含风力发电的配电网络重构研究

发布时间：2018-05-12 22:08

本文选题：配电网重构 + 风力发电　；参考：《广西大学》2014年硕士论文

【摘要】：随着风能在世界能源格局中的比重不断增加,风电渗透率也不断增大,大力发展风电是未来电力系统的必然趋势。然而,风电功率具有很强的不确定性和易变性,对系统的运行状态产生不确定性影响,从而使含风力发电的配电网络重构变得更加复杂。因此,结合不确定性理论,有效地处理风电的随机性,在高效利用风能和保证配电系统安全运行的情况下研究含风力发电的配电网络重构具有十分重大的意义。本文首先分析了最新智能算法——蝙蝠算法的理论和运行机制,引入学习因子并结合基本蝙蝠算法的参数收敛区域对其加以改进；通过计算IEEE-30标准测试系统的最优潮流,验证了改进算法的计算速度和全局收敛性；引入Sigmoid函数,构造适合求解配电网重构问题二进制蝙蝠算法。其次,分析了风力发电的随机性,从风速的威布尔分布和考虑空气动力学的双馈异步风力发电机功率特性推导出风电功率的概率密度分布函数,采用瓦瑟斯坦(Wasserstein)距离指标推导出求解风电功率渐近最优场景的新模型,能有效地模拟风电功率的随机特性。另外,在分析配电网辐射状运行条件的基础上,首次提出基于二进制蝙蝠算法的配电网络重构模型和求解步骤；适当简化网络和约束转化,提高了算法搜索效率；通过对IEEE-33系统、美国PGE-69系统进行仿真,验证了模型和算法的有效性。最后,提出含风力发电的配电网络重构模型,用风电功率渐近最优场景,把不确定模型转化为确定模型,采用二进制蝙蝠算法、MATLAB和GAMS联合编程调用SBB求解器求解,对比分析两者的结果。通过对IEEE-33系统、美国PGE-69系统进行仿真,验证了模型的合理性以及方法的有效性,有效地分析了风力发电对配电网络重构的影响。对结果进行数理统计分析,得出各支路开关的闭合/断开概率分布、操作次数/操作概率分布以及有功损耗概率分布,能为开关设备选型和配电网运行方案的确定提供有价值的参考。
[Abstract]:With the increasing proportion of wind energy in the world energy pattern and the increasing wind power permeability, it is an inevitable trend to develop wind power system in the future. However, wind power has strong uncertainty and variability, which has an uncertain effect on the operating state of the system, which makes the reconfiguration of distribution network with wind power more complex. Therefore, combining the uncertainty theory and dealing with the randomness of wind power effectively, it is of great significance to study the reconfiguration of distribution network with wind power generation under the condition of efficiently utilizing wind energy and ensuring the safe operation of distribution system. This paper first analyzes the theory and running mechanism of the latest intelligent algorithm-bat algorithm, introduces the learning factor and improves it with the convergence region of the basic bat algorithm, and calculates the optimal power flow of the IEEE-30 standard test system. The computational speed and global convergence of the improved algorithm are verified, and the binary bat algorithm is constructed by introducing Sigmoid function to solve the distribution network reconfiguration problem. Secondly, the randomness of wind power generation is analyzed, and the probability density distribution function of wind power is derived from the Weibull distribution of wind speed and the power characteristic of doubly-fed asynchronous wind generator considering aerodynamics. Using the Wasserstein distance index, a new model for solving the asymptotically optimal scenario of wind power is derived, which can effectively simulate the stochastic characteristics of wind power. In addition, on the basis of analyzing the radial operation conditions of distribution network, the reconfiguration model and solving steps of distribution network based on binary bat algorithm are put forward for the first time. The effectiveness of the model and algorithm is verified by the simulation of IEEE-33 system and American PGE-69 system. Finally, a reconfiguration model of distribution network with wind power generation is proposed. The uncertain model is transformed into a deterministic model by using the wind power asymptotically optimal scenario, and the SBB solver is called by the binary bat algorithm MATLAB and GAMS. The results are compared and analyzed. Through the simulation of IEEE-33 system and American PGE-69 system, the rationality of the model and the validity of the method are verified, and the influence of wind power generation on the reconfiguration of distribution network is analyzed effectively. Through statistical analysis of the results, the closed / open probability distribution, the operation times / operation probability distribution and the active power loss probability distribution of each branch switch are obtained. It can provide valuable reference for the selection of switchgear and the determination of distribution network operation plan.
【学位授予单位】：广西大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TM614

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