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发电机组检修计划优化及其管理系统实现

Optimization and Management System Realization of Generator Maintenance Scheduling

【作者】 院晓涛

【导师】 姚建刚;

【作者基本信息】 湖南大学 , 电力系统及其自动化, 2008, 硕士

【摘要】 发电企业从电网独立出来以后,其发电机组的检修属于内部经营管理范畴。为兼顾发电企业的经济利益和电网的稳定运行,需要发电企业和电网调度二者共同参与机组检修计划的编制,这给电网调度的检修计划管理带来了新的问题。如何利用先进的计算机信息系统实现检修计划的合理编制与科学、有效管理,是迫切需要解决的问题。发电机组检修计划实质上是一个多目标、多约束的问题,可分为数学建模和算法优化两部分。研究学者主要从可靠性和经济性的角度建立起相关的数学模型。传统的算法优化方法主要有启发式方法和数学规划方法。随着近年来人工智能的迅速发展,遗传算法、模拟退火算法、禁忌搜索算法、粒子群算法等智能优化方法被引入到机组检修计划中,为解决机组检修优化问题开辟了新的途径。论文以经济运行费用最小为目标建立起机组检修计划模型,并利用改进蚁群算法进行优化求解,利用状态表记忆机制和罚函数法对约束条件进行处理。该方法具有信息正反馈、分布式计算、贪婪启发式搜索等优点,是求解机组检修优化问题的一种有益尝试。机组检修计划编制是检修计划管理最为重要的内容,论文结合初级电力市场的特征,考虑多种约束条件和电力电量平衡提出了基于等备用法的检修计划优化调整方法。论文在分析机组检修管理业务的基础上,提出了一种基于J2EE的发电机组检修计划管理系统的设计方案,详细阐述了系统的核心模块功能和实现方法。该系统的成功开发,对实现发电机组检修计划的信息化管理具有重要的实用价值。

【Abstract】 After separating from the grid, generation’s unit maintenance belongs to its own management and administration category. Considering both the generation’s economic benefits and the power grid’s operational stability, it is necessary for the both to participate in generator maintenance scheduling, which brings new problems to the generator maintenance schedule management. It is urgent to make rational schedule using advanced computer information technology and realize scientific and effective management of generator maintenance.Virtually, generator maintenance scheduling is a multi-objective and multi-constraint question. It can be divided into two parts—mathematical modeling and algorithmic optimizing. Researchers establish models mainly in the view of reliability or economy. The traditional optimization algorithms are heuristic methods and mathematical programming. With rapidly developing of the artificial intelligence in recent years, some intelligent optimization methods such as genetic algorithms, simulation annealing, taboo search and particle swarm optimization are used and bring a new way to solve the problem of generator maintenance scheduling. In this paper, a model aimed to minimize the operation cost is established and improved ant colony optimization is proposed to solve the problem. The state memory mechanism and penalized function are used to deal with terms of constraints. The method proposed in this paper has many advantages such as positive feedback, distributed calculation, greedy and heuristic search, etc. It is a good try to solving the problem of generator maintenance scheduling.Scheduling is the most important part of generator maintenance management. Considering the characteristics of the elementary power market, the constraints and power balance, this paper proposed a method of optimizing and adjusting maintenance schedule based on equal reserve. Further, based on analyzing maintenance schedule management, a system design based on J2EE is proposed, in which the function of the key modules and the system implementation methods are elaborated. The successful realization of this system is of great practical value to the management infomationization for the maintenance scheduling.

  • 【网络出版投稿人】 湖南大学
  • 【网络出版年期】2008年 12期
  • 【分类号】TM31;TM73
  • 【被引频次】5
  • 【下载频次】209
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