分散式风储一体化电站容量规划研究

发布时间：2018-01-30 04:14

本文关键词： 分散式风电储能系统双层规划遗传算法 VC++　出处：《新疆大学》2017年硕士论文　论文类型：学位论文

【摘要】：近年来,十分严重的弃风现象制约了集中式风电的进一步发展,相对于集中式风电发展的瓶颈,分散式风电凭借其投资省、能就近消纳、接入方式灵活等优点逐渐受到业界重视。但分散式风电仍摆脱不了风电本身固有的不可控、不可调和反调峰等特性,而近年来风储联合系统的快速发展充分说明了储能技术可有效地解决这些问题。本文针对分散式风储一体化电站(Distributed Wind-Storage System Integration,DWSSI)规划问题,首先,提出了一种保证DWSSI总容量最大的同时兼顾全局经济性最优的双层规划模型:以DWSSI总容量最大为上层规划目标,考虑各地的风能资源与电网资产组成的风电消纳能力等约束;以DWSSI的经济性最优为下层规划目标,其又分为若干个接入点优化风储配比问题,主要考虑DWSSI可靠性和风储出力目标等约束,并采用嵌套的遗传算法对该模型求解。其次,在上述研究内容的基础上基于Microsoft Visual C++6.0平台的MFC框架开发了一款操作简单、使用方便、界面友好的DWSSI容量规划软件。最后,通过某分散式风电场实例验证,结果表明该模型与算法均是可行的,并进一步分析了风力发电机类型及威布尔参数对其规划结果的影响。研究结果为我国风电的后续发展提供了一个新的思路,丰富了风储规划的理论体系,可为DWSSI的容量规划提供一定参考,且对提高风能利用率、节能减排、环境保护等方面有重要意义。本文在研究过程中受到国家自然科学基金面上项目(51367018)以及国家电网公司科技项目(5230JY170002)的资助。
[Abstract]:In recent years, the phenomenon of wind abandonment has restricted the further development of centralized wind power. Compared with the bottleneck of centralized wind power development, decentralized wind power, with its investment saving, can be accepted nearby. The advantages of flexible access methods have been gradually attached importance to the industry, but decentralized wind power still can not get rid of the inherent uncontrollable wind power, irreconcilable anti-peak adjustment and other characteristics. The rapid development of combined wind storage system in recent years fully shows that energy storage technology can effectively solve these problems. Distributed Wind-Storage System Integration. First of all, a bilevel programming model is proposed to ensure the maximum total capacity of DWSSI while taking into account the global economic optimization. The maximum total capacity of DWSSI is regarded as the upper level programming goal. Considering the wind energy resources and grid assets of wind power absorption capacity constraints; Taking the economic optimization of DWSSI as the lower level programming objective, it is divided into several access points to optimize the ratio of air storage, mainly considering the constraints of DWSSI reliability and wind output force target. And the nested genetic algorithm is used to solve the model. Secondly. Based on the above research content, a MFC framework based on Microsoft Visual C 6.0 platform is developed, which is easy to operate and easy to use. DWSSI capacity planning software with friendly interface. Finally, through a distributed wind farm example, the results show that the model and algorithm are feasible. The effects of wind turbine type and Weibull parameters on the planning results are further analyzed. The results provide a new idea for the subsequent development of wind power in China and enrich the theoretical system of wind storage planning. It can provide some reference for the capacity planning of DWSSI, and it can improve the utilization of wind energy, save energy and reduce emissions. Environmental protection is of great significance. In the course of the research, this paper was supported by the National Natural Science Foundation of China (51367018) and the State Grid Corporation's science and technology project (. 5230 JY170002).
【学位授予单位】：新疆大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM61

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