【作者】 张蓓；

【导师】 颜伟； 邓武军；

【作者基本信息】 重庆大学 ， 电气工程， 2008， 硕士

【摘要】 发输电设备检修计划的制定是电力系统运行调度的重要工作。传统方法没有详细考虑发电设备与输电设备检修的协调,没有详细考虑检修计划对电网安全和发电计划的影响,常常导致检修方案的不合理,给电网安全运行和节能调度增加了困难。发输电设备检修计划的协调优化是解决上述问题的关键。论文结合四川电网的结构及其发电机组构成的特点,对发输电设备最优检修计划的模型与算法进行研究,主要工作如下:①建立了发输电设备检修计划的协调优化模型。该模型以机组的全年能耗水平最小为目标,约束条件主要包括机组与联络线的检修约束、电力电量平衡约束、电厂与区域电网的断面潮流约束等。优化模型体现了机组与关键设备检修计划的协调及其对发电计划的影响,因而具有更大的实用价值。②提出了求解发输电设备最优检修计划的遗传算法。实现了随机个体的染色体编码、交叉与变异等遗传操作。其中,设计了包含设备的检修信息、电力电量约束信息的多个数据矩阵来表示随机个体的基因信息,从而提高了随机个体约束查询及适合度计算的效率。同时,结合机组的能耗系数排序以及电量电力的平衡关系,提出了制定发电计划的启发式寻优方法,兼顾了求解发电计划的最优性和快速性。③论文以四川电网的实际发输电设备检修计划的为例,验证了论文所提模型和算法的有效性。更多还原

【Abstract】 Scheduling generation and transmission maintenance is of importance in power system operation. However, traditional approaches do not take fully into account the coordinating of generation and transmission maintenance, and the affection that the maintenance scheduling has to the security and generation scheduling of power system. Consequently, the obtained maintenance scheduling is often infeasible and being an obstacle to security and economic operation of power system. Integrated generation and transmission maintenance scheduling is the key to solve the above problem. Considering the features of the generating units’ types and the framework of the Sichuan province power grid, the thesis researches the model and optimal algorithm of the integrated generation and transmission maintenance scheduling problem. The major work is followed as:Firstly, a model of the generation and transmission maintenance scheduling problem is established. The objective is to minimize total production costs. The constraint set consists of maintenance constraints of generating units and tie lines, power and energy balance constraints, tie lines capacity limits of generating stations and regions, and so on. The model reflects the coordinating of maintenances between generating units and key transmission lines, and the maintenance affection to generation scheduling. Thus, the proposed model is more practical.Secondly, an efficient genetic algorithm is presented to solve the integrated generation and transmission maintenance scheduling problem. Chromosome code, crossover and mutation operations are developed simultaneously. Where, several data matrices, which represent individual’ gene information of maintenance and power constraints, etc, are designed to improve the efficiency of constraints inquiry and fitness evaluation. A heuristic method is proposed to schedule generation, which is based on the sorting of energy consuming coefficient of units and the balance of power and energy, so that the generation plan can be solved fast with minimum energy consuming.Thirdly, based on the data of the generation and transmission maintenance scheduling of Sichuan province power grid, digital simulation is tested and the results demonstrate the efficiency of the proposed model and algorithm.更多还原