【作者】 刘浩然；

【导师】 卢志刚； 张鸿；

【作者基本信息】 燕山大学 ， 工程硕士（专业学位）， 2020， 硕士

【摘要】 随着经济社会的发展,人们对能源的需求不断增加,同时,对生态环境保护的要求越来越高,因此清洁能源发电的比例日益增大。燃气轮机的逐步并网,使电力系统与天然气系统逐步呈现出深度耦合的趋势,电-气综合能源系统经济调度问题的计算模型也趋向复杂。电-气综合能源系统经济调度是一个变量高维、多时段优化问题。并且,电力系统和天然气系统拥有各自的调度控制中心,使得两个系统之间信息交流有限。针对以上问题,把粒计算思想引入电-气综合能源经济调度的求解,采用合适的粒化方法将复杂问题转化为等价的简单结构化问题。主要研究内容如下:首先,构建了基于粒计算的电-气综合能源系统经济调度问题基本分析框架。针对电-气综合能源系统变量高维和多时段优化的问题,在时间和结构上把调度问题进行分类拆分,以降低求解维度,提高求解速度。介绍了YALMIP工具箱的建模语言和使用方法,通过该工具箱调用求解器CPLEX的方法求解电-气综合能源系统经济调度问题。其次,提出了一种计及时段粒化的电-气综合能源系统低碳经济调度快速求解策略。该策略包括基于改进k-means聚类的时段粒度划分,粗粒度的调度优化和调度结果的粒度细化3个阶段。针对电-气综合能源系统低碳经济调度中存在的变量维度高、求解时段多和联合求解收敛速度慢等问题,基于粒计算的思想,把多个时段粒化成粗时段粒子,降低变量维数,加快求解速度。通过两个算例进行算例分析,验证了所提策略的可行性和有效性。最后,提出了一种电-气综合能源系统多时间尺度低碳经济调度模型。针对信息私密性导致电力和天然气系统之间信息交流有限的问题,采用结构粒化的思想,把电-气综合能源系统粒化成两个子系统,利用交替方向乘子法进行两个系统的信息交互。在结构粒化的基础上构建多时间尺度低碳经济调度模型,使得每个粒子系统遵循各自时间尺度进行经济调度问题求解。通过两个算例进行算例分析,验证了该策略的实用性和有效性。更多还原

【Abstract】 With the development of economy and society,people’s demand for energy is constantly increasing.At the same time,the ecological and environmental protection is a demanding job,so the proportion of clean energy generation is increasing.With the gradual grid connection of gas turbine,the electric power system and the natural gas system gradually present a trend of deep coupling,and the calculation model of the economic dispatch of integrated electricity and natural gas systems tends to be complex.The economic dispatch of integrated electricity and natural gas systems is a variable high-dimensional and multi-time optimization problem.Moreover,the electric power system and the natural gas system have their own dispatch control centers,making the exchange of information between the two systems limited.Aiming at the above problems,the idea of granular computing is introduced to solve the economic dispatch problem of integrated electricity and natural gas systems,and the complex problem is transformed into the equivalent simple structural problem by the appropriate granular method.The main work is as follows:Firstly,a basic analytical framework for the economic dispatch of integrated electricity and natural gas systems based on granular computing is constructed.Aiming at the problems of high variable and multi-time optimization in integrated electricity and natural gas systems,the dispatching problem is classified and divided in terms of time and structure to reduce the solving dimension and improve the solving speed.the modeling language and using method of YALMIP toolbox are introduced,and solves the economic dispatch of integrated electricity and natural gas systems are solved by invoking solver CPLEX.Secondly,a low-carbon economic dispatch fast strategy for integrated electricity and natural gas energy systems that considers the granulation of time periods is proposed.The strategy includes three stages: time period granularity division based on improved k-means clustering,coarse-grained dispatching optimization and granularity refinement of scheduling results.Aiming at the problems of high variable dimension,multiple solution time periods and slow convergence speed of joint solution in the low-carbon economic dispatch of integrated electricity and natural gas energy systems,multiple time periods are granulated into coarse time period particles based on the idea of granular computing to reduce the variable dimension and speed up the solution.The feasibility and effectiveness of the proposed strategy are verified by two examples.Finally,a multi-time scale low-carbon economic dispatch model for integrated electricity and natural gas energy systems is proposed.Aiming at the problem of limited information exchange between power and natural gas systems caused by information privacy,the idea of structural granulation is adopted to granulate the integrated electricity and natural gas energy systems into two subsystems,and the information exchange between the two systems is carried out using alternating direction multiplier method.A multi-time scale low-carbon economic dispatch model is built on the basis of structural granulation,so that each particle system follows its own time scale to solve the economic dispatch problem.Two examples are analyzed to verify the practicability and effectiveness of the strategy.更多还原