电力系统中长期多目标机组组合问题研究

发布时间：2018-08-18 15:47

【摘要】：现代大型电力系统中电源结构多元化，不同类型机组特性各不相同，因而对其运行的要求也发生了相应改变，需要对机组的启停和出力组合进行更合理的调度安排，最大限度地减少能源消耗，，进一步提升机组的节能潜力。为了在更长的时间范围内，统筹考虑电力系统运行效益，合理安排机组的启停和出力，对系统的经济性和安全性有更宏观的反映，本文对兼顾电力系统经济效益和环境效益的中长期机组组合问题的多目标建模和求解进行了研究。机组组合问题是一个大规模动态非凸混合整数规划问题，对其求解十分困难。本文建立了兼顾环境效益和经济效益的多目标中长期机组组合问题模型。为了获得多目标模型的具有均匀分布的Pareto最优解集，采用NNC法将多目标问题转化为单目标问题，运用GAMS／CPLEX进行求解。同时，随着机组组合模型逐渐贴近实际，约束会明显增多，求解难度会增大，用严格的数学理论优化方法求解会出现困难。因此，提出了求解机组组合问题的实用化算法，结合工程实际约束，实现了节能调度要求下的发电机组排序、开机组合确定、基于等备用原则的备用容量优化安排、机组出力优化的电力系统机组组合优化流程。采用某省级电网的实际数据，针对1周（168时段）和1个月（720时段）的机组组合问题，分别采用NNC＋GAMS／CPLEX和实用化算法求解，并进行了对比分析。此外，还采用实用化算法对该电网春节前后41天的机组组合问题进行仿真分析。
[Abstract]:In modern large-scale power system, the power supply structure is diversified, and the characteristics of different types of units are different, so the operation requirements have also changed accordingly, so it is necessary to make more reasonable scheduling arrangements for the starting and stopping of units and the power generation combination. To minimize energy consumption, further enhance the energy conservation potential of the unit. In order to consider the operation benefit of power system in a longer period of time as a whole and arrange the start, stop and output of the unit reasonably, the economy and safety of the system can be reflected more macroscopically. In this paper, the multi-objective modeling and solution of the medium- and long-term unit combination problem with both economic and environmental benefits of power system are studied. The unit commitment problem is a large scale dynamic nonconvex mixed integer programming problem, which is very difficult to solve. In this paper, a multi-objective long-term unit commitment model with both environmental and economic benefits is established. In order to obtain the Pareto optimal solution set with uniform distribution of the multi-objective model, the NNC method is used to transform the multi-objective problem into a single-objective problem, and GAMS/CPLEX is used to solve the problem. At the same time, with the unit model gradually close to the reality, the constraints will increase obviously, the difficulty of solving the problem will increase, and it will be difficult to solve the problem with strict mathematical theory optimization method. Therefore, a practical algorithm for solving the problem of unit combination is proposed. Combined with the practical constraints of engineering, the scheduling of generating units under the requirements of energy-saving scheduling, the determination of start-up combination, and the optimal arrangement of reserve capacity based on the principle of equal reserve are realized. The optimal process of generating power unit combination in power system. Based on the actual data of a provincial power network, NNC+GAMS/CPLEX and practical algorithm are used to solve the unit combination problem of one week (168th) and one month (720th), respectively, and a comparative analysis is carried out. In addition, the practical algorithm is used to simulate the power grid unit combination problem in 41 days before and after Spring Festival.
【学位授予单位】：华南理工大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM73

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