电力系统经济调度及其多目标优化研究

发布时间：2017-12-30 19:20

本文关键词：电力系统经济调度及其多目标优化研究　出处：《华南理工大学》2016年硕士论文　论文类型：学位论文

【摘要】：随着我国经济的快速发展,我国对电能的需求量持续上升,与此同时,电力工业作为化石能源消耗和污染物排放的大户,在节能减排上受到政府的严格管控。在此背景下,如何合理地分配电能,并兼顾由电力发展引起的环境问题,已成为电力系统调度领域的一个重要问题。为了更全面地考虑不同应用情景下的电力调度问题,本文首先提出了三种确定性的电力系统调度模型,然后针对每一种模型提出相应的优化方法,接着通过标准测试系统验证本文所提出的方法的有效性。首先,针对电力系统静态经济调度问题,提出了非凸的电力系统静态经济调度模型。该模型考虑发电机组的阀点效应、机组禁运区约束、网络损耗、爬坡约束和旋转备用约束等。引入上述复杂约束后,提高了模型的完整性,但增加了问题的求解难度。为了求解非凸的电力系统静态调度模型,本文提出了三种优化方法,包括基于抛物线模型的快速?迭代方法、基于线性迭代和紧凑形式的方法和基于两阶段混合整数规划的方法,并通过四个标准测试系统的对比结果验证上述三种方法的有效性。然后,本文提出了两种电力系统动态经济调度模型,包括考虑发电机组阀点效应的非凸电力系统动态经济调度模型和考虑直流网络损耗的电力系统动态经济调度模型。第一种模型在非凸的电力系统静态经济调度模型的基础上,考虑了不同调度时段之间的机组爬坡约束,因此问题规模更大。针对该大规模高度非凸的优化模型,本文提出了基于两阶段混合整数线性规划的电力系统动态调度方法和基于线性近似和混合整数规划的电力系统动态调度方法。此两种方法的核心是通过线性近似技术和混合整数编码技术将原非凸优化问题转化为混合整数规划问题。为了更准确模拟网络损耗,本文在第二种模型中考虑了直流网络损耗。针对第二种模型,本文结合约束松弛技术和惩罚技术,提出了带惩罚因子的混合整数二次约束二次规划电力系统动态调度方法,并与直流最优潮流方法、交流最优潮流方法和分段线性化方法进行对比。最后,针对考虑经济性和排放的电力系统多目标调度模型,本文提出了一种基于权重的两阶段电力系统多目标调度优化方法。该方法主要结合权重的思想,根据不同目标的重要程度对各个目标进行加权,将多目标优化问题转化为单目标优化问题。在40机组标准测试系统上的仿真表明,本文提出的基于权重的两阶段电力系统多目标调度优化方法能够有效求解考虑经济性和排放的电力系统多目标调度模型。
[Abstract]:With the rapid development of China's economy, the demand for electric energy in China has been rising. At the same time, the electric power industry as a major consumer of fossil energy consumption and pollutant emissions. Energy saving and emission reduction is strictly controlled by the government. In this context, how to distribute electricity reasonably and take into account the environmental problems caused by the development of electricity. It has become an important problem in the field of power system dispatching. In order to consider the power dispatching problem in different application scenarios more comprehensively, three kinds of deterministic power system dispatching models are proposed in this paper. Then the corresponding optimization method is proposed for each model, and then the effectiveness of the proposed method is verified by the standard test system. Firstly, the static economic dispatch problem of power system is studied. A non-convex static economic dispatching model of power system is proposed, which takes into account the valve point effect of generating set, the constraint of unit embargoed zone, the network loss, the constraint of climbing slope and the constraint of rotating reserve, etc. The complex constraints mentioned above are introduced into the model. The integrity of the model is improved, but the difficulty of solving the problem is increased. In order to solve the non-convex static dispatching model of power system, this paper proposes three optimization methods, including the fast method based on parabola model. The iterative method is based on linear iteration and compact form method and based on two-stage mixed integer programming method. The effectiveness of the above three methods is verified by the comparison of four standard test systems. In this paper, two kinds of dynamic economic dispatching models of power system are proposed. The dynamic economic dispatching model of non-convex power system considering the valve point effect of generator set and the dynamic economic dispatching model of power system considering DC network loss are included. The first model is static economic dispatching model in non-convex power system. On the basis of. Considering the constraints of unit climbing between different scheduling periods, the scale of the problem is larger. For this large-scale non-convex optimization model. In this paper, a power system dynamic scheduling method based on two-stage mixed integer linear programming and a power system dynamic scheduling method based on linear approximation and mixed integer programming are proposed. The core of these two methods is linear approximation. In order to simulate the network loss more accurately, the original non-convex optimization problem is transformed into a mixed integer programming problem by using the hybrid integer coding technique and the hybrid integer coding technique. In this paper, the loss of DC network is considered in the second model. For the second model, the constraint relaxation technique and the penalty technique are combined in this paper. A hybrid integer quadratic constrained quadratic programming power system dynamic scheduling method with penalty factor is proposed and compared with DC optimal power flow method AC optimal power flow method and piecewise linearization method. Aiming at the multi-objective dispatching model of power system considering economy and emission, a two-stage multi-objective scheduling optimization method based on weight is proposed in this paper. This method mainly combines the idea of weight. According to the importance of different targets, the multi-objective optimization problem is transformed into a single-objective optimization problem, and the simulation results on the standard test system of 40 units show that the multi-objective optimization problem can be transformed into a single-objective optimization problem. In this paper, a weighted multi-objective scheduling optimization method for two-stage power system is proposed, which can effectively solve the multi-objective scheduling model of power system considering economy and emissions.
【学位授予单位】：华南理工大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TM73

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