorithm. On this basis, bring forward the deployment framework of AGC under China’s electricity market. Secondly,issue the deployment of AGC of China’s power market, put forward the mathematical model with diverse capacity of AGC. For Several of the basic elements of this model: the objective function, the analysis of inequality constraints, therefore clearly defined the problems that need urgent solution. Explore the use of the genetic algorithm for the nonlinear mixed-integer programming problem.Finally, the paper proposed AGC simulation algorithm, the genetic algorithm has also been improved, to speed up the convergence and improve its ability of overall search’s capability. In practical examples of simulation systems at the same time.Also discusses the selection and adjustment of the GA parameters in examples of simulation of practical systems. By calculation, the article is feasible.更多还原